Wearable terminal and information processing device

Abstract

To provide a wearable terminal capable of notifying the possibility of onset of heat stroke due to load stack for a long time, and an information processing device.SOLUTION: A wearable terminal includes a sensor, a first comparison part, an integration processing part, a second comparison part, and an alarm part. The sensor acquires a biological information of a user and environment information on environment around the user. The first comparison part performs comparison with a first threshold respectively corresponding to the biological information and the environment information acquired by the sensor. The integration processing part respectively integrates biological information and environment information corresponding to a prescribed integration object condition. The second comparison part performs comparison with a second threshold respectively corresponding to an integrated value of the biological information and an integrated value of the environment information calculated by the integration processing part. The alarm part issues an alarm if there is the first threshold or more between the biological information and the environment information or if there is the second threshold or more between the integrated value of the biological information and the integrated value of the environment information.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] An embodiment of the present invention relates to a wearable terminal and an information processing device. [Background technology]

[0002] Conventionally, devices that warn users of the risk of heat stroke in order to prevent heat stroke have been known. In general, such devices warn that there is a risk of heat stroke when measured values ​​related to temperature, humidity, vital signs of the user such as heart rate, etc., or index values ​​calculated from these measured values, exceed a prescribed value. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2018-19821 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, even if the measured values ​​related to the environment or the user's vital signs, or the index values ​​calculated from the measured values, do not satisfy the conditions for issuing an alert, there may be cases where the condition continues for a long period of time and leads to heat stroke. In the conventional technology, the continuation of such a load for a long period of time has not been sufficiently taken into consideration. [Means for solving the problem]

[0005] A wearable terminal according to an embodiment includes a sensor, a first comparison unit, an integration processing unit, a second comparison unit, and an alarm unit. The sensor acquires biometric information of a user and environmental information related to an environment surrounding the user. The first comparison unit compares the biometric information and the environmental information acquired by the sensor with a first threshold value corresponding to each of them. The integration processing unit integrates the biometric information and the environmental information that meet a predetermined integration target condition. The second comparison unit compares the integrated value of the biometric information and the integrated value of the environmental information calculated by the integration processing unit with a second threshold value corresponding to each of them. The alarm unit issues an alarm when the biometric information and the environmental information are equal to or greater than the first threshold value, or when the integrated value of the biometric information and the integrated value of the environmental information are equal to or greater than the second threshold value. [Brief description of the drawings]

[0006] [Figure 1] FIG. 1 is a diagram illustrating an example of the appearance of a wearable terminal according to the first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of the wearable terminal according to the first embodiment. [Diagram 3] FIG. 3 is a functional block diagram illustrating an example of functions of the wearable terminal according to the first embodiment. [Figure 4] FIG. 4 is a graph showing an example of measurement data of temperature according to the first embodiment. [Diagram 5] FIG. 5 is a graph showing an example of measurement data of a pulse rate according to the first embodiment. [Figure 6] FIG. 6 is a graph showing an example of a calculation result of an amount of exercise activity according to the first embodiment. [Figure 7] FIG. 7 is a graph showing an example of measurement data of blood flow values ​​according to the first embodiment. [Figure 8] FIG. 8 is a graph showing an example of an integration result of temperature measurement data according to the first embodiment. [Figure 9] FIG. 9 is a flowchart showing an example of the flow of a heat stroke risk notification process according to the first embodiment. [Figure 10]FIG. 10 is a functional block diagram illustrating an example of functions of the wearable terminal according to the second embodiment. [Figure 11] FIG. 11 is a diagram illustrating an example of a configuration of an information system according to the third embodiment. As shown in FIG. [Figure 12] FIG. 12 is a functional block diagram illustrating an example of functions of the server device according to the third embodiment. [Figure 13] FIG. 13 is a diagram illustrating an example of a configuration of an information system according to the second modification. As shown in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0007] (First embodiment)

[0008] Fig. 1 is a diagram showing an example of the appearance of a wearable terminal 10 according to the first embodiment. In the example shown in Fig. 1, the wearable terminal 10 has a wristwatch-like shape that can be worn on the wrist of a subject. In this embodiment, the subject wearing the wearable terminal 10 is also referred to as a user.

[0009] A user wearing the wearable terminal 10 of this embodiment is, for example, a worker who works outdoors or indoors as part of his / her job. For example, the user wears the wearable terminal 10 at the start of work and removes the wearable terminal 10 at the end of work. In addition, the wearable terminal 10 of this embodiment issues an alert when the user wearing the wearable terminal 10 is at high risk of developing heatstroke.

[0010] The wearable terminal 10 includes, for example, a main body 100 and belts 20A and 20B. The belts 20A and 20B can be worn on the user's body. For example, the belts 20A and 20B have plasticity and can be fixed to the user's arm. The belts 20A and 20B are an example of a wearing member in this embodiment. The main body 100 is provided with fixing parts 21A and 21B for fixing the belts 20A and 20B. In the wearable terminal 10 of this embodiment, the belts 20A and 20B are detachable from the main body 100, and the belts 20A and 20B can be removed from the fixing parts 21A and 21B by a user's operation. Note that the belts 20A and 20B may not be included in the wearable terminal 10. In this case, the main body 100 is referred to as the wearable terminal 10. Alternatively, the belts 20A and 20B may be formed integrally with the main body 100.

[0011] The shape of the wearable terminal 10 shown in FIG. 1 is just an example, and other shapes are also possible as long as the terminal can be worn on the user's body.

[0012] The main body 100 is also provided with a display 13, an operation unit 14, a speaker 15, various sensors, etc. Other components of the wearable terminal 10 will be described with reference to FIG.

[0013] In this embodiment, it is assumed that the wearable device 10 is worn by a human being, but the wearable device may be worn by a non-human living being, for example, an animal such as a dog, a cat, or a livestock. The shape of the wearable device 10 is not limited to a wristwatch type, and may be a type attached to clothing, a glasses type, a collar type, or the like.

[0014] FIG. 2 is a diagram illustrating an example of a hardware configuration of the wearable terminal 10 according to the first embodiment.

[0015] The main body 100 of the wearable terminal 10 is provided with sensors that acquire at least the user's biometric information and environmental information related to the user's surrounding environment. The user's biometric information is, for example, the user's vital signs. The vital signs are, for example, the pulse rate and blood circulation value. The environmental information is, for example, the temperature and humidity around the user. The main body 100 may further be provided with a sensor that acquires behavioral information related to the user's behavior. The behavioral information is, for example, the user's acceleration and angular velocity, but may be any information related to the user's behavior, and may include the number of steps, the distance traveled, etc.

[0016] In this embodiment, the wearable terminal 10 includes, for example, a temperature sensor 121, a humidity sensor 122, a pulse sensor 123, an acceleration sensor 124, an angular acceleration sensor 125, an atmospheric pressure sensor 126, a geomagnetic sensor 127, and a blood flow / circulation sensor 128.

[0017] Furthermore, the temperature sensor 121, humidity sensor 122, pulse sensor 123, acceleration sensor 124, angular acceleration sensor 125, air pressure sensor 126, geomagnetic sensor 127, and blood flow / circulation sensor 128 are collectively referred to as sensor 12. The sensor 12 in this embodiment is included in the main body 100.

[0018] The temperature sensor 121 measures the temperature around the subject. The temperature measured by the temperature sensor 121 is also called the ambient temperature when it is to be distinguished from the general air temperature or room temperature. The temperature sensor 121 may also measure the outer shell temperature such as the skin temperature or body surface temperature of the subject.

[0019] The humidity sensor 122 measures the humidity around the subject. The humidity measured by the humidity sensor 122 is also called ambient humidity when it is to be distinguished from general outdoor humidity or indoor humidity.

[0020] The pulse sensor 123 measures the pulse of the subject. The method of measuring the pulse is not particularly limited, but the pulse sensor 123 may be, for example, a photoplethysmogram (PPG) sensor that detects pulse waves associated with the heartbeat by measuring changes in the blood volume of arteries and capillaries corresponding to changes in heart rate.

[0021] The acceleration sensor 124 measures acceleration accompanying the movement of the subject. For example, the acceleration sensor 124 is a three-axis acceleration sensor that measures acceleration in three directions, that is, the X direction, the Y direction, and the Z direction.

[0022] The angular acceleration sensor 125 measures angular acceleration accompanying the movement of the subject. The angular acceleration sensor 125 is, for example, a gyro sensor. Note that only one of the acceleration sensor 124 and the angular acceleration sensor 125 may be provided.

[0023] Moreover, the air pressure sensor 126 measures the air pressure. Instead of the air pressure sensor 126, an altitude sensor may be provided.

[0024] The geomagnetic sensor 127 measures the geomagnetism. The geomagnetic sensor 127 is also called an electronic compass.

[0025] The blood flow / circulation sensor 128 measures the movement of blood (blood flow value) in the blood vessels of the subject. The blood flow value is also called the blood circulation value. A known method can be adopted for measuring the blood flow value. Generally, it is believed that there is a correlation between the blood flow value and the amount of sweating, so that if the temperature and humidity conditions are constant, it is estimated that the higher the blood flow value, the greater the amount of sweating. In general, the more sweating, the greater the risk of heat stroke, since more water is lost from the body.

[0026] The pulse and blood circulation value are examples of the subject's vital signs. The measurement data of the pulse measured by the pulse sensor 123 and the measurement data of the blood circulation value measured by the blood flow / blood circulation sensor 128 are examples of biological information in this embodiment.

[0027] Moreover, the measurement data of the temperature measured by the temperature sensor 121 and the measurement data of the humidity measured by the humidity sensor 122 are examples of environmental information in this embodiment. The environmental information may also include measurement data of atmospheric pressure measured by the atmospheric pressure sensor 126. Furthermore, the environmental information may also include measurement data of air temperature or room temperature measured by an environmental temperature sensor 31 (described later) provided outside the wearable terminal 10, or measurement data of outdoor humidity or indoor humidity measured by an environmental humidity sensor 32 (described later).

[0028] The environmental information may further include information about the weather in the area where the wearable terminal 10 is used. The information about the weather includes information about the weather, such as sunny, rainy, cloudy, etc., or information about the amount of solar radiation, etc.

[0029] The measurement data of acceleration measured by the acceleration sensor 124 and the measurement data of angular acceleration measured by the angular acceleration sensor 125 are information on the user's behavior, and are an example of behavioral information in this embodiment. The behavioral information may further include measurement data of geomagnetism measured by the geomagnetic sensor 127, and measurement data of atmospheric pressure or altitude measured by the atmospheric pressure sensor 126 or the altitude sensor.

[0030] The wearable terminal 10 also includes a processor 11, a display 13, an operation unit 14, a speaker 15, a memory unit 16, a motor 18, and a wireless communication device 17.

[0031] The processor 11 is a control device such as a CPU (Central Processing Unit), and controls the wearable terminal 10 as a whole.

[0032] The display 13 is a liquid crystal display, an organic electro-luminescence (OEL) display, or the like, and displays various information under the control of the processor 11. The display 13 is also referred to as a display unit.

[0033] The operation unit 14 is a button or a touch panel that can accept operations by the user. When the operation unit 14 is a touch panel, the wearable terminal 10 may have a touch screen including the display 13 and the operation unit 14. When the wearable terminal 10 has a voice recognition function, the operation unit 14 may be a microphone that can input commands by voice from the user.

[0034] The speaker 15, under the control of the processor 11, issues a notification by voice or sound.

[0035] The storage unit 16 is a storage device such as a flash memory, a ROM (Read Only Memory), or a RAM (Random Access Memory). Although the storage unit 16 is illustrated as a single component in FIG. 2, a plurality of storage devices may be provided.

[0036] The wireless communication device 17 is a device capable of transmitting and receiving information to and from devices other than the wearable terminal 10 via wireless communication. The wireless communication standard is not particularly limited. For example, Wi-Fi (registered trademark) or Bluetooth (registered trademark) can be adopted. The wireless communication device 17 of this embodiment receives measurement data of environmental temperature and measurement data of environmental humidity from, for example, an environmental temperature sensor 31 and an environmental humidity sensor 32.

[0037] Furthermore, the wireless communication device 17 may transmit and receive information to and from an information processing device such as a PC (Personal Computer), a server device, or a smartphone via wireless communication.

[0038] The motor 18 is a driving device used for the vibrator function, and causes the wearable terminal 10 to vibrate.

[0039] The environmental temperature sensor 31 is, for example, a thermometer that measures the temperature of the environment in which the subject wearing the wearable terminal 10 is active. In this embodiment, the temperature measured by the environmental temperature sensor 31 is called the environmental temperature to distinguish it from the ambient temperature measured by the temperature sensor 121 included in the wearable terminal 10. When the subject is active outdoors, the environmental temperature is the outdoor air temperature. When the subject is active indoors, the environmental temperature is the room temperature in the room where the subject is present.

[0040] The environmental humidity sensor 32 is, for example, a hygrometer that measures the humidity of the environment in which the subject wearing the wearable terminal 10 is active. In this embodiment, the humidity measured by the environmental humidity sensor 32 is called environmental humidity to distinguish it from the ambient humidity measured by the humidity sensor 122 included in the wearable terminal 10. When the subject is active outdoors, the environmental humidity is the outdoor humidity. When the subject is active indoors, the environmental humidity is the humidity in the room where the subject is present.

[0041] The wireless communication device 17 may further receive weather information of the area in which the wearable terminal 10 is used from an information processing device such as a PC, a server device, or a smartphone. The wireless communication device 17 may also receive environmental temperature and environmental humidity from these information processing devices.

[0042] Note that the configuration of the wearable terminal 10 shown in FIG. 2 is an example and is not limited thereto. For example, the wearable terminal 10 may further include other sensors 12. For example, the wearable terminal 10 may include a sweat sensor or a position information sensor such as a Global Positioning System (GPS). Furthermore, the wearable terminal 10 does not need to include all of the sensors 12 shown in FIG. 2. In this embodiment, the wearable terminal 10 includes at least a temperature sensor 121, a humidity sensor 122, a pulse sensor 123, an acceleration sensor 124, and a blood flow / circulation sensor 128.

[0043] In addition, in this embodiment, the wearable terminal 10 acquires measurement data of environmental temperature and measurement data of environmental humidity from the environmental temperature sensor 31 and the environmental humidity sensor 32, but it is also possible to use only the measurement data from the sensor 12 built into the wearable terminal 10 without using these measurement data.

[0044] Next, the functions of the wearable terminal 10 in this embodiment will be described in detail.

[0045] Fig. 3 is a functional block diagram showing an example of functions of the wearable terminal 10 according to the first embodiment. As shown in Fig. 3, the wearable terminal 10 includes an acquisition unit 101, a calculation unit 102, a first comparison unit 103, a storage processing unit 104, an accumulation processing unit 105, a second comparison unit 106, an alarm issuing unit 107, and a deletion unit 108.

[0046] The acquiring unit 101 acquires measurement data of temperature, humidity, pulse, acceleration, angular acceleration, atmospheric pressure, geomagnetism, and blood flow value from the sensor 12. The acquiring unit 101 also acquires measurement data of environmental temperature and measurement data of environmental humidity from the environmental temperature sensor 31 and the environmental humidity sensor 32 via the wireless communication device 17.

[0047] In this embodiment, the acquisition unit 101 acquires measurement data from the sensor 12 at a specified time interval. The specified time interval is, for example, one second, but is not limited to this.

[0048] The calculation unit 102 calculates an index value for determining whether or not heat stroke has occurred from the various types of measurement data acquired by the acquisition unit 101 .

[0049] For example, the calculation unit 102 calculates the amount of exercise of the user based on the measurement data of the user's acceleration or angular acceleration. The amount of exercise is an example of an index value in this embodiment. For example, the calculation unit 102 estimates the user's movement from the measurement data of the user's acceleration or angular acceleration, and calculates the amount of exercise of the user based on the estimated movement. The unit of the amount of exercise is not particularly limited. In addition, the method of estimating the user's movement and the method of calculating the amount of exercise are not particularly limited, but for example, a table that defines the movement corresponding to the acceleration or angular acceleration may be stored in the storage unit 16. In this case, the calculation unit 102 calculates the amount of exercise of the user by referring to the acquired measurement data of the user's acceleration or angular acceleration and the table. In addition, the calculation unit 102 may estimate the distance traveled by the user from the measurement data of the air pressure, altitude, or geomagnetism, and calculate the amount of exercise of the user.

[0050] The index value is not limited to the amount of exercise, and may include, for example, WBGT (Wet-Bulb Globe Temperature). In this case, the calculation unit 102 may calculate WBGT based on the measurement data of the environmental temperature and the measurement data of the environmental humidity acquired from the environmental temperature sensor 31 and the environmental humidity sensor 32. In this embodiment, the index value is calculated on the wearable terminal 10 side, but the acquisition unit 101 may acquire an index value such as WBGT from another information processing device or the like. In this case, the environmental information, biological information, and behavioral information include not only the measurement data but also the index value.

[0051] Next, a description will be given of the first comparing section 103. In this embodiment, the first comparing section 103 compares the instantaneous values ​​of the measurement data and the instantaneous values ​​of the index value with the corresponding threshold values ​​for the instantaneous values.

[0052] The instantaneous value of the measurement data is, for example, one measurement data by the sensor 12. The instantaneous value of the index value is an index value based on the one measurement data. The instantaneous value of the index value may not only be calculated from one measurement data, but may also be an index value based on measurement data for a predetermined unit period or unit number of times. The predetermined unit period is shorter than the period that satisfies the predetermined integration target condition described below, for example, several minutes. The unit number of times is smaller than the number of measurements that satisfies the predetermined integration target condition described below.

[0053] The threshold for the instantaneous values ​​of the measurement data and index value indicates the value of the measurement data and index value at which the risk of heat stroke occurs. For example, an example of measurement data is temperature, and the threshold for the instantaneous value of temperature is 32°C. Note that the threshold for the instantaneous values ​​of each measurement data and each index value is set to a different value in advance for each measurement data and each index value. In this embodiment, the threshold for the instantaneous values ​​of each measurement data and each index value is stored in the storage unit 16 in advance. The threshold for the instantaneous value is an example of a first threshold in this embodiment.

[0054] As described above, the biological information is measurement data of vital signs such as pulse rate, blood flow values, etc. The environmental information includes measurement data of the temperature and humidity around the user.

[0055] In the present embodiment, the first comparison unit 103 also compares the behavioral information and the index value calculated from the behavioral information with the instantaneous value threshold. For example, the first comparison unit 103 compares the amount of exercise of the user with the instantaneous value threshold of the amount of exercise.

[0056] For example, if a single measurement data of the biological information, environmental information, and behavioral information or an index value based on the single measurement data is equal to or greater than a threshold value for instantaneous values, the alarm unit 107 described below will alarm that there is a risk of heatstroke.

[0057] In addition, the thresholds for the instantaneous values ​​of each measurement data and index value may change in conjunction with the measurement data or index value. For example, the higher the measurement data value of temperature or humidity, the lower the threshold for the instantaneous value of the pulse or blood flow value. In addition, the threshold for the integrated value, which will be described later, may also change in conjunction with the measurement data or index value.

[0058] The save processing unit 104 saves the bioinformation, environmental information, behavioral information, and index value in the storage unit 16 when any of the bioinformation, environmental information, behavioral information, and index value is less than the threshold value for the instantaneous value.

[0059] Furthermore, when any of the biometric information, environmental information, behavioral information, and index values ​​calculated from these pieces of information is equal to or greater than the threshold value for instantaneous values, that is, when the conditions for an alarm by the alarm issuing unit 170 described below are satisfied, the saving processing unit 104 of this embodiment does not save these pieces of information in the storage unit 16. Note that the saving processing unit 104 may save the biometric information, environmental information, behavioral information, and index values ​​in the storage unit 16 regardless of whether the biometric information, environmental information, behavioral information, and index values ​​calculated from these pieces of information are equal to or greater than the threshold value for instantaneous values.

[0060] The integration processing unit 105 integrates the bioinformation, environmental information, behavioral information, and index values ​​calculated from these pieces of information that meet a predetermined integration target condition. In this embodiment, the integration processing unit 105 executes integration when none of the bioinformation, environmental information, behavioral information, and index values ​​calculated from these pieces of information is equal to or greater than the instantaneous value threshold.

[0061] The predetermined integration target condition is, for example, that the measurement data is measured within a predetermined period in the past, or that the index value is calculated from the measurement data. The predetermined period is, for example, the past two hours from the time when the latest measurement data was acquired. This is because, in general, a worker's work schedule includes a break at least every two hours.

[0062] The predetermined integration target condition may be defined by the number of measurements instead of a period. For example, the integration processing unit 105 may integrate past measurement data for a predetermined number of measurements from the acquisition of the latest measurement data and an index value calculated from the measurement data. The sensor 12 of this embodiment performs measurement once per second, for example. In this case, the measurement data for the past 7200 times from the latest measurement data at the time of execution of the comparison process by the second comparison unit 106 is integrated. The length of the specified integration time or the number of measurements may be changed according to the work schedule of the user wearing the wearable terminal 10.

[0063] More specifically, the integration processing unit 105 calculates the sum of the data for the past two hours for each type of measurement data and index value. For example, the integration processing unit 105 sums up the measurement data of temperature for the past two hours stored in the storage unit 16. The integration result of the measurement data of temperature is the sum of the measurement data of the ambient temperature measured by the temperature sensor 121 every second for the past two hours, that is, the past 7200 times. The integration result of the measurement data of humidity is the sum of the measurement data of the ambient humidity measured by the humidity sensor 122 every second for the past 7200 times. The integration result of the measurement data of the pulse is the sum of the measurement data of the pulse measured by the pulse sensor 123 every second for the past 7200 times. The integration result of the measurement data of the blood flow value is the sum of the measurement data of the blood flow value measured by the blood flow / blood circulation sensor 128 every second for the past 7200 times. The integration result of the index value is the cumulative value of the index value calculated from the measurement data. For example, the integrated result of the amount of exercise is a value obtained by adding up the amount of exercise calculated by the calculation unit 102 based on one measurement of the user's acceleration or angular acceleration for the past 7200 times.

[0064] When the amount of data stored in the storage unit 16 is less than two hours, the integration processing unit 105 integrates the data stored in the storage unit 16. When an alarm is issued by the alarm issuing unit 107 (described later), the integration processing unit 105 may exclude the measurement data measured before the alarm is issued and the index value calculated from the measurement data from the integration.

[0065] The second comparing unit 106 compares the biological information, the environmental information, and the behavioral information calculated by the integration processing unit 105, and the index values ​​calculated from these pieces of information, with the corresponding threshold values ​​for the integration values.

[0066] In this embodiment, the second comparing unit 106 does not compare the biological information, the environmental information, the behavior information, and the index value calculated from these pieces of information with the threshold for the integrated value when the biological information, the environmental information, the behavior information, and the index value calculated from these pieces of information are equal to or greater than the threshold for the instantaneous value. Note that the second comparing unit 106 may compare with the threshold for the integrated value regardless of the result of the comparison with the threshold for the instantaneous value.

[0067] The threshold for the integrated value is determined for each type of measurement data and index value. In this embodiment, the threshold for the integrated value for each type of measurement data and index value is stored in advance in the storage unit 16. The threshold for the integrated value is an example of the second threshold in this embodiment.

[0068] The alarm unit 107 issues an alarm to notify the user of the risk of heat stroke when any of the biological information, the environmental information, the behavioral information, and the index values ​​calculated from these pieces of information exceeds a threshold value for instantaneous values.The alarm unit 107 also issues an alarm when any of the integrated results of the biological information, the environmental information, the behavioral information, and the index values ​​calculated from these pieces of information exceeds a threshold value for integrated values.

[0069] The conditions for issuing a heat stroke alert are not limited to the above. For example, the alert issuing unit 107 may issue an alert when the measurement data or index value is equal to or greater than the instantaneous value threshold value for a predetermined number of consecutive times.

[0070] The alarm unit 107 may also issue an alarm when all of the measurement data or index values ​​of a specific combination are simultaneously equal to or greater than the threshold value for the instantaneous value. For example, the alarm unit 107 may issue an alarm when the measurement data of the ambient temperature, the measurement data of the ambient humidity, the measurement data of the pulse rate, and the amount of exercise are all equal to or greater than the threshold value for each instantaneous value. The alarm unit 107 may also issue an alarm when the integration result of the measurement data of the ambient temperature, the integration result of the measurement data of the ambient humidity, the integration result of the measurement data of the pulse rate, and the integration result of the amount of exercise are all equal to or greater than the threshold value for each integration value.

[0071] The method of issuing a warning is, for example, sound, display of an image or text, or vibration. For example, the warning unit 107 notifies the user of the risk of heat stroke by outputting a voice message or a warning sound from the speaker 15 to encourage the user to take a break or drink water. The warning unit 107 may also notify the user of the risk of heat stroke by displaying a message on the display 13 to encourage the user to take a break or drink water. The warning unit 107 may also notify the user of the risk of heat stroke by controlling the motor 18 to vibrate the wearable terminal 10. The warning unit 107 may execute a combination of a plurality of warning methods. Note that the warning methods are not limited to these. For example, the warning unit 107 may notify the user of the risk of heat stroke by turning on or blinking an LED (Light Emitting Diode) lamp (not shown). In addition, the alarm unit 107 may transmit information indicating the risk of a user wearing the wearable terminal 10 suffering from heat stroke to an information processing device such as a PC, a server device, or a smartphone via the wireless communication device 17.

[0072] The deletion unit 108 deletes measurement data or index values ​​for which a predetermined period of time has passed from the storage unit 16. For example, the deletion unit 108 deletes measurement data for which two hours have passed since acquisition or index values ​​calculated from the measurement data from the storage unit 16. The deletion unit 108 may also delete measurement data or index values ​​measured before a predetermined number of measurements. In this embodiment, the deletion process is automatically performed by the deletion unit 108, but the user may also perform the deletion operation. Alternatively, a configuration may be adopted in which the measurement data or index values ​​continue to be stored even after a specified cumulative time has passed. Furthermore, the measurement data or index values ​​for which a predetermined period of time has passed may not be deleted and may continue to be stored in the storage unit 16.

[0073] Next, the measurement data and the index values ​​will be described in detail.

[0074] Fig. 4 is a graph showing an example of temperature measurement data according to the first embodiment. More specifically, Fig. 4 shows measurement data of the ambient temperature for two hours measured by the temperature sensor 121. The horizontal axis of the graph shown in Fig. 4 indicates the number of measurements, and the vertical axis indicates temperature (°C). Note that the horizontal axis of the graph may be a timestamp indicating the time of measurement instead of the number of measurements.

[0075] 4, 32° C. is set as the threshold for the instantaneous value of temperature. The threshold for the instantaneous value of temperature is also called a first temperature threshold. When the instantaneous value of the measurement data of the ambient temperature, that is, the measurement data of the ambient temperature for one time, becomes 32° C. or more, the alarm unit 107 issues an alarm to notify the user of the risk of heat stroke.

[0076] Moreover, if the measurement data of the ambient temperature is less than 32° C., it is not subject to notification by the notification unit 107. In this case, the measurement data of the ambient temperature is stored in the memory unit 16 by the storage processing unit 104. In the example shown in FIG. 4, all of the ambient temperatures measured over a two-hour period are less than 32° C., so that all of the measurement data for the two hours is stored in the memory unit 16.

[0077] Fig. 5 is a graph showing an example of pulse measurement data according to the first embodiment. More specifically, Fig. 5 shows two hours' worth of pulse measurement data measured by the pulse sensor 123. The horizontal axis of the graph shown in Fig. 5 shows the number of measurements, and the vertical axis shows the pulse rate (beats per minutes: bpm). The threshold value for the instantaneous value of the pulse shown in Fig. 5 is also called a first pulse threshold value.

[0078] Fig. 6 is a graph showing an example of a calculation result of an amount of exercise according to the first embodiment. More specifically, Fig. 6 shows a calculation result of an amount of exercise for two hours calculated as an index value by the calculation unit 102. The horizontal axis of the graph shown in Fig. 6 shows the number of calculations, and the vertical axis shows the magnitude of the amount of exercise. The threshold value for the instantaneous value of the amount of exercise shown in Fig. 6 is also called a first amount of exercise threshold.

[0079] FIG. 7 is a graph showing an example of measurement data of blood flow values ​​according to the first embodiment. More specifically, FIG. 7 shows measurement data of blood flow values ​​for two hours measured by the blood flow / blood circulation sensor 128. The horizontal axis of the graph shown in FIG. 7 indicates the number of measurements, and the vertical axis indicates, for example, the amount of blood flowing per second (ml). Note that, although the unit of blood flow is usually ml / min based on one minute, in this embodiment, a value converted to a unit of one second may be used. The threshold value for the instantaneous value of blood flow values ​​shown in FIG. 7 is also called a first blood flow threshold value.

[0080] Fig. 8 is a graph showing an example of an integration result of temperature measurement data according to the first embodiment. While the graph shown in Fig. 4 shows the values ​​of individual measurement data, the example shown in Fig. 8 shows an integration result of the measurement data for the past 7200 times from the present time.

[0081] As shown in Fig. 8, a threshold for the integrated value, which is different from the threshold for the instantaneous value, is set for the integrated result of the temperature measurement data. The threshold for the instantaneous value of the temperature is also called a second temperature threshold. In the example shown in Fig. 8, the integrated result reaches the integrated temperature threshold when 7200 pieces of measurement data have been integrated. In this case, the wave port 107 issues an alert after 7200 pieces of measurement data have been integrated.

[0082] The measurement data, index values, integration results, and threshold values ​​shown in FIGS. 4 to 8 are merely examples, and the present invention is not limited to these.

[0083] Next, a flow of a process for issuing a warning about the risk of heat stroke executed by the wearable device 10 of this embodiment configured as above will be described.

[0084] FIG. 9 is a flowchart showing an example of the flow of a heat stroke risk notification process according to the first embodiment.

[0085] First, the acquisition unit 101 acquires measurement data from the sensor 12 (S1).

[0086] Furthermore, the acquiring unit 101 acquires the measurement data of the environmental temperature and the measurement data of the environmental humidity from the environmental temperature sensor 31 and the environmental humidity sensor 32 via the wireless communication device 17 (S2).

[0087] Next, the calculation unit 102 calculates an index value for determining heat stroke from the various measurement data acquired by the acquisition unit 101 (S3). For example, the calculation unit 102 calculates the amount of exercise of the user based on the measurement data of the user's acceleration or angular acceleration.

[0088] Then, the first comparison unit 103 compares the measurement data and the index value with the threshold value for each instantaneous value. For example, in this embodiment, the first comparison unit 103 compares the measurement data of the ambient temperature, the measurement data of the ambient humidity, the measurement data of the pulse rate, the measurement data of the blood flow value, the measurement data of the environmental temperature, the measurement data of the environmental humidity, and the amount of exercise calculated by the calculation unit 102 with the threshold value for the instantaneous value determined according to each data.

[0089] If at least one of the measurement data of the ambient temperature, the measurement data of the ambient humidity, the measurement data of the pulse rate, the measurement data of the blood flow value, the measurement data of the environmental temperature, the measurement data of the environmental humidity, and the amount of exercise calculated by the calculation unit 102 is equal to or greater than the threshold value for the instantaneous value determined according to each data (S4 "Yes"), the alarm issuing unit 107 issues an alarm of the risk of heat stroke (S5). For example, if the measurement data of one time or per unit time of the temperature acquired by the acquisition unit 101 is equal to or greater than the threshold value for the instantaneous value of the temperature, the alarm issuing unit 107 issues an alarm. In this case, the process of this flowchart ends. The alarm issuing unit 107 may continue to issue an alarm until the user operates the operation unit 14 to stop the alarm.

[0090] Furthermore, if all of the ambient temperature measurement data, ambient humidity measurement data, pulse rate measurement data, blood flow value measurement data, environmental temperature measurement data, environmental humidity measurement data, and the amount of exercise calculated by the calculation unit 102 are less than the instantaneous value threshold value determined for each data (S4 "No"), the storage processing unit 104 stores the ambient temperature measurement data, ambient humidity measurement data, pulse rate measurement data, blood flow value measurement data, environmental temperature measurement data, environmental humidity measurement data, and amount of exercise in the memory unit 16 (S6).

[0091] Next, the integration processing unit 105 executes an integration process of the measurement data and index values ​​for a predetermined integration period (S7). For example, the integration processing unit 105 executes an integration process of the measurement data and index values ​​for the past two hours.

[0092] Then, the second comparing unit 106 compares the integration results of the measurement data or index values ​​for the past integration period with the threshold values ​​for each integration value.

[0093] For example, the second comparison unit 106 compares the integrated value of the measurement data of the ambient temperature, the integrated value of the measurement data of the ambient humidity, the integrated value of the measurement data of the pulse rate, the integrated value of the measurement data of the blood flow value, the integrated value of the measurement data of the environmental temperature, the integrated value of the measurement data of the environmental humidity, and the integrated value of the amount of exercise, from the present to two hours ago, with a threshold value for the integrated value determined for each data.

[0094] If at least one of the integrated value of the measurement data of the ambient temperature, the integrated value of the measurement data of the ambient humidity, the integrated value of the measurement data of the pulse rate, the integrated value of the measurement data of the blood flow value, the integrated value of the measurement data of the environmental temperature, the integrated value of the measurement data of the environmental humidity, and the integrated value of the amount of exercise during the past two hours is equal to or greater than the threshold value for the integrated value determined for each data (S8 "Yes"), the process proceeds to S5, and the alarm issuing unit 107 issues an alarm of the risk of heat stroke. Note that the alarm issuing unit 107 may change the content or method of the alarm between the alarm based on the comparison result using the instantaneous value and the alarm based on the comparison result using the instantaneous value.

[0095] Also, if all of the integrated values ​​of the measurement data of the ambient temperature, the integrated value of the measurement data of the ambient humidity, the integrated value of the measurement data of the pulse, the integrated value of the measurement data of the blood flow value, the integrated value of the measurement data of the environmental temperature, the integrated value of the measurement data of the environmental humidity, and the integrated value of the amount of exercise, from the present to two hours ago, are less than the threshold value for the integrated value determined for each data (S8 "No"), and if a predetermined time, for example, one second, has not elapsed since the previous measurement data was acquired (S9 "No"), the acquisition unit 101 waits until the predetermined time has elapsed. Also, if the predetermined time has elapsed since the previous measurement data was acquired (S9 "Yes"), the acquisition unit 101 returns to the process of S1 and acquires the next measurement data.

[0096] If a risk of heat stroke is not reported, the process of this flowchart continues to be executed while the wearable device 10 is running. The process of this flowchart may be started or ended by a user operation. For example, when taking a break in a cool place, the user may stop the process of this flowchart by operating the operation unit 14 at the start of the break, and start the process of this flowchart by operating the operation unit 14 at the end of the break.

[0097] In this flowchart, the acquisition process by the acquisition unit 101 and the comparison process using a threshold value for an instantaneous value or a threshold value for an integrated value are described as being executed in series, but the acquisition process by the acquisition unit 101 may be executed in parallel while the comparison process is being executed.

[0098] In addition, in this flowchart, the acquisition unit 101 acquires data from the environmental temperature sensor 31 and the environmental humidity sensor 32 at the same frequency as the acquisition of measurement data from the sensor 12, but the acquisition frequency from the environmental temperature sensor 31 and the environmental humidity sensor 32 may be lower than the frequency at which measurement data is acquired from the sensor 12.

[0099] In this way, the wearable terminal 10 of this embodiment issues an alert when any of the biological information and environmental information acquired by the sensor 12 exceeds the threshold value for each of the instantaneous values ​​of the biological information and the environmental information, or when any of the integrated results of the biological information and the environmental information exceeds the threshold value for each of the integrated results of the biological information and the environmental information. With this configuration, the wearable terminal 10 of this embodiment can make the user aware of the risk of heat stroke even if the instantaneous value of the biological information and the instantaneous value of the environmental information are below the threshold value for the instantaneous values, if the condition continues for a long period of time and there is a risk of heat stroke.

[0100] For example, although individual measurement data or index values ​​calculated from individual measurement data do not reach the threshold value of the heat stroke judgment criterion, there may be a risk of heat stroke if it continues for a long time. For this reason, when judging the risk of heat stroke based only on individual measurement data, it may be difficult to judge the possibility of a user having heat stroke with high accuracy. In particular, when a combination of instantaneous values ​​of multiple measurement data or index values ​​is set as a condition for issuing an alert, if any one of the conditions for issuing an alert cannot be met, an alert may not be issued even if the subject is sweating and there is a possibility that the subject will suffer from heat stroke if the condition continues. For example, even if the subject is moving vigorously and sweating profusely, if either the temperature or humidity is low, the condition may not be met and a heat stroke notification may not be issued. Alternatively, when the subject's amount of exercise is low or the subject is working while remaining stationary in one place, the subject may sweat profusely but have a low heart rate. In such cases, the individual measurement data may not be able to meet the conditions and a heat stroke notification may not be issued.

[0101] In general, in heavy work where the heart rate exceeds 140 due to carrying heavy objects or vigorous movement, the instantaneous value of the measured data or index value becomes large, so it is easy to appropriately notify the risk of heat stroke based on the instantaneous value. In addition, in light work with a low load where the heart rate is less than 130, it is easy to prevent heat stroke by taking regular breaks at normal time intervals. In contrast, in the case of moderate work where the heart rate is about 130 to 140, the instantaneous value threshold is not exceeded, so no heat stroke alert is issued, but there is a problem that heat stress accumulates and the worker becomes very tired at the end of the day or after working every day, which reduces work efficiency and increases the risk of accidents. In addition, if the frequency of breaks is uniformly increased to avoid such a situation, even workers who are not at risk of heat stroke will take breaks, which may reduce work efficiency.

[0102] In contrast, the wearable device 10 of the present embodiment issues a risk of heat stroke based on a comparison using an integrated value in addition to an instantaneous value, so that even if the risk of heat stroke cannot be detected from the instantaneous value, it can notify the user of the risk of heat stroke when the risk of heat stroke increases due to sweating caused by a long period of hot conditions or exercise. Therefore, the wearable device 10 of the present embodiment can encourage a worker to take a break or drink water at an appropriate timing according to the workload and working environment of each worker.

[0103] In addition, the wearable device 10 of this embodiment issues a risk of heat stroke using measurement data of the user's vital signs and measurement data of the temperature and humidity around the user. Therefore, the wearable device 10 of this embodiment can issue a risk of heat stroke at an appropriate timing according to the physical condition and working environment of each user.

[0104] Furthermore, the wearable terminal 10 of the present embodiment further acquires behavioral information related to the user's behavior, and issues a heatstroke risk alert based on the behavioral information in addition to the biological information and environmental information. Therefore, the wearable terminal 10 of the present embodiment can issue a heatstroke risk alert at an appropriate timing according to the workload of each individual user.

[0105] More specifically, the behavioral information of the present embodiment includes measurement data of the user's acceleration or angular acceleration. The wearable device 10 of the present embodiment calculates the user's amount of exercise based on the measurement data of the user's acceleration or angular acceleration. Therefore, the wearable device 10 of the present embodiment can issue a warning of the risk of heat stroke according to the amount of exercise of each individual user.

[0106] Moreover, the wearable terminal 10 of the present embodiment includes a plurality of sensors 12 that measure biological information, environmental information, and behavioral information. Therefore, according to the wearable terminal 10 of the present embodiment, the risk of heat stroke can be determined by the wearable terminal 10 alone.

[0107] In this embodiment, the information used to determine whether or not a person has heatstroke is merely an example, and is not limited to the above example. For example, in this embodiment, the wearable device 10 acquires biological information, environmental information, and behavioral information, but the risk of heatstroke may be determined using only biological information and environmental information.

[0108] Second embodiment In the above-described first embodiment, the instantaneous value threshold and the integrated value threshold are described as being set in advance. In this second embodiment, the instantaneous value threshold and the integrated value threshold are changeable by a subject wearing the wearable terminal 10 or an administrator who manages the subject.

[0109] Fig. 10 is a functional block diagram showing an example of functions of the wearable terminal 10 according to the second embodiment. As shown in Fig. 10, the wearable terminal 10 includes an acquisition unit 101, a calculation unit 102, a first comparison unit 103, a storage processing unit 104, an accumulation processing unit 105, a second comparison unit 106, an alarm issuing unit 107, a deletion unit 108, a reception unit 109, and a setting unit 110.

[0110] The acquisition unit 101, the calculation unit 102, the integration processing unit 105, the alarm issuing unit 107, and the deletion unit 108 have the same functions as those in the first embodiment.

[0111] The reception unit 109 receives an operation from a user via, for example, the operation unit 14 or the wireless communication device 17. The user in this embodiment includes a subject who wears the wearable terminal 10 or an administrator who manages the subject.

[0112] The user may operate the wearable terminal 10 by directly pressing the operation unit 14. The user may also operate the wearable terminal 10 by operating an information processing device such as a PC, a server device, or a smartphone that is connected to the wearable terminal 10 via the wireless communication device 17 and a network.

[0113] The reception unit 109 receives a user's operation for setting conditions for issuing a heat stroke risk alert. In this embodiment, setting conditions for issuing a heat stroke risk alert includes inputting or changing a threshold for an instantaneous value and a threshold for an integrated value. The reception unit 109 also receives a user's operation for setting whether or not to issue an alert when there is a possibility of heat stroke. When the alert is set to off, the alert unit 107 does not issue an alert even if the alert conditions are satisfied. The reception unit 109 may also receive a user's operation for individually turning on and off the alert based on a comparison using an instantaneous value and the alert based on a comparison using an integrated value.

[0114] The receiving unit 109 may also receive a user's operation to set a combination of measurement data and index values. For example, the alarm issuing unit 107 issues an alarm when all of the measurement data or index values ​​of the set combination are simultaneously equal to or greater than the threshold for instantaneous values, or when all of the integrated values ​​of the measurement data or integrated values ​​of the index values ​​of the set combination are simultaneously equal to or greater than the threshold for integrated values. Alternatively, the receiving unit 109 may receive an operation to set ON / OFF of the alarm based on the integration result by the second comparing unit 106.

[0115] For example, when multiple workers each wear a wearable device 10, the manager may change the conditions for issuing a warning about the risk of heat stroke to suit the work of each individual worker or group of multiple workers.

[0116] The setting unit 110 changes various settings in response to the user's operation received by the receiving unit 109. For example, the setting unit 110 sets a threshold for an instantaneous value and a threshold for an integrated value in response to the user's operation received by the receiving unit 109. For example, when the environmental information includes weather information of the area in which the wearable terminal 10 is used, the setting unit 110 changes the threshold for an instantaneous value or the threshold for an integrated value in response to the weather information. In addition, the setting unit 110 sets the on / off of an alarm in response to the user's operation received by the receiving unit 109.

[0117] Furthermore, the setting unit 110 may automatically set the threshold for the instantaneous value, the threshold for the integrated value, and the on / off of the alarm in accordance with the environmental information. For example, the setting unit 110 may turn off the alarm based on the integration result by the second comparison unit 106 when it is raining. Alternatively, when it is cloudy and the environmental temperature is low, it is generally difficult to satisfy the conditions for alarm, but there is a high possibility that the actual risk of heat stroke is high. For this reason, the setting unit 110 may turn on the alarm based on the integration result and reduce the threshold for the integrated value.

[0118] The first comparing unit 103 of this embodiment has the same functions as those of the first embodiment, and does not execute the comparison process when the alarm based on the instantaneous value is set to OFF.

[0119] The storage processing unit 104 of this embodiment has the same functions as the first embodiment, and when the alarm based on the accumulation result is set to off, the storage of the measurement data and index values ​​in the memory unit 16 is not performed regardless of the comparison result by the first comparison unit 103.

[0120] Further, the second comparing unit 106 of this embodiment has the same functions as those of the first embodiment, and does not execute the comparison process when the notification based on the integration result is set to OFF.

[0121] In this way, according to the wearable terminal 10 of this embodiment, the user's operation to set the threshold value for the instantaneous value and the threshold value for the integrated value is accepted, making it possible to change the settings in detail according to the situation, thereby improving the accuracy of determining the risk of heatstroke.

[0122] Furthermore, according to the wearable device 10 of the present embodiment, the conditions for issuing a warning about the risk of heat stroke can be automatically changed in accordance with environmental information, thereby reducing the effort required for the user to change settings.

[0123] In the present embodiment, the wearable terminal 10 has been described as having both a function of manual operation by the user and a function of automatic setting by the setting unit 110, but may have only one of these functions.

[0124] (Third embodiment) In the first and second embodiments described above, the wearable device 10 executes the processes of determining the risk of heat stroke and issuing a warning. In contrast, in this third embodiment, a higher-level device capable of wireless communication with the wearable device 10 executes these processes.

[0125] Fig. 11 is a diagram showing an example of a configuration of an information system S100 according to a third embodiment. As shown in Fig. 11, the information system S100 includes a plurality of wearable terminals 10a to 10n and a server device 30. The plurality of wearable terminals 10a to 10n and the server device 30 are connected via Wi-Fi (registered trademark), Bluetooth (registered trademark), or the like. Hereinafter, when there is no need to distinguish between the individual wearable terminals 10a to 10n, they will simply be referred to as wearable terminals 10.

[0126] In this embodiment, the server device 30 executes the comparison and reporting process based on the measurement data received from the wearable terminal 10. The server device 30 is an example of an information processing device in this embodiment.

[0127] Fig. 12 is a functional block diagram showing an example of functions of the server device 30 according to the third embodiment. As shown in Fig. 12, the server device 30 includes an acquisition unit 301, a calculation unit 302, a first comparison unit 303, a storage processing unit 304, an accumulation processing unit 305, a second comparison unit 306, an alarm unit 307, and a deletion unit 308.

[0128] The calculation unit 302 has a function similar to that of the calculation unit 102 of the first embodiment. The first comparison unit 303 has a function similar to that of the first comparison unit 103 of the first embodiment. The storage processing unit 304 has a function similar to that of the storage processing unit 104 of the first embodiment. The accumulation processing unit 305 has a function similar to that of the accumulation processing unit 105 of the first embodiment. The second comparison unit 306 has a function similar to that of the second comparison unit 106 of the first embodiment. The deletion unit 308 has a function similar to that of the deletion unit 108 of the first embodiment.

[0129] The acquisition unit 301 of this embodiment acquires biometric information of the user, environmental information related to the environment around the user, and behavioral information of the user from the wearable terminal 10. Note that the acquisition unit 301 may acquire environmental information and the like from a device other than the wearable terminal 10.

[0130] The alarm unit 307 of this embodiment issues an alarm when any of the biometric information, environmental information, behavioral information, and index values ​​calculated from these pieces of information is equal to or greater than a threshold for instantaneous values, or when any of the integrated results of the biometric information, environmental information, behavioral information, and index values ​​calculated from these pieces of information is equal to or greater than a threshold for integrated values. The alarm unit 307 of this embodiment issues an alarm of the risk of heat stroke, for example, by transmitting a signal to the wearable terminal 10. Alternatively, the alarm unit 307 of this embodiment may notify an administrator, etc., of the risk of heat stroke of the subject wearing the wearable terminal 10 by transmitting a signal to a management PC, etc. (not shown).

[0131] In this way, according to the server device 30 of the present embodiment, even if the wearable device 10 itself does not have a comparison processing function, it is possible to make the user aware of the risk of heat stroke, as in the first embodiment.

[0132] 12, the server device 30 includes both the first comparing unit 303 and the second comparing unit 306, but a configuration in which the processes are shared may be adopted, such that the wearable terminal 10 includes the first comparing unit 103 and the server device 30 includes the second comparing unit 306. In this case, the integration result used by the second comparing unit 306 is stored on the server device 30 side, so that the storage capacity of the wearable terminal 10 can be reduced.

[0133] In addition, in FIG. 12, the server device 30 is described as having the same functions as the wearable terminal 10 of the first embodiment, but the server device 30 may also have the same functions as the second embodiment described in FIG. 10.

[0134] (Variation 1) In the above-described first and second embodiments, a configuration was described in which one wearable terminal 10 is equipped with both the first comparison unit 103 and the second comparison unit 106, but these functional units may be distributed and installed on multiple wearable terminals 10.

[0135] For example, a wearable device 10 that acquires measurement data and index values ​​from another wearable device and alerts the risk of heat stroke based on instantaneous values ​​and accumulates the measurement data and index values ​​may be used in combination with another wearable device.

[0136] When this configuration is adopted, the second comparison unit 106 in the wearable terminal 10 may be simply referred to as a comparison unit. The second comparison unit 106 of this modification compares the integrated values ​​of the biological information, the environmental information, the behavioral information, and the index values ​​calculated from these pieces of information with thresholds for the integrated values ​​of the biological information, the environmental information, the behavioral information, and the index values ​​calculated from these pieces of information. In addition, the alert unit 107 of this modification issues an alert when any of the integrated values ​​of the biological information, the environmental information, the behavioral information, and the index values ​​calculated from these pieces of information is equal to or greater than the threshold for the integrated values.

[0137] (Variation 2) In the above-described third embodiment, the server device 30 is taken as an example of an information processing device, but the information processing device is not limited to this. For example, the information processing device may be a PC or a mobile terminal such as a smartphone.

[0138] Fig. 13 is a diagram showing an example of the configuration of an information system S200 according to Modification 2. The information system S200 includes a wearable terminal 10 and a mobile terminal 40. The mobile terminal 40 is, for example, a smartphone or a tablet terminal. The mobile terminal 40 includes an acquisition unit 301, a calculation unit 302, a first comparison unit 303, a storage processing unit 304, an accumulation processing unit 305, a second comparison unit 306, an alarm unit 307, and a deletion unit 308, similar to the server device 30 described in Fig. 12.

[0139] By adopting such a configuration, even if the wearable terminal 10 itself does not have a comparison processing function, the user can be made aware of the risk of heat stroke, as in the first embodiment, by using the functions of the user's mobile terminal 40, etc.

[0140] (Variation 3) In the first embodiment described above, the user wearing the wearable terminal 10 is, for example, a worker who works outdoors or indoors as part of his / her job, but the wearable terminal 10 may also be used for health management purposes other than for work purposes.

[0141] The programs executed by the wearable terminal 10 or the information processing device of each of the above-mentioned embodiments are provided by being pre-installed in a ROM, etc. Also, the programs executed by the wearable terminal 10 or the information processing device of each of the above-mentioned embodiments may be provided by being recorded in a computer-readable recording medium, such as a flash memory, as a file in an installable or executable format.

[0142] Furthermore, the programs executed by the wearable terminal 10 or the information processing device of each of the above-mentioned embodiments may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. Also, the programs executed by the wearable terminal 10 or the information processing device of each of the above-mentioned embodiments may be provided or distributed via a network such as the Internet.

[0143] The program executed by the wearable terminal 10 or information processing device in each of the above-mentioned embodiments has a modular configuration including each of the above-mentioned units (acquisition unit, calculation unit, first comparison unit, accumulation processing unit, storage processing unit, second comparison unit, alarm generation unit, deletion unit, reception unit, and setting unit), and in terms of actual hardware, the processor 11 reads out and executes the program from the memory unit 16, thereby loading each of the above-mentioned units onto the main storage device, and the acquisition unit, calculation unit, first comparison unit, accumulation processing unit, storage processing unit, second comparison unit, alarm generation unit, deletion unit, reception unit, and setting unit are generated on the main storage device.

[0144] As described above, according to the first to third embodiments, it is possible to notify the possibility of heat stroke occurring due to accumulation of load over a long period of time.

[0145] Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]

[0146] 10,10a~10n Wearable devices 11 Processors 12 Sensors 13. Display 14 Control section 15 Speaker 16 Memory section 17 Wireless communication devices 18 Motor 20A, 20B Belt 21A,21B Fixed part 30 Server device 31 Environmental temperature sensor 32 Environmental Humidity Sensor 40 Mobile Devices 100 Main body 101,301 Acquisition Department 102,302 Calculation section 103,303 First comparison section 104,304 Storage Processing Unit 105,305 Integration processing unit 106,306 Second comparison section 107,307 Reporting Department 108,308 Deleted 109 Reception 110 Setting section 121 Temperature Sensor 122 Humidity Sensor 123 Pulse Sensor 124 Acceleration Sensor 125 Angular Acceleration Sensor 126 Barometric pressure sensor 127 Geomagnetic Sensor 128 Blood flow and circulation sensor S100, S200 Information Systems

Claims

1. A sensor that acquires biometric information of a user and environmental information regarding an environment surrounding the user; a first comparison unit that compares the biological information and the environmental information acquired by the sensor with corresponding first thresholds; an integration processing unit that integrates the biological information and the environmental information that meet a predetermined integration target condition; a second comparison unit that compares the integrated value of the biological information and the integrated value of the environmental information calculated by the integration processing unit with second threshold values ​​corresponding to each of the biological information and the environmental information; an alarm unit that issues an alarm when one of the biological information and the environmental information is equal to or greater than the first threshold value, or when one of the integrated values ​​of the biological information and the integrated value of the environmental information is equal to or greater than the second threshold value; A wearable terminal comprising:

2. The biological information is measurement data of a vital sign of the user, The environmental information includes measurement data of temperature and humidity around the user. The wearable terminal according to claim 1 .

3. The sensor further acquires behavioral information regarding a behavior of the user; The first comparison unit compares the behavioral information with the first threshold corresponding to the behavioral information, The integration processing unit integrates the behavior information corresponding to the predetermined integration target condition, The second comparison unit compares the integrated value of the behavior information calculated by the integration processing unit with the second threshold value corresponding to the behavior information, the alert unit issues an alert when the behavior information is equal to or greater than the first threshold corresponding to the behavior information, or when an integrated value of the behavior information is equal to or greater than the second threshold corresponding to the behavior information. The wearable terminal according to claim 1 or 2.

4. A calculation unit that calculates an amount of exercise of the user from the behavior information, The first comparison unit compares the amount of exercise with the first threshold corresponding to the amount of exercise, The integration processing unit integrates the exercise amount corresponding to the predetermined integration target condition, The second comparison unit compares the integrated value of the amount of exercise calculated by the integration processing unit with the second threshold value corresponding to the amount of exercise, The notification unit issues a notification when the amount of exercise is equal to or greater than the first threshold, or when an integrated result of the amount of exercise is equal to or greater than the second threshold. The wearable terminal according to claim 3 .

5. A main body portion that contains the sensor, The main body includes a fixing portion for fixing a wearable member that can be worn on the user's body. The wearable terminal according to claim 1 .

6. An acquisition unit that acquires biological information of a subject and environmental information regarding an environment surrounding the subject; a first comparison unit that compares the acquired biological information and the acquired environmental information with corresponding first thresholds; an integration processing unit that integrates the biological information and the environmental information that meet a predetermined integration target condition; a second comparison unit that compares the integrated value of the biological information and the integrated value of the environmental information calculated by the integration processing unit with second threshold values ​​corresponding to each of the biological information and the environmental information; an alarm unit that issues an alarm when one of the biological information and the environmental information is equal to or greater than the first threshold value, or when one of the integrated values ​​of the biological information and the integrated value of the environmental information is equal to or greater than the second threshold value; An information processing device comprising:

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