JPWO2018016459A1 - Mind-body state measuring device, mind-body state measuring method, mind-body state measuring program and storage medium - Google Patents

Abstract

To obtain a status value related to the physical condition of the measurement subject without putting the measurement subject in a resting state for measurement. The mind-body state measurement device (1000) includes a state determination unit (20) and a state value calculation unit (30). The situation determination unit (20) determines, for each first predetermined time period, whether or not the situation corresponds to the specific resting situation, based on the sensor information on the person to be measured. A specific resting situation is either a resting situation or a semi-rest situation. The resting state is a state in which the mind and body of the person being measured is at rest, and the quasi-rest state is a state in accordance with the resting state. The state value calculation unit (30) calculates a state value related to the physical condition of the person to be measured based on the sensor information corresponding to the time determined by the condition determination unit (20) to be the specific resting condition among the sensor information. Calculate and output.

Description

  The present invention relates to a mind-body state measuring device etc., for example, relates to a mind-body state measuring device etc. that outputs a state value related to the physical state of a person to be measured, such as chronic stress value.

  Patent Document 1 discloses the technology of the determination processing system of the degree of fatigue. In this technique, the LF / HF value is calculated from the LF (Low Frequency) value of the measurement subject and the HF (High Frequency) value of the measurement subject. Then, based on the result of comparing the calculated value of the LF / HF value with the reference value of the LF / HF value, the objective fatigue degree of the person to be measured is determined.

  The LF value is the working value of the sympathetic subject of the measurement subject, and is a periodic activity represented by the periodic activity of the brainstem (0.04 to 0.15 Hz, about 10 seconds cycle) synchronized with the fluctuation of the blood pressure. A value related to an activity. The HF value is the working value of the parasympathetic nerve of the subject and is related to the periodic activity represented by the periodic activity of the brainstem synchronized with the respiration (0.15 to 0.4 Hz, about 4 seconds period) Say The LF value and the HF value of the measurement subject are calculated by frequency analysis from biological information of the measurement subject, in particular, an electrocardiogram and a pulse wave.

  Further, techniques related to the present invention are also disclosed in Patent Documents 2 to 8 and Non-Patent Documents 1 to 5.

Patent No. 5491749 gazette JP 2008-234009 A Unexamined-Japanese-Patent No. 2003-204942 Patent 4341984 JP, 2014-198200, A JP 2007-283041 A Japanese Patent Laid-Open No. 9-22314 JP, 2014-200389, A

Masaki Ono, Mihoko Wada, Kaori Matsui "Evaluation of stress tolerance of female university students by salivary stress markers", "Bulletin of Faculty of Developmental Education, Kyoto Women's University", pp. 69-76, published on February 10, 2014 Y. Oda, M. Nakamura, Z. Takuta, T. Koizumi, T. Abe "Study on preparation of standard values of saliva and urine cortisol in workers and their usefulness-Using high performance liquid chromatography", "Human Engineering, Vol. 36, No. 56, pp. 287 to 297, published on March 12, 2010 "Method to select" high stressed person "based on numerical standard (explanation of stress check system implementation manual), [online], Ministry of Health, Labor and Welfare, [search on July 8, 2016], Internet <URL: http: / / www.mhlw.go.jp/bunya/roudoukijun/anzeneisei 12 / pdf / 150803-1.pdf /> Nao Matsuo, Shoji Hayakawa, Shoji Harada, "Stress condition detection from speech", Magazine FUJITSU 2014 July issue (65 volume 4 issue) 46 to 52 pages, July 2014 issue Masayuki Nakano, Masaki Yamaguchi "Evaluation of stress by salivary amylase", supervised by Koji Mibayashi "Smart Human Sensing-Sensor, Information and Energy Technology for Healthy Big Data Era", CMC Publishing, pp. 68-76, March 27, 2014 publication

However, in the invention described in Patent Document 1, the biological information of the person to be measured is taken after the person to be measured is in a resting state every time the state value regarding the physical condition of the person to be measured is calculated, such as LF value and HF value. It was necessary to measure.

  For this reason, when it is desired to see the continuous change in the objective fatigue of the measurement subject over a long period of time (for example, one month or more), the measurement subject is rested each time the LF value and the HF value are calculated. Is expensive for the person to be measured and the person to be measured.

  The present invention has been made in view of such circumstances, and an object of the present invention is to obtain a state value related to the physical condition of a measurement subject without putting the measurement subject in a resting state for measurement. It is in providing the mind-body condition measuring apparatus etc. which can be done.

  The mind-body state measurement device of the present invention is based on the sensor information on the person to be measured, in a resting state in which the mind and body of the person to be measured rest, or in a semi-rest state in which the state conforms to the resting state. It corresponds to the time judged to be the specific resting condition by the condition judging means among the sensor information, the condition judging means which judges whether or not it corresponds to a specific resting condition every first predetermined time And a state value calculating unit that calculates and outputs a state value related to the physical condition of the person to be measured based on the sensor information.

  The mind-body state measurement method of the present invention is based on sensor information on the person to be measured, in a resting state in which the mind and body of the person to be measured rests or in a semi-rest state in which the state conforms to the resting state. It corresponds to the time judged to be the specific resting situation by the situation judging means among the sensor information, the situation judging step of judging whether or not it corresponds to a specific resting situation every first predetermined time And a state value calculating step of calculating and outputting a state value related to the physical condition of the person to be measured based on the sensor information to be measured.

  The storage medium according to the present invention is specified based on sensor information on the subject of measurement, which is either a resting state in which the mind and body of the subject is resting or a semi-rest state in which the subject conforms to the resting state. It is determined at each first predetermined time whether or not it corresponds to a resting state, and the person to be measured is based on sensor information corresponding to the time determined to be the specific resting state among the sensor information. And storing a mind-body state measurement program that causes a computer to perform processing of calculating and outputting a state value related to the physical state of the subject.

  According to the mind-body state measurement apparatus and the like according to the present invention, it is possible to obtain the state value regarding the physical condition of the measurement subject without setting the measurement subject in the resting state for measurement.

It is a figure which shows the structure of the mind-body state measurement apparatus in the 1st Embodiment of this invention. It is a figure which shows the information content regarding the sensor utilized with the mind-body state measurement apparatus in the 1st Embodiment of this invention. It is a figure which shows the information content regarding the sensor utilized with the mind-body state measurement apparatus in the 1st Embodiment of this invention. It is a figure which shows the information content regarding the sensor utilized with the mind-body state measurement apparatus in the 1st Embodiment of this invention. It is a figure which shows the operation | movement flow of the mind-body state measurement apparatus in the 1st Embodiment of this invention. It is a figure for demonstrating the specific example of the mind-body state measuring apparatus in the 1st Embodiment of this invention. It is a figure for demonstrating the specific example of the mind-body state measuring apparatus in the 1st Embodiment of this invention. It is a figure which shows the structure of the mind-body state measuring apparatus in the 2nd Embodiment of this invention. It is a figure which shows the operation | movement flow of the mind-body state measurement apparatus in the 2nd Embodiment of this invention. It is a figure showing an example of the information processor which realizes the physical-and-psychic condition measuring device etc. in the 1st and 2nd embodiment of the present invention.

First Embodiment
The configuration of the mind-body state measurement apparatus 1000 according to the first embodiment of the present invention will be described. FIG. 1 is a diagram showing the configuration of a mind-body state measurement apparatus 1000. As shown in FIG. FIGS. 2 to 4 are diagrams showing information contents on the sensor 10 used in the mind-body state measurement apparatus 1000. FIG.

  As shown in FIG. 1, the mind-body state measurement apparatus 1000 includes a sensor 10, a state determination unit 20, a state value calculation unit 30, a storage selection unit 40, and a notification unit 50.

  As shown in FIG. 1, the sensor 10 is connected to the situation determination unit 20 and the state value calculation unit 30. Wireless or wired is used for this connection. The sensor 10 acquires sensor information on the person to be measured, and outputs this to the situation determination unit 20 and the state value calculation unit 30. The sensor information on the person to be measured includes, for example, a face image, the moving speed of the person to be measured, the volume around the desk of the company, and the volume around the keyboard or mouse of the desk of the company.

  The sensor 10 is, for example, a camera, a microphone, an acceleration sensor, a pressure sensor, a wearable sensor, or an electroencephalograph, as illustrated in FIGS. 2 to 4. At least one sensor 10 may be provided for the determination by the condition determination unit 20 and at least one for the condition value calculation by the condition value calculation unit 30. The sensors 10 used in the situation determination unit 20 and the state calculation unit 30 may be different sensors or the same sensor. Hereinafter, description will be given by taking a specific example.

  As shown in FIG. 2, the camera A is installed as a sensor 10 at an entrance gate of a company. The camera A calculates a face image of the person to be measured and a moving speed of the person to be measured as sensor information on the person to be measured, and outputs the calculated image to the condition determination unit 20 and the state value calculation unit 30.

  The camera B is installed as a sensor 10 at a room entrance / exit of a company. The camera B calculates the face image of the person to be measured and the moving speed of the person to be measured as sensor information on the person to be measured, and outputs these to the situation determination unit 20 and the state value calculation unit 30.

  The camera C is installed as a sensor 10 at a desk of a company. The camera C detects a face image of the person to be measured as sensor information on the person to be measured, and outputs the face image to the condition determination unit 20 and the state value calculation unit 30.

  The camera D is installed in front of a company elevator as the sensor 10. The camera D detects a face image of the person to be measured as sensor information on the person to be measured, and outputs the face image to the condition determination unit 20 and the state value calculation unit 30.

  The camera E is installed as a sensor 10 in the toilet of the company. The camera E detects a face image of the person to be measured as sensor information on the person to be measured, and outputs the face image to the condition determination unit 20 and the state value calculation unit 30.

  As shown in FIG. 3, the microphone A is installed as a sensor 10 at a desk of a company. The microphone A calculates the volume around the desk of the company as sensor information on the person to be measured, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The microphone B is installed as a sensor 10 on a keyboard or mouse of a company desk. The microphone B calculates the volume around the keyboard of the desk of the company or around the mouse as sensor information on the person to be measured, and outputs the volume to the situation determination unit 20 and the state value calculation unit 30.

  The acceleration sensor is attached to the body of the person to be measured as the sensor 10. The acceleration sensor calculates the moving acceleration of a specific part (for example, an arm) of the measurement subject's body as sensor information on the measurement subject, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The pressure sensor A is installed as a sensor 10 on a seat of a desk of a company. The pressure sensor A calculates the pressure value applied to the seat surface of the chair of the desk of the company as sensor information on the person to be measured, and outputs this to the condition determination unit 20 and the condition value calculation unit 30.

  The pressure sensor B is installed as a sensor 10 on a keyboard or a mouse of a desk of a company. The pressure sensor B calculates a pressure value applied to a keyboard or a mouse of a desk of a company as sensor information on a person to be measured, and outputs the pressure value to the situation determination unit 20 and the state value calculation unit 30.

  As shown in FIG. 4, the wearable sensor A is attached to the body of the measurement subject as the sensor 10. The wearable sensor A calculates the pulse wave, the heart rate, the cardiac potential or the like of the measurement subject as sensor information on the measurement subject, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The salivary amylase monitor is attached as a sensor 10 to the body or the like of the person to be measured. The salivary amylase monitor calculates the amount of amylase in the saliva of the person to be measured as sensor information on the person to be measured, and outputs this to the condition determination unit 20 and the state value calculation unit 30. A salivary amylase monitor is introduced, for example, in Non-Patent Document 5.

  The wearable sensor C is attached to the body of the person to be measured as the sensor 10. The wearable sensor C calculates the skin potential of the person to be measured as sensor information on the person to be measured, and outputs this to the condition determination unit 20 and the state value calculation unit 30.

  The wearable sensor D is attached to the body of the person to be measured as the sensor 10. The wearable sensor D calculates the acceleration of a specific part (for example, an arm) of the measurement subject's body as sensor information on the measurement subject, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The wearable sensor E is attached to the body of the person to be measured as the sensor 10. The wearable sensor E calculates the skin temperature of the body of the measurement subject as sensor information on the measurement subject, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The microphone C is attached to the body of the person to be measured as the sensor 10. The microphone C calculates the tone of the voice of the person to be measured and the speech speed of the person to be measured as sensor information on the person to be measured, and outputs this to the state determination unit 20 and the state value calculation unit 30.

  The electroencephalograph is attached to the head of the person to be measured as a sensor 10. The electroencephalograph calculates the brain wave (voltage value at a predetermined frequency) of the measurement subject as sensor information on the measurement subject, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  As shown in FIG. 1, the situation determination unit 20 is connected to the sensor 10 and the state value calculation unit 30. Wireless or wired is used for this connection. The situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the person to be measured is in the specific resting state, based on sensor information on the person to be measured.

  Here, the specific resting state is either a resting state or a semi-resting state. A resting situation means a situation in which the mind and body of the person being measured is at rest. More specifically, the resting state refers to a state in which the body is not moved and kept quiet, for example, a state after sitting in a chair for 10 minutes and taking a deep breath. The semi-rest situation is a situation according to the rest situation, for example, a situation that is relatively close to the rest situation among the situations that can occur during the activity of the person being measured.

  The situation determination unit 20 determines whether or not the person to be measured is in the specific resting state, as shown in FIGS. 2 to 4. The situation determination unit 20 determines, based on at least one or more pieces of sensor information, whether or not the person to be measured is in the specific resting situation every first predetermined time (for example, one minute). Hereinafter, description will be given by taking a specific example.

  As shown in FIG. 2, the situation determination unit 20 recognizes from the face image that the measurement subject has passed through the entrance gate, based on the sensor information of the camera A every first predetermined time, and If the movement speed of the person to be measured is equal to or less than a predetermined value (for example, 2 km / hour), it is determined that the person to be measured is in the specific resting state.

  The situation determination unit 20 recognizes from the face image that the measurement subject has entered the office room of the company based on the sensor information of the camera B every first predetermined time, and the movement speed of the measurement subject When it is less than a predetermined value (for example, 2 km / hour), it is determined that the person to be measured is in the specified resting state.

  The situation determination unit 20 determines that the person to be measured is seated on the desk chair of the company from the face image based on the sensor information of the camera C every first predetermined time, and a predetermined time (for example, 30 minutes) has elapsed. If it recognizes that it is determined that the person to be measured is in a specific resting state.

  When the situation determination unit 20 recognizes from the face image that the measurement subject is waiting in front of the elevator of the company based on the sensor information of the camera D every first predetermined time, the measurement subject is identified Determined to be at rest.

  When the situation determination unit 20 recognizes from the face image that the measurement subject is looking at the mirror of the toilet based on the sensor information of the camera E every first predetermined time, the measurement subject is rested specific Determine that it is a situation.

  As illustrated in FIG. 3, the situation determination unit 20 determines, based on the sensor information of the microphone A, at predetermined first time intervals, the volume value excluding the voice of the person to be measured around the desk of the company has a predetermined value ( For example, when the voice of the person to be measured is not uttered, it is determined that the person to be measured is in the specific resting state. Here, for the determination that the voice of the person to be measured is not uttered, the situation determination unit 20 detects the voice section by a general voice section detection technique. In addition, when the sound volume value of the section is less than a predetermined value (for example, 60 dB), or when the voice section can not be detected in the voice section detection, the situation determination unit 20 utters the voice of the measurement target person It is determined that there is not.

  If the volume around the keyboard of the desk of the company or around the mouse is equal to or less than a predetermined value (for example, 50 dB) based on the sensor information of the microphone B every first predetermined time, the situation determination unit 20 measures Person is determined to be in a specific resting state.

  The situation determination unit 20 determines, for each first predetermined time, the movement acceleration of a specific part (for example, an arm) of the person to be measured based on the sensor information of the acceleration sensor at a predetermined value (for example, 3 m / s). ²)) If below, it is determined that the person to be measured is in a specified resting state.

The situation determination unit 20 determines that the pressure value applied to the seat surface of the desk chair of the company is equal to or less than a predetermined value (for example, 375 kg / m ² ) based on the sensor information of the pressure sensor A every first predetermined time. If so, it is determined that the person to be measured is in a specified resting state.

The situation determination unit 20 determines that the pressure value applied to the keyboard or mouse of the desk of the company is equal to or less than a predetermined value (for example, 1000 kg / m ² ) based on the sensor information of the pressure sensor B every first predetermined time. In this case, it is determined that the person to be measured is in a specific resting state.

  The state value calculation unit 30 is connected to the sensor 10, the situation determination unit 20, and the storage selection unit 40. Wireless or wired is used for this connection.

  The state value calculation unit 30 determines the body of the person to be measured based on sensor information corresponding to the time determined by the situation determination unit 20 as being in the stable state or the semi-stable state among the sensor information acquired by the sensor 10. A state value related to the state is calculated and output to the storage selection unit 40.

  Specifically, first, among the sensor information acquired by the sensor 10, the state value calculation unit 30 acquires sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state. That is, the situation determination unit 20 identifies the time when the measurement subject is determined to be in the specific resting situation, and acquires sensor information corresponding to this time. Then, based on the acquired sensor information, the state value calculation unit 30 calculates a state value regarding the physical condition of the person to be measured every first predetermined time, and outputs the state value to the storage and selection unit 40.

  The state value regarding the physical condition of the measurement subject is a value or the like representing the physical condition of the measurement subject, and is, for example, a chronic stress value, an acute stress value, a concentration degree or the like.

  Here, the chronic stress value is a value indicating the degree of stress accumulated chronically in the measurement subject. The chronic stress value is also called fatigue level. The acute stress value is a value indicating the degree of transient stress received by the subject. The degree of concentration is a value indicating the degree to which the person to be measured concentrates on a predetermined task.

  For example, as shown in FIG. 4, the state value calculation unit 30 calculates a state value based on sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state. However, the sensor used to calculate the state value is not limited to the sensor shown in FIG. Hereinafter, description will be given by taking a specific example.

  Based on the heart rate of the person to be measured, which is sensor information of wearable sensor A corresponding to the time (for example, 15 o'clock to 16 o'clock) determined by situation determination unit 20 that state value calculation unit 30 determines the specific resting condition. Calculate the LF / HF value. Then, the state value calculation unit 30 calculates the chronic stress value using the calculation result of the LF / HF value, and outputs the calculated value to the storage and selection unit 40. The state value calculator 30 calculates the LF / HF value from the heart rate of the measurement subject using, for example, the technology described in Patent Document 1, and calculates the chronic stress value using the calculation result of the LF / HF value. be able to. At this time, the objective fatigue degree described in Patent Document 1 is a chronic stress value.

  Also, for example, the state value calculation unit 30 may use the amylase in the saliva as sensor information of the salivary amylase monitor corresponding to the time (for example, 15 o'clock to 16 o'clock) determined by the situation determination unit 20 to be the specific resting situation. Calculate the acute stress value using the amount of Specifically, the state value calculator 30 calculates an acute stress value based on the amylase value in saliva using the technology described in Patent Document 4. At this time, the amylase value described in Patent Document 4 is taken as an acute stress value. The amylase in the saliva is secreted in association with sympathetic nerve activity (acute stress). Therefore, amylase in saliva can be used as an acute stress value as it is. The level of stress can be determined by this acute stress value. Here, for example, the following criteria can be set (see Non-Patent Document 1). "No stress" when the measured value of salivary amylase is less than 30 KU / L (kilounit per liter). "Slightly stressed" when the measured value of salivary amylase is 30 to 45 KU / L. "Stressed" when the measured value of salivary amylase is 46 to 60 KU / L. "There is considerable stress" when the measured value of salivary amylase is over 61 KU / L.

  As described above, for example, when the acute stress value is calculated using the amount of cortisol, the absolute value (pmol / ml) of cortisol is taken as the acute stress value. At this time, numerical values are provided in the same manner as in the case of salivary amylase to determine whether the stress is high or low (see Non-Patent Document 2 for specific numerical values).

  Further, for example, the state value calculation unit 30 may use mental sweating as sensor information of the wearable sensor C corresponding to a time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be in the specific resting situation. The degree of concentration is calculated using the skin potential which is one of the skin electrical activities which is an index to be measured electrically. In general, higher concentration results in increased mental sweating and lower skin electrical resistance. For example, a threshold is provided, and when the skin electrical resistance value falls below, it is determined that the degree of concentration is high.

  Also, for example, the state value calculation unit 30 may use the sensor information of the wearable sensor D as the sensor information of the wearable sensor D corresponding to the time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be the specific resting situation. The acceleration of a specific part of the body (e.g. an arm) is used to calculate a chronic stress value or degree of concentration. The state value calculation unit 30 outputs the calculated value of the chronic stress value or the degree of concentration to the storage and selection unit 40.

  The state value calculation unit 30 calculates a chronic stress value based on the value of the acceleration of a specific part (for example, an arm) of the person to be measured. Specifically, the state value calculation unit 30 calculates a chronic stress value from the acceleration and the total value of the amount of activity at the time determined to be in the specific resting state or the slowness of the movement. Here, the total value of the values of the accelerometer is used as the total value of the amount of activity of the time determined to be in the specific resting state. Also, the average value of the instantaneous acceleration is used for the slowness of movement. These values are compared with the immediately preceding measurement values, and it is determined that chronic stress has increased if the values tend to decrease. The chronic stress value is calculated based on a pre-decided standard based on the rate of decrease with respect to the immediately preceding measured value. For example, if the reduction rate to the previous measurement value is 10%, the chronic stress value is 10. If the rate of decline from the previous measurement is 20%, then the chronic stress value is 20.

  Further, the state value calculation unit 30 calculates the degree of concentration from the amount of activity of the measurement subject calculated based on the acceleration (the measurement value of the accelerometer) of a specific part (for example, arm) of the measurement subject's body. . As the amount of activity, the total value of the amount of activity for a specific period of time determined to be in the specific resting state may be used, or an instantaneous value may be used. At this time, for example, since the measurement value of the accelerometer of the arm is a numerical value reflecting the movement of the arm, it is often in proportion to the amount of work of the worker when working. Since the amount of work corresponds to the degree of concentration on work, a plurality of threshold values are provided for the amount of activity, the degree of concentration is defined in advance for the threshold value, and the degree of concentration corresponding to the threshold value is determined. The state value calculator 30 outputs the degree of concentration corresponding to the amount of activity.

  Also, for example, the state value calculation unit 30 may use the sensor information of the wearable sensor E as the sensor information of the wearable sensor E corresponding to the time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be the specific resting situation. Body temperature (skin temperature) is used to calculate the degree of concentration. When concentrating on work with a large load, temperature rise is observed, and therefore, when the body temperature exceeds a threshold, it is determined that the degree of concentration is high. In addition, when a temperature higher than a certain temperature (such as the normal heat of human body temperature) continues, for example, when the normal heat is 36 degrees, when about 37.5 degrees continue, there are many cases of body malfunction. As described above, when hyperthermia continues for a certain period of time, it is determined that the degree of concentration is reduced. The state value calculator 30 calculates the duration of the temperature rise or the high temperature as the concentration degree.

  Also, for example, the state value calculation unit 30 may use the voice of the person to be measured as sensor information of the microphone C corresponding to the time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be the specific resting situation. The chronic stress value is calculated using the tone and the speaking speed of the person to be measured (see Non-Patent Document 4). Here, the chronic stress value is estimated by using the variance of the pitch indicating the distribution of the basic height of the voice and the variance of the level indicating the distribution of the voice strength as the feature quantity. If both the pitch variance and the level variance are small, then the chronic stress value is considered high.

  For example, the state value calculation unit 30 may use an electroencephalogram (voltage at a predetermined frequency) as sensor information of an electroencephalograph corresponding to a time (for example, 15:00 to The acute stress value, the chronic stress value, and the degree of concentration are calculated using the value (see Patent Document 7). As a method of calculating the degree of concentration from the electroencephalogram, it is known that when the power of an alpha wave (an electroencephalogram with a frequency of 8 to 13 Hz) is increased, the degree of concentration for work is decreased. In addition, it is known that the degree of concentration increases when the power of an FM (Frequency Modulation) θ wave (an electroencephalogram with a frequency of 4 to 7 Hz that is calculated from a position slightly ahead of the apex) increases. As a method of calculating an acute stress from an electroencephalogram, for example, increase or decrease of the power of an electroencephalogram having a frequency of 8 to 13 Hz (α wave), increase or decrease of a power of an electroencephalogram having a frequency of 4 to 7 Hz, 13 to 20 Hz (β wave The stress level is calculated by the increase or decrease of the power of the electroencephalogram. Also, the ratio of the alpha wave to the beta wave may be used as the acute stress value. For example, it is said that the alpha wave dominates when relaxing and the beta wave dominates in tension. For this reason, a threshold may be provided using the value of the alpha wave / beta wave as the acute stress value, and it may be determined that the acute stress is increasing when the value is less than the threshold. As a method of calculating a chronic stress value from an electroencephalogram, for example, an integrated value per unit time of an acute stress value is set as a chronic stress value.

  As shown in FIG. 1, the storage selection unit 40 is connected to the state value calculation unit 30 and the notification unit 50. Wireless or wired is used for this connection. The storage and selection unit 40 stores and selects the state value and the like calculated by the state value calculation unit 30.

  As shown in FIG. 1, the notification unit 50 is connected to the storage selection unit 40. Wireless or wired is used for this connection. The notification unit 50 notifies the propriety of the state value based on the state value output by the storage selection unit 40. Specifically, the storage selection unit 40 selects the state value based on the state value output by the state value calculation unit 30 and the threshold value set in advance for each state value. Based on the state value output by the storage selection unit 40, the notification unit 50 notifies the appropriateness of the state value. For example, when the state value output by the storage selection unit 40 is larger than the threshold, the notification unit 50 outputs a warning sound or a warning display as the suitability of the state value. The notification unit 50 includes, for example, a display unit that displays information on a screen, and a speaker unit that outputs information by voice.

  The configuration of the mind-body state measurement device 1000 has been described above.

  Next, the operation of the mind-body state measurement apparatus 1000 will be described. FIG. 5 is a diagram showing an operation flow of the mind-body state measurement apparatus 1000.

  As shown in FIG. 5, each sensor 10 acquires sensor information (see FIGS. 2 to 4) regarding a measurement target person (Step (hereinafter, simply referred to as S) 101). In addition, each sensor 10 outputs the acquired sensor information to the state determination unit 20 and the state value calculation unit 30.

  Next, the situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the person to be measured is in the specific resting situation, based on the sensor information input by each sensor 10 S102).

  When it is determined by the situation determination unit 20 that the measurement target person is in the specific resting situation (S102, Yes), the time when the situation determination unit 20 is determined to be the specific resting situation (for example, from 16:05 to 16:00) 8) is output to the state value calculator 30. Then, the state value calculation unit 30 calculates a state value related to the physical condition of the person to be measured (S103). Specifically, of the sensor information acquired by the sensor 10, the state value calculation unit 30 determines the time during which the situation determination unit 20 determines that the user is in the specific resting state (for example, 16: 5 to 16: 8). The state value is calculated based on the sensor information corresponding to. Then, the state value calculating unit 30 outputs the calculation result of the state value to the storage selecting unit 40.

  On the other hand, when the situation determination unit 20 does not determine that the measurement target person is in the specific resting state (S102, No), the mind-body state measurement apparatus 1000 repeats the processes after S101.

  Next, the save and select unit 40 saves the state value output by the state value calculator 30 (S104).

  The storage selection unit 40 determines whether the state value output by the state value calculation unit 30 is larger than a threshold (S105). Further, the state value stored in the storage selection unit 40 is compared with the state value output by the state value calculation unit 30 to determine whether it is the lowest value or not, and the state value of the lowest value is selected.

  When the storage value selection unit 40 determines that the state value output by the state value calculation unit 30 is larger than the threshold (S105, Yes), the notification unit 50 sets an alarm sound or a warning display as appropriate for the state value. It outputs (S106). Thereby, it can be informed that the physical condition of the person to be measured is not good.

  On the other hand, when it is not determined that the state value output by the storage selection unit 40 is larger than the threshold (S105, No), the notification unit 50 does nothing, and the process ends.

  Thus, the processing of the mind-body state measurement apparatus 1000 ends.

  Hereinafter, selection examples of the sensor 10 will be exemplified in Example 1 and Example 2. A method of correcting the state value will be described in Example 3, and a selection example of the state value when plural types of specific resting situations are detected will be described in Examples 4 and 5.

<Example 1>
In Example 1, the sensor 10 used to determine whether the situation determination unit 20 falls under the specific resting situation and the sensor 10 used to calculate the state value by the state value calculation unit 30 are common. The case is illustrated.

  The situation determination unit 20 recognizes from the face image that the measurement subject has passed through the entrance gate based on the sensor information of the camera A every first predetermined time, and the moving speed of the measurement subject is If it is less than a predetermined value (for example, 2 km / hour), it is determined that the person to be measured is in the specified resting state.

  In addition, the state value calculation unit 30 calculates a pulse wave and a heart rate from the face image of the person to be measured based on the sensor information of the camera A, for example, using the techniques described in Patent Document 5 and Patent Document 8. Further, the state value calculation unit 30 calculates the LF / HF value from the heart rate. Here, first, the state value calculator 30 acquires pulse wave data from the face image as sensor information of the camera A. Next, the state value calculator 30 calculates the RR interval (time between peaks of cardiac potentials) based on the pulse wave data. Next, the state value calculator 30 calculates the heart rate fluctuation based on the RR interval. For example, the state value calculation unit 30 analyzes the frequency (data) of data (waveform) of about 300 seconds of the RR interval, and analyzes the ratio of the frequency of the waveform (power spectral density (PSD)). Then, among the obtained frequencies, the state value calculator 30 sets the low frequency component as LF, the high frequency component as HF, and obtains an LF / HF value that is the ratio thereof. LF and HF are generally calculated from frequency bands of LF (0.04 to 0.15 Hz, about 10 seconds period) and HF (0.15 to 0.4 Hz, about 4 seconds period). Then, the state value calculation unit 30 calculates the LF / HF value as a chronic stress value using, for example, the technology described in Patent Document 1.

  Here, the storage selection unit 40 stores the time when the specific resting state is reached (corresponding to the time when the measurement subject passes the entrance gate), the chronic stress value, and the absolute time.

  In Example 1, a chronic stress value can be obtained as a state value related to the physical condition of the measurement subject without putting the measurement subject in a resting state for measurement and without putting a burden on the measurement subject.

In addition, in order to specify a measurement target person, an individual may be specified from a face image database stored in advance using an existing face authentication technology, and the method is not limited to this method as long as the individual can be specified.

<Example 2>
In Example 2, the sensor 10 used when determining whether the situation determination unit 20 falls under the specific resting situation and the sensor 10 used when calculating the state value by the state value calculation unit 30 are different. For example,

  The situation determination unit 20 recognizes from the face image that the measurement subject has passed through the entrance gate based on the sensor information of the camera A every first predetermined time, and the moving speed of the measurement subject is If it is less than a predetermined value (for example, 2 km / hour), it is determined that the person to be measured is in the specified resting state.

  Further, the state value calculator 30 sets the reciprocal of the heart rate to the RR interval based on the heart rate of the measurement target person, which is sensor information of the wearable sensor A, using the technology described in Patent Document 1, for example. The HF value is calculated, and the chronic stress value is calculated using the calculation result of the LF / HF value.

  Here, the storage selection unit 40 stores the time when the specific resting state is reached (corresponding to the time when the measurement subject passes the entrance gate), the chronic stress value, and the absolute time.

  In Example 2, a chronic stress value can be obtained as a state value related to the physical condition of the measurement subject without putting the measurement subject in a resting state for measurement and without putting a burden on the measurement subject. In addition, the sensor 10 used to determine whether the situation determination unit 20 falls under the specific resting situation and the sensor 10 used to calculate the state value by the state value calculation unit 30 are different sensors, A sensor suitable for specific resting state determination and a sensor suitable for calculating a state value related to the physical condition of the measurement subject can be used. Therefore, according to Example 1, it is possible to accurately determine the specific resting state and calculate the state value of the physical and mental state of the person to be measured.

  For identification of the person to be measured, an individual may be identified from the face image database stored in advance using existing face authentication technology, or when using an ID (identification) card at the entrance gate or when entering or leaving the room May identify the individual from the information of the ID card obtained by the card reader. Thus, an individual may be identified by combining the present invention and the personally identifiable information obtained from another.

<Example 3>
Example 3 exemplifies a case where a chronic stress value is corrected with highly reliable information. In Example 3, it is premised to apply the technical content illustrated in Example 1 or Example 2. Here, “the method of selecting“ high stressed person ”based on the numerical standard (explanation of the stress check system implementation manual)” (see Non-Patent Document 3) every time it is judged 10 times as a specific resting situation. The chronic stress value calculated in Example 1 or Example 2 is corrected by the storage and selection unit 40 using the result obtained in the “stress check of the Ministry of Health, Labor and Welfare”. Here, in the data obtained by the stress check in Non-Patent Document 3, there are a score for an item concerning the cause of stress in mind and body, an item concerning stress reaction in mind and body, and an item concerning support around. For example, let these values be chronic stress values. The chronic stress value calculated according to the present invention is separated from the threshold value by comparing the items related to the stress factor of the mind and body, the items related to the stress response of the mind and body, and the items related to the surrounding support with the chronic stress value of the present invention. If so, the storage selection unit 40 does not refer to the chronic stress value in the specific resting situation at that time.

  In particular, it is obtained by the "stress check of the Ministry of Health, Labor and Welfare" conducted using "the method of selecting" high stressed persons "based on numerical standards (explanation of the stress check system implementation manual)" (see non-patent document 3). In addition to the above results, it is desirable to use the test results of blood collected at regular health check etc. for correction of chronic stress value. The Ministry of Health, Labor and Welfare's stress check carried out using “Method for selecting“ high stressed people ”based on numerical standards (explanation of stress check system implementation manual)” is obligated under the Occupational Safety and Health Law. , Regular health check is also required. The Ministry of Health, Labor and Welfare's stress check can ensure a certain degree of accuracy because the person to be measured directly responds. In addition, blood tests accurately reflect the information of the body and become more accurate information. Therefore, the accuracy of the chronic stress value can be further improved by using both the "Mtress's stress check" and the test results of blood collected in the regular health check etc. for correction of the chronic stress value in the storage and selection unit 40. . In addition, when it is not possible to acquire both the "stress check of the Ministry of Health, Labor and Welfare" and the test result of blood collected by regular health check etc., either the test result of blood collected by "stress check of Ministry of Health, Labor and Labor" or regular health check etc. Chronic stress values can also be corrected using only one.

  In Example 1 or Example 2, the person to be measured can obtain sensor information unconsciously, and the burden on the person to be measured can be reduced. On the other hand, in Example 3, it is necessary for the person to be measured to be conscious of the stress check. However, the final value of the chronic stress value becomes a more accurate value because the result of the stress check performed by the subject of measurement can be reflected as a correction value on the chronic stress value measured in Example 1 or 2. That is, in Example 3, the change of the chronic stress value with higher accuracy can be continuously observed by using the content on which the person to be measured consciously performed the stress check as the correction value. Not only the stress check but also the questionnaire response of the person to be measured may be used instead.

  In particular, in the case of a blood test, chronic stress values in the body of the subject can be calculated with high accuracy. For example, for blood collection, take advantage of opportunities such as regular health check once a half year. A chronic stress value obtained from cortisol or the like in blood is used as a highly reliable correction value. As a result, it is possible to perform correction that more accurately reflects the physical condition of the subject of measurement with respect to the chronic stress value in the daily specific resting situation.

<Example 4>
In the fourth example, there will be described a case where there are a plurality of specific resting situations determined by the situation determination unit 20, and a plurality of chronic stress values are calculated in a time (for example, 1 day) where the chronic stress value does not change. .

  FIG. 6 is a view for explaining a specific example of the mind-body state measurement apparatus 1000, and shows information stored in the storage selection unit 40. As shown in FIG. In addition, in FIG. 6, "the conditions of a specific resting condition" are abbreviate | omitting a part in relation to paper space. The actual “condition of specific resting condition” corresponds to the “condition of specific resting condition” in FIGS.

  Here, as shown in FIG. 6, the situation determination unit 20 responds to each of the first predetermined time based on the sensor information of each of the camera A, the camera B, and the camera C for the measurement target person M It is determined that the specified resting condition A, the specified resting condition B, and the specified resting condition C correspond to the specified date and time.

  That is, the situation determination unit 20 determines whether or not the person to be measured is in the specific resting state every first predetermined time, and classifies the sensor information determined as the specific resting state according to the type of the specific resting state. .

  In addition, among the sensor information classified according to the type of the specific resting condition, the state value calculating unit 30 is a measurement target based on the sensor information corresponding to the time determined by the situation determining unit 20 to be the specific resting condition. Calculate and output a state value (for example, a chronic stress value) related to the physical condition of the person.

  As shown in FIG. 6, each of the specified resting state A, the specified resting state B, and the specified resting state C is detected seven times, once and twice by the state determination unit 20. In addition, as shown in FIG. 6, the chronic stress value is calculated by the state value calculation unit 30 for each type of the specified resting state (specified resting state A, specified resting state B and specified resting state C). . Further, as shown in FIG. 6, the absolute time is also stored in the storage selection unit 40.

  At this time, the storage selection unit 40 determines, among the specific resting situations A to C, the specific resting situation to be continuously evaluated. Output only chronic stress values in specific resting situations that are determined to be continuously evaluated.

As shown in FIG. 6, in the case of Mr. M, the specific resting state A in the data measured during the measurement period (for example, 1 day of May 23 when May 23 is selected) Chronic stress value is the lowest with 10 (2016/5/23 08: 01 minutes). Here, since the stress value measured in the quasi-rest condition such as the specified rest condition A is the total stress value of the above-mentioned chronic stress value and the instantaneous acute stress value, the state value calculation unit 30 Calculate only chronic stress values. The minimum value of the value measured at such a time that the chronic stress does not change (at least about 1 day) is a value that accurately reflects the chronic stress value of the subject. In the case of observing continuous changes in chronic stress values for a somewhat long period (for example, monthly or more), one or more values may be measured for a time (for example, one day) where chronic stress does not change. Therefore, the storage selection unit 40 selects the minimum value of the values measured in a time (for example, one day) in which the chronic stress does not change by selecting the chronic stress value on the day.
Further, not only the minimum value but also the lower 10% chronic stress value among the measured state values may be taken as the chronic stress value on the day. The lowest value and the lower 10% are considered to be values measured near rest in one day. Therefore, when the continuous evaluation is performed, the chronic stress value can be calculated more accurately by continuously evaluating the specific resting situation including the lowest value and the lower 10% of the chronic stress value. The storage selection unit 40 selects the specific resting situation A including the lowest value of the chronic stress value as a target of the continuous evaluation.

For example, when M passes through the entrance gate, it will be close to the resting condition even in the specific resting condition, but when entering or exiting the room, it is assumed that it is close to the semi-rest condition even in the specified resting condition. In this case, when passing through the entrance gate, the chronic stress value is lower than when entering or leaving the room. As described above, even when a plurality of chronic stress values are calculated, if the activity status is different, it is possible to calculate a chronic stress value that is accurate for the person to be measured by evaluating a lower chronic stress value. Become.
In addition, since the activity differs depending on the person to be measured, the specific resting situation to be continuously measured is also different. By configuring as in this example 4, it is possible to enable more accurate and stable measurement. In addition, specific resting conditions to be evaluated can be individually changed or set for each person.

<Example 5>
In the fifth example, although there are multiple types of specific resting situations determined by the situation determination unit 20, the same specific resting situation does not continuously occur in the measurement target person in a period longer than a period in which chronic stress does not change. ,explain.

  FIG. 7 is a view for explaining a specific example of the mind-body state measurement apparatus 1000, and shows information stored in the storage selection unit 40. As shown in FIG. In addition, in FIG. 7, "the conditions of a specific resting condition" are abbreviate | omitting a part in relation to paper space. The actual “condition of specific resting condition” corresponds to the “condition of specific resting condition” in FIGS.

  Here, as shown in FIG. 7, the situation determination unit 20 responds to each of the first predetermined time based on the sensor information of each of the camera A, the camera B, and the camera C for the measurement target person N It is determined that the specified resting condition A, the specified resting condition B, and the specified resting condition C correspond to the specified date and time.

  That is, the situation determination unit 20 determines whether or not the person to be measured is in the specific resting state every first predetermined time, and classifies the sensor information determined as the specific resting state according to the type of the specific resting state. .

  In addition, among the sensor information classified according to the type of the specific resting condition, the state value calculating unit 30 is a measurement target based on the sensor information corresponding to the time determined by the situation determining unit 20 to be the specific resting condition. Calculate and output a state value (for example, a chronic stress value) related to the physical condition of the person.

  As shown in FIG. 7, each of the specified resting state A, the specified resting state B, and the specified resting state C is detected three times, three times, and three times by the state determination unit 20. Further, as shown in FIG. 7, the chronic stress value is calculated by the state value calculation unit 30 for each type of the specific resting state (specific resting state A, specific resting state B and specific resting state C). . Further, as shown in FIG. 7, the absolute time is also stored in the storage selection unit 40.

  Here, in the example 5, a case where the same specific resting state does not continue for a fixed period will be described. Specifically, it is an example in which the same specified resting situation does not continuously occur in the measurement subject in a period (for example, three days) longer than a time (for example, about one day) where chronic stress does not change. That is, as shown in FIG. 7, in the period of 2016/3/23 08: 01-2016/5/27 09: 41, the specified resting state A is 3 times, and the specified resting state B is 3 times, the specified resting state Although C occurs three times, the same specific resting situation does not occur within three days after each specific resting situation occurs. The specific resting situation A occurs at 2016/3/23 08:01 as the first time, 2016/4/15 08:03 as the second time, and 2016/4/23 11:40 as the third time. The specific resting state A does not continuously occur within three days because each of the first and second times and between the second and third times is vacant for 3 days or more. The specific resting situation B occurs at 2016/4/8 08:28 as the first time, 2016/5/12 13:28 as the second time, and 2016/5/17 15:50 as the third time. The specific resting condition B does not occur continuously within three days, because between the first and second times and between the second and third times are vacant for three or more days. The specific resting situation C occurs at 2016/4/11 08:30 as the first time, 2016/4/30 08:29 as the second time, and 2016/5/27 09:41 as the third time. The specific resting state C does not continuously occur within three days because each of the first and second times and between the second and third times is vacant for 3 days or more. In this case, the storage selection unit 40 determines, among the specific resting situations A to C, the specific resting situation to be continuously evaluated as follows.

  As shown in FIG. 7, in the case of the measurement target person N, in the data measured during the measurement period (for example, from March 23 to May 27), the chronic stress value of the specific resting situation A is 8 and The lowest (2016/4/15 08: 03 minutes).

  Therefore, in addition to the specified resting state A including the minimum value of the chronic stress value, the storage selection unit 40 also determines the specified resting state in which the chronic stress value is close to the chronic stress value of the specified resting state A as a target for continuous evaluation. Do.

Here, whether or not the chronic stress value is close to the chronic stress value of the specific resting state A is determined by the storage and selection unit 40. That is, when the chronic stress value of the specific resting condition to be determined is included in the predetermined range on the basis of the chronic stress value of the specific resting condition A, the storage selecting unit 40 sets the specific resting condition to be determined to the specific resting condition. Judge as close. Specifically, for example, in addition to the specific resting state A, the storage selecting unit 40 determines the specific resting state to be subjected to the continuous evaluation, as follows. First, the save and select unit 40 calculates an average value of each specific resting state. In the example of FIG. 7, the average values of the chronic stress values of the specific resting situations A, B, and C are about 11.3, 11, and about 15.6, respectively. Here, it is assumed that the predetermined range is ± 3.
In this case, when the chronic stress value of the specific resting condition to be determined is included in the range of “(chronic stress value of specific resting condition A) ± 3”, the storage selecting unit 40 determines the specific resting condition to be determined. Determined to be close to a specific resting situation. In the example of FIG. 7, the difference between the average values of chronic stress values between the specific resting state A and the specific resting state B is about 0.3, and “(chronic stress value of specific resting state A) ± 3” It is in the range. On the other hand, the difference between the average values of the chronic stress values between the specific resting state A and the specific resting state C is about 4.3, which is outside the range of “(chronic stress value of specific resting state A) ± 3”. . Therefore, the storage selection unit 40 determines the specific resting state B as the specific resting state to be subjected to the continuous evaluation in addition to the specific resting state A.

  In addition, when there is information such as the stress check and blood test results shown in Example 3, the specific rest situation where the numerical value closest to the stress check and blood test results is continuously obtained should be evaluated. It may be determined as a resting situation.

  According to this example 5, the following effects can be claimed. For example, it is assumed that when the user M shown in Example 4 passes through the entrance gate, the user is in a specific resting state, but when the person N rushes to work every day and does not enter the specific resting state. In this way, when the activity status differs depending on the person, it is not possible to evaluate chronic stress values using the type of one specific resting status uniformly. If only one specific resting condition is targeted for evaluation, it will be difficult for people who are less likely to be in the specified resting condition to continue evaluating chronic stress levels. Therefore, for example, it is also possible to evaluate Mr. N by adding a specified rest situation B (when entering or leaving a room) having a chronic stress value close to the specified rest situation A available to Mr. M, as an evaluation target. In this way, even when the activity status differs depending on the person, it is possible to continuously calculate a chronic stress value appropriate for the person to be measured.

  As described above, the mind-body state measurement apparatus 1000 according to the first embodiment of the present invention includes the situation determination unit 20 and the state value calculation unit 30. The situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the situation corresponds to the specific resting situation, based on the sensor information on the person to be measured. A specific resting situation is either a resting situation or a semi-rest situation. The resting state is a state in which the mind and body of the person being measured is at rest, and the quasi-rest state is a state in accordance with the resting state. The state value calculation unit 30 calculates and outputs a state value related to the physical condition of the person to be measured based on sensor information corresponding to the time when the condition determination unit 20 determines that the specific resting condition is in the sensor information. Do.

  As described above, the situation determination unit 20 determines, for each first predetermined time period, whether or not the situation corresponds to the specific resting situation based on the sensor information on the person to be measured. Therefore, it is possible to know at every first predetermined time whether the person to be measured is in the specific resting state or not. That is, it is possible to know the time when the person to be measured was in the specified resting state, without having to put the person to be measured in the specified resting state. Further, the state value calculation unit 30 is a state value related to the physical condition of the person to be measured (for example, based on the sensor information corresponding to the time determined to be the specific resting condition by the condition determination unit 20). Calculate and output chronic stress value). Therefore, the state value based on the sensor information can be acquired only for the time when the person to be measured is in the specific resting state.

  Therefore, according to the mind-body state measurement apparatus 1000 in the first embodiment of the present invention, it is possible to obtain the state value regarding the physical condition of the measurement subject without setting the measurement subject to rest condition for measurement. . That is, without waiting for the subject to be measured to be in the resting state, even if the subject to be measured is in the semi-rest state, it is possible to obtain the state value regarding the physical condition of the subject. As a result, it is not necessary to wait until the subject of measurement is at rest, and the load on the subject of measurement is reduced.

  Further, in the physical and mental state measurement apparatus 1000 according to the first embodiment of the present invention, the situation determination unit 20 determines whether or not the user is in the specific resting situation at every first predetermined time (for example, one minute). The sensor information determined to be the specific resting state is classified according to the type of the specific resting state. The state value calculation unit 30 relates to the physical condition of the person to be measured based on sensor information corresponding to the time when the situation determination unit determines that the specific resting situation is in the sensor information for each type of the specific resting situation. Calculate and output the state value. Thus, it is possible to obtain the state value related to the physical condition of the person to be measured for each type of the specific resting state. Further, the type of the specific resting state can be changed depending on the subject of measurement, and the state value related to the physical condition of the subject of measurement can be obtained.

  In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the state value is any one of a chronic stress value, an acute stress value, and a degree of concentration. The chronic stress value is a value indicating the degree of stress accumulated chronically in the subject. The acute stress value is a value that indicates the degree to which the subject is acutely subjected to stress. The degree of concentration is a value indicating the degree to which the person to be measured concentrates on a predetermined task. Thus, a plurality of types of parameters can be used as the state value.

  In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress accumulated chronically in the measurement subject. The state value calculator 30 is a value obtained by correcting the calculated value of chronic stress using the questionnaire result for the measurement subject, a value obtained by correcting the calculated value of chronic stress using the test result of the blood of the measurement subject, or The calculated value of stress is output as a corrected value using the questionnaire result for the subject and the test result of the blood of the subject.

The Ministry of Health, Labor and Welfare's questionnaire such as stress check can ensure a certain degree of accuracy because the person to be measured directly responds. In addition, blood tests accurately reflect the information of the body and become more accurate information. Therefore, the accuracy of the chronic stress value can be further enhanced by using the questionnaire result of the measurement subject or the test result of the blood of the measurement subject for correction of the chronic stress value. In particular, by setting the result of the questionnaire consciously performed by the person to be measured as the correction value of the chronic stress value, it is possible to continuously monitor the change of the chronic stress value with higher accuracy.
In addition, by using the blood test results of the measurement subject as the correction value of the chronic stress value, the correction that more accurately reflects the physical condition of the measurement subject is applied to the chronic stress value in the daily specified resting condition. It can be carried out.

  In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress accumulated chronically in the measurement subject. When the plurality of chronic stress values are calculated within a predetermined period, the state value calculator 30 outputs the minimum value among the plurality of chronic stress values.

  Thereby, even when a plurality of chronic stress values are calculated, when the activity status is different, it is possible to calculate a chronic stress value appropriate for the person to be measured by evaluating a lower chronic stress value. .

  In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress accumulated chronically in the measurement subject. Among the calculated values of the chronic stress value detected for each type of the specific resting state, the state value calculating unit 30 specifies the chronic stress value of the specific resting state including the minimum value, and the specification close to the specific resting state including the minimum value. Outputs the chronic stress value of rest situations.

For example, when the activity status differs depending on the person, it is not possible to evaluate chronic stress values using one specific type of resting status uniformly. If only one specific resting condition is targeted for evaluation, it will be difficult for people who are less likely to be in the specified resting condition to continue evaluating chronic stress levels. Therefore, for example, by adding a specific resting condition close to the specific resting condition including the minimum value to the evaluation target, in addition to the measurement subject in the specific resting condition including the minimum value, the specific resting condition including the minimum value It is also possible to evaluate another person under measurement that is in the near specific resting situation. In this way, even when the activity status differs depending on the person, it is possible to continuously calculate a chronic stress value appropriate for the person to be measured.
In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress accumulated chronically in the measurement subject. The state value calculator 30 may calculate and output only the chronic stress value from the sum of the acute stress value and the chronic stress value. The minimum value among a plurality of total values calculated in a period in which chronic stress does not change is calculated as a chronic stress value.

  Here, the stress value measured in the resting state reflects chronic stress. Chronic stress is stress that is always present in the subject's body. Humans usually relieve stress by taking actions called coping after being stressed. However, stress that could not be resolved by coping is accumulated as chronic stress. The stress value in other non-stressed states (a state in which the acute stress value can be regarded as zero) is considered to be accumulated chronic stress. On the other hand, since the stress value measured in the semi-rest situation is the total stress value of the above chronic stress value and the instantaneous acute stress value, only the chronic stress value is calculated therefrom.

  In the physical and mental state measurement apparatus 1000 according to the first embodiment of the present invention, the situation determination unit 20 obtains the sensor information in addition to the sensor information, and the location information of the sensor that acquires the sensor information and the situation determination unit. At least one of the time information may be further used to determine whether or not the specific resting state is at every first predetermined time. As a result, it is possible to obtain positional information or time information of the sensor when the person to be measured enters a specific resting state.

The mind-body state measurement apparatus 1000 according to the first embodiment of the present invention further includes a storage selection unit 40. The storage selection unit 40 stores the state value output by the state value calculation unit 30. Further, the save and select unit 40 selects the appropriateness of the state value based on the state value output by the state value calculation unit 30. As a result, the mind-body state measurement apparatus 1000 can measure the mind-body state of the person to be measured daily, and can observe the continuous change for a somewhat long period (more than a month). For example, the mind-body condition measuring apparatus 1000 continuously measures and stores chronic stress of a person to be measured for half a year every day, calculates health risk based on the data, and works to promote health risk reduction and health promotion. , Can do mental and physical health management.

  The mind-body state measurement apparatus 1000 according to the first embodiment of the present invention further includes a notification unit 50. The notification unit 50 notifies the propriety of the state value based on the state value output by the state value calculation unit 30. Thereby, the physical condition of the person to be measured can be notified. The notification unit 50 notifies, for example, the propriety of the state value by outputting a voice or an image.

  In the psychosomatic state measurement device 1000 according to the first embodiment of the present invention, the notification unit 50 may notify the suitability of the state value using the minimum value of the state value output by the storage selection unit 40 as a threshold. . The notification unit 50 can usually measure, as an instantaneous value, a total stress value of the accumulated chronic stress and an instantaneous acute stress. If this instantaneous value is continuously recorded, it is possible to measure a moment without acute stress (due to relaxation etc.) at a certain moment. This value is a minimum value as a stress value, and this value itself is a value reflecting chronic stress. Therefore, the minimum value can be set as the value of chronic stress. As a result, only chronic stress can be alerted.

  Further, the mind-body state measurement method according to the first embodiment of the present invention includes a situation determination step and a state value calculation step. In the situation determination step, based on sensor information on the person to be measured, it corresponds to a specific resting state which is either a resting state in which the mind and body of the person to be measured rest or a semi-resting state in accordance with the resting state. It is determined at every first predetermined time whether or not to do. In the state value calculation step, the state value related to the physical condition of the person to be measured is calculated and output based on the sensor information corresponding to the time determined to be the specific resting condition in the condition determination step among the sensor information. Also by such a measurement method, the same effect as that of the mind-body state measurement device 1000 can be obtained.

  Further, the mind-body state measurement program according to the first embodiment of the present invention causes a computer to perform processing including the situation determination step and the state value calculation step. Such a program can also achieve the same effect as that of the mind-body state measurement apparatus 1000.

  Further, the storage medium according to the first embodiment of the present invention stores a mind-body state measurement program that causes a computer to perform processing including the state determination step and the state value calculation step. With such a storage medium, the same effect as that of the mind-body state measurement device 1000 can be obtained.

Second Embodiment
The configuration of the mind-body state measurement apparatus 1000A according to the second embodiment of the present invention will be described. FIG. 8 is a diagram showing the configuration of the mind-body state measurement apparatus 1000A.

  As shown in FIG. 8, the mind-body state measurement apparatus 1000 includes a sensor 10, a situation determination unit 20, and a state value calculation unit 30.

  Here, the physical and mental state measurement apparatus 1000 according to the first embodiment and the physical and mental state measurement apparatus 1000A according to the second embodiment are compared.

  As shown in FIG. 1 and FIG. 8, the mind-body state measurement apparatus 1000A is different from the mind-body state measurement apparatus 1000 in that the storage selection unit 40 and the notification unit 50 are not provided. In FIG. 8, components equivalent to the components shown in FIGS. 1 to 7 are given the same reference numerals as the symbols shown in FIGS. 1 to 7.

  As shown in FIG. 1, the sensor 10 is connected to the situation determination unit 20 and the state value calculation unit 30. Wireless or wired is used for this connection. The sensor 10 acquires sensor information on the person to be measured, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

  The sensor information on the person to be measured and the sensor 10 conform to the first embodiment, as described with reference to FIGS.

  As shown in FIG. 8, the situation determination unit 20 is connected to the sensor 10 and the state value calculation unit 30. Wireless or wired is used for this connection. The situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the person to be measured is in the specific resting state, based on sensor information on the person to be measured. As described in the first embodiment with reference to FIGS. 2 to 4, the situation determination unit 20 determines whether the person to be measured is in the specific resting state.

  As shown in FIG. 8, the state value calculation unit 30 is connected to the sensor 10 and the situation determination unit 20. Wireless or wired is used for this connection. The state value calculation unit 30 determines the body of the person to be measured based on sensor information corresponding to the time determined by the situation determination unit 20 as being in the stable state or the semi-stable state among the sensor information acquired by the sensor 10. Calculate the state value for the state.

  Specifically, first, among the sensor information acquired by the sensor 10, the state value calculation unit 30 acquires sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state. That is, for example, the situation determination unit 20 specifies the time when the measurement subject is determined to be in the specific resting situation, and acquires sensor information corresponding to this time. Then, based on the acquired sensor information, the state value calculation unit 30 calculates a state value related to the physical condition of the person to be measured every first predetermined time.

  The state value regarding the physical condition of the measurement subject is a value or the like representing the physical condition of the measurement subject, as described in the first embodiment, and for example, a chronic stress value, an acute stress value, concentration And so on.

  As described in the first embodiment with reference to FIG. 4, the state value calculator 30 determines the state value based on the sensor information corresponding to the time determined by the state determination unit 20 to be in the specific resting state. Calculate

  The configuration of the mind-body state measurement apparatus 1000A has been described above.

  Next, the operation of the mind-body state measurement apparatus 1000A will be described. FIG. 9 is a diagram showing an operation flow of the mind-body state measurement apparatus 1000A.

  As shown in FIG. 9, each sensor 10 acquires sensor information (see FIGS. 2 to 4) regarding the person to be measured (S 201). In addition, each sensor 10 outputs the acquired sensor information to the state determination unit 20 and the state value calculation unit 30.

  Next, the situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the person to be measured is in the specific resting situation, based on the sensor information input by each sensor 10 S202).

  When it is determined by the situation determination unit 20 that the measurement target person is in the specific resting situation (S202, Yes), the situation determination unit 20 determines the time in which the specific resting situation is determined (for example, from 16:05 to 16:00) 8) is output to the state value calculator 30. Then, the state value calculation unit 30 calculates a state value related to the physical condition of the person to be measured (S203). Specifically, of the sensor information acquired by the sensor 10, the state value calculation unit 30 determines the time during which the situation determination unit 20 determines that the user is in the specific resting state (for example, 16: 5 to 16: 8). The state value is calculated based on the sensor information corresponding to.

  On the other hand, when the situation determination unit 20 does not determine that the measurement target person is in the specific resting state (S202, No), the mind-body state measurement apparatus 1000A repeats the process from S201.

  Thus, the processing of the mind-body state measurement apparatus 1000A ends.

  As described above, the mind-body state measurement apparatus 1000A according to the second embodiment of the present invention includes the situation determination unit 20 and the state value calculation unit 30. The situation determination unit 20 determines, for each first predetermined time (for example, one minute), whether or not the situation corresponds to the specific resting situation, based on the sensor information on the person to be measured. A specific resting situation is either a resting situation or a semi-rest situation. The resting state is a state in which the mind and body of the person being measured is at rest, and the quasi-rest state is a state in accordance with the resting state. The state value calculation unit 30 calculates and outputs a state value related to the physical condition of the person to be measured based on sensor information corresponding to the time when the condition determination unit 20 determines that the specific resting condition is in the sensor information. Do.

  As described above, the situation determination unit 20 determines, for each first predetermined time period, whether or not the situation corresponds to the specific resting situation based on the sensor information on the person to be measured. Therefore, it is possible to know at every first predetermined time whether the person to be measured is in the specific resting state or not. That is, it is possible to know the time when the person to be measured was in the specified resting state, without having to put the person to be measured in the specified resting state. Further, the state value calculation unit 30 is a state value related to the physical condition of the person to be measured (for example, based on the sensor information corresponding to the time determined to be the specific resting condition by the condition determination unit 20). Calculate and output chronic stress value). Therefore, the state value based on the sensor information can be acquired only for the time when the person to be measured is in the specific resting state.

  Therefore, according to the mind-body state measurement apparatus 1000A in the second embodiment of the present invention, it is possible to obtain the state value regarding the physical condition of the measurement subject without setting the measurement subject to the specific resting state. As a result, it is not necessary to wait until the subject of measurement reaches a specific resting state, and the load on the subject of measurement is reduced.

  Further, the mind-body state measurement method according to the second embodiment of the present invention includes a situation determination step and a state value calculation step. In the situation determination step, based on sensor information on the person to be measured, it corresponds to a specific resting state which is either a resting state in which the mind and body of the person to be measured rest or a semi-resting state in accordance with the resting state. It is determined at every first predetermined time whether or not to do. In the state value calculation step, the state value related to the physical condition of the person to be measured is calculated and output based on the sensor information corresponding to the time determined to be the specific resting condition in the condition determination step among the sensor information. Also by such a measurement method, the same effect as that of the mind-body state measurement device 1000A can be obtained.

  Further, the mind-body state measurement program according to the second embodiment of the present invention causes a computer to execute processing including the state determination step and the state value calculation step. Such a program can also achieve the same effect as that of the mind-body state measurement apparatus 1000A.

  Further, the storage medium according to the second embodiment of the present invention stores a mind-body state measurement program that causes a computer to perform processing including the state determination step and the state value calculation step. With such a storage medium, the same effect as that of the mind-body state measurement device 1000A can be obtained.

  Each sensor 10 may output identification information for identifying the person to be measured to the situation determination unit 20 and the state value calculation unit 30 together with the sensor information on the person to be measured.

  The condition determination unit 20 may attach a condition label to the sensor information corresponding to the time determined to be the specific resting condition, and may output this to the condition value calculation unit 30. As a result, the state value calculation unit 30 can recognize the time determined to be the specific resting state only by confirming the state label attached to the sensor.

Also, some or all of the components of each device or system are realized by any combination of an information processing device 2000 and a program as shown in FIG. 10, for example. FIG. 10 is a diagram showing an example of an information processing apparatus for realizing the mind-body state measurement apparatus 1000, 1000A and the like.
The information processing apparatus 2000 includes the following configuration, as an example.

・ CPU (Central Processing Unit) 2001
・ ROM (Read Only Memory) 2002
・ RAM (Random Access Memory) 2003
・ Program 2004 loaded to RAM 2003
A storage device 2005 for storing the program 2004
Drive device 2007 for reading and writing the recording medium 2006
・ Communication interface 2008 connected with communication network 2009
・ Input / output interface 2010 for data input / output
・ Bus 2011 connecting each component
Each component of each device in each embodiment is realized by the CPU 2001 acquiring and executing a program 2004 for realizing these functions. A program 2004 for realizing the function of each component of each device is stored in advance in, for example, the storage device 2005 or the RAM 2003, and is read by the CPU 2001 as necessary. The program 2004 may be supplied to the CPU 2001 via the communication network 2009, or may be stored in advance in the recording medium 2006, and the drive device 2007 may read the program and supply it to the CPU 2001.

  There are various modifications in the implementation method of each device. For example, each device may be realized by any combination of separate information processing device 2000 and program for each component. Also, a plurality of components included in each device may be realized by any combination of one information processing device 2000 and a program.

  In addition, part or all of each component of each device is realized by general-purpose or dedicated circuitry including a processor or the like, or a combination thereof. These may be configured by a single chip or may be configured by a plurality of chips connected via a bus. A part or all of each component of each device may be realized by a combination of the above-described circuits and the like and a program.

  When a part or all of each component of each device is realized by a plurality of information processing devices, circuits, etc., the plurality of information processing devices, circuits, etc. may be arranged centrally or distributedly. It is also good. For example, the information processing apparatus, the circuit, and the like may be realized as a form in which each is connected via a communication network, such as a client and server system, a cloud computing system, and the like.

In addition, part or all of the above-described embodiments may be described as follows, but is not limited to the following.
[Supplementary Note 1]
Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state A situation determination unit that determines whether the first predetermined time interval;
The state value calculation which calculates and outputs the state value about the physical condition of the person to be measured based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination unit among the sensor information Mind and body condition measuring device equipped with
[Supplementary Note 2]
The condition determination unit determines whether or not the specific resting condition is at each first predetermined time, and classifies the sensor information determined as the specific resting condition according to the type of the specific resting condition,
The state value calculation unit is configured to measure the target object based on sensor information corresponding to a time when the condition determination unit determines that the specific resting condition is among the sensor information, for each type of the specific resting condition. The mental and physical state measurement device according to Supplementary Note 1, which calculates and outputs a state value related to the physical state of the person.
[Supplementary Note 3]
The state value is a chronic stress value indicating the degree of stress accumulated chronically in the subject, an acute stress value indicating the degree of stress acutely received by the subject, and a degree of fatigue of the subject The psychosomatic state measuring device according to any one of the remarks 1 or 2, which is any one of a degree of fatigue indicating a degree of concentration and a degree of concentration indicating a degree of concentration of the person to be measured on a predetermined work.
[Supplementary Note 4]
The mind-body state according to any one of Appendices 1 to 3, further comprising: a storage selection unit configured to store the state value and select the state value based on the state value output by the state value calculation unit. measuring device.
[Supplementary Note 5]
The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The psychosomatic state measurement device according to claim 1 or 2, wherein the state value calculator outputs a minimum value among the plurality of chronic stress values when the plurality of chronic stress values are calculated within a predetermined period. [Supplementary Note 6]
The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The state value calculation unit is configured to calculate the chronic stress value including the minimum value among the calculated values of the chronic stress value detected for each type of the specific resting state, and the identification including the minimum value and the specific value including the minimum value. The psychosomatic state measurement device according to any one of Appendices 1 or 2, which outputs the chronic stress value of another specific resting situation close to a resting situation.
[Supplementary Note 7]
The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The state value calculation unit uses a value obtained by correcting the calculated value of the chronic stress value using the questionnaire result for the measurement subject, or a calculated value of the chronic stress value using the test result of the blood of the measurement subject. The mind-body-state measuring apparatus according to appendix 1 or 2, which outputs a corrected value or a value obtained by correcting the calculated value of the chronic stress value using the result of the questionnaire for the subject and the test result of the blood of the subject .
[Supplementary Note 8]
The state value is a chronic stress value indicating the degree of stress accumulated chronically in the subject, and an acute stress value indicating the degree of stress acutely received by the subject.
9. The psychosomatic state measurement device according to claim 1, wherein the state value calculator calculates and outputs the chronic stress value from a total value of the acute stress value and the chronic stress value.
[Supplementary Note 9]
The condition determination unit further uses at least one of position information of a sensor that acquires the sensor information and time information when the condition determination unit acquires the sensor information, in addition to the sensor information. Appendices any one of the Claims 1-8 which determine whether it is a specific resting condition for every said 1st predetermined time, The mind-body condition measuring apparatus of any one of a statement.
[Supplementary Note 10]
10. The psychosomatic state measurement device according to any one of appendices 1 to 9, further comprising a notification unit that notifies the appropriateness of the state value based on the state value output by the state value calculation unit.
[Supplementary Note 11]
Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state A situation determining step of determining the first predetermined time interval;
State value calculation which calculates and outputs the state value about the physical condition of the person to be measured based on the sensor information corresponding to the time determined to be the specific resting state in the state determination step among the sensor information A method of measuring mind-body state including steps.
[Supplementary Note 12]
Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state A situation determining step of determining the first predetermined time interval;
State value calculation which calculates and outputs the state value about the physical condition of the person to be measured based on the sensor information corresponding to the time determined to be the specific resting state in the state determination step among the sensor information A mind-body state measurement program that causes a computer to perform processing including steps.
[Supplementary Note 13]
Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state A situation determining step of determining the first predetermined time interval;
State value calculation which calculates and outputs the state value about the physical condition of the person to be measured based on the sensor information corresponding to the time determined to be the specific resting state in the state determination step among the sensor information A storage medium storing a mind-body state measurement program that causes a computer to perform processing including steps.

The present invention has been described above with reference to the embodiments (and examples), but the present invention is not limited to the above embodiments (and examples). The configurations and details of the present invention can be modified in various ways that can be understood by those skilled in the art within the scope of the present invention.
This application claims priority based on Japanese Patent Application No. 2016-144839 filed on Jul. 22, 2016, the entire disclosure of which is incorporated herein.

Reference Signs List 10 sensor 20 condition determination unit 30 condition value calculation unit 40 storage selection unit 50 notification unit 1000, 1000A mind-body condition measuring device

Claims (12)

Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state Status determination means for determining whether the
State value calculation which calculates and outputs a state value related to the physical condition of the person to be measured based on sensor information corresponding to the time determined to be the specific resting state by the state determination means among the sensor information Mind and body condition measuring device equipped with means. The condition determination means determines whether or not the specific resting condition is at each first predetermined time, and classifies the sensor information determined as the specific resting condition according to the type of the specific resting condition,
The state value calculation means is, for each type of the specific resting state, the measurement target based on sensor information corresponding to a time determined by the state determining means as the specific resting state among the sensor information. The mind-body state measuring device according to claim 1 which calculates and outputs a state value about a person's physical state.   The state value is a chronic stress value indicating the degree of stress accumulated chronically in the subject, an acute stress value indicating the degree of stress acutely received by the subject, and a degree of fatigue of the subject The psychosomatic state measurement device according to claim 1 or 2, wherein the mental state measurement apparatus is any one of a fatigue level indicating the degree of concentration and a concentration level indicating the degree to which the person to be measured concentrates on a predetermined task.   The mind and body according to any one of claims 1 to 3, further comprising storage selection means for storing the state value and selecting the state value based on the state value output by the state value calculation means. Condition measurement device. The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The psychosomatic state measurement device according to claim 1 or 2, wherein the state value calculation means outputs a minimum value among the plurality of chronic stress values when the plurality of chronic stress values are calculated within a predetermined period. The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The state value calculation means is configured to calculate the chronic stress value including the minimum value among the calculated values of the chronic stress value detected for each type of the specific resting state, and the specific value including the minimum value in the specific resting state. The psychosomatic state measurement device according to claim 1 or 2, which outputs the chronic stress value of another specific resting situation close to a resting situation. The state value is a chronic stress value indicating a degree of stress accumulated chronically in the measurement subject, and
The state value calculation means uses a value obtained by correcting the calculated value of the chronic stress value using the questionnaire result for the subject or the calculated value of the chronic stress value using the test result of the blood of the subject. The psychosomatic state measurement according to claim 1 or 2, wherein the corrected value or the calculated value of the chronic stress value is output using the result of the questionnaire for the subject of measurement and the test result of the blood of the subject of measurement. apparatus. The state value is a chronic stress value indicating the degree of stress accumulated chronically in the subject, and an acute stress value indicating the degree of stress acutely received by the subject.
The psychosomatic state measurement device according to claim 1 or 2, wherein the state value calculation means calculates and outputs the chronic stress value from a sum of the acute stress value and the chronic stress value.   The situation determination means further uses at least one of position information of a sensor that acquires the sensor information and time information when the situation determination means acquires the sensor information, in addition to the sensor information. The psychosomatic state measurement device according to any one of claims 1 to 8, wherein it is determined at each of the first predetermined times whether or not it is a specific resting state.   The psychosomatic state measurement device according to any one of claims 1 to 9, further comprising: notification means for notifying the appropriateness of the state value based on the state value output by the state value calculation means. Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state Is determined every first predetermined time,
The mind-body state measuring method which calculates and outputs the state value regarding the physical condition of the measuring object person based on the sensor information corresponding to the time judged to be the said specific resting state among the sensor information.
Based on sensor information on the person to be measured, whether or not the person to be measured falls under a resting state in which the mind and body of the person to be measured rest or a specific resting state which is either a semi-rest state or a state according to the rest state Is determined every first predetermined time,
A state of mind and body that causes a computer to perform a process of calculating and outputting a state value related to the physical condition of the person to be measured based on sensor information corresponding to the time determined to be the specific resting state among the sensor information A storage medium storing a measurement program.

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