JP7006597B2 - Mental and physical condition measuring device, mental and physical condition measuring method, mental and physical condition measuring program and storage medium - Google Patents

Description

The present invention relates to a mental and physical condition measuring device and the like, and relates to a mental and physical condition measuring device and the like that outputs a state value related to the physical condition of a measurement target such as a chronic stress value.

Patent Document 1 discloses a technique of a fatigue degree determination processing system. In this technique, the LF / HF value is calculated from the LF (Low Frequency) value of the measurement target person and the HF (High Frequency) value of the measurement target person. 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 measurement target person is determined.

The LF value is the working value of the sympathetic nerve of the measurement subject, and is a periodic activity represented by the periodic activity of the brain stem (0.04 to 0.15 Hz, about 10 seconds cycle) synchronized with the fluctuation of blood pressure. The value related to the activity. The HF value is the function value of the parasympathetic nerve of the measurement subject, and is a value related to the periodic activity represented by the periodic activity of the brain stem (0.15 to 0.4 Hz, about 4 seconds cycle) synchronized with respiration. To say. The LF value and the HF value of the measurement target person are calculated by frequency analysis from the biological information of the measurement target person, particularly the electrocardiogram or the pulse wave.

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

Japanese Patent No. 5491749 Japanese Unexamined Patent Publication No. 2008-23409 Japanese Patent Application Laid-Open No. 2003-204942 Japanese Patent No. 4341984 Japanese Unexamined Patent Publication No. 2014-198200 Japanese Unexamined Patent Publication No. 2007-283401 Japanese Unexamined Patent Publication No. 9-22314 Japanese Unexamined Patent Publication No. 2014-200389

"Evaluation of stress tolerance of female college students by stress markers in saliva", "Bulletin of Faculty of Developmental Education, Kyoto Women's University", pp. 69-76, published February 10, 2014, co-authored by Masaki Ohno, Mihoko Wada, and Kaori Matsui. Co-authored by Yayoi Oda, Minoru Nakamura, Shu Tatsuta, Yukiko Koizumi, and Tsuneyuki Abe, "Attempt to create standard values of cortisol in saliva and urine of workers and examination of their usefulness-using high performance liquid chromatography-", "Human Engineering, Vol. 36, No. 56, pp. 287-297, published March 12, 2010 "How to select" high stress persons "based on numerical criteria (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/anzeneisei12/pdf/150803-1.pdf/> Naoji Matsuo, Shoji Hayakawa, Masaharu Harada, "Stress State Detection Technology from Voice", Magazine FUJITSU July 2014 (Vol. 65, No. 4), pp. 46-52, July 2014 Atsuyuki Nakano, Masaki Yamaguchi, "Evaluation of Stress by Saliva Amylase", Koji Mitsubayashi, "Smart Human Sensing-Sensor, Information, and Energy Technology for the Age of Healthy Big Data", CMC Publishing, pp. 68-76, Published March 27, 2014

However, in the invention described in Patent Document 1, each time the state value related to the physical condition of the measurement target such as the LF value and the HF value is calculated, the measurement target is placed in a resting state and then the biological information of the measurement target is obtained. I had to measure.

Therefore, when it is desired to see the continuous change in the objective fatigue of the measurement target person for a long period of time (for example, one month or more), the measurement target person is in a resting state every time the LF value and the HF value are calculated. Is a heavy load for the measurement target and the measurer.

The present invention has been made in view of such circumstances, and an object of the present invention is to obtain a state value relating to a physical condition of a measurement target person for measurement without putting the measurement target person in a resting state. The purpose is to provide a mental and physical condition measuring device and the like that can be used.

The mental and physical condition measuring device of the present invention is in either a resting state in which the mental and physical condition of the measurement target person is at rest, or a quasi-resting state in which the mental and physical condition of the measurement target person is similar to the resting state, based on the sensor information about the measurement target person. Corresponding to the situation determination means for determining whether or not a specific rest situation is applicable at each first predetermined time, and the time determined by the situation determination means among the sensor information to be the specific rest situation. It is provided with a state value calculation means for calculating and outputting a state value related to the physical state of the person to be measured based on the sensor information.

The method for measuring the mental and physical condition of the present invention is based on the sensor information about the measurement target person, in either a resting state in which the mental and physical condition of the measurement target person is resting, or a quasi-resting state in which the state is similar to the resting state. Corresponding to the situation determination step of determining whether or not a specific rest situation is applicable at each first predetermined time, and the time determined by the situation determination means among the sensor information to be the specific rest situation. It includes a state value calculation step of calculating and outputting a state value related to the physical state of the measurement target person based on the sensor information to be measured.

Based on the sensor information about the measurement target person, the storage medium of the present invention is specified as either a resting state in which the mind and body of the measurement target person are at rest, or a quasi-resting state in which the measurement target person is in a state similar to the resting state. Whether or not it corresponds to a resting state is determined at each first predetermined time, and the measurement target person is based on the sensor information corresponding to the time determined to be the specific resting state among the sensor information. Stores a mental and physical condition measurement program that causes a computer to perform a process of calculating and outputting a state value related to the physical state of.

According to the mental and physical condition measuring device or the like according to the present invention, it is possible to obtain a state value related to the physical condition of the measurement target person without putting the measurement target person in a resting state for the measurement.

It is a figure which shows the structure of the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure which shows the information content about the sensor used in the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure which shows the information content about the sensor used in the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure which shows the information content about the sensor used in the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure which shows the operation flow of the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure for demonstrating a specific example of the mind-body state measuring apparatus in 1st Embodiment of this invention. It is a figure for demonstrating a specific example of the mind-body state measuring apparatus in 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 flow of the mind-body state measuring apparatus in the 2nd Embodiment of this invention. It is a figure which shows an example of the information processing apparatus which realizes the mind-body state measuring apparatus and the like in 1st and 2nd Embodiment of this invention.

<First Embodiment>
The configuration of the mental and physical condition measuring device 1000 according to the first embodiment of the present invention will be described. FIG. 1 is a diagram showing a configuration of a mental and physical condition measuring device 1000. 2 to 4 are diagrams showing information contents regarding the sensor 10 used in the mental and physical condition measuring device 1000.

As shown in FIG. 1, the mental and physical condition measuring device 1000 includes a sensor 10, a status 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 status determination unit 20 and the state value calculation unit 30. Wireless or wired is used for this connection. The sensor 10 acquires sensor information about the measurement target person and outputs the sensor information to the status determination unit 20 and the state value calculation unit 30. The sensor information about the measurement target person is, for example, a face image, the movement speed of the measurement target person, the volume around the desk of the company, the volume around the keyboard or mouse of the desk of the company, and the like.

As shown in FIGS. 2 to 4, the sensor 10 is, for example, a camera, a microphone, an acceleration sensor, a pressure sensor, a wearable sensor, or a brain wave meter. The sensor 10 may be provided with at least one for determination by the status determination unit 20 and at least one for determination by the state 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 sensors may be used. Hereinafter, a specific example will be described.

As shown in FIG. 2, the camera A is installed as a sensor 10 at the entrance gate of the company. The camera A calculates the face image of the measurement target person and the moving speed of the measurement target person as sensor information about the measurement target person, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

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

The camera C is installed on the desk of the company as the sensor 10. The camera C detects a face image of the measurement target person as sensor information about the measurement target person, and outputs the face image to the situation determination unit 20 and the state value calculation unit 30.

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

The camera E is installed in the toilet of the company as the sensor 10. The camera E detects the face image of the measurement target person as the sensor information regarding the measurement target person, and outputs this to the status determination unit 20 and the state value calculation unit 30.

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

The microphone B is installed as a sensor 10 on the keyboard or mouse of the desk of the company. The microphone B calculates the volume around the keyboard or the mouse of the desk of the company as sensor information about the measurement target person, and outputs this to the status 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 movement acceleration of a specific part (for example, an arm) of the body of the measurement target person as sensor information about the measurement target person, and outputs this to the situation determination unit 20 and the state value calculation unit 30.

The pressure sensor A is installed as the sensor 10 on the seat surface of the chair of the desk of the company. The pressure sensor A calculates the pressure value applied to the seat surface of the chair of the desk of the company as the sensor information regarding the measurement target person, and outputs this to the status determination unit 20 and the state value calculation unit 30.

The pressure sensor B is installed as a sensor 10 on the keyboard or mouse of the desk of the company. The pressure sensor B calculates the pressure value applied to the keyboard or mouse of the desk of the company as sensor information regarding the measurement target person, and outputs this to the status 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 person to be measured as the sensor 10. The wearable sensor A calculates the pulse wave, heart rate, electrocardiographic potential, etc. of the measurement target person as sensor information regarding the measurement target person, and outputs this to the status determination unit 20 and the state value calculation unit 30.

The saliva amylase monitor is attached to the body of the person to be measured as a sensor 10. The saliva amylase monitor calculates the amount of amylase in the saliva of the measurement target as sensor information about the measurement target, and outputs this to the status determination unit 20 and the state value calculation unit 30. The saliva 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 measurement target person as sensor information about the measurement target person, and outputs this to the status 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 body of the measurement target person as sensor information about the measurement target person, 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 target person as sensor information about the measurement target person, and outputs this to the status 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 a sensor 10. The microphone C calculates the tone of the voice of the measurement target person and the speaking speed of the measurement target person as sensor information about the measurement target person, and outputs this to the situation 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 electroencephalogram (voltage value at a predetermined frequency) of the measurement target person as sensor information about the measurement target person, and outputs this to the status determination unit 20 and the state value calculation unit 30.

As shown in FIG. 1, the status 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 whether or not the measurement target person is in a specific resting state every first predetermined time (for example, 1 minute) based on the sensor information about the measurement target person.

Here, the specific rest situation is either a rest situation or a quasi-rest situation. The resting state is a state in which the mind and body of the person to be measured are at rest. More specifically, the resting state refers to a situation in which the body is not moving and is quiet, for example, a situation after sitting in a chair for 10 minutes and taking a deep breath. Further, the quasi-resting situation is a situation similar to the resting situation, and is, for example, a situation that is relatively close to the resting situation among the situations that can occur during the activity of the person to be measured.

As shown in FIGS. 2 to 4, the situation determination unit 20 determines whether or not the measurement target person is in a specific resting state. The situation determination unit 20 determines whether or not the measurement target person is in a specific resting state every first predetermined time (for example, 1 minute) based on at least one sensor information. Hereinafter, a specific example will be described.

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

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

The situation determination unit 20 waits for a certain period of time (for example, 30 minutes) from the face image of the person to be measured sitting on the chair of the desk of the company based on the sensor information of the camera C at the first predetermined time. When 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 target person is waiting in front of the elevator of the company based on the sensor information of the camera D at the first predetermined time, the measurement target person is specified. Judge that it is in a resting state.

When the situation determination unit 20 recognizes that the measurement target person is looking at the mirror of the toilet from the face image based on the sensor information of the camera E at the first predetermined time, the measurement target person is specified rest. Judge as a situation.

As shown in FIG. 3, in the situation determination unit 20, the volume value excluding the voice of the measurement target person around the desk of the company is set to a predetermined value (based on the sensor information of the microphone A) at each first predetermined time. For example, when 50 dB) and the voice of the measurement target person is not spoken, it is determined that the measurement target person is in a specific resting state. Here, regarding the determination that the voice of the measurement target person is not uttered, the situation determination unit 20 detects the voice section by a general voice section detection technique. Further, the situation determination unit 20 utters the voice of the measurement target person when the volume value of the section is equal to or less than a certain value (for example, 60 dB) or when the voice section cannot be detected by the voice section detection. It is determined that there is no such thing.

The situation determination unit 20 measures when the volume around the keyboard or the mouse of the desk of the company is equal to or less than a predetermined value (for example, 50 dB) based on the sensor information of the microphone B at the first predetermined time. It is determined that the person is in a specific resting situation.

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

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

The situation determination unit 20 has a pressure value applied to the keyboard or mouse of the desk of the company at a predetermined value (for example, 1000 kg / m ² ) or less based on the sensor information of the pressure sensor B at each 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 status determination unit 20, and the storage selection unit 40. Wireless or wired is used for this connection.

The state value calculation unit 30 is the body of the measurement target person based on the sensor information corresponding to the time determined by the situation determination unit 20 to be a stable state or a metastable state among the sensor information acquired by the sensor 10. The state value related to the state is calculated and output to the save selection unit 40.

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

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

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

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

The state value calculation unit 30 is based on the heart rate of the measurement target person, which is the sensor information of the wearable sensor A corresponding to the time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be in the specific resting state. 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 this to the storage selection unit 40. The state value calculation unit 30 calculates the LF / HF value from the heart rate of the measurement target person using, for example, the technique 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 level described in Patent Document 1 is taken as the chronic stress value.

Further, for example, the state value calculation unit 30 uses saliva amylase as sensor information for a saliva amylase monitor corresponding to a time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be in a specific resting state. The amount of is used to calculate the acute stress value. Specifically, the state value calculation unit 30 calculates the acute stress value based on the amylase value in saliva by using the technique described in Patent Document 4. At this time, the amylase value described in Patent Document 4 is used as the acute stress value. Amylase in saliva is secreted with sympathetic nerve activity (acute stress). Therefore, amylase in saliva can be used as it is as an acute stress value. The degree of stress can be determined from this acute stress value. Here, for example, the following criteria can be set (see Non-Patent Document 1). "No stress" when the salivary amylase reading is less than 30 KU / L (kilounit per liter). When the measured value of salivary amylase is 30 to 45 KU / L, it is "slightly stressed". "Stressed" when the salivary amylase reading is 46-60 KU / L. When the measured value of salivary amylase is 61 KU / L or more, "there is considerable stress".

Similar to the above, for example, when the acute stress value is calculated using the amount of cortisol, the absolute value (pmol / ml) of cortisol is used as the acute stress value. At this time, a numerical value is set as in the case of saliva amylase, and it is determined whether the stress is high or low (see Non-Patent Document 2 for a specific numerical value).

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

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

The state value calculation unit 30 calculates a chronic stress value based on the acceleration value of a specific part (for example, an arm) of the body of the measurement target person. Specifically, the state value calculation unit 30 calculates a chronic stress value from the total value of the amount of activity and the dullness of movement during the time determined to be a specific resting state from the acceleration. Here, the total value of the numerical values of the accelerometer is used as the total value of the amount of activity during the time when it is determined that the specific resting situation is reached. The average value of instantaneous acceleration is used for the dullness of movement. Compare these values with the values measured immediately before, and if there is a downward trend, it is judged that chronic stress has increased. The chronic stress value is calculated based on a predetermined standard based on the rate of decrease with respect to the immediately preceding measured value. For example, if the rate of decrease from the previous measurement is 10%, the chronic stress value is 10. If the rate of decrease from the previous measurement is 20%, the chronic stress value is set to 20.

Further, the state value calculation unit 30 calculates the degree of concentration from the activity amount of the measurement target person calculated based on the acceleration (measured value of the accelerometer) of the specific part (for example, the arm) of the body of the measurement target person. .. As the activity amount, the total value of the activity amount at the specific time in the time determined to be the specific resting state may be used, or the instantaneous value may be used. At this time, for example, since the measured value of the arm accelerometer reflects the movement of the arm, it is often proportional to the amount of work of the worker if he / she is working. Since the amount of work corresponds to the degree of concentration on the work, a plurality of threshold values are set 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 calculation unit 30 outputs the degree of concentration corresponding to the amount of activity.

Further, for example, the state value calculation unit 30 can use the measurement target person as sensor information of the wearable sensor E corresponding to the time (for example, from 15:00 to 16:00) determined by the situation determination unit 20 to be in a specific resting state. The degree of concentration is calculated using the body temperature (skin temperature). When the body temperature rises when concentrating on work with a heavy load, it is judged that the degree of concentration is high when the body temperature exceeds the threshold value. Further, when the temperature continues to be higher than a constant temperature (normal heat of human body temperature, etc.), for example, when the normal temperature is 36 degrees, when the temperature continues to be about 37.5 degrees, the body is often in a bad condition. In this way, when hyperthermia continues for a certain period of time, it is determined that the concentration level is low. The state value calculation unit 30 calculates the degree of temperature rise and the duration of high temperature as the degree of concentration.

Further, for example, the state value calculation unit 30 uses the voice of the person to be measured as the 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 in the specific resting state. 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 pitch dispersion, which indicates the basic height distribution of speech, and the level dispersion, which indicates the voice intensity distribution, as feature quantities. If both the pitch variance and the level variance are small, then the chronic stress value is high.

For example, the state value calculation unit 30 can use an electroencephalogram (voltage at a predetermined frequency) as sensor information of an electroencephalograph corresponding to a time (for example, 15:00 to 16:00) determined by the situation determination unit 20 to be in a specific resting state. The value) is used to calculate the acute stress value, the chronic stress value, and the degree of concentration (see Patent Document 7). As a method of calculating the degree of concentration from an electroencephalogram, it is known that when the power of an α wave (electroencephalogram having a frequency of 8 to 13 Hz) increases, the person becomes sleepy and the degree of concentration on work decreases. It is also known that the concentration increases as the power of FM (Frequency Modulation) theta waves (electroencephalograms having a frequency of 4 to 7 Hz calculated from a position slightly in front of the crown) increases. Examples of methods for calculating acute stress from brain waves include an increase / decrease in the power of an electroencephalogram having a frequency of 8 to 13 Hz (α wave), an increase / decrease in the power of an electroencephalogram having a frequency of 4 to 7 Hz, and an increase / decrease in the power of an electroencephalogram having a frequency of 13 to 20 Hz (β wave). ) The stress level is calculated by increasing or decreasing the power of the brain wave. Further, the ratio of α wave and β wave may be used as an acute stress value. For example, it is said that the α wave is dominant when relaxing and the β wave is dominant when in a tense state. Therefore, the value of the α wave / β wave may be used as the acute stress value to set a threshold value, and when the value becomes equal to or less than the threshold value, it may be determined that the acute stress is increased. As a method of calculating the chronic stress value from the brain wave, for example, the integrated value of the acute stress value per unit time is used as the 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 save selection unit 40 saves and selects a state value or 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 suitability of the state value based on the state value output by the storage selection unit 40. Specifically, the storage selection unit 40 selects a state value based on the state value output by the state value calculation unit 30 and a threshold value set in advance for each state value. Based on the state value output by the save selection unit 40, the notification unit 50 notifies the suitability of the state value. For example, when the state value output by the save selection unit 40 is larger than the threshold value, the notification unit 50 outputs a warning sound or a warning display as the suitability of the state value. The notification unit 50 is composed of, for example, a display unit that displays information on the screen, a speaker unit that outputs information by voice, and the like.

The configuration of the mental and physical condition measuring device 1000 has been described above.

Next, the operation of the mental and physical condition measuring device 1000 will be described. FIG. 5 is a diagram showing an operation flow of the mental and physical condition measuring device 1000.

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

Next, the situation determination unit 20 determines whether or not the measurement target person is in a specific resting state at first predetermined time (for example, 1 minute) based on the sensor information input by each sensor 10 (for example, 1 minute). S102).

When the situation determination unit 20 determines that the measurement target person is in the specific rest situation (S102, Yes), the situation determination unit 20 determines that the specific rest situation is the time (for example, from 16:05 to 16:00). 8 minutes) is output to the state value calculation unit 30. Then, the state value calculation unit 30 calculates a state value related to the physical state of the measurement target person (S103). Specifically, among the sensor information acquired by the sensor 10, the state value calculation unit 30 determines that the specific resting state is determined by the situation determination unit 20 (for example, from 16:05 to 16:08). The state value is calculated based on the sensor information corresponding to. Then, the state value calculation unit 30 outputs the calculation result of the state value to the storage selection 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 mental and physical condition measuring device 1000 repeats the processes after S101.

Next, the save selection unit 40 saves the state value output by the state value calculation unit 30 (S104).

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

When the state value output by the state value calculation unit 30 is determined by the save selection unit 40 to be larger than the threshold value (S105, Yes), the notification unit 50 emits a warning sound or a warning display as the suitability of the state value. Output (S106). This makes it possible to inform that the physical condition of the measurement target person is not good.

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

This completes the processing of the mental and physical condition measuring device 1000.

Hereinafter, in Examples 1 and 2, examples of selection of the sensor 10 will be illustrated. Example 3 describes a method for correcting a state value, and Examples 4 and 5 describe an example of selecting a state value when a plurality of types of specific resting situations are detected.

<Example 1>
In Example 1, the sensor 10 used when the situation determination unit 20 determines whether or not a specific resting situation is applicable and the sensor 10 used when the state value calculation unit 30 calculates a state value are common. The case is illustrated.

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

Further, the state value calculation unit 30 calculates the pulse wave and the heart rate from the facial image of the measurement target person based on the sensor information of the camera A, for example, by using the techniques described in Patent Documents 5 and 8. Further, the state value calculation unit 30 calculates the LF / HF value from the heart rate. Here, first, the state value calculation unit 30 acquires pulse wave data from the face image as the sensor information of the camera A. Next, the state value calculation unit 30 calculates the RR interval (time between peaks of the electrocardiographic potential) based on the pulse wave data. Next, the state value calculation unit 30 calculates the heart rate variability based on the RR interval. The state value calculation unit 30 analyzes, for example, frequency analysis of data (waveform) having an RR interval of about 300 seconds, and analyzes the frequency ratio (power spectral density, PSD (Power Spectral Density)) of the waveform. Then, the state value calculation unit 30 sets the low frequency component as LF and the high frequency component as HF among the obtained frequencies, and obtains the LF / HF value which is the ratio thereof. It should be noted that LF and HF are generally calculated from the frequency bands of LF (0.04 to 0.15 Hz, cycle of about 10 seconds) and HF (0.15 to 0.4 Hz, cycle of about 4 seconds). Then, the state value calculation unit 30 calculates the LF / HF value as a chronic stress value by using, for example, the technique 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 target person passes through 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 target person without putting the measurement target person in a resting state for the measurement and without imposing a burden on the measurement target person.

The measurement target person may be specified by using an existing face recognition technique from a face image database saved in advance, and is not limited to this method as long as the individual can be specified.

<Example 2>
In Example 2, when the sensor 10 used when the situation determination unit 20 determines whether or not the specific resting situation is applicable and the sensor 10 used when the state value calculation unit 30 calculates the state value are different. Is illustrated.

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

Further, the state value calculation unit 30 uses, for example, the technique described in Patent Document 1 to set the reciprocal of the heart rate as the RR interval based on the heart rate of the measurement target person, which is the sensor information of the wearable sensor A, and LF /. 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 target person passes through the entrance gate), the chronic stress value, and the absolute time.

In Example 2, the chronic stress value can be obtained as the state value related to the physical condition of the measurement target person without putting the measurement target person in a resting state for the measurement and without imposing a burden on the measurement target person. Further, by making the sensor 10 used when the situation determination unit 20 determines whether or not it corresponds to the specific resting situation and the sensor 10 used when calculating the state value by the state value calculation unit 30, different sensors. A sensor suitable for determining a specific rest situation and a sensor suitable for calculating a state value related to the physical condition of the measurement target can be used. Therefore, from Example 1, it is possible to accurately determine the specific resting situation and calculate the state value of the mental and physical state of the person to be measured.

To identify the person to be measured, an individual may be identified using the existing face recognition technology from the face image database saved in advance, or when an ID (identification) card is used at the entrance gate or when entering or leaving the room. May identify an individual from the information on the ID card obtained by the card reader. In this way, an individual may be identified by combining the present invention with information obtained from others that can be identified by an individual.

<Example 3>
In Example 3, a case where the chronic stress value is corrected with highly certain information will be illustrated. In Example 3, it is premised that the technical contents exemplified in Example 1 or Example 2 are applied. Here, "a method of selecting a" high stress person "based on a numerical standard (explanation of the stress check system implementation manual)" (see Non-Patent Document 3) is used every time it is judged to be a specific resting situation 10 times. The chronic stress value calculated in Example 1 or Example 2 is corrected by the preservation selection unit 40 using the result obtained in the “Stress check by the Ministry of Health, Labor and Welfare”. Here, in the data obtained by the stress check of Non-Patent Document 3, the points of the items related to the factors of mental and physical stress, the items related to the mental and physical stress response, and the items related to the surrounding support are given. For example, these values are taken as chronic stress values. The chronic stress value calculated by the present invention is separated from the threshold value by comparing the points related to the factors of mental and physical stress, the items related to the mental and physical stress response, and the items related to the surrounding support with the chronic stress value of the present invention. If so, the preservation selection unit 40 selects not to refer to the chronic stress value in the specific resting situation at that time.

In particular, it was obtained by the "Stress Check of the Ministry of Health, Labor and Welfare" conducted using "Method of selecting" high stress persons "based on numerical criteria (Explanation of 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 in regular health examinations, etc. to correct the chronic stress value. The Ministry of Health, Labor and Welfare's stress check, which is carried out using the "Method of selecting" high stress persons "based on numerical criteria (explanation of the stress check system implementation manual)", is compulsory based on the Industrial Safety and Health Act. , Regular health checkups are also compulsory. In the stress check of the Ministry of Health, Labor and Welfare, a certain degree of accuracy can be guaranteed because the person to be measured directly answers. In addition, the blood test accurately reflects the information of the body, and it becomes more accurate information. Therefore, if both the "stress check of the Ministry of Health, Labor and Welfare" and the test results of blood collected in the regular health checkup are used to correct the chronic stress value in the storage selection unit 40, the accuracy of the chronic stress value can be further improved. .. If you cannot obtain both the "stress check of the Ministry of Health, Labor and Welfare" and the test results of blood collected by regular health checkups, either the "stress check of the Ministry of Health, Labor and Welfare" or the test results of blood collected by regular health checkups, etc. It is also possible to correct the chronic stress value using only one of them.

In Example 1 or Example 2, the measurement target person can unknowingly acquire the sensor information, and the burden on the measurement target person can be reduced. On the other hand, in Example 3, it is necessary for the measurement target person to consciously perform the stress check. However, since the result of the stress check consciously performed by the measurement subject can be reflected as a correction value in the chronic stress value measured in Example 1 or Example 2, the final value of the chronic stress value becomes a more accurate value. That is, in Example 3, the change in the chronic stress value with higher accuracy can be continuously observed by using the content of the stress check consciously performed by the measurement target as the correction value. In addition to the stress check, the questionnaire response of the person to be measured may be used instead.

In particular, in the case of a blood test, the chronic stress value in the body of the person to be measured can be calculated with high accuracy. For example, for blood collection, take advantage of opportunities such as regular health checkups once every six months. The chronic stress value obtained from cortisol in blood is used as a highly reliable correction value. As a result, it is possible to make corrections that more accurately reflect the physical condition of the person to be measured for the chronic stress value in the specific resting situation on a daily basis.

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

FIG. 6 is a diagram for explaining a specific example of the mental and physical condition measuring device 1000, and shows information stored in the storage selection unit 40. In addition, in FIG. 6, a part of "conditions for a specific resting situation" is omitted due to space limitations. The actual "conditions for the specific rest situation" correspond to the "conditions for the specific rest situation" in FIGS. 2 to 4.

Here, as shown in FIG. 6, the situation determination unit 20 responds to the measurement target person M at each first predetermined time based on the sensor information of each of the camera A, the camera B, and the camera C. It is assumed that it is determined that the specific rest situation A, the specific rest situation B, and the specific rest situation C are applicable at the specific date and time.

That is, the situation determination unit 20 determines whether or not the measurement target person is in the specific rest status at each first predetermined time, and classifies the sensor information determined to be the specific rest status by the type of the specific rest status. ..

Further, the state value calculation unit 30 measures the measurement target based on the sensor information corresponding to the time determined by the situation determination unit 20 to be the specific rest situation among the sensor information classified for each type of the specific rest situation. A state value (for example, a chronic stress value) related to a person's physical condition is calculated and output.

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

At this time, the storage selection unit 40 determines the specific rest status to be continuously evaluated among the specific rest situations A to C. Only the chronic stress value in the specific resting situation that should be continuously evaluated is output.

As shown in FIG. 6, in the case of the measurement target person M, in the data measured during the measurement period (for example, one day on May 23 when May 23 is selected), the specific rest status A The chronic stress value of is the lowest at 10 (2016/5/23 08:01 minutes). Here, since the stress value measured in a quasi-rest situation such as the specific rest situation 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 can use the stress value from there. Calculate only chronic stress values. The minimum value of the value measured at a time (at least about one day) at which the chronic stress does not change is a value that accurately reflects the chronic stress value of the person to be measured. When observing continuous changes in chronic stress values for a long period of time (for example, monthly or more), one or more values may be measured for a period of time (for example, one day) in which chronic stress does not change. Therefore, the preservation selection unit 40 selects the minimum value of the value measured at a time (for example, one day) at which the chronic stress does not change, by performing the chronic stress value on the day.
Further, not limited to the minimum value, for example, the chronic stress value of the lower 10% of the measured state values may be used as the chronic stress value on the day. The lowest value and the lower 10% value are considered to be the values measured in a state close to the resting state in one day. Therefore, in the continuous evaluation, it is possible to calculate the chronic stress value more accurately by continuously evaluating the specific resting state including the lowest value of the chronic stress value and the value of the lower 10%. The preservation selection unit 40 selects the specific resting state A including the lowest chronic stress value as the target of continuous evaluation.

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

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

FIG. 7 is a diagram for explaining a specific example of the mental and physical condition measuring device 1000, and shows information stored in the storage selection unit 40. In addition, in FIG. 7, a part of "conditions for a specific resting situation" is omitted due to space limitations. The actual "conditions for the specific rest situation" correspond to the "conditions for the specific rest situation" in FIGS. 2 to 4.

Here, as shown in FIG. 7, the situation determination unit 20 responds to the measurement target person N at first predetermined time intervals based on the sensor information of each of the camera A, the camera B, and the camera C. It is assumed that it is determined that the specific rest situation A, the specific rest situation B, and the specific rest situation C are applicable at the specific date and time.

That is, the situation determination unit 20 determines whether or not the measurement target person is in the specific rest status at each first predetermined time, and classifies the sensor information determined to be the specific rest status by the type of the specific rest status. ..

Further, the state value calculation unit 30 measures the measurement target based on the sensor information corresponding to the time determined by the situation determination unit 20 to be the specific rest situation among the sensor information classified for each type of the specific rest situation. A state value (for example, a chronic stress value) related to a person's physical condition is calculated and output.

As shown in FIG. 7, each of the specific rest situation A, the specific rest situation B, and the specific rest situation C is detected three times, three times, and three times by the situation 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 specific rest situation (specific rest situation A, specific rest situation B, and specific rest situation C). .. Further, as shown in FIG. 7, the absolute time is also stored in the save selection unit 40.

Here, in Example 5, the case where the same specific resting situation does not continue for a certain period will be described. Specifically, it is an example in which the same specific resting condition does not continuously occur in the measurement subject for a period (for example, 3 days) longer than a time (for example, about 1 day) in which the chronic stress does not change. That is, as shown in FIG. 7, during the period from 2016/3/23 08:01 to 2016/5/27 09:41, the specific rest situation A is 3 times, the specific rest situation B is 3 times, and the specific rest situation is. C has occurred three times, but the same specific rest situation has not occurred within three days after each specific rest situation has occurred. The specific rest situation A occurred at 08:01 on March 23, 2016 as the first time, at 08:03 on April 15, 2016 as the second time, and at 11:40 on April 23, 2016 as the third time. Since both the 1st and 2nd times and the 2nd and 3rd times are free for 3 days or more, the specific rest situation A does not occur continuously within 3 days. The specific rest situation B occurred at 08:28, 2016/4/8 as the first time, at 13:28, 2016/5/12 as the second time, and at 15:50, 2016/5/17 as the third time. Since both the 1st and 2nd times and the 2nd and 3rd times are free for 3 days or more, the specific rest situation B does not occur continuously within 3 days. The specific rest situation C occurred at 08:30, 2016/4/11 as the first time, at 08:29, 2016/4/30 as the second time, and at 09:41, 2016/5/27 as the third time. Since both the 1st and 2nd times and the 2nd and 3rd times are free for 3 days or more, the specific rest condition C does not occur continuously within 3 days. In this case, the preservation selection unit 40 determines the specific rest status to be continuously evaluated among the specific rest situations A to C as follows.

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

Therefore, in addition to the specific rest situation A including the minimum value of the chronic stress value, the preservation selection unit 40 determines the specific rest situation in which the chronic stress value is close to the chronic stress value of the specific rest situation A as the target of 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 preservation selection unit 40. That is, when the chronic stress value of the specific rest status of the determination target is within a predetermined range based on the chronic stress value of the specific rest status A, the storage selection unit 40 sets the specific rest status of the determination target to the specific rest status. Judge as close. Specifically, for example, as follows, the preservation selection unit 40 determines the specific rest status to be continuously evaluated in addition to the specific rest status A. First, the storage selection unit 40 calculates the average value of each specific resting situation. In the example of FIG. 7, the average values of the chronic stress values of the specific rest states 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, the storage selection unit 40 determines that the specific rest status of the determination target is determined when the chronic stress value of the specific rest status of the determination target is within the range of "(chronic stress value of the specific rest status A) ± 3". Judged as close to a specific resting situation. In the example of FIG. 7, the difference between the average values of the chronic stress values between the specific rest situation A and the specific rest situation B is about 0.3, which is “(chronic stress value of the specific rest situation A) ± 3”. It is within the range. On the other hand, the difference between the average values of the chronic stress values between the specific rest situation A and the specific rest situation C is about 4.3, which is outside the range of "(chronic stress value of the specific rest situation A) ± 3". .. Therefore, the preservation selection unit 40 determines the specific rest situation B as the specific rest situation to be continuously evaluated in addition to the specific rest situation A.

In addition, when there is information such as the results of the stress check and blood test shown in Example 3, the specific resting situation in which the numerical value closest to the result of the stress check and blood test is continuously taken is specified to be evaluated. It may be decided as a resting situation.

According to this Example 5, the following effects can be claimed. For example, it is assumed that Mr. M shown in Example 4 is in a specific resting situation when he passes through the entrance gate, but Mr. N is rushing to work every day and is not in a specific resting situation. In this way, when the activity status differs from person to person, it is not possible to uniformly evaluate the chronic stress value using one specific resting status type. If only one specific resting situation is evaluated, it becomes difficult for a person who has a low frequency of the specific resting situation to continuously evaluate the chronic stress value. Therefore, for example, Mr. N can also be evaluated by adding the specific rest situation B (at the time of entering / leaving the room) whose chronic stress value is close to the specific rest situation A that can be used by Mr. M. In this way, even when the activity status differs from person to person, it becomes possible to continuously calculate an appropriate chronic stress value for the person to be measured.

As described above, the mental and physical condition measuring device 1000 according to the first embodiment of the present invention includes a situation determination unit 20 and a state value calculation unit 30. The situation determination unit 20 determines whether or not a specific resting situation is applicable every first predetermined time (for example, 1 minute) based on the sensor information about the measurement target person. A specific resting situation is either a resting situation or a quasi-resting situation. The resting state is a state in which the mind and body of the person to be measured are at rest, and the quasi-resting state is a situation similar to the resting state. The state value calculation unit 30 calculates and outputs the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state among the sensor information. do.

In this way, the situation determination unit 20 determines whether or not it corresponds to the specific resting situation at each first predetermined time based on the sensor information regarding the measurement target person. Therefore, it is possible to know whether or not the measurement target person is in a specific resting state at each first predetermined time. That is, it is possible to know the time during which the measurement target person was in the specific resting state without having to bother to put the measurement target person in the specific resting state. Further, the state value calculation unit 30 has a state value related to the physical condition of the measurement target person (for example, based on the sensor information corresponding to the time determined by the situation determination unit 20 to be a specific resting state among the sensor information. Chronic stress value) is calculated and output. Therefore, the state value based on the sensor information can be acquired only for the time when the measurement target person is in the specific resting state.

Therefore, according to the mental and physical condition measuring device 1000 according to the first embodiment of the present invention, it is possible to obtain a state value related to the physical condition of the measurement target person without putting the measurement target person in a resting state for measurement. .. That is, it is possible to obtain a state value related to the physical condition of the measurement target person even if the measurement target person is in a quasi-resting state without waiting for the measurement target person to be in a resting state. As a result, it is not necessary to wait until the measurement target person is in a resting state, and the load on the measurement target person is reduced.

Further, in the mental and physical condition measuring device 1000 according to the first embodiment of the present invention, the situation determination unit 20 determines whether or not it is a specific resting state every time (for example, 1 minute) in the first predetermined time. , The sensor information determined to be the specific rest status is classified according to the type of the specific rest status. The state value calculation unit 30 relates to the physical condition of the person to be measured based on the sensor information corresponding to the time determined by the situation determination unit to be the specific rest situation among the sensor information for each type of the specific rest situation. The state value is calculated and output. As a result, it is possible to obtain a state value related to the physical condition of the person to be measured for each type of specific resting state. In addition, the type of the specific resting state can be changed depending on the measurement target person, and the state value related to the physical condition of the measurement target person can be obtained.

In the mental and physical condition measuring 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 that chronically accumulates in the measurement subject. The acute stress value is a value indicating the degree of stress that the measurement subject receives acutely. The degree of concentration is a value indicating the degree to which the person to be measured concentrates on a predetermined work. In this way, a plurality of types of parameters can be used as the state values.

In the mental and physical condition measuring apparatus 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject. The state value calculation unit 30 corrects the calculated value of chronic stress using the results of a questionnaire to the measurement subject, the calculated value of chronic stress corrected using the blood test result of the measurement subject, or the chronic value. The calculated value of stress is output as a corrected value using the questionnaire result for the measurement target person and the blood test result of the measurement target person.

In questionnaires such as stress checks by the Ministry of Health, Labor and Welfare, the measurement target person himself / herself is asked to answer directly, so a certain degree of accuracy can be guaranteed. In addition, the blood test accurately reflects the information of the body, and it becomes more accurate information. Therefore, if the questionnaire result of the measurement target person or the blood test result of the measurement target person is used for the correction of the chronic stress value, the accuracy of the chronic stress value can be further improved. In particular, by using the results of a questionnaire consciously conducted by the measurement subject as the correction value for the chronic stress value, it is possible to continuously observe changes in the chronic stress value with higher accuracy.
In addition, by using the blood test result of the measurement subject as the correction value for the chronic stress value, the correction that more accurately reflects the physical condition of the measurement subject for the chronic stress value in the specific resting situation on a daily basis is made. It can be carried out.

In the mental and physical condition measuring apparatus 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject. When the state value calculation unit 30 calculates a plurality of the chronic stress values within a predetermined period, the state value calculation unit 30 outputs the minimum value among the plurality of the chronic stress values.

As a result, even if multiple chronic stress values are calculated, if the activity status is different, it is possible to calculate an appropriate chronic stress value for the measurement subject by evaluating a lower chronic stress value. ..

In the mental and physical condition measuring apparatus 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject. Among the calculated values of the chronic stress values detected for each type of the specific resting situation, the state value calculation unit 30 identifies the chronic stress value of the specific resting state including the minimum value and the identification close to the specific resting state including the minimum value. The chronic stress value of the resting state is output.

For example, when the activity status differs from person to person, it is not possible to uniformly evaluate the chronic stress value using one specific resting status type. If only one specific resting situation is evaluated, it becomes difficult for a person who has a low frequency of the specific resting situation to continuously evaluate the chronic stress value. Therefore, for example, by adding a specific rest situation close to the specific rest situation including the minimum value to the evaluation target, the specific rest situation including the minimum value can be added to the measurement target person in the specific rest situation including the minimum value. It is also possible to evaluate another person to be measured who is in a close specific resting situation. In this way, even when the activity status differs from person to person, it becomes possible to continuously calculate an appropriate chronic stress value for the person to be measured.
In the mental and physical condition measuring apparatus 1000 according to the first embodiment of the present invention, the state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject. The state value calculation unit 30 may calculate and output only the chronic stress value from the total value of the acute stress value and the chronic stress value. The minimum value among the plurality of total values calculated during the period in which the chronic stress does not change is calculated as the chronic stress value.

Here, the stress value measured in the resting state reflects the chronic stress. Chronic stress is the stress that remains in the body of the person being measured. Humans usually get rid of stress by taking a coping process after being stressed. However, stress that cannot be resolved by coping will accumulate as chronic stress. The stress value in the state where no other stress is applied (the state in which the acute stress value can be regarded as 0) is considered to be the accumulated chronic stress. On the other hand, since the stress value measured in the semi-resting state is the total stress value of the above-mentioned chronic stress value and the instantaneous acute stress value, only the chronic stress value is calculated from the stress value.

In the mental and physical condition measuring device 1000 according to the first embodiment of the present invention, in addition to the sensor information, the situation determination unit 20 acquires the position information of the sensor that acquires the sensor information, and the situation determination unit acquires the sensor information. At least one of the time information may be further used to determine whether or not the patient is in a specific resting state at each first predetermined time. As a result, it is possible to obtain the position information or the time information of the sensor when the measurement target person is in a specific resting state.

The mental and physical condition measuring device 1000 according to the first embodiment of the present invention further includes a storage selection unit 40. The save selection unit 40 saves the state value output by the state value calculation unit 30. Further, the storage selection 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 mental and physical condition measuring device 1000 can measure the mental and physical condition of the measurement target person on a daily basis and observe continuous changes for a certain long period (monthly or more). For example, the mental and physical condition measuring device 1000 continuously measures and stores the chronic stress of the person to be measured every day for half a year, calculates the health risk based on the data, and works to promote the reduction and promotion of the health risk. , Can perform physical and mental health management.

The mental and physical condition measuring device 1000 according to the first embodiment of the present invention further includes a notification unit 50. The notification unit 50 notifies the suitability of the state value based on the state value output by the state value calculation unit 30. This makes it possible to inform the physical condition of the person to be measured. The notification unit 50 notifies the suitability of the state value by outputting, for example, voice or an image.

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

Further, the method for measuring the physical and mental state 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 the sensor information about the measurement target person, the measurement target person corresponds to a specific resting situation which is either a resting state in which the mind and body are resting or a quasi-resting state which is a situation similar to the resting state. Whether or not to do so is determined every first predetermined time. In the state value calculation step, among the sensor information, the state value related to the physical condition of the measurement target person is calculated and output based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination step. Even with such a measuring method, the same effect as that of the mental and physical condition measuring device 1000 can be obtained.

In addition, the mental and physical condition measurement program according to the first embodiment of the present invention causes a computer to perform a process including the situation determination step and the state value calculation step. Even with such a program, the same effect as that of the mental and physical condition measuring device 1000 can be obtained.

Further, the storage medium according to the first embodiment of the present invention stores a mental and physical condition measurement program that causes a computer to perform a process including the situation determination step and the state value calculation step. Even with such a storage medium, the same effect as that of the mental and physical condition measuring device 1000 can be obtained.

<Second embodiment>
The configuration of the mental and physical condition measuring device 1000A according to the second embodiment of the present invention will be described. FIG. 8 is a diagram showing the configuration of the mental and physical condition measuring device 1000A.

As shown in FIG. 8, the mental and physical condition measuring device 1000 includes a sensor 10, a situation determination unit 20, and a state value calculation unit 30.

Here, the mental and physical condition measuring device 1000 in the first embodiment is compared with the mental and physical condition measuring device 1000A in the second embodiment.

As shown in FIGS. 1 and 8, the mental and physical condition measuring device 1000A differs from the mental and physical condition measuring device 1000 in that the storage selection unit 40 and the notification unit 50 are not provided. In FIG. 8, the components equivalent to the components shown in FIGS. 1 to 7 are designated by the same reference numerals as those shown in FIGS. 1 to 7.

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

The sensor information and the sensor 10 regarding the measurement target person conform to the first embodiment as described with reference to FIGS. 2 to 4.

As shown in FIG. 8, the status 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 whether or not the measurement target person is in a specific resting state every first predetermined time (for example, 1 minute) based on the sensor information about the measurement target person. The situation determination unit 20 determines whether or not the measurement target person is in a specific resting state, as described in the first embodiment with reference to FIGS. 2 to 4.

As shown in FIG. 8, the state value calculation unit 30 is connected to the sensor 10 and the status determination unit 20. Wireless or wired is used for this connection. The state value calculation unit 30 is the body of the measurement target person based on the sensor information corresponding to the time determined by the situation determination unit 20 to be a stable state or a metastable state among the sensor information acquired by the sensor 10. Calculate the state value related to the state.

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

The state value relating to the physical condition of the measurement target person is a value or the like representing the physical condition of the measurement target person as described in the first embodiment, and is, for example, a chronic stress value, an acute stress value, or a concentration. Degree etc.

As described in the first embodiment with reference to FIG. 4, the state value calculation unit 30 is based on the sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state. Is calculated.

The configuration of the mental and physical condition measuring device 1000A has been described above.

Next, the operation of the mental and physical condition measuring device 1000A will be described. FIG. 9 is a diagram showing an operation flow of the mental and physical condition measuring device 1000A.

As shown in FIG. 9, each sensor 10 acquires sensor information (see FIGS. 2 to 4) regarding the measurement target person (S201). Further, each sensor 10 outputs the acquired sensor information to the status determination unit 20 and the state value calculation unit 30.

Next, the situation determination unit 20 determines whether or not the measurement target person is in a specific resting state at first predetermined time (for example, 1 minute) based on the sensor information input by each sensor 10 (for example, 1 minute). S202).

When the situation determination unit 20 determines that the measurement target person is in the specific rest situation (S202, Yes), the situation determination unit 20 determines that the specific rest situation is the time (for example, from 16:05 to 16:00). 8 minutes) is output to the state value calculation unit 30. Then, the state value calculation unit 30 calculates a state value related to the physical state of the measurement target person (S203). Specifically, among the sensor information acquired by the sensor 10, the state value calculation unit 30 determines that the specific resting state is determined by the situation determination unit 20 (for example, from 16:05 to 16:08). 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 mental and physical condition measuring device 1000A repeats the processes after S201.

This completes the processing of the mental and physical condition measuring device 1000A.

As described above, the mental and physical condition measuring device 1000A according to the second embodiment of the present invention includes a situation determination unit 20 and a state value calculation unit 30. The situation determination unit 20 determines whether or not a specific resting situation is applicable every first predetermined time (for example, 1 minute) based on the sensor information about the measurement target person. A specific resting situation is either a resting situation or a quasi-resting situation. The resting state is a state in which the mind and body of the person to be measured are at rest, and the quasi-resting state is a situation similar to the resting state. The state value calculation unit 30 calculates and outputs the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined by the situation determination unit 20 to be in the specific resting state among the sensor information. do.

In this way, the situation determination unit 20 determines whether or not it corresponds to the specific resting situation at each first predetermined time based on the sensor information regarding the measurement target person. Therefore, it is possible to know whether or not the measurement target person is in a specific resting state at each first predetermined time. That is, it is possible to know the time during which the measurement target person was in the specific resting state without having to bother to put the measurement target person in the specific resting state. Further, the state value calculation unit 30 has a state value related to the physical condition of the measurement target person (for example, based on the sensor information corresponding to the time determined by the situation determination unit 20 to be a specific resting state among the sensor information. Chronic stress value) is calculated and output. Therefore, the state value based on the sensor information can be acquired only for the time when the measurement target person is in the specific resting state.

Therefore, according to the mental and physical condition measuring device 1000A according to the second embodiment of the present invention, it is possible to obtain a state value related to the physical condition of the measurement target person without putting the measurement target person in a specific resting state. As a result, it is not necessary to wait until the measurement target person reaches a specific resting state, and the load on the measurement target person is reduced.

Further, the method for measuring the physical and mental state 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 the sensor information about the measurement target person, the measurement target person corresponds to a specific resting situation which is either a resting state in which the mind and body are resting or a quasi-resting state which is a situation similar to the resting state. Whether or not to do so is determined every first predetermined time. In the state value calculation step, among the sensor information, the state value related to the physical condition of the measurement target person is calculated and output based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination step. Even with such a measuring method, the same effect as that of the mental and physical condition measuring device 1000A can be obtained.

In addition, the mental and physical condition measurement program according to the second embodiment of the present invention causes a computer to perform a process including the situation determination step and the state value calculation step. Even with such a program, the same effect as that of the mental and physical condition measuring device 1000A can be obtained.

Further, the storage medium according to the second embodiment of the present invention stores a mental and physical condition measurement program that causes a computer to perform a process including the situation determination step and the state value calculation step. Even with such a storage medium, the same effect as that of the mental and physical condition measuring device 1000A can be obtained.

In addition, each sensor 10 may output the identification information for identifying the measurement target person to the status determination unit 20 and the state value calculation unit 30 together with the sensor information regarding the measurement target person.

The situation determination unit 20 may attach a status label to the sensor information corresponding to the time determined to be a specific resting situation, and output this to the state 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 checking the situation label attached to the sensor.

Further, a part or all of each component of each device or system is realized by an arbitrary combination of the information processing device 2000 and the program as shown in FIG. 10, for example. FIG. 10 is a diagram showing an example of an information processing device that realizes the mental and physical condition measuring devices 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 into RAM 2003
-Storage device 2005 for storing the program 2004
A drive device 2007 that reads and writes the recording medium 2006.
-Communication interface 2008 to connect to the communication network 2009
-I / O interface 2010 for input / output of data
-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 that realizes these functions. The program 2004 that realizes the functions of each component of each device is stored in, for example, a storage device 2005 or RAM 2003 in advance, and is read by the CPU 2001 as needed. The program 2004 may be supplied to the CPU 2001 via the communication network 2009, or may be stored in the recording medium 2006 in advance, and the drive device 2007 may read the program and supply the program to the CPU 2001.

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

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

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 centrally arranged or distributed. May be good. For example, the information processing device, 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 and a cloud computing system.

In addition, some or all of the above-described embodiments may be described as follows, but are not limited to the following.
[Appendix 1]
Based on the sensor information about the measurement target person, whether or not the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person are at rest, or a quasi-resting state in which the state is similar to the resting state. A situation determination unit that determines whether or not the information is to be determined at first predetermined time intervals,
Of the sensor information, the state value calculation for calculating and outputting the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined by the situation determination unit to be the specific resting state. A mental and physical condition measuring device equipped with a part.
[Appendix 2]
The situation determination unit determines whether or not the specific rest situation is present at each of the first predetermined times, and classifies the sensor information determined to be the specific rest situation into each type of the specific rest situation.
The state value calculation unit is the measurement target based on the sensor information corresponding to the time when the situation determination unit determines that the specific rest situation is present among the sensor information for each type of the specific rest situation. The mental and physical condition measuring device according to Appendix 1, which calculates and outputs a state value related to a person's physical condition.
[Appendix 3]
The state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject, an acute stress value indicating the degree of acute stress received by the measurement subject, and the degree of fatigue of the measurement subject. The mental and physical condition measuring device according to Appendix 1 or 2, which is one of the degree of stress indicating the degree of stress and the degree of concentration indicating the degree to which the person to be measured concentrates on a predetermined work.
[Appendix 4]
The mental and physical state according to any one of Supplementary note 1 to 3, further comprising a save selection unit for storing the state value and selecting the state value based on the state value output by the state value calculation unit. measuring device.
[Appendix 5]
The state value is a chronic stress value indicating the degree of stress that chronically accumulates in the measurement subject.
The mental and physical condition measuring device according to Appendix 1 or 2, wherein the state value calculation unit outputs the minimum value among the plurality of chronic stress values when a plurality of the chronic stress values are calculated within a predetermined period. [Appendix 6]
The state value is a chronic stress value indicating the degree of stress that chronically accumulates in the measurement subject.
The state value calculation unit includes the chronic stress value of the specific resting state including the minimum value among the calculated values of the chronic stress value detected for each type of the specific resting situation, and the specifying including the minimum value. The mental and physical condition measuring device according to Appendix 1 or 2, which outputs the chronic stress value of the other specific resting situation close to the resting state.
[Appendix 7]
The state value is a chronic stress value indicating the degree of stress that chronically accumulates in the measurement subject.
The state value calculation unit uses the calculated value of the chronic stress value corrected by using the questionnaire result for the measurement target person, or the calculated value of the chronic stress value by using the blood test result of the measurement target person. The mental and physical condition measuring apparatus according to Appendix 1 or 2, which outputs a corrected value or a calculated value of the chronic stress value using the questionnaire result for the measurement target person and the blood test result of the measurement target person. ..
[Appendix 8]
The state value is a chronic stress value indicating the degree of stress chronically accumulated in the measurement subject and an acute stress value indicating the degree of acute stress received by the measurement subject.
The mental and physical condition measuring device according to Appendix 1 or 2, wherein the state value calculation unit calculates and outputs the chronic stress value from the total value of the acute stress value and the chronic stress value.
[Appendix 9]
In addition to the sensor information, the status determination unit further uses at least one of the position information of the sensor that acquires the sensor information and the time information that the status determination unit acquires the sensor information. The mental and physical condition measuring device according to any one of Supplementary note 1 to 8, which determines whether or not it is a specific resting state at each predetermined time.
[Appendix 10]
The mental and physical condition measuring device according to any one of Supplementary note 1 to 9, further comprising a notification unit for notifying the suitability of the state value based on the state value output by the state value calculation unit.
[Appendix 11]
Based on the sensor information about the measurement target person, whether or not the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person are at rest, or a quasi-resting state in which the state is similar to the resting state. A situation determination step for determining whether or not the information is made every predetermined time, and
Of the sensor information, the state value calculation for calculating and outputting the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination step. Psychiatric and physical condition measurement methods including steps.
[Appendix 12]
Based on the sensor information about the measurement target person, whether or not the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person are at rest, or a quasi-resting state in which the state is similar to the resting state. A situation determination step for determining whether or not the information is made every predetermined time, and
Of the sensor information, the state value calculation for calculating and outputting the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination step. A mental and physical condition measurement program that allows a computer to perform processing including steps.
[Appendix 13]
Based on the sensor information about the measurement target person, whether or not the measurement target person falls under a specific resting state, which is either a resting state in which the mind and body of the measurement target person are at rest, or a quasi-resting state in which the state is similar to the resting state. A situation determination step for determining whether or not the information is made every predetermined time, and
Of the sensor information, the state value calculation for calculating and outputting the state value related to the physical condition of the measurement target person based on the sensor information corresponding to the time determined to be the specific resting state by the situation determination step. A storage medium that stores a mental and physical condition measurement program that causes a computer to perform processing including steps.

Although the present invention has been described above with reference to the embodiments (and examples), the present invention is not limited to the above embodiments (and examples). Various changes that can be understood by those skilled in the art can be made within the scope of the present invention in terms of the configuration and details of the present invention.
This application claims priority on the basis of Japanese Application Japanese Patent Application No. 2016-144839 filed on 22 July 2016 and incorporates all of its disclosures herein.

10 Sensor 20 Situation judgment unit 30 Status value calculation unit 40 Storage selection unit 50 Notification unit 1000, 1000A Mental and physical condition measuring device

Claims (7)

Based on the acceleration value of the measurement target person, whether the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person is resting, or a quasi-resting state in which the measurement target person is in a state similar to the resting state. A situation determination unit that determines whether or not it is at each first predetermined time, and classifies the value of the acceleration determined to be the specific rest situation for each type of the specific rest situation .
For each type of the specific rest situation, the state value regarding the physical condition of the measurement target person is determined based on the sensor information about the measurement target person corresponding to the time determined by the situation determination unit to be the specific rest situation. The state value calculation unit that calculates and outputs , and
A storage selection unit for storing the state value and selecting the state value based on the state value output by the state value calculation unit and a threshold value set in advance for each state value is provided.
The state value is a mental and physical state measuring device which is a chronic stress value indicating the degree of stress chronically accumulated in the measurement target person. The mental and physical condition measuring device according to claim 1 , wherein the storage selection unit outputs the minimum value among the plurality of chronic stress values when a plurality of the chronic stress values are calculated within a predetermined period. Among the calculated values of the chronic stress values detected for each type of the specific rest situation, the storage selection unit includes the chronic stress value of the specific rest situation including the minimum value and the specific rest including the minimum value. The mental and physical condition measuring device according to claim 1 or 2 , which outputs the chronic stress value of the specific resting situation that is close to the situation. The storage selection unit corrects the calculated value of the chronic stress value by using the questionnaire result for the measurement target person, or corrects the calculated value of the chronic stress value by using the blood test result of the measurement target person. The value according to any one of claims 1 to 3 for outputting the calculated value or the calculated value of the chronic stress value corrected by using the questionnaire result for the measurement target person and the blood test result of the measurement target person. Mental and physical condition measuring device. The claim is characterized in that the state value calculation unit calculates and outputs the chronic stress value from the total value of the acute stress value indicating the degree of acute stress received by the measurement subject and the chronic stress value. The mental and physical condition measuring device according to any one of items 1 to 4 . Based on the acceleration value of the measurement target person, whether the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person is resting, or a quasi-resting state in which the measurement target person is in a state similar to the resting state. A situation determination step in which it is determined at each first predetermined time, and the value of the acceleration determined to be the specific rest situation is classified for each type of the specific rest situation .
For each type of the specific rest situation, the state value related to the physical condition of the measurement target person is calculated and output based on the sensor information corresponding to the time when the specific rest situation is determined by the situation determination step. State value calculation step and
It includes a save selection step of saving the state value and selecting the state value based on the state value output by the state value calculation step and the threshold value set in advance for each state value .
The state value is a method for measuring a mental and physical state, which is a chronic stress value indicating the degree of stress that chronically accumulates in the person to be measured. Based on the acceleration value of the measurement target person, whether the measurement target person corresponds to a specific resting state, which is either a resting state in which the mind and body of the measurement target person is resting, or a quasi-resting state in which the measurement target person is in a state similar to the resting state. A situation determination step in which it is determined at each first predetermined time, and the value of the acceleration determined to be the specific rest situation is classified for each type of the specific rest situation .
The measurement target person, which is a state value related to the physical condition of the measurement target person, based on the sensor information corresponding to the time when the specific rest situation is determined by the situation determination step for each type of the specific rest situation. A state value calculation step that calculates and outputs a chronic stress value that indicates the degree of stress that accumulates chronically in
A process including a save selection step of saving the state value and selecting the state value based on the state value output by the state value calculation step and the threshold value set in advance for each state value is performed on the computer. A mental and physical condition measurement program to be performed.

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