WO2016125260A1 - 心理状態計測システム - Google Patents
心理状態計測システム Download PDFInfo
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- WO2016125260A1 WO2016125260A1 PCT/JP2015/053026 JP2015053026W WO2016125260A1 WO 2016125260 A1 WO2016125260 A1 WO 2016125260A1 JP 2015053026 W JP2015053026 W JP 2015053026W WO 2016125260 A1 WO2016125260 A1 WO 2016125260A1
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- psychological state
- terminal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1123—Discriminating type of movement, e.g. walking or running
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/162—Testing reaction times
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT 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
- G16H40/60—ICT 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
- G16H40/67—ICT 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
Definitions
- the present invention relates to a psychological state measuring system for measuring a psychological state of a person. More specifically, the present invention relates to a technique for measuring a person's psychological state using a device attached to the human body.
- Non-Patent Document 1 divides it into a group of people who are in a healthy psychological state and a group of people in a depressed state. In some cases, a difference appears in the shape of the distribution.
- an acceleration list is created by using a sensor node having a triaxial acceleration sensor, and an operator's activity is determined based on whether or not the acceleration list exceeds a certain threshold.
- a technique for creating an activity list is described.
- this active list is data in units of seconds, the number of seconds that have been active in one minute is counted, and if it is equal to or greater than a threshold value, that one minute is regarded as active. The effect is also described.
- an object of the present invention is to provide a psychological state analysis system that quantifies the psychological state of the worker so as to make it easier to motivate the worker.
- a representative example is a psychological state analysis system for analyzing the psychological state of a person, comprising a terminal worn on the person's body, An acceleration sensor that measures acceleration of movement, a time series data of acceleration, a storage unit that stores a threshold value, and each value included in the time series data is in a first state that is greater than or equal to the threshold value or less than the threshold value
- a processing unit that performs a process of determining whether the state is the second state, a process of determining a duration time during which the first state continues, and a process of quantifying the psychological state of the person based on the duration time; It is characterized by having.
- a psychological state analysis system for analyzing a person's psychological state, comprising a terminal worn on the person's body, the terminal being based on an acceleration sensor for measuring acceleration of body movement and time series data of acceleration
- a processing unit that calculates a first psychological index that is an index indicating the psychological state of the person in the first time zone and a second psychological index that is an index indicating the psychological state of the person in the second time zone;
- the processing unit includes the first value in the first time zone of the sensor information related to the first and second psychological indicators, the behavior of the person or the environment in which the person exists, and the second of the sensor information. Based on the second value in the time zone, the influence of the sensor information on the person's psychological state is quantified.
- FIG. 1 It is an example of the figure which shows the structure and utilization scene of a psychological state measuring device. It is an example of the figure which shows the structure of a terminal. It is an example of the figure which shows the structure of a sensor network server and a base station. It is an example of the figure which shows the structure of the apparatus connected to an application server from a client, an application server, and others. It is an example of the sequence diagram of the psychological index calculation in a terminal. It is an example of the sequence diagram of the process which synchronizes a setting file. It is an example of the flowchart of a psychological state analysis process. It is a figure explaining the procedure of a psychological state analysis. It is an example of the figure which shows a setting file.
- the present invention is an apparatus for measuring a human psychological state, and is characterized by using a statistical distribution characteristic of frequency of duration of an active state acquired by a sensor terminal attached to a human body.
- FIG. 1 shows a system outline of the first embodiment.
- a sensor terminal TR, TR2-3: hereinafter referred to as TR when no individual is identified
- US US, US2-3: hereinafter, when an individual is not identified, all as US.
- the sensor (not shown) in the terminal (TR) acquires sensing data relating to the movement of the wearer and the face-to-face state (interaction) with other wearers.
- the interaction when the users (US) face each other, the face-to-face is detected by transmitting and receiving infrared rays between the terminals (TR).
- the terminal processes sensing data relating to body movement (hereinafter referred to as triaxial acceleration data, but other groups may be used) in an in-terminal processing unit (not shown), and a program stored in advance Is used to calculate an index related to the psychological state (for example, the happiness level), and a numerical value related to the value or an argument thereof (for example, the frequency of the duration of the active state in a specific range) is connected to the terminal or wirelessly or wiredly with the terminal.
- LCDD display device
- the acquired sensing data and basic indicators are connected wirelessly or by wire, transmitted to the base station (GW), and stored in the sensor network server (SS) through the network (NW). Is done.
- the index regarding the psychological state is calculated by a program using the same coefficient as that of the terminal (TR) in the sensor network server (SS).
- the application server (AS) periodically acquires a psychological index related to a specific individual or group from the sensor network server (SS), and acquires it from an external data server (OS) such as another behavior index calculated from sensing data or a business database.
- OS external data server
- the correlation analysis with the index is performed, and the psychological index and the result of the analysis are sent to the client (CL) and displayed on the screen (OD).
- the application server (AS) is connected to an external device (CM) that can affect the attributes of the environment, such as an air conditioner, and an external sensor (CS) that measures the attributes, and the values and psychological indicators are statistically It is also possible to control an external device (CM) to maximize the psychological index of an individual or group in the environment by analyzing such associations.
- CM external device
- CS external sensor
- the psychological state quantified by the present invention targets a desirable state for the person and the group including the person such as happiness, employee satisfaction, fulfillment, and engagement.
- a desirable state may be indirectly measured by measuring a state that is undesirable for the person and the group including the person, such as depression.
- FIGS. 2 to 4 Block diagram of the entire system> 2 to 4 are block diagrams illustrating the entire configuration of a sensor network system that implements the sensing data display device according to the embodiment of the present invention. Although shown separately for the sake of illustration, the respective processes shown are executed in cooperation with each other. Each function in the figure is realized by cooperation of hardware and software. As apparent from FIGS. 2 to 4, each of these components has a control unit, a storage unit, and a transmission / reception unit.
- the control unit is configured by a central processing unit (CPU, not shown), which is a processing unit such as an ordinary computer, and the storage unit is configured by a memory device such as a semiconductor storage device or a magnetic storage device, and a transmission / reception unit Consists of a network interface such as wired or wireless.
- a clock or the like is provided as necessary.
- FIGS. 2 to 4 respectively indicate time synchronization, associate, storage of acquired sensing data, analysis of sensing data, firmware update, and data or signal flow for control signals. Represents.
- FIG. 2 shows a configuration of a terminal (TR) which is an embodiment of the sensor node.
- the terminal (TR) has a name tag type shape and is assumed to hang from a person's neck. However, this is an example, and other shapes may be used.
- a plurality of terminals (TR) exist in this series of systems, and each of them is worn by a plurality of persons.
- the terminal (TR) detects multiple human face-to-face infrared transmission / reception units (AB), a triaxial acceleration sensor (AC) to detect the wearer's movement, and detects the wearer's speech and surrounding sounds.
- AB human face-to-face infrared transmission / reception units
- AC triaxial acceleration sensor
- Various sensors such as a microphone (AD) for detecting the light, an illuminance sensor (LS1F, LS1B) for detecting the front and back of the terminal, and a temperature sensor (AE) are mounted.
- the sensor to be mounted is an example, and other sensors may be used to detect the face-to-face condition and movement of the wearer.
- the infrared transmitter / receiver (AB) continues to periodically transmit terminal information (TRMT), which is unique identification information of the terminal (TR), in the front direction.
- TRMT terminal information
- the terminal (TR) and the other terminal (TR) mutually exchange their terminal information (TRMT) with infrared rays. Interact with. For this reason, it is possible to record who is facing who. It also detects which user (US) stayed in the area by transmitting and receiving terminal information (TRMT) and position information between a position detector (not shown) installed in the external environment and the terminal (TR). can do.
- Each infrared transmission / reception unit is generally composed of a combination of an infrared light emitting diode for infrared transmission and an infrared phototransistor.
- the infrared ID transmitter (IrID) generates terminal information (TRMT) that is its own ID and transfers it to the infrared light emitting diode of the infrared transceiver module.
- TRMT terminal information
- all the infrared light emitting diodes are turned on simultaneously by transmitting the same data to a plurality of infrared transmission / reception modules.
- independent data may be output at different timings.
- the data received by the infrared phototransistor of the infrared transmission / reception unit (AB) is logically ORed by an OR circuit (IROR). That is, if the ID is received by at least one infrared receiving unit, the terminal recognizes the ID.
- OR circuit IROR
- a configuration having a plurality of ID receiving circuits independently may be employed. In this case, since the transmission / reception state can be grasped with respect to each infrared transmission / reception module, for example, it is also possible to obtain additional information such as in which direction a different terminal is facing.
- Sensing data (SENSD) detected by the sensor is stored in the storage unit (STRG) by the sensing data storage control unit (SDCNT).
- the sensing data (SENSD) is processed into a transmission packet by the communication control unit (TRCC) and transmitted to the base station (GW) by the transmission / reception unit (TRSR).
- the communication timing control unit (TRTMG) takes out the sensing data (SENSD) from the storage unit (STRG) and determines the wireless or wired transmission timing.
- the communication timing control unit (TRTMG) has a plurality of time bases (TB1, TB2) for determining a plurality of timings.
- the data stored in the storage unit includes not only sensing data (SENSD) detected by the sensor immediately before, but also batch data (CMBD) accumulated in the past and firmware for updating the terminal operation program firmware.
- SENSD sensing data
- CMBD batch data
- FMUD firmware update data
- the terminal (TR) of this embodiment detects that the external power source (EPOW) is connected by the external power source connection detection circuit (PDET), and generates an external power source detection signal (PDETS).
- the time base switching unit (TMGSEL) that switches the transmission timing generated by the timing control unit (TRTMG) or the data switching unit (TRDSEL) that switches data to be wirelessly communicated by the external power supply detection signal (PDETS) is the terminal (TR). It is a unique configuration. As an example, FIG. 2 illustrates a configuration in which the time base switching unit (TMGSEL) switches the transmission timing from two time bases of time base 1 (TB1) and time base (TB2) by an external power supply detection signal (PDETS). ing.
- the data switching unit uses the external power supply detection signal (PDETS) from the sensing data (SENSD) obtained from the sensor, the batch sending data (CMBD) accumulated in the past, and the firmware update data (FMUD).
- PETS external power supply detection signal
- SENSD sensing data
- CMBD batch sending data
- FMUD firmware update data
- the illuminance sensors (LS1F, LS1B) are mounted on the front and back surfaces of the terminal (TR), respectively. Data acquired by the illuminance sensors (LS1F, LS1B) is stored in the storage unit (STRG) by the sensing data storage control unit (SDCNT), and at the same time is compared by the turnover detection unit (FBDET).
- the illuminance sensor (LS1F) mounted on the front surface receives external light
- the illuminance sensor (LS1B) mounted on the back surface is sandwiched between the terminal body and the wearer. Therefore, it does not receive extraneous light.
- the illuminance detected by the illuminance sensor (LS1F) takes a larger value than the illuminance detected by the illuminance sensor (LS1B).
- the illuminance sensor (LS1B) receives extraneous light and the illuminance sensor (LS1F) faces the wearer. The illuminance detected by the sensor (LS1B) is larger.
- the name tag node may be turned over and not correctly mounted. It can be detected.
- the turn over detection unit a warning sound is generated from the speaker (SP) to notify the wearer.
- Microphone acquires audio information.
- the surrounding information such as “noisy” or “quiet” can be known from the sound information.
- voice information and acceleration information can be supplemented by voice information and acceleration information.
- the voice acquired by the microphone acquires both a voice waveform and a signal obtained by integrating the voice waveform by an integration circuit (AVG).
- the integrated signal represents the energy of the acquired speech.
- the triaxial acceleration sensor (AC) detects the acceleration of the node, that is, the movement of the node. For this reason, from the acceleration data, it is possible to analyze the intensity of movement of the person wearing the terminal (TR) and behavior such as walking. Furthermore, by comparing the acceleration values detected by a plurality of terminals in the same time zone, the communication activity level, mutual rhythm, mutual correlation, etc. between persons wearing these terminals can be analyzed.
- data acquired by the triaxial acceleration sensor (AC) is stored in the storage unit (STRG) by the sensing data storage control unit (SDCNT).
- ANA a psychological state analysis
- TRSF setting file
- STG storage unit
- DISP display control
- the terminal (TR) further includes a sensor such as a triaxial acceleration sensor (AC).
- the sensing process in the terminal (TR) corresponds to sensing (TRSS1) in FIG.
- each terminal is connected to a nearby base station (GW) to form a personal area network (PAN).
- GW base station
- PAN personal area network
- the temperature sensor (AE) of the terminal (TR) acquires the temperature of the place where the terminal is located, and the illuminance sensor (LS1F) acquires the illuminance such as the front direction of the terminal (TR).
- the surrounding environment can be recorded. For example, it is also possible to know that the terminal (TR) has moved from one place to another based on temperature and illuminance.
- buttons 1 to 3 (BTN1 to 3), a display device (LCDD), a speaker (SP) and the like are provided.
- the storage unit (STRG) is specifically composed of a nonvolatile storage device such as a hard disk or a flash memory, and includes terminal information (TRMT) that is a unique identification number of the terminal (TR), sensing interval, and output to the display. Operation settings (TRMA) such as contents are recorded.
- the storage unit (STRG) can temporarily record data and is used to record sensed data.
- the clock (TRCK) is a clock that holds time information (GWCSD) and updates the time information (GWCSD) at regular intervals.
- GWCSD time information
- GWCSD time information
- the time information periodically corrects the time based on the time information (GWCSD) transmitted from the base station (GW).
- the sensing data storage control unit controls the sensing interval of each sensor according to the operation setting (TRMA) recorded in the storage unit (STRG), and manages the acquired data.
- Time synchronization is performed by obtaining time information from the base station (GW) and correcting the clock (TRCK). Time synchronization may be executed immediately after an associate described later, or may be executed in accordance with a time synchronization command transmitted from the base station (GW).
- the communication control unit performs transmission interval control and conversion to a data format compatible with wireless transmission / reception when transmitting / receiving data.
- the communication control unit may have a wired communication function instead of wireless if necessary.
- the communication control unit may perform congestion control so that transmission timing does not overlap with other terminals (TR).
- the associate (TRTA) transmits / receives an associate request (TRTAQ) and an associate response (TRTAR) to form a personal area network (PAN) with the base station (GW), and transmits a base station (GW) to which data is to be transmitted.
- Associate (TRTA) is executed when the power of the terminal (TR) is turned on and when transmission / reception with the base station (GW) is interrupted as a result of movement of the terminal (TR). In the case of wired connection, it is executed when it is detected that the terminal (TR) is connected to the base station (GW) by wire.
- the terminal (TR) is associated with one base station (GW) in a near range where a radio signal from the terminal (TR) can reach.
- the transmission / reception unit includes an antenna and transmits and receives radio signals. If necessary, the transmission / reception unit (TRSR) can perform transmission / reception using a connector for wired communication. Sensing data / basic index (SENSD) transmitted / received by the transceiver unit (TRSR) is transferred to / from the base station (GW) via the personal area network (PAN).
- SENSD sensing data / basic index
- PAN personal area network
- FIG. 3 shows the configuration of an embodiment of the sensor network server (SS) and the base station (GW).
- the base station (GW) has a role of mediating between the terminal (TR) and the sensor network server (SS).
- a terminal (TR) and a base station (GW) are connected by radio, a plurality of base stations (GW) are arranged so as to cover areas such as living rooms and workplaces in consideration of radio reachable distance.
- an upper limit of the number of terminals (TR) to be managed is set in accordance with the processing capability of the base station (GW).
- the base station includes a transmission / reception unit (GWSR), a storage unit (GWME), and a control unit (GWCO).
- GWSR transmission / reception unit
- GWME storage unit
- GWCO control unit
- the transmission / reception unit receives data from the terminal (TR) wirelessly or by wire, and performs wired or wireless transmission to the sensor network server (SS).
- the transmission / reception unit includes an antenna for receiving radio.
- congestion control that is, communication timing control is performed so that data is not lost during transmission and reception of sensing data.
- the type of received data is distinguished. Specifically, the received data is identified as general sensing data, associate data, or time-synchronized response, etc., from the header part of the data, and these data are respectively appropriate. To pass the function.
- the storage unit (GWME) is configured by an external recording device (not shown) such as a hard disk, a memory, or an SD card.
- the storage unit (GWME) stores operation settings (GWMA), data format information (GWMF), terminal management table (GWTT), base station information (GWMG), and terminal firmware (GWTFD).
- the operation setting (GWMA) includes information indicating an operation method of the base station (GW).
- the data format information (GWMF) includes information indicating a data format for communication and information necessary for tagging the sensing data.
- the terminal management table (GWTT) includes terminal information (TRMT) of the subordinate terminals (TR) currently associated with each other and local IDs distributed to manage those terminals (TR).
- the terminal management table (GWTT) may be omitted.
- the base station information includes information such as the address of the base station (GW) itself.
- the terminal firmware (GWTFD) stores a program for operating the terminal. When an instruction and new terminal firmware are received from the sensor network server (SS), the firmware update data (TRDFW) is personalized. It transmits to the terminal (TR) through the area network (PAN) (GWCFW).
- the storage unit (GWME) may further store a program executed by a CPU (not shown) of the control unit (GWCO).
- the control unit includes a CPU (not shown).
- the CPU executes a program stored in the storage unit (GWME)
- the timing at which sensing data is received from the terminal (TR), the processing of the sensing data, and the transmission / reception to the terminal (TR) or the sensor network server (SS) And the timing of time synchronization are managed.
- processing such as data reception control (GWCSR), data transmission (GWCSS), associate (GWCTA), terminal management information correction (GWCTF), terminal firmware update (GWCFW), and time synchronization (GWCS) is executed.
- GWCSR data reception control
- GWCSS data transmission
- associate GWCTA
- GWCTF terminal management information correction
- GWCFW terminal firmware update
- GWCS time synchronization
- the clock (GWCK) holds time information.
- the time information is updated at regular intervals.
- the time information of the clock (GWCK) is corrected by the time information acquired from an NTP (Network Time Protocol) server (TS) at regular intervals.
- NTP Network Time Protocol
- Time synchronization transmits time information to a subordinate terminal (TR) at regular intervals or triggered by the terminal (TR) being connected to the base station (GW). Thereby, the time of the clock (GWCK) of the plurality of terminals (TR) and the base station (GW) is synchronized.
- GWCTA performs an associate response (TRTAR) that transmits the assigned local ID to each terminal (TR) in response to the associate request (TRTAQ) sent from the terminal (TR).
- TRTAQ associate request
- the associate (GWTA) performs terminal management information correction (GWCTF) for correcting the terminal management table (GWTT).
- GWCSR Data reception control receives a packet of sensing data (SENSD) sent from the terminal (TR).
- SENSD sensing data
- the header of the data packet is read to determine the type of data, and at the same time, congestion control is performed so that data from a large number of terminals (TR) is not concentrated.
- GWCSS assigns the ID of the base station through which the data has passed and its time data, and transmits the sensing data to the sensor network server (SS).
- the sensor network server (SS) includes a transmission / reception unit (SSSR), a storage unit (SSME), and a control unit (SSCO).
- SSSR transmission / reception unit
- SSME storage unit
- SSCO control unit
- Sensor net server manages data collected from all terminals (TR). Specifically, the sensor network server (SS) stores the sensing data sent from the base station (GW) in the sensing database (SSDB), and stores the basic index in the index storage table (SSDTB) (SSCDB). . Further, data in the index storage table (SSDT) is searched based on a request from the application server (AS) and transmitted to the application server (AS) (SSDG).
- the sensor network server (SS) manages information on the base station (GW) and the terminal (TR) under its management as needed. Also, this is the starting point of a control command for updating the firmware of the terminal (TR).
- the setting file (SSSF) is modified because the psychological index calculation program stored in the setting file (SSSF) and some of the coefficients for calculating the index are preferably synchronized with the terminal (TR)
- the setting file (TRSF) in the terminal (TR) is updated using the terminal firmware update (SSCFW) path.
- the transmission / reception unit transmits and receives data to and from the base station (GW), application server (AS), personal client (CP), and client (CL), and performs communication control at that time .
- the storage unit (SSME) is configured by a data storage device such as a hard disk, and includes at least a sensing database (SSDB), an index storage table (SSDT), a data format information (SSMF), a terminal management table (SSTT), and a terminal firmware (SSFW). ). Furthermore, the storage unit (SSME) stores a program executed by a CPU (not shown) of the control unit (SSCO).
- SSDB sensing database
- SSDT index storage table
- SSMF data format information
- SSTT terminal management table
- SSFW terminal firmware
- the sensing database includes sensing data acquired by each terminal (TR), information on the terminal (TR), information on a base station (GW) through which the sensing data transmitted from each terminal (TR) has passed, and the like. It is a database for recording. A column is created for each data element such as acceleration and temperature, and the data is managed. A table may be created for each data element. In either case, all data is managed in association with terminal information (TRMT), which is the ID of the acquired terminal (TR), and information regarding the sensed time.
- An example of an acceleration data table held in the sensing database (SSDB) is shown in FIG. 15 (SSDB_ACC — 1002), and an example of two infrared data tables is shown in FIG. 16 (SSDB_IR — 1002) (SSDB_IR — 1003).
- FIG. 17 shows an example of a table of acceleration frequencies (or behavior rhythms) in the case of.
- the data format information includes a data format for communication, a method of separating sensing data tagged with a base station (GW) and recording it in a database, information indicating how to respond to a data request, and the like. ing.
- This data format information (SSMF) is referred to after data reception and before data transmission to perform data format conversion and data distribution.
- the terminal management table (SSTT) is a table that records which terminal (TR) is currently managed by which base station (GW). When a new terminal (TR) is added under the management of the base station (GW), the terminal management table (SSTT) is updated. Further, when the base station (GW) and the terminal (TR) are connected by wire, the terminal management information may not always be monitored.
- the terminal firmware (SSFW) stores a program for operating the terminal, and when the terminal firmware update (SSCFW) is performed, the terminal firmware (SSFW) is updated and the network (NW) This is sent to the base station (GW) through the network, and further sent to the terminal (TR) through the personal area network (PAN) to update the firmware in the terminal (TR) (FMUD).
- the control unit includes a CPU (not shown) and controls transmission / reception of sensing data and recording / retrieving to / from a database. Specifically, when the CPU executes a program stored in the storage unit (SSME), data storage (SSCDB), terminal management information correction (SSCTF), terminal firmware update (SSCFW), psychological state analysis (SSCDT) And processing such as behavior discrimination (SSCAD).
- SSME storage unit
- SSCDB data storage
- SSCTF terminal management information correction
- SSCFW terminal firmware update
- SSCDT psychological state analysis
- processing such as behavior discrimination (SSCAD).
- SSCDB Data storage
- GW base station
- SSDB sensing database
- Additional information such as time information, terminal ID, and time via the base station is combined and stored in the database as one record.
- the clock (SSCK) maintains a standard time by periodically connecting to an external NTP server (TS).
- TS an external NTP server
- the sensing data processing (SSCDT) is activated (SSTK).
- SSCDT Psychological state analysis
- SSCAD Behavior discrimination
- the terminal management information correction updates the terminal management table (SSTT) when receiving a command for correcting the terminal management information from the base station (GW). This is for constantly grasping a list of terminals (TR) under the control of each base station (GW).
- the terminal firmware update updates the terminal firmware (SSFW) in the storage unit (SSME) when it becomes necessary to update the firmware of the terminal (TR) manually or automatically.
- GW is instructed to update the firmware of the terminal (TR) under its control.
- a response that the firmware update is completed at each terminal (TR) is received, and the process is continued until the update of all the terminals (TR) is completed.
- FIG. 4 shows a configuration of an embodiment of a client (CL), an application server (AS), and devices connected from the outside.
- the client (CL) inputs and outputs data as a contact point with the user (US).
- the client (CL) includes an input / output unit (CLIO), a transmission / reception unit (CLSR), a storage unit (not shown), and a control unit (CLCO).
- the input / output unit (CLIO) is a part that serves as an interface with the user (US).
- the input / output unit (CLIO) includes a display (CLOD), a touch panel (CLIT), a keyboard (CLIK), a mouse (CLIM), and the like.
- Other input / output devices can be connected to an external input / output (CLIU) as required.
- the display (CLOD) is an image display device such as a CRT (Cathode-Ray Tube) or a liquid crystal display.
- the display (CLOD) may include a printer or the like.
- the touch panel (CLIT) is used to support the input by the user, the touch panel (CLIT) is installed so as to overlap the screen (OD) of the display (CLOD), and output and input are performed on the same screen. You can also show it.
- the transmission / reception unit (CLSR) transmits / receives data and commands to / from an application server (AS) or a device connected to another network. Specifically, the transmission / reception unit (CLSR) transmits a request for a screen to be displayed to the application server (AS), and receives an image corresponding to the request.
- the storage unit (not shown) is composed of an external recording device such as a hard disk, memory or SD card.
- the storage unit (not shown) may store a display history, a user (US) login ID, and the like.
- the control unit includes a CPU (not shown) and controls the screen (CLCOD) for output to a display (CLOD) or the like, and the user (US) notifies the application server (AS) of a change in analysis conditions.
- Process such as analysis condition setting (CLCS).
- AS Application Server
- ASCA Application Server
- ASMC optimal control of external devices
- ASCD Screen generation
- the application server includes a transmission / reception unit (ASSR), a storage unit (ASME), and a control unit (ASCO).
- ASSR transmission / reception unit
- ASME storage unit
- ASCO control unit
- the transmission / reception unit is connected to the sensor network server (SS), the NTP server (TS), the client (CL), the external device (CM), the external sensor (CS), and the external data server (OS) through the network (NW). Data is transmitted to and received from the network, and communication control for that is performed.
- the storage unit (ASME) is composed of an external recording device such as a hard disk, memory or SD card.
- the storage unit (ASME) stores the created content information, a program for creating content, and other data related to content creation. Specifically, the storage unit (ASME) stores a user attribute list (ASUL), a display setting file (ASDF), an external data table (ASDT), and a control target value (ASCT).
- ASUL user attribute list
- ASDF display setting file
- ASDT external data table
- ASCT control target value
- the user attribute list is a comparison table of the ID of the terminal (TR) and the name / user ID / affiliation, mail address, attribute, etc. of the user (US) wearing the terminal. Reference is made when the ID received from the other party at the time of meeting between persons is linked to the name, the psychological index is aggregated for each department, or the display content is changed according to the ID logged in to the Web.
- FIG. 14 shows a specific example.
- the control unit (ASCO) includes a CPU (not shown) and executes processes such as data analysis and screen generation.
- the application server (AS) has a clock (ASCK) and is connected to an external NTP server (TS) to maintain an accurate time.
- ASCK clock
- TS NTP server
- ASTK timer
- the program can be started manually or when an instruction from the client (CL) is received, or triggered by the fact that the index transmitted from the sensor network server (SS) is a specific pattern. Also good.
- Display screen generation sends a request to the sensor network server (SS) to acquire necessary data, and also includes the results of correlation analysis (ASCA) and user attribute list (ASUL) and display settings.
- the screen is drawn with reference to the file (ASDF) and transmitted to the client (CL).
- Correlation analysis performs statistical analysis using data obtained from external data tables (ASDT) such as psychological indicators and data after behavior discrimination in the sensor network server (SS), business / financial data, etc., and maximizes Extract the index that is statistically related to the index you want.
- ASDT external data tables
- ASMC external device control
- ASCT control target value
- correlation analysis performs an analysis to quantify the influence of other indicators on psychological indicators. Specifically, by analyzing the correlation between the psychological index in the first and second time zones and other sensor information in the first and second time zones, the influence of the sensor information on the psychological index. Can be quantified.
- the analysis condition update determination checks whether there is a change in the estimation formula of the psychological index, its coefficient, and the type of argument to be used, and if an update is necessary, sends an update request to the sensor network server (SS). Then, the setting file (SSSF) is updated, and the terminal firmware update (SSCFW) is activated to update the setting file (TRSF) in the terminal (TR).
- External data storage acquires data from operation logs of external devices (CM) connected to the application server (AS), logs of external sensors (CS), business / financial data in the external data server (OS), etc.
- time information is adjusted, converted into a format suitable for correlation analysis (ASCA), and stored in an external data table (ASDT).
- the external device control is a mechanism for controlling the external device (CM) connected to the application server (AS), and appropriately controls the external device (CM) according to the control algorithm stored in the control target value (ASCT). Send control commands to get into the state. If necessary, information on the external sensor (CS) that senses an object that the external device (CM) has an effect on is acquired sequentially, and the sensor value is optimized (that is, the psychological index H described later is maximized).
- the driving device (CMAA) may be controlled so as to obtain a sensor value.
- the external device (CM) is an air conditioner
- a room temperature meter is installed as an external sensor (CS)
- ASCA correlation analysis
- a control command is sent to the air conditioner as the target value.
- control to optimize human psychological indicators in environmental BGM control volume control and music selection
- how to assign passengers to be placed on elevators and vehicles and how to present information in driving a car. Can do.
- FIG. 5 is a sequence diagram showing a procedure of psychological index calculation centered on the terminal (TR), which is executed in the embodiment of the present invention.
- the terminal (TR) when the terminal (TR) is turned on and the terminal (TR) is not associated with the base station (GW), the terminal (TR) periodically associates with the timer activation (TRST1) (TRTA1). )I do. Associate is to define that the terminal (TR) has a relationship of communicating with a certain base station (GW).
- the terminal (TR) next performs time synchronization (TRCS).
- TRCS time synchronization
- a terminal (TR) receives time information from a base station (GW) and sets a clock (TRCK) in the terminal (TR).
- TRCK clock
- the base station (GW) periodically connects to the NTP server (TS) to correct the time. For this reason, time is synchronized in all the terminals (TR). This makes it possible to compare and analyze data at the same time between persons by comparing the time information attached to the sensing data when analyzing later.
- Various sensors such as the triaxial acceleration sensor (AC) and temperature sensor (AE) of the terminal (TR) start a timer (TRST2) at a constant cycle, for example, every 10 seconds, and sense acceleration, sound, temperature, illuminance, and the like. (TRSS1).
- the terminal (TR) detects the facing state by transmitting / receiving a terminal ID, which is one of terminal information (TRMT), to / from another terminal (TR) using infrared rays.
- Various sensors of the terminal (TR) may always perform sensing without starting the timer (TRST). However, it is possible to use the power source efficiently by starting up at a constant cycle, and it is possible to continue using the terminal (TR) for a long time without charging.
- the terminal (TR) attaches time information of the clock (TRCK) and terminal information (TRMT) to the sensed data (TRCT1).
- TRCK time information of the clock
- TRMT terminal information
- TRCT1 sensed data
- SS sensor network server
- AS application server
- the terminal (TR) attaches tag information such as sensing conditions to the sensing data, converts it to a predetermined transmission format, and records it in the storage unit (STRG) in the terminal.
- This format is stored in common with the data format information (GWMF) in the base station (GW) and the data format information (SSMF) in the sensor network server (SS).
- the converted data is then transmitted to the base station (GW).
- ANA a Psychological state analysis
- TRST3 determines whether it is in an active state (inactive state) from acceleration data according to the read setting file (TRSF), and counts the active duration time.
- TRSF read setting file
- ANA1 a date at the time of a day specified in advance in the setting file (TRSF) (for example, 2:00 am).
- STG the frequency count memory is reset (ANA1).
- acceleration data is read in every predetermined time unit (for example, 1 minute), an acceleration rhythm is calculated, and it is determined whether or not it is in an active state.
- the duration is counted up and the value of the active duration displayed on the display device (LCDD) is updated (ANA3) (LCDD1) ).
- the frequency data in the basic index (TRIF) is overwritten (ANA4) in the applicable duration range.
- the psychological index is recalculated using a predetermined function (ANA5), and the value of the psychological index is also overwritten.
- This function is a prediction formula with the frequency of a specific activity duration as an argument, as shown in FIG.
- the updated frequency data and psychological index are displayed on the display device (LCDD) (ANA6) (LCDD2).
- the display screen may be switched (LCDD4) by pressing any button (BTN) (LCDD3) as shown in FIG.
- a timer is started at a predetermined time (TRST4), and after establishing an associate (TRTA2) with the base station (GW), the sensing data and the basic index of the difference from the previous transmission are transmitted to the base station (GW), respectively.
- TRST4 a predetermined time
- TRTA2 an associate
- TRTA2 the sensing data and the basic index of the difference from the previous transmission are transmitted to the base station (GW), respectively.
- TRSE1 TRSE2
- the base station (GW) receives it (GWSE1) (GWSE2).
- SSSF two setting files
- TRSF two setting files
- a range definition (LD) for classifying the duration of the active state
- SF_TH acceleration frequency threshold value
- SF_RE time for updating the date when the psychological index is calculated every day
- SF_EQ mathematical formula
- FIG. 6 shows a sequence diagram of processing when the setting file (SSSF) in the sensor network server (SS) and the setting file (TRSF) in the terminal (TR) are synchronized.
- the analysis condition update determination is performed by the timer activation (ASF1), and when the analysis condition is changed from the client (CL) or a correlation analysis with a psychological index by a regular questionnaire (
- ASCD the timer activation
- ASF3 a setting file update request (ASF3) is transmitted.
- the sensor network server (SS) receives the request, updates the corresponding part of the setting file (SSSF) in itself (SSF1), and further activates the terminal firmware update (SSCFW) to update the setting file of the terminal (TR). Is sent to the base station (GW).
- the base station activates terminal firmware update (GWCFW) and sends an update command to all or specified terminals (TR) under management.
- GWCFW terminal firmware update
- TRSF setting file
- FIG. 7 shows a flowchart of psychological state analysis. Further, FIG. 8 shows a table for explaining the calculation procedure by an example.
- ANA psychological state analysis
- SSCDT psychological state analysis
- the storage table (SSDT) and used for display screen generation (ASCD) or correlation analysis (ASCA) the psychological state analysis (SSCDT) in the sensor network server (SS) can be omitted.
- using the value of the appearance frequency for each specific period (for example, every day) output in the psychological state analysis (ANA) in the terminal (TR) only the procedure after the procedure (AN06) is performed on the sensor network server (SS). It is also possible to recalculate as a psychological index of a group including a plurality of periods or a plurality of persons in the psychological state analysis (SSCDT).
- time series data of acceleration is input (AN01), and an acceleration frequency for a predetermined time unit, for example, every minute is calculated (AN02).
- AN01 time series data of acceleration
- AN02 an acceleration frequency for a predetermined time unit, for example, every minute is calculated
- a geometric average of the three-axis values for each sensing time ⁇ t is obtained as one positive value
- the frequency is calculated from the time-series data F (t).
- a method for obtaining the frequency an existing method such as a fast Fourier transform may be used.
- the time series data F (t) is blurred by a width of n ⁇ ⁇ t, and a difference between the value of the time t and the value of the time t + ⁇ t is newly determined.
- the frequency may be calculated for convenience by counting time series data (G (t)) and counting the number of peaks of F (t) for convenience. In the example of the column (t0804) in FIG. 8, the frequency value is multiplied by 100 and indicated by an integer.
- the acceleration frequency is greater than or equal to a predetermined threshold (SF_TH) every unit time (for example, 1 minute), and if it is greater than or equal to the threshold, it is determined that it is in an active state (AN03) (t0805).
- SF_TH a predetermined threshold
- the time during which it is in the active state is counted continuously (t0806), and the active duration L is calculated (AN04) (t0807).
- a range any one of L0 to Ln
- LD range definition
- SSSF setting file
- TRSF the corresponding appearance frequency
- a daily psychological index H is calculated using a calculation formula (SF_EQ) including predetermined arguments (for example, e1 and e3) specified in the setting file (SSSF) or (TRSF).
- SF_EQ calculation formula
- the psychological index H and the value of the appearance frequency (e0 to en) as necessary are output or transmitted to the next step (AN07).
- FIGS. 18A to 18D are diagrams illustrating the inventors' findings that confirm that human happiness or depression tends to appear in the duration of physical exercise.
- FIG. 18A is a diagram for explaining the active duration L, and the vertical axis indicates the active state as a binary value determined by whether the acceleration frequency is equal to or higher than a threshold value.
- FIG. 18B illustrates the distribution of the active duration from the frequency of the acceleration data obtained with an actual wearable sensor. Based on a stress questionnaire, the low stress person data and the high stress person data are separated. It is shown. From this result, it was confirmed that the distribution of human activity duration has a certain tendency, and that the slope of the distribution varies depending on the stress level. In addition, we collect psychological indices of multiple persons using questionnaires such as CES-D, which are commonly used in psychology, in order to search for areas L1 and L2 where the difference in activity duration is particularly significant. It was confirmed that the index value H0 was sufficiently predictable by the linear sum of the frequencies of the two types of activity durations (FIG. 18 (c)). FIG. 18C is a distribution of the average value of the questionnaire for each group and the value H predicted by the calculation formula shown in FIG. As a result, it was confirmed that the prediction can be made well.
- CES-D which are commonly used in psychology
- FIG. 18D discloses a calculation formula for predicting a psychological index (a value indicating happiness, a happiness level).
- the psychological index H is expressed by a linear sum of frequencies of activity durations in at least two types of ranges.
- the constants a, b1, and b2 are determined so as to maximize the fit with the value of the questionnaire result.
- one coefficient of the term including the frequency becomes a negative value, and the other coefficient becomes positive. This can be interpreted as allocation being a trade-off, while the upper limit of the daily activity time is limited.
- the result is that the duration range L1 of the term having a negative coefficient is smaller than the duration range L2 of the term having a positive coefficient, and the number of times that the active state lasts long without interruption is short.
- the measurement time T is the number of measurement data in one day.
- each term is regarded as the occurrence probability of the duration in each range, and the psychological index is calculated by the linear sum of the occurrence probabilities.
- the psychological state analysis system for analyzing the psychological state of a person includes a terminal (TR) that is worn on the person's body.
- the terminal (TR) includes an acceleration sensor (AC) that measures acceleration of body motion, a storage unit (STRG) that stores acceleration time-series data (SENSD) and a threshold value (SF_TH), and time-series data (SENSD).
- AC acceleration sensor
- STG storage unit
- SENSD acceleration time-series data
- SF_TH threshold value
- SENSD time-series data
- the processing unit for a plurality of regions (L1, L2) whose duration is in a predetermined range, the appearance frequency (e1 / T, e2 / T) of the duration included in each region. ) Based on the psychological state.
- the plurality of regions include a first region (L1) whose duration is the first range and a second region (L2) whose duration is the second range, and the second region
- the upper limit of the range is preferably larger than the upper limit of the first range. This is because the range in the trade-off relationship described above can be clarified.
- the processing unit (ANA) includes the first term including the first appearance frequency (e1 / T) that is the appearance frequency of the duration included in the first region, and the second region.
- the psychological state may be quantified by the sum of the second term including the second appearance frequency (e2 / T) which is the appearance frequency of the included duration.
- the first appearance frequency and the second appearance frequency one is a sum of terms having a negative coefficient and the other one having a positive coefficient. This is based on the knowledge described with reference to FIG. 18. With such a configuration, it is possible to calculate a distribution that fits well with the average value of the questionnaire, and to reproduce the psychological state of the person with higher accuracy.
- the psychological state measurement system includes an external sensor (CS) that measures sensor information related to an environment where a person exists, an external device (CM) that has a function of changing sensor information, and an application server (AS).
- the application server (AS) further includes a process (ASCA) for analyzing the correlation between the psychological state quantified by the processing unit (ANA) and the sensor information, and the psychological state value based on the correlation analysis result. It is preferable to perform processing (ASMC) for causing an external device to perform control for changing sensor information so as to increase the sensor information. With this configuration, it is possible to control an external device that optimizes a person's psychological index.
- the psychological state analysis system which analyzes the mental state of the person based on a present Example will be equipped with the terminal (TR) with which a person's body is equipped, and a terminal (TR) will be the acceleration of a motion of a body.
- a first psychological index which is an index indicating a person's psychological state in the first time zone, and a person in the second time zone, based on an acceleration sensor (AC) that measures the time and acceleration time-series data (SENSD)
- ANA processing unit that calculates a second psychological index that is an index indicating the psychological state of the patient.
- the processing unit (ANA) includes the first and second psychological indexes (H) and the behavior of the person.
- Sensor information for example, information on the number of steps obtained from the triaxial acceleration sensor (AC)
- sensor information on the environment where the person exists for example, various information obtained from the external sensor (CS), infrared transmission / reception
- the influence of the sensor information on the person's psychological state can be interpreted as a numerical value.
- the method of calculating the psychological index (H) is the one described in FIG. 18, but is not limited thereto, and includes the one calculated by other calculation methods. By such a method, it is possible to quantify the influence of changes in sensor information on the psychological state, and it is possible to control the sensor information to a value optimal for a person using the numerical value.
- FIG. 10 Display screen example of terminal> An example of the screen of the display device (LCDD) of the terminal (TR) that measures the psychological state, invented based on the knowledge shown in FIG. 18, is shown in FIG.
- the terminal (TR) calculates and displays a psychological index (TROD20) using an acceleration frequency from a predetermined time (for example, 2:00 am) to the present time in the terminal (TR).
- the screen can be switched (LCDD3) by pressing some buttons (BTN1 to 3).
- BTN1 to 3 buttons
- it is not desirable that the psychological index (TROD20) is always visible from another person when the terminal (TR) is worn usually another screen 1 (TROD1) is displayed and the psychological state only for a predetermined time after the button is pressed. It is also possible to display (TROD20) (TROD2).
- the duration of the active state is displayed during normal operation.
- the motivation to continue the active state can be performed.
- the duration is 5 minutes or more and less than 10 minutes, the psychological state is negatively affected (undesirable influence), and 15 minutes or more and 20 minutes. If the duration of less than is satisfied, it can be interpreted as having a positive influence (desirable influence) on the psychological state.
- the frequency of appearance in one day in this range is displayed together with explanations of “Oops!” And “Success!” (TRODe1) (TRODe3).
- TRODe1 TRODe3
- it may be set with the goal of maintaining the activity for 15 minutes, and the duration of the active state from the time when the active state is once interrupted to the present time may be displayed together (TRODe).
- the display unit (LCDD) has a duration (TRODe), a frequency of occurrence of a duration (TRODe1, TRODe3) included in a certain region where the duration is in a predetermined range, or The psychological value (TROD20) that has been digitized is displayed.
- a display mode makes it possible to motivate the worker more appropriately.
- the first appearance frequency (TRODe1) which is the appearance frequency of the duration included in the first area (L1) and the second appearance frequency of the duration included in the second area (L2). It is preferable to display the appearance frequency (TRODe3).
- the upper limit of the second range is preferably larger than the upper limit of the first range.
- Such a display mode makes it easier for the worker to grasp the desired behavior and the undesirable behavior identified based on the knowledge described in FIG. 18, and motivates the worker more accurately. .
- FIGS. 11, 12, and 13 Web Application Display Screen Examples> 11 and 12 are examples of the display screen (OD) of the Web application generated by the display screen generation (ASCD).
- FIG. 12 shows an example of a screen for the user (US) to confirm the psychological index of himself or his organization.
- the graph (HG) displays time-series changes in psychological indices such as the person and the organization to which he belongs.
- the activity duration distribution (HV) which is an argument of the psychological index, may be displayed in a graph to confirm the appearance frequency of the desired range and the range that is not. In this way, it is possible to confirm what causes the high and low days of the psychological index, and to examine the measures for improving the psychological state by linking with the events of the day.
- FIG. 12 is an example of a screen (OD) showing the result of correlation analysis (ASCA).
- ASCA correlation analysis
- FIG. 13 is an example of an index storage table (SSDT) for one user (US). Reading the values of the index storage table (SSDT), the screens illustrated in FIGS. 10, 11, and 12 are generated.
- the basic index (TRIF) in the terminal (TR) has the same items, but if the storage capacity is small, the specification may hold data for only a few days.
- the index storage table (SSDT) stores the frequency (e0 to e4) for each designated range L, the measured total time T, and the predicted value (H) of the psychological index.
- data such as behavior discrimination (SSCAD) results may be stored, but is omitted in FIG.
- FIG. 14 is an example of the format of the user attribute list (ASUL) stored in the storage unit (ASME) of the application server (AS).
- ASUIT1 user number
- ASUIT2 user name
- ASUIT3 terminal ID
- ASUIT4 part
- ASUIT5 part
- ASUIT5 section
- the user number (ASUIT1) indicates a serial number of an existing user.
- the user name (ASUIT2) is a notation of the name or nickname of the user (US) used when generating the display screen or content
- the terminal ID (ASUIT3) indicates terminal information of the terminal (TR) owned by the user (US).
- the user (US) and the terminal ID (ASUIT3) basically correspond one to one.
- the department (ASUIT4) and section (ASUIT5) to which the user belongs is information on the organization to which the user (US) belongs. For example, when creating basic content in organizational units, the members included in the data are based on this information. Identify.
- the information on the user and the organization to which the user belongs is defined in the form of a table, but this may be shown hierarchically using XML or the like. In such a case, it is possible to indicate according to the organizational hierarchy, such as A section under company A and A1 section under section A, and the individual user name in the corresponding organization And terminal ID can be described. Since the same person may concurrently serve as a plurality of organizations, a plurality of organizations may correspond to one user.
- FIG. 15 shows an example of an acceleration data table (SSDB_ACC — 1002) as an example of sensing data stored in the sensing database (SSDB) in the sensor network server (SS).
- This is basically the sensing data acquired by the terminal (TR) as it is, and is the data that has not undergone down-processing.
- a table is created for each individual, and is associated with time information (DBTM) every sampling period (for example, 0.02 seconds), and each of the three axis directions of the X axis (DBAX), Y axis (DBAY), and Z axis (DBAZ) Acceleration data is stored.
- DBTM time information
- DBAX X axis
- DBAY Y axis
- DBAZ Z axis
- G gravity constant
- Such an acceleration data table is created for each member, and stored in association with the sensed time information. If a column indicating the user ID is added, the tables may be integrated without being divided for each individual.
- FIG. 16 Example of sensing database (SSDB): meeting table> A plurality of types of sensing data of a plurality of members are recorded in the sensing database (SSDB).
- An example of a table in which meeting data by infrared transmission / reception is collected is shown in FIGS. (A) of FIG. 16 is a meeting table (SSDB_IR_1002), and is assumed to be a table in which data acquired by a terminal (TR) having a terminal ID of 1002 is collected.
- (B) of FIG. 16 is a meeting table (SSDB_IR_1003), which is a table in which data acquired by a terminal (TR) having a terminal ID of 1003 is collected. If the infrared receiver ID is added to the column, the table need not be divided for each acquired terminal (TR). Also, other data such as acceleration and temperature may be included in the same table.
- 16 (A) and 16 (B) 10 sets of the time (DBTM) when the terminal (TR) transmitted data, the infrared transmission side ID (DBR1), and the number of receptions from the ID (DBN1) ( DBR1 to DBR10, DBN1 to DBN10).
- this table shows how many infrared rays are received from which terminal (TR) in 10 seconds after the previous transmission. Even when facing a plurality of terminals (TR) in 10 seconds, up to 10 sets can be stored. The number of sets can be freely set. If there is no meeting, that is, there is no infrared reception, the value in the table is null.
- the time is expressed up to milliseconds, but any time format may be used.
- SSDB sensing database
- SSCDT psychological state analysis
- AN02 anxiety state analysis
- ANA psychological state analysis
- FIG. 17 An example of the acceleration frequency table (SSDB_ACCTP_1min) is shown in FIG.
- the acceleration frequency table (SSDB_ACCTP_1min) is calculated based on the acceleration data table (SSDB_ACC) for each user (US) at a certain time (for example, 1 minute). This is stored in the table in association with the ID.
- the data may be stored in another method such as a CSV file.
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Abstract
Description
図1に、第1の実施の形態のシステム概要を示す。第1の実施の形態では、センサ端末(TR、TR2~3:以下個体を識別しない場合にはすべてTRと示す)をユーザ(US、US2~3:以下個体を識別しない場合にはすべてUSと示す)が装着し、その端末(TR)内のセンサ(図示省略)によって装着者の動きや他の装着者との対面状態(インタラクション)に関するセンシングデータを取得する。インタラクションについては、ユーザ(US)同士が対面した際に各端末(TR)間で赤外線を送受信することで対面を検知する。
図2から図4は、本発明の実施の形態のセンシングデータ表示装置を実現するセンサネットワークシステムの全体構成を説明するブロック図である。図示の都合上分割して示してあるが、各々図示された各処理は相互に連携して実行される。また、図内のそれぞれの機能はハードウェアとソフトウェアの協働によって実現される。これらの各構成要素は図2~4から明らかなように、制御部と記憶部と送受信部を有している。制御部は通常のコンピュータ等の処理部である中央処理部(Central Processing Unit:CPU、図示省略)などで構成され、記憶部は半導体記憶装置や磁気記憶装置等のメモリ装置で構成され、送受信部は有線・無線等のネットワークインタフェースで構成される。その他、必要に応じて時計等を備えている。
図2は、センサノードの一実施例である端末(TR)の構成を示している。ここでは端末(TR)は名札型の形状をしており、人物の首からぶら下げることを想定しているが、これは一例であり、他の形状でもよい。端末(TR)は、多くの場合には、この一連のシステムの中に複数存在し、複数の人物がそれぞれ身に着けるものである。端末(TR)は人間の対面状況を検出するための複数の赤外線送受信部(AB)、装着者の動作を検出するための三軸加速度センサ(AC)、装着者の発話と周囲の音を検出するためのマイク(AD)、端末の裏表検知のための照度センサ(LS1F、LS1B)、温度センサ(AE)の各種センサを搭載する。搭載するセンサは一例であり、装着者の対面状況と動作を検出するために他のセンサを使用してもよい。
図3は、センサネットサーバ(SS)及び基地局(GW)の一実施例の構成を示している。
基地局(GW)は、端末(TR)とセンサネットサーバ(SS)を仲介する役目を持つ。端末(TR)と基地局(GW)間が無線で接続する場合には、無線の到達距離を考慮して、居室・職場等の領域をカバーするように複数の基地局(GW)が配置される。有線で接続する場合には、基地局(GW)の処理能力に合わせて管理する端末(TR)の個数の上限が設定される。
センサネットサーバ(SS)は、送受信部(SSSR)、記憶部(SSME)及び制御部(SSCO)を備える。
図4に、クライアント(CL)、アプリケーションサーバ(AS)、さらに外部から接続される機器等の一実施例の構成を示す。
クライアント(CL)は、ユーザ(US)との接点となって、データを入出力する。クライアント(CL)は、入出力部(CLIO)、送受信部(CLSR)、記憶部(図示省略)、制御部(CLCO)を備える。
アプリケーションサーバ(AS)は、心理指標と他の行動指標・業績指標などとの相関分析(ASCA)、外部機器の最適制御(ASMC)、心理指標や相関分析の結果、外部機器の状態等をクライアント(CL)に提示するための画面生成(ASCD)を行う。
図5は、本発明の実施の形態において実行される、端末(TR)を中心とする心理指標計算の手順を示すシーケンス図である。
ユーザ(US)が端末(TR)を装着中に表示装置(LCDD)で確認した値と、後にクライアント(CL)の画面(OD)で確認した値は一致していることが望ましいため、センサネットサーバ(SS)における心理状態解析(SSCDT)の結果得られる心理指標と、端末(TR)における心理状態解析(ANA)の結果得られる心理指標とは一致する必要がある。そのためには、センサネットサーバ(SS)内の設定ファイル(SSSF)と端末(TR)内の設定ファイル(TRSF)において、心理指標を算出するための関数の設定値は同期されている必要がある。2つの設定ファイル(SSSF)(TRSF)において値が同期されているべき設定値の一例を図9に示す。たとえば、活性状態の持続時間を分類する際の範囲定義(LD)や、活性状態と判定する加速度周波数の閾値(SF_TH)、1日ごとに心理指標を算出する場合の日付を更新する時刻(SF_RE)、心理指標を計算する数式(SF_EQ)などがある。
図7に、心理状態解析のフローチャートを示す。さらに図8に、実例によって計算手順を説明するための表を示す。
図18(A)から(D)に、人間の幸福感または抑うつ傾向は身体運動の持続時間に表れることを確認した、発明者らの知見について説明する図を示す。
図18に示した知見に基づいて発明した、心理状態を計測する端末(TR)の表示装置(LCDD)の画面の一例を図10に示す。本端末(TR)は、端末(TR)内で所定の時刻(たとえば午前2時)から現時点までの加速度周波数を用いて心理指標(TROD20)を算出し、表示する。画面はいくつかのボタン(BTN1~3)の押下によって状態を切り替える(LCDD3)ことが可能である。端末(TR)装着の際、常に他人から心理指標(TROD20)が見えることが望ましくない場合には、通常は別の画面1(TROD1)を表示しておき、ボタン押下後所定の時間のみ心理状態(TROD20)を表示しておくことも可能である(TROD2)。
図11・図12は、表示画面生成(ASCD)によって生成されるWebアプリケーションの表示画面(OD)の一例である。
図14は、アプリケーションサーバ(AS)の記憶部(ASME)内に保管される、ユーザ属性リスト(ASUL)の形式の例である。ユーザ属性リスト(ASUL)にはユーザ番号(ASUIT1)、ユーザ名(ASUIT2)、端末ID(ASUIT3)及びユーザの所属する部(ASUIT4)や課(ASUIT5)が相互に関連付けて記録されている。ユーザ番号(ASUIT1)は存在するユーザの通し番号を示すものである。また、ユーザ名(ASUIT2)は表示画面やコンテンツ生成時に用いるユーザ(US)の氏名もしくはニックネームの表記であり、端末ID(ASUIT3)はユーザ(US)が所有する端末(TR)の端末情報を示すものである。ユーザ(US)と端末ID(ASUIT3)は基本的に一対一で対応する。また、所属する部(ASUIT4)や課(ASUIT5)はユーザ(US)が所属する組織を情報であり、例えば、組織単位で基本コンテンツを作成する場合にはこの情報に基づき、データに含むメンバを特定する。
図15にセンサネットサーバ(SS)内センシングデータベース(SSDB)に格納されるセンシングデータの例として、加速度データテーブルの例(SSDB_ACC_1002)を示す。これは、基本的に、端末(TR)で取得されたセンシングデータそのままのものであり、下処理をされていない状態のデータである。個人ごとにテーブルが作られ、サンプリング周期(例えば0.02秒)ごとに時刻情報(DBTM)と対応付けてX軸(DBAX)、Y軸(DBAY)、Z軸(DBAZ)の三軸方向それぞれの加速度データが格納される。なお、加速度センサが検出した生の数値を格納しても良いし、単位を重力定数[G]に変換した後の値を格納しても良い。このような加速度データテーブルをメンバごとに作成し、センシングした時刻の情報と対応付けて格納する。なお、ユーザIDを示すカラムを追加すれば、テーブルを個人ごとに分けずに統合しても良い。
センシングデータベース(SSDB)には複数のメンバの複数種類のセンシングデータが記録されているが、そのうちの赤外線送受信による対面データをまとめたテーブルの例を図16の(A)(B)に示す。図16の(A)は、対面テーブル(SSDB_IR_1002)であり、端末IDが1002である端末(TR)が取得したデータを集めたテーブルであることを想定している。同様に、図16の(B)は、対面テーブル(SSDB_IR_1003)であり、端末IDが1003である端末(TR)が取得したデータを集めたテーブルとする。なお、カラムに赤外線受信側IDを加えれば、取得した端末(TR)ごとにテーブルを分けなくても良い。また、他の加速度や温度などのデータも同じテーブルに含んでも良い。
心理状態解析(ANA)(SSCDT)における加速度周波数計算(AN02)の結果をセンシングデータベース(SSDB)に時系列データとして出力してもよい。加速度周波数テーブル(SSDB_ACCTP_1min)の例を図17に示す。加速度周波数テーブル(SSDB_ACCTP_1min)は、加速度データテーブル(SSDB_ACC)を元にして、各ユーザ(US)の一定時間(たとえば1分)ごとの周波数を計算したものであり、1分ごとの時刻と、ユーザIDと対応付けてテーブルに格納したものである。なお、データを格納する形式はテーブル以外にも、CSVファイルなど別の方法でも良い。
GW 基地局
US、US2~3 ユーザ
NW ネットワーク
PAN パーソナルエリアネットワーク
SS センサネットサーバ
AS アプリケーションサーバ
CL クライアント
OS 外部データサーバ
CM 外部機器
CS 外部センサ。
Claims (12)
- 人物の心理状態を分析する心理状態分析システムであって、
前記人物の身体に装着する端末を具備し、
前記端末は、
前記身体の動きの加速度を測定する加速度センサと、
前記加速度の時系列データ、および、閾値を記憶する記憶部と、
前記時系列データに含まれるそれぞれの値が前記閾値以上の第1の状態であるか前記閾値未満の第2の状態であるかを判定する処理、前記第1の状態が連続する時間である持続時間を判別する処理、および、前記持続時間に基づいて前記人物の心理状態を数値化する処理を行う処理部と、を有することを特徴とする心理状態分析システム。 - 請求項1において、
前記処理部は、前記持続時間が所定の範囲となる複数の領域に対し、各領域に含まれる前記持続時間の出現頻度に基づいて、前記心理状態を数値化することを特徴とする心理状態分析システム。 - 請求項2において、
前記複数の領域には、前記持続時間が第1の範囲である第1の領域と、前記持続時間が第2の範囲である第2の領域が含まれ、
前記第2の範囲の上限は、前記第1の範囲の上限よりも大きいことを特徴とする心理状態分析システム。 - 請求項3において、
前記処理部は、前記第1の領域に含まれる前記持続時間の出現頻度である第1の出現頻度を含む第1の項と、前記第2の領域に含まれる前記持続時間の出現頻度である第2の出現頻度を含む第2の項の和により前記心理状態を数値化することを特徴とする心理状態分析システム。 - 請求項4において、
前記処理部は、前記第1の出現頻度と前記第2の出現頻度において、一方は負の係数、別の一方は正の係数を持つ項の和により前記心理状態を数値化することを特徴とする心理状態分析システム。 - 請求項1において、
前記端末は、
前記持続時間、前記持続時間が所定の範囲となるある領域についてその領域に含まれる前記持続時間の出現頻度、または、数値化された心理状態の値を表示する表示部をさらに有することを特徴とする心理状態分析システム。 - 請求項6において、
前記処理部は、
前記領域には、前記持続時間が第1の範囲である第1の領域と、前記持続時間が第2の範囲である第2の領域が含まれ、
前記第1の領域に含まれる前記持続時間の出現頻度である第1の出現頻度を含む第1の項と、前記第2の領域に含まれる前記持続時間の出現頻度である第2の出現頻度を含む第2の項の和により前記心理状態を数値化し、
前記表示部は、前記第1の出現頻度および前記第2の出現頻度を表示することを特徴とする心理状態分析システム。 - 請求項7において、
前記第2の範囲の上限は、前記第1の範囲の上限よりも大きいことを特徴とする心理状態分析システム。 - 請求項1において、
前記心理状態計測システムは、
前記人物が存在する環境に関するセンサ情報を測定する外部センサと、
前記センサ情報を変化させる機能を有する外部機器と、
アプリケーションサーバと、をさらに具備し、
前記アプリケーションサーバは、
前記数値化した心理状態と、前記センサ情報との相関を分析する処理と、
前記相関の分析結果に基づいて、前記心理状態の値を増加させるように前記センサ情報を変化させる制御を前記外部機器に行わせる処理と、を行うことを特徴とする心理状態計測システム。 - 人物の心理状態を分析する心理状態分析システムであって、
前記人物の身体に装着する端末を具備し、
前記端末は、
前記身体の動きの加速度を測定する加速度センサと、
前記加速度の時系列データに基づいて、第1の時間帯における前記人物の心理状態を示す指標である第1の心理指標および第2の時間帯における前記人物の心理状態を示す指標である第2の心理指標を算出する処理部と、を有し、
前記処理部は、前記第1および前記第2の心理指標、ならびに、前記人物の振る舞いまたは前記人物が存在する環境に関するセンサ情報の前記第1の時間帯における第1の値、および、前記センサ情報の前記第2の時間帯における第2の値に基づいて、前記センサ情報が前記人物の心理状態に与える影響を数値化することを特徴とする心理状態分析システム。 - 請求項10において、
前記心理状態分析システムは、前記影響を数値化した結果を表示する表示部をさらに具備することを特徴とする心理状態分析システム。 - 請求項10において、
前記心理状態分析システムは、前記人物が存在する環境に関するセンサ情報を測定する外部センサをさらに有し、
前記センサ情報とは、前記外部センサによって測定される情報であることを特徴とする心理状態分析システム。
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JP2018138155A (ja) * | 2017-02-24 | 2018-09-06 | 沖電気工業株式会社 | 感情推定サーバ装置、感情推定方法、提示装置及び感情推定システム |
JP2020018675A (ja) * | 2018-08-02 | 2020-02-06 | スターライト工業株式会社 | 表示システム |
JP7390783B2 (ja) | 2018-08-02 | 2023-12-04 | スターライト工業株式会社 | 表示システム |
JP2021076916A (ja) * | 2019-11-05 | 2021-05-20 | 株式会社日立製作所 | 心理状態計測システム及び心理状態計測方法 |
JP7401264B2 (ja) | 2019-11-05 | 2023-12-19 | 株式会社ハピネスプラネット | 心理状態計測システム及び心理状態計測方法 |
WO2022102060A1 (ja) * | 2020-11-12 | 2022-05-19 | 日本電信電話株式会社 | 学習装置、心理状態系列予測装置、学習方法、心理状態系列予測方法、及びプログラム |
JP7435821B2 (ja) | 2020-11-12 | 2024-02-21 | 日本電信電話株式会社 | 学習装置、心理状態系列予測装置、学習方法、心理状態系列予測方法、及びプログラム |
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EP3574832A1 (en) | 2019-12-04 |
EP3254619A1 (en) | 2017-12-13 |
US20220000405A1 (en) | 2022-01-06 |
US11172854B2 (en) | 2021-11-16 |
EP3574832B1 (en) | 2021-01-06 |
JP6423017B2 (ja) | 2018-11-14 |
EP3254619B1 (en) | 2019-08-28 |
EP3254619A4 (en) | 2018-08-01 |
US20170319125A1 (en) | 2017-11-09 |
JPWO2016125260A1 (ja) | 2017-08-03 |
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