JP2022049788A - Information processing device, information processing system and program - Google Patents

Abstract

To provide a technique for guaranteeing fairness in derivation of an ADL (daily living operation) index for acknowledgement of the degree of care required.SOLUTION: By a sensor box 100, the detection output of various sensors showing a state of a living room of a tenant is acquired, a value of an ADL index is generated from the detected output, and the degree of required care for residents 800 is determined using a reference value and the generated ADL index. The reference value is generated on the basis of the degree of care of persons who have been targeted in the past as acknowledgement of the degree of the required care and finally determined to be eligible for acknowledgement of the degree of the required care, and detection output of a sensor.SELECTED DRAWING: Figure 2

Description

The present disclosure relates to an information processing device, and more particularly to an information processing device that outputs an ADL (Activities of Daily Living) index for certifying the degree of care required of a sensor subject who acquires a detection output.

Conventionally, information processing technology has also been used in the field of long-term care. For example, Japanese Patent Application Laid-Open No. 2019-20441 (Patent Document 1) provides a technique for specifying the degree of care required of a user based on the analysis result of information from a group of sensors that detect the user's behavior and the analysis result of an electronic medical record. It is disclosed.

Japanese Unexamined Patent Publication No. 2019-20441

In recent years, an index related to ADL (hereinafter, also referred to as "ADL index") has been used for certification of the degree of care required (including certification of the degree of support required). The degree of care required should be certified based on the actual condition of the care recipient. However, the care recipient may behave in a manner that makes the care recipient's condition look worse than it actually is when deriving the ADL index with the intention of being certified as having a higher degree of care need. In addition, the care recipient may behave to make the care recipient's condition look better than it actually is when deriving the ADL index, with the intention of being certified as having a lower degree of care requirement. In the long-term care insurance system, the types of services that can be used may differ depending on the degree of care required, and the payment limit may be set according to the degree of care required. Therefore, in order for the long-term care insurance system to be operated fairly, a technique for ensuring fairness is required even in the derivation of indicators related to ADL of the long-term care recipient.

The present disclosure has been conceived in view of such circumstances, and an object thereof is to provide a technique for ensuring fairness in deriving an ADL index for certifying the degree of care required.

According to certain aspects of this disclosure, the detection of one or more indicators for long-term care certification using an interface that obtains the detection output from the sensor, which represents the state of the subject for long-term care certification, and the detection output. By accessing the generation unit that generates the value and the storage device that stores the reference value for each degree of long-term care required for one or more indicators, the detected value corresponds to the reference value as the determination result of the degree of long-term care required by the subject. It includes a determination unit that specifies the degree of long-term care and an output unit that outputs the determination result, and the reference value is generated based on the detection output of the sensor for the person who has been certified for each degree of long-term care in the past. An information processing device is provided.

The index of 1 or more may include a plurality of indexes. When the detection value of the plurality of indicators corresponds to the degree of long-term care required of 2 or more, the determination unit may derive the degree of long-term care corresponding to the index having the largest number among the plurality of indicators as a determination result.

The index of 1 or more may include a plurality of indexes. A priority may be set for each of the plurality of indicators. When the detection value of the plurality of indicators corresponds to the degree of need for care of 2 or more, the determination unit may derive the degree of need for care corresponding to the index having the highest priority among the plurality of indicators as the determination result.

The index of 1 or more may include a plurality of indexes. Further, the output unit may output a notification for an index corresponding to a degree of need for care different from the degree of need for care derived as a determination result among the plurality of indexes.

The index of 1 or more may include a plurality of indexes. Further, the output unit may output a notification for an index corresponding to a degree of care required that differs by a given degree or more from the degree of care required derived as a determination result among the plurality of indexes.

The plurality of indicators may include at least one of walking speed, range of action, amount of action, repetitive behavior, sleep time, and number of turns.

The generation unit may further derive the statistical value of the index when the same type of index is derived a plurality of times. The output unit may further output the derived statistical values.

An information processing system including a sensor for acquiring an operating state of a target person, the information processing device, and an output device for displaying a determination result of the degree of care required output from the information processing device is provided.

1 for long-term care certification using the step of acquiring the detection output from the sensor, which indicates the state of the person subject to long-term care certification by being executed by the computer's processor, and the detection output. By accessing the step of generating the detected value of each of the above indicators and the storage device that stores the reference value for each degree of long-term care of one or more indicators, the detected value is determined as the determination result of the degree of long-term care of the subject. Executes a step of specifying the degree of long-term care required for the corresponding reference value and a step of outputting the determination result, and the reference value is based on the detection output of the sensor for the person who has been certified for each degree of long-term care in the past. The generated program is provided.

According to the present disclosure, the subject is based on the detection output of the sensor acquired for the condition of the subject and the reference value generated by using the detection value of the person who has been certified for each degree of care required in the past. The judgment result of the degree of care required of the person is specified.

It is a figure which shows an example of the structure of a watching system. It is a figure for demonstrating an example of the detection range of a sensor in a living room 900. It is a figure which shows the hardware composition of the sensor box 100, the management server 200, and the mobile terminal 300 of a monitoring system. It is a figure which shows the hardware configuration of the cloud server 400. It is a figure which shows an example of the installation mode of the pressure sensor in each living room 900. It is a figure which shows an example of the data structure of a resident information. It is a figure which shows an example of the content of each ADL index. It is a figure for demonstrating an example of the calculation method of "action range". It is a figure which shows an example of the skeleton information used for the detection of turning over. It is a figure which shows typically the contents of a reference value database. It is a figure which shows an example of the numerical value which defines the reference value zone registered about "action range". It is a figure which shows an example of the graph display of the reference value zone registered about "behavior range". It is a figure which shows an example of the numerical value which defines the reference value zone registered about "walking speed". It is a figure which shows an example of the numerical value which defines the reference value zone registered about "repeated action". It is a figure for demonstrating a specific specific example of the degree of need for care using 6 kinds of indexes. It is a figure for demonstrating the identification of the degree of care-requiring about "behavioral range". It is a figure for demonstrating the identification of the degree of need for care about "walking speed". It is a figure for demonstrating the identification of the care-requiring degree about "repeated behavior". It is a figure which shows an example of the output screen of the certification result of the degree of care required. It is a flowchart of an example of the process for specifying the care-requiring degree. It is a figure which shows the other example of the output screen of the certification result of the degree of care required.

Hereinafter, an embodiment of the information processing apparatus will be described with reference to the drawings. In the following description, the same parts and components are designated by the same reference numerals. Their names and functions are the same. Therefore, these explanations will not be repeated.

[Configuration of watching system]
FIG. 1 is a diagram showing an example of a configuration of a watching system. As an example of the object to be watched over, a resident in each living room provided in the living room area RM of the facility is adopted. In the monitoring system of FIG. 1, living rooms 900A and 900B are provided in the living room area RM. The living room 900A is assigned to the resident 800A. The living room 900B is assigned to the resident 800B. In the example of FIG. 1, the number of living rooms included in the watching system is 2, but the number is not limited to this.

In the monitoring system, the sensor box 100A installed in the living room 900A, the sensor box 100B installed in the living room 900B, the management server 200 installed in the management center ST, and the access point AP are connected via the network NT. Will be done.

In the watching system, the mobile terminal 300A carried by the staff NA and the mobile terminal 300B carried by the staff NB are connected to the network NT via the access point AP. Further, the sensor boxes 100A and 100B, the management server 200, and the access point AP can communicate with the cloud server 400 via the network NT.

The living room 900A includes a bed 901A, a toilet 902A, and furniture 903A as equipment. A door sensor 510A for detecting the opening / closing of the door is installed on the door of the living room 900A. A toilet sensor 520A that detects the opening and closing of the toilet 902A is installed on the door of the toilet 902A. The bed 901A is equipped with an odor sensor 530A that acquires excretion information of the resident 800A. The resident 800A is equipped with a vital sensor 540A that detects the vital information of the resident 800A. An example of the detected vital information is the resident's body temperature. Another example is resident breathing. Yet another example is the resident's heart rate. Yet another example is more than one type of information in this information. In the living room 900A, the resident 800A can operate the care call slave unit 500A.

In the present specification, when referring to matters common to a plurality of sensor boxes 100A and 100B, the term "sensor box 100" which collectively refers to the sensor boxes 100A and 100B is used. Similarly, resident 800A, 800B, living room 900A, 900B, bed 901A, 901B, toilet 902A, 902B, furniture 903A, 903B, care call slave unit 500A, 500B, door sensor 510A, 510B, toilet sensor 520A, 520B, odor sensor Similarly for each of the 530A, 530B, vital sensor 540A, 540B, the terms "resident 800", "living room 900", "toilet 902", "furniture 903", "care call slave unit 500", "door sensor 510". , "Toilet sensor 520", "Smell sensor 530", "Vital sensor 540" are used.

Further, each living room may be equipped with a microphone (microphone 550 in FIG. 3) for outputting the voice information of each living room to the outside such as the management server 200.

The sensor box 100A has a built-in sensor for detecting the behavior of an object in the living room 900A. An example of a sensor is a Doppler sensor for detecting the movement of an object. Another example is a camera. Still other examples are the care call handset 500, the door sensor 510, the toilet sensor 520, the odor sensor 530, or the vital sensor 540. The sensor box 100A includes at least one of these sensors as a sensor.

FIG. 2 is a diagram for explaining an example of the detection range of the sensor in the living room 900. In the example of FIG. 2, the sensor box 100 is installed on the ceiling CL of the living room 900.

The range AR schematically represents the detection range of the sensor. If the sensor is a Doppler sensor, the Doppler sensor detects behavior that occurs within range AR. If the sensor is a camera, the camera captures an image within range AR.

Returning to FIG. 1, the management server 200 installed in the management center ST is connected to the display 206 and the input device 209. The input device 209 is, for example, a keyboard.

In the monitoring system of FIG. 1, the number of mobile terminals connected to the network NT via the access point AP is set to 2 (mobile terminals 300A, 300B), but the number is not limited to this. In the present specification, when referring to matters common to the mobile terminals 300A and 300B, the term "mobile terminal 300" which collectively refers to the mobile terminals 300A and 300B is used.

The communication between each element in the watching system of FIG. 1 may be wired or wireless.

The sensor box 100 includes a camera 105 and an interface 105A for inputting data from the camera 105 to the control device 101. The sensor box 100 also includes a Doppler sensor 106 and an interface 106A for inputting data from the Doppler sensor 106 to the control device 101. Each of the interfaces 105A and 106A is composed of, for example, a circuit for controlling the input / output of data.

The sensor box 100 does not necessarily have to include the camera 105 and / or the Doppler sensor 106. The camera 105 and / or the Doppler sensor 106 may be provided outside the sensor box 100 in the same manner as the door gate sensor 510 and the like. The control device 101 may acquire the detection output of the camera 105 and / or the Doppler sensor 106 provided outside the sensor box 100 via a given interface.

The vital sensor 540 does not necessarily have to be attached to the resident. In one example, the vital sensor 540 is realized by an infrared sensor or the like installed away from the resident, and outputs vital information (body temperature) by detecting the temperature of the resident. In another example, the vital sensor 540 is implemented by the Doppler sensor 106. The Doppler sensor 106 irradiates the resident with microwaves. The microwave causes a Doppler effect due to a slight displacement of the chest due to the pulsation of the resident's heart, and changes its frequency. The Doppler sensor 106 detects the resident's heartbeat based on the fluctuation of the frequency. In yet another example, the Doppler sensor 106 detects the resident's respiration.

[Structure of each element of the watching system]
FIG. 3 is a diagram showing the hardware configurations of the sensor box 100, the management server 200, and the mobile terminal 300 of the monitoring system. FIG. 4 is a diagram showing a hardware configuration of the cloud server 400. Hereinafter, an example of the configuration of each device in the monitoring system will be described with reference to FIGS. 3 and 4.

(Sensor box 100)
The sensor box 100 includes a control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a communication interface 104, a camera 105, a Doppler sensor 106, a wireless communication device 107, and a storage device. It is equipped with 120.

The control device 101 controls the sensor box 100. The control device 101 is composed of, for example, at least one integrated circuit. The integrated circuit is composed of, for example, at least one CPU (Central Processing Unit), at least one ASIC (Application Specific Integrated Circuit), at least one FPGA (Field Programmable Gate Array), or a combination thereof.

An antenna (not shown) or the like is connected to the communication interface 104. The sensor box 100 exchanges data with an external communication device via the antenna. External communication devices include, for example, a management server 200, a mobile terminal 300, an access point AP, a cloud server 400, and other communication terminals.

The camera 105 is a near-infrared camera in one implementation example. Near-infrared cameras include IR (Infrared) floodlights that project near-infrared light. By using a near-infrared camera, an image showing the inside of the living room 900 can be taken even at night. In another embodiment, the camera 105 is a surveillance camera that receives only visible light. In still another embodiment, a 3D sensor or a thermography camera may be used as the camera 105. The sensor box 100 and the camera 105 may be integrally configured or may be configured separately.

The Doppler sensor 106 is, for example, a microwave Doppler sensor, which radiates and receives radio waves to detect the behavior (operation) of an object in the living room 900. As a result, the biometric information of the resident 800 in the living room 900 can be detected. In one example, the Doppler sensor 106 radiates microwaves in the 24 GHz band toward the bed 901 of each room 900 and receives the reflected waves reflected by the resident 800. The reflected wave is Doppler-shifted by the operation of the resident 800. The Doppler sensor 106 can detect the respiratory state and heart rate of the resident 800 from the reflected wave.

The wireless communication device 107 receives signals from the care call slave unit 500, the door sensor 510, the toilet sensor 520, the odor sensor 530, the vital sensor 540, and the microphone 550, and transmits the signals to the control device 101. For example, the care call slave unit 500 includes a care call button 501, and when the care call button 501 is operated, a signal indicating that the operation has been performed is transmitted to the wireless communication device 107. Each of the door sensor 510, the toilet sensor 520, the odor sensor 530, and the vital sensor 540 transmits their respective detection outputs to the wireless communication device 107.

The storage device 120 is a storage medium such as a hard disk or an external storage device. The storage device 120 stores a program executed by the control device 101 and various data used for executing the program. The various data may include behavioral information of the resident 800.

If at least one of the above programs and data is a storage device accessible to the control device 101, a storage device other than the storage device 120 (for example, a storage area of the control device 101 (for example, a cache memory), ROM 102, etc.). It may be stored in the RAM 103, an external device (for example, a management server 200, a mobile terminal 300, etc.).

In the monitoring system of the present embodiment, a pressure sensor 560 is provided in each living room 900. The pressure sensor 560 is connected to the sensor box 100, and the control device 101 may acquire the detection output of the pressure sensor 560. The installation mode of the pressure sensor 560 in the living room 900 will be described later with reference to FIG.

(Behavior information)
The above behavioral information will be described. The behavior information is, for example, information indicating that the resident 800 has executed a predetermined behavior. In one example, the predetermined action is "wake up" indicating that the resident 800 has awakened, "get out of bed" indicating that the resident 800 has left the bedding, and "fall" that indicates that the resident 800 has fallen from the bedding. , And four actions of "falling" indicating that the resident 800 has fallen.

In one embodiment, the control device 101 generates behavioral information of the resident 800 associated with each room 900 based on an image captured by a camera 105 installed in each room 900. For example, the control device 101 detects the head of the resident 800 from the above image, and based on the time change of the size of the detected head of the resident 800, the resident 800 "wakes up" and "gets out of bed". , Detects "falls" and "falls". Hereinafter, a specific example of generating behavioral information will be described in more detail.

First, the storage device 120 stores the location area of the bed 901 in the living room 900, the first threshold value Th1, the second threshold value Th2, and the third threshold value Th3. The first threshold Th1 discriminates the size of the resident's head between the lying posture and the sitting posture in the location area of the bed 901. The second threshold value Th2 identifies whether or not the resident is in a standing position based on the size of the resident's head in the living room 900 excluding the area where the bed 901 is located. The third threshold value Th3 identifies whether or not the resident is in the lying position based on the size of the resident's head in the living room RM excluding the area where the bed 901 is located.

The control device 101 extracts a moving object region from the target image as a region of a person of the resident 800 by, for example, a background subtraction method or a frame subtraction method. The control device 101 is further derived from the extracted moving body region by a neural network learned for head detection by pattern matching using a head model prepared in advance by, for example, a circular or elliptical Hough transform. The head area of the resident 800 is extracted using the set threshold. The control device 101 detects "getting up", "getting out of bed", "falling" and "falling" from the position and size of the extracted head.

In the control device 101, the position of the head extracted as described above is within the location region of the bed 901, and the size of the head extracted as described above is laid down by using the first threshold Th1. It may be determined that the behavior "wake up" has occurred when it is detected that the size of the posture has changed to the size of the sitting posture.

The control device 101 is the case where the position of the head extracted as described above moves from the inside of the location area of the bed 901 to the outside of the location area of the bed 901, and the size of the head extracted as described above. It may be determined that the behavior "getting out of bed" has occurred when it is detected that the size has changed from a certain size to the size of the standing posture by using the second threshold value Th2.

The control device 101 is the case where the position of the head extracted as described above moves from the inside of the location area of the bed 901 to the outside of the location region of the bed 901, and the size of the head extracted as described above is large. It may be determined that the behavior "fall" has occurred when the third threshold Th3 is used to change the time from a certain size to the size of the lying posture.

In the control device 101, the position of the head extracted as described above is located in the living room 900 excluding the area where the bed 901 is located, and the size of the extracted head uses the third threshold value Th3. If it is detected that the size has changed from a certain size to the size of the lying posture, it may be determined that the behavior "fall" has occurred.

As described above, in one specific example, the control device 101 of the sensor box 100 generates the behavior information of the resident 800. In the watching system, other elements may generate behavior information of the resident 800 by using the image in the living room 900.

(Management server 200)
The management server 200 includes a control device 201, a ROM 202, a RAM 203, a communication interface 204, a display interface 205, an operation interface 207, and a storage device 220.

The control device 201 controls the management server 200. The control device 201 is composed of, for example, at least one integrated circuit. The integrated circuit is composed of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

An antenna (not shown) or the like is connected to the communication interface 204. The management server 200 exchanges data with an external communication device via the antenna. External communication equipment includes, for example, a sensor box 100.

The display interface 205 is connected to the display 206, and sends an image signal for displaying an image to the display 206 according to a command from the control device 201 or the like.

The operation interface 207 is, for example, a USB (Universal Serial Bus) terminal and is connected to the input device 209. The operation interface 207 receives a signal indicating a user operation from the input device 209. An input device 209, such as a mouse, keyboard, touch panel, or other device capable of accepting user input operations.

The storage device 220 is a storage medium such as a hard disk or an external storage device. In one embodiment, the storage device 220 stores a program executed by the control device 201, but the program may be stored in another storage device accessible to the control device 201.

(Mobile terminal 300)
The mobile terminal 300 includes a control device 301, a RAM 303, a communication interface 304, a display 305, an input device 306, and a built-in memory 320.

The control device 301 controls the mobile terminal 300. The control device 301 is composed of, for example, at least one integrated circuit. The integrated circuit is composed of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

An antenna (not shown) or the like is connected to the communication interface 304. The mobile terminal 300 exchanges data with an external communication device via the antenna and the access point AP (FIG. 1). External communication equipment includes, for example, a sensor box 100, a management server 200, and the like.

The display 305 is realized by, for example, an organic EL (Electro Luminescence) display. The input device 306 is realized, for example, by a touch sensor superimposed on the display 305. The touch sensor accepts various operations on the mobile terminal 300 by touch operations, and outputs the contents of the operations to the control device 301.

The built-in memory 320 is, for example, a storage medium such as an eMMC (Embedded MultiMediaCard). As an example, the built-in memory 320 stores a program executed by the control device 301, but the program is stored in a storage device other than the built-in memory 320 if the storage device is accessible to the control device 301. May be good.

(Cloud server 400)
The cloud server 400 includes a control device 401, a ROM 402, a RAM 403, a communication interface 404, and a storage device 420.

The control device 401 controls the cloud server 400. The control device 401 is composed of, for example, at least one integrated circuit. The integrated circuit is composed of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

An antenna (not shown) or the like is connected to the communication interface 404. The cloud server 400 exchanges data with an external communication device via the antenna. External communication equipment includes, for example, a sensor box 100 and a management server 200.

The storage device 420 is a storage medium such as a hard disk or an external storage device. In one embodiment, the storage device 420 stores a program executed by the control device 401, but the program may be stored in another storage device accessible to the control device 401.

(Meaning of the term "program" in this specification)
In the watching system, various "programs" may be provided by being incorporated into a part of an arbitrary program rather than as a single program. Various "programs" can be realized by the cooperation of any plurality of programs. In one example, when the control device 101 of the sensor box 100 realizes the functions described herein by executing the first program, the first program is a module of a part of the second program. You may be using. Even if the first program does not include some modules for realizing the function, if it mainly contributes to the realization of the function, it deviates from the purpose of the program for realizing the function. It's not something to do. In addition, some or all of the functions described herein may be implemented by dedicated hardware. Further, the device that provides the functions described herein may be provided by an external device in part or in whole as a so-called cloud service.

(Installation mode of pressure sensor)
FIG. 5 is a diagram showing an example of the installation mode of the pressure sensor in each living room 900. The pressure sensor 560 includes measuring sheets 560A, 560B, 560C. In one example, each of the measuring sheets 560A, 560B, and 560C is a capacitor-type pressure sensor arranged in a grid pattern. The pressure sensor 560 can output the distribution and total amount of pressure in each of the measuring sheets 560A, 560B, and 560C as a detection output.

The measuring sheet 560A is installed on the bed 901. Thereby, the measuring sheet 560A can detect the pressure (and its distribution) applied to the bed 901.

The measurement seat 560B is installed in the seat (seating position) of the wheelchair 905. Thereby, the measuring seat 560B can detect the pressure (and its distribution) applied to the seat of the wheelchair 905. In the example of FIG. 5, the wheelchair 905 is located beside the bed 901. The measurement sheet 560B may include a communication interface for wireless communication. As a result, the measurement sheet 560B can communicate with the sensor box 100 regardless of whether the wheelchair 905 is installed in the living room 900 or outside the living room 900.

The measurement sheet 560C is installed on the floor of the living room 900. Thereby, the measuring sheet 560C can detect the pressure (and its distribution) applied to the floor surface of the living room 900.

[Derivation of indicators for certification of the degree of care required]
The control device 101 of the sensor box 100 acquires the detection outputs of various sensors, derives an index (ADL index) for certifying the degree of care required of the resident 800, and outputs the derived index. In this sense, the sensor outputs a detection output representing the operation of the resident 800 toward the control device 101. Such sensors are, for example, a Doppler sensor 106, a camera 105, a care call handset 500, a door sensor 510, a toilet sensor 520, an odor sensor 530, a vital sensor 540, a microphone 550, and / or a pressure sensor 560.

The control device 101 acquires data from the Doppler sensor 106 via the interface 106A. The control device 101 acquires data from the camera 105 via the interface 105A. The control device 101 acquires data from the care call slave unit 500, the door sensor 510, the toilet sensor 520, the odor sensor 530, the vital sensor 540, the microphone 550, and the pressure sensor 560 via the wireless communication device 107. In this sense, each of the interface 106A, the interface 105A, and the wireless communication device 107 is an example of an interface in which the control device 101 acquires a detection output in the sensor box 100.

[Accumulated data of ADL index for each resident]
The sensor box 100 uses the detection output of one or more sensors to generate and store information (ADL index) regarding the behavior of the resident. The ADL index is stored, for example, in the storage device 120 as a part of the resident information.

FIG. 6 is a diagram showing an example of a data structure of resident information. FIG. 6 shows the values of the plurality of ADL indexes for each day for the resident assigned the ID “0001”. In FIG. 6, due to space limitations, only the values of May 1, 2020 (2020.05.01) and May 2, 2020 (2020.05.02) are shown.

In addition, as the resident information, other types of information such as the resident's name, age, and gender may be stored in the storage device 120. Further, in the monitoring system, the resident information is stored not only in the storage device 120 of the sensor box 100, but also in another storage device such as the storage device 220 of the management server 200 instead of the storage device 120. May be good.

In the example of FIG. 6, the following six types of ADL indexes are shown.
・ Sleep time ・ Activity range ・ Activity amount ・ Walking speed ・ Repeated action ・ Number of turns Va (1), Vb (1), Vc (1), Vd (1), Ve (1), and Vf (1) are shown as the values of each index of the number of times.

Here, the contents of each ADL index will be described with reference to FIG. 7. FIG. 7 is a diagram showing an example of the contents of each ADL index.

The index "sleep time" represents the sleep time of the resident on each day. In the sensor box 100, for example, when the heart rate specified in the detection output from the vital sensor 540 is a heart rate registered in advance as corresponding to the sleep state, the resident has a period during which such a heart rate continues. Specify as sleep time.

The target time zone for the value of each index may differ depending on the type of index. For example, the index "sleep time" represents the sleep time in the period from 10 am to 9:59 pm of each day, and the other index is from midnight to 11:59 pm of each day. The value in the period of may be expressed.

The "activity range" represents an area calculated based on the locus of movement of the resident in the living room. An example of the calculation method of the "action range" will be described with reference to FIG.

FIG. 8 is a diagram for explaining an example of a method of calculating the “action range”. In FIG. 8, the grid 810 defined for the living room and the locus T1 of the position of the resident are shown. Further, of the 144 (12x12) squares constituting the grid 810, the hatching is performed on 9 squares including the locus T1. In the example of FIG. 8, the area of the square including the locus T1 is calculated as the “action range”.

The sensor box 100 may specify the position of the resident from the image from the camera 105 or the pressure distribution from the measurement sheet 560C in order to specify the value of each index including the “activity range”. You may.

Returning to FIG. 7, the index “activity” represents the time the resident stayed outside the bed. The index "walking speed" represents the speed of walking over a given distance outside the bed. The sensor box 100 can specify the values of "activity amount" and "walking speed" based on, for example, the position information of the resident.

The index "repeated behavior" represents the number of times the movement from the same start point to the same end point is repeated within a certain period of time. The sensor box 100 may specify the value of the repetitive behavior by using the position information of the resident. The sensor box 100 may specify the number of times the opening and closing of the doors at various places is repeated at intervals of a specific time length or less as the value of the "repeated action".

The index "number of turns over" represents the number of times a resident turns over. The sensor box 100 specifies the number of times of turning over, for example, by using the skeleton information of the resident.

FIG. 9 is a diagram showing an example of skeletal information used for detecting turning over. FIG. 9 shows the skeleton information of a person identified by the control device 101 of the sensor box 100 for a frame of an image from the camera 105. The outer shell OL1 represents the outer shell of the person, the point P10 represents the position of the center of gravity of the person, and the points P11 and P12 represent the positions of both shoulders of the person.

If a person who has turned to the right or left while lying down is photographed from the front, it is assumed that the distance between one shoulder and the other shoulder of the person will be shorter in the photographed image. Will be done. Also, if the body orientation of a person turned to the right or left changes to face the front, the distance between one shoulder and the other shoulder of the person in the frontal image of the person is It is expected to be long.

The control device 101 may count the number of times the resident turns over using the image from the camera 105. In counting the number of times of turning over, the control device 101 causes the person to be sideways (right or right) from the distance DF indicating that the distance between the shoulders of the person (resident) in the image is that the person is facing the front. When a change to the distance DS indicating that the object is facing the left) is detected, the count value may be updated by 1 addition.

[Reference value for ADL index]
In the monitoring system, the reference value for each ADL index is used to certify the degree of care required. More specifically, when the sensor box 100 derives the ADL index, the value of the ADL index corresponds to which of the two or more reference values of the degree of need for nursing care stored in advance for the ADL index. Determine if to do. In one implementation example, the degree of care required of 2 or more includes the following 8 types.

・ Independence ・ Support required 1
・ Support required 2
・ Nursing required 1
・ Nursing required 2
・ Need care 3
・ Need care 4
・ Nursing required 5
Among them, "independence" means "it is possible to perform basic activities in daily life such as walking and getting up by oneself, and also perform instrumental daily activities such as taking medicines and using a telephone". It means "a state with ability". That is, "independence" means a state that does not require support and long-term care.

"Support required" means "although it is possible to perform almost all basic activities of daily living by oneself, it contributes to the prevention of becoming in need of long-term care by assisting activities of daily living and preventing the current state. It means "a state that requires some kind of support for means of daily living", and "support required 2" requires more support than "support required 1".

"Long-term care required" means "a condition in which it is difficult for oneself to perform basic movements in daily life and requires some kind of long-term care", and "Long-term care 5" has the highest degree of long-term care. "Long-term care 4" has the next highest degree, "Long-term care 3" has the next highest degree, "Long-term care 2" has the next highest degree, and "Long-term care 1" has the lowest degree. .. It should be noted that "Long-term care 1" requires more support (nursing care) than "Support 2".

FIG. 10 is a diagram schematically showing the contents of the reference value database. In the example shown in FIG. 10, the reference value database 1000 has two or more indexes (“walking speed”, “activity range”, “activity amount”, “repeated behavior”, and “sleep time” for each of the above eight types of care-requiring degrees. Includes a set of reference values (such as "number of turns"). In FIG. 10, due to space limitations, a set 1010 of reference values for the degree of care required “independence” and a set 1020 of reference values for the degree of care required “5” are shown.

The reference value zone of each index in the set 1010 represents the range of values specified for each index for those who have been certified as “independent” in the degree of care required in the past certification of the degree of care required. For example, the reference value zone 1011 represents a range of values of an index specified for the "walking speed" of a person who has been certified as "independent" in the degree of care required in the past certification of the degree of care required.

The reference value zone of each index in the set 1020 represents a range of values specified for each index for a person who has been certified as a care-requiring degree "care-requiring 5" in the past care-requiring degree certification. For example, the reference value zone 1021 represents the range of the value of the index specified for the "walking speed" of the person who has been certified as the care-requiring degree "care-requiring 5" in the past care-requiring degree certification. The range of the reference value zone 1021 corresponds to the range of the slower walking speed as compared with the reference value zone 1011.

More specifically, in FIG. 10, the "walking speed" corresponds to a smaller numerical value toward the left. The smaller the walking speed value, the higher the degree of need for support and long-term care. In the example of FIG. 10, the reference value zone 1021 of “need care 5” corresponds to a value smaller than the reference value zone 1011 of “independence”.

In FIG. 10, the "action range" corresponds to a numerical value smaller toward the left. The smaller the range of activity, the higher the need for support and long-term care. In the example of FIG. 10, regarding the “behavior range”, the reference value zone of “need care 5” corresponds to a value smaller than the reference value zone of “independence”.

In FIG. 10, the "activity amount" corresponds to a numerical value smaller toward the left. The smaller the amount of activity, the higher the need for support and long-term care. In the example of FIG. 10, regarding the “activity amount”, the reference value zone of “need care 5” has a smaller corresponding value than the reference value zone of “independence”.

In FIG. 10, "repeated behavior" corresponds to a larger numerical value toward the right. The higher the value of repetitive behavior, the higher the degree of need for support and long-term care. In the example of FIG. 10, for “repeated behavior”, the reference value zone of “need care 5” corresponds to a value larger than the reference value zone of “independence”.

In FIG. 10, "sleep time" corresponds to a shorter time toward the left. The shorter the sleep time, the higher the need for support and long-term care. In the example of FIG. 10, regarding the “sleep time”, the reference value zone of “need care 5” corresponds to the sleep time shorter than the reference value zone of “independence”.

In FIG. 10, the “number of turns” corresponds to a smaller numerical value toward the left. The smaller the number of turns, the higher the need for support and long-term care. In the example of FIG. 10, regarding the “number of turns”, the reference value zone of “need care 5” has a smaller corresponding value than the reference value zone of “independence”.

In the example of FIG. 10, reference value zones are shown for each of the six types of indicators. In the monitoring system, the types and numbers of indicators registered in the reference value zone are not limited to those shown in FIG.

Next, an example of the reference value of the ADL index will be described more specifically with reference to FIGS. 11 to 14.
FIG. 11 is a diagram showing an example of a numerical value that defines a reference value zone registered for the “action range”. In the example of FIG. 11, the minimum value, the average value, and the maximum value of the index value of the "behavior range" are shown for each of the eight types of care-requiring degrees. For example, for the degree of care required "independence", 10m ² , 11m ² , and 12m ² are shown as the minimum value, the average value, and the maximum value, respectively. For the degree of care required "care required 1", 7m ² , 8m ² , and 9m ² are shown as the minimum value, the average value, and the maximum value, respectively.

FIG. 12 is a diagram showing an example of a graph display of the reference value zone registered for the “action range”. As described with reference to FIGS. 11 and 12, the value of the "behavioral range" index is associated with any one or more levels of care required in the range of 1 m ² to 12 m ² . The sensor box 100 specifies the degree of care required including the reference value zone covering the value specified for the resident as the degree of care required for the resident.

When the value specified for the resident is covered by the degree of care required of 2 or more, the sensor box 100 may specify the degree of care required closer to the average value as the degree of care required of the resident. For example, if the value of the resident index is 9.2 m ² , the value is included in the reference value zones of the two degrees of care required (“support required 1” and “support required 2”). Here, the average value (9 m ² ) of "support required 2" is closer to the resident index value (9.2 m ² ) than the average value (10 m ² ) of "support required 1". Therefore, in this case, the sensor box 100 specifies "support required 2" as the degree of care required by the resident.

FIG. 13 is a diagram showing an example of numerical values that define a reference value zone registered for “walking speed”. In the example of FIG. 13, index values are registered for 5 types of care-requiring degrees (“independence” to “care-requiring 2”) out of 8 types of care-requiring degrees. For example, for the degree of care required "independence", 1000 mm / s, 1100 mm / s, and 1200 mm / s are shown as the minimum value, the average value, and the maximum value, respectively. For the degree of care required "care required 1", 700 mm / s, 750 mm / s, and 800 mm / s are shown as the minimum value, the average value, and the maximum value, respectively. According to the regulation of the reference value zone shown in FIG. 13, the sensor box 100 uses the value of the index specified for the resident to provide five types of care-requiring degree (“independence”) for the resident. "-" Degree of care required 2 ") can be specified.

FIG. 14 is a diagram showing an example of numerical values that define a reference value zone registered for “repeated behavior”. In the example of FIG. 14, the minimum value, the average value, and the maximum value are shown for the value of the index of "repeated behavior" for each of the eight types of care-requiring degrees. For example, for the degree of care required "independence", 0 times, 1 time, and 2 times are shown as the minimum value, the average value, and the maximum value, respectively. For the degree of care required "care required 1", the minimum value, the average value, and the maximum value are shown as 6, 7, and 8 times, respectively.

[Certification of degree of care required using standard values]
Next, the certification of the degree of care required using the standard value will be described.

First, the sensor box 100 specifies the value of each of the one or more indexes for the resident who is the target of the certification of the degree of care required. In one example, the sensor box 100 identifies the value of the index identified for a particular day (eg, the value of May 1, 2020 in FIG. 6). In another example, a statistic (eg, average) calculated using the values of the indicators identified for multiple days is identified.

Next, the sensor box 100 identifies in which reference value zone of the degree of care required the value of the specified index is included.

When only one type of index is used, the sensor box 100 specifies the degree of care required corresponding to the reference value zone including the value of the one type of index as the degree of care required of the resident.

For example, when only the index of "walking speed" is used for certification of the degree of care required, and the value of the index of "walking speed" of the resident is included in the reference value zone of the degree of care required "1". , The sensor box 100 specifies "need care 1" as the degree of need for care of the resident.

When two or more types of indicators are used, the sensor box 100 specifies the degree of care required for each of the two or more types. Then, the sensor box 100 specifies the degree of care required most specified in the two or more types of indexes as the final degree of need for care of the resident.

For example, when 6 types of indicators are used and "need care 1" is specified for 4 types out of the 6 types (for example, "need care 1" for 4 types and "need care 5" for 1 type. "When" Nursing care required 2 "is specified for one type), the sensor box 100 specifies" Nursing care required 1 "as the final degree of long-term care required by the resident.

FIG. 15 is a diagram for explaining a specific specific example of the degree of need for nursing care using six types of indicators. In FIG. 15, the values of the six types of indexes specified for the resident (certified target person) are plotted as the “certified target person index”. In the example of FIG. 15, since the degree of care required “care required 1” was specified for 4 types (“walking speed”, “activity range”, “activity amount”, and “number of times of turning over”) out of the 6 types of indicators, the final resident "Need care 1" is specified as the specific degree of need for care. In FIG. 15, for reference, a plot of the values of the six indicators identified for the resident is shown along with a set of 1500 reference values for "need care 1". The plot of the index as shown in FIG. 15 may be the value of the index derived by one identification, or the statistical value (average value, center) of the index derived by a plurality of identifications. Value, etc.).

Here, with reference to FIGS. 16 to 18, the specification of the degree of care required for each index will be described more specifically.

FIG. 16 is a diagram for explaining the identification of the degree of care required for the “behavioral range”. FIG. 16 shows an example when the value of the “activity range” of the resident is “8.3 m ² ”.

In FIG. 16, each of "minimum", "average", and "maximum" represents each of the "minimum value", "average value", and "maximum value" registered for each degree of care required. In FIG. 16, the “difference” represents the difference between the average value of each degree of care required and the value of the resident index. The sensor box 100 specifies the degree of care required, which has the smallest difference (absolute value) between the value of the index specified for the resident and the average value of each degree of care required, as the degree of care required of the resident.

In the example of FIG. 16, “need care 1” has the smallest difference (−0.3 m ² : absolute value 0.3 m ² ). Therefore, in the example of FIG. 16, the sensor box 100 specifies "need care 1" as the degree of need for care of the resident for the "behavior range".

FIG. 17 is a diagram for explaining the identification of the degree of need for nursing care regarding the “walking speed”. FIG. 17 shows an example when the value of the “walking speed” of the resident is “720 mm / s”.

Each of the "minimum", "average", and "maximum" in FIG. 17 represents each of the "minimum value", "average value", and "maximum value" registered for each degree of care required. In the example of FIG. 17, "need care 1" has the smallest difference (30 mm / s: absolute value 30 mm / s). Therefore, in the example of FIG. 17, the sensor box 100 specifies "need care 1" as the degree of need for care of the resident with respect to "walking speed".

FIG. 18 is a diagram for explaining the identification of the degree of need for nursing care for “repeated behavior”. FIG. 18 shows an example when the value of the resident's “repeated behavior” is “16 times”.

Each of the "minimum", "average", and "maximum" in FIG. 18 represents each of the "minimum value", "average value", and "maximum value" registered for each degree of care required. In the example of FIG. 18, "need care 5" has the smallest difference (-1 time: absolute value 1 time). Therefore, in the example of FIG. 18, the sensor box 100 specifies "need care 5" as the degree of need for care of the resident for "repeated behavior".

Returning to FIG. 15, in one implementation example, when the sensor box 100 specifies the degree of care required for each of the plurality of indicators for the resident, the final degree of care required specified for the most indicators is the resident. Specify as the degree of care required. A priority may be set for each index, and the sensor box 100 may specify the final degree of need for nursing care based on the priority. The priority for each index is set, for example, by the administrator of the watching system.

As an example of priority, a specific example will be described on the assumption that the following points are set for each of the six types of indicators.

・ Sleep time (2 points)
・ Action range (4 points)
・ Amount of activity (4 points)
・ Walking speed (1 point)
・ Repeated action (1 point)
・ Number of turns (3 points)
In such a case, the sensor box 100 may specify the final degree of care required of the resident based on the total points of the index.

For example, it is assumed that "long-term care required 1" is specified for "sleep time", "walking speed", "repeated behavior", and "number of times of turning over", and "support required 2" is specified for "activity range" and "activity amount". .. In this case, the sensor box 100 calculates the total points of each of the index of "need care 1" and the index of "need support 2". According to the above settings, the total points of "need care 1" is 7 (2 + 1 + 1 + 3), and the total points of "need support 2" are 8 (4 + 4). That is, the total points of "support required 2" are higher than those of "nursing required 1". Therefore, in this case, the sensor box 100 specifies "support required 2" as the final degree of care required by the resident.

[Example of output of certification result of degree of care required]
When the sensor box 100 identifies the final degree of care required for the resident, the sensor box 100 may display the result on the display 206 of the management server 200, for example. Further, when the final degree of need for care is specified by using the degree of need for care specified for each of the plurality of indicators, the sensor box 100 is a part of the degree of need for care specified for the plurality of indicators. May indicate that is different from the final degree of care required. A specific example of the result display by the sensor box 100 will be described with reference to FIG.

FIG. 19 is a diagram showing an example of an output screen of the certification result of the degree of care required. In FIG. 19, screen 1900 includes areas 1902, 1904, 1906, 1908. Area 1902 represents the name of a person (resident) subject to certification of the degree of care required. The resident's name can be obtained from the resident information.

Area 1904 represents the result of the final degree of care required identified for the resident.
Area 1906 represents the result of the degree of care required for each of the plurality of indicators identified for the resident. In the example of FIG. 19, "need care 1" is specified as the final degree of need for care for the resident named "Taro Yamada", and four types of indicators (walking speed, range of action, amount of action,) are specified. "Need care 1" for one type of index (repeated behavior), "Need care 5" for one type of index (sleep time), and "Need care 2" for one type of index (sleep time). There is.

The sensor box 100 may emphasize an index on the screen 1900 that identifies the degree of care required at a given level (eg, two or more levels) away from the finally determined degree of need for care.

In area 1906, the "need care 5" specified for "repeated behavior" is emphasized in the frame. This is based on the fact that "Long-term care 5" is four steps away from "Long-term care 1" finally identified in the example of FIG. No emphasis was made on "sleep time". This is because "long-term care required 2" is only one step away from "long-term care required 1".

Region 1908 displays a message for an index identified with a degree of care required that is significantly different from the finally identified degree of need for care.

Area 1908 includes the name of the index "repeated behavior" and the message "corresponding to a higher degree of care required than the reference value". In one example, the sensor box 100 sends the above message based on how far away the identified index is at or above a given level of need for care with respect to the finally identified degree of need for care. Generate.

For example, the sensor box 100 is shown in the figure for an index in which a higher degree of long-term care (a higher degree of need for support and care) is specified with respect to the finally specified degree of long-term care. Generates the message shown in region 19 of area 1908. On the other hand, the sensor box 100 may be used, for example, for an index for which a lower degree of care required (lower degree of need for support and care) is specified with respect to the finally specified degree of care required. , Generates the message "Corresponds to the level of care required lower than the standard value". The sensor box 100 displays the generated message on the display 206 as shown in FIG.

The display mode of the care-requiring degree specified for each index with respect to the finally specified care-requiring degree is not limited to that shown in FIG. For example, all indicators (repetitive behavior and sleep time in the example of FIG. 19) identified with a degree of care required that is different from the finally identified degree of need for care may be highlighted. Each indicator may be highlighted in different ways depending on the number of different levels. For example, if the different levels are less than the given number, the indicator may be highlighted with a single line, and if the different levels are greater than or equal to the given number, the indicator may be highlighted with a double line.

[Processing flow]
Next, the process executed in the sensor box 100 for specifying the degree of care required of the resident will be described. FIG. 20 is a flowchart of an example of a process for specifying the degree of care required. The sensor box 100 realizes the process of FIG. 20, for example, by causing the processor of the control device 101 to execute a given program.

With reference to FIG. 20, in step S2000, the sensor box 100 determines whether or not a specific request for the degree of care required has been acquired. In the watching system, the administrator uses, for example, the management server 200 or the mobile terminal 300 to send a specific request for the degree of care required to the sensor box 100. Upon receiving the request, the sensor box 100 determines that the request has been acquired. The sensor box 100 retains control in step S2000 until it is determined that the above request has been acquired (NO in step S2000), and when it is determined that the above request has been acquired (YES in step S2000), control proceeds to step S2002. ..

In step S2002, the sensor box 100 acquires the detection output of the sensor for generating various indexes (“action range” and the like) for specifying the degree of care required.

In step S2004, the sensor box 100 generates each of one or more indicators. The sensor box 100 may generate an index by using the detection output for one day of the resident, or the representative value (average value, maximum value, minimum value, etc.) specified from the detection output for a plurality of days. ) May be used to generate an index.

In step S2006, the sensor box 100 specifies the degree of care required for each of the one or more indicators generated in step S2004.

In step S2008, the sensor box 100 identifies the final degree of need for care by using the degree of need for care specified for each of the one or more indicators specified in step S2006. When the care-requiring degree is specified for only one type of index in step S2006, the specified care-requiring degree is specified as the final care-requiring degree in step S2008. When the degree of need for care is specified for two or more types of indicators in step S2006, in one implementation example, in step S2008, the degree of need for care specified for the most indicators is the final degree of need for care. Be identified.

In step S2010, whether or not the sensor box 100 differs from the final degree of care required specified in step S2008 among the degree of care required specified for each of the one or more indicators in step S2006. To judge. If the sensor box 100 determines that there is such a degree of need for nursing care (YES in step S2010), the control proceeds to step S2012, and if not (NO in step S2010), the control proceeds to step S2014.

In step S2012, the sensor box 100 has a degree of care required specified for the index and a degree of care required finally specified for the resident, as described with reference to region 1908 of FIG. Generate a message to notify you that they are different.

In step S2014, the sensor box 100 uses the communication interface 104 to output a specific result of the degree of care required toward an output device such as a display 206. The communication interface 104 is an example of an output unit, and a screen such as a screen 1900 is displayed on an output device such as a display 206 under the control of step S2014. After that, the sensor box 100 ends the process of FIG. 20.

In the present embodiment described above, the sensor box 100 acquires the detection outputs of various sensors representing the state of the resident's room, and the value of the ADL index (detection value, for example, “walking”” is obtained from the detection outputs. The value of "running degree") is generated, and the reference value (zones 1010, 1020, etc. in FIG. 10) and the generated ADL index value are used to specify the degree of care required of the resident. The reference value is generated based on the degree of need for care finally specified for the person who has been certified as the degree of need for care in the past and the detection output of the sensor indicating the state of the person. ..

In the present embodiment, walking speed, action range, action amount, repetitive action, sleep time, and number of turns are used as ADL indexes. The ADL index used for certifying the degree of care required may be at least one of these, and other types of ADL indexes may be used. Further, the behavior other than the behavior related to the ADL index may be quantified. It is considered that each value (detection value) of the walking speed, the action range, the amount of action, the repeated action, the sleep time, and the number of times of turning over has a relatively high correlation with the degree of care required of the resident.

In the present embodiment, the sensor box 100 for specifying the degree of care required is an example of an information processing device. The sensor box 100 includes sensors such as a camera 105 and a Doppler sensor 106. However, the information processing device does not need to include the sensor as long as it can acquire the detection output of the sensor. Further, the process of specifying the degree of care required does not need to be executed in the sensor box 100, and may be executed in the management server 200 or the cloud server 400.

The sensor box 100 may further display auxiliary information for the index on the output screen of the certification result of the degree of care required. An example of supplementary information is the statistical value of the measured values (walking speed, action range, etc.) used to derive the index each time when the index is derived using the detection output of each of multiple periods. Is. The output statistics are, for example, the minimum, maximum, mean, standard deviation, and / or variance of the measured values.

FIG. 21 is a diagram showing another example of an output screen of the certification result of the degree of care required. The screen 2100 of FIG. 21 includes the region 2101 instead of the region 1906 as compared to the screen 1900 of FIG. Area 2101 shows the results of the degree of care required for each index, as well as the minimum and maximum values of measured values such as walking speed used for deriving each index. More specifically, each of Va (min) and Va (max) represents the minimum value and the maximum value of walking speed, respectively. Vb (min) and Vb (max) represent the minimum and maximum values of the action range, respectively. Each of Vc (min) and Vc (max) represents the minimum value and the maximum value of the amount of activity. Each of Vd (min) and Vd (max) represents the minimum value and the maximum value of the repetitive action. Ve (min) and Ve (max) represent the minimum and maximum sleep times, respectively. Each of Vf (min) and Vf (max) represents the minimum value and the maximum value of the number of times of turning over.

In one implementation example, in step S2004, the sensor box 100 generates an index for each of the detection outputs of the plurality of periods, and the representative value (mean value, median value, etc.) of the generated plurality of indexes is finally used. It may be specified as an index. Then, in step S2004, the sensor box 100 temporarily stores statistical values (minimum value and maximum value in the example of FIG. 21) for a plurality of indexes in the storage device 120. Then, the sensor box 100 may include the statistical value temporarily stored in step S2014 in the output screen.

By checking the above statistical values, the administrator of the watching system can infer whether or not the resident's performance was included in the operation for deriving the index. For example, if the difference between the minimum and maximum values is large, the administrator can infer that the action for deriving the index included the resident's performance.

It should be considered that each embodiment disclosed this time is exemplary in all respects and is not restrictive. The scope of the present invention is shown by the scope of claims rather than the above description, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims. Further, the inventions described in the embodiments and the modifications thereof are intended to be carried out alone or in combination as much as possible.

100,100A, 100B sensor box, 101,201,301,401 controller, 105 camera, 105A, 106A interface, 106 Doppler sensor, 800,800A, 800B resident, 900,900A, 900B living room, 1000 reference value database, 1010, 1020, 1500 sets, 1011, 1021 reference zone.

Claims (9)

An interface that acquires the detection output from the sensor, which represents the status of the person subject to certification of the degree of care required, and
A generation unit that uses the detection output to generate detection values for one or more indicators for certifying the degree of care required.
By accessing the storage device that stores the reference value for each degree of care required of the index of 1 or more, the degree of care required of the reference value corresponding to the detected value is specified as the determination result of the degree of care required of the subject. Judgment unit and
It is provided with an output unit that outputs the determination result.
The reference value is an information processing device generated based on the detection output of a sensor for a person who has been certified for each degree of care required in the past. The one or more indicators include a plurality of indicators.
When the detection value of the plurality of indicators corresponds to the degree of need for care of 2 or more, the determination unit derives the degree of need for care corresponding to the most index among the plurality of indicators as the determination result. Item 1. The information processing apparatus according to item 1. The one or more indicators include a plurality of indicators.
Priority is set for each of the plurality of indicators.
When the detection value of the plurality of indicators corresponds to the degree of need for care of 2 or more, the determination unit derives the degree of need for care corresponding to the index having a higher priority among the plurality of indicators as the determination result. The information processing apparatus according to claim 1. The one or more indicators include a plurality of indicators.
The output unit further outputs a notification about an index corresponding to a degree of need for care different from the degree of need for care derived as the determination result among the plurality of indexes, any one of claims 1 to 3. The information processing apparatus according to claim 1. The one or more indicators include a plurality of indicators.
The output unit further outputs a notification for an index corresponding to a degree of care required that differs by a given degree or more from the degree of care required derived as the determination result among the plurality of indexes. The information processing apparatus according to any one of claims 3. The information according to any one of claims 2 to 5, wherein the plurality of indicators include at least one of walking speed, action range, action amount, repetitive action, sleep time, and number of turns. Processing equipment. The generation unit further derives the statistical value of the index when the index of the same type is derived multiple times.
The information processing apparatus according to any one of claims 1 to 6, wherein the output unit further outputs the derived statistical values. A sensor that acquires the operating status of the target person, and
The information processing apparatus according to any one of claims 1 to 7.
An information processing system including an output device that displays a determination result of the degree of need for nursing care of the subject, which is output from the information processing device. By being executed by the computer's processor, the computer,
A step to acquire the detection output from the sensor, which represents the state of the person subject to certification of the degree of care required, and
Using the detection output, a step of generating a detection value for each of one or more indicators for certifying the degree of care required, and
By accessing the storage device that stores the reference value for each degree of care required of the index of 1 or more, the degree of care required of the reference value corresponding to the detected value is specified as the determination result of the degree of care required of the subject. Steps to do and
To execute the step of outputting the determination result and
The reference value is a program generated based on the detection output of the sensor for a person who has been certified for each degree of care in the past.

Images