WO2019031012A1 - Action detection device and method therefor, and monitored person monitoring assist system - Google Patents

Action detection device and method therefor, and monitored person monitoring assist system Download PDF

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Publication number
WO2019031012A1
WO2019031012A1 PCT/JP2018/018636 JP2018018636W WO2019031012A1 WO 2019031012 A1 WO2019031012 A1 WO 2019031012A1 JP 2018018636 W JP2018018636 W JP 2018018636W WO 2019031012 A1 WO2019031012 A1 WO 2019031012A1
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WIPO (PCT)
Prior art keywords
sub
determination
action
unit
sleep
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PCT/JP2018/018636
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French (fr)
Japanese (ja)
Inventor
和馬 新田
保理江 大作
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コニカミノルタ株式会社
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Priority to JP2019535606A priority Critical patent/JP7137154B2/en
Publication of WO2019031012A1 publication Critical patent/WO2019031012A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Social work
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/04Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using a single signalling line, e.g. in a closed loop
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • the present invention relates to an action detection apparatus and an action detection method for detecting a predetermined action of a person to be monitored which is a monitoring target to be monitored. And this invention relates to the to-be-monitored person monitoring assistance system using this action detection apparatus.
  • Japan has become an aging society, more specifically, a super aging society with an aging rate exceeding 26.7% (as of October 1, 2015, the Cabinet Office).
  • nurses who need nursing or nursing care due to illness, injury or old age, etc. need nursing care that occurs in a normal society that is not an aging society
  • the number is expected to increase more than people who need care and those who need care.
  • These caretakers generally enter facilities such as hospitals and welfare facilities for the elderly (in Japan, according to Japanese laws and regulations for the elderly, nursing homes and nursing homes for the elderly, etc.) receive.
  • nurses and carers etc. (nursing carers) check their safety and security by regularly patrolling them.
  • the state detection device disclosed in this patent document 1 is detected by the image processing unit that detects the moving direction of the target person by analyzing an image obtained by imaging the target person on the bed, and the image processing unit A determination unit that determines the current state of the subject based on the moving direction and the past state of the target, and an output that outputs information indicating the current state of the subject obtained by the determination unit. And a unit.
  • the past state and the current state are a landing state in which the subject is lying on the bed, a rising state in which the subject is raising the upper body on the bed, and the bed in which the subject is in the bed
  • the determination unit is configured to use the different criteria for each of the plurality of types of the past states, and the separated state including the bed leaving state at the end portion of the bed and the absent state in which the subject is separated from the bed.
  • the state detection device disclosed in the patent document 1 determines the above-mentioned state as described above, there is a possibility that erroneous determination may be made by the movement of the attendant near the bed, the turning over of the subject, etc. There is.
  • a monitor such as a nurse or a carer
  • useless notification to the monitor may be increased if a false alarm is generated due to misclassification,
  • the load of work due to a false alarm for example, the work of confirming the safety of a monitored subject such as a nurse requiring a care or a care requiring person increases.
  • the occurrence of false alarms due to misclassification is an important issue, particularly in the semi-night shift or night shift hours, when the number of observers decreases.
  • the present invention is an invention made in view of the above-mentioned circumstances, and an object thereof is an action detection apparatus and an action detection method capable of further reducing misclassification (misjudgment, false detection), and the action detection apparatus It is an object of the present invention to provide a monitored person monitoring support system.
  • the behavior detection device and the behavior detection method reflecting the one aspect of the present invention and the person-to-be-monitored support system measure the person to be monitored with the first and second sensors, respectively.
  • the sleep state of the person to be monitored is determined based on the first measurement result of one sensor
  • the predetermined behavior of the person to be monitored is determined based on the second measurement result of the second sensor
  • the sleep determination result is Control the action determination process.
  • the monitored person monitoring support system in the embodiment is provided corresponding to the monitored person Ob, and a sensor device for detecting a predetermined action in the monitored person Ob, and communicably connected to the sensor device from the sensor device
  • This sensor device includes the behavior detection device in the present embodiment.
  • the behavior detection apparatus in this embodiment determines the sleep state of the monitored person Ob based on the first and second sensors that measure the monitored person Ob and the first measurement result of the first sensor.
  • the behavior determination unit Controlling the behavior determination unit according to a sleep determination result of the sleep state determination unit, and a behavior determination unit that determines a predetermined behavior of the monitored person Ob based on a second measurement result of the second sensor And a processing control unit. Since this behavior detection device controls the behavior determination unit according to the sleep determination result of the sleep state determination unit, it is possible to further reduce erroneous determinations.
  • the second sensor includes first and second sub-sensors that measure the monitored person Ob, and the behavior determination unit measures the first sub-sensor of the first sub-sensor.
  • a first sub-action determining unit that executes a first sub-action determining process of determining a first action belonging to a first group among predetermined actions of the monitored person Ob based on a result; Second sub-action determination that executes a second sub-action determination process of determining a second action belonging to a second group different from the first group among predetermined actions of the monitored person Ob based on a two-sub measurement result And the processing control unit controls at least one of the first and second sub-action determining units according to the sleep determination result of the sleep state determining unit. According to this, it is possible to divide the predetermined action into the first action belonging to the first group which can not occur in the sleep state and the second action belonging to the second group which can occur in the sleep state.
  • Such an action detection device can control the action determination unit more appropriately according to the sleep determination result of the sleep state determination unit, and can further reduce erroneous determinations. The following more specifically describes.
  • the terminal device may be one type of device, but in the present embodiment, the terminal device is two types of devices, a fixed terminal device and a portable terminal device.
  • the main difference between the fixed terminal device and the mobile terminal device is that while the fixed terminal device is operated in a fixed manner, the mobile terminal device is operated by being carried by a supervisor (user) such as a nurse or a caregiver, for example.
  • a supervisor user
  • These fixed terminal devices and mobile terminal devices are substantially the same.
  • FIG. 1 is a diagram showing a configuration of a monitored person monitoring support system in the embodiment.
  • FIG. 2 is a diagram showing a configuration of a sensor device in which the behavior detection device of the embodiment is incorporated in the monitored person monitoring support system.
  • the monitored person monitoring support system MS includes one or more sensor devices SU (SU-1 to SU-4), a management server SV, and a fixed terminal.
  • a device SP, one or more portable terminal devices TA (TA-1 and TA-2), and a private branch exchange (PBX) CX are provided in a wired or wireless manner and in a LAN (Local Area Network).
  • Etc. communicably connected via a network (network, communication line) NW.
  • the network NW may be provided with relays such as repeaters, bridges and routers for relaying communication signals.
  • the network NW may be provided with relays such as repeaters, bridges and routers for relaying communication signals.
  • the plurality of sensor devices SU-1 to SU-4, the management server SV, the fixed terminal SP, the plurality of portable terminals TA-1 and TA-2, and the private branch exchange CX are L2 switches.
  • a wired / wireless mixed LAN for example, a LAN according to the IEEE 802.11 standard
  • NW including the line concentrators (hub, HUB) LS and the access point AP.
  • the plurality of sensor devices SU-1 to SU-4, the management server SV, the fixed terminal SP, and the private branch exchange CX are connected to the concentrator LS, and the plurality of mobile terminals TA-1 and TA-2 are connected.
  • the network NW constructs a so-called intranet by using an internet protocol group such as a transmission control protocol (TCP) and an internet protocol (IP).
  • TCP transmission control protocol
  • IP internet protocol
  • the private branch exchange (line switching unit) CX is connected to the network NW, controls extension telephones such as call origination, call reception, and call between the mobile terminal devices TA, and carries out extension telephone calls between the mobile terminal devices TA, For example, it is connected to an outside telephone TL such as a fixed telephone or a mobile telephone through a public telephone network PN such as a fixed telephone network or a mobile telephone network, for example, to make, receive, and make calls between the outside telephone TL and the mobile terminal device TA. , Etc. to control the outside line telephone to carry out the outside line telephone between the outside line telephone TL and the portable terminal device TA.
  • the private branch exchange CX is, for example, a digital exchange, an IP-PBX (Internet Protocol Private Branch eXchange), or the like.
  • the monitored person monitoring support system MS is disposed at an appropriate place according to the monitored person Ob.
  • the monitored person (watching target person) Ob is, for example, a person who needs nursing due to illness or injury, a person who needs care due to a decrease in physical ability or the like, or a single person living alone.
  • the person to be monitored Ob is a person who needs the detection when a predetermined adverse event such as an abnormal condition occurs in the person. preferable.
  • the person-to-be-monitored monitoring support system MS is suitably disposed in buildings such as hospitals, welfare facilities for the elderly and dwelling units according to the type of the person to be monitored Ob.
  • the monitored person monitoring support system MS is disposed in a building of a care facility provided with a plurality of living rooms RM in which a plurality of monitored persons Ob reside, and a plurality of rooms such as a nurse station. .
  • the sensor device SU has a communication function and the like for communicating with other devices SV, SP, and TA via the network NW, detects a predetermined event related to the monitored person Ob, and detects the detected event as the management server device SV. To the terminal apparatus SP and TA, and generates an image including a moving image and distributes the moving image to the terminal apparatus SP and TA.
  • the predetermined event preferably includes an event that requires a response.
  • the predetermined event includes a predetermined action set in the monitored person Ob and includes a nurse call.
  • Such a sensor device SU includes, for example, as shown in FIG.
  • a sensor unit 11 a sensor side sound input / output unit (SU sound input / output unit) 12, a nurse call reception operation unit 13, and a sensor side control process.
  • the sensor unit 11 is connected to the SU control processing unit 14, and is a device that measures predetermined amounts set in advance in the monitored person Ob under the control of the SU control processing unit 14.
  • the sensor unit 11 includes a first sensor to determine the sleep state of the monitored person Ob, and includes a second sensor to determine the predetermined action of the monitored person Ob.
  • the first sensor determines the sleep state of the monitored person Ob based on the respiratory state, any kind of device capable of measuring the respiration of the monitored person Ob as one of the predetermined amounts. It is good.
  • the first sensor may be, for example, a pulsimeter or the like attached to a wrist or the like to measure a pulse, but in the present embodiment, the Doppler sensor 112 can be It comprises and is constituted.
  • the second sensor includes a first sub-sensor to determine a first action belonging to a first group among the predetermined actions, and belongs to a second group different from the first group among the predetermined actions.
  • a second sub-sensor is provided to determine a second action.
  • the predetermined action is, for example, in the present embodiment, the entering of the monitored person Ob into the bedding BD, the rising of the monitored person Ob, the leaving of the monitored person Ob from the bedding BD, the monitored person
  • the fall includes the fall of Ob from the bedding BD, the fall of the monitored person Ob falling outside the bedding BD, and a micromotion abnormality that is an abnormality of micromotion due to the respiration of the monitored person.
  • these predetermined actions are divided into the 1st group which can not occur in a sleep state, and the 2nd group which can arise in a sleep state.
  • the first behavior belonging to the first group which can not occur in this sleep state includes admission, wake up, bed leaving, fall and fall, and the second behavior belonging to the second group which can occur in said sleep condition is slightly different. Physical movement abnormality is included.
  • the first sub-sensor may be any device capable of determining such a first action.
  • the first sub-sensor may be, for example, a thermographic apparatus capable of extracting a human region from a temperature distribution, or a distance image sensor capable of extracting a human region from a distance distribution, but in the present embodiment, the first sub-sensor is based on an image.
  • the camera 111 is configured to generate an image as one of the predetermined amounts.
  • the second sub sensor may be any device capable of determining such a second action.
  • the second action is a micromotion abnormality which is a micromotion abnormality due to the respiration of the person being monitored, a device capable of measuring the respiration of the person being monitored Ob as one of the predetermined amounts.
  • the Doppler sensor 112 is comprised. That is, in the present embodiment, the Doppler sensor 112 is shared by the first sensor and the second sub sensor.
  • the sensor unit 11 includes the camera 111 and the Doppler sensor 112.
  • the camera 111 is a device that is connected to the SU control processing unit 14 and generates an image (image data) under the control of the SU control processing unit 14.
  • the images include still images (still image data) and moving images (moving image data).
  • the camera 111 is arranged to be able to monitor the space where the person to be monitored Ob is planning to be located (location space; room RM in the arrangement location in the example shown in FIG. 1) An image (image data) obtained by imaging and looking over the imaging target is generated, and an image (target image) of the imaging target is output to the SU control processing unit 14.
  • the imaging unit 111 is scheduled to locate the head of the subject Ob in the bedding (for example, a bed or the like) BD in which the subject Ob is lying, since it is highly probable that the entire subject Ob can be imaged. It arrange
  • the sensor unit SU uses this camera 111 to obtain an image of the person to be monitored Ob, which is taken from above the person to be monitored Ob, preferably an image of the person to be monitored Ob, which is taken from directly above the planned head position.
  • Such a camera 111 may be a device that generates an image of visible light, but in the present embodiment, it is a digital infrared camera that generates an infrared image so as to be able to monitor the monitored person Ob even in a relatively dark state. is there.
  • a digital infrared camera 111 is, for example, in the present embodiment, an imaging optical system for forming an infrared optical image of an imaging object on a predetermined imaging surface, and matching the light receiving surface with the imaging surface. And an image sensor that converts an infrared optical image of the imaging target into an electrical signal, and an image that is data representing an infrared image of the imaging target by performing image processing on an output of the image sensor An image processing unit that generates data is configured.
  • the imaging optical system of the camera 111 is preferably a wide-angle optical system (a so-called wide-angle lens (including a fisheye lens)) having an angle of view capable of imaging the entire room RM provided.
  • the Doppler sensor 112 is connected to the SU control processing unit 14, and is a device that measures the movement of the body surface of the chest associated with breathing in the monitored person Ob according to the control of the SU control processing unit 14.
  • the Doppler sensor 112 is a body movement sensor that transmits a transmission wave, receives a reflection wave of the transmission wave reflected by an object, and outputs a Doppler signal of a Doppler frequency component based on the transmission wave and the reflection wave. .
  • the frequency of the reflected wave is shifted in proportion to the moving velocity of the object by the so-called Doppler effect, so the difference between the frequency of the transmission wave and the frequency of the reflected wave (Doppler frequency component) It occurs.
  • the Doppler sensor 112 generates a signal of this Doppler frequency component as a Doppler signal at a predetermined sampling rate, and outputs the signal to the SU control processing unit 14.
  • the SU control processing unit 14 receives a Doppler signal from the Doppler sensor 112
  • the SU control processing unit 14 stores the received Doppler signal in the SU storage unit 16 in time series.
  • the transmission wave may be an ultrasonic wave, a microwave or the like, but in the present embodiment, it is a microwave.
  • the microwave can be transmitted through the clothes and reflected by the body surface of the monitored person Ob, so that the movement of the body surface can be detected even if the monitored person Ob wears clothes, which is preferable.
  • the SU sound input / output unit 12 is a circuit connected to the SU control processing unit 14 for acquiring an external sound and inputting it to the sensor unit SU, and an electric signal representing the sound according to the control of the SU control processing unit 14 It is a circuit for generating and outputting a sound according to.
  • the SU sound input / output unit 12 is configured to include, for example, a microphone that converts acoustic vibration of sound into an electrical signal, and a speaker that converts electrical signal of sound into acoustic vibration of sound.
  • the SU sound input / output unit 12 outputs an electrical signal representing an external sound to the SU control processing unit 14, and converts the electrical signal input from the SU control processing unit 14 into acoustic vibration of sound and outputs the acoustic vibration.
  • the nurse call reception operation unit 13 is connected to the SU control processing unit 14 and is a switch circuit such as a push button type switch for inputting a nurse call to the sensor device SU.
  • the nurse call reception operation unit 13 may be connected to the SU control processing unit 14 by wire, or may be connected to the SU control processing unit 14 by short distance wireless communication such as Bluetooth (registered trademark) standard, for example.
  • the SU communication IF unit 15 is a communication circuit that is connected to the SU control processing unit 14 and performs communication according to the control of the SU control processing unit 14.
  • the SU communication IF unit 15 generates the communication signal containing the data to be transferred, which is input from the SU control processing unit 14, in accordance with the communication protocol used in the network NW of the person-to-be-monitored monitoring support system MS
  • the communication signal is transmitted to the other devices SV, SP, TA via the network NW.
  • the SU communication IF unit 15 receives communication signals from other devices SV, SP, and TA via the network NW, extracts data from the received communication signals, and the SU control processing unit 14 can process the extracted data.
  • the data is converted into data of the following format and output to the SU control processing unit 14.
  • the SU communication IF unit 15 includes, for example, a communication interface circuit conforming to the IEEE 802.11 standard or the like.
  • the SU storage unit 16 is a circuit which is connected to the SU control processing unit 14 and stores various predetermined programs and various predetermined data according to the control of the SU control processing unit 14.
  • the various predetermined programs include, for example, an SU control program that controls each of the units 11 to 13, 15, and 16 of the sensor device SU according to the function of each unit, and a monitored person based on the output of the sensor unit 11.
  • a sleep state determination program for determining the sleep state of Ob an action determination program for determining a predetermined action of the monitored person Ob based on the output of the sensor unit 11 and notifying the management server apparatus SV; Processing control program for controlling the behavior determination program according to the result of sleep determination, and when the nurse call acceptance operation unit 13 receives a nurse call, the management server SV is notified of that and the SU sound input / output unit 12 Nurse call processing program to make voice call with the terminal device SP, TA by using The video, terminal SP requested the video, which contains control program such as a streaming processing program broadcast streaming to TA.
  • each program such as a sensor device identifier (sensor ID) which is an identifier for identifying and identifying the sensor device SU of its own device, and a communication address of the management server device SV is executed. It contains the necessary data etc. above.
  • the SU storage unit 16 includes, for example, a ROM (Read Only Memory), which is a non-volatile memory element, and an Electrically Erasable Programmable Read Only Memory (EEPROM), which is a rewritable non-volatile memory element.
  • the SU storage unit 16 includes, for example, a random access memory (RAM) serving as a working memory of a so-called SU control processing unit 14 that stores data and the like generated during execution of the predetermined program.
  • RAM random access memory
  • the SU control processing unit 14 controls each unit of the sensor unit SU according to the function of each unit, detects a predetermined event related to the monitored person Ob, and notifies the management server apparatus SV of the detected event. , And a circuit for performing voice communication with the terminal devices SP and TA, and generating an image including a moving image to distribute the moving image to the terminal devices SP and TA.
  • the SU control processing unit 14 includes, for example, a central processing unit (CPU) and peripheral circuits thereof.
  • the SU control processing unit 14 executes the control processing program, whereby the sensor side control unit (SU control unit) 141, the sleep state determination unit 142, the action determination unit 143, the processing control unit 144, and the nurse call processing unit 145 And a streaming processing unit 146 functionally.
  • the SU control unit 141 controls the respective units 11 to 13, 15, and 16 of the sensor unit SU according to the functions of the respective units, and controls the entire control of the sensor unit SU.
  • the sleep state determination unit 142 determines the sleep state of the monitored person Ob based on the output of the sensor unit 11, that is, the first measurement result of the first sensor. More specifically, based on the first measurement result of the first sensor, the sleep state determination unit 142 indicates a sleep degree indicating the degree of depth of sleep of the person to be monitored Ob, and reliability with respect to the sleep degree. Find the degree of confidence that represents the degree of In the present embodiment, the sleep state determination unit 142 determines the sleep state based on the Doppler signal of the Doppler sensor 112 which is an example of the first sensor.
  • the sleep state determination unit 142 performs, for example, fast Fourier transform (FFT) on the Doppler signal measured within a predetermined time (for example, one minute or two minutes) from the measurement time point to the past. From the obtained spectrum, an average value of amplitudes in a frequency band corresponding to a general respiratory frequency is determined, and the determined average value is compared with a threshold for determining the sleep level (sleep level classification threshold) to obtain sleep. Find the degree. Then, the sleep state determination unit 142 obtains the duration of the obtained sleep degree, compares the duration of the obtained sleep degree with a threshold (reliability category threshold) for determining the reliability, and determines the reliability. Ask.
  • FFT fast Fourier transform
  • the sleep level classification threshold is appropriately set to one or more using, for example, a plurality of samples.
  • the behavior determination unit 143 is controlled as described later depending on whether it is an awake state or a sleep state, so that the sleep level classification threshold is one value for discriminating whether awake or sleep.
  • the sleep may be deep. It may be a value.
  • the reliability classification threshold is appropriately set to one or more using a plurality of samples, for example. In the present embodiment, the behavior determination unit 143 is controlled as described later depending on whether the reliability is relatively high or the reliability is relatively low.
  • the reliability classification threshold may be a single value for discriminating between high reliability and low reliability, or the reliability may be a high reliability with a relatively high reliability, or a relatively medium reliability. In order to divide into three stages of medium reliability and low reliability with relatively low reliability, all two values may be used.
  • the sleep state determination unit 142 outputs (notifies) the sleep degree and the reliability obtained as described above to the processing control unit 144 as a result of the sleep determination, in the present embodiment.
  • the action determination unit 143 determines a predetermined action set in the monitored person Ob based on the output of the sensor unit 11, that is, the second measurement result of the second sensor, and notifies the management server SV of the predetermined action.
  • the predetermined behavior is, as described above, entering, getting up, leaving, falling, falling, and movement abnormality. These entering, getting up, leaving, falling and falling are the first actions belonging to the first group, and are determined based on the output of the camera 111 (target image), and micro movement abnormality is to the second group. This is the second action to be included, and is detected based on the output (Doppler signal) of the Doppler sensor 112.
  • the action determination unit 143 functionally determines, based on the first sub-measurement result of the first sub-sensor, the first action belonging to the first group among the predetermined actions in the monitored person Ob.
  • a second sub-action determination unit 1432 that executes a second sub-action determination process of determining a second action belonging to.
  • the first sub-action determining unit 1431 determines the first action (entering, getting up, leaving, falling, falling) based on the target image of the camera 111, and manages the management server device.
  • the SV is notified, and the second sub-action determining unit 1432 determines the second action (microbody movement abnormality) based on the Doppler signal of the Doppler sensor 112 and notifies the management server SV.
  • entering, getting up, leaving, falling, falling and abnormal movement are determined as follows.
  • the area in which the bedding BD is arranged in the target image (the area where the bedding BD is located) is stored in advance in the storage unit 16 as one of the various data, and various threshold values and continuation determination time in the description below. Is appropriately set from a plurality of samples and stored in advance in the storage unit 16 as one of the various data.
  • the first sub-action determining unit 1431 uses the background difference method, for example, from the target image acquired from the camera 111 when the previous state variable (variable storing the action determination result) is If the person area extracted by the above completely overlaps with the area where the bedding BD is located (if the person area is completely within the area where the bedding BD is located), it is provisionally determined as being in bed and the duration of the complete superposition state When it continues beyond the admission continuation determination time, it is finally determined that there is an admission, and the admission is detected. Then, the first sub behavior determination unit 1431 updates the state variable with “in bed”.
  • the admission continuation determination time is a threshold value for ultimately determining that the bed, which is temporarily determined by completely overlapping the extracted person area and the location area of the bedding BD, is the bed.
  • the first sub-action determination unit 1431 determines that the previous state variable is “bed entry”, and the person area extracted from the target image acquired from the camera 111 this time protrudes from the area of the bedding BD. If the overrun area is equal to or greater than the wakeup determination threshold and less than the departure judgment threshold, it is temporarily determined to be up, and the duration of the overrun area in a state above the wakeup determination threshold and less than the departure judgment threshold continues to be up If it exceeds the determination time, it is finally determined that there is wakeup, and the wakeup is detected. Then, the first sub behavior determination unit 1431 updates the state variable with “wake up”.
  • the wakeup determination threshold is a threshold for determining whether or not to get up based on the size of the protrusion region, and the departure determination threshold is determined whether to leave the bed according to the size of the protrusion region
  • the departure determination threshold is set to a value larger than the wake-up determination threshold.
  • the wake-up continuation determination time is a threshold for determining that the wake-up temporarily determined by comparing the protrusion region and the wake-up determination threshold is finally a wake-up.
  • the first sub-action determining unit 1431 determines that the previous state variable is any one of “arriving” and “rising”, and the person area extracted from the target image acquired from the camera 111 this time
  • the overrun area which is out of the area of the bedding BD is equal to or more than the bed leaving determination threshold
  • the first sub behavior determination unit 1431 updates the state variable with “bedding off”.
  • the bed leaving continuation determination time is a threshold value for finally determining that bed leaving which has been tentatively determined by comparing the protruding area with the bed leaving determination threshold is bed leaving.
  • the first sub-action determination unit 1431 determines that the size of the head region of the human region extracted from the target image acquired from the camera 111 at this time is equal to or less than the lying posture determination threshold.
  • the change speed of the size is equal to or more than the fall judgment speed threshold and the person area is in the fall judgment area set around the area where the bedding BD is located, it is judged that there is a fall and the fall is determined.
  • the lying posture determination threshold is a threshold for determining whether or not the size of the head region in the lying posture is.
  • the fall determination speed threshold is a threshold for determining whether or not a fall is caused by the change speed of the size of the head region.
  • the first sub-action determination unit 1431 determines that the size of the head region of the person region extracted from the target image acquired from the camera 111 at this time is equal to or less than the lying posture determination threshold.
  • the change speed of the size is equal to or more than the fall determination speed threshold and the person area is in the area excluding the area where the bedding BD is located and the fall determination area, it is determined that there is a fall and the fall is detected.
  • the fall determination speed threshold value is a threshold value for determining whether or not it is a fall according to the change speed of the size of the head region.
  • the second sub behavior determination unit 1432 determines the micro movement abnormality based on the Doppler signal of the Doppler sensor 112 which is an example of the second sub sensor. More specifically, as in the sleep state determination unit 141, the second sub-action determination unit 1432 performs, for example, fast Fourier transform (FFT) on the Doppler signal measured within a predetermined time from the measurement time point to the past.
  • FFT fast Fourier transform
  • an average value of amplitudes in a frequency band corresponding to a general respiration frequency is determined, and the determined average value and a threshold for determining whether or not there is an abnormality in the body movement (
  • the body movement abnormality judgment threshold value is compared, and if the above-mentioned average value is equal to or less than the body movement abnormality judgment threshold value, the body movement abnormality judgment judgment is provisionally judged, and the above average value is the body movement abnormality judgment threshold value.
  • the second sub action determination unit 1432 updates the state variable with “microbody movement abnormality”.
  • the micro movement abnormality continuation determination time may finally determine that the micro movement abnormality temporarily determined by comparing the average value thus determined and the micro movement abnormality determination threshold is a micro movement abnormality. Is the threshold of
  • the action determination unit 143 receives event information (event information) representing the contents of a predetermined event (event) related to the monitored person Ob and notifies the event.
  • the SU communication IF unit 15 notifies the management server SV of the first event notification communication signal. More specifically, the action determination unit 143 is a communication that contains the target image used in the detection of the sensor ID of the own device, the event information indicating the content of the event, the entering, getting up, leaving, falling and falling.
  • a signal (first event notification communication signal) is transmitted to the management server SV via the SU communication IF unit 15.
  • the event information is one or more of entering, getting up, leaving, falling, falling, falling-body movement abnormality and nurse call (NC), and here, the action determination unit 143 detects
  • the first event notification communication signal is stored as the event information, one or more of the entering, getting up, leaving, falling, falling, and movement abnormality.
  • the image may be at least one of a still image and a moving image.
  • the still image is first notified, and the moving image is distributed according to the user's request.
  • a moving image may be distributed, or a still image and a moving image may be transmitted, and the still image and the moving image may be displayed on the terminal device SP, TA by screen division.
  • the process control unit 144 controls the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142.
  • the process control unit 144 controls at least one of the first and second sub behavior determination units 1431 and 1432 according to the sleep determination result of the sleep state determination unit 142. More specifically, in the present embodiment, the process control unit 144 performs the first sub-action determination process in the first sub-action determination unit 1431 according to the sleep determination result of the sleep state determination unit 142. It controls whether or not to execute the second sub action determination process in the second sub action determination unit 1432.
  • the process control unit 144 causes the first sub behavior determination unit 1431 to execute the process.
  • the first sub behavior determination process is not executed, and the second sub behavior determination unit 1432 is caused to execute the second sub behavior determination process.
  • the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high
  • the sleep degree is greater than or equal to a predetermined sleep determination threshold set in advance, or In this case, the degree of reliability is equal to or more than a predetermined reliability determination threshold value set in advance.
  • the process control unit 144 executes the first sub behavior determination process to the first sub behavior determination unit 1431.
  • the second sub-action determining unit 1432 does not execute the second sub-action determining process.
  • the sleep degree is less than a predetermined sleep determination threshold set in advance, and the reliability is set in advance. In this case, it is less than the predetermined confidence determination threshold.
  • the nurse call processing unit 145 When the nurse call reception operation unit 13 receives a nurse call, the nurse call processing unit 145 notifies the management server apparatus SV of a first event notification communication signal that accommodates this as another example of the predetermined event.
  • voice communication is performed with the terminal devices SP and TA. More specifically, when the nurse call reception operation unit 13 is operated for input, the nurse call processing unit 145 performs SU communication of the first event notification communication signal containing the nurse call as the sensor ID of the own device and the event information. It transmits to the management server apparatus SV via the IF unit 15. Then, the nurse call processing unit 145 uses the SU sound input / output unit 12 or the like to make a voice call, for example, by using Voice over Internet Protocol (VoIP) with the terminal devices SP and TA.
  • VoIP Voice over Internet Protocol
  • the SU streaming processing unit 146 sends the requested fixed terminal apparatus SP or the portable terminal apparatus TA , And distributes a moving image (for example, a live moving image) generated by the camera 11 through the SU communication IF unit 15 by streaming reproduction.
  • a moving image for example, a live moving image
  • FIG. 1 Four first to fourth sensor devices SU-1 to SU-4 provided corresponding to the monitored person Ob are shown in FIG. 1 as an example, and the first sensor device SU-1 is shown. Is disposed in the room RM-1 (not shown) of Mr. A's Ob-1 who is one of the monitored persons Ob, and the second sensor device SU-2 is Mr. B's Ob- who is one of the monitored persons Ob.
  • the third sensor device SU-3 is disposed in a living room RM-2 (not shown) of 2 and is disposed in a living room RM-3 (not shown) of Mr. C's Ob-3 who is one of the monitored persons Ob.
  • the fourth sensor device SU-4 is disposed in a living room RM-4 (not shown) of Mr. D's Ob-4 who is one of the monitored persons Ob.
  • the sensor unit 11 the sleep state determination unit 142, the behavior determination unit 143, and the process control unit 144 constitute an example of the behavior detection device.
  • the management server SV has a communication function of communicating with the other devices SU, TA, and SP via the network NW, and receives the notification of the predetermined event from the sensor device SU by the first event notification communication signal.
  • the data is provided to the client according to the request of the terminal device (SP, TA, etc.) to manage the entire monitored person monitoring support system MS.
  • the monitoring information includes, for example, a sensor ID of the sensor device SU that is a transmission source of the first event notification communication signal, the predetermined event (a type of predetermined action detected by the sensor device SU, and a sensor device
  • the image includes the nurse call accepted by SU, the image of the monitored person Ob, and the time (notification time) when the notification is received, and these are stored (recorded, managed) in association with one another.
  • the monitoring information is accommodated in the second event notification communication signal.
  • the second event notification communication signal may be transmitted, for example, by broadcast communication (broadcast or multicast), or, for example, one or more associated with the sensor device SU that is the transmission source of the first event notification communication signal. May be sent to the terminal device SP, TA.
  • Such a management server SV can be configured, for example, by a computer with a communication function.
  • the fixed terminal device SP includes a communication function of communicating with other devices SU, SV, and TA via the network NW, a display function of displaying predetermined information, and an input function of inputting predetermined instructions and data. Monitored by, for example, inputting predetermined instructions and data given to the management server SV and the portable terminal TA, displaying the monitoring information obtained by the sensor SU by notification from the management server SV, etc.
  • the device functions as a user interface (UI) of the person monitoring support system MS.
  • UI user interface
  • Such fixed terminal apparatus SP can be configured, for example, by a computer with a communication function.
  • the portable terminal device TA has a communication function of communicating with other devices SV, SP, SU via the network NW, a display function of displaying predetermined information, an input function of inputting predetermined instructions and data, and a voice call.
  • a call function to be performed is provided, and predetermined instructions and data given to the management server device SV and the sensor device SU are input, or the monitoring information obtained by the sensor device SU is displayed by notification from the management server device SV, It is a device for answering or calling a nurse call by voice communication with the sensor unit SU.
  • Such a portable terminal device TA can be configured by, for example, a portable communication terminal device such as a so-called tablet computer, a smartphone, or a mobile phone.
  • FIG. 3 is a flow chart showing the operation of the sensor device in the service mode.
  • FIG. 4 is a flowchart showing an operation of the sensor device in the action determination process according to the sleep determination result shown in FIG.
  • FIG. 5 is a flowchart showing an operation of the sensor device in the fall determination process shown in FIG.
  • FIG. 6 is a flowchart showing the operation of the sensor device in the fall determination process shown in FIG.
  • FIG. 7 is a flow chart showing the operation of the sensor device in the entrance determination process shown in FIG.
  • FIG. 8 is a flowchart showing an operation of the sensor device in the wakeup determination process shown in FIG.
  • FIG. 9 is a flowchart showing the operation of the sensor device in the bed leaving determination process shown in FIG. 4.
  • FIG. 4 is a flowchart showing an operation of the sensor device in the action determination process according to the sleep determination result shown in FIG.
  • FIG. 5 is a flowchart showing an operation of the sensor device in the fall determination process shown in FIG.
  • FIG. 10 is a flowchart showing the operation of the sensor device in the micro movement abnormality determination process shown in FIG. 4.
  • FIG. 11 is a diagram showing an example of a main screen displayed on the terminal device.
  • FIG. 12 is a diagram showing an example of a first setting screen displayed on the terminal device.
  • FIG. 13 is a diagram showing an example of a second setting screen displayed on the terminal device.
  • FIG. 14 is a diagram showing an example of a monitoring information screen displayed on the terminal device.
  • the SU control processing unit 14 includes an SU control unit 141, a sleep state determination unit 142, an action determination unit 143, a process control unit 144, a nurse call processing unit 145, and a streaming process.
  • the unit 146 is functionally configured, and in the behavior determination unit 143, the first sub behavior determination unit 1431 and the second sub behavior determination unit 1432 are functionally configured.
  • the terminal device SP When the power is turned on and the operation is started, the terminal device SP, TA, for example, the fixed terminal device SP accepts a log-in operation by a supervisor (user) such as a nurse or a caregiver. In the login operation, an ID or the like of a user name or the like of the monitor (user) is input and stored in the storage unit. When the fixed terminal device SP logs in to the monitored person monitoring support system MS by the login operation, the fixed terminal device SP displays a main screen on the display unit.
  • a supervisor such as a nurse or a caregiver
  • an ID or the like of a user name or the like of the monitor (user) is input and stored in the storage unit.
  • the fixed terminal device SP logs in to the monitored person monitoring support system MS by the login operation, the fixed terminal device SP displays a main screen on the display unit.
  • the main screen is a screen for receiving the operation mode of the fixed terminal device SP.
  • the main screen 21 includes a “service mode” button 211 and a “setting mode” button 212.
  • the “service mode” button 211 is a button for requesting a service mode for monitoring the monitored person Ob as the operation mode of the fixed terminal device SP, and an instruction to operate the fixed terminal device SP in the service mode (instruction, command ) Is a button for inputting.
  • the “setting mode” button 212 is a button for requesting a setting mode for setting a predetermined parameter defined in advance as an operation mode of the fixed terminal apparatus SP, and instructs the fixed terminal apparatus SP to operate in the setting mode. It is a button for inputting.
  • the fixed terminal device SP When displaying the main screen 21 as described above, when receiving an input operation from the input unit of the fixed terminal device SP, the fixed terminal device SP receives the input operation received by the control processing unit as “service mode It is determined whether it is an input operation of the “” button 211 or an input operation of the “setting mode” button 212.
  • the fixed terminal device SP starts operation in the service mode so as to monitor the monitored person Ob.
  • the input operation is, for example, an operation in which the cursor is moved onto the “service mode” button 211 by the movement of the mouse and the mouse is left-clicked.
  • the fixed terminal device SP starts operation in the setting mode so as to set the predetermined parameter. .
  • the fixed terminal device SP displays a setting screen on the display unit.
  • authentication is performed using an ID such as a user name, and only the authorized user (the setter) can enter the setting mode.
  • the setting screen is a screen for inputting and setting the predetermined parameter.
  • the predetermined parameter is a setting value used to appropriately determine the predetermined event, and for example, an imaging condition for extracting a monitored person Ob from an image, and the determination Threshold (determination threshold) or the like.
  • the predetermined parameters are a frame rate, a brightness level, a ceiling height, and an area where the bedding BD is located.
  • the setting screen comprises two first and second setting screens in the present embodiment.
  • the first setting screen inputs (determines) a person to be monitored Ob (sensor device SU) to be a target of parameter setting, and mainly the numerical parameters (the frame rate in the present embodiment) among the predetermined parameters. , Brightness level and ceiling height) are input and set.
  • the second setting screen is a screen for inputting and setting other parameters (in the present embodiment, the location area of the bedding BD) other than numerical parameters among the predetermined parameters.
  • the fixed terminal device SP causes the control processing unit to display the first setting screen on the display unit 4.
  • this first setting screen 22 is for inputting and setting a frame rate and a monitor person's name input setting area 221 for inputting and setting the name of the monitoree Ob.
  • Frame rate input setting area 222 a brightness level input setting area 223 for inputting and setting a brightness level
  • a ceiling height input setting area 224 for inputting and setting a ceiling height
  • An area setting button 225 and a "return to main screen” button 226 are provided.
  • Each of the input setting areas 221 to 224 includes an input field for parameter values, and an “update” button for storing and setting parameters based on the parameter values input to the input fields.
  • the “area setting” button 225 is a button for requesting the second setting screen, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the second setting screen.
  • the “return to main screen” button 226 is a button for requesting the main screen 21, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the main screen 21.
  • the “return to main screen” button 226 is also a button for setting each parameter value stored as a parameter in the storage unit to the sensor unit SU via the management server unit SV.
  • setting the frame rate defines the execution interval of the event detection operation.
  • the control processing unit of the fixed terminal device SP sets the brightness level to “5”, and is stored in the storage unit of the fixed terminal device SP. Ru. If the target image captured by the sensor unit SU is too dark or too bright, it becomes difficult to extract the person area of the person to be monitored Ob from the target image, and it becomes difficult to identify a person. By setting the brightness level, a target image can be generated with a proper exposure, the person area can be extracted more appropriately, and the person can be more appropriately identified.
  • the control processing unit of the fixed terminal device SP sets the ceiling height to “2.4 m”, and the storage unit of the fixed terminal device SP is It is memorized.
  • the sensor unit SU is disposed on a ceiling with a standard ceiling height (for example, 2.4 m or the like)
  • the recumbent posture determination threshold value or the like in the case where the sensor unit SU is disposed is stored in advance in the sensor unit SU as a default value.
  • the recumbent posture determination threshold of the default value is corrected, and the corrected recumbent posture determination threshold is used for the detection of the predetermined action described above.
  • the lying posture determination threshold can be adjusted in accordance with the situation of the sensor device SU actually installed.
  • the fixed terminal device SP displays the second setting screen on its display unit.
  • the second setting screen 23 includes, for example, a target image display area 231 for displaying a target image, an “update” button 232, and a “return” button 233, as shown in FIG.
  • the target image display area 231 the camera 111 of the sensor device SU for monitoring the monitored person Ob having the name of the monitored person Ob inputted in the monitored person name input setting area 221 of the first setting screen 22.
  • the generated target image is displayed.
  • the “update” button 232 is a button for requesting setting of parameters in the area input from the input unit while referring to the target image displayed in the target image display area 231.
  • the “return” button 233 is a button for requesting the first setting screen 22, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the first setting screen 22.
  • the fixed terminal device SP waits for the input of the location area of the bedding BD.
  • the control processing unit of the fixed terminal SP determines The pixel position is input, stored in the storage unit, and the location area of the bedding BD is set.
  • FIG. 13 illustrates how the user inputs the four vertices of the area where the bedding BD is located.
  • the fixed terminal device SP manages each parameter value stored as a parameter in its storage unit as a management server device
  • the sensor unit SU transmits the parameter values to the sensor unit SU via the SV, and stores and sets the received parameter values in the SU storage unit 16 of the own unit SU. As a result, each value of the predetermined parameter is set in the sensor unit SU.
  • the fixed terminal device SP when the input operation of the “service mode” button 211 is received on the main screen 21 described above, the fixed terminal device SP operates in the service mode, and the monitored person monitoring support system MS operates as follows. Monitors the monitored person Ob.
  • the sensor device SU detects a predetermined operation in the monitored person Ob by operating as follows for each frame or every few frames, and a nurse call is performed. The presence or absence of acceptance of is determined.
  • the sensor unit SU causes the sleep state determination unit 142 of the SU control processing unit 14 to execute a sleep state determination process on the monitored person Ob based on the Doppler signal of the Doppler sensor 112 in the sensor unit 11 (S1 ). More specifically, the sleep state determination unit 142 acquires, from the SU storage unit 16, a Doppler signal measured within a predetermined time, for example, within one minute, from the present time to the past. Subsequently, the sleep state determination unit 142 performs, for example, a fast Fourier transform (FFT) on the acquired one-minute Doppler signal.
  • FFT fast Fourier transform
  • the sleep state determination unit 142 obtains an average value of amplitudes in a frequency band corresponding to a general respiration frequency from the spectrum obtained by the FFT. Subsequently, the sleep state determination unit 142 compares the obtained average value with the sleep level division threshold to obtain the sleep degree, and stores the obtained sleep degree in the SU storage unit 16 in time series. Subsequently, the sleep state determination unit 142 obtains the duration of the obtained sleep degree by referring to the SU storage unit 16. Subsequently, the sleep state determination unit 142 compares the duration of the obtained sleep degree with the reliability class threshold to obtain the reliability.
  • the sleep level classification threshold is one value that discriminates between awakening and sleep
  • the reliability classification threshold is one value that discriminates between high reliability and low reliability.
  • the sensor device SU is based on the target image of the camera 111 in the sensor unit 11 according to the sleep determination result determined by the sleep state determination unit 142 in the process S1 by the action determination unit 143 of the SU control processing unit 14
  • An action determination process for the monitored person Ob is executed (S2). More specifically, in the present embodiment, the process control unit 144 performs the first sub-action determination process in the first sub-action determination unit 1431 of the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142. It controls whether or not to execute the second sub-action determination process in the second sub-action determination unit 1432 of the action determination unit 143.
  • the process control unit 144 determines the first sub-action determination unit 1431.
  • the second sub-action determination process in the second sub-action determination unit 1432 is not performed. That is, the processes S21 to S27 for determining the first action (in the present embodiment, entering, getting up, leaving, falling and falling in this embodiment) by the first sub-action determining unit 1431 are not executed, and the second sub Only the process S28 for determining the below-mentioned 2nd action (this embodiment micro body movement abnormality) by the action determination part 1432 is performed.
  • the process control unit 144 executes the first sub behavior determination process in the first sub behavior determination unit 1431. And, the second sub action determination process in the second sub action determination unit 1432 is not executed. That is, the processes S21 to S27 for determining the first action described later by the first sub-action determining unit 1431 are executed, and the process S28 for determining the second action described below by the second sub-action determining unit 1432 Will not be executed.
  • the process control unit 144 compares each of the sleep degree and the reliability degree determined by the sleep state determination unit 142 in the process S1 with each of the sleep determination threshold value and the reliability degree determination threshold value. As a result of the comparison, if the sleep degree is equal to or higher than the sleep determination threshold, or if the reliability is equal to or higher than the confidence determination threshold, the processing control unit 144 causes the first sub behavior determination unit 1431 to Only the process S28 for determining the second action is executed by the second sub-action determining unit 1432 without executing the processes S21 to S27 for determining the first action.
  • the processing control unit 144 determines that the first sub behavior determination unit 1431 is performed. In addition, the process S21 to the process S27 for determining the first action are performed, and the second sub action determining unit 1432 is not performed only the process S28 for determining the second action.
  • the sensor device SU causes the behavior determination unit 143 of the SU control processing unit 14 to acquire an image of one frame as a target image from the camera 111 of the sensor unit 11.
  • the sensor device SU causes the first sub behavior determination unit 1431 of the behavior determination unit 143 to extract a human region from the target image acquired in process S21, for example, by the background subtraction method.
  • the first sub action determination unit 1431 may extract a moving subject region as a human region from the target image acquired in the processing S21, for example, by the frame difference method.
  • the sensor device SU causes the first sub-action determining unit 1431 to execute the fall determination process based on the extracted person area.
  • the first sub behavior determination unit 1431 determines whether or not the fall determination condition is satisfied based on the person area extracted in the process S22 (see FIG. 5) S231). More specifically, the first sub-action determining unit 142 determines that the size of the head area of the human area extracted from the target image in step S22 is equal to or less than the lying posture determination threshold, and the size of the head area is If the change speed is equal to or higher than the fall judgment speed threshold and the person area is in the fall judgment area set around the area of the bedding BD, it is judged that there is a fall (Yes), and then The processing S232 is executed, and in the other cases, it is determined that there is no fall (No), and the present fall determination processing is ended.
  • the extraction of the head region is performed by, for example, circular or elliptical Hough transform from the person region, for example, pattern matching using a prepared head model (template), for example, head extraction It is extracted by the neural network learned for the purpose.
  • the first sub-action determining unit 1431 determines fall occurrence and indicates fall presence information indicating presence of fall (for example, a fall flag indicating presence or absence of fall is changed from “0” to “1”) This is stored in the SU storage unit 16 and the present fall determination processing is ended.
  • the sensor device SU causes the first sub-action determining unit 1431 to execute the fall determination processing based on the extracted person area.
  • the first sub-action determination unit 1431 determines whether or not the fall determination condition is satisfied based on the person area extracted in the process S22 (FIG. 6) S241). More specifically, the first sub-action determining unit 142 determines that the size of the head area of the human area extracted from the target image in step S22 is equal to or less than the lying posture determination threshold, and the size of the head area is If the change speed is equal to or higher than the fall determination speed threshold and the person area is in the area excluding the area where the bedding BD is located and the fall determination area, it is determined that there is a fall (Yes).
  • the first sub-action determining unit 1431 determines the occurrence of a fall and indicates fall presence information (for example, the fall flag indicating the presence or absence of a fall is changed from "0" to "1") indicating the presence of a fall. It memorizes in SU memory section 16, ends this falling decision processing.
  • the sensor device SU causes the first sub-action determining unit 1431 to perform the entrance determination processing based on the extracted person area.
  • the first sub-action determination unit 1431 determines whether or not the state variable (previous state variable) is (S251). As a result of the determination, if the state variable is not “bedding off” (No), the first sub-action determining unit 1431 ends the main entrance determination process. On the other hand, as a result of the determination, if the state variable is “bedding off” (Yes), the first sub-action determining unit 1431 next executes processing S252. In the process S252, the first sub-action determining unit 1431 determines whether or not the determination condition of admission is satisfied based on the person area extracted in the process S22.
  • the first sub-action determining unit 1431 detects the case in which the person area extracted from the target image in step S22 completely overlaps the area where the bedding BD is located (the person area is completely located in the bedding BD) (If it becomes inside), provisionally determine that it is in the bed, and if the duration of the complete superposition state continues beyond the in-bed continuation determination time, finally determine that there is an in-bed (Yes), next Then, the process S253 is executed, and in the case other than this, it is determined that there is no bed entry (No), and the main entry and floor determination process is ended.
  • the first sub-action determining unit 1431 determines the occurrence of the entrance and the presence information indicating the presence of the entrance (for example, the entrance flag indicating the presence or absence of the entrance changes from "0" to "1"). Is stored in the SU storage unit 16). Subsequently, the first sub-action determining unit 1431 updates the state variable with “in bed” (state variable ⁇ “ in bed ”) (S254), and ends the main entrance determination process.
  • the sensor device SU causes the first sub-action determining unit 1431 to execute wakeup determination processing based on the extracted person area.
  • the first sub behavior determination unit 1431 determines whether the state variable (previous state variable) is (S261). As a result of this determination, when the state variable is not “bed entry” (No), the first sub behavior determination unit 1431 ends the wakeup determination process. On the other hand, as a result of the determination, if the state variable is “in bed” (Yes), the first sub behavior determination unit 1431 next executes a process S262. In the process S262, the first sub-action determining unit 1431 determines whether or not the wake-up determination condition is satisfied based on the person area extracted in the process S22.
  • the first sub-action determining unit 1431 detects that the person area extracted from the target image in the process S22 this time is larger than the wakeup determination threshold and is less than the bedfall determination threshold. In this case, it is provisionally determined that the vehicle has risen, and if the duration of the overhang region in the state which is equal to or higher than the wakeup determination threshold and less than the departure judgment threshold exceeds the wakeup continuation determination time, it is finally determined that wakeup is present. Then (Yes), next, the process S263 is executed, and in the other cases except this, it is determined that there is no wakeup (No), and this wakeup determination process is ended.
  • the first sub-action determining unit 1431 determines wakeup occurrence and indicates wakeup presence information indicating wakeup presence (for example, the wakeup flag indicating presence or absence of wakeup is changed from “0" to "1"). It is stored in the SU storage unit 16. Subsequently, the first sub-action determining unit 1431 updates the state variable with “wake up” (state variable ⁇ “ wake up ”) (S 264), and ends the overturn determination process.
  • the sensor device SU causes the first sub-action determining unit 1431 to execute bed departure determination processing based on the extracted person area.
  • the first sub-action determining unit 1431 first determines whether the state variable (previous state variable) is (S271). As a result of this determination, when the state variable is neither “bed entry” nor “wake up” (No), the first sub behavior determination unit 1431 ends the bed departure determination process. On the other hand, as a result of the determination, if the state variable is any one of “arriving” and “rising” (Yes), the first sub-action determining unit 1431 next executes processing S272. In the process S272, the first sub-action determining unit 1431 determines whether or not the determination condition for bed departure is satisfied based on the person area extracted in the process S22.
  • the first sub-action determining unit 1431 determines that the floor area is temporary when the overrun area in which the person area extracted from the target image in the process S22 is currently out of the area of the bedding BD If the duration of the overhang region in the state of being equal to or greater than the departure judgment threshold exceeds the stay continuation judgment time, it is finally determined that there is bed departure (Yes), and then processing S273 is executed, In the case other than this, it is determined that there is no bed leaving (No), and the bed leaving determination process is ended.
  • the first sub-action determining unit 1431 determines the occurrence of bed leaving and has bed leaving presence information (for example, the bed leaving flag indicating presence or absence of bed leaving is changed from "0" to "1") indicating presence of bed leaving. It is stored in the SU storage unit 16. Subsequently, the first sub-action determining unit 1431 updates the state variable with “bedding off” (state variable ⁇ “ being off ”) (S 274), and the present fall determining process is ended.
  • the sensor device SU causes the micro movement abnormality based on the Doppler signal of the Doppler sensor 112 in the sensor unit 11 by the second sub-action determining unit 1432 of the action determining unit 143 Execute determination processing.
  • the second sub behavior determination unit 1432 determines whether the micro movement abnormality determination condition is satisfied based on the Doppler signal of the Doppler sensor 112. It is determined (S281). More specifically, the second sub-action determination unit 142 first acquires a Doppler signal measured within a predetermined time period, for example, within one minute, from the current time to the past from the SU storage unit 16. Subsequently, the sleep state determination unit 142 performs, for example, a fast Fourier transform (FFT) on the acquired one-minute Doppler signal.
  • FFT fast Fourier transform
  • the second sub-action determining unit 142 obtains an average value of amplitudes in a frequency band corresponding to a general respiration frequency from the spectrum obtained by the FFT. Subsequently, the second sub-action determining unit 142 compares the calculated average value with the micro movement abnormality determination threshold, and if the calculated average value is equal to or less than the micro movement abnormality determination threshold, the micro body If the continuance time of the state where the average value is less than or equal to the micro movement abnormality judgment threshold is tentatively determined as the movement abnormality and continues beyond the micro movement abnormality continuation judgment time, the micro movement abnormality presence and the final state Then, the process S 282 is executed, and in the other cases, it is determined that there is no micro movement abnormality (No), and the micro movement abnormality determination process is ended.
  • the second sub-action determining unit 1432 determines the occurrence of micro movement abnormality and information on micro movement abnormality presence information indicating presence of micro movement abnormality (for example, micro movement abnormality indicating presence or absence of micro movement abnormality) The flag is changed from “0” to “1”) and stored in the SU storage unit 16, and the micro movement abnormality determination process is ended.
  • the sensor unit SU determines, by the SU control processing unit 14, whether or not notification of a predetermined event is necessary (S3). More specifically, the sensor device SU causes the behavior determination unit 143 of the SU control processing unit 14 to determine, in the SU storage unit 16, a result of determining a predetermined behavior such as the fall presence information or the fall presence information. If it is determined whether or not stored, and the result of determining the predetermined action is stored in the SU storage unit 16, the action determination unit 143 determines that the notification is necessary (Yes), and then After the process S4 is performed, the current process is ended, and when the result of determining the predetermined action is not stored in the SU storage unit 16, the action determination unit 143 determines that the notification is unnecessary. It judges (No) and ends this processing this time.
  • the sensor device SU accommodates the predetermined action determined as the event information in order to notify the predetermined terminal device SP and TA of the determined predetermined action by the action determination unit 143.
  • the first event notification communication signal according to the detection of the predetermined action is transmitted to the management server SV.
  • the behavior determination unit 143 uses the sensor ID of the own machine, “wakeup” as event information, and the wakeup determination.
  • the first event notification communication signal containing the selected target image is transmitted to the management server SV via the SU communication IF unit 15.
  • the sensor device SU determines whether the nurse call processing unit 145 of the SU control processing unit 14 receives a nurse call or not.
  • the sensor device SU accommodates the accepted nurse call as the event information in order to notify acceptance of the nurse call to predetermined terminal devices SP and TA.
  • the first event notification communication signal is transmitted to the management server apparatus SV.
  • each sensor ID, event information, and other information contained in the first event notification communication signal is the sensor ID.
  • the fixed terminal apparatus SP and the portable terminal apparatus TA receive the second event notification communication signal from the management server apparatus SV via the network NW, the sensor ID, the event information, etc. contained in the second event notification communication signal Each piece of information is stored (recorded) as monitoring information of the monitored person Ob monitored by the sensor device SU having the sensor ID, and the monitoring information is displayed.
  • the terminal device SP, TA for example, the fixed terminal device SP is shown in FIG. 14A.
  • the monitoring information screen 31a When the monitoring information screen 31a is displayed, and the sensor device SU detects a predetermined event and the predetermined event detected by the second event notification communication signal is notified, the fixed terminal apparatus SP performs monitoring as shown in FIG. 14B.
  • An information screen 31 b is displayed.
  • the monitoring information screen 31a illustrated in FIG. 14A includes a monitoring image display area 311 that displays an image captured by the sensor device SU.
  • the monitoring information screen 31b shown in FIG. 14B further includes an event display area 312 for displaying the type of the event detected by the sensor device SU.
  • the event display area 312 which superimposed on the monitoring image display area 311 and displayed the message of "bed release detection" is shown in figure.
  • the action determination unit 143 determines an action that can not occur in such a sleep state, It is highly probable that it is a false decision. Since the person-to-be-monitored monitoring support system MS in the present embodiment and the behavior detection device and the behavior detection method incorporated in the sensor device SU control the behavior determination unit 143 according to the sleep determination result of the sleep state determination unit 142 False positives can be reduced.
  • the above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection device, and the above-mentioned action detection method are the first actions belonging to the first group which can not occur in the sleep state (in this embodiment, entering and getting up) , Bed break, fall and fall) and the second action belonging to the second group that can occur in the sleep state (microbody movement abnormality in this embodiment), the sleep determination of the sleep state determination unit 142
  • the action determination unit 143 can be more appropriately controlled according to the result, and erroneous determination can be further reduced.
  • the above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection apparatus, and the above-mentioned action detection method may execute only the sub-action determination processing which determines the action which can not occur in the sleep state By controlling the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142 so as to execute only the sub-action determination process that determines the action, it is possible to further reduce the erroneous determination.
  • the process control unit 144 when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 causes the first sub behavior determination unit 1431 to The first sub behavior determination process is not executed, and the second sub behavior determination unit 1432 is executed to execute the second sub behavior determination process, and the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are When it is low, the first sub-action judging unit 1431 is caused to execute the first sub-action judging process, and then the second sub-action judging unit 1432 is caused to execute the second sub-action judging process. As described above, the process control unit 144 may control the behavior determination unit 143 according to the sleep determination result of the sleep state determination unit 142.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep level and the reliability regardless of whether the first sub behavior determination process is performed in the first sub behavior determination unit 1431.
  • the second sub behavior determination unit 1432 is set as a control target, and the second sub behavior determination unit 1432 causes the second sub behavior determination process to be executed.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 indicates that both the sleep level and the reliability are low.
  • the control target is only the second sub behavior determination unit 1432 and does not cause the second sub behavior determination unit 1432 to execute the second sub behavior determination process.
  • the process control unit 144 determines whether or not to execute the process S28 without controlling whether or not each process of the process S21 to the process S27 described above with reference to FIG. 4 is performed. It controls according to the sleep determination result of the part 142.
  • the behavior determination unit 143 is controlled to determine only the behavior that may occur in the sleep state, and the monitored person monitoring support system MS, the behavior detection apparatus, and the behavior detection method can further reduce erroneous determinations.
  • the first and second sub-action determination processes are respectively executed, by controlling the output of the result, an effect equivalent to the effect obtained by the control of the execution can be obtained. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability degree is high, the process control unit 144 causes the first sub-action determination unit 1431 to execute the process.
  • the first sub-action determination unit does not output the first sub-action determination result, and causes the second sub-action determination unit to output the second sub-action determination result.
  • the process control unit 144 determines the first sub-action even if the first sub-action determining unit 1431 determines the predetermined action.
  • the determination unit 1431 does not store the result of the determination of the predetermined action, such as the fall presence information and the fall presence information, in the SU storage unit 16.
  • the second sub-action determining unit 1432 determines, for example, the SU memory 16 as a result of determining the predetermined action of the information on fine motion abnormality Remember.
  • the process control unit 144 causes the first sub behavior determination unit 1431 to output the first sub behavior determination result. Then, the second sub behavior determination unit 1432 does not output the second sub behavior determination result.
  • the process control unit 144 determines the first sub-action when the first sub-action determining unit 1431 determines the predetermined action.
  • the unit 1431 causes the SU storage unit 16 to store the result of the determination of the predetermined action, such as the fall / fall information or the fall / presence information, for example, and the second sub in step S28 described above with reference to FIG. Even if the action determination unit 1432 determines the predetermined action, the second sub action determination unit 1432 does not store the result of the determination of the predetermined action of the micro movement abnormality presence information, for example, in the SU storage unit 16 .
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep level regardless of the presence or absence of the output of the first sub behavior determination result of the first sub behavior determination unit 1431.
  • the second sub behavior determination unit 1432 causes the second sub behavior determination result to be output.
  • the process control unit 144 sets only the second sub behavior determination unit 1432 as a control target, and the second sub behavior determination unit 1432 Do not output the second sub-action determination result in In one example, the process control unit 144 does not control whether or not to output the first sub-action determination result in each process of the above-described processes S21 to S27 described with reference to FIG. It is controlled according to the sleep determination result of the sleep state determination unit 142 whether or not the sub behavior determination result is output.
  • the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method output, for example, only the sub-action determination result of the sub-action determination process that determines an action that can not occur in the sleep state.
  • the behavior determination unit 143 is output according to the sleep determination result of the sleep state determination unit 142 so as to output only the sub-action determination result of the sub-action determination process that determines the behavior that may occur in the sleep state.
  • the processing control unit 144 causes the first sub-action determination result in the first sub-action determining unit 1431 to be the second sub-action in the second sub-action determining unit 1432 according to the sleep determination result of the sleep state determining unit 142. Control whether or not to assist with the action determination result.
  • the processing control unit 144 causes the process control unit 144 in the first sub behavior determination unit 1431 to
  • the first sub-behavior determination result is assisted by the second sub-behavior determination result in the second sub-behavior determination unit 1432 and the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are low
  • the first sub behavior determination result in the first sub behavior determination unit 1431 is not assisted by the second sub behavior determination result in the second sub behavior determination unit 1432.
  • the processing control unit 144 determines that the first sub-action in the first sub-action determination unit 1431 is performed.
  • the determination result is rewritten to the second sub behavior determination result in the second sub behavior determination unit 1432. That is, regardless of the first sub-action determination result, only the second sub-action determination result is valid.
  • the processing control unit 144 determines the first sub behavior determination result of the first sub behavior determination unit 1431.
  • the second sub behavior determination result in the second sub behavior determination unit 1432 is additionally written. That is, the second sub-action determination result is attached to the first sub-action determination result, and the first event notification communication signal accommodates the determined first action and second action as the event information.
  • the monitored person monitoring support system MS, the behavior detecting device, and the behavior detecting method are, for example, a sub-behavior of the sub-behavior determination processing that determines the behavior that can not occur in the sleeping state Since it is possible to assist the determination result with the sub-action determination result of the sub-action determination process of determining the action that may occur in the sleep state, erroneous determination can be further reduced.
  • the first sub-action determination process compares a first sub-measurement result of the first sub-sensor with a preset first action determination threshold associated with the first action.
  • the process control unit 144 executes, as the control, the first sub-action determination unit 1431 according to the sleep determination result of the sleep state determination unit 142.
  • the first behavior determination threshold value in the first sub behavior determination process is changed. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high as the control, the process control unit 144 sets the sleep state determination unit 142 to The first behavior determination threshold is changed to a value that is less likely to be determined as the first behavior as compared with the case where the sleep determination result and the degree of sleep and the degree of reliability are both low.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability.
  • the first action determination threshold is changed to a value that is more easily determined to be the first action than when any one of the degrees is high.
  • the wakeup determination threshold, the bed departure determination threshold, the lying posture determination threshold, the fall determination speed threshold, and the fall determination speed threshold respectively correspond to an example of the first action determination threshold.
  • One or more of the wakeup determination threshold, the bed departure determination threshold, the lying posture determination threshold, the fall determination speed threshold, and the fall determination speed threshold are the sleep determination results of the sleep state determination unit 142 by the process control unit 144 It changes according to.
  • the monitored person monitoring support system MS, the behavior detecting device, and the behavior detecting method for example, determine the behavior of the sub behavior determining process that determines the behavior that can not occur in the sleeping state in the case of the sleeping state. Since it is possible to change the threshold value to a value that can not be substantially determined to be the action, it is possible to further reduce the erroneous determination.
  • the second sub-action determination process compares a second sub-measurement result of the second sub-sensor with a preset second action determination threshold associated with the second action.
  • the process control unit 144 executes, as the control, the second sub-action determination unit 1432 according to the sleep determination result of the sleep state determination unit 142.
  • the second behavior determination threshold value in the second sub behavior determination process is changed. More specifically, as the control, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is lower if both the sleep degree and the reliability are lower.
  • the second behavior determination threshold is changed to a value that is less likely to be determined as the second behavior as compared to the case where either the sleep level or the reliability level is high.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep.
  • the second behavior determination threshold is changed to a value that is more easily determined to be the second behavior than when both the degree and the reliability are low.
  • the micro movement abnormality determination threshold corresponds to an example of the second behavior determination threshold
  • the micro movement abnormality determination threshold corresponds to the sleep state of the sleep state determination unit 142 by the processing control unit 144. It is changed according to the judgment result.
  • the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method for example, determine the activity determination threshold value of the sub activity determination process that determines the activity that can occur in the sleep state in the sleep state Can be changed to a value that is easily determined to be the action, etc., so that erroneous determination can be further reduced.
  • the first sub-action determination process is preset, which is associated with the first sub-measurement result of the first sub-sensor and the first action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the first action by comparing it with the first action determination threshold value, and if the tentatively determined result that is temporarily determined is the first action, the preset first continuation determination The processing is finally determined to be the first action when continuing for a time, and the processing control unit 144 performs the first sub-operation according to the sleep determination result of the sleep state determination unit 142 as the control. The first continuation determination time in the first sub behavior determination process executed by the behavior determination unit 1431 is changed.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep.
  • the first continuation determination time is changed to a value that is less likely to be determined as the first action than when both the degree and the reliability are low.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability.
  • the first continuation determination time is changed to a value that is more easily determined to be the first action than when any one of the degrees is high.
  • the admission continuation determination time, the wakeup continuation determination time, and the bedup continuation determination time respectively correspond to an example of the first continuation determination time, and these admission continuation determination times, the wakeup
  • the processing control unit 144 changes one or more of the continuation determination time and the bed-up continuation determination time according to the sleep determination result of the sleep state determination unit 142.
  • the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method for example, continue determination of the sub activity determination process that determines an activity that can not occur in the sleep state in the sleep state. Since it is possible to change the time to a value that can not be substantially determined to be the action, it is possible to further reduce the erroneous determination.
  • the second sub action determination process is preset, which is associated with the second sub measurement result of the second sub sensor and the second action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the second action by comparing it with the second action determination threshold value, and if the temporary determination result temporarily determined is the second action, a second continuation determination set in advance is made. This is a process of finally determining the second action when continuing for a period of time, and the process control unit 144 performs the second control according to the sleep determination result of the sleep state determination unit 142 as the control. The second continuation determination time in the second sub behavior determination process executed by the sub behavior determination unit is changed.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep.
  • the second continuation determination time is changed to a value that is more easily determined to be the second action than when both the degree and the reliability are low.
  • the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability.
  • the second continuation determination time is changed to a value that is less likely to be determined as the second action than when any one of the degrees is high.
  • the micro movement abnormality continuation determination time corresponds to an example of the second continuation determination time, and the processing control unit 144 causes the sleep state determination unit 142 to determine the micro movement abnormality continuation determination time. It changes according to the sleep judgment result of.
  • the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method for example, continue determination time of the sub activity determination process that determines an activity that may occur in the sleep state in the case of the sleep state. Can be changed to a value that is easily determined to be the action, etc., so that erroneous determination can be further reduced.
  • the process control unit 144 determines whether the first sub behavior determination unit 1431 uses the first sub measurement result of the first sub sensor according to the sleep determination result of the sleep state determination unit 142, And, it is controlled whether or not to make the second sub behavior determination unit 1432 use the second sub measurement result of the second sub sensor.
  • the execution of the behavior determination processing in the behavior determination unit 143 is controlled, and in the second modification, the output of the behavior determination result in the behavior determination unit 143 is controlled.
  • the modification by controlling the input of the action determination unit 143, an effect equivalent to the effect obtained by the control of the execution and the control of the output can be obtained.
  • the process control unit 144 causes the first sub-action determination unit 1431 to execute the process.
  • the first sub measurement result of one sub sensor (the target image generated by the camera 111 of the sensor unit 11 in the above embodiment) is used, and the second sub behavior determination unit 1432 performs the second sub measurement of the second sub sensor
  • the result in the above embodiment, the Doppler signal generated by the Doppler sensor 112 of the sensor unit 11 and stored in the SU storage unit 16) is used.
  • the process control unit 144 causes the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG.
  • the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16 is used.
  • the process control unit 144 causes the first sub behavior determination unit 1431 to perform the first sub measurement result of the first sub sensor (described above In the above, the target image is used, and the second sub behavior determination unit 1432 does not use the second sub measurement result of the second sub sensor (the Doppler signal in the above description).
  • the process control unit 144 causes the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG.
  • the second sub behavior determination unit 1432 does not use the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16. That is, the process S28 is not performed.
  • the process control unit 144 causes the first sub behavior determination unit 1431 to select the first sub sensor of the first sub sensor.
  • the measurement result (the target image as described above) is not used, and the second sub behavior determination unit 1432 uses the second sub measurement result of the second sub sensor (the Doppler signal as described above).
  • the process control unit 144 does not cause the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG. 4.
  • the second sub behavior determination unit 1432 uses the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16. That is, each process of process S21 to process S27 is not performed.
  • the sub activity determination unit that determines the activity that can not occur in the sleep state does not use the sub measurement result
  • the first sub-action determination process determines whether or not it is the first action this time based on the first sub-measurement result of the first sub-sensor and the past first sub-action determination result.
  • the processing control unit 144 forcibly changes the current first sub-action determination result to a preset specified value in accordance with the sleep determination result of the sleep state determination unit 142.
  • the state variable corresponds to an example of the past first sub-action determination result. For example, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability degree is high, the process control unit 144 forcibly updates the state variable with “bed entry”. . Therefore, even if the wakeup is erroneously determined, the wakeup can be determined again, and the erroneous determination can be further reduced.
  • the above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection device and the above-mentioned action detection method set the current first sub-action determination result in advance according to the sleep determination result of the sleep state determination unit 142 Since the value is forcibly changed to the prescribed value, the next first sub-action determination process can be processed more appropriately, and erroneous determinations can be further reduced.
  • the sensor unit SU functionally further includes a clock unit 147 for clocking the date and time in the SU control processing unit 14, and at least a sleep time zone
  • the SU storage unit 16 is further provided with a schedule information storage unit 161 that stores schedule information representing the schedule of the included monitored person Ob in association with the monitored person Ob, and the processing control unit 144
  • the schedule of the monitored person Ob corresponding to the acquired current time is extracted from the schedule information storage unit 161, and the extracted schedule of the monitored person Ob and the sleep determination result of the sleep state determination unit 142 are extracted.
  • the action determination unit 143 is controlled according to For example, if the schedule of the monitored person Ob corresponding to the current time is a sleep time zone, the processing control unit 144 may, for example, determine that the sleep determination result of the sleep state determination unit 142 has both the sleep level and the reliability level.
  • the first action determination threshold is changed to a value that is less likely to be determined as the first action than when it is low, or, for example, the sleep determination result of the sleep state determination unit 142 indicates the sleep degree and the reliability
  • the second action determination threshold is changed to a value that is more likely to be determined to be the second action than when both are low, or, for example, the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability
  • the first continuation determination time is changed to a value that is less likely to be determined as the first action than when both are low, or, for example, the sleep determination result of the sleep state determination unit 142 is the sleep degree and the confidence Every time The determined likely value and the a second behavior than in case both low, equally or change the second continuation determination time.
  • the monitored person monitoring support system MS, the activity detecting device and the activity detecting method control the activity determining unit 143 according to the schedule of the monitored person Ob and the sleep determination result of the sleep state determining unit 142.
  • the schedule of the person to be monitored Ob can be taken into consideration, and false decisions can be further reduced.
  • An activity detection apparatus includes first and second sensors for measuring a person to be monitored, and a sleep state determination unit that determines a sleep state of the person to be monitored based on a first measurement result of the first sensor.
  • An action determination unit that determines a predetermined action of the person to be monitored based on a second measurement result of the second sensor, and a process control that controls the action determination unit according to a sleep determination result of the sleep state determination unit And a unit.
  • the behavior detection device controls the behavior determination unit according to the sleep determination result of the sleep state determination unit, so that erroneous determination can be further reduced.
  • the second sensor includes first and second sub-sensors that measure a person to be monitored, and the behavior determination unit determines a first sub-measurement result of the first sub-sensor.
  • a first sub-action determining unit that executes a first sub-action determining process of determining a first action belonging to the first group among the predetermined actions of the person to be monitored based on the second sub-sensor;
  • a second sub-action determining unit that executes a second sub-action determining process of determining a second action belonging to a second group different from the first group among the predetermined actions of the monitored person based on a measurement result;
  • the process control unit controls at least one of the first and second sub-action determination units according to the sleep determination result of the sleep state determination unit.
  • the first behavior is entering the bed when the monitored person enters the bedding, getting up when the monitored person wakes up, leaving the monitored person away from the bedding, and the monitored person bedding Includes falls that have fallen from it, and falls where the monitored person falls outside the bedding.
  • the second action includes a movement abnormality that is an abnormality of movement due to breathing of a person being monitored.
  • the first sensor and the second sub-sensor are one dual-use Doppler sensor, and the sleep state determination unit is based on the Doppler signal of the Doppler sensor.
  • a sleep state determination process of determining a sleep state and the second sub-action determination unit is configured to select a second action different from the first group among the predetermined actions of the person to be monitored based on the Doppler signal of the Doppler sensor;
  • a second sub-action determination process is performed to determine a second action belonging to a group.
  • Such an action detection device can divide the predetermined action into a first action belonging to a first group which can not occur in the sleep state and a second action belonging to a second group which can occur in the sleep state. Therefore, the behavior determination unit can be more appropriately controlled according to the sleep determination result of the sleep state determination unit, and erroneous determination can be further reduced.
  • the processing control unit executes the first sub-action judging process in the first sub-action judging unit according to the sleep judgment result of the sleep state judging unit. It controls whether or not to execute the second sub action determination process in the second sub action determination unit.
  • the sleep state determination unit represents the degree of sleep representing the degree of depth of sleep of the person to be monitored based on the first measurement result of the first sensor, and confidence in the degree of sleep Find the degree of confidence that represents the degree of gender.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the unit does not execute the first sub action determination process, and causes the second sub action determination unit to execute the second sub action determination process.
  • the sleep degree is equal to or more than a predetermined sleep determination threshold set in advance, or In this case, the degree is equal to or more than a predetermined confidence determination threshold value set in advance.
  • the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • One sub-action determination processing is executed, and the second sub-action determination unit is not caused to execute the second sub-action determination processing.
  • the processing control unit determines that the second sub-action determination is performed when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. Only the unit is to be controlled, and the second sub behavior determination unit is caused to execute the second sub behavior determination process.
  • the process control unit controls only the second sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The target is not to cause the second sub-action determination unit to execute the second sub-action determination process.
  • Such an activity detection apparatus executes, for example, only a sub-action determination process that determines an action that can not occur in the sleep state, or conversely performs only a sub-action determination process that determines an action that may occur in the sleep state.
  • the processing control unit outputs the first sub-action determination result in the first sub-action determination unit according to the sleep determination result of the sleep state determination unit. It controls whether or not to output the second sub-action determination result in the second sub-action determining unit.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The unit does not output the first sub-action determination result, and causes the second sub-action determination unit to output the second sub-action determination result.
  • the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the first sub-action determination result is output, and the second sub-action determination unit does not output the second sub-action determination result.
  • the processing control unit determines that the second sub-action determination is performed when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. Only the unit is to be controlled, and the second sub-action judging unit outputs the second sub-action judgment result.
  • the process control unit controls only the second sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. It is an object, and the second sub behavior determination unit does not output the second sub behavior determination result.
  • Such a behavior detection apparatus outputs, for example, only the sub-action determination result of the sub-action determination process that determines an action that can not occur in the sleep state, or conversely determines the action that can occur in the sleep state.
  • the processing control unit determines a first sub-action determination result in the first sub-action determination unit according to the sleep determination result of the sleep state determination unit as the second sub-action It is controlled whether or not the second sub-action determination result in the action determination unit is to be assisted.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the first sub-action determination result in the unit is rewritten to the second sub-action determination result in the second sub-action determination unit.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the second sub-action determination result in the second sub-action determination unit is added to the first sub-action determination result in the unit.
  • Such a behavior detection apparatus determines, for example, a sub-action determination result of a sub-action determination process that determines an action that can not occur in the sleep state in the sleep state, and determines an action that can occur in the sleep state Since it becomes possible to assist with the sub-action determination result of the above, erroneous determination can be further reduced.
  • the first sub-action determination process includes a first preset measurement result associated with the first sub-measurement result of the first sub-sensor and the first action. It is a process which determines whether it is the said 1st action by comparing with an action determination threshold value, and the said process control part is said 1st according to the sleep determination result of the said sleep state determination part as said control.
  • the first action determination threshold value in the first sub action determination process executed by the sub action determination unit is changed.
  • the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the first behavior determination threshold is changed to a value that is less likely to be determined as the first behavior than when the sleep determination result of the state determination unit is low in both the sleep level and the reliability.
  • the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the first behavior determination threshold is changed to a value that is more likely to be determined as the first behavior as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability is high.
  • Such a behavior detection apparatus changes the behavior determination threshold value of the sub behavior determination process that determines the behavior that can not occur in the sleep state to a value that can not be substantially determined as the behavior in the sleep state. Since it becomes possible to do so, it is possible to further reduce the erroneous determination.
  • the second sub-action determining process is performed by setting a second sub-measurement result of the second sub-sensor and a preset second associated with the second action. It is a process which determines whether it is the said 2nd action by comparing with an action determination threshold value, and the said process control part is said 2nd according to the sleep determination result of the said sleep state determination part as said control.
  • the second action determination threshold value in the second sub action determination process performed by the sub action determination unit is changed.
  • the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the second behavior determination threshold value is changed to a value that is less likely to be determined as the second behavior as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability degree is high.
  • the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the second behavior determination threshold is changed to a value that is more likely to be determined as the second behavior than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability.
  • Such a behavior detection apparatus changes the behavior determination threshold value of the sub behavior determination process that determines the behavior that may occur in the sleep state to a value that is easily determined to be the behavior in the case of the sleep state. Since this becomes possible, it is possible to further reduce the erroneous determination.
  • the first sub-action determination process corresponds to a first sub-measurement result of the first sub-sensor and the first action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the first action by comparing it with a preset first action determination threshold value, and if the provisionally determined temporary determination result is the first action, it is determined in advance. It is a process which finally determines that it is the said 1st action, when continuing for the set 1st continuation determination time, and the said process control part is a sleep determination of the said sleep state determination part as said control.
  • the first continuation determination time in the first sub behavior determination process performed by the first sub behavior determination unit is changed according to the result.
  • the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the first continuation determination time is changed to a value that is less likely to be determined as the first action than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability.
  • the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the first continuation determination time is changed to a value that is more likely to be determined to be the first action than when the sleep determination result is high in either the sleep degree or the reliability.
  • Such a behavior detection apparatus changes the continuation determination time of the sub behavior determination process that determines the behavior that can not occur in the sleep state to a value that can not be substantially determined as the behavior in the sleep state. Since it becomes possible to do so, it is possible to further reduce the erroneous determination.
  • the second sub-action determination process corresponds to a second sub-measurement result of the second sub-sensor and the second action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the second action by comparing it with a preset second action determination threshold value, and if the provisionally determined temporary determination result is the second action, it is determined in advance. The processing is finally determined to be the second action when continuing for the set second continuation determination time, and the processing control unit determines the sleep determination of the sleep state determination unit as the control. According to the result, the second continuation determination time in the second sub-action determination process performed by the second sub-action determination unit is changed.
  • the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the second continuation determination time is changed to a value that is more likely to be determined as the second action than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability.
  • the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the second continuation determination time is changed to a value that is less likely to be determined as the second action as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability is high.
  • Such a behavior detection apparatus changes the continuation determination time of the sub behavior determination process that determines the behavior that may occur in the sleep state to a value that is easily determined to be the behavior in the case of the sleep state. Since this becomes possible, it is possible to further reduce the erroneous determination.
  • the processing control unit causes the first sub-action determination unit to generate a first sub-measurement result of the first sub-sensor according to a sleep determination result of the sleep state determination unit. And whether or not to cause the second sub-operation determination unit to use the second sub-measurement result of the second sub-sensor.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The control unit causes the unit to use the first sub measurement result of the first sub sensor, and causes the second sub behavior determination unit to use the second sub measurement result of the second sub sensor.
  • the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability.
  • the first sub measurement result of one sub sensor is used, and the second sub behavior determination unit does not use the second sub measurement result of the second sub sensor.
  • the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high.
  • the control unit does not use the first sub measurement result of the first sub sensor, and causes the second sub behavior determination unit to use the second sub measurement result of the second sub sensor.
  • Such a behavior detection apparatus does not use the sub-measurement result in, for example, the sub behavior determination unit that determines the behavior that can not occur in the sleep state, or conversely determines the behavior that can occur in the sleep state.
  • the behavior determination unit By controlling the behavior determination unit according to the sleep determination result of the sleep state determination unit so as to use the sub-measurement result, etc., false determination can be further reduced.
  • the first sub-action determination process is a first action this time based on a first sub-measurement result of the first sub-sensor and a first sub-action determination result in the past.
  • the processing control unit forcibly changes the current first sub-action determination result to a preset predetermined value according to the sleep determination result of the sleep state determination unit.
  • Such an action detection device forcibly changes the current first sub-action determination result to a preset prescribed value according to the sleep determination result of the sleep state determination unit, the next first sub-action determination is performed. Processing can be more appropriately processed, and false determinations can be further reduced.
  • the watch person is provided with schedule information representing a watch of the date and time and a schedule of the person to be monitored including at least a sleep time zone.
  • the process control unit acquires the current time from the clock unit, and the schedule information storage unit corresponds to the schedule of the person to be monitored corresponding to the acquired current time.
  • the behavior determination unit is controlled according to the extracted schedule of the monitored person and the sleep determination result of the sleep state determination unit.
  • Such a behavior detection device controls the behavior determination unit according to the schedule of the monitored person and the sleep determination result of the sleep state determination unit, so that the schedule of the monitored person can be taken into consideration, thereby reducing erroneous determinations. it can.
  • the sleep state of the person to be monitored is determined based on the measurement step of measuring the person to be monitored by the first and second sensors, and the first measurement result of the first sensor.
  • the action determination step according to the sleep determination result of the sleep state determination step, the action determination step of determining the predetermined action of the monitored person based on the second measurement result of the second sensor, and the sleep state determination step And a process control process for controlling the process.
  • Such a behavior detection method controls the behavior determination process according to the sleep determination result of the sleep state determination process, so that erroneous determination can be further reduced.
  • a monitored person monitoring support system corresponding to the monitored person, the sensor device detecting a predetermined behavior of the monitored person, and the sensor device communicably connected to the sensor device Central processing unit for managing detection results received from the server, and a terminal device communicably connected to the central processing unit and receiving and displaying the detection results via the central processing unit, It is a to-be-monitored person monitoring assistance system for supporting monitoring, and the said sensor apparatus contains one of these above-mentioned action detection apparatuses.
  • a person-to-be-monitored support system using any of the above-described behavior detection devices.
  • Such a person-to-be-monitored support system uses any one of the above-described action detection devices, so that it is possible to further reduce erroneous determinations.
  • an activity detection apparatus and an activity detection method for detecting a predetermined activity of a monitored person to be monitored, and a monitored person monitoring support system using the activity detection apparatus it is possible to provide an activity detection apparatus and an activity detection method for detecting a predetermined activity of a monitored person to be monitored, and a monitored person monitoring support system using the activity detection apparatus.

Abstract

The action detection device and method therefor, and monitored person monitoring assistance system according to the present invention measure a monitored person with each of first and second sensors, determine the sleeping state of the monitored person on the basis of a first measurement result from the first sensor, determine a prescribed action of the monitored person on the basis of a second measurement result from the second sensor, and control determination processing of the action according to the sleeping determination result.

Description

行動検知装置および該方法ならびに被監視者監視支援システムACTION DETECTING APPARATUS, METHOD THEREOF, AND supervised person monitoring support system
 本発明は、監視すべき監視対象である被監視者における所定の行動を検知する行動検知装置および行動検知方法に関する。そして、本発明は、この行動検知装置を用いた被監視者監視支援システムに関する。 The present invention relates to an action detection apparatus and an action detection method for detecting a predetermined action of a person to be monitored which is a monitoring target to be monitored. And this invention relates to the to-be-monitored person monitoring assistance system using this action detection apparatus.
 我が国(日本)は、高齢化社会、より詳しくは、高齢化率が26.7%(2015年10月1日現在、内閣府)を超える超高齢化社会になっている。このような高齢化社会では、病気や怪我や高齢等による看護や介護を必要とする要看護者や要介護者等(要看介護者)は、高齢化社会ではない通常の社会で生じる要看護者や要介護者等よりもその増加が見込まれる。これら要看介護者は、一般的には、病院や、老人福祉施設(日本の法令では老人短期入所施設、養護老人ホームおよび特別養護老人ホーム等)等の施設に入所し、その看護や介護を受ける。このような施設では、看護師や介護士等(看介護者)は、定期的に巡視することによってその安否や様子を確認している。 Japan (Japan) has become an aging society, more specifically, a super aging society with an aging rate exceeding 26.7% (as of October 1, 2015, the Cabinet Office). In such an aging society, nurses who need nursing or nursing care due to illness, injury or old age, etc. (needed caregivers) need nursing care that occurs in a normal society that is not an aging society The number is expected to increase more than people who need care and those who need care. These caretakers generally enter facilities such as hospitals and welfare facilities for the elderly (in Japan, according to Japanese laws and regulations for the elderly, nursing homes and nursing homes for the elderly, etc.) receive. In such facilities, nurses and carers etc. (nursing carers) check their safety and security by regularly patrolling them.
 しかしながら、要看介護者の増加数に対し看介護者の増加数が追い付かずに、看護業界や介護業界では、慢性的に人手不足になっている。さらに、日勤の時間帯に較べ、準夜勤や夜勤の時間帯では、看介護者の人数が減り、一人当たりの業務負荷が増大するので、前記業務負荷の軽減が要請される。このような人手不足や看介護者の負担を軽減するため、看護業務や介護業務を補完する技術が求められている。このため、近年では、要看介護者の、監視すべき監視対象である被監視者を監視(モニタ)する被監視者監視技術が研究、開発されている。 However, the number of nursing carers has not kept pace with the number of carers who need nursing care, and the nursing industry and the care industry are chronically understaffed. Furthermore, since the number of carers and nurses decreases and the workload per person increases during the night shift and night shift hours as compared with the day shift hours, the reduction of the load is required. In order to reduce such labor shortages and the burden on nursing and carers, there is a need for a technology that complements nursing services and nursing services. For this reason, in recent years, there has been researched and developed a monitored person monitoring technology for monitoring (monitoring) a monitored person who is a monitoring target to be monitored of a care receiver required.
 このような被監視者監視技術の1つとして、特許文献1に開示された状態検知装置がある。この特許文献1に開示された状態検知装置は、ベッド上の対象者を撮像した画像を解析することにより、前記対象者の移動方向を検出する画像処理部と、前記画像処理部によって検出された移動方向と前記対象者の過去の状態とに基づいて、前記対象者の現在の状態を判別する判別部と、前記判別部によって得られた前記対象者の現在の状態を示す情報を出力する出力部と、を備える。前記過去の状態および前記現在の状態は、前記対象者が前記ベッド上に横たわっている着床状態と、前記対象者が前記ベッド上で上半身を起こしている起床状態と、前記対象者が前記ベッドの端の部分にいる離床状態と、前記対象者が前記ベッドから離れている不在状態とを含み、前記判別部は、前記複数種類の前記過去の状態ごとに異なる基準を用いて、前記対象者の現在の状態を判別する。より具体的には、前記判別部は、過去の、検知領域に対する対象者の像の位置と、現在の、前記検知領域に対する前記対象者の像の位置とから、前記状態を判別している(例えば[0022]段落ないし[0031]段落)。 As one of such monitored person monitoring techniques, there is a state detecting device disclosed in Patent Document 1. The state detection device disclosed in this patent document 1 is detected by the image processing unit that detects the moving direction of the target person by analyzing an image obtained by imaging the target person on the bed, and the image processing unit A determination unit that determines the current state of the subject based on the moving direction and the past state of the target, and an output that outputs information indicating the current state of the subject obtained by the determination unit. And a unit. The past state and the current state are a landing state in which the subject is lying on the bed, a rising state in which the subject is raising the upper body on the bed, and the bed in which the subject is in the bed And the determination unit is configured to use the different criteria for each of the plurality of types of the past states, and the separated state including the bed leaving state at the end portion of the bed and the absent state in which the subject is separated from the bed. Determine the current state of. More specifically, the determination unit determines the state from the position of the image of the subject relative to the detection area in the past and the current position of the image of the subject relative to the detection area (see FIG. For example, paragraphs [0022] to [0031]).
 一方、安否確認の点では、一人暮らしの独居者も前記要看護者等と同様であり、監視対象である被監視者となる。 On the other hand, in terms of safety confirmation, a single person living alone is also the same as the nurse who needs to be a person to be monitored and is a monitored person.
 ところで、前記特許文献1に開示された状態検知装置は、上述のように、前記状態を判別しているので、ベッド付近での付添人の動きや、対象者の寝返り等によって、誤判別してしまう虞がある。判別結果が、例えば看護師や介護士等の監視者に発報(通知、報知)されるシステムでは、誤判別による誤報が発生すると、前記監視者への無駄な通知が増えることになる結果、例えば、現地に赴くことで、あるいは、画像で確認すること等で、例えば要看護者や要介護者等の被監視者の安否を確認する作業等の、誤報による作業の負荷が増えてしまう。特に、通常、監視者の人数が減る、準夜勤や夜勤の時間帯では、誤判別による誤報の発生は、重要な問題である。 By the way, since the state detection device disclosed in the patent document 1 determines the above-mentioned state as described above, there is a possibility that erroneous determination may be made by the movement of the attendant near the bed, the turning over of the subject, etc. There is. In a system in which the discrimination result is reported (notified, notified) to a monitor such as a nurse or a carer, for example, useless notification to the monitor may be increased if a false alarm is generated due to misclassification, For example, by visiting the site, or confirming with images, the load of work due to a false alarm, for example, the work of confirming the safety of a monitored subject such as a nurse requiring a care or a care requiring person increases. In particular, the occurrence of false alarms due to misclassification is an important issue, particularly in the semi-night shift or night shift hours, when the number of observers decreases.
特開2012-170483号公報JP 2012-170483
 本発明は、上述の事情に鑑みて為された発明であり、その目的は、誤判別(誤判定、誤検知)をより低減できる行動検知装置および行動検知方法、ならびに、この行動検知装置を用いた被監視者監視支援システムを提供することである。 The present invention is an invention made in view of the above-mentioned circumstances, and an object thereof is an action detection apparatus and an action detection method capable of further reducing misclassification (misjudgment, false detection), and the action detection apparatus It is an object of the present invention to provide a monitored person monitoring support system.
 上述した目的を実現するために、本発明の一側面を反映した行動検知装置および行動検知方法ならびに被監視者監視支援システムは、第1および第2センサそれぞれで被監視者を測定し、前記第1センサの第1測定結果に基づいて前記被監視者の睡眠状態を判定し、前記第2センサの第2測定結果に基づいて前記被監視者における所定の行動を判定し、睡眠判定結果に応じて前記行動の判定処理を制御する。 In order to realize the above-mentioned object, the behavior detection device and the behavior detection method reflecting the one aspect of the present invention, and the person-to-be-monitored support system measure the person to be monitored with the first and second sensors, respectively. The sleep state of the person to be monitored is determined based on the first measurement result of one sensor, the predetermined behavior of the person to be monitored is determined based on the second measurement result of the second sensor, and the sleep determination result is Control the action determination process.
 発明の1または複数の実施形態により与えられる利点および特徴は、以下に与えられる詳細な説明および添付図面から十分に理解される。これら詳細な説明及び添付図面は、例としてのみ与えられるものであり本発明の限定の定義として意図されるものではない。 The advantages and features provided by one or more embodiments of the invention will be better understood from the detailed description given below and the accompanying drawings. These detailed descriptions and the accompanying drawings are given by way of example only and are not intended as a definition of the limits of the present invention.
実施形態における被監視者監視支援システムの構成を示す図である。BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the structure of the to-be-monitored person monitoring assistance system in embodiment. 前記被監視者監視支援システムにおける、実施形態の行動検知装置が組み込まれたセンサ装置の構成を示す図である。It is a figure which shows the structure of the sensor apparatus in which the behavior detection apparatus of embodiment in the said person-to-be-monitored monitoring support system was integrated. サービスモードにおける、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in a service mode. 図3に示す睡眠判定結果に応じた行動判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the action determination processing according to the sleep determination result shown in FIG. 図4に示す転落判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the fall determination process shown in FIG. 図4に示す転倒判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the fall determination process shown in FIG. 図4に示す入床判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the entering determination process shown in FIG. 図4に示す起床判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the wake-up determination processing shown in FIG. 図4に示す離床判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the bed leaving determination processing shown in FIG. 図4に示す微体動異常判定処理における、前記センサ装置の動作を示すフローチャートである。It is a flowchart which shows operation | movement of the said sensor apparatus in the micro body movement abnormality determination processing shown in FIG. 前記端末装置に表示されるメイン画面の一例を示す図である。It is a figure which shows an example of the main screen displayed on the said terminal device. 前記端末装置に表示される第1設定画面の一例を示す図である。It is a figure which shows an example of the 1st setting screen displayed on the said terminal device. 前記端末装置に表示される第2設定画面の一例を示す図である。It is a figure which shows an example of the 2nd setting screen displayed on the said terminal device. 前記端末装置に表示される監視情報画面の一例を示す図である。It is a figure which shows an example of the monitoring information screen displayed on the said terminal device.
 以下、本発明にかかる実施の一形態を図面に基づいて説明する。しかしながら、発明の範囲は、開示された実施形態に限定されない。なお、各図において同一の符号を付した構成は、同一の構成であることを示し、適宜、その説明を省略する。本明細書において、総称する場合には添え字を省略した参照符号で示し、個別の構成を指す場合には添え字を付した参照符号で示す。 Hereinafter, an embodiment according to the present invention will be described based on the drawings. However, the scope of the invention is not limited to the disclosed embodiments. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, and abbreviate | omits the description suitably. In the present specification, suffixes are generally indicated by reference numerals without suffixes, and individual configurations are indicated by subscripts.
 実施形態における被監視者監視支援システムは、被監視者Obに対応して設けられ、前記被監視者Obにおける所定の行動を検知するセンサ装置、前記センサ装置と通信可能に接続され前記センサ装置から受信した検知結果を管理する中央処理装置、および、前記中央処理装置と通信可能に接続され前記中央処理装置を介して前記検知結果を受信して表示する端末装置を備え、前記被監視者Obの監視を支援するためのシステムである。このセンサ装置は、本実施形態における行動検知装置を含む。この実施形態における行動検知装置は、被監視者Obを測定する第1および第2センサと、前記第1センサの第1測定結果に基づいて前記被監視者Obの睡眠状態を判定する睡眠状態判定部と、前記第2センサの第2測定結果に基づいて前記被監視者Obにおける所定の行動を判定する行動判定部と、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御する処理制御部とを備える。この行動検知装置は、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御するので、誤判定をより低減できる。このような行動検知装置は、本実施形態では、前記第2センサは、被監視者Obを測定する第1および第2サブセンサを含み、前記行動判定部は、前記第1サブセンサの第1サブ測定結果に基づいて前記被監視者Obにおける所定の行動のうち、第1グループに属する第1行動を判定する第1サブ行動判定処理を実行する第1サブ行動判定部と、前記第2サブセンサの第2サブ測定結果に基づいて前記被監視者Obにおける所定の行動のうち、前記第1グループと異なる第2グループに属する第2行動を判定する第2サブ行動判定処理を実行する第2サブ行動判定部とを含み、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて前記第1および第2サブ行動判定部のうちの少なくともいずれかを制御する。これによれば、前記所定の行動を、睡眠状態で生じ得ない第1グループに属する第1行動と、睡眠状態で生じ得る第2グループに属する第2行動とに分けることが可能となるので、このような行動検知装置は、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部をより適切に制御でき、誤判定をより低減できる。以下、より具体的に説明する。 The monitored person monitoring support system in the embodiment is provided corresponding to the monitored person Ob, and a sensor device for detecting a predetermined action in the monitored person Ob, and communicably connected to the sensor device from the sensor device A central processing unit that manages received detection results, and a terminal device communicably connected to the central processing unit and receiving and displaying the detection results via the central processing unit It is a system to support monitoring. This sensor device includes the behavior detection device in the present embodiment. The behavior detection apparatus in this embodiment determines the sleep state of the monitored person Ob based on the first and second sensors that measure the monitored person Ob and the first measurement result of the first sensor. Controlling the behavior determination unit according to a sleep determination result of the sleep state determination unit, and a behavior determination unit that determines a predetermined behavior of the monitored person Ob based on a second measurement result of the second sensor And a processing control unit. Since this behavior detection device controls the behavior determination unit according to the sleep determination result of the sleep state determination unit, it is possible to further reduce erroneous determinations. In the behavior detection device, in the present embodiment, the second sensor includes first and second sub-sensors that measure the monitored person Ob, and the behavior determination unit measures the first sub-sensor of the first sub-sensor. A first sub-action determining unit that executes a first sub-action determining process of determining a first action belonging to a first group among predetermined actions of the monitored person Ob based on a result; Second sub-action determination that executes a second sub-action determination process of determining a second action belonging to a second group different from the first group among predetermined actions of the monitored person Ob based on a two-sub measurement result And the processing control unit controls at least one of the first and second sub-action determining units according to the sleep determination result of the sleep state determining unit. According to this, it is possible to divide the predetermined action into the first action belonging to the first group which can not occur in the sleep state and the second action belonging to the second group which can occur in the sleep state. Such an action detection device can control the action determination unit more appropriately according to the sleep determination result of the sleep state determination unit, and can further reduce erroneous determinations. The following more specifically describes.
 なお、前記端末装置は、1種類の装置であって良いが、本実施形態態では、前記端末装置は、固定端末装置と携帯端末装置との2種類の装置である。これら固定端末装置と携帯端末装置との主な相違は、固定端末装置が固定的に運用される一方、携帯端末装置が例えば看護師や介護士等の監視者(ユーザ)に携行されて運用される点であり、これら固定端末装置と携帯端末装置とは、略同様である。 The terminal device may be one type of device, but in the present embodiment, the terminal device is two types of devices, a fixed terminal device and a portable terminal device. The main difference between the fixed terminal device and the mobile terminal device is that while the fixed terminal device is operated in a fixed manner, the mobile terminal device is operated by being carried by a supervisor (user) such as a nurse or a caregiver, for example. These fixed terminal devices and mobile terminal devices are substantially the same.
 図1は、実施形態における被監視者監視支援システムの構成を示す図である。図2は、前記被監視者監視支援システムにおける、実施形態の行動検知装置が組み込まれたセンサ装置の構成を示す図である。 FIG. 1 is a diagram showing a configuration of a monitored person monitoring support system in the embodiment. FIG. 2 is a diagram showing a configuration of a sensor device in which the behavior detection device of the embodiment is incorporated in the monitored person monitoring support system.
 より具体的には、被監視者監視支援システムMSは、例えば、図1に示すように、1または複数のセンサ装置SU(SU-1~SU-4)と、管理サーバ装置SVと、固定端末装置SPと、1または複数の携帯端末装置TA(TA-1、TA-2)と、構内交換機(PBX、Private branch exchange)CXとを備え、これらは、有線や無線で、LAN(Local Area Network)等の網(ネットワーク、通信回線)NWを介して通信可能に接続される。ネットワークNWは、通信信号を中継する例えばリピーター、ブリッジおよびルーター等の中継機が備えられても良い。図1に示す例では、これら複数のセンサ装置SU-1~SU-4、管理サーバ装置SV、固定端末装置SP、複数の携帯端末装置TA-1、TA-2および構内交換機CXは、L2スイッチの集線装置(ハブ、HUB)LSおよびアクセスポイントAPを含む有線および無線の混在したLAN(例えばIEEE802.11規格に従ったLAN等)NWによって互いに通信可能に接続されている。より詳しくは、複数のセンサ装置SU-1~SU-4、管理サーバ装置SV、固定端末装置SPおよび構内交換機CXは、集線装置LSに接続され、複数の携帯端末装置TA-1、TA-2は、アクセスポイントAPを介して集線装置LSに接続されている。そして、ネットワークNWは、TCP(Transmission control protocol)およびIP(Internet protocol)等のインターネットプロトコル群が用いられることによっていわゆるイントラネットを構成する。 More specifically, for example, as shown in FIG. 1, the monitored person monitoring support system MS includes one or more sensor devices SU (SU-1 to SU-4), a management server SV, and a fixed terminal. A device SP, one or more portable terminal devices TA (TA-1 and TA-2), and a private branch exchange (PBX) CX are provided in a wired or wireless manner and in a LAN (Local Area Network). Etc. communicably connected via a network (network, communication line) NW. The network NW may be provided with relays such as repeaters, bridges and routers for relaying communication signals. In the example shown in FIG. 1, the plurality of sensor devices SU-1 to SU-4, the management server SV, the fixed terminal SP, the plurality of portable terminals TA-1 and TA-2, and the private branch exchange CX are L2 switches. Are connected communicably to each other by a wired / wireless mixed LAN (for example, a LAN according to the IEEE 802.11 standard) NW including the line concentrators (hub, HUB) LS and the access point AP. More specifically, the plurality of sensor devices SU-1 to SU-4, the management server SV, the fixed terminal SP, and the private branch exchange CX are connected to the concentrator LS, and the plurality of mobile terminals TA-1 and TA-2 are connected. Are connected to the concentrator LS via the access point AP. Then, the network NW constructs a so-called intranet by using an internet protocol group such as a transmission control protocol (TCP) and an internet protocol (IP).
 構内交換機(回線切換機)CXは、ネットワークNWに接続され、携帯端末装置TA同士における発信、着信および通話等の内線電話の制御を行って前記携帯端末装置TA同士の内線電話を実施し、そして、例えば固定電話網や携帯電話網等の公衆電話網PNを介して例えば固定電話機や携帯電話機等の外線電話機TLに接続され、外線電話機TLと携帯端末装置TAとの間における発信、着信および通話等の外線電話の制御を行って外線電話機TLと携帯端末装置TAとの間における外線電話を実施する装置である。構内交換機CXは、例えば、デジタル交換機や、IP-PBX(Internet Protocol Private Branch eXchange)等である。 The private branch exchange (line switching unit) CX is connected to the network NW, controls extension telephones such as call origination, call reception, and call between the mobile terminal devices TA, and carries out extension telephone calls between the mobile terminal devices TA, For example, it is connected to an outside telephone TL such as a fixed telephone or a mobile telephone through a public telephone network PN such as a fixed telephone network or a mobile telephone network, for example, to make, receive, and make calls between the outside telephone TL and the mobile terminal device TA. , Etc. to control the outside line telephone to carry out the outside line telephone between the outside line telephone TL and the portable terminal device TA. The private branch exchange CX is, for example, a digital exchange, an IP-PBX (Internet Protocol Private Branch eXchange), or the like.
 被監視者監視支援システムMSは、被監視者Obに応じて適宜な場所に配設される。被監視者(見守り対象者)Obは、例えば、病気や怪我等によって看護を必要とする者や、身体能力の低下等によって介護を必要とする者や、一人暮らしの独居者等である。特に、早期発見と早期対処とを可能にする観点から、被監視者Obは、例えば異常状態等の所定の不都合な事象がその者に生じた場合にその発見を必要としている者であることが好ましい。このため、被監視者監視支援システムMSは、被監視者Obの種類に応じて、病院、老人福祉施設および住戸等の建物に好適に配設される。図1に示す例では、被監視者監視支援システムMSは、複数の被監視者Obが入居する複数の居室RMや、ナースステーション等の複数の部屋を備える介護施設の建物に配設されている。 The monitored person monitoring support system MS is disposed at an appropriate place according to the monitored person Ob. The monitored person (watching target person) Ob is, for example, a person who needs nursing due to illness or injury, a person who needs care due to a decrease in physical ability or the like, or a single person living alone. In particular, from the viewpoint of enabling early detection and coping, the person to be monitored Ob is a person who needs the detection when a predetermined adverse event such as an abnormal condition occurs in the person. preferable. For this reason, the person-to-be-monitored monitoring support system MS is suitably disposed in buildings such as hospitals, welfare facilities for the elderly and dwelling units according to the type of the person to be monitored Ob. In the example illustrated in FIG. 1, the monitored person monitoring support system MS is disposed in a building of a care facility provided with a plurality of living rooms RM in which a plurality of monitored persons Ob reside, and a plurality of rooms such as a nurse station. .
 センサ装置SUは、ネットワークNWを介して他の装置SV、SP、TAと通信する通信機能等を備え、被監視者Obに関わる所定のイベントを検知してこの検知した前記イベントを管理サーバ装置SVへ通知し、端末装置SP、TAとの間で音声通話を行い、そして、動画を含む画像を生成して端末装置SP、TAへ動画を配信する装置である。前記所定のイベント(事象)は、好ましくは、対処(対応)が必要なイベントを含む。本実施形態では、前記所定のイベントは、被監視者Obにおける、予め設定された所定の行動を含み、ナースコールを含む。このようなセンサ装置SUは、例えば、図2に示すように、センサ部11と、センサ側音入出力部(SU音入出力部)12と、ナースコール受付操作部13と、センサ側制御処理部(SU制御処理部)14と、センサ側通信インターフェース部(SU通信IF部)15と、センサ側記憶部(SU記憶部)16とを備える。 The sensor device SU has a communication function and the like for communicating with other devices SV, SP, and TA via the network NW, detects a predetermined event related to the monitored person Ob, and detects the detected event as the management server device SV. To the terminal apparatus SP and TA, and generates an image including a moving image and distributes the moving image to the terminal apparatus SP and TA. The predetermined event (event) preferably includes an event that requires a response. In the present embodiment, the predetermined event includes a predetermined action set in the monitored person Ob and includes a nurse call. Such a sensor device SU includes, for example, as shown in FIG. 2, a sensor unit 11, a sensor side sound input / output unit (SU sound input / output unit) 12, a nurse call reception operation unit 13, and a sensor side control process. A unit (SU control processing unit) 14, a sensor side communication interface unit (SU communication IF unit) 15, and a sensor side storage unit (SU storage unit) 16 are provided.
 センサ部11は、SU制御処理部14に接続され、SU制御処理部14の制御に従って、被監視者Obにおける予め設定された所定の諸量を測定する装置である。本実施形態では、センサ部11は、被監視者Obの睡眠状態を判定するために、第1センサを備え、被監視者Obにおける前記所定の行動を判定するために、第2センサを備える。 The sensor unit 11 is connected to the SU control processing unit 14, and is a device that measures predetermined amounts set in advance in the monitored person Ob under the control of the SU control processing unit 14. In the present embodiment, the sensor unit 11 includes a first sensor to determine the sleep state of the monitored person Ob, and includes a second sensor to determine the predetermined action of the monitored person Ob.
 前記第1センサは、本実施形態では呼吸状態に基づいて被監視者Obの睡眠状態を判定するため、被監視者Obの呼吸を前記所定の諸量の1つとして測定できる任意の種類の装置であって良い。前記第1センサは、例えば、手首等に装着して脈拍を測る脈拍計等であって良いが、本実施形態では、被監視者Obに対し非接触で呼吸を測定できることから、ドップラセンサ112を備えて構成される。 In the present embodiment, since the first sensor determines the sleep state of the monitored person Ob based on the respiratory state, any kind of device capable of measuring the respiration of the monitored person Ob as one of the predetermined amounts. It is good. The first sensor may be, for example, a pulsimeter or the like attached to a wrist or the like to measure a pulse, but in the present embodiment, the Doppler sensor 112 can be It comprises and is constituted.
 前記第2センサは、前記所定の行動のうち、第1グループに属する第1行動を判定するために、第1サブセンサを備え、前記所定の行動のうち、第1グループと異なる第2グループに属する第2行動を判定するために、第2サブセンサを備える。前記所定の行動は、例えば、本実施形態では、被監視者Obが寝具BDに入った入床、被監視者Obが起きた起床、被監視者Obが寝具BDから離れた離床、被監視者Obが寝具BDから落ちた転落、被監視者Obが寝具BD外で倒れた転倒、および、被監視者の呼吸による微体動の異常である微体動異常を含む。そして、本実施形態では、これら所定の行動は、睡眠状態で生じ得ない第1グループと、睡眠状態で生じ得る第2グループとに分けられる。この睡眠状態で生じ得ない第1グループに属する第1行動には、入床、起床、離床、転落および転倒が含まれ、前記睡眠状態で生じ得る第2グループに属する第2行動には、微体動異常が含まれる。前記第1サブセンサは、このような第1行動を判定できる任意の装置であって良い。前記第1サブセンサは、例えば、温度分布から人物領域を抽出できるサーモグラフィー装置や、距離分布から人物領域を抽出できる距離画像センサ等であっても良いが、本実施形態では、画像に基づいて第1行動を判定するので、画像を前記所定の諸量の1つとして生成するカメラ111を備えて構成される。前記第2サブセンサは、このような第2行動を判定できる任意の装置であって良い。本実施形態では、第2行動は、被監視者の呼吸による微体動の異常である微体動異常であるので、被監視者Obの呼吸を前記所定の諸量の1つとして測定できる装置であり、例えば、ドップラセンサ112を備えて構成される。すなわち、本実施形態では、ドップラセンサ112は、前記第1センサと前記第2サブセンサとに兼用されている。 The second sensor includes a first sub-sensor to determine a first action belonging to a first group among the predetermined actions, and belongs to a second group different from the first group among the predetermined actions. A second sub-sensor is provided to determine a second action. The predetermined action is, for example, in the present embodiment, the entering of the monitored person Ob into the bedding BD, the rising of the monitored person Ob, the leaving of the monitored person Ob from the bedding BD, the monitored person The fall includes the fall of Ob from the bedding BD, the fall of the monitored person Ob falling outside the bedding BD, and a micromotion abnormality that is an abnormality of micromotion due to the respiration of the monitored person. And in this embodiment, these predetermined actions are divided into the 1st group which can not occur in a sleep state, and the 2nd group which can arise in a sleep state. The first behavior belonging to the first group which can not occur in this sleep state includes admission, wake up, bed leaving, fall and fall, and the second behavior belonging to the second group which can occur in said sleep condition is slightly different. Physical movement abnormality is included. The first sub-sensor may be any device capable of determining such a first action. The first sub-sensor may be, for example, a thermographic apparatus capable of extracting a human region from a temperature distribution, or a distance image sensor capable of extracting a human region from a distance distribution, but in the present embodiment, the first sub-sensor is based on an image. Since the action is determined, the camera 111 is configured to generate an image as one of the predetermined amounts. The second sub sensor may be any device capable of determining such a second action. In the present embodiment, since the second action is a micromotion abnormality which is a micromotion abnormality due to the respiration of the person being monitored, a device capable of measuring the respiration of the person being monitored Ob as one of the predetermined amounts. For example, the Doppler sensor 112 is comprised. That is, in the present embodiment, the Doppler sensor 112 is shared by the first sensor and the second sub sensor.
 このように本実施形態では、センサ部11は、カメラ111と、ドップラセンサ112とを備える。 As described above, in the present embodiment, the sensor unit 11 includes the camera 111 and the Doppler sensor 112.
 カメラ111は、SU制御処理部14に接続され、SU制御処理部14の制御に従って、画像(画像データ)を生成する装置である。前記画像には、静止画(静止画データ)および動画(動画データ)が含まれる。カメラ111は、被監視者Obが所在を予定している空間(所在空間、図1に示す例では配設場所の居室RM)を監視可能に配置され、前記所在空間を撮像対象としてその上方から撮像し、前記撮像対象を俯瞰した画像(画像データ)を生成し、前記撮像対象の画像(対象画像)をSU制御処理部14へ出力する。好ましくは、被監視者Ob全体を撮像できる蓋然性が高いことから、撮像部111は、被監視者Obが横臥する寝具(例えばベッド等)BDにおける、被監視者Obの頭部が位置すると予定されている予め設定された頭部予定位置(通常、枕の配設位置)の直上から撮像対象を撮像できるように配設される。センサ装置SUは、このカメラ111によって、被監視者Obを、被監視者Obの上方から撮像した画像、好ましくは前記頭部予定位置の直上から撮像した画像を取得する。 The camera 111 is a device that is connected to the SU control processing unit 14 and generates an image (image data) under the control of the SU control processing unit 14. The images include still images (still image data) and moving images (moving image data). The camera 111 is arranged to be able to monitor the space where the person to be monitored Ob is planning to be located (location space; room RM in the arrangement location in the example shown in FIG. 1) An image (image data) obtained by imaging and looking over the imaging target is generated, and an image (target image) of the imaging target is output to the SU control processing unit 14. Preferably, the imaging unit 111 is scheduled to locate the head of the subject Ob in the bedding (for example, a bed or the like) BD in which the subject Ob is lying, since it is highly probable that the entire subject Ob can be imaged. It arrange | positions so that an imaging target can be imaged from the just overhead of the head preset position (usually the arrangement | positioning position of a pillow) currently set. The sensor unit SU uses this camera 111 to obtain an image of the person to be monitored Ob, which is taken from above the person to be monitored Ob, preferably an image of the person to be monitored Ob, which is taken from directly above the planned head position.
 このようなカメラ111は、可視光の画像を生成する装置であって良いが、比較的暗がりでも被監視者Obを監視できるように、本実施形態では、赤外線の画像を生成するデジタル赤外線カメラである。このようなデジタル赤外線カメラ111は、例えば、本実施形態では、撮像対象における赤外の光学像を所定の結像面上に結像する結像光学系、前記結像面に受光面を一致させて配置され、前記撮像対象における赤外の光学像を電気的な信号に変換するイメージセンサ、および、イメージセンサの出力を画像処理することで前記撮像対象における赤外の画像を表すデータである画像データを生成する画像処理部等を備えて構成される。カメラ111の前記結像光学系は、本実施形態では、その配設された居室RM全体を撮像できる画角を持つ広角な光学系(いわゆる広角レンズ(魚眼レンズを含む))であることが好ましい。 Such a camera 111 may be a device that generates an image of visible light, but in the present embodiment, it is a digital infrared camera that generates an infrared image so as to be able to monitor the monitored person Ob even in a relatively dark state. is there. Such a digital infrared camera 111 is, for example, in the present embodiment, an imaging optical system for forming an infrared optical image of an imaging object on a predetermined imaging surface, and matching the light receiving surface with the imaging surface. And an image sensor that converts an infrared optical image of the imaging target into an electrical signal, and an image that is data representing an infrared image of the imaging target by performing image processing on an output of the image sensor An image processing unit that generates data is configured. In the present embodiment, the imaging optical system of the camera 111 is preferably a wide-angle optical system (a so-called wide-angle lens (including a fisheye lens)) having an angle of view capable of imaging the entire room RM provided.
 ドップラセンサ112は、SU制御処理部14に接続され、SU制御処理部14の制御に従って、被監視者Obにおける、呼吸に伴う胸部の体表の動きを測定する装置である。ドップラセンサ112は、送信波を送信し、物体で反射した前記送信波の反射波を受信し、前記送信波と前記反射波とに基づいてドップラ周波数成分のドップラ信号を出力する体動センサである。前記物体が動いている場合、いわゆるドップラ効果により前記物体の動いている速度に比例して反射波の周波数がシフトするため、送信波の周波数と反射波の周波数とに差(ドップラ周波数成分)が生じる。ドップラセンサ112は、このドップラ周波数成分の信号をドップラ信号として所定のサンプリングレートで生成し、SU制御処理部14へ出力する。SU制御処理部14は、ドップラセンサ112からドップラ信号を受信すると、この受信したドップラ信号を時系列でSU記憶部16に記憶する。前記送信波は、超音波やマイクロ波等であって良いが、本実施形態では、マイクロ波である。マイクロ波は、着衣を透過して被監視者Obの体表で反射できるため、被監視者Obが衣服を着ていても体表の動きを検知でき、好ましい。 The Doppler sensor 112 is connected to the SU control processing unit 14, and is a device that measures the movement of the body surface of the chest associated with breathing in the monitored person Ob according to the control of the SU control processing unit 14. The Doppler sensor 112 is a body movement sensor that transmits a transmission wave, receives a reflection wave of the transmission wave reflected by an object, and outputs a Doppler signal of a Doppler frequency component based on the transmission wave and the reflection wave. . When the object is moving, the frequency of the reflected wave is shifted in proportion to the moving velocity of the object by the so-called Doppler effect, so the difference between the frequency of the transmission wave and the frequency of the reflected wave (Doppler frequency component) It occurs. The Doppler sensor 112 generates a signal of this Doppler frequency component as a Doppler signal at a predetermined sampling rate, and outputs the signal to the SU control processing unit 14. When the SU control processing unit 14 receives a Doppler signal from the Doppler sensor 112, the SU control processing unit 14 stores the received Doppler signal in the SU storage unit 16 in time series. The transmission wave may be an ultrasonic wave, a microwave or the like, but in the present embodiment, it is a microwave. The microwave can be transmitted through the clothes and reflected by the body surface of the monitored person Ob, so that the movement of the body surface can be detected even if the monitored person Ob wears clothes, which is preferable.
 SU音入出力部12は、SU制御処理部14に接続され、外部の音を取得してセンサ装置SUに入力するための回路であって、SU制御処理部14の制御に従って音を表す電気信号に応じた音を生成して出力するための回路である。SU音入出力部12は、例えば、音の音響振動を電気信号に変換するマイクロホン等と、音の電気信号を音の音響振動に変換するスピーカ等とを備えて構成される。SU音入出力部12は、外部の音を表す電気信号をSU制御処理部14へ出力し、また、SU制御処理部14から入力された電気信号を音の音響振動に変換して出力する。 The SU sound input / output unit 12 is a circuit connected to the SU control processing unit 14 for acquiring an external sound and inputting it to the sensor unit SU, and an electric signal representing the sound according to the control of the SU control processing unit 14 It is a circuit for generating and outputting a sound according to. The SU sound input / output unit 12 is configured to include, for example, a microphone that converts acoustic vibration of sound into an electrical signal, and a speaker that converts electrical signal of sound into acoustic vibration of sound. The SU sound input / output unit 12 outputs an electrical signal representing an external sound to the SU control processing unit 14, and converts the electrical signal input from the SU control processing unit 14 into acoustic vibration of sound and outputs the acoustic vibration.
 ナースコール受付操作部13は、SU制御処理部14に接続され、ナースコールを当該センサ装置SUに入力するための例えば押しボタン式スイッチ等のスイッチ回路である。なお、ナースコール受付操作部13は、有線でSU制御処理部14に接続されて良く、また、例えばBluetooth(登録商標)規格等の近距離無線通信でSU制御処理部14に接続されて良い。 The nurse call reception operation unit 13 is connected to the SU control processing unit 14 and is a switch circuit such as a push button type switch for inputting a nurse call to the sensor device SU. The nurse call reception operation unit 13 may be connected to the SU control processing unit 14 by wire, or may be connected to the SU control processing unit 14 by short distance wireless communication such as Bluetooth (registered trademark) standard, for example.
 SU通信IF部15は、SU制御処理部14に接続され、SU制御処理部14の制御に従って通信を行うための通信回路である。SU通信IF部15は、SU制御処理部14から入力された転送すべきデータを収容した通信信号を、この被監視者監視支援システムMSのネットワークNWで用いられる通信プロトコルに従って生成し、この生成した通信信号をネットワークNWを介して他の装置SV、SP、TAへ送信する。SU通信IF部15は、ネットワークNWを介して他の装置SV、SP、TAから通信信号を受信し、この受信した通信信号からデータを取り出し、この取り出したデータをSU制御処理部14が処理可能な形式のデータに変換してSU制御処理部14へ出力する。SU通信IF部15は、例えば、IEEE802.11規格等に従った通信インターフェース回路を備えて構成される。 The SU communication IF unit 15 is a communication circuit that is connected to the SU control processing unit 14 and performs communication according to the control of the SU control processing unit 14. The SU communication IF unit 15 generates the communication signal containing the data to be transferred, which is input from the SU control processing unit 14, in accordance with the communication protocol used in the network NW of the person-to-be-monitored monitoring support system MS The communication signal is transmitted to the other devices SV, SP, TA via the network NW. The SU communication IF unit 15 receives communication signals from other devices SV, SP, and TA via the network NW, extracts data from the received communication signals, and the SU control processing unit 14 can process the extracted data. The data is converted into data of the following format and output to the SU control processing unit 14. The SU communication IF unit 15 includes, for example, a communication interface circuit conforming to the IEEE 802.11 standard or the like.
 SU記憶部16は、SU制御処理部14に接続され、SU制御処理部14の制御に従って、各種の所定のプログラムおよび各種の所定のデータを記憶する回路である。前記各種の所定のプログラムには、例えば、センサ装置SUの各部11~13、15、16を当該各部の機能に応じてそれぞれ制御するSU制御プログラムや、センサ部11の出力に基づいて被監視者Obの睡眠状態を判定する睡眠状態判定プログラムや、センサ部11の出力に基づいて被監視者Obにおける所定の行動を判定して管理サーバ装置SVへ通知する行動判定プログラムや、前記睡眠状態判定プログラムの睡眠判定結果に応じて前記行動判定プログラムを制御する処理制御プログラムや、ナースコール受付操作部13でナースコールを受け付けた場合にその旨を管理サーバ装置SVへ通知し、SU音入出力部12等を用いることで端末装置SP、TAとの間で音声通話を行うナースコール処理プログラムや、カメラ111で生成した動画を、その動画を要求した端末装置SP、TAへストリーミングで配信するストリーミング処理プログラム等の制御処理プログラムが含まれる。前記各種の所定のデータには、自機の、センサ装置SUを特定し識別するための識別子であるセンサ装置識別子(センサID)、および、管理サーバ装置SVの通信アドレス等の各プログラムを実行する上で必要なデータ等が含まれる。SU記憶部16は、例えば不揮発性の記憶素子であるROM(Read Only Memory)や書き換え可能な不揮発性の記憶素子であるEEPROM(Electrically Erasable Programmable Read Only Memory)等を備える。そして、SU記憶部16は、前記所定のプログラムの実行中に生じるデータ等を記憶するいわゆるSU制御処理部14のワーキングメモリとなるRAM(Random Access Memory)等を含む。 The SU storage unit 16 is a circuit which is connected to the SU control processing unit 14 and stores various predetermined programs and various predetermined data according to the control of the SU control processing unit 14. The various predetermined programs include, for example, an SU control program that controls each of the units 11 to 13, 15, and 16 of the sensor device SU according to the function of each unit, and a monitored person based on the output of the sensor unit 11. A sleep state determination program for determining the sleep state of Ob, an action determination program for determining a predetermined action of the monitored person Ob based on the output of the sensor unit 11 and notifying the management server apparatus SV; Processing control program for controlling the behavior determination program according to the result of sleep determination, and when the nurse call acceptance operation unit 13 receives a nurse call, the management server SV is notified of that and the SU sound input / output unit 12 Nurse call processing program to make voice call with the terminal device SP, TA by using The video, terminal SP requested the video, which contains control program such as a streaming processing program broadcast streaming to TA. In the various predetermined data, each program such as a sensor device identifier (sensor ID) which is an identifier for identifying and identifying the sensor device SU of its own device, and a communication address of the management server device SV is executed. It contains the necessary data etc. above. The SU storage unit 16 includes, for example, a ROM (Read Only Memory), which is a non-volatile memory element, and an Electrically Erasable Programmable Read Only Memory (EEPROM), which is a rewritable non-volatile memory element. The SU storage unit 16 includes, for example, a random access memory (RAM) serving as a working memory of a so-called SU control processing unit 14 that stores data and the like generated during execution of the predetermined program.
 SU制御処理部14は、センサ装置SUの各部を当該各部の機能に応じてそれぞれ制御し、被監視者Obに関わる所定のイベントを検知してこの検知した前記イベントを管理サーバ装置SVへ通知し、端末装置SP、TAとの間で音声通話を行い、そして、動画を含む画像を生成して端末装置SP、TAへ動画を配信するための回路である。SU制御処理部14は、例えば、CPU(Central Processing Unit)およびその周辺回路を備えて構成される。SU制御処理部14は、前記制御処理プログラムが実行されることによって、センサ側制御部(SU制御部)141、睡眠状態判定部142、行動判定部143、処理制御部144、ナースコール処理部145およびストリーミング処理部146を機能的に備える。 The SU control processing unit 14 controls each unit of the sensor unit SU according to the function of each unit, detects a predetermined event related to the monitored person Ob, and notifies the management server apparatus SV of the detected event. , And a circuit for performing voice communication with the terminal devices SP and TA, and generating an image including a moving image to distribute the moving image to the terminal devices SP and TA. The SU control processing unit 14 includes, for example, a central processing unit (CPU) and peripheral circuits thereof. The SU control processing unit 14 executes the control processing program, whereby the sensor side control unit (SU control unit) 141, the sleep state determination unit 142, the action determination unit 143, the processing control unit 144, and the nurse call processing unit 145 And a streaming processing unit 146 functionally.
 SU制御部141は、センサ装置SUの各部11~13、15、16を当該各部の機能に応じてそれぞれ制御し、センサ装置SUの全体制御を司るものである。 The SU control unit 141 controls the respective units 11 to 13, 15, and 16 of the sensor unit SU according to the functions of the respective units, and controls the entire control of the sensor unit SU.
 睡眠状態判定部142は、センサ部11の出力、すなわち、前記第1センサの第1測定結果に基づいて被監視者Obの睡眠状態を判定するものである。より具体的には、睡眠状態判定部142は、前記第1センサの第1測定結果に基づいて、被監視者Obの睡眠の深さの度合いを表す睡眠度、および、前記睡眠度に対する信頼性の度合いを表す信頼度、を求める。本実施形態では、睡眠状態判定部142は、前記第1センサの一例であるドップラセンサ112のドップラ信号に基づいて睡眠状態を判定する。より具体的には、睡眠状態判定部142は、測定時点から過去へ、所定時間(例えば1分や2分等)内に測定されたドップラ信号を例えば高速フーリエ変換(FFT)し、このFFTで得られたスペクトルから、一般的な呼吸の周波数に対応する周波数帯における振幅の平均値を求め、この求めた平均値と睡眠度を決めるための閾値(睡眠度区分閾値)とを比較して睡眠度を求める。そして、睡眠状態判定部142は、この求めた睡眠度の継続時間を求め、この求めた睡眠度の継続時間と信頼度を決めるための閾値(信頼度区分閾値)とを比較して信頼度を求める。例えば、前記睡眠度区分閾値は、例えば、複数のサンプルを用いて適宜に1または複数で設定される。本実施形態では、覚醒状態であるか、睡眠状態であるかの別によって、行動判定部143を後述のように制御するので、前記睡眠度区分閾値は、覚醒か睡眠かを弁別する1つの値であって良く、あるいは、さらに、睡眠度を、眠りが浅い低睡眠度、眠りが中程度である中睡眠度、および、眠りが深い高睡眠度の3段階に分けるために、全3つの各値であって良い。また例えば、前記信頼度区分閾値は、例えば、複数のサンプルを用いて適宜に1または複数で設定される。本実施形態では、信頼度が相対的に高い高信頼度であるか、信頼度が相対的に低い低信頼度であるかの別によって、行動判定部143を後述のように制御するので、前記信頼度区分閾値は、高信頼度か低信頼度かを弁別する1つの値であって良く、あるいは、信頼度を、信頼度が相対的に高い高信頼度、信頼度が相対的に中程度である中信頼度、および、信頼度が相対的に低い低信頼度の3段階に分けるために、全2つの各値であって良い。睡眠状態判定部142は、その睡眠判定結果、本実施形態では、上述のように求めた睡眠度および信頼度を処理制御部144へ出力(通知)する。 The sleep state determination unit 142 determines the sleep state of the monitored person Ob based on the output of the sensor unit 11, that is, the first measurement result of the first sensor. More specifically, based on the first measurement result of the first sensor, the sleep state determination unit 142 indicates a sleep degree indicating the degree of depth of sleep of the person to be monitored Ob, and reliability with respect to the sleep degree. Find the degree of confidence that represents the degree of In the present embodiment, the sleep state determination unit 142 determines the sleep state based on the Doppler signal of the Doppler sensor 112 which is an example of the first sensor. More specifically, the sleep state determination unit 142 performs, for example, fast Fourier transform (FFT) on the Doppler signal measured within a predetermined time (for example, one minute or two minutes) from the measurement time point to the past. From the obtained spectrum, an average value of amplitudes in a frequency band corresponding to a general respiratory frequency is determined, and the determined average value is compared with a threshold for determining the sleep level (sleep level classification threshold) to obtain sleep. Find the degree. Then, the sleep state determination unit 142 obtains the duration of the obtained sleep degree, compares the duration of the obtained sleep degree with a threshold (reliability category threshold) for determining the reliability, and determines the reliability. Ask. For example, the sleep level classification threshold is appropriately set to one or more using, for example, a plurality of samples. In the present embodiment, the behavior determination unit 143 is controlled as described later depending on whether it is an awake state or a sleep state, so that the sleep level classification threshold is one value for discriminating whether awake or sleep. In order to divide the sleep degree into three stages of low sleep degree, low sleep degree, medium sleep degree, and high sleep degree, the sleep may be deep. It may be a value. Also, for example, the reliability classification threshold is appropriately set to one or more using a plurality of samples, for example. In the present embodiment, the behavior determination unit 143 is controlled as described later depending on whether the reliability is relatively high or the reliability is relatively low. The reliability classification threshold may be a single value for discriminating between high reliability and low reliability, or the reliability may be a high reliability with a relatively high reliability, or a relatively medium reliability. In order to divide into three stages of medium reliability and low reliability with relatively low reliability, all two values may be used. The sleep state determination unit 142 outputs (notifies) the sleep degree and the reliability obtained as described above to the processing control unit 144 as a result of the sleep determination, in the present embodiment.
 行動判定部143は、センサ部11の出力、すなわち、前記第2センサの第2測定結果に基づいて、被監視者Obにおける、予め設定された所定の行動を判定して管理サーバ装置SVへ通知するものである。本実施形態では、前記所定の行動は、上述したように、入床、起床、離床、転落、転倒および微体動異常である。これら入床、起床、離床、転落および転倒は、前記第1グループに属する第1行動であり、カメラ111の出力(対象画像)に基づいて判定され、微体動異常は、前記第2グループに属する第2行動であり、ドップラセンサ112の出力(ドップラ信号)に基づいて検知される。このため、行動判定部143は、機能的に、前記第1サブセンサの第1サブ測定結果に基づいて被監視者Obにおける所定の行動のうち、第1グループに属する第1行動を判定する第1サブ行動判定処理を実行する第1サブ行動判定部1431と、前記第2サブセンサの第2サブ測定結果に基づいて前記被監視者Obにおける所定の行動のうち、前記第1グループと異なる第2グループに属する第2行動を判定する第2サブ行動判定処理を実行する第2サブ行動判定部1432とを備えて構成される。より具体的には、本実施形態では、第1サブ行動判定部1431は、カメラ111の対象画像に基づいて第1行動(入床、起床、離床、転落および転倒)を判定して管理サーバ装置SVへ通知し、第2サブ行動判定部1432は、ドップラセンサ112のドップラ信号に基づいて第2行動(微体動異常)を判定して管理サーバ装置SVへ通知する。 The action determination unit 143 determines a predetermined action set in the monitored person Ob based on the output of the sensor unit 11, that is, the second measurement result of the second sensor, and notifies the management server SV of the predetermined action. It is In the present embodiment, the predetermined behavior is, as described above, entering, getting up, leaving, falling, falling, and movement abnormality. These entering, getting up, leaving, falling and falling are the first actions belonging to the first group, and are determined based on the output of the camera 111 (target image), and micro movement abnormality is to the second group. This is the second action to be included, and is detected based on the output (Doppler signal) of the Doppler sensor 112. Therefore, the action determination unit 143 functionally determines, based on the first sub-measurement result of the first sub-sensor, the first action belonging to the first group among the predetermined actions in the monitored person Ob. A second group different from the first group among the predetermined behaviors of the person to be monitored Ob based on the first sub behavior determination unit 1431 that executes the sub behavior determination process and the second sub measurement result of the second sub sensor And a second sub-action determination unit 1432 that executes a second sub-action determination process of determining a second action belonging to. More specifically, in the present embodiment, the first sub-action determining unit 1431 determines the first action (entering, getting up, leaving, falling, falling) based on the target image of the camera 111, and manages the management server device. The SV is notified, and the second sub-action determining unit 1432 determines the second action (microbody movement abnormality) based on the Doppler signal of the Doppler sensor 112 and notifies the management server SV.
 より詳しくは、入床、起床、離床、転落、転倒および微体動異常は、次のように判定されている。なお、対象画像中における寝具BDが配置されている領域(寝具BDの所在領域)は、前記各種データの1つとして予め記憶部16に記憶され、以下に説明における、各種の閾値や継続判定時間は、複数のサンプルから適宜に設定され、前記各種データの1つとして予め記憶部16に記憶されている。 More specifically, entering, getting up, leaving, falling, falling and abnormal movement are determined as follows. In addition, the area in which the bedding BD is arranged in the target image (the area where the bedding BD is located) is stored in advance in the storage unit 16 as one of the various data, and various threshold values and continuation determination time in the description below. Is appropriately set from a plurality of samples and stored in advance in the storage unit 16 as one of the various data.
 入床の判定では、第1サブ行動判定部1431は、前回の状態変数(行動判定結果を格納する変数)が「離床」であって、今回、カメラ111から取得した対象画像から例えば背景差分法によって抽出した人物領域が前記寝具BDの所在領域に完全に重なる場合(前記人物領域が完全に前記寝具BDの所在領域内となる場合)、入床と仮判定し、その完全重畳状態の継続時間が入床継続判定時間を超えて継続している場合に、入床有りと最終的に判定し、前記入床を検知する。そして、第1サブ行動判定部1431は、前記状態変数を「入床」で更新する。前記入床継続判定時間は、前記抽出した人物領域と前記寝具BDの所在領域との完全に重なりによって仮に判定された入床を、最終的に入床であると判定するための閾値である。 In the determination of admission, the first sub-action determining unit 1431 uses the background difference method, for example, from the target image acquired from the camera 111 when the previous state variable (variable storing the action determination result) is If the person area extracted by the above completely overlaps with the area where the bedding BD is located (if the person area is completely within the area where the bedding BD is located), it is provisionally determined as being in bed and the duration of the complete superposition state When it continues beyond the admission continuation determination time, it is finally determined that there is an admission, and the admission is detected. Then, the first sub behavior determination unit 1431 updates the state variable with “in bed”. The admission continuation determination time is a threshold value for ultimately determining that the bed, which is temporarily determined by completely overlapping the extracted person area and the location area of the bedding BD, is the bed.
 起床の判定では、第1サブ行動判定部1431は、前回の状態変数が「入床」であって、今回、カメラ111から取得した対象画像から抽出した人物領域が前記寝具BDの所在領域からはみ出しているはみ出し領域が起床判定閾値以上であって離床判定閾値未満である場合、起床と仮判定し、その起床判定閾値以上であって離床判定閾値未満である状態のはみ出し領域の継続時間が起床継続判定時間を超えている場合に、起床有りと最終的に判定し、前記起床を検知する。そして、第1サブ行動判定部1431は、前記状態変数を「起床」で更新する。前記起床判定閾値は、前記はみ出し領域の大きさによって起床であるか否かを判定するための閾値であり、前記離床判定閾値は、前記はみ出し領域の大きさによって離床であるか否かを判定するための閾値であり、前記離床判定閾値は、前記起床判定閾値より大きな値に設定される。前記起床継続判定時間は、前記はみ出し領域と前記起床判定閾値との比較によって仮に判定された起床を、最終的に起床であると判定するための閾値である。 In the wakeup determination, the first sub-action determination unit 1431 determines that the previous state variable is “bed entry”, and the person area extracted from the target image acquired from the camera 111 this time protrudes from the area of the bedding BD. If the overrun area is equal to or greater than the wakeup determination threshold and less than the departure judgment threshold, it is temporarily determined to be up, and the duration of the overrun area in a state above the wakeup determination threshold and less than the departure judgment threshold continues to be up If it exceeds the determination time, it is finally determined that there is wakeup, and the wakeup is detected. Then, the first sub behavior determination unit 1431 updates the state variable with “wake up”. The wakeup determination threshold is a threshold for determining whether or not to get up based on the size of the protrusion region, and the departure determination threshold is determined whether to leave the bed according to the size of the protrusion region The departure determination threshold is set to a value larger than the wake-up determination threshold. The wake-up continuation determination time is a threshold for determining that the wake-up temporarily determined by comparing the protrusion region and the wake-up determination threshold is finally a wake-up.
 離床の判定では、第1サブ行動判定部1431は、前回の状態変数が「入床」および「起床」のうちのいずれかであって、今回、カメラ111から取得した対象画像から抽出した人物領域が前記寝具BDの所在領域からはみ出しているはみ出し領域が離床判定閾値以上である場合、離床と仮判定し、その離床判定閾値以上である状態のはみ出し領域の継続時間が離床継続判定時間を超えている場合に、離床有りと最終的に判定し、前記離床を検知する。そして、第1サブ行動判定部1431は、前記状態変数を「離床」で更新する。前記離床継続判定時間は、前記はみ出し領域と前記離床判定閾値との比較によって仮に判定された離床を、最終的に離床であると判定するための閾値である。 In the determination of leaving, the first sub-action determining unit 1431 determines that the previous state variable is any one of “arriving” and “rising”, and the person area extracted from the target image acquired from the camera 111 this time When the overrun area which is out of the area of the bedding BD is equal to or more than the bed leaving determination threshold, it is temporarily determined to be bed leaving and the continuation time of the over bump area in the state of being over the bed leaving decision threshold exceeds the bed continuation determination time When it is determined, it is finally determined that there is a bed, and the bed is detected. Then, the first sub behavior determination unit 1431 updates the state variable with “bedding off”. The bed leaving continuation determination time is a threshold value for finally determining that bed leaving which has been tentatively determined by comparing the protruding area with the bed leaving determination threshold is bed leaving.
 転落の判定では、第1サブ行動判定部1431は、今回、カメラ111から取得した対象画像から抽出した人物領域の頭部領域の大きさが横臥姿勢判定閾値以下であって、前記頭部領域の大きさの変化速度が転落判定速度閾値以上であって、前記人物領域が前記寝具BDの所在領域の周囲に設定された転落判定領域内に在る場合に、転落有りと判定し、前記転落を検知する。前記横臥姿勢判定閾値は、横臥姿勢における頭部領域の大きさであるか否かを判別するための閾値である。前記転落判定速度閾値は、前記頭部領域の大きさの変化速度によって転落であるか否かを判別するための閾値である。 In the fall determination, the first sub-action determination unit 1431 determines that the size of the head region of the human region extracted from the target image acquired from the camera 111 at this time is equal to or less than the lying posture determination threshold. When the change speed of the size is equal to or more than the fall judgment speed threshold and the person area is in the fall judgment area set around the area where the bedding BD is located, it is judged that there is a fall and the fall is determined. Detect The lying posture determination threshold is a threshold for determining whether or not the size of the head region in the lying posture is. The fall determination speed threshold is a threshold for determining whether or not a fall is caused by the change speed of the size of the head region.
 転倒の判定では、第1サブ行動判定部1431は、今回、カメラ111から取得した対象画像から抽出した人物領域の頭部領域の大きさが横臥姿勢判定閾値以下であって、前記頭部領域の大きさの変化速度が転倒判定速度閾値以上であって、前記人物領域が前記寝具BDの所在領域および前記転落判定領域を除く領域に在る場合に、転倒有りと判定し、前記転倒を検知する。前記転倒判定速度閾値は、前記頭部領域の大きさの変化速度によって転倒であるか否かを判別するための閾値である。 In the fall determination, the first sub-action determination unit 1431 determines that the size of the head region of the person region extracted from the target image acquired from the camera 111 at this time is equal to or less than the lying posture determination threshold. When the change speed of the size is equal to or more than the fall determination speed threshold and the person area is in the area excluding the area where the bedding BD is located and the fall determination area, it is determined that there is a fall and the fall is detected. . The fall determination speed threshold value is a threshold value for determining whether or not it is a fall according to the change speed of the size of the head region.
 微体動異常では、第2サブ行動判定部1432は、前記第2サブセンサの一例であるドップラセンサ112のドップラ信号に基づいて微体動異常を判定する。より具体的には、第2サブ行動判定部1432は、睡眠状態判定部141と同様に、測定時点から過去へ、所定時間内に測定されたドップラ信号を例えば高速フーリエ変換(FFT)し、このFFTで得られたスペクトルから、一般的な呼吸の周波数に対応する周波数帯における振幅の平均値を求め、この求めた平均値と、微体動異常であるか否かを判定するための閾値(微体動異常判定閾値)とを比較し、前記求めた平均値が前記微体動異常判定閾値以下である場合、微体動異常と仮判定し、前記平均値が前記微体動異常判定閾値以下である状態の継続時間が微体動異常継続判定時間を超えて継続している場合に、微体動異常有りと最終的に判定し、前記微体動異常を検知する。そして、第2サブ行動判定部1432は、前記状態変数を「微体動異常」で更新する。前記微体動異常継続判定時間は、前記求めた平均値と前記微体動異常判定閾値との比較によって仮に判定された微体動異常を、最終的に微体動異常であると判定するための閾値である。 In the micro movement abnormality, the second sub behavior determination unit 1432 determines the micro movement abnormality based on the Doppler signal of the Doppler sensor 112 which is an example of the second sub sensor. More specifically, as in the sleep state determination unit 141, the second sub-action determination unit 1432 performs, for example, fast Fourier transform (FFT) on the Doppler signal measured within a predetermined time from the measurement time point to the past. From the spectrum obtained by FFT, an average value of amplitudes in a frequency band corresponding to a general respiration frequency is determined, and the determined average value and a threshold for determining whether or not there is an abnormality in the body movement ( The body movement abnormality judgment threshold value is compared, and if the above-mentioned average value is equal to or less than the body movement abnormality judgment threshold value, the body movement abnormality judgment judgment is provisionally judged, and the above average value is the body movement abnormality judgment threshold value When the continuation time of the state which is the following continues beyond the time of the determination of the continuation of the microbe movement abnormality, it is finally determined that there is the microbe movement abnormality, and the microbeose movement abnormality is detected. Then, the second sub action determination unit 1432 updates the state variable with “microbody movement abnormality”. In order that the micro movement abnormality continuation determination time may finally determine that the micro movement abnormality temporarily determined by comparing the average value thus determined and the micro movement abnormality determination threshold is a micro movement abnormality. Is the threshold of
 このように前記所定の行動を検知すると、行動判定部143は、被監視者Obに関わる所定のイベント(事象)の内容を表すイベント情報(事象情報)を収容した、前記イベントを通知するための第1イベント通知通信信号をSU通信IF部15で管理サーバ装置SVへ通知する。より詳しくは、行動判定部143は、自機のセンサID、前記イベントの内容を表すイベント情報、前記入床、起床、離床、転落および転倒の検知の際に用いられた対象画像を収容した通信信号(第1イベント通知通信信号)を、SU通信IF部15を介して管理サーバ装置SVへ送信する。前記イベント情報は、本実施形態では、入床、起床、離床、転落、転倒、微体動異常およびナースコール(NC)のうちの1または複数であり、ここでは、行動判定部143は、検知した入床、起床、離床、転落、転倒および微体動異常のうちの1または複数を前記イベント情報として第1イベント通知通信信号に収容する。前記画像は、静止画および動画のうちの少なくとも一方であって良く、本実施形態では、後述するように、まず、静止画が報知され、ユーザの要求に応じて動画が配信される。なお、まず、動画が配信されても良く、また、静止画および動画が送信され、画面分割で静止画および動画が端末装置SP、TAに表示されても良い。 As described above, when the predetermined action is detected, the action determination unit 143 receives event information (event information) representing the contents of a predetermined event (event) related to the monitored person Ob and notifies the event. The SU communication IF unit 15 notifies the management server SV of the first event notification communication signal. More specifically, the action determination unit 143 is a communication that contains the target image used in the detection of the sensor ID of the own device, the event information indicating the content of the event, the entering, getting up, leaving, falling and falling. A signal (first event notification communication signal) is transmitted to the management server SV via the SU communication IF unit 15. In the present embodiment, the event information is one or more of entering, getting up, leaving, falling, falling, falling-body movement abnormality and nurse call (NC), and here, the action determination unit 143 detects The first event notification communication signal is stored as the event information, one or more of the entering, getting up, leaving, falling, falling, and movement abnormality. The image may be at least one of a still image and a moving image. In the present embodiment, as described later, the still image is first notified, and the moving image is distributed according to the user's request. First, a moving image may be distributed, or a still image and a moving image may be transmitted, and the still image and the moving image may be displayed on the terminal device SP, TA by screen division.
 処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御するものである。本実施形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて第1および第2サブ行動判定部1431、1432のうちの少なくともいずれかを制御する。より具体的には、本実施形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて、第1サブ行動判定部1431における前記第1サブ行動判定処理を実行するか否か、および、第2サブ行動判定部1432における前記第2サブ行動判定処理を実行するか否かを制御する。より詳しくは、例えば、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431に前記第1サブ行動判定処理を実行させず、そして、第2サブ行動判定部1432に前記第2サブ行動判定処理を実行させる。前記睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合とは、前記睡眠度が予め設定された所定の睡眠判定閾値以上である場合、または、前記信頼度が予め設定された所定の信頼判定閾値以上である場合である。また例えば、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431に前記第1サブ行動判定処理を実行させ、そして、第2サブ行動判定部1432に前記第2サブ行動判定処理を実行させない。睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合とは、前記睡眠度が予め設定された所定の睡眠判定閾値未満であって、かつ、前記信頼度が予め設定された所定の信頼判定閾値未満である場合である。 The process control unit 144 controls the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142. In the present embodiment, the process control unit 144 controls at least one of the first and second sub behavior determination units 1431 and 1432 according to the sleep determination result of the sleep state determination unit 142. More specifically, in the present embodiment, the process control unit 144 performs the first sub-action determination process in the first sub-action determination unit 1431 according to the sleep determination result of the sleep state determination unit 142. It controls whether or not to execute the second sub action determination process in the second sub action determination unit 1432. More specifically, for example, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 causes the first sub behavior determination unit 1431 to execute the process. The first sub behavior determination process is not executed, and the second sub behavior determination unit 1432 is caused to execute the second sub behavior determination process. When the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the sleep degree is greater than or equal to a predetermined sleep determination threshold set in advance, or In this case, the degree of reliability is equal to or more than a predetermined reliability determination threshold value set in advance. Further, for example, when the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are low, the process control unit 144 executes the first sub behavior determination process to the first sub behavior determination unit 1431. And the second sub-action determining unit 1432 does not execute the second sub-action determining process. When the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are low, the sleep degree is less than a predetermined sleep determination threshold set in advance, and the reliability is set in advance. In this case, it is less than the predetermined confidence determination threshold.
 ナースコール処理部145は、ナースコール受付操作部13でナースコールを受け付けた場合にその旨を前記所定のイベントの他の一例として収容した第1イベント通知通信信号を管理サーバ装置SVへ通知し、SU音入出力部12等を用いることで端末装置SP、TAとの間で音声通話を行うものである。より具体的には、ナースコール処理部145は、ナースコール受付操作部13が入力操作されると、自機のセンサIDおよび前記イベント情報としてナースコールを収容した第1イベント通知通信信号をSU通信IF部15を介して管理サーバ装置SVへ送信する。そして、ナースコール処理部145は、SU音入出力部12等を用い、端末装置SP、TAとの間で例えばVoIP(Voice over Internet Protocol)によって音声通話を行う。 When the nurse call reception operation unit 13 receives a nurse call, the nurse call processing unit 145 notifies the management server apparatus SV of a first event notification communication signal that accommodates this as another example of the predetermined event. By using the SU sound input / output unit 12 or the like, voice communication is performed with the terminal devices SP and TA. More specifically, when the nurse call reception operation unit 13 is operated for input, the nurse call processing unit 145 performs SU communication of the first event notification communication signal containing the nurse call as the sensor ID of the own device and the event information. It transmits to the management server apparatus SV via the IF unit 15. Then, the nurse call processing unit 145 uses the SU sound input / output unit 12 or the like to make a voice call, for example, by using Voice over Internet Protocol (VoIP) with the terminal devices SP and TA.
 SUストリーミング処理部146は、通信IF部3を介して固定端末装置SPまたは携帯端末装置TAから動画の配信の要求があった場合に、この要求のあった固定端末装置SPまたは携帯端末装置TAへ、カメラ11で生成した動画(例えばライブの動画)をストリーミング再生でSU通信IF部15を介して配信するものである。 When there is a request for distribution of a moving image from the fixed terminal apparatus SP or the portable terminal apparatus TA via the communication IF unit 3, the SU streaming processing unit 146 sends the requested fixed terminal apparatus SP or the portable terminal apparatus TA , And distributes a moving image (for example, a live moving image) generated by the camera 11 through the SU communication IF unit 15 by streaming reproduction.
 図1には、一例として、被監視者Obに対応して設けられた、4個の第1ないし第4センサ装置SU-1~SU-4が示されており、第1センサ装置SU-1は、被監視者Obの一人であるAさんOb-1の居室RM-1(不図示)に配設され、第2センサ装置SU-2は、被監視者Obの一人であるBさんOb-2の居室RM-2(不図示)に配設され、第3センサ装置SU-3は、被監視者Obの一人であるCさんOb-3の居室RM-3(不図示)に配設され、そして、第4センサ装置SU-4は、被監視者Obの一人であるDさんOb-4の居室RM-4(不図示)に配設されている。 Four first to fourth sensor devices SU-1 to SU-4 provided corresponding to the monitored person Ob are shown in FIG. 1 as an example, and the first sensor device SU-1 is shown. Is disposed in the room RM-1 (not shown) of Mr. A's Ob-1 who is one of the monitored persons Ob, and the second sensor device SU-2 is Mr. B's Ob- who is one of the monitored persons Ob. The third sensor device SU-3 is disposed in a living room RM-2 (not shown) of 2 and is disposed in a living room RM-3 (not shown) of Mr. C's Ob-3 who is one of the monitored persons Ob. The fourth sensor device SU-4 is disposed in a living room RM-4 (not shown) of Mr. D's Ob-4 who is one of the monitored persons Ob.
 なお、このような構成のセンサ装置SUにおいて、センサ部11、睡眠状態判定部142、行動判定部143および処理制御部144は、行動検知装置の一例を構成する。 In the sensor device SU having such a configuration, the sensor unit 11, the sleep state determination unit 142, the behavior determination unit 143, and the process control unit 144 constitute an example of the behavior detection device.
 管理サーバ装置SVは、ネットワークNWを介して他の装置SU、TA、SPと通信する通信機能を備え、センサ装置SUから前記第1イベント通知通信信号で前記所定のイベントの通知を受けると、被監視者Obに対する監視に関する情報(監視情報)を管理し、前記所定のイベントを第2イベント通知通信信号で所定の端末装置SP、TAへ通知(再通知、報知、送信)し、クライアント(本実施形態では端末装置SP、TA等)の要求に応じたデータを前記クライアントに提供し、被監視者監視支援システムMS全体を管理する装置である。前記監視情報は、本実施形態では、例えば、前記第1イベント通知通信信号の送信元であるセンサ装置SUのセンサID、前記所定のイベント(センサ装置SUで検知した所定の行動の種類やセンサ装置SUで受け付けたナースコール)、被監視者Obの画像、および、前記通知を受けた時刻(通知時刻)等であり、これらは、互いに対応付けられて記憶(記録、管理)される。前記第2イベント通知通信信号には、これら監視情報が収容される。前記第2イベント通知通信信号は、例えば同報通信(ブロードキャストやマルチキャスト)で送信されて良く、また例えば、前記第1イベント通知通信信号の送信元であるセンサ装置SUに対応付けられた1または複数の端末装置SP、TAに送信されて良い。このような管理サーバ装置SVは、例えば、通信機能付きのコンピュータによって構成可能である。 The management server SV has a communication function of communicating with the other devices SU, TA, and SP via the network NW, and receives the notification of the predetermined event from the sensor device SU by the first event notification communication signal. Manages information (monitoring information) related to monitoring of the observer Ob, and notifies (predicts, notifies, transmits) the predetermined event to a predetermined terminal apparatus SP and TA with a second event notification communication signal, and executes a client (this implementation) In the embodiment, the data is provided to the client according to the request of the terminal device (SP, TA, etc.) to manage the entire monitored person monitoring support system MS. In the present embodiment, the monitoring information includes, for example, a sensor ID of the sensor device SU that is a transmission source of the first event notification communication signal, the predetermined event (a type of predetermined action detected by the sensor device SU, and a sensor device The image includes the nurse call accepted by SU, the image of the monitored person Ob, and the time (notification time) when the notification is received, and these are stored (recorded, managed) in association with one another. The monitoring information is accommodated in the second event notification communication signal. The second event notification communication signal may be transmitted, for example, by broadcast communication (broadcast or multicast), or, for example, one or more associated with the sensor device SU that is the transmission source of the first event notification communication signal. May be sent to the terminal device SP, TA. Such a management server SV can be configured, for example, by a computer with a communication function.
 固定端末装置SPは、ネットワークNWを介して他の装置SU、SV、TAと通信する通信機能、所定の情報を表示する表示機能、および、所定の指示やデータを入力する入力機能等を備え、管理サーバ装置SVや携帯端末装置TAに与える所定の指示やデータを入力したり、管理サーバ装置SVからの通知によってセンサ装置SUで得られた前記監視情報を表示したり等することによって、被監視者監視支援システムMSのユーザインターフェース(UI)として機能する機器である。このような固定端末装置SPは、例えば、通信機能付きのコンピュータによって構成可能である。 The fixed terminal device SP includes a communication function of communicating with other devices SU, SV, and TA via the network NW, a display function of displaying predetermined information, and an input function of inputting predetermined instructions and data. Monitored by, for example, inputting predetermined instructions and data given to the management server SV and the portable terminal TA, displaying the monitoring information obtained by the sensor SU by notification from the management server SV, etc. The device functions as a user interface (UI) of the person monitoring support system MS. Such fixed terminal apparatus SP can be configured, for example, by a computer with a communication function.
 携帯端末装置TAは、ネットワークNWを介して他の装置SV、SP、SUと通信する通信機能、所定の情報を表示する表示機能、所定の指示やデータを入力する入力機能、および、音声通話を行う通話機能等を備え、管理サーバ装置SVやセンサ装置SUに与える所定の指示やデータを入力したり、管理サーバ装置SVからの通知によってセンサ装置SUで得られた前記監視情報を表示したり、センサ装置SUとの間で音声通話によってナースコールの応答や声かけしたり等するための機器である。このような携帯端末装置TAは、例えば、いわゆるタブレット型コンピュータやスマートフォンや携帯電話機等の、持ち運び可能な通信端末装置によって構成可能である。 The portable terminal device TA has a communication function of communicating with other devices SV, SP, SU via the network NW, a display function of displaying predetermined information, an input function of inputting predetermined instructions and data, and a voice call. A call function to be performed is provided, and predetermined instructions and data given to the management server device SV and the sensor device SU are input, or the monitoring information obtained by the sensor device SU is displayed by notification from the management server device SV, It is a device for answering or calling a nurse call by voice communication with the sensor unit SU. Such a portable terminal device TA can be configured by, for example, a portable communication terminal device such as a so-called tablet computer, a smartphone, or a mobile phone.
 次に、本実施形態の動作について説明する。図3は、サービスモードにおける、前記センサ装置の動作を示すフローチャートである。図4は、図3に示す睡眠判定結果に応じた行動判定処理における、前記センサ装置の動作を示すフローチャートである。図5は、図4に示す転落判定処理における、前記センサ装置の動作を示すフローチャートである。図6は、図4に示す転倒判定処理における、前記センサ装置の動作を示すフローチャートである。図7は、図4に示す入床判定処理における、前記センサ装置の動作を示すフローチャートである。図8は、図4に示す起床判定処理における、前記センサ装置の動作を示すフローチャートである。図9は、図4に示す離床判定処理における、前記センサ装置の動作を示すフローチャートである。図10は、図4に示す微体動異常判定処理における、前記センサ装置の動作を示すフローチャートである。図11は、前記端末装置に表示されるメイン画面の一例を示す図である。図12は、前記端末装置に表示される第1設定画面の一例を示す図である。図13は、前記端末装置に表示される第2設定画面の一例を示す図である。図14は、前記端末装置に表示される監視情報画面の一例を示す図である。 Next, the operation of this embodiment will be described. FIG. 3 is a flow chart showing the operation of the sensor device in the service mode. FIG. 4 is a flowchart showing an operation of the sensor device in the action determination process according to the sleep determination result shown in FIG. FIG. 5 is a flowchart showing an operation of the sensor device in the fall determination process shown in FIG. FIG. 6 is a flowchart showing the operation of the sensor device in the fall determination process shown in FIG. FIG. 7 is a flow chart showing the operation of the sensor device in the entrance determination process shown in FIG. FIG. 8 is a flowchart showing an operation of the sensor device in the wakeup determination process shown in FIG. FIG. 9 is a flowchart showing the operation of the sensor device in the bed leaving determination process shown in FIG. 4. FIG. 10 is a flowchart showing the operation of the sensor device in the micro movement abnormality determination process shown in FIG. 4. FIG. 11 is a diagram showing an example of a main screen displayed on the terminal device. FIG. 12 is a diagram showing an example of a first setting screen displayed on the terminal device. FIG. 13 is a diagram showing an example of a second setting screen displayed on the terminal device. FIG. 14 is a diagram showing an example of a monitoring information screen displayed on the terminal device.
 上記構成の被監視者監視支援システムMSでは、各装置SU、SV、SP、TAは、電源が投入されると、必要な各部の初期化を実行し、その稼働を始める。センサ装置SUでは、その制御処理プログラムの実行によって、SU制御処理部14には、SU制御部141、睡眠状態判定部142、行動判定部143、処理制御部144、ナースコール処理部145およびストリーミング処理部146が機能的に構成され、行動判定部143には、第1サブ行動判定部1431および第2サブ行動判定部1432が機能的に構成される。 In the person-to-be-monitored person monitoring support system MS configured as described above, when the power is turned on, each of the devices SU, SV, SP, and TA performs initialization of necessary parts and starts its operation. In the sensor unit SU, the SU control processing unit 14 includes an SU control unit 141, a sleep state determination unit 142, an action determination unit 143, a process control unit 144, a nurse call processing unit 145, and a streaming process. The unit 146 is functionally configured, and in the behavior determination unit 143, the first sub behavior determination unit 1431 and the second sub behavior determination unit 1432 are functionally configured.
 電源が投入され、その稼働を始めると、端末装置SP、TA、例えば固定端末装置SPでは、例えば看護師や介護士等の監視者(ユーザ)によるログイン操作が受け付けられる。前記ログイン操作では、前記監視者(ユーザ)におけるユーザ名等のID等が入力され、その記憶部に記憶される。ログイン操作によって固定端末装置SPが被監視者監視支援システムMSにログインすると、固定端末装置SPは、その表示部にメイン画面を表示する。 When the power is turned on and the operation is started, the terminal device SP, TA, for example, the fixed terminal device SP accepts a log-in operation by a supervisor (user) such as a nurse or a caregiver. In the login operation, an ID or the like of a user name or the like of the monitor (user) is input and stored in the storage unit. When the fixed terminal device SP logs in to the monitored person monitoring support system MS by the login operation, the fixed terminal device SP displays a main screen on the display unit.
 前記メイン画面は、固定端末装置SPの動作モードを受け付けるための画面である。このメイン画面21は、例えば、図11に示すように、「サービスモード」ボタン211と、「設定モード」ボタン212とを備える。「サービスモード」ボタン211は、被監視者Obを監視するサービスモードを固定端末装置SPの動作モードとして要求するためのボタンであって、固定端末装置SPをサービスモードで動作させる指示(命令、コマンド)を入力するためのボタンである。「設定モード」ボタン212は、予め規定された所定のパラメータを設定する設定モードを固定端末装置SPの動作モードとして要求するためのボタンであって、固定端末装置SPを設定モードで動作させる指示を入力するためのボタンである。 The main screen is a screen for receiving the operation mode of the fixed terminal device SP. For example, as shown in FIG. 11, the main screen 21 includes a “service mode” button 211 and a “setting mode” button 212. The “service mode” button 211 is a button for requesting a service mode for monitoring the monitored person Ob as the operation mode of the fixed terminal device SP, and an instruction to operate the fixed terminal device SP in the service mode (instruction, command ) Is a button for inputting. The “setting mode” button 212 is a button for requesting a setting mode for setting a predetermined parameter defined in advance as an operation mode of the fixed terminal apparatus SP, and instructs the fixed terminal apparatus SP to operate in the setting mode. It is a button for inputting.
 このようなメイン画面21を表示している際に、固定端末装置SPの入力部から入力操作を受け付けると、固定端末装置SPは、その制御処理部によって、前記受け付けた入力操作が、「サービスモード」ボタン211の入力操作であるか、「設定モード」ボタン212の入力操作であるか、を判定する。 When displaying the main screen 21 as described above, when receiving an input operation from the input unit of the fixed terminal device SP, the fixed terminal device SP receives the input operation received by the control processing unit as “service mode It is determined whether it is an input operation of the “” button 211 or an input operation of the “setting mode” button 212.
 この判定の結果、前記受け付けた入力操作が「サービスモード」ボタン211の入力操作である場合には、固定端末装置SPは、被監視者Obを監視するように、サービスモードで動作を始める。前記入力操作は、例えば、マウスの移動によってカーソルが「サービスモード」ボタン211上に移動され、マウスが左クリックされる操作である。 As a result of the determination, when the received input operation is an input operation of the “service mode” button 211, the fixed terminal device SP starts operation in the service mode so as to monitor the monitored person Ob. The input operation is, for example, an operation in which the cursor is moved onto the “service mode” button 211 by the movement of the mouse and the mouse is left-clicked.
 一方、前記判定の結果、前記受け付けた入力操作が「設定モード」ボタン212の入力操作である場合には、固定端末装置SPは、前記所定のパラメータを設定するように、設定モードで動作を始める。 On the other hand, as a result of the determination, when the received input operation is an input operation of the “setting mode” button 212, the fixed terminal device SP starts operation in the setting mode so as to set the predetermined parameter. .
 設定モードでは、上述のように、「設定モード」ボタン212の入力操作を受け付けると、固定端末装置SPは、その表示部に設定画面を表示する。なお、本実施形態では、ユーザ名等のIDを用いて認証が実行され、設定モードには、その権限あるユーザ(設定者)のみ入ることができる。 In the setting mode, as described above, when the input operation of the “setting mode” button 212 is received, the fixed terminal device SP displays a setting screen on the display unit. In the present embodiment, authentication is performed using an ID such as a user name, and only the authorized user (the setter) can enter the setting mode.
 前記設定画面は、前記所定のパラメータを入力して設定するための画面である。前記所定のパラメータは、本実施形態では、前記所定のイベントを適切に判定するために用いられる設定値であり、例えば画像から被監視者Obを抽出するための撮像条件、および、前記判定のための閾値(判定閾値)等である。より具体的には、本実施形態では、前記所定のパラメータは、フレームレート、明るさレベル、天井高さ、および、寝具BDの所在領域である。前記設定画面は、本実施形態では、2個の第1および第2設定画面を備える。前記第1設定画面は、パラメータ設定の対象となる被監視者Ob(センサ装置SU)を入力(決定)し、前記所定のパラメータのうち、主に、数値的なパラメータ(本実施形態ではフレームレート、明るさレベルおよび天井高さ)を入力して設定するための画面である。前記第2設定画面は、前記所定のパラメータのうち、数値的なパラメータを除く他のパラメータ(本実施形態では寝具BDの所在領域)を入力して設定するための画面である。 The setting screen is a screen for inputting and setting the predetermined parameter. In the present embodiment, the predetermined parameter is a setting value used to appropriately determine the predetermined event, and for example, an imaging condition for extracting a monitored person Ob from an image, and the determination Threshold (determination threshold) or the like. More specifically, in the present embodiment, the predetermined parameters are a frame rate, a brightness level, a ceiling height, and an area where the bedding BD is located. The setting screen comprises two first and second setting screens in the present embodiment. The first setting screen inputs (determines) a person to be monitored Ob (sensor device SU) to be a target of parameter setting, and mainly the numerical parameters (the frame rate in the present embodiment) among the predetermined parameters. , Brightness level and ceiling height) are input and set. The second setting screen is a screen for inputting and setting other parameters (in the present embodiment, the location area of the bedding BD) other than numerical parameters among the predetermined parameters.
 より具体的には、その入力部から「設定モード」ボタン212の入力操作を受け付けると、固定端末装置SPは、その制御処理部によって、その表示部4に前記第1設定画面を表示する。 More specifically, when the input operation of the “setting mode” button 212 is received from the input unit, the fixed terminal device SP causes the control processing unit to display the first setting screen on the display unit 4.
 この第1設定画面22は、例えば、図12に示すように、被監視者Obの名前を入力して設定するための被監視者名入力設定領域221と、フレームレートを入力して設定するためのフレームレート入力設定領域222と、明るさレベルを入力して設定するための明るさレベル入力設定領域223と、天井高さを入力して設定するための天井高さ入力設定領域224と、「エリア設定」ボタン225と、「メイン画面に戻る」ボタン226とを備える。各入力設定領域221~224は、パラメータ値の入力欄と、前記入力欄に入力されたパラメータ値でパラメータを記憶し設定する「更新」ボタンとを備える。「エリア設定」ボタン225は、第2設定画面を要求するためのボタンであって、固定端末装置SPに第2設定画面を表示させる指示を入力するためのボタンである。「メイン画面に戻る」ボタン226は、メイン画面21を要求するためのボタンであって、固定端末装置SPにメイン画面21を表示させる指示を入力するためのボタンである。「メイン画面に戻る」ボタン226は、さらに、その記憶部にパラメータとして記憶された各パラメータ値を管理サーバ装置SVを介してセンサ装置SUに設定するためのボタンでもある。 For example, as shown in FIG. 12, this first setting screen 22 is for inputting and setting a frame rate and a monitor person's name input setting area 221 for inputting and setting the name of the monitoree Ob. Frame rate input setting area 222, a brightness level input setting area 223 for inputting and setting a brightness level, a ceiling height input setting area 224 for inputting and setting a ceiling height, An area setting button 225 and a "return to main screen" button 226 are provided. Each of the input setting areas 221 to 224 includes an input field for parameter values, and an “update” button for storing and setting parameters based on the parameter values input to the input fields. The “area setting” button 225 is a button for requesting the second setting screen, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the second setting screen. The “return to main screen” button 226 is a button for requesting the main screen 21, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the main screen 21. The “return to main screen” button 226 is also a button for setting each parameter value stored as a parameter in the storage unit to the sensor unit SU via the management server unit SV.
 この図12に示す例では、これら各入力設定領域221~224における前記各入力欄には、それぞれ、「Aさん」、「15fps」、「5」および「2.4m」が入力されている。被監視者名入力設定領域221の「更新」ボタンが入力操作されると、固定端末装置SPの制御処理部によって、パラメータ設定の対象が「Aさん」に設定され、固定端末装置SPの記憶部に記憶される。なお、「Aさん」を監視するセンサ装置SUあるいはそのセンサIDがパラメータ設定の対象として入力され設定されても良い。フレームレート入力設定領域222の「更新」ボタンが入力操作されると、固定端末装置SPの制御処理部によって、フレームレートが「15fps」に設定され、固定端末装置SPの記憶部に記憶される。本実施形態では、センサ装置SUは、フレームごとに、あるいは、数フレームおきに、イベントの検出動作を実行するので、フレームレートを設定することによって、イベントの検出動作の実行間隔が規定される。明るさレベル入力設定領域223の「更新」ボタンが入力操作されると、固定端末装置SPの制御処理部によって、明るさレベルが「5」に設定され、固定端末装置SPの記憶部に記憶される。センサ装置SUで撮像される対象画像が暗すぎたり、明るすぎたりすると、対象画像から被監視者Obの人物領域が抽出し難くなり、人物の識別もし難くなる。明るさレベルを設定することによって、適正な露出で対象画像が生成でき、前記人物領域がより適切に抽出でき、人物の識別がより適切にできる。天井高さ入力設定領域224の「更新」ボタンが入力操作されると、固定端末装置SPの制御処理部によって、天井高さが「2.4m」に設定され、固定端末装置SPの記憶部に記憶される。センサ装置SUが基準の天井高さ(例えば2.4m等)の天井に配設された場合における前記横臥姿勢判定閾値等がデフォルト値としてセンサ装置SUに予め記憶されている。天井高さを設定することによって、デフォルト値の横臥姿勢判定閾値が補正され、この補正された横臥姿勢判定閾値が上述した前記所定の行動の検知に用いられる。天井高さを設定することによって、実際に設置されたセンサ装置SUの状況に応じて横臥姿勢判定閾値が調整できる。 In the example shown in FIG. 12, "Mr. A", "15 fps", "5" and "2.4 m" are input in the respective input fields in the respective input setting areas 221 to 224. When the "update" button in the monitored person name input setting area 221 is operated, the control processing unit of the fixed terminal device SP sets the target of parameter setting to "Mr. A", and the storage unit of the fixed terminal device SP Is stored in Note that the sensor device SU that monitors “person A” or its sensor ID may be input and set as a parameter setting target. When the “update” button in the frame rate input setting area 222 is input, the control processing unit of the fixed terminal device SP sets the frame rate to “15 fps” and is stored in the storage unit of the fixed terminal device SP. In the present embodiment, since the sensor unit SU performs the event detection operation every frame or every few frames, setting the frame rate defines the execution interval of the event detection operation. When the “update” button in the brightness level input setting area 223 is input, the control processing unit of the fixed terminal device SP sets the brightness level to “5”, and is stored in the storage unit of the fixed terminal device SP. Ru. If the target image captured by the sensor unit SU is too dark or too bright, it becomes difficult to extract the person area of the person to be monitored Ob from the target image, and it becomes difficult to identify a person. By setting the brightness level, a target image can be generated with a proper exposure, the person area can be extracted more appropriately, and the person can be more appropriately identified. When the “update” button in the ceiling height input setting area 224 is input, the control processing unit of the fixed terminal device SP sets the ceiling height to “2.4 m”, and the storage unit of the fixed terminal device SP is It is memorized. When the sensor unit SU is disposed on a ceiling with a standard ceiling height (for example, 2.4 m or the like), the recumbent posture determination threshold value or the like in the case where the sensor unit SU is disposed is stored in advance in the sensor unit SU as a default value. By setting the ceiling height, the recumbent posture determination threshold of the default value is corrected, and the corrected recumbent posture determination threshold is used for the detection of the predetermined action described above. By setting the ceiling height, the lying posture determination threshold can be adjusted in accordance with the situation of the sensor device SU actually installed.
 「エリア設定」ボタン225の入力操作を受け付けると、固定端末装置SPは、その表示部に前記第2設定画面を表示する。 When the input operation of the “area setting” button 225 is received, the fixed terminal device SP displays the second setting screen on its display unit.
 この第2設定画面23は、例えば、図13に示すように、対象画像を表示する対象画像表示領域231と、「更新」ボタン232と、「戻る」ボタン233を備える。対象画像表示領域231には、第1設定画面22の被監視者名入力設定領域221に入力された被監視者Obの名前を持つ被監視者Ob、を監視するセンサ装置SU、のカメラ111で生成された対象画像が表示される。「更新」ボタン232は、対象画像表示領域231に表示された対象画像を参照しながらその入力部から入力された領域でパラメータの設定を要求するためのボタンである。「戻る」ボタン233は、第1設定画面22を要求するためのボタンであって、固定端末装置SPに第1設定画面22を表示させる指示を入力するためのボタンである。 The second setting screen 23 includes, for example, a target image display area 231 for displaying a target image, an “update” button 232, and a “return” button 233, as shown in FIG. In the target image display area 231, the camera 111 of the sensor device SU for monitoring the monitored person Ob having the name of the monitored person Ob inputted in the monitored person name input setting area 221 of the first setting screen 22. The generated target image is displayed. The “update” button 232 is a button for requesting setting of parameters in the area input from the input unit while referring to the target image displayed in the target image display area 231. The “return” button 233 is a button for requesting the first setting screen 22, and is a button for inputting an instruction to cause the fixed terminal apparatus SP to display the first setting screen 22.
 このような第2設定画面23では、第2設定画面23が表示されると、固定端末装置SPは、寝具BDの所在領域の入力を待つ。ユーザによってその入力部から寝具BDの所在領域の4頂点が入力され、「更新」ボタン232が入力操作されると、固定端末装置SPの制御処理部によって、寝具BDの所在領域の4頂点の各画素位置が入力され、その記憶部に記憶され、寝具BDの所在領域が設定される。図13には、このユーザによって寝具BDの所在領域の4頂点が入力された様子が図示されている。 In the second setting screen 23 as described above, when the second setting screen 23 is displayed, the fixed terminal device SP waits for the input of the location area of the bedding BD. When the user inputs four vertices of the location area of the bedding BD from the input unit and performs an input operation of the "update" button 232, the control processing unit of the fixed terminal SP determines The pixel position is input, stored in the storage unit, and the location area of the bedding BD is set. FIG. 13 illustrates how the user inputs the four vertices of the area where the bedding BD is located.
 そして、「戻る」ボタン233が入力操作されると、第1設定画面22がその表示部4に表示される。さらに、「メイン画面に戻る」ボタン226が入力操作されると、メイン画面21が表示され、この際に、固定端末装置SPは、その記憶部にパラメータとして記憶された各パラメータ値を管理サーバ装置SVを介してセンサ装置SUに送信し、センサ装置SUは、この受信した各パラメータ値を自機SUのSU記憶部16に記憶して設定する。これによって前記所定のパラメータの各値がセンサ装置SUに設定される。 Then, when the “Return” button 233 is operated, the first setting screen 22 is displayed on the display unit 4. Furthermore, when the “Return to main screen” button 226 is operated, the main screen 21 is displayed. At this time, the fixed terminal device SP manages each parameter value stored as a parameter in its storage unit as a management server device The sensor unit SU transmits the parameter values to the sensor unit SU via the SV, and stores and sets the received parameter values in the SU storage unit 16 of the own unit SU. As a result, each value of the predetermined parameter is set in the sensor unit SU.
 一方、上述のメイン画面21において、「サービスモード」ボタン211の入力操作を受け付けると、固定端末装置SPは、サービスモードで動作し、被監視者監視支援システムMSは、次のように動作することによって被監視者Obを監視している。 On the other hand, when the input operation of the “service mode” button 211 is received on the main screen 21 described above, the fixed terminal device SP operates in the service mode, and the monitored person monitoring support system MS operates as follows. Monitors the monitored person Ob.
 被監視者Obの監視では、センサ装置SUは、各フレームごとに、あるいは、数フレームおきに、次のように動作することで、被監視者Obにおける所定の動作を検知し、また、ナースコールの受付の有無を判定している。 In the monitoring of the monitored person Ob, the sensor device SU detects a predetermined operation in the monitored person Ob by operating as follows for each frame or every few frames, and a nurse call is performed. The presence or absence of acceptance of is determined.
 図3において、まず、センサ装置SUは、SU制御処理部14の睡眠状態判定部142によって、センサ部11におけるドップラセンサ112のドップラ信号に基づく被監視者Obに対する睡眠状態判定処理を実行する(S1)。より具体的には、睡眠状態判定部142は、現時点から過去へ、所定時間内、例えば1分以内に測定されたドップラ信号をSU記憶部16から取得する。続いて、睡眠状態判定部142は、この取得した1分間のドップラ信号を例えば高速フーリエ変換(FFT)する。続いて、睡眠状態判定部142は、このFFTで得られたスペクトルから、一般的な呼吸の周波数に対応する周波数帯における振幅の平均値を求める。続いて、睡眠状態判定部142は、この求めた平均値と前記睡眠度区分閾値とを比較して睡眠度を求め、この求めた睡眠度を時系列でSU記憶部16に記憶する。続いて、睡眠状態判定部142は、SU記憶部16を参照することによって、この求めた睡眠度の継続時間を求める。続いて、睡眠状態判定部142は、この求めた睡眠度の継続時間と前記信頼度区分閾値とを比較して信頼度を求める。例えば、本実施形態では、前記睡眠度区分閾値は、覚醒か睡眠かを弁別する1つの値であり、前記信頼度区分閾値は、高信頼度か低信頼度かを弁別する1つの値である。そして、睡眠状態判定部142は、その睡眠判定結果、本実施形態では、上述のように求めた睡眠度および信頼度を処理制御部144へ出力(通知)する。 In FIG. 3, first, the sensor unit SU causes the sleep state determination unit 142 of the SU control processing unit 14 to execute a sleep state determination process on the monitored person Ob based on the Doppler signal of the Doppler sensor 112 in the sensor unit 11 (S1 ). More specifically, the sleep state determination unit 142 acquires, from the SU storage unit 16, a Doppler signal measured within a predetermined time, for example, within one minute, from the present time to the past. Subsequently, the sleep state determination unit 142 performs, for example, a fast Fourier transform (FFT) on the acquired one-minute Doppler signal. Subsequently, the sleep state determination unit 142 obtains an average value of amplitudes in a frequency band corresponding to a general respiration frequency from the spectrum obtained by the FFT. Subsequently, the sleep state determination unit 142 compares the obtained average value with the sleep level division threshold to obtain the sleep degree, and stores the obtained sleep degree in the SU storage unit 16 in time series. Subsequently, the sleep state determination unit 142 obtains the duration of the obtained sleep degree by referring to the SU storage unit 16. Subsequently, the sleep state determination unit 142 compares the duration of the obtained sleep degree with the reliability class threshold to obtain the reliability. For example, in the present embodiment, the sleep level classification threshold is one value that discriminates between awakening and sleep, and the reliability classification threshold is one value that discriminates between high reliability and low reliability. . Then, the sleep state determination unit 142 outputs (notifies) the sleep degree and the reliability obtained as described above to the processing control unit 144 in the sleep determination result, in the present embodiment.
 次に、センサ装置SUは、SU制御処理部14の行動判定部143によって、処理S1によって睡眠状態判定部142で判定された睡眠判定結果に応じた、センサ部11におけるカメラ111の対象画像に基づく被監視者Obに対する行動判定処理を実行する(S2)。より具体的には、本実施形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて、行動判定部143の第1サブ行動判定部1431における前記第1サブ行動判定処理を実行するか否か、および、行動判定部143の第2サブ行動判定部1432における前記第2サブ行動判定処理を実行するか否かを制御する。より詳しくは、本実施形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431における前記第1サブ行動判定処理を実行せず、そして、第2サブ行動判定部1432における前記第2サブ行動判定処理を実行する。すなわち、第1サブ行動判定部1431による後述の第1行動(本実施形態では入床、起床、離床、転落および転倒)を判定するための処理S21ないし処理S27は、実行されず、第2サブ行動判定部1432による後述の第2行動(本実施形態では微体動異常)を判定するための処理S28のみが実行される。一方、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431における前記第1サブ行動判定処理を実行し、そして、第2サブ行動判定部1432における前記第2サブ行動判定処理を実行しない。すなわち、第1サブ行動判定部1431による後述の第1行動を判定するための処理S21ないし処理S27は、実行され、第2サブ行動判定部1432による後述の第2行動を判定するための処理S28のみが実行されない。 Next, the sensor device SU is based on the target image of the camera 111 in the sensor unit 11 according to the sleep determination result determined by the sleep state determination unit 142 in the process S1 by the action determination unit 143 of the SU control processing unit 14 An action determination process for the monitored person Ob is executed (S2). More specifically, in the present embodiment, the process control unit 144 performs the first sub-action determination process in the first sub-action determination unit 1431 of the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142. It controls whether or not to execute the second sub-action determination process in the second sub-action determination unit 1432 of the action determination unit 143. More specifically, in the present embodiment, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 determines the first sub-action determination unit 1431. The second sub-action determination process in the second sub-action determination unit 1432 is not performed. That is, the processes S21 to S27 for determining the first action (in the present embodiment, entering, getting up, leaving, falling and falling in this embodiment) by the first sub-action determining unit 1431 are not executed, and the second sub Only the process S28 for determining the below-mentioned 2nd action (this embodiment micro body movement abnormality) by the action determination part 1432 is performed. On the other hand, when the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are low, the process control unit 144 executes the first sub behavior determination process in the first sub behavior determination unit 1431. And, the second sub action determination process in the second sub action determination unit 1432 is not executed. That is, the processes S21 to S27 for determining the first action described later by the first sub-action determining unit 1431 are executed, and the process S28 for determining the second action described below by the second sub-action determining unit 1432 Will not be executed.
 つまり、この処理S2では、まず、処理制御部144は、処理S1によって睡眠状態判定部142で判定された睡眠度および信頼度それぞれと前記睡眠判定閾値および前記信頼度判定閾値それぞれとを比較する。この比較の結果、前記睡眠度が前記睡眠判定閾値以上である場合、または、前記信頼度が前記信頼判定閾値以上である場合には、処理制御部144は、第1サブ行動判定部1431に、前記第1行動を判定するための処理S21ないし処理S27を実行させずに、第2サブ行動判定部1432に、前記第2行動を判定するための処理S28のみを実行させる。一方、前記比較の結果、前記睡眠度が前記睡眠判定閾値未満であって、かつ、前記信頼度が前記信頼判定閾値未満である場合には、処理制御部144は、第1サブ行動判定部1431に、前記第1行動を判定するための処理S21ないし処理S27を実行させ、第2サブ行動判定部1432に、前記第2行動を判定するための処理S28のみを実行させない。 That is, in the process S2, first, the process control unit 144 compares each of the sleep degree and the reliability degree determined by the sleep state determination unit 142 in the process S1 with each of the sleep determination threshold value and the reliability degree determination threshold value. As a result of the comparison, if the sleep degree is equal to or higher than the sleep determination threshold, or if the reliability is equal to or higher than the confidence determination threshold, the processing control unit 144 causes the first sub behavior determination unit 1431 to Only the process S28 for determining the second action is executed by the second sub-action determining unit 1432 without executing the processes S21 to S27 for determining the first action. On the other hand, if it is determined that the degree of sleep is less than the sleep determination threshold and the degree of reliability is less than the confidence determination threshold as a result of the comparison, the processing control unit 144 determines that the first sub behavior determination unit 1431 is performed. In addition, the process S21 to the process S27 for determining the first action are performed, and the second sub action determining unit 1432 is not performed only the process S28 for determining the second action.
 次に、このように処理S1によって睡眠状態判定部142で判定された睡眠判定結果に応じて実行か非実行かを処理制御部144が制御する処理S21ないし処理S28の各処理について説明する。 Next, each process of processes S21 to S28 in which the process control unit 144 controls whether to execute or not according to the sleep determination result determined by the sleep state determination unit 142 in the process S1 as described above will be described.
 図4において、処理S21では、センサ装置SUは、SU制御処理部14の行動判定部143によって、センサ部11のカメラ111から、1フレーム分の画像を対象画像として取得する。 In FIG. 4, in the processing S21, the sensor device SU causes the behavior determination unit 143 of the SU control processing unit 14 to acquire an image of one frame as a target image from the camera 111 of the sensor unit 11.
 続いて、処理S22では、センサ装置SUは、行動判定部143の第1サブ行動判定部1431によって、処理S21で取得した対象画像から、例えば背景差分法によって人物領域を抽出する。なお、第1サブ行動判定部1431は、処理S21で取得した対象画像から、例えばフレーム差分法によって動体領域を人物領域として抽出しても良い。 Subsequently, in process S22, the sensor device SU causes the first sub behavior determination unit 1431 of the behavior determination unit 143 to extract a human region from the target image acquired in process S21, for example, by the background subtraction method. Note that the first sub action determination unit 1431 may extract a moving subject region as a human region from the target image acquired in the processing S21, for example, by the frame difference method.
 続いて、処理S23では、センサ装置SUは、第1サブ行動判定部1431によって、この抽出した人物領域に基づく転落判定処理を実行する。 Subsequently, in the process S23, the sensor device SU causes the first sub-action determining unit 1431 to execute the fall determination process based on the extracted person area.
 より具体的には、この転落判定処理では、図5において、まず、第1サブ行動判定部1431は、処理S22で抽出した人物領域に基づいて転落の判定条件を満たすか否かを判定する(S231)。より詳しくは、第1サブ行動判定部142は、今回、処理S22で対象画像から抽出した人物領域の頭部領域の大きさが横臥姿勢判定閾値以下であって、前記頭部領域の大きさの変化速度が転落判定速度閾値以上であって、前記人物領域が前記寝具BDの所在領域の周囲に設定された転落判定領域内に在る場合に、転落有りと判定し(Yes)、次に、処理S232を実行し、これを除く他の場合に、転落無しと判定し(No)、本転落判定処理を終了する。ここで、頭部領域の抽出は、前記人物領域から、例えば円形や楕円形のハフ変換によって、また例えば予め用意された頭部のモデル(テンプレート)を用いたパターンマッチングによって、また例えば頭部抽出用に学習したニューラルネットワークによって、抽出される。前記処理S232では、第1サブ行動判定部1431は、転落発生を決定して転落有りを表す転落有り情報(例えば転落の有無を表す転落フラグが「0」から「1」へ変更される)をSU記憶部16に記憶し、本転落判定処理を終了する。 More specifically, in this fall determination process, in FIG. 5, first, the first sub behavior determination unit 1431 determines whether or not the fall determination condition is satisfied based on the person area extracted in the process S22 (see FIG. 5) S231). More specifically, the first sub-action determining unit 142 determines that the size of the head area of the human area extracted from the target image in step S22 is equal to or less than the lying posture determination threshold, and the size of the head area is If the change speed is equal to or higher than the fall judgment speed threshold and the person area is in the fall judgment area set around the area of the bedding BD, it is judged that there is a fall (Yes), and then The processing S232 is executed, and in the other cases, it is determined that there is no fall (No), and the present fall determination processing is ended. Here, the extraction of the head region is performed by, for example, circular or elliptical Hough transform from the person region, for example, pattern matching using a prepared head model (template), for example, head extraction It is extracted by the neural network learned for the purpose. In the process S232, the first sub-action determining unit 1431 determines fall occurrence and indicates fall presence information indicating presence of fall (for example, a fall flag indicating presence or absence of fall is changed from “0” to “1”) This is stored in the SU storage unit 16 and the present fall determination processing is ended.
 図4に戻って、上記処理S23に続く処理S24では、センサ装置SUは、第1サブ行動判定部1431によって、この抽出した人物領域に基づく転倒判定処理を実行する。 Returning to FIG. 4, in the processing S24 following the above-described processing S23, the sensor device SU causes the first sub-action determining unit 1431 to execute the fall determination processing based on the extracted person area.
 より具体的には、この転倒判定処理では、図6において、まず、第1サブ行動判定部1431は、処理S22で抽出した人物領域に基づいて転倒の判定条件を満たすか否かを判定する(S241)。より詳しくは、第1サブ行動判定部142は、今回、処理S22で対象画像から抽出した人物領域の頭部領域の大きさが横臥姿勢判定閾値以下であって、前記頭部領域の大きさの変化速度が転倒判定速度閾値以上であって、前記人物領域が前記寝具BDの所在領域および前記転落判定領域を除く領域に在る場合に、転倒有りと判定し(Yes)、次に、処理S242を実行し、これを除く他の場合に、転倒無しと判定し(No)、本転倒判定処理を終了する。前記処理S242では、第1サブ行動判定部1431は、転倒発生を決定して転倒有りを表す転倒有り情報(例えば転倒の有無を表す転倒フラグが「0」から「1」へ変更される)をSU記憶部16に記憶し、本転倒判定処理を終了する。 More specifically, in the fall determination process, in FIG. 6, first, the first sub-action determination unit 1431 determines whether or not the fall determination condition is satisfied based on the person area extracted in the process S22 (FIG. 6) S241). More specifically, the first sub-action determining unit 142 determines that the size of the head area of the human area extracted from the target image in step S22 is equal to or less than the lying posture determination threshold, and the size of the head area is If the change speed is equal to or higher than the fall determination speed threshold and the person area is in the area excluding the area where the bedding BD is located and the fall determination area, it is determined that there is a fall (Yes). Is determined, and in the case other than this, it is determined that there is no fall (No), and this fall determination processing is ended. In the process S242, the first sub-action determining unit 1431 determines the occurrence of a fall and indicates fall presence information (for example, the fall flag indicating the presence or absence of a fall is changed from "0" to "1") indicating the presence of a fall. It memorizes in SU memory section 16, ends this falling decision processing.
 図4に戻って、上記処理S24に続く処理S25では、センサ装置SUは、第1サブ行動判定部1431によって、この抽出した人物領域に基づく入床判定処理を実行する。 Returning to FIG. 4, in the processing S25 following the above-described processing S24, the sensor device SU causes the first sub-action determining unit 1431 to perform the entrance determination processing based on the extracted person area.
 より具体的には、この入床判定処理では、図7において、まず、第1サブ行動判定部1431は、状態変数(前回の状態変数)が何であるか否かを判定する(S251)。この判定の結果、状態変数が「離床」ではない場合(No)には、第1サブ行動判定部1431は、本入床判定処理を終了する。一方、前記判定の結果、状態変数が「離床」である場合(Yes)には、第1サブ行動判定部1431は、次に、処理S252を実行する。この処理S252では、第1サブ行動判定部1431は、処理S22で抽出した人物領域に基づいて入床の判定条件を満たすか否かを判定する。より詳しくは、第1サブ行動判定部1431は、今回、処理S22で対象画像から抽出した人物領域が前記寝具BDの所在領域に完全に重なる場合(前記人物領域が完全に前記寝具BDの所在領域内となる場合)、入床と仮判定し、その完全重畳状態の継続時間が入床継続判定時間を超えて継続している場合に、入床有りと最終的に判定し(Yes)、次に、処理S253を実行し、これを除く他の場合に、入床無しと判定し(No)、本入床判定処理を終了する。前記処理S253では、第1サブ行動判定部1431は、入床発生を決定して入床有りを表す入床有り情報(例えば入床の有無を表す入床フラグが「0」から「1」へ変更される)をSU記憶部16に記憶する。続いて、第1サブ行動判定部1431は、前記状態変数を「入床」で更新し(状態変数←「入床」)(S254)、本入床判定処理を終了する。 More specifically, in this entrance determination processing, first in FIG. 7, the first sub-action determination unit 1431 determines whether or not the state variable (previous state variable) is (S251). As a result of the determination, if the state variable is not “bedding off” (No), the first sub-action determining unit 1431 ends the main entrance determination process. On the other hand, as a result of the determination, if the state variable is “bedding off” (Yes), the first sub-action determining unit 1431 next executes processing S252. In the process S252, the first sub-action determining unit 1431 determines whether or not the determination condition of admission is satisfied based on the person area extracted in the process S22. More specifically, the first sub-action determining unit 1431 detects the case in which the person area extracted from the target image in step S22 completely overlaps the area where the bedding BD is located (the person area is completely located in the bedding BD) (If it becomes inside), provisionally determine that it is in the bed, and if the duration of the complete superposition state continues beyond the in-bed continuation determination time, finally determine that there is an in-bed (Yes), next Then, the process S253 is executed, and in the case other than this, it is determined that there is no bed entry (No), and the main entry and floor determination process is ended. In the process S253, the first sub-action determining unit 1431 determines the occurrence of the entrance and the presence information indicating the presence of the entrance (for example, the entrance flag indicating the presence or absence of the entrance changes from "0" to "1"). Is stored in the SU storage unit 16). Subsequently, the first sub-action determining unit 1431 updates the state variable with “in bed” (state variable 「“ in bed ”) (S254), and ends the main entrance determination process.
 図4に戻って、上記処理S25に続く処理S26では、センサ装置SUは、第1サブ行動判定部1431によって、この抽出した人物領域に基づく起床判定処理を実行する。 Returning to FIG. 4, in the processing S26 following the processing S25, the sensor device SU causes the first sub-action determining unit 1431 to execute wakeup determination processing based on the extracted person area.
 より具体的には、この起床判定処理では、図8において、まず、第1サブ行動判定部1431は、状態変数(前回の状態変数)が何であるか否かを判定する(S261)。この判定の結果、状態変数が「入床」ではない場合(No)には、第1サブ行動判定部1431は、本起床判定処理を終了する。一方、前記判定の結果、状態変数が「入床」である場合(Yes)には、第1サブ行動判定部1431は、次に、処理S262を実行する。この処理S262では、第1サブ行動判定部1431は、処理S22で抽出した人物領域に基づいて起床の判定条件を満たすか否かを判定する。より詳しくは、第1サブ行動判定部1431は、今回、処理S22で対象画像から抽出した人物領域が前記寝具BDの所在領域からはみ出しているはみ出し領域が起床判定閾値以上であって離床判定閾値未満である場合、起床と仮判定し、その起床判定閾値以上であって離床判定閾値未満である状態のはみ出し領域の継続時間が起床継続判定時間を超えている場合に、起床有りと最終的に判定し(Yes)、次に、処理S263を実行し、これを除く他の場合に、起床無しと判定し(No)、本起床判定処理を終了する。前記処理S263では、第1サブ行動判定部1431は、起床発生を決定して起床有りを表す起床有り情報(例えば起床の有無を表す起床フラグが「0」から「1」へ変更される)をSU記憶部16に記憶する。続いて、第1サブ行動判定部1431は、前記状態変数を「起床」で更新し(状態変数←「起床」)(S264)、本転倒判定処理を終了する。 More specifically, in the wake-up determination process, in FIG. 8, first, the first sub behavior determination unit 1431 determines whether the state variable (previous state variable) is (S261). As a result of this determination, when the state variable is not “bed entry” (No), the first sub behavior determination unit 1431 ends the wakeup determination process. On the other hand, as a result of the determination, if the state variable is “in bed” (Yes), the first sub behavior determination unit 1431 next executes a process S262. In the process S262, the first sub-action determining unit 1431 determines whether or not the wake-up determination condition is satisfied based on the person area extracted in the process S22. More specifically, the first sub-action determining unit 1431 detects that the person area extracted from the target image in the process S22 this time is larger than the wakeup determination threshold and is less than the bedfall determination threshold. In this case, it is provisionally determined that the vehicle has risen, and if the duration of the overhang region in the state which is equal to or higher than the wakeup determination threshold and less than the departure judgment threshold exceeds the wakeup continuation determination time, it is finally determined that wakeup is present. Then (Yes), next, the process S263 is executed, and in the other cases except this, it is determined that there is no wakeup (No), and this wakeup determination process is ended. In the process S263, the first sub-action determining unit 1431 determines wakeup occurrence and indicates wakeup presence information indicating wakeup presence (for example, the wakeup flag indicating presence or absence of wakeup is changed from "0" to "1"). It is stored in the SU storage unit 16. Subsequently, the first sub-action determining unit 1431 updates the state variable with “wake up” (state variable 「“ wake up ”) (S 264), and ends the overturn determination process.
 図4に戻って、上記処理S26に続く処理S27では、センサ装置SUは、第1サブ行動判定部1431によって、この抽出した人物領域に基づく離床判定処理を実行する。 Returning to FIG. 4, in the processing S27 following the above-described processing S26, the sensor device SU causes the first sub-action determining unit 1431 to execute bed departure determination processing based on the extracted person area.
 より具体的には、この離床判定処理では、図9において、まず、第1サブ行動判定部1431は、状態変数(前回の状態変数)が何であるか否かを判定する(S271)。この判定の結果、状態変数が「入床」でも「起床」でもない場合(No)には、第1サブ行動判定部1431は、本離床判定処理を終了する。一方、前記判定の結果、状態変数が「入床」および「起床」のうちのいずれかである場合(Yes)には、第1サブ行動判定部1431は、次に、処理S272を実行する。この処理S272では、第1サブ行動判定部1431は、処理S22で抽出した人物領域に基づいて離床の判定条件を満たすか否かを判定する。より詳しくは、第1サブ行動判定部1431は、今回、処理S22で対象画像から抽出した人物領域が前記寝具BDの所在領域からはみ出しているはみ出し領域が離床判定閾値以上である場合、離床と仮判定し、その離床判定閾値以上である状態のはみ出し領域の継続時間が離床継続判定時間を超えている場合に、離床有りと最終的に判定し(Yes)、次に、処理S273を実行し、これを除く他の場合に、離床無しと判定し(No)、本離床判定処理を終了する。前記処理S273では、第1サブ行動判定部1431は、離床発生を決定して離床有りを表す離床有り情報(例えば離床の有無を表す離床フラグが「0」から「1」へ変更される)をSU記憶部16に記憶する。続いて、第1サブ行動判定部1431は、前記状態変数を「離床」で更新し(状態変数←「離床」)(S274)、本転倒判定処理を終了する。 More specifically, in the bed leaving determination process, in FIG. 9, the first sub-action determining unit 1431 first determines whether the state variable (previous state variable) is (S271). As a result of this determination, when the state variable is neither “bed entry” nor “wake up” (No), the first sub behavior determination unit 1431 ends the bed departure determination process. On the other hand, as a result of the determination, if the state variable is any one of “arriving” and “rising” (Yes), the first sub-action determining unit 1431 next executes processing S272. In the process S272, the first sub-action determining unit 1431 determines whether or not the determination condition for bed departure is satisfied based on the person area extracted in the process S22. More specifically, the first sub-action determining unit 1431 determines that the floor area is temporary when the overrun area in which the person area extracted from the target image in the process S22 is currently out of the area of the bedding BD If the duration of the overhang region in the state of being equal to or greater than the departure judgment threshold exceeds the stay continuation judgment time, it is finally determined that there is bed departure (Yes), and then processing S273 is executed, In the case other than this, it is determined that there is no bed leaving (No), and the bed leaving determination process is ended. In the process S273, the first sub-action determining unit 1431 determines the occurrence of bed leaving and has bed leaving presence information (for example, the bed leaving flag indicating presence or absence of bed leaving is changed from "0" to "1") indicating presence of bed leaving. It is stored in the SU storage unit 16. Subsequently, the first sub-action determining unit 1431 updates the state variable with “bedding off” (state variable 「“ being off ”) (S 274), and the present fall determining process is ended.
 図4に戻って、上記処理S27に続く処理S28では、センサ装置SUは、行動判定部143の第2サブ行動判定部1432によって、センサ部11におけるドップラセンサ112のドップラ信号に基づく微体動異常判定処理を実行する。 Returning to FIG. 4, in the processing S28 subsequent to the processing S27, the sensor device SU causes the micro movement abnormality based on the Doppler signal of the Doppler sensor 112 in the sensor unit 11 by the second sub-action determining unit 1432 of the action determining unit 143 Execute determination processing.
 より具体的には、この微体動異常判定処理では、図10において、まず、第2サブ行動判定部1432は、ドップラセンサ112のドップラ信号に基づいて微体動異常の判定条件を満たすか否かを判定する(S281)。より詳しくは、第2サブ行動判定部142は、まず、現時点から過去へ、所定時間内、例えば1分以内に測定されたドップラ信号をSU記憶部16から取得する。続いて、睡眠状態判定部142は、この取得した1分間のドップラ信号を例えば高速フーリエ変換(FFT)する。続いて、第2サブ行動判定部142は、このFFTで得られたスペクトルから、一般的な呼吸の周波数に対応する周波数帯における振幅の平均値を求める。続いて、第2サブ行動判定部142は、この求めた平均値と前記微体動異常判定閾値とを比較し、前記求めた平均値が前記微体動異常判定閾値以下である場合、微体動異常と仮判定し、前記平均値が前記微体動異常判定閾値以下である状態の継続時間が微体動異常継続判定時間を超えて継続している場合に、微体動異常有りと最終的に判定し(Yes)、次に、処理S282を実行し、これを除く他の場合に、微体動異常無しと判定し(No)、本微体動異常判定処理を終了する。前記処理S282では、第2サブ行動判定部1432は、微体動異常発生を決定して微体動異常有りを表す微体動異常有り情報(例えば微体動異常の有無を表す微体動異常フラグが「0」から「1」へ変更される)をSU記憶部16に記憶し、本微体動異常判定処理を終了する。 More specifically, in this micro movement abnormality determination process, in FIG. 10, first, the second sub behavior determination unit 1432 determines whether the micro movement abnormality determination condition is satisfied based on the Doppler signal of the Doppler sensor 112. It is determined (S281). More specifically, the second sub-action determination unit 142 first acquires a Doppler signal measured within a predetermined time period, for example, within one minute, from the current time to the past from the SU storage unit 16. Subsequently, the sleep state determination unit 142 performs, for example, a fast Fourier transform (FFT) on the acquired one-minute Doppler signal. Subsequently, the second sub-action determining unit 142 obtains an average value of amplitudes in a frequency band corresponding to a general respiration frequency from the spectrum obtained by the FFT. Subsequently, the second sub-action determining unit 142 compares the calculated average value with the micro movement abnormality determination threshold, and if the calculated average value is equal to or less than the micro movement abnormality determination threshold, the micro body If the continuance time of the state where the average value is less than or equal to the micro movement abnormality judgment threshold is tentatively determined as the movement abnormality and continues beyond the micro movement abnormality continuation judgment time, the micro movement abnormality presence and the final state Then, the process S 282 is executed, and in the other cases, it is determined that there is no micro movement abnormality (No), and the micro movement abnormality determination process is ended. In the process S282, the second sub-action determining unit 1432 determines the occurrence of micro movement abnormality and information on micro movement abnormality presence information indicating presence of micro movement abnormality (for example, micro movement abnormality indicating presence or absence of micro movement abnormality) The flag is changed from “0” to “1”) and stored in the SU storage unit 16, and the micro movement abnormality determination process is ended.
 以上のような処理S21ないし処理S28の各処理に対する実行か非実行かが、上述したように、処理制御部144によって、前記処理S1によって睡眠状態判定部142で判定された睡眠判定結果に応じて制御される。 As described above, whether the process S21 to the process S28 is performed or not is the process control unit 144 according to the sleep determination result determined by the sleep state determination unit 142 in the process S1. It is controlled.
 図3に戻って、次に、センサ装置SUは、SU制御処理部14によって、所定のイベントの通知が必要か否かを判定する(S3)。より具体的には、センサ装置SUは、SU制御処理部14の行動判定部143によって、SU記憶部16に、例えば前記転落有り情報や前記転倒有り情報等の、所定の行動を判定した結果を記憶しているか否かを判定し、前記所定の行動を判定した結果がSU記憶部16に記憶されている場合には、行動判定部143は、通知が必要と判定し(Yes)、次に、処理S4を実行した後に、今回の本処理を終了し、一方、前記所定の行動を判定した結果がSU記憶部16に記憶されていない場合には、行動判定部143は、通知が不要と判定し(No)、今回の本処理を終了する。 Returning to FIG. 3, next, the sensor unit SU determines, by the SU control processing unit 14, whether or not notification of a predetermined event is necessary (S3). More specifically, the sensor device SU causes the behavior determination unit 143 of the SU control processing unit 14 to determine, in the SU storage unit 16, a result of determining a predetermined behavior such as the fall presence information or the fall presence information. If it is determined whether or not stored, and the result of determining the predetermined action is stored in the SU storage unit 16, the action determination unit 143 determines that the notification is necessary (Yes), and then After the process S4 is performed, the current process is ended, and when the result of determining the predetermined action is not stored in the SU storage unit 16, the action determination unit 143 determines that the notification is unnecessary. It judges (No) and ends this processing this time.
 この処理S4では、センサ装置SUは、行動判定部143によって、その判定した所定の行動を所定の端末装置SP、TAへ通知するために、前記イベント情報として判定した前記所定の行動を収容した、前記所定の行動の検知にかかる第1イベント通知通信信号を、管理サーバ装置SVへ送信する。一具体例では、SU記憶部16に起床有り情報が記憶されている場合には、行動判定部143は、自機のセンサID、イベント情報としての「起床」、前記起床の判定の際に用いられた対象画像を収容した第1イベント通知通信信号を、SU通信IF部15を介して管理サーバ装置SVへ送信する。 In the process S4, the sensor device SU accommodates the predetermined action determined as the event information in order to notify the predetermined terminal device SP and TA of the determined predetermined action by the action determination unit 143. The first event notification communication signal according to the detection of the predetermined action is transmitted to the management server SV. In one specific example, when wakeup information is stored in the SU storage unit 16, the behavior determination unit 143 uses the sensor ID of the own machine, “wakeup” as event information, and the wakeup determination. The first event notification communication signal containing the selected target image is transmitted to the management server SV via the SU communication IF unit 15.
 そして、上述のように処理S1ないし処理S4の各処理を実行している間に、センサ装置SUは、SU制御処理部14のナースコール処理部145によって、ナースコールを受け付けているか否かを判定し、ナースコールを受け付けると、そのナースコールの受付を所定の端末装置SP、TAへ通知するために、センサ装置SUは、前記イベント情報として前記受け付けたナースコールを収容した、前記ナースコールの受付にかかる第1イベント通知通信信号を、管理サーバ装置SVへ送信する。 Then, while executing each of the processes S1 to S4 as described above, the sensor device SU determines whether the nurse call processing unit 145 of the SU control processing unit 14 receives a nurse call or not. When the nurse call is accepted, the sensor device SU accommodates the accepted nurse call as the event information in order to notify acceptance of the nurse call to predetermined terminal devices SP and TA. The first event notification communication signal is transmitted to the management server apparatus SV.
 管理サーバ装置SVは、第1イベント通知通信信号をネットワークNWを介してセンサ装置SUから受信すると、この第1イベント通知通信信号に収容されたセンサIDおよびイベント情報等の各情報を、このセンサIDを持つセンサ装置SUで監視されている被監視者Obの監視情報として記憶(記録)する。すなわち、管理サーバ装置SVは、第1イベント通知通信信号に収容された、センサIDとイベント情報等の各情報と互いに対応付けて記憶する。そして、管理サーバ装置SVは、前記受信した第1イベント通知通信信号における送信元(通知元)のセンサ装置SUに対応する通知先の端末装置SP、TAへ第2イベント通知通信信号を送信する。 When the management server device SV receives the first event notification communication signal from the sensor device SU via the network NW, each sensor ID, event information, and other information contained in the first event notification communication signal is the sensor ID. Are stored (recorded) as monitoring information of the monitored person Ob monitored by the sensor device SU. That is, the management server device SV stores the sensor ID, the event information, and other information contained in the first event notification communication signal in association with each other. Then, the management server device SV transmits a second event notification communication signal to the terminal devices SP and TA of the notification destination corresponding to the sensor device SU of the transmission source (notification source) in the received first event notification communication signal.
 固定端末装置SPおよび携帯端末装置TAは、前記第2イベント通知通信信号をネットワークNWを介して管理サーバ装置SVから受信すると、この第2イベント通知通信信号に収容されたセンサIDおよびイベント情報等の各情報を、このセンサIDを持つセンサ装置SUで監視されている被監視者Obの監視情報として記憶(記録)し、前記監視情報を表示する。例えば、センサ装置SUが所定のイベントの検知動作を繰り返し実行しているが前記所定のイベントを検知していない場合では、端末装置SP、TA、例えば、固定端末装置SPには、図14Aに示す監視情報画面31aが表示され、センサ装置SUが所定のイベントを検知し第2イベント通知通信信号によって前記検知した所定のイベントが通知された場合では、固定端末装置SPには、図14Bに示す監視情報画面31bが表示される。図14Aに示す監視情報画面31aは、センサ装置SUで撮像された画像を表示する監視画像表示領域311を備える。図14Bに示す監視情報画面31bは、センサ装置SUで検知したイベントの種類を表示するイベント表示領域312をさらに備える。図14Bに示す例では、監視画像表示領域311に重畳して「離床検知」のメッセージを表示したイベント表示領域312が図示されている。 When the fixed terminal apparatus SP and the portable terminal apparatus TA receive the second event notification communication signal from the management server apparatus SV via the network NW, the sensor ID, the event information, etc. contained in the second event notification communication signal Each piece of information is stored (recorded) as monitoring information of the monitored person Ob monitored by the sensor device SU having the sensor ID, and the monitoring information is displayed. For example, when the sensor device SU repeatedly executes the detection operation of a predetermined event but does not detect the predetermined event, the terminal device SP, TA, for example, the fixed terminal device SP is shown in FIG. 14A. When the monitoring information screen 31a is displayed, and the sensor device SU detects a predetermined event and the predetermined event detected by the second event notification communication signal is notified, the fixed terminal apparatus SP performs monitoring as shown in FIG. 14B. An information screen 31 b is displayed. The monitoring information screen 31a illustrated in FIG. 14A includes a monitoring image display area 311 that displays an image captured by the sensor device SU. The monitoring information screen 31b shown in FIG. 14B further includes an event display area 312 for displaying the type of the event detected by the sensor device SU. In the example shown to FIG. 14B, the event display area 312 which superimposed on the monitoring image display area 311 and displayed the message of "bed release detection" is shown in figure.
 例えば、被監視者が睡眠状態であれば、例えば入床、離床および転倒等の行動は、生じ得ず、行動判定部143がこのような睡眠状態では生じ得ない行動を判定した場合、それは、誤判定である蓋然性が高い。本実施形態における被監視者監視支援システムMS、ならびに、センサ装置SUに組み込まれた行動検知装置および行動検知方法は、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御するので、誤判定をより低減できる。 For example, if the person being monitored is in a sleep state, for example, an action such as bed entry, bed leaving and fall can not occur, and if the action determination unit 143 determines an action that can not occur in such a sleep state, It is highly probable that it is a false decision. Since the person-to-be-monitored monitoring support system MS in the present embodiment and the behavior detection device and the behavior detection method incorporated in the sensor device SU control the behavior determination unit 143 according to the sleep determination result of the sleep state determination unit 142 False positives can be reduced.
 上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、前記所定の行動を、睡眠状態で生じ得ない第1グループに属する第1行動(本実施形態では、入床、起床、離床、転落および転倒)と、睡眠状態で生じ得る第2グループに属する第2行動(本実施形態では微体動異常)とに分けることが可能となるので、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143をより適切に制御でき、誤判定をより低減できる。 The above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection device, and the above-mentioned action detection method are the first actions belonging to the first group which can not occur in the sleep state (in this embodiment, entering and getting up) , Bed break, fall and fall) and the second action belonging to the second group that can occur in the sleep state (microbody movement abnormality in this embodiment), the sleep determination of the sleep state determination unit 142 The action determination unit 143 can be more appropriately controlled according to the result, and erroneous determination can be further reduced.
 上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のみを実行したり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定処理のみを実行したり等するように、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御することで、誤判定をより低減できる。 The above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection apparatus, and the above-mentioned action detection method may execute only the sub-action determination processing which determines the action which can not occur in the sleep state By controlling the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142 so as to execute only the sub-action determination process that determines the action, it is possible to further reduce the erroneous determination.
 なお、上述の実施形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431に第1サブ行動判定処理を実行させず、そして、第2サブ行動判定部1432に第2サブ行動判定処理を実行させ、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431に第1サブ行動判定処理を実行させ、そして、第2サブ行動判定部1432に第2サブ行動判定処理を実行させたが、以下の各変形形態のように、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御しても良い。 In the above embodiment, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 causes the first sub behavior determination unit 1431 to The first sub behavior determination process is not executed, and the second sub behavior determination unit 1432 is executed to execute the second sub behavior determination process, and the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are When it is low, the first sub-action judging unit 1431 is caused to execute the first sub-action judging process, and then the second sub-action judging unit 1432 is caused to execute the second sub-action judging process. As described above, the process control unit 144 may control the behavior determination unit 143 according to the sleep determination result of the sleep state determination unit 142.
 第1変形形態では、第1サブ行動判定部1431における第1サブ行動判定処理の実行の有無にかかわらず、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第2サブ行動判定部1432のみを制御対象とし、第2サブ行動判定部1432に第2サブ行動判定処理を実行させる。第1サブ行動判定部1431における第1サブ行動判定処理の実行の有無にかかわらず、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第2サブ行動判定部1432のみを制御対象とし、第2サブ行動判定部1432に第2サブ行動判定処理を実行させない。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理を実行するか否かを制御せずに、処理S28を実行するか否かを睡眠状態判定部142の睡眠判定結果に応じて制御する。これによって睡眠状態で生じ得る行動のみを判定するように、行動判定部143が制御され、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、誤判定をより低減できる。 In the first modification, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep level and the reliability regardless of whether the first sub behavior determination process is performed in the first sub behavior determination unit 1431. When one of the degrees is high, only the second sub behavior determination unit 1432 is set as a control target, and the second sub behavior determination unit 1432 causes the second sub behavior determination process to be executed. Regardless of whether or not the first sub behavior determination process is performed in the first sub behavior determination unit 1431, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 indicates that both the sleep level and the reliability are low. The control target is only the second sub behavior determination unit 1432 and does not cause the second sub behavior determination unit 1432 to execute the second sub behavior determination process. In one example, the process control unit 144 determines whether or not to execute the process S28 without controlling whether or not each process of the process S21 to the process S27 described above with reference to FIG. 4 is performed. It controls according to the sleep determination result of the part 142. Thus, the behavior determination unit 143 is controlled to determine only the behavior that may occur in the sleep state, and the monitored person monitoring support system MS, the behavior detection apparatus, and the behavior detection method can further reduce erroneous determinations.
 第2変形形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて、第1サブ行動判定部1431における第1サブ行動判定結果の出力を行うか否か、および、第2サブ行動判定部1432における第2サブ行動判定結果の出力を行うか否かを制御する。第2変形形態では、第1および第2サブ行動判定処理それぞれは、実行されるものの、その結果の出力を制御することで、その実行の制御によって得られる効果と同等の効果が得られる。より具体的には、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431に前記第1サブ行動判定結果の出力を行わせず、そして、第2サブ行動判定部に前記第2サブ行動判定結果の出力を行わせる。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理において、第1サブ行動判定部1431が前記所定の行動を判定しても、第1サブ行動判定部1431に、例えば前記転落有り情報や前記転倒有り情報等の、前記所定の行動を判定した結果をSU記憶部16に記憶させず、図4を用いて説明した上述の処理S28において、第2サブ行動判定部1432が前記所定の行動を判定した場合に、第2サブ行動判定部1432に、例えば前記微体動異常有り情報の、前記所定の行動を判定した結果をSU記憶部16に記憶させる。処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431に第1サブ行動判定結果の出力を行わせ、そして、第2サブ行動判定部1432に第2サブ行動判定結果の出力を行わせない。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理において、第1サブ行動判定部1431が前記所定の行動を判定した場合、第1サブ行動判定部1431に、例えば前記転落有り情報や前記転倒有り情報等の、前記所定の行動を判定した結果をSU記憶部16に記憶させ、図4を用いて説明した上述の処理S28において、第2サブ行動判定部1432が前記所定の行動を判定しても、第2サブ行動判定部1432に、例えば前記微体動異常有り情報の、前記所定の行動を判定した結果をSU記憶部16に記憶させない。 In the second modified embodiment, whether the processing control unit 144 outputs the first sub-action determination result in the first sub-action determining unit 1431 according to the sleep determination result of the sleep state determining unit 142, and It is controlled whether or not the output of the second sub-action determination result in the second sub-action determining unit 1432 is performed. In the second variation, although the first and second sub-action determination processes are respectively executed, by controlling the output of the result, an effect equivalent to the effect obtained by the control of the execution can be obtained. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability degree is high, the process control unit 144 causes the first sub-action determination unit 1431 to execute the process. The first sub-action determination unit does not output the first sub-action determination result, and causes the second sub-action determination unit to output the second sub-action determination result. In one example, in each of the processes S21 to S27 described above with reference to FIG. 4, the process control unit 144 determines the first sub-action even if the first sub-action determining unit 1431 determines the predetermined action. For example, in the processing S28 described above with reference to FIG. 4, the determination unit 1431 does not store the result of the determination of the predetermined action, such as the fall presence information and the fall presence information, in the SU storage unit 16. If the second sub-action determining unit 1432 determines the predetermined action, the second sub-action determining unit 1432 determines, for example, the SU memory 16 as a result of determining the predetermined action of the information on fine motion abnormality Remember. When the sleep determination result of the sleep state determination unit 142 indicates that both the sleep level and the reliability are low, the process control unit 144 causes the first sub behavior determination unit 1431 to output the first sub behavior determination result. Then, the second sub behavior determination unit 1432 does not output the second sub behavior determination result. In one example, in each of the processes S21 to S27 described above with reference to FIG. 4, the process control unit 144 determines the first sub-action when the first sub-action determining unit 1431 determines the predetermined action. The unit 1431 causes the SU storage unit 16 to store the result of the determination of the predetermined action, such as the fall / fall information or the fall / presence information, for example, and the second sub in step S28 described above with reference to FIG. Even if the action determination unit 1432 determines the predetermined action, the second sub action determination unit 1432 does not store the result of the determination of the predetermined action of the micro movement abnormality presence information, for example, in the SU storage unit 16 .
 あるいは、この第2変形形態において、第1サブ行動判定部1431の第1サブ行動判定結果の出力の有無にかかわらず、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第2サブ行動判定部1432のみを制御対象とし、第2サブ行動判定部1432に第2サブ行動判定結果の出力を行わせる。処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第2サブ行動判定部1432のみを制御対象とし、第2サブ行動判定部1432における第2サブ行動判定結果の出力を行わせない。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理における第1サブ行動判定結果を出力するか否かを制御せずに、処理S28における第2サブ行動判定結果を出力するか否かを睡眠状態判定部142の睡眠判定結果に応じて制御する。 Alternatively, in the second modified embodiment, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep level regardless of the presence or absence of the output of the first sub behavior determination result of the first sub behavior determination unit 1431. When one of the degrees of reliability is high, only the second sub behavior determination unit 1432 is set as a control target, and the second sub behavior determination unit 1432 causes the second sub behavior determination result to be output. When the sleep determination result of the sleep state determination unit 142 indicates that both the sleep level and the reliability are low, the process control unit 144 sets only the second sub behavior determination unit 1432 as a control target, and the second sub behavior determination unit 1432 Do not output the second sub-action determination result in In one example, the process control unit 144 does not control whether or not to output the first sub-action determination result in each process of the above-described processes S21 to S27 described with reference to FIG. It is controlled according to the sleep determination result of the sleep state determination unit 142 whether or not the sub behavior determination result is output.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のサブ行動判定結果のみを出力したり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定処理のサブ行動判定結果のみを出力したり等するように、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御することで、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method output, for example, only the sub-action determination result of the sub-action determination process that determines an action that can not occur in the sleep state. Or, conversely, the behavior determination unit 143 is output according to the sleep determination result of the sleep state determination unit 142 so as to output only the sub-action determination result of the sub-action determination process that determines the behavior that may occur in the sleep state. By controlling, it is possible to further reduce the erroneous determination.
 第3変形形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて第1サブ行動判定部1431における第1サブ行動判定結果を第2サブ行動判定部1432における第2サブ行動判定結果で補助するか否かを制御する。より具体的には、例えば、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431における第1サブ行動判定結果を第2サブ行動判定部1432における第2サブ行動判定結果で補助し、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431における第1サブ行動判定結果を第2サブ行動判定部1432における第2サブ行動判定結果で補助しない。より詳しくは、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431における第1サブ行動判定結果を第2サブ行動判定部1432における第2サブ行動判定結果に書き換える。すなわち、第1サブ行動判定結果にかかわらず、第2サブ行動判定結果のみが有効となる。あるいは、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431における第1サブ行動判定結果に第2サブ行動判定部1432における第2サブ行動判定結果を追記する。すなわち、第1サブ行動判定結果に、第2サブ行動判定結果が添えられ、第1イベント通知通信信号には、前記イベント情報として、判定した第1行動および第2行動が収容される。 In the third modification, the processing control unit 144 causes the first sub-action determination result in the first sub-action determining unit 1431 to be the second sub-action in the second sub-action determining unit 1432 according to the sleep determination result of the sleep state determining unit 142. Control whether or not to assist with the action determination result. More specifically, for example, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the processing control unit 144 causes the process control unit 144 in the first sub behavior determination unit 1431 to When the first sub-behavior determination result is assisted by the second sub-behavior determination result in the second sub-behavior determination unit 1432 and the sleep determination result of the sleep state determination unit 142 indicates that both the sleep degree and the reliability are low, The first sub behavior determination result in the first sub behavior determination unit 1431 is not assisted by the second sub behavior determination result in the second sub behavior determination unit 1432. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the processing control unit 144 determines that the first sub-action in the first sub-action determination unit 1431 is performed. The determination result is rewritten to the second sub behavior determination result in the second sub behavior determination unit 1432. That is, regardless of the first sub-action determination result, only the second sub-action determination result is valid. Alternatively, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the processing control unit 144 determines the first sub behavior determination result of the first sub behavior determination unit 1431. The second sub behavior determination result in the second sub behavior determination unit 1432 is additionally written. That is, the second sub-action determination result is attached to the first sub-action determination result, and the first event notification communication signal accommodates the determined first action and second action as the event information.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のサブ行動判定結果を、睡眠状態で生じ得る行動を判定するサブ行動判定処理のサブ行動判定結果で補助すること等が可能となるので、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the behavior detecting device, and the behavior detecting method are, for example, a sub-behavior of the sub-behavior determination processing that determines the behavior that can not occur in the sleeping state Since it is possible to assist the determination result with the sub-action determination result of the sub-action determination process of determining the action that may occur in the sleep state, erroneous determination can be further reduced.
 第4変形形態では、前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを判定する処理であり、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果に応じて第1サブ行動判定部1431が実行する第1サブ行動判定処理における第1行動判定閾値を変更する。より具体的には、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1行動判定閾値を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第1行動であると判定され易い値に、前記第1行動判定閾値を変更する。上述の実施形態では、前記起床判定閾値、前記離床判定閾値、前記横臥姿勢判定閾値、前記転落判定速度閾値および前記転倒判定速度閾値は、それぞれ、前記第1行動判定閾値の一例に相当し、これら前記起床判定閾値、前記離床判定閾値、前記横臥姿勢判定閾値、前記転落判定速度閾値および前記転倒判定速度閾値のうちの1または複数が、処理制御部144によって、睡眠状態判定部142の睡眠判定結果に応じて変更される。 In a fourth modification, the first sub-action determination process compares a first sub-measurement result of the first sub-sensor with a preset first action determination threshold associated with the first action. Thus, the process control unit 144 executes, as the control, the first sub-action determination unit 1431 according to the sleep determination result of the sleep state determination unit 142. The first behavior determination threshold value in the first sub behavior determination process is changed. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high as the control, the process control unit 144 sets the sleep state determination unit 142 to The first behavior determination threshold is changed to a value that is less likely to be determined as the first behavior as compared with the case where the sleep determination result and the degree of sleep and the degree of reliability are both low. As the control, when the sleep determination result of the sleep state determination unit 142 is low in both the sleep degree and the reliability, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability. The first action determination threshold is changed to a value that is more easily determined to be the first action than when any one of the degrees is high. In the above-described embodiment, the wakeup determination threshold, the bed departure determination threshold, the lying posture determination threshold, the fall determination speed threshold, and the fall determination speed threshold respectively correspond to an example of the first action determination threshold. One or more of the wakeup determination threshold, the bed departure determination threshold, the lying posture determination threshold, the fall determination speed threshold, and the fall determination speed threshold are the sleep determination results of the sleep state determination unit 142 by the process control unit 144 It changes according to.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理の行動判定閾値を、前記行動であると実質的に判定できない値に変更すること等が可能となるので、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the behavior detecting device, and the behavior detecting method, for example, determine the behavior of the sub behavior determining process that determines the behavior that can not occur in the sleeping state in the case of the sleeping state. Since it is possible to change the threshold value to a value that can not be substantially determined to be the action, it is possible to further reduce the erroneous determination.
 第5変形形態では、前記第2サブ行動判定処理は、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを判定する処理であり、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果に応じて第2サブ行動判定部1432が実行する第2サブ行動判定処理における第2行動判定閾値を変更する。より具体的には、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第2行動であると判定され難い値に、前記第2行動判定閾値を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2行動判定閾値を変更する。上述の実施形態では、前記微体動異常判定閾値は、前記第2行動判定閾値の一例に相当し、この前記微体動異常判定閾値が、処理制御部144によって、睡眠状態判定部142の睡眠判定結果に応じて変更される。 In a fifth modification, the second sub-action determination process compares a second sub-measurement result of the second sub-sensor with a preset second action determination threshold associated with the second action. Thus, the process control unit 144 executes, as the control, the second sub-action determination unit 1432 according to the sleep determination result of the sleep state determination unit 142. The second behavior determination threshold value in the second sub behavior determination process is changed. More specifically, as the control, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is lower if both the sleep degree and the reliability are lower. The second behavior determination threshold is changed to a value that is less likely to be determined as the second behavior as compared to the case where either the sleep level or the reliability level is high. As the control, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep. The second behavior determination threshold is changed to a value that is more easily determined to be the second behavior than when both the degree and the reliability are low. In the above-described embodiment, the micro movement abnormality determination threshold corresponds to an example of the second behavior determination threshold, and the micro movement abnormality determination threshold corresponds to the sleep state of the sleep state determination unit 142 by the processing control unit 144. It is changed according to the judgment result.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態の場合に、睡眠状態で生じ得る行動を判定するサブ行動判定処理の行動判定閾値を、前記行動であると判定され易い値に変更すること等が可能となるので、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method, for example, determine the activity determination threshold value of the sub activity determination process that determines the activity that can occur in the sleep state in the sleep state Can be changed to a value that is easily determined to be the action, etc., so that erroneous determination can be further reduced.
 第6変形形態では、前記第1サブ行動判定処理は、予め設定された所定の時間間隔で、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第1行動であると、予め設定された第1継続判定時間、継続している場合に、前記第1行動であると最終的に判定する処理であり、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果に応じて第1サブ行動判定部1431が実行する第1サブ行動判定処理における第1継続判定時間を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1継続判定時間を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第1行動であると判定され易い値に、前記第1継続判定時間を変更する。上述の実施形態では、前記入床継続判定時間、前記起床継続判定時間および前記離床継続判定時間は、それぞれ、前記第1継続判定時間の一例に相当し、これら前記入床継続判定時間、前記起床継続判定時間および前記離床継続判定時間のうちの1または複数が、処理制御部144によって、睡眠状態判定部142の睡眠判定結果に応じて変更される。 In a sixth modification, the first sub-action determination process is preset, which is associated with the first sub-measurement result of the first sub-sensor and the first action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the first action by comparing it with the first action determination threshold value, and if the tentatively determined result that is temporarily determined is the first action, the preset first continuation determination The processing is finally determined to be the first action when continuing for a time, and the processing control unit 144 performs the first sub-operation according to the sleep determination result of the sleep state determination unit 142 as the control. The first continuation determination time in the first sub behavior determination process executed by the behavior determination unit 1431 is changed. As the control, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep. The first continuation determination time is changed to a value that is less likely to be determined as the first action than when both the degree and the reliability are low. As the control, when the sleep determination result of the sleep state determination unit 142 is low in both the sleep degree and the reliability, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability. The first continuation determination time is changed to a value that is more easily determined to be the first action than when any one of the degrees is high. In the above-mentioned embodiment, the admission continuation determination time, the wakeup continuation determination time, and the bedup continuation determination time respectively correspond to an example of the first continuation determination time, and these admission continuation determination times, the wakeup The processing control unit 144 changes one or more of the continuation determination time and the bed-up continuation determination time according to the sleep determination result of the sleep state determination unit 142.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理の継続判定時間を、前記行動であると実質的に判定できない値に変更すること等が可能となるので、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method, for example, continue determination of the sub activity determination process that determines an activity that can not occur in the sleep state in the sleep state. Since it is possible to change the time to a value that can not be substantially determined to be the action, it is possible to further reduce the erroneous determination.
 第7変形形態では、前記第2サブ行動判定処理は、予め設定された所定の時間間隔で、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第2行動であると、予め設定された第2継続判定時間、継続している場合に、前記第2行動であると最終的に判定する処理であり、処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果に応じて前記第2サブ行動判定部が実行する第2サブ行動判定処理における第2継続判定時間を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2継続判定時間を変更する。処理制御部144は、前記制御として、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第2行動であると判定され難い値に、前記第2継続判定時間を変更する。上述の実施形態では、前記微体動異常継続判定時間は、前記第2継続判定時間の一例に相当し、この前記微体動異常継続判定時間が、処理制御部144によって、睡眠状態判定部142の睡眠判定結果に応じて変更される。 In the seventh modified embodiment, the second sub action determination process is preset, which is associated with the second sub measurement result of the second sub sensor and the second action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the second action by comparing it with the second action determination threshold value, and if the temporary determination result temporarily determined is the second action, a second continuation determination set in advance is made. This is a process of finally determining the second action when continuing for a period of time, and the process control unit 144 performs the second control according to the sleep determination result of the sleep state determination unit 142 as the control. The second continuation determination time in the second sub behavior determination process executed by the sub behavior determination unit is changed. As the control, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep. The second continuation determination time is changed to a value that is more easily determined to be the second action than when both the degree and the reliability are low. As the control, when the sleep determination result of the sleep state determination unit 142 is low in both the sleep degree and the reliability, the process control unit 144 determines that the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability. The second continuation determination time is changed to a value that is less likely to be determined as the second action than when any one of the degrees is high. In the above embodiment, the micro movement abnormality continuation determination time corresponds to an example of the second continuation determination time, and the processing control unit 144 causes the sleep state determination unit 142 to determine the micro movement abnormality continuation determination time. It changes according to the sleep judgment result of.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態の場合に、睡眠状態で生じ得る行動を判定するサブ行動判定処理の継続判定時間を、前記行動であると判定され易い値に変更すること等が可能となるので、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method, for example, continue determination time of the sub activity determination process that determines an activity that may occur in the sleep state in the case of the sleep state. Can be changed to a value that is easily determined to be the action, etc., so that erroneous determination can be further reduced.
 第8変形形態では、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて、第1サブ行動判定部1431に前記第1サブセンサの第1サブ測定結果を使用させるか否か、および、第2サブ行動判定部1432に前記第2サブセンサの第2サブ測定結果を使用させるか否かを制御する。上述の実施形態や第1変形形態では、行動判定部143における行動判定処理の実行が制御され、第2変形形態では、行動判定部143における行動判定結果の出力が制御されたが、この第8変形形態では、行動判定部143の入力を制御することで、その実行の制御やその出力の制御によって得られる効果と同等の効果が得られる。より具体的には、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431に前記第1サブセンサの第1サブ測定結果(上述の実施形態ではセンサ部11のカメラ111で生成された対象画像)を使用させ、そして、第2サブ行動判定部1432に前記第2サブセンサの第2サブ測定結果(上述の実施形態ではセンサ部11のドップラセンサ112で生成されSU記憶部16に記憶されたドップラ信号)を使用させる。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理において、第1サブ行動判定部1431にカメラ111で生成された対象画像を使用させ、処理S28において、第2サブ行動判定部1432にドップラセンサ112で生成されSU記憶部16に記憶されたドップラ信号を使用させる。処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、第1サブ行動判定部1431に前記第1サブセンサの第1サブ測定結果(上述では対象画像)を使用させ、そして、第2サブ行動判定部1432に前記第2サブセンサの第2サブ測定結果(上述ではドップラ信号)を使用させない。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理において、第1サブ行動判定部1431にカメラ111で生成された対象画像を使用させ、処理S28において、第2サブ行動判定部1432にドップラセンサ112で生成されSU記憶部16に記憶されたドップラ信号を使用させない。すなわち、処理S28が実行されない。処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、第1サブ行動判定部1431に前記第1サブセンサの第1サブ測定結果(上述では対象画像)を使用させず、そして、第2サブ行動判定部1432に前記第2サブセンサの第2サブ測定結果(上述ではドップラ信号)を使用させる。一例では、処理制御部144は、図4を用いて説明した上述の処理S21ないし処理S27の各処理において、第1サブ行動判定部1431にカメラ111で生成された対象画像を使用させず、処理S28において、第2サブ行動判定部1432にドップラセンサ112で生成されSU記憶部16に記憶されたドップラ信号を使用させる。すなわち、処理S21ないし処理S27の各処理が実行されない。 In the eighth modified embodiment, the process control unit 144 determines whether the first sub behavior determination unit 1431 uses the first sub measurement result of the first sub sensor according to the sleep determination result of the sleep state determination unit 142, And, it is controlled whether or not to make the second sub behavior determination unit 1432 use the second sub measurement result of the second sub sensor. In the above-described embodiment and the first modification, the execution of the behavior determination processing in the behavior determination unit 143 is controlled, and in the second modification, the output of the behavior determination result in the behavior determination unit 143 is controlled. In the modification, by controlling the input of the action determination unit 143, an effect equivalent to the effect obtained by the control of the execution and the control of the output can be obtained. More specifically, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability degree is high, the process control unit 144 causes the first sub-action determination unit 1431 to execute the process. The first sub measurement result of one sub sensor (the target image generated by the camera 111 of the sensor unit 11 in the above embodiment) is used, and the second sub behavior determination unit 1432 performs the second sub measurement of the second sub sensor The result (in the above embodiment, the Doppler signal generated by the Doppler sensor 112 of the sensor unit 11 and stored in the SU storage unit 16) is used. In one example, the process control unit 144 causes the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG. In the second sub behavior determination unit 1432, the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16 is used. When the sleep determination result of the sleep state determination unit 142 indicates that both the sleep level and the reliability are low, the process control unit 144 causes the first sub behavior determination unit 1431 to perform the first sub measurement result of the first sub sensor (described above In the above, the target image is used, and the second sub behavior determination unit 1432 does not use the second sub measurement result of the second sub sensor (the Doppler signal in the above description). In one example, the process control unit 144 causes the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG. , The second sub behavior determination unit 1432 does not use the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16. That is, the process S28 is not performed. When the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability is high, the process control unit 144 causes the first sub behavior determination unit 1431 to select the first sub sensor of the first sub sensor. The measurement result (the target image as described above) is not used, and the second sub behavior determination unit 1432 uses the second sub measurement result of the second sub sensor (the Doppler signal as described above). In one example, the process control unit 144 does not cause the first sub behavior determination unit 1431 to use the target image generated by the camera 111 in each of the processes S21 to S27 described above with reference to FIG. 4. In S28, the second sub behavior determination unit 1432 uses the Doppler signal generated by the Doppler sensor 112 and stored in the SU storage unit 16. That is, each process of process S21 to process S27 is not performed.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定部にサブ測定結果を使用させなかったり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定部にサブ測定結果を使用させたり等するように、睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御することで、誤判定をより低減できる。 According to this, in the monitored person monitoring support system MS, the activity detection apparatus, and the activity detection method, for example, the sub activity determination unit that determines the activity that can not occur in the sleep state does not use the sub measurement result Conversely, control the action determination unit 143 according to the sleep determination result of the sleep state determination unit 142 so that the sub-action determination unit determines the action that may occur in the sleep state, or the like. False positives can be further reduced.
 第9変形形態では、前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果および過去の第1サブ行動判定結果に基づいて、今回、第1行動であるか否かを判定する処理であり、処理制御部144は、睡眠状態判定部142の睡眠判定結果に応じて今回の第1サブ行動判定結果を予め設定された規定値に強制的に変更する。上述の実施形態では、前記状態変数が過去の第1サブ行動判定結果の一例に相当する。例えば、処理制御部144は、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記状態変数を「入床」で強制的に更新する。このため、起床が誤判定されても、再度、起床が判定できるようになり、誤判定をより低減できる。 In a ninth modified embodiment, the first sub-action determination process determines whether or not it is the first action this time based on the first sub-measurement result of the first sub-sensor and the past first sub-action determination result. The processing control unit 144 forcibly changes the current first sub-action determination result to a preset specified value in accordance with the sleep determination result of the sleep state determination unit 142. In the above-mentioned embodiment, the state variable corresponds to an example of the past first sub-action determination result. For example, when the sleep determination result of the sleep state determination unit 142 indicates that either the sleep degree or the reliability degree is high, the process control unit 144 forcibly updates the state variable with “bed entry”. . Therefore, even if the wakeup is erroneously determined, the wakeup can be determined again, and the erroneous determination can be further reduced.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、睡眠状態判定部142の睡眠判定結果に応じて今回の第1サブ行動判定結果を予め設定された規定値に強制的に変更するので、次回の第1サブ行動判定処理をより適切に処理でき、誤判定をより低減できる。 According to this, the above-mentioned person-to-be-monitored monitoring support system MS, the above-mentioned action detection device and the above-mentioned action detection method set the current first sub-action determination result in advance according to the sleep determination result of the sleep state determination unit 142 Since the value is forcibly changed to the prescribed value, the next first sub-action determination process can be processed more appropriately, and erroneous determinations can be further reduced.
 第10変形形態では、図2に破線で示すように、センサ装置SUは、年月日時分を計時する時計部147を、SU制御処理部14に機能的にさらに備え、少なくとも睡眠の時間帯を含む被監視者Obのスケジュール、を表すスケジュール情報を被監視者Obに対応付けて記憶するスケジュール情報記憶部161を、SU記憶部16にさらにを備え、処理制御部144は、時計部147から現在の時刻を取得し、この取得した現在の時刻に対応する被監視者Obのスケジュールをスケジュール情報記憶部161から抽出し、この抽出した被監視者Obのスケジュールおよび睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御する。例えば、現在の時刻に対応する被監視者Obのスケジュールが睡眠の時間帯であれば、処理制御部144は、例えば、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1行動判定閾値を変更したり、また例えば、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2行動判定閾値を変更したり、また例えば、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1継続判定時間を変更したり、また例えば、睡眠状態判定部142の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2継続判定時間を変更したり等する。 In the tenth modified embodiment, as shown by the broken line in FIG. 2, the sensor unit SU functionally further includes a clock unit 147 for clocking the date and time in the SU control processing unit 14, and at least a sleep time zone The SU storage unit 16 is further provided with a schedule information storage unit 161 that stores schedule information representing the schedule of the included monitored person Ob in association with the monitored person Ob, and the processing control unit 144 The schedule of the monitored person Ob corresponding to the acquired current time is extracted from the schedule information storage unit 161, and the extracted schedule of the monitored person Ob and the sleep determination result of the sleep state determination unit 142 are extracted. The action determination unit 143 is controlled according to For example, if the schedule of the monitored person Ob corresponding to the current time is a sleep time zone, the processing control unit 144 may, for example, determine that the sleep determination result of the sleep state determination unit 142 has both the sleep level and the reliability level. The first action determination threshold is changed to a value that is less likely to be determined as the first action than when it is low, or, for example, the sleep determination result of the sleep state determination unit 142 indicates the sleep degree and the reliability The second action determination threshold is changed to a value that is more likely to be determined to be the second action than when both are low, or, for example, the sleep determination result of the sleep state determination unit 142 is the sleep degree and the reliability The first continuation determination time is changed to a value that is less likely to be determined as the first action than when both are low, or, for example, the sleep determination result of the sleep state determination unit 142 is the sleep degree and the confidence Every time The determined likely value and the a second behavior than in case both low, equally or change the second continuation determination time.
 これによれば、上記被監視者監視支援システムMS、上記行動検知装置および上記行動検知方法は、被監視者Obのスケジュールおよび睡眠状態判定部142の睡眠判定結果に応じて行動判定部143を制御するので、被監視者Obのスケジュールを勘案でき、誤判定をより低減できる。 According to this, the monitored person monitoring support system MS, the activity detecting device and the activity detecting method control the activity determining unit 143 according to the schedule of the monitored person Ob and the sleep determination result of the sleep state determining unit 142. As a result, the schedule of the person to be monitored Ob can be taken into consideration, and false decisions can be further reduced.
 本明細書は、上記のように様々な態様の技術を開示しているが、そのうち主な技術を以下に纏める。 Although the present specification discloses various aspects of the technology as described above, the main technologies are summarized below.
 一態様にかかる行動検知装置は、被監視者を測定する第1および第2センサと、前記第1センサの第1測定結果に基づいて前記被監視者の睡眠状態を判定する睡眠状態判定部と、前記第2センサの第2測定結果に基づいて前記被監視者における所定の行動を判定する行動判定部と、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御する処理制御部とを備える。 An activity detection apparatus according to an aspect includes first and second sensors for measuring a person to be monitored, and a sleep state determination unit that determines a sleep state of the person to be monitored based on a first measurement result of the first sensor. An action determination unit that determines a predetermined action of the person to be monitored based on a second measurement result of the second sensor, and a process control that controls the action determination unit according to a sleep determination result of the sleep state determination unit And a unit.
 例えば、被監視者が睡眠状態であれば、例えば入床、離床および転倒等の行動は、生じ得ず、行動判定部がこのような睡眠状態では生じ得ない行動を判定した場合、それは、誤判定である蓋然性が高い。上記行動検知装置は、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御するので、誤判定をより低減できる。 For example, if the person being monitored is in a sleep state, for example, no action such as admission, leaving or falling can not occur, and if the action determination unit determines an action that can not occur in such a sleep state, that is false. The probability of being a judgment is high. The behavior detection device controls the behavior determination unit according to the sleep determination result of the sleep state determination unit, so that erroneous determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記第2センサは、被監視者を測定する第1および第2サブセンサを含み、前記行動判定部は、前記第1サブセンサの第1サブ測定結果に基づいて前記被監視者における所定の行動のうち、第1グループに属する第1行動を判定する第1サブ行動判定処理を実行する第1サブ行動判定部と、前記第2サブセンサの第2サブ測定結果に基づいて前記被監視者における所定の行動のうち、前記第1グループと異なる第2グループに属する第2行動を判定する第2サブ行動判定処理を実行する第2サブ行動判定部とを含み、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて前記第1および第2サブ行動判定部のうちの少なくともいずれかを制御する。好ましくは、上述の行動検知装置において、前記第1行動は、被監視者が寝具に入った入床、被監視者が起きた起床、被監視者が寝具から離れた離床、被監視者が寝具から落ちた転落、および、被監視者が寝具外で倒れた転倒を含む。好ましくは、上述の行動検知装置において、前記第2行動は、被監視者の呼吸による微体動の異常である微体動異常を含む。好ましくは、上述の行動検知装置において、前記第1センサおよび第2サブセンサは、兼用の1つのドップラセンサであり、前記睡眠状態判定部は、前記ドップラセンサのドップラ信号に基づいて前記被監視者の睡眠状態を判定する睡眠状態判定処理を実行し、前記第2サブ行動判定部は、前記ドップラセンサのドップラ信号に基づいて前記被監視者における所定の行動のうち、前記第1グループと異なる第2グループに属する第2行動を判定する第2サブ行動判定処理を実行する。 In another aspect, in the above-described behavior detection device, the second sensor includes first and second sub-sensors that measure a person to be monitored, and the behavior determination unit determines a first sub-measurement result of the first sub-sensor. A first sub-action determining unit that executes a first sub-action determining process of determining a first action belonging to the first group among the predetermined actions of the person to be monitored based on the second sub-sensor; A second sub-action determining unit that executes a second sub-action determining process of determining a second action belonging to a second group different from the first group among the predetermined actions of the monitored person based on a measurement result; The process control unit controls at least one of the first and second sub-action determination units according to the sleep determination result of the sleep state determination unit. Preferably, in the above-described behavior detection apparatus, the first behavior is entering the bed when the monitored person enters the bedding, getting up when the monitored person wakes up, leaving the monitored person away from the bedding, and the monitored person bedding Includes falls that have fallen from it, and falls where the monitored person falls outside the bedding. Preferably, in the above-mentioned action detection device, the second action includes a movement abnormality that is an abnormality of movement due to breathing of a person being monitored. Preferably, in the above-described behavior detection device, the first sensor and the second sub-sensor are one dual-use Doppler sensor, and the sleep state determination unit is based on the Doppler signal of the Doppler sensor. A sleep state determination process of determining a sleep state, and the second sub-action determination unit is configured to select a second action different from the first group among the predetermined actions of the person to be monitored based on the Doppler signal of the Doppler sensor; A second sub-action determination process is performed to determine a second action belonging to a group.
 このような行動検知装置は、前記所定の行動を、睡眠状態で生じ得ない第1グループに属する第1行動と、睡眠状態で生じ得る第2グループに属する第2行動とに分けることが可能となるので、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部をより適切に制御でき、誤判定をより低減できる。 Such an action detection device can divide the predetermined action into a first action belonging to a first group which can not occur in the sleep state and a second action belonging to a second group which can occur in the sleep state. Therefore, the behavior determination unit can be more appropriately controlled according to the sleep determination result of the sleep state determination unit, and erroneous determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部における前記第1サブ行動判定処理を実行するか否か、および、前記第2サブ行動判定部における前記第2サブ行動判定処理を実行するか否かを制御する。好ましくは、上述の行動検知装置において、前記睡眠状態判定部は、前記第1センサの第1測定結果に基づいて前記被監視者の睡眠の深さの度合いを表す睡眠度および前記睡眠度に対する信頼性の度合いを表す信頼度を求める。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部に前記第1サブ行動判定処理を実行させず、そして、前記第2サブ行動判定部に前記第2サブ行動判定処理を実行させる。前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合とは、前記睡眠度が予め設定された所定の睡眠判定閾値以上である場合、または、前記信頼度が予め設定された所定の信頼判定閾値以上である場合である。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第1サブ行動判定部に前記第1サブ行動判定処理を実行させ、そして、前記第2サブ行動判定部に前記第2サブ行動判定処理を実行させない。前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合とは、前記睡眠度が予め設定された所定の睡眠判定閾値未満であって、かつ、前記信頼度が予め設定された所定の信頼判定閾値未満である場合である。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第2サブ行動判定部のみを制御対象とし、前記第2サブ行動判定部に前記第2サブ行動判定処理を実行させる。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第2サブ行動判定部のみを制御対象とし、前記第2サブ行動判定部に前記第2サブ行動判定処理を実行させない。 In another one mode, in the above-mentioned action detection device, the processing control unit executes the first sub-action judging process in the first sub-action judging unit according to the sleep judgment result of the sleep state judging unit. It controls whether or not to execute the second sub action determination process in the second sub action determination unit. Preferably, in the above-described behavior detection device, the sleep state determination unit represents the degree of sleep representing the degree of depth of sleep of the person to be monitored based on the first measurement result of the first sensor, and confidence in the degree of sleep Find the degree of confidence that represents the degree of gender. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The unit does not execute the first sub action determination process, and causes the second sub action determination unit to execute the second sub action determination process. When the sleep determination result of the sleep state determination unit is one of the sleep degree and the reliability is high, the sleep degree is equal to or more than a predetermined sleep determination threshold set in advance, or In this case, the degree is equal to or more than a predetermined confidence determination threshold value set in advance. Preferably, in the above-described behavior detection device, the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. One sub-action determination processing is executed, and the second sub-action determination unit is not caused to execute the second sub-action determination processing. When the sleep determination result of the sleep state determination unit indicates that both the sleep degree and the reliability are low, the sleep degree is less than a predetermined sleep determination threshold set in advance, and the reliability is set in advance. In this case, it is less than the predetermined confidence determination threshold. Preferably, in the above-described behavior detection device, the processing control unit determines that the second sub-action determination is performed when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. Only the unit is to be controlled, and the second sub behavior determination unit is caused to execute the second sub behavior determination process. Preferably, in the above-described behavior detection device, the process control unit controls only the second sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The target is not to cause the second sub-action determination unit to execute the second sub-action determination process.
 このような行動検知装置は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のみを実行したり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定処理のみを実行したり等するように、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御することで、誤判定をより低減できる。 Such an activity detection apparatus executes, for example, only a sub-action determination process that determines an action that can not occur in the sleep state, or conversely performs only a sub-action determination process that determines an action that may occur in the sleep state. By controlling the behavior determination unit in accordance with the sleep determination result of the sleep state determination unit so as to reduce the false determination, false determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部における第1サブ行動判定結果の出力を行うか否か、および、前記第2サブ行動判定部における第2サブ行動判定結果の出力を行うか否かを制御する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部に前記第1サブ行動判定結果の出力を行わせず、そして、前記第2サブ行動判定部に前記第2サブ行動判定結果の出力を行わせる。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第1サブ行動判定部に前記第1サブ行動判定結果の出力を行わせ、そして、前記第2サブ行動判定部に前記第2サブ行動判定結果の出力を行わせない。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第2サブ行動判定部のみを制御対象とし、前記第2サブ行動判定部に前記第2サブ行動判定結果の出力を行わせる。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第2サブ行動判定部のみを制御対象とし、前記第2サブ行動判定部に前記第2サブ行動判定結果の出力を行わせない。 In another mode, in the above-mentioned action detection device, the processing control unit outputs the first sub-action determination result in the first sub-action determination unit according to the sleep determination result of the sleep state determination unit. It controls whether or not to output the second sub-action determination result in the second sub-action determining unit. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The unit does not output the first sub-action determination result, and causes the second sub-action determination unit to output the second sub-action determination result. Preferably, in the above-described behavior detection device, the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The first sub-action determination result is output, and the second sub-action determination unit does not output the second sub-action determination result. Preferably, in the above-described behavior detection device, the processing control unit determines that the second sub-action determination is performed when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. Only the unit is to be controlled, and the second sub-action judging unit outputs the second sub-action judgment result. Preferably, in the above-described behavior detection device, the process control unit controls only the second sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. It is an object, and the second sub behavior determination unit does not output the second sub behavior determination result.
 このような行動検知装置は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のサブ行動判定結果のみを出力したり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定処理のサブ行動判定結果のみを出力したり等するように、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御することで、誤判定をより低減できる。 Such a behavior detection apparatus outputs, for example, only the sub-action determination result of the sub-action determination process that determines an action that can not occur in the sleep state, or conversely determines the action that can occur in the sleep state. By controlling the behavior determination unit according to the sleep determination result of the sleep state determination unit so as to output only the sub behavior determination result of processing or the like, erroneous determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部における第1サブ行動判定結果を前記第2サブ行動判定部における第2サブ行動判定結果で補助するか否かを制御する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部における第1サブ行動判定結果を前記第2サブ行動判定部における第2サブ行動判定結果で補助し、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第1サブ行動判定部における第1サブ行動判定結果を前記第2サブ行動判定部における第2サブ行動判定結果で補助しない。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部における第1サブ行動判定結果を前記第2サブ行動判定部における第2サブ行動判定結果に書き換える。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部における第1サブ行動判定結果に前記第2サブ行動判定部における前記第2サブ行動判定結果を追記する。 In another aspect, in the above-described behavior detection device, the processing control unit determines a first sub-action determination result in the first sub-action determination unit according to the sleep determination result of the sleep state determination unit as the second sub-action It is controlled whether or not the second sub-action determination result in the action determination unit is to be assisted. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. When the first sub-behavior determination result in the section is assisted by the second sub-behavior determination result in the second sub-behavior determination unit, and the sleep determination result of the sleep state determination unit indicates that both the sleep degree and the reliability are low The first sub behavior determination result in the first sub behavior determination unit is not assisted by the second sub behavior determination result in the second sub behavior determination unit. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The first sub-action determination result in the unit is rewritten to the second sub-action determination result in the second sub-action determination unit. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The second sub-action determination result in the second sub-action determination unit is added to the first sub-action determination result in the unit.
 このような行動検知装置は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理のサブ行動判定結果を、睡眠状態で生じ得る行動を判定するサブ行動判定処理のサブ行動判定結果で補助すること等が可能となるので、誤判定をより低減できる。 Such a behavior detection apparatus determines, for example, a sub-action determination result of a sub-action determination process that determines an action that can not occur in the sleep state in the sleep state, and determines an action that can occur in the sleep state Since it becomes possible to assist with the sub-action determination result of the above, erroneous determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを判定する処理であり、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部が実行する第1サブ行動判定処理における第1行動判定閾値を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1行動判定閾値を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第1行動であると判定され易い値に、前記第1行動判定閾値を変更する。 In another aspect, in the above-described behavior detection device, the first sub-action determination process includes a first preset measurement result associated with the first sub-measurement result of the first sub-sensor and the first action. It is a process which determines whether it is the said 1st action by comparing with an action determination threshold value, and the said process control part is said 1st according to the sleep determination result of the said sleep state determination part as said control. The first action determination threshold value in the first sub action determination process executed by the sub action determination unit is changed. Preferably, in the above-described behavior detection device, the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The first behavior determination threshold is changed to a value that is less likely to be determined as the first behavior than when the sleep determination result of the state determination unit is low in both the sleep level and the reliability. Preferably, in the above-described behavior detection device, the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The first behavior determination threshold is changed to a value that is more likely to be determined as the first behavior as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability is high.
 このような行動検知装置は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理の行動判定閾値を、前記行動であると実質的に判定できない値に変更すること等が可能となるので、誤判定をより低減できる。 Such a behavior detection apparatus, for example, changes the behavior determination threshold value of the sub behavior determination process that determines the behavior that can not occur in the sleep state to a value that can not be substantially determined as the behavior in the sleep state. Since it becomes possible to do so, it is possible to further reduce the erroneous determination.
 他の一態様では、上述の行動検知装置において、前記第2サブ行動判定処理は、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを判定する処理であり、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第2サブ行動判定部が実行する第2サブ行動判定処理における第2行動判定閾値を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第2行動であると判定され難い値に、前記第2行動判定閾値を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2行動判定閾値を変更する。 In another aspect, in the above-described behavior detecting device, the second sub-action determining process is performed by setting a second sub-measurement result of the second sub-sensor and a preset second associated with the second action. It is a process which determines whether it is the said 2nd action by comparing with an action determination threshold value, and the said process control part is said 2nd according to the sleep determination result of the said sleep state determination part as said control. The second action determination threshold value in the second sub action determination process performed by the sub action determination unit is changed. Preferably, in the above-described behavior detection device, the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The second behavior determination threshold value is changed to a value that is less likely to be determined as the second behavior as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability degree is high. Preferably, in the above-described behavior detection device, the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The second behavior determination threshold is changed to a value that is more likely to be determined as the second behavior than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability.
 このような行動検知装置は、例えば、睡眠状態の場合に、睡眠状態で生じ得る行動を判定するサブ行動判定処理の行動判定閾値を、前記行動であると判定され易い値に変更すること等が可能となるので、誤判定をより低減できる。 Such a behavior detection apparatus, for example, changes the behavior determination threshold value of the sub behavior determination process that determines the behavior that may occur in the sleep state to a value that is easily determined to be the behavior in the case of the sleep state. Since this becomes possible, it is possible to further reduce the erroneous determination.
 他の一態様では、上述の行動検知装置において、前記第1サブ行動判定処理は、予め設定された所定の時間間隔で、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第1行動であると、予め設定された第1継続判定時間、継続している場合に、前記第1行動であると最終的に判定する処理であり、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部が実行する第1サブ行動判定処理における第1継続判定時間を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第1行動であると判定され難い値に、前記第1継続判定時間を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第1行動であると判定され易い値に、前記第1継続判定時間を変更する。 In another aspect, in the above-described behavior detection device, the first sub-action determination process corresponds to a first sub-measurement result of the first sub-sensor and the first action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the first action by comparing it with a preset first action determination threshold value, and if the provisionally determined temporary determination result is the first action, it is determined in advance. It is a process which finally determines that it is the said 1st action, when continuing for the set 1st continuation determination time, and the said process control part is a sleep determination of the said sleep state determination part as said control. The first continuation determination time in the first sub behavior determination process performed by the first sub behavior determination unit is changed according to the result. Preferably, in the above-described behavior detection device, the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The first continuation determination time is changed to a value that is less likely to be determined as the first action than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability. Preferably, in the above-described behavior detection device, the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The first continuation determination time is changed to a value that is more likely to be determined to be the first action than when the sleep determination result is high in either the sleep degree or the reliability.
 このような行動検知装置は、例えば、睡眠状態の場合に、睡眠状態で生じ得ない行動を判定するサブ行動判定処理の継続判定時間を、前記行動であると実質的に判定できない値に変更すること等が可能となるので、誤判定をより低減できる。 Such a behavior detection apparatus, for example, changes the continuation determination time of the sub behavior determination process that determines the behavior that can not occur in the sleep state to a value that can not be substantially determined as the behavior in the sleep state. Since it becomes possible to do so, it is possible to further reduce the erroneous determination.
 他の一態様では、上述の行動検知装置において、前記第2サブ行動判定処理は、予め設定された所定の時間間隔で、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第2行動であると、予め設定された第2継続判定時間、継続している場合に、前記第2行動であると最終的に判定する処理であり、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第2サブ行動判定部が実行する第2サブ行動判定処理における第2継続判定時間を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合に比し前記第2行動であると判定され易い値に、前記第2継続判定時間を変更する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合に比し前記第2行動であると判定され難い値に、前記第2継続判定時間を変更する。 In another aspect, in the above-described behavior detection device, the second sub-action determination process corresponds to a second sub-measurement result of the second sub-sensor and the second action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the second action by comparing it with a preset second action determination threshold value, and if the provisionally determined temporary determination result is the second action, it is determined in advance. The processing is finally determined to be the second action when continuing for the set second continuation determination time, and the processing control unit determines the sleep determination of the sleep state determination unit as the control. According to the result, the second continuation determination time in the second sub-action determination process performed by the second sub-action determination unit is changed. Preferably, in the above-described behavior detection device, the process control unit performs the control when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The second continuation determination time is changed to a value that is more likely to be determined as the second action than when the sleep determination result of the state determination unit is low in both the sleep degree and the reliability. Preferably, in the above-described behavior detection device, the processing control unit may perform, as the control, the sleep state determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The second continuation determination time is changed to a value that is less likely to be determined as the second action as compared with the case where the sleep determination result indicates that either the sleep degree or the reliability is high.
 このような行動検知装置は、例えば、睡眠状態の場合に、睡眠状態で生じ得る行動を判定するサブ行動判定処理の継続判定時間を、前記行動であると判定され易い値に変更すること等が可能となるので、誤判定をより低減できる。 Such a behavior detection apparatus, for example, changes the continuation determination time of the sub behavior determination process that determines the behavior that may occur in the sleep state to a value that is easily determined to be the behavior in the case of the sleep state. Since this becomes possible, it is possible to further reduce the erroneous determination.
 他の一態様では、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部に前記第1サブセンサの第1サブ測定結果を使用させるか否か、および、前記第2サブ行動判定部に前記第2サブセンサの第2サブ測定結果を使用させるか否かを制御する。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部に前記第1サブセンサの第1サブ測定結果を使用させ、そして、前記第2サブ行動判定部に前記第2サブセンサの第2サブ測定結果を使用させる。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度が共に低い場合には、前記第1サブ行動判定部に前記第1サブセンサの第1サブ測定結果を使用させ、そして、前記第2サブ行動判定部に前記第2サブセンサの第2サブ測定結果を使用させない。好ましくは、上述の行動検知装置において、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果が前記睡眠度および前記信頼度のうちのいずれかが高い場合には、前記第1サブ行動判定部に前記第1サブセンサの第1サブ測定結果を使用させず、そして、前記第2サブ行動判定部に前記第2サブセンサの第2サブ測定結果を使用させる。 In another aspect, in the above-described behavior detection device, the processing control unit causes the first sub-action determination unit to generate a first sub-measurement result of the first sub-sensor according to a sleep determination result of the sleep state determination unit. And whether or not to cause the second sub-operation determination unit to use the second sub-measurement result of the second sub-sensor. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The control unit causes the unit to use the first sub measurement result of the first sub sensor, and causes the second sub behavior determination unit to use the second sub measurement result of the second sub sensor. Preferably, in the above-described behavior detection device, the processing control unit causes the first sub-action determination unit to select the first sub-action determination unit when the sleep determination result of the sleep state determination unit is low in both the sleep degree and the reliability. The first sub measurement result of one sub sensor is used, and the second sub behavior determination unit does not use the second sub measurement result of the second sub sensor. Preferably, in the above-described behavior detection device, the processing control unit determines the first sub-action determination when the sleep determination result of the sleep state determination unit indicates that either the sleep degree or the reliability is high. The control unit does not use the first sub measurement result of the first sub sensor, and causes the second sub behavior determination unit to use the second sub measurement result of the second sub sensor.
 このような行動検知装置は、例えば、睡眠状態で生じ得ない行動を判定するサブ行動判定部にサブ測定結果を使用させなかったり、逆に、睡眠状態で生じ得る行動を判定するサブ行動判定部にサブ測定結果を使用させたり等するように、前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御することで、誤判定をより低減できる。 Such a behavior detection apparatus does not use the sub-measurement result in, for example, the sub behavior determination unit that determines the behavior that can not occur in the sleep state, or conversely determines the behavior that can occur in the sleep state. By controlling the behavior determination unit according to the sleep determination result of the sleep state determination unit so as to use the sub-measurement result, etc., false determination can be further reduced.
 他の一態様では、上述の行動検知装置において、前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果および過去の第1サブ行動判定結果に基づいて、今回、第1行動であるか否かを判定する処理であり、前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて今回の第1サブ行動判定結果を予め設定された規定値に強制的に変更する。 In another aspect, in the above-described action detection device, the first sub-action determination process is a first action this time based on a first sub-measurement result of the first sub-sensor and a first sub-action determination result in the past. And the processing control unit forcibly changes the current first sub-action determination result to a preset predetermined value according to the sleep determination result of the sleep state determination unit. Do.
 このような行動検知装置は、前記睡眠状態判定部の睡眠判定結果に応じて今回の第1サブ行動判定結果を予め設定された規定値に強制的に変更するので、次回の第1サブ行動判定処理をより適切に処理でき、誤判定をより低減できる。 Since such an action detection device forcibly changes the current first sub-action determination result to a preset prescribed value according to the sleep determination result of the sleep state determination unit, the next first sub-action determination is performed. Processing can be more appropriately processed, and false determinations can be further reduced.
 他の一態様では、これら上述の行動検知装置において、年月日時分を計時する時計部と、少なくとも睡眠の時間帯を含む前記被監視者のスケジュール、を表すスケジュール情報を前記被監視者に対応付けて記憶するスケジュール情報記憶部とを備え、前記処理制御部は、前記時計部から現在の時刻を取得し、前記取得した現在の時刻に対応する前記被監視者のスケジュールを前記スケジュール情報記憶部から抽出し、前記抽出した前記被監視者のスケジュールおよび前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御する。 In another aspect, in the above-described behavior detection device, the watch person is provided with schedule information representing a watch of the date and time and a schedule of the person to be monitored including at least a sleep time zone. And the process control unit acquires the current time from the clock unit, and the schedule information storage unit corresponds to the schedule of the person to be monitored corresponding to the acquired current time. And the behavior determination unit is controlled according to the extracted schedule of the monitored person and the sleep determination result of the sleep state determination unit.
 このような行動検知装置は、前記被監視者のスケジュールおよび前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御するので、被監視者のスケジュールを勘案でき、誤判定をより低減できる。 Such a behavior detection device controls the behavior determination unit according to the schedule of the monitored person and the sleep determination result of the sleep state determination unit, so that the schedule of the monitored person can be taken into consideration, thereby reducing erroneous determinations. it can.
 他の一態様にかかる行動検知方法は、第1および第2センサそれぞれで被監視者を測定する測定工程と、前記第1センサの第1測定結果に基づいて前記被監視者の睡眠状態を判定する睡眠状態判定工程と、前記第2センサの第2測定結果に基づいて前記被監視者における所定の行動を判定する行動判定工程と、前記睡眠状態判定工程の睡眠判定結果に応じて前記行動判定工程を制御する処理制御工程とを備える。 In the behavior detecting method according to another aspect, the sleep state of the person to be monitored is determined based on the measurement step of measuring the person to be monitored by the first and second sensors, and the first measurement result of the first sensor. The action determination step according to the sleep determination result of the sleep state determination step, the action determination step of determining the predetermined action of the monitored person based on the second measurement result of the second sensor, and the sleep state determination step And a process control process for controlling the process.
 このような行動検知方法は、前記睡眠状態判定工程の睡眠判定結果に応じて前記行動判定工程を制御するので、誤判定をより低減できる。 Such a behavior detection method controls the behavior determination process according to the sleep determination result of the sleep state determination process, so that erroneous determination can be further reduced.
 他の一態様にかかる被監視者監視支援システムは、被監視者に対応して設けられ、前記被監視者における所定の行動を検知するセンサ装置、前記センサ装置と通信可能に接続され前記センサ装置から受信した検知結果を管理する中央処理装置、および、前記中央処理装置と通信可能に接続され前記中央処理装置を介して前記検知結果を受信して表示する端末装置を備え、前記被監視者の監視を支援するための被監視者監視支援システムであって、前記センサ装置は、これら上述のいずれかの行動検知装置を含む。 A monitored person monitoring support system according to another aspect is provided corresponding to the monitored person, the sensor device detecting a predetermined behavior of the monitored person, and the sensor device communicably connected to the sensor device Central processing unit for managing detection results received from the server, and a terminal device communicably connected to the central processing unit and receiving and displaying the detection results via the central processing unit, It is a to-be-monitored person monitoring assistance system for supporting monitoring, and the said sensor apparatus contains one of these above-mentioned action detection apparatuses.
 これによれば、これら上述のいずれかの行動検知装置を用いた被監視者監視支援システムが提供できる。このような被監視者監視支援システムは、これら上述のいずれかの行動検知装置を用いるので、誤判定をより低減できる。 According to this, it is possible to provide a person-to-be-monitored support system using any of the above-described behavior detection devices. Such a person-to-be-monitored support system uses any one of the above-described action detection devices, so that it is possible to further reduce erroneous determinations.
 この出願は、2017年8月10日に出願された日本国特許出願特願2017-155073を基礎とするものであり、その内容は、本願に含まれるものである。 This application is based on Japanese Patent Application No. 2017-155073 filed on Aug. 10, 2017, the contents of which are incorporated in the present application.
 本発明の実施形態が詳細に図示され、かつ、説明されたが、それは単なる図例及び実例であって限定ではない。本発明の範囲は、添付されたクレームの文言によって解釈されるべきである。 Although embodiments of the present invention have been illustrated and described in detail, it is merely illustrative and not restrictive. The scope of the present invention should be interpreted by the terms of the appended claims.
 本発明を表現するために、上述において図面を参照しながら実施形態を通して本発明を適切且つ十分に説明したが、当業者であれば上述の実施形態を変更および/または改良することは容易に為し得ることであると認識すべきである。したがって、当業者が実施する変更形態または改良形態が、請求の範囲に記載された請求項の権利範囲を離脱するレベルのものでない限り、当該変更形態または当該改良形態は、当該請求項の権利範囲に包括されると解釈される。 While the present invention has been properly and sufficiently described above through the embodiments with reference to the drawings in order to express the present invention, those skilled in the art can easily change and / or improve the above embodiments. It should be recognized that it is possible. Therefore, unless a change or improvement implemented by a person skilled in the art is at a level that deviates from the scope of the claims set forth in the claims, the change or the improvement is the scope of the rights of the claim It is interpreted as being included in
 本発明によれば、監視対象である被監視者における所定の行動を検知する行動検知装置および行動検知方法ならびにこの行動検知装置を用いた被監視者監視支援システムが提供できる。
 
According to the present invention, it is possible to provide an activity detection apparatus and an activity detection method for detecting a predetermined activity of a monitored person to be monitored, and a monitored person monitoring support system using the activity detection apparatus.

Claims (14)

  1.  被監視者を測定する第1および第2センサと、
     前記第1センサの第1測定結果に基づいて前記被監視者の睡眠状態を判定する睡眠状態判定部と、
     前記第2センサの第2測定結果に基づいて前記被監視者における所定の行動を判定する行動判定部と、
     前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御する処理制御部とを備える、
     行動検知装置。
    First and second sensors for measuring the monitored person;
    A sleep state determination unit that determines a sleep state of the person to be monitored based on a first measurement result of the first sensor;
    An action determining unit that determines a predetermined action of the person to be monitored based on a second measurement result of the second sensor;
    And a processing control unit that controls the behavior determination unit according to the sleep determination result of the sleep state determination unit.
    Behavior detection device.
  2.  前記第2センサは、被監視者を測定する第1および第2サブセンサを含み、
     前記行動判定部は、前記第1サブセンサの第1サブ測定結果に基づいて前記被監視者における所定の行動のうち、第1グループに属する第1行動を判定する第1サブ行動判定処理を実行する第1サブ行動判定部と、前記第2サブセンサの第2サブ測定結果に基づいて前記被監視者における所定の行動のうち、前記第1グループと異なる第2グループに属する第2行動を判定する第2サブ行動判定処理を実行する第2サブ行動判定部とを含み、
     前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて前記第1および第2サブ行動判定部のうちの少なくともいずれかを制御する、
     請求項1に記載の行動検知装置。
    The second sensor includes first and second sub-sensors that measure the monitored person,
    The said action determination part performs the 1st sub action determination processing which determines the 1st action which belongs to the 1st group among predetermined actions in the said person to be monitored based on the 1st sub measurement result of the 1st sub sensor The second sub-operation belonging to the second group different from the first group among the predetermined activities of the person to be monitored based on the first sub-operation judging unit and the second sub-measurement result of the second sub-sensor And 2) a second sub-action determining unit that executes the second sub-action determining process,
    The process control unit controls at least one of the first and second sub-action determination units according to the sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 1.
  3.  前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部における前記第1サブ行動判定処理を実行するか否か、および、前記第2サブ行動判定部における前記第2サブ行動判定処理を実行するか否かを制御する、
     請求項2に記載の行動検知装置。
    The process control unit determines whether or not the first sub behavior determination process in the first sub behavior determination unit is to be performed according to the sleep determination result of the sleep state determination unit, and the second sub behavior determination unit Control whether or not to execute the second sub-action determination process in
    The behavior detection device according to claim 2.
  4.  前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部における第1サブ行動判定結果の出力を行うか否か、および、前記第2サブ行動判定部における第2サブ行動判定結果の出力を行うか否かを制御する、
     請求項2に記載の行動検知装置。
    Whether the processing control unit outputs the first sub-action determination result in the first sub-action determining unit according to the sleep determination result of the sleep state determining unit, and the second sub-action determining unit Control whether or not to output the second sub-action determination result in
    The behavior detection device according to claim 2.
  5.  前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部における第1サブ行動判定結果を前記第2サブ行動判定部における第2サブ行動判定結果で補助するか否かを制御する、
     請求項2に記載の行動検知装置。
    The processing control unit assists the first sub-behavior determination result in the first sub-behavior determination unit according to the second sub-behavior determination result in the second sub-behavior determination unit according to the sleep determination result of the sleep state determination unit. Control whether or not
    The behavior detection device according to claim 2.
  6.  前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを判定する処理であり、
     前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部が実行する第1サブ行動判定処理における第1行動判定閾値を変更する、
     請求項2に記載の行動検知装置。
    The first sub-action determination process compares the first sub-measurement result of the first sub-sensor with a preset first action determination threshold value associated with the first action, and the first action is determined. It is processing to determine whether or not
    The process control unit changes, as the control, a first behavior determination threshold value in a first sub behavior determination process performed by the first sub behavior determination unit according to a sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 2.
  7.  前記第2サブ行動判定処理は、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを判定する処理であり、
     前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第2サブ行動判定部が実行する第2サブ行動判定処理における第2行動判定閾値を変更する、
     請求項2に記載の行動検知装置。
    The second sub-action determination process compares the second sub-measurement result of the second sub-sensor with a preset second action determination threshold value associated with the second action and the second action. It is processing to determine whether or not
    The process control unit changes, as the control, a second behavior determination threshold in a second behavior determination process executed by the second behavior determination unit according to a sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 2.
  8.  前記第1サブ行動判定処理は、予め設定された所定の時間間隔で、前記第1サブセンサの第1サブ測定結果と、前記第1行動に対応付けられた、予め設定された第1行動判定閾値とを比較することによって前記第1行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第1行動であると、予め設定された第1継続判定時間、継続している場合に、前記第1行動であると最終的に判定する処理であり、
     前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第1サブ行動判定部が実行する第1サブ行動判定処理における第1継続判定時間を変更する、
     請求項2に記載の行動検知装置。
    The first sub-action determination process is performed by setting a first sub-measurement result of the first sub-sensor and a first action determination threshold set in advance, which is associated with the first action, at predetermined time intervals set in advance. It is temporarily determined whether or not it is the first action by comparing with the above, and the temporary determination result temporarily determined as above is continuing the first continuation determination time set in advance, if it is the first action. In this case, the process is finally determined to be the first action,
    The processing control unit changes, as the control, a first continuation determination time in a first sub behavior determination process performed by the first sub behavior determination unit according to a sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 2.
  9.  前記第2サブ行動判定処理は、予め設定された所定の時間間隔で、前記第2サブセンサの第2サブ測定結果と、前記第2行動に対応付けられた、予め設定された第2行動判定閾値とを比較することによって前記第2行動であるか否かを仮に判定し、前記仮に判定した仮判定結果が前記第2行動であると、予め設定された第2継続判定時間、継続している場合に、前記第2行動であると最終的に判定する処理であり、
     前記処理制御部は、前記制御として、前記睡眠状態判定部の睡眠判定結果に応じて前記第2サブ行動判定部が実行する第2サブ行動判定処理における第2継続判定時間を変更する、
     請求項1に記載の行動検知装置。
    The second sub-action determination process sets a second action determination threshold set in advance, which is associated with the second sub-measurement result of the second sub-sensor and the second action at predetermined time intervals set in advance. It is temporarily determined whether or not it is the second action by comparing with the above, and the temporary determination result temporarily determined is continuing the second continuation determination time set in advance if the second action is the result. In this case, the process is finally determined to be the second action,
    The process control unit changes, as the control, a second continuation determination time in a second sub behavior determination process performed by the second sub behavior determination unit according to the sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 1.
  10.  前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて、前記第1サブ行動判定部に前記第1サブセンサの第1サブ測定結果を使用させるか否か、および、前記第2サブ行動判定部に前記第2サブセンサの第2サブ測定結果を使用させるか否かを制御する、
     請求項2に記載の行動検知装置。
    The processing control unit determines whether or not the first sub behavior determination unit uses the first sub measurement result of the first sub sensor according to the sleep determination result of the sleep state determination unit, and the second sub Controlling whether the action determination unit is to use the second sub measurement result of the second sub sensor;
    The behavior detection device according to claim 2.
  11.  前記第1サブ行動判定処理は、前記第1サブセンサの第1サブ測定結果および過去の第1サブ行動判定結果に基づいて、今回、第1行動であるか否かを判定する処理であり、
     前記処理制御部は、前記睡眠状態判定部の睡眠判定結果に応じて今回の第1サブ行動判定結果を予め設定された規定値に強制的に変更する、
     請求項2に記載の行動検知装置。
    The first sub-action determination process is a process of determining whether or not it is the first action this time based on the first sub-measurement result of the first sub-sensor and the past first sub-action determination result.
    The process control unit forcibly changes the current first sub-action determination result to a preset specified value according to the sleep determination result of the sleep state determination unit.
    The behavior detection device according to claim 2.
  12.  年月日時分を計時する時計部と、
     少なくとも睡眠の時間帯を含む前記被監視者のスケジュール、を表すスケジュール情報を前記被監視者に対応付けて記憶するスケジュール情報記憶部とを備え、
     前記処理制御部は、前記時計部から現在の時刻を取得し、前記取得した現在の時刻に対応する前記被監視者のスケジュールを前記スケジュール情報記憶部から抽出し、前記抽出した前記被監視者のスケジュールおよび前記睡眠状態判定部の睡眠判定結果に応じて前記行動判定部を制御する、
     請求項1ないし請求項11のいずれか1項に記載の行動検知装置。
    Clock part which measures date and time, and
    A schedule information storage unit which stores schedule information representing at least the time zone of sleep including the schedule of the person to be monitored in association with the person to be monitored;
    The process control unit acquires the current time from the clock unit, extracts the schedule of the monitored person corresponding to the acquired current time from the schedule information storage unit, and extracts the extracted monitored person Controlling the behavior determination unit according to the schedule and the sleep determination result of the sleep state determination unit;
    The behavior detection apparatus according to any one of claims 1 to 11.
  13.  第1および第2センサそれぞれで被監視者を測定する測定工程と、
     前記第1センサの第1測定結果に基づいて前記被監視者の睡眠状態を判定する睡眠状態判定工程と、
     前記第2センサの第2測定結果に基づいて前記被監視者における所定の行動を判定する行動判定工程と、
     前記睡眠状態判定工程の睡眠判定結果に応じて前記行動判定工程を制御する処理制御工程とを備える、
     行動検知方法。
    A measuring step of measuring a person to be monitored by each of the first and second sensors;
    A sleep state determining step of determining a sleep state of the person to be monitored based on a first measurement result of the first sensor;
    An action determining step of determining a predetermined action of the person to be monitored based on a second measurement result of the second sensor;
    Processing control step of controlling the behavior determination step according to the sleep determination result of the sleep state determination step;
    Behavior detection method.
  14.  被監視者に対応して設けられ、前記被監視者における所定の行動を検知するセンサ装置、前記センサ装置と通信可能に接続され前記センサ装置から受信した検知結果を管理する中央処理装置、および、前記中央処理装置と通信可能に接続され前記中央処理装置を介して前記検知結果を受信して表示する端末装置を備え、前記被監視者の監視を支援するための被監視者監視支援システムであって、
     前記センサ装置は、請求項1ないし請求項12のいずれか1項に記載の行動検知装置を含む、
     被監視者監視支援システム。
     
    A sensor device provided corresponding to the person to be monitored, which detects a predetermined behavior of the person to be monitored, a central processing unit communicably connected to the sensor device, and managing a detection result received from the sensor device; The monitored person monitoring support system includes a terminal device communicably connected to the central processing unit and receiving and displaying the detection result via the central processing unit, and supporting monitoring of the monitored person. ,
    The sensor device includes the behavior detection device according to any one of claims 1 to 12.
    Monitored person monitoring support system.
PCT/JP2018/018636 2017-08-10 2018-05-15 Action detection device and method therefor, and monitored person monitoring assist system WO2019031012A1 (en)

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