Heatstroke emulation estimation device, heatstroke emulation estimation method, heatstroke emulation estimation program, and heatstroke emulation estimation system

The heat acclimation estimation device addresses the challenge of varying heat stroke risks by measuring environmental and activity data to estimate individual heat acclimatization, providing personalized risk assessments and adaptation recommendations.

JP7869551B2Active Publication Date: 2026-06-03TANITA CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
TANITA CORP
Filing Date
2021-06-23
Publication Date
2026-06-03

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately determine the risk of developing heat stroke for individuals based on their adaptability to heat, as adaptability varies among people.

Method used

A heat acclimation estimation device that acquires environmental information, sweating amount, and activity level to estimate the user's heat acclimatization level, using a sweat meter and sensors to calculate sweat volume and activity intensity, and provides personalized risk assessments for heat stroke.

Benefits of technology

Enables accurate estimation of an individual's heat acclimatization level, allowing for personalized risk assessment and tailored recommendations to improve heat adaptation.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To enable estimation of adaptability to heat.SOLUTION: A heat acclimation estimation device includes: an environmental information acquisition unit for acquiring surrounding environmental information of a user; a perspiration amount acquisition unit for acquiring an amount of perspiration of a user; and an activity amount information acquisition unit for acquiring activity amount information of a user. The heat acclimation estimation device includes an estimation unit for estimating a heat acclimation level of a user on the basis of the acquired environmental information, the amount of perspiration and the activity amount information.SELECTED DRAWING: Figure 2
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Description

Technical Field

[0001] The present invention relates to a heat acclimation estimation device, a heat acclimation estimation method, a heat acclimation estimation program, and a heat acclimation estimation system.

Background Art

[0002] Patent Document 1 discloses a sweating amount detection device. By using this sweating amount detection device to measure and manage the sweating amount of a user, the onset of heat stroke can be detected in advance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the risk of developing heat stroke varies depending on each person's adaptability to heat.

[0005] Therefore, in the above-described sweating amount detection device, it is difficult to determine the risk of developing heat stroke for each individual in consideration of the adaptability to heat.

[0006] The present invention has been made in view of the above problems, and an object thereof is to enable estimation of the adaptability to heat.

Means for Solving the Problems

[0007] A heat acclimation estimation device according to an aspect of the present invention includes an environmental information acquisition unit that acquires environmental information around a user, and a sweating amount acquisition unit that acquires the sweating amount of the user. The heat acclimation estimation device further includes an activity amount information acquisition unit that acquires the activity amount information of the user, and an estimation unit that estimates the heat acclimation level of the user based on the acquired environmental information, sweating amount, and activity amount information. [Effects of the Invention]

[0008] According to this embodiment, by acquiring information about the user's surrounding environment, the amount of sweat produced by the user, and the user's activity level, it becomes possible to estimate the user's heat acclimatization level, which indicates their ability to adapt to heat.

[0009] Therefore, by using the heat acclimatization level that can be estimated for each user, it becomes possible to individually assess, for example, the risk of developing heatstroke for each user. [Brief explanation of the drawing]

[0010] [Figure 1] Figure 1 is a block diagram showing an example of the hardware configuration of a heat acclimatization estimation device according to the first embodiment. [Figure 2] Figure 2 is a functional block diagram showing an example of the functional configuration of the heat acclimatization estimation device according to the first embodiment. [Figure 3] Figure 3 is a matrix table showing the relationship between activity level, sweating level, WBGT value, and heat acclimatization level. [Figure 4] Figure 4 shows a matrix table used to assess the risk of heatstroke. [Figure 5] Figure 5 is a flowchart showing an example of a heat acclimatization promotion process performed by the heat acclimatization estimation device according to the first embodiment. [Figure 6] Figure 6 is a flowchart showing the process following Figure 5. [Figure 7] Figure 7 is a diagram showing the relationship between heat acclimatization level and sweat volume. [Modes for carrying out the invention]

[0011] <First Embodiment> The first embodiment will be described below with reference to the attached drawings.

[0012] FIG. 1 is a block diagram showing an example of the hardware configuration of the heat acclimation estimation device 10 according to the first embodiment. FIG. 2 is a functional block diagram showing an example of the functional configuration of the heat acclimation estimation device 10 according to the first embodiment.

[0013] The heat acclimation estimation device 10 is a device that estimates the heat acclimation level of a user. Heat acclimation refers to the body getting used to heat. The heat acclimation level indicates the level of the user's adaptability to heat. As an example, the heat acclimation estimation device 10 is composed of a wearable device worn by the user. As an example of the wearing position of the heat acclimation estimation device 10, the user's wrist can be mentioned.

[0014] (Hardware Configuration) As shown in FIG. 1, the heat acclimation estimation device 10 is centered around a processor 12 that constitutes a computer. An environmental information input unit 14, a sweating amount input unit 16, and an activity amount information input unit 20 are connected to the processor 12. Further, a storage unit 30, an input unit 32, a display unit 34, an alert unit 36, a clock unit 38, and a communication unit 40 are connected to the processor 12.

[0015] The environmental information input unit 14 acquires environmental information indicating the environment around the user and sends it to the processor 12. As a method for acquiring environmental information, the environmental information input unit 14 can communicate with other devices to acquire environmental information, or can acquire environmental information using sensors provided in the heat acclimation estimation device 10. In this embodiment, the environmental information input unit 14 is, as an example, composed of sensors provided in the heat acclimation estimation device 10.

[0016] As an example, the environmental information input by the environmental information input unit 14 includes the temperature and humidity around the user. The sensors of the environmental information input unit 14 are composed of a temperature sensor and a humidity sensor.

[0017] The sweating amount input unit 16 detects temperature and humidity and sends it to the processor 12. The sweating amount input unit 16 is composed of a sweat meter (not shown) provided in the heat acclimation estimation device 10.

[0018] The sweat meter that constitutes the sweat amount input unit 16 includes, as an example, a temperature sensor and a humidity sensor. The sweat meter is arranged such that the housing is in close contact with the user's skin. An inlet is formed on the contact surface of the housing that contacts the skin. An outlet is formed on the side surface of the housing that does not contact the skin. A passage connecting the inlet and the outlet is formed inside the housing.

[0019] The housing is provided with a first temperature and humidity input unit that detects the temperature and humidity of a part near the inlet of the passage, and a second temperature and humidity input unit that detects the temperature and humidity of a part near the outlet of the passage. The first temperature and humidity input unit is composed of sensors that detect the temperature and humidity of the air containing sweat from the skin. The second temperature and humidity input unit is composed of sensors that detect the temperature and humidity of the air outside the housing. The absolute humidity is calculated respectively with the temperature and humidity detected by the first temperature and humidity input unit and the temperature and humidity detected by the second temperature and humidity input unit, and the differences between the temperatures and the humidities detected by the first temperature and humidity input unit and the second temperature and humidity input unit are obtained.

[0020] An example will be given to explain how to obtain the sweat amount.

[0021] For example, let the humidity detected by the first temperature and humidity input unit be AHupper, the humidity detected by the second temperature and humidity input unit be AHlower, and the distance from the first temperature and humidity input unit to the second temperature and humidity input unit be dseparation. And let the coefficient for obtaining the sweat amount be D(T). In this case, the sweat amount J is obtained by the following arithmetic formula.

[0022] J = D(T)×(AHlower - AHupper) / dseparation

[0023] In this arithmetic formula, "AHlower" and "AHupper" respectively indicate the absolute humidity. On the other hand, the humidity detected by the first temperature and humidity input unit of the sweat amount input unit 16 and the humidity detected by the second temperature and humidity input unit are relative humidities. Therefore, the absolute humidity is calculated based on the temperature and relative humidity detected by each temperature and humidity input unit, and the calculated absolute humidity is used as "AHlower" and "AHupper" for the calculation.

[0024] By performing calculations using this formula, the processor 12 can obtain the amount of sweat produced by the user wearing the sweat meter.

[0025] Here, sweating includes stress-induced sweating. Stress-induced sweating mainly occurs in the palms, etc. Therefore, by attaching a sweat meter to the wrist or the back of the hand, stress-induced sweating can be excluded from the detection results.

[0026] The activity level information input unit 20 acquires the user's activity level information and sends it to the processor 12. Activity level information is acquired, for example, from the user's movements obtained from a 3D acceleration sensor or from vital signs. Examples of vital signs include pulse rate, respiration, body temperature, and blood pressure. The vital sign detected by the activity level information input unit 20 is, for example, the user's pulse rate.

[0027] Here, actions such as putting on a jacket are included in actions that promote sweating. To explain in more detail, the amount of sweat produced will differ depending on whether you are exercising in thick clothing or thin clothing. Therefore, by configuring the system to allow users to input their clothing from the input unit 32, clothing can be added as one of the activity level information.

[0028] Furthermore, activity level information includes not only the vital signs and clothing mentioned above, but also activity intensity (METs).

[0029] Activity level information includes one or more of the aforementioned vital signs, clothing, and activity intensity.

[0030] The storage unit 30 stores data so that it can be read by the processor 12. The storage unit 30 stores a heat acclimatization estimation program that controls the operation of the heat acclimatization estimation device 10.

[0031] The storage unit 30 functions as a storage medium for storing a heat acclimatization estimation program that realizes the functions of the information processing device of this embodiment. The storage unit 30 is composed of non-volatile memory (ROM: Read Only Memory) and volatile memory (RAM: Random Access Memory), etc.

[0032] Furthermore, the memory unit 30 stores data used in the heat acclimatization estimation program in a readable format.

[0033] To explain with a specific example, the memory unit 30 stores the calculation formula for the amount of sweat J, a data table for determining the WBGT value (described later), and user information such as the user's age and weight, which are entered from the input unit 32, in a readable format. The memory unit 30 also stores the measured heat acclimatization level in association with the measurement date and time, in a readable format.

[0034] The input unit 32 sends the data entered by the user to the processor 12. The input unit 32 functions as an input interface that accepts user input operations. For example, the input unit 32 consists of multiple operation buttons and number buttons.

[0035] The display unit 34 displays information according to the data from the processor 12. The display unit 34 informs the user of measurement results and other information through the display. Examples of devices that provide information through the display include light-emitting diodes or liquid crystal display panels such as LCDs (Liquid Crystal Display), and in this embodiment, the display unit 34 is composed of a liquid crystal display panel as an example.

[0036] The notification unit 36 ​​provides notifications according to data from the processor 12. The notification unit 36 ​​provides audible notifications to the user, such as guidance or warning sounds. Examples of devices that provide audible notifications include piezoelectric buzzers and speakers, and in this embodiment, the notification unit 36 ​​is configured as a speaker, for example.

[0037] The clock unit 38 displays the current date and time, and also measures the time. The clock unit 38 outputs the current date and time to the processor 12.

[0038] The communication unit 40 enables the transmission and reception of data between the processor 12 and external devices. The communication unit 40 constitutes an interface for transmitting and receiving data. The communication unit 40 consists of hardware that performs communication using USB (universal serial bus), Bluetooth (registered trademark), wireless LAN, short-range wireless communication (FeliCa (registered trademark), etc.), LPWA, or mobile phone lines such as 4G and 5G.

[0039] If the aforementioned heat acclimatization estimation program is supplied from an external device, the communication unit 40 receives the heat acclimatization estimation program from the external device and sends it to the processor 12. The processor 12 stores the received heat acclimatization estimation program in the storage unit 30. If the communication unit 40 is configured as an internet connection device, the communication unit 40 receives the heat acclimatization estimation program from an external device, such as a server, via a network such as the Internet and a telephone network.

[0040] The processor 12 is composed of, for example, a central processing unit (CPU). The processor 12 reads the program stored in the memory unit 30 and operates according to the read program. In this way, the processor 12 controls each part of the heat acclimatization estimation device 10 to carry out the heat acclimatization estimation method.

[0041] Furthermore, the processor 12 displays the estimation results on the display unit 34, notifies the results via the notification unit 36, or transmits them to an external device via the communication unit 40.

[0042] (Functional block) As shown in Figure 2, the heat acclimatization estimation device 10 includes an environmental information acquisition unit 50, a sweat volume acquisition unit 52, an activity volume information acquisition unit 54, an estimation unit which is a heat acclimatization level estimation unit 56, and an activity notification unit 58. The heat acclimatization estimation device 10 also includes a determination unit which is a heatstroke risk determination unit 60, an exercise notification unit 62, a sweat time acquisition unit 64, and a recording unit 66.

[0043] The functions of each part of the heat acclimatization estimation device 10 are realized by the processor 12 executing the heat acclimatization estimation program, which is a software program read from the storage unit 30.

[0044] Furthermore, at least one of the functions of each part of the heat acclimatization estimation device 10 may be implemented by individual hardware such as an ASIC. Alternatively, each part of the heat acclimatization estimation device 10 may be implemented by a combination of software programs and individual hardware.

[0045] [Environmental information acquisition department] The environmental information acquisition unit 50 acquires environmental information about the user's surroundings.

[0046] The environmental information acquisition unit 50 acquires environmental information via the environmental information input unit 14. The environmental information acquired is the ambient temperature, which indicates the temperature around the user.

[0047] The environmental information acquisition unit 50 acquires the WBGT value, which indicates the heat index. One method for acquiring the WBGT value is to calculate it from the measured values ​​obtained from sensors installed in the heat acclimatization estimation device 10. Another method for acquiring the WBGT value is to obtain it from an external device that distributes environmental information.

[0048] Here, the Wet Bulb Globe Temperature (WBGT), which indicates the heat index, is an index proposed in the United States in 1954 with the aim of preventing heatstroke. The unit is the same as air temperature, degrees Celsius (°C), but its value is different from air temperature. The heat index (WBGT) is an index that focuses on the heat exchange between the human body and the outside air, and incorporates three factors that have a large impact on the body's heat balance: humidity, the surrounding thermal environment such as solar radiation and radiant heat, and air temperature.

[0049] This WBGT value is used to determine the risk of heatstroke based on temperature and relative humidity, ranging from "caution," "warning," "severe warning," to "danger."

[0050] [Sweat volume acquisition section] The sweat volume acquisition unit 52 acquires the user's sweat volume.

[0051] The sweat volume acquisition unit 52 acquires the user's sweat volume by calculating the humidity input from the first temperature and humidity input unit and the second temperature and humidity input unit of the sweat meter using a calculation formula.

[0052] [Activity information acquisition unit] The activity level information acquisition unit 54 acquires the user's activity level information.

[0053] The activity level information acquisition unit 54 calculates activity level information using the user's pulse rate input from the activity level information input unit 20. For example, the user's pulse rate, age, and weight are used to calculate the activity level information.

[0054] [Heat acclimatization level estimation department] The heat acclimatization level estimation unit 56 estimates the user's heat acclimatization level based on acquired environmental information, sweat volume, and activity level information.

[0055] The heat acclimatization level is the user's level of adaptability to heat, and the heat acclimatization level estimation unit 56 estimates how well the user can adapt to the heat. For example, the heat acclimatization level can be categorized into "low heat acclimatization level," "medium heat acclimatization level," and "high heat acclimatization level." Furthermore, within each level, the heat acclimatization level may be further subdivided according to the level of adaptability to heat.

[0056] Furthermore, the heat acclimatization level estimation unit 56 estimates that the heat acclimatization level is high if the amount of sweat is equal to or greater than the standard value of sweat amount associated with the activity amount information acquired by the activity amount information acquisition unit 54.

[0057] Furthermore, the heat acclimatization level estimation unit 56 estimates that the heat acclimatization level is high if the amount of sweat is equal to or greater than the standard value of sweat amount associated with the activity level information acquired by the activity level information acquisition unit 54 in the heat index indicated by the environmental information.

[0058] [Action Information Department] The behavioral notification unit 58 notifies the user of actions that promote sweating when the activity level included in the activity level information is below a first predetermined value when estimating the heat acclimatization level. The first predetermined value is set, for example, to the amount of sweat that makes it difficult to estimate the heat acclimatization level.

[0059] To explain in more detail, when estimating the heat acclimatization level, if the amount of sweat is low, it becomes difficult to estimate the heat acclimatization level. Therefore, by notifying users of actions that promote sweating, we can encourage sweating in the user and facilitate the estimation of the heat acclimatization level.

[0060] Actions that promote sweating include, for example, exercise or wearing thick clothing. Therefore, the action notification unit 58 will, as an example, notify the user that they will exercise or wear thick clothing.

[0061] [Heatstroke Risk Assessment Department] The heatstroke risk assessment unit 60 determines the risk of heatstroke based on the heat acclimatization level and the heat index.

[0062] Even if the surrounding environment is the same for all users, the risk of developing heatstroke varies depending on each individual's ability to adapt to the heat. Therefore, the risk of developing heatstroke must be determined according to the user's ability to adapt to the heat.

[0063] The heatstroke risk assessment unit 60 determines the heatstroke risk based on the heat acclimatization level, thereby enabling the individual assessment of the heatstroke risk for each user.

[0064] When the environmental information acquisition unit 50 acquires a WBGT value indicating a heat index, the heatstroke risk determination unit 60 determines that the risk of heatstroke is high if the acquired amount of sweat is less than or equal to the amount of sweat determined by a predetermined heat index. Specifically, the heatstroke risk determination unit 60 determines that the risk of heatstroke is high, or "high heatstroke risk," if the amount of sweat is less than or equal to a third predetermined value at a predetermined heat index.

[0065] To explain in more detail, the heatstroke risk determination unit 60 determines that there is a high risk of developing heatstroke, or "high heatstroke risk," when the amount of sweat produced is less than or equal to the third predetermined value when the WBGT value is above the second predetermined value.

[0066] The second specified value is, for example, the WBGT value at which sweating occurs. The third specified value is set as the amount of sweat obtained when the WBGT value is equal to or higher than the second specified value, for example, when heat acclimatization has not progressed and there is a high risk of developing heatstroke.

[0067] Furthermore, the heatstroke risk determination unit 60 determines that the risk of heatstroke is high ("high heatstroke risk") when the amount of sweat produced is below a predetermined value while the amount of activity included in the activity information shows a predetermined value at a predetermined heat acclimatization level.

[0068] Then, the environmental information acquisition unit 50 acquires the WBGT value, which indicates the heat index. The heatstroke risk determination unit 60 determines that the risk of heatstroke is high, or "high heatstroke risk," when the amount of sweat produced is below the sixth predetermined value when the activity amount included in the activity amount information shows a predetermined value at a predetermined heat index.

[0069] As an example, the environmental information acquisition unit 50 acquires the WBGT value, which indicates the heat index. The heatstroke risk determination unit 60 determines that the risk of heatstroke is high ("high heatstroke risk") when the WBGT value is above the fourth predetermined value, the activity amount included in the activity amount information is above the fifth predetermined value, and the amount of sweat is below the sixth predetermined value.

[0070] The fourth specified value is, as an example, the WBGT value at which sweating may occur. The fifth specified value is the activity level at which sweating may occur when the WBGT value is equal to or greater than the fourth specified value. The sixth specified value is the amount of sweating that may occur when the WBGT value is equal to or greater than the fourth specified value and the activity level included in the activity level information is equal to or greater than the fifth specified value.

[0071] The heatstroke risk assessment unit 60 determines that the risk of heatstroke is high when the heat index is equal to or greater than the standard value of the heat index corresponding to the heat acclimatization level.

[0072] The heatstroke risk determination unit 60 determines that the risk of heatstroke is high if the activity level obtained by the activity level information acquisition unit 54 is equal to or greater than the standard value of the activity level associated with the heat acclimatization level, based on the heat index.

[0073] The heatstroke risk assessment unit 60 determines that the risk of heatstroke is high if the heat index in the activity level acquired by the activity level information acquisition unit 54 is equal to or greater than the standard value of the heat index corresponding to the heat acclimatization level.

[0074] [Sports News Department] The exercise notification unit 62 notifies the user to perform a predetermined exercise based on the heat acclimatization level estimated by the heat acclimatization level estimation unit 56. The predetermined exercise refers, for example, to exercise that reaches a predetermined amount.

[0075] To explain in more detail, if a user's heat acclimatization level is low and therefore their sweating is minimal, the exercise notification unit 62 will have difficulty estimating the heat acclimatization level. For this reason, the exercise notification unit 62 promotes sweating by notifying the user to perform a predetermined exercise, thereby facilitating the estimation of the heat acclimatization level.

[0076] [Sweat Time Acquisition Unit] The sweating time acquisition unit 64 acquires the time it takes for the amount of sweat to reach a predetermined level when the user performs a predetermined exercise.

[0077] One example of a predetermined amount is the amount of sweat that allows for the estimation of the heat acclimatization level. This allows for the determination of the amount of exercise required to reach a predetermined amount of sweat, based on METs (Metabolic Equivalents) calculated from the exercise amount obtained from activity level information. Based on this amount of exercise, it becomes possible to estimate the heat acclimatization level.

[0078] Here, METs (Metabolic Equivalents) represent the intensity and unit of exercise or physical activity.

[0079] [Records Department] The recording unit 66 records time information indicating the time acquired by the sweating time acquisition unit 64 in the storage unit 30. This ensures that time information indicating the exercise time until the amount of sweat reaches a predetermined level is recorded in the storage unit 30 for each measurement.

[0080] Then, the heat acclimatization level is evaluated based on the changes in the time information stored in this memory unit 30. This makes it possible to understand the changes in the heat acclimatization level over time.

[0081] When recording time information in the storage unit 30, the recording unit 66 records the amount of exercise obtained from the activity level until the amount of sweating reaches the predetermined amount mentioned above, in relation to the time information. This allows the relationship between previously recorded exercise and time information and the relationship between exercise and time information acquired at the present time to be organized and adjusted using the aforementioned METs. This makes it possible to compare the heat acclimatization level obtained from previously recorded time information with the heat acclimatization level obtained from currently acquired time information.

[0082] (Operation instructions) Next, the operation of the heat acclimatization estimation device 10 will be explained using Figure 3, following the processing procedures executed by the processor 12 of the heat acclimatization estimation device 10.

[0083] The memory unit 30 of the heat acclimatization estimation device 10 stores programs for executing heat acclimatization estimation processing, heatstroke risk determination processing, and heat acclimatization promotion processing. For example, the heat acclimatization estimation processing, heatstroke risk determination processing, or heat acclimatization promotion processing is selectively executed according to the input from the input unit 32.

[0084] [Heat acclimatization estimation process] First, we will explain the heat acclimatization estimation process, which demonstrates the basic operation of estimating the user's heat acclimatization, using a matrix table.

[0085] Figure 3 shows a matrix table 100 illustrating the relationship between activity level, sweating volume, WBGT value, and heat acclimatization level.

[0086] Matrix Table 100 shows the correspondence between sweat volume and activity level information. Matrix Table 100 also shows reference values ​​for sweat volume in relation to activity level information. Furthermore, Matrix Table 100 correlates sweat volume with activity level information such that the reference value for sweat volume increases as the activity level increases.

[0087] In this embodiment, the case in which heat acclimatization estimation processing is performed based on matrix table 100 is described, but the embodiment is not limited to this. For example, the correspondence relationship shown in matrix table 100 may be expressed by a mathematical formula, and the heat acclimatization estimation processing may be performed using this formula.

[0088] When the processor 12 of the heat acclimatization estimation device 10 executes the heat acclimatization estimation process from the program stored in the memory unit 30, the processor 12 acquires a WBGT value, which is an example of environmental information around the user. The WBGT value is acquired by one of the methods described in the environmental information acquisition unit 50.

[0089] Here, the WBGT value is an index related to heat, determined by the relationship between temperature and relative humidity. The WBGT value is an index of heat obtained by the environmental information input unit 14, and the WBGT value is shown as a numerical value. The WBGT value is used as an indicator of the risk of developing heatstroke. Based on this WBGT value, the risk of developing heatstroke is classified as "caution," "warning," "severe warning," "danger," or "less than caution" or "safe," which does not reach the level of caution.

[0090] Furthermore, the processor 12 acquires the amount of sweat calculated based on the humidity obtained from the sweat amount input unit 16, and the activity level calculated from the user's pulse rate input from the activity level information input unit 20.

[0091] The processor 12 then estimates the heat acclimatization level based on the WBGT value, sweating amount, and activity level. Examples of methods for estimating the heat acclimatization level include a simplified classification and a detailed classification.

[0092] (Simple classification example) In the simplified classification example, as shown in Figure 3, the matrix table 100 is divided into four areas based on the combination of acquired activity levels and sweat levels: the first area A1, the second area A2, the third area A3, and the fourth area A4.

[0093] Furthermore, the amount of sweat produced differs between periods of activity and periods of rest. Specifically, the amount of sweat produced during activity is generally higher than that produced at rest. Therefore, the amount of sweat produced in each area should be adjusted depending on whether the person is active or at rest.

[0094] If the combination of activity level and sweating level belongs to Area A1, the lowest level of heat acclimatization is classified as "No Heat Acclimatization Level". If the combination of activity level and sweating level belongs to Area A2, the lowest level of heat acclimatization is classified as "Low Heat Acclimatization Level".

[0095] If the combination of activity level and sweating level belongs to the third area A3, the heat acclimatization level is considered "medium." If the combination of activity level and sweating level belongs to the fourth area A4, the heat acclimatization level is considered "high."

[0096] As a result, the heat acclimatization level estimation unit 56 estimates that the heat acclimatization level is high if the acquired amount of sweat exceeds the amount of sweat corresponding to the activity level information.

[0097] If we subdivide this classification, the second area A2 can be divided into the second a area A2a, the second b area A2b, and the second c area A2c. The third area A3 can be divided into the third a area A3a, the third b area A3b, and the third c area A3c.

[0098] In this case, if the combination of activity level and sweating level belongs to the second area a A2a, it is considered a "low heat acclimatization level". If the combination of activity level and sweating level belongs to the second area b A2b, it is considered a "low heat acclimatization level (-)". If the combination of activity level and sweating level belongs to the second area b A2b, it is considered a "low heat acclimatization level (+)".

[0099] Furthermore, if the combination of activity level and sweating level belongs to the third area a, A3a, the heat acclimatization level is considered "medium (-)". If the combination of activity level and sweating level belongs to the third area b, A3b, the heat acclimatization level is considered "medium". If it belongs to the third area c, A3c, the heat acclimatization level is considered "medium (+)".

[0100] (Detailed classification example) In the detailed classification example, the WBGT value, which indicates the heat index, is checked for each area A1, A2, A3, and A4 to which the combination of activity level and sweating level belongs, and the heat acclimatization level is determined according to the condition indicated by the WBGT value.

[0101] To give a specific example, if the WBGT value in the second area A2 falls below the "caution" level, it will be classified as "medium heat acclimatization level."

[0102] As a result, the heat acclimatization estimation device 10 estimates the heat acclimatization level to be moderate when the acquired amount of sweat exceeds the amount of sweat corresponding to the activity level information in the heat index (WBGT value) indicated by the environmental information.

[0103] Furthermore, if the WBGT value in the second area A2 falls above the "caution" level, it will be classified as "low heat acclimatization level."

[0104] Furthermore, if the WBGT value in the third area A3 falls below the "caution" level, the risk of developing heat acclimatization will be classified as "medium heat acclimatization level." Conversely, if the WBGT value in the third area A3 is above the "warning" level, the heat acclimatization level will be classified as "low heat acclimatization level."

[0105] If the WBGT value in Area 4A4 is "Severe Caution" or higher, the heat acclimatization level will be considered "Low." If the WBGT value in Area 4A4 is "Caution," the heat acclimatization level will be considered "Medium." If the WBGT value in Area 4A4 is "Warning" or lower, the heat acclimatization level will be considered "High."

[0106] Further classification is as follows: If the WBGT value in the third area a, A3a, falls below "Caution," it will be classified as "Medium Heat Acclimatization Level (-)." If the WBGT value in the third area a, A3a, falls above "Warning," it will be classified as "Low Heat Acclimatization Level (-)." If the WBGT value in the third area b, A3b, falls above "Caution," it will be classified as "Medium Heat Acclimatization Level." If the WBGT value in the third area b, A3b, falls above "Warning," it will be classified as "Low Heat Acclimatization Level." If the WBGT value in the third area c, A3c, falls above "Caution," it will be classified as "Medium Heat Acclimatization Level (+)." If the WBGT value in the third area c, A3c, falls above "Warning," it will be classified as "Low Heat Acclimatization Level (+)."

[0107] This heat acclimatization estimation process estimates the heat acclimatization level by referring to the WBGT value in combination with activity level and sweating, but it is not limited to this. For example, the heat acclimatization level may be estimated by whether or not a predetermined amount of sweating occurs at a predetermined heat index, which is the WBGT value.

[0108] [Effects and benefits of heat acclimatization estimation treatment] Next, we will explain the effects of the heat acclimatization estimation process.

[0109] The heat acclimatization estimation device 10 in this embodiment includes an environmental information acquisition unit 50 that acquires environmental information about the user's surroundings, and a sweat amount acquisition unit 52 that acquires the amount of sweat produced by the user. The heat acclimatization estimation device 10 also includes an activity amount information acquisition unit 54 that acquires activity amount information about the user, and a heat acclimatization level estimation unit 56 that estimates the user's heat acclimatization level based on the acquired environmental information, sweat amount, and activity amount information.

[0110] This configuration allows for the estimation of a user's heat acclimatization level, which indicates their ability to adapt to heat, by acquiring information about the user's surrounding environment, the amount of sweat they produce, and their activity level.

[0111] Therefore, by utilizing the heat acclimatization level that can be estimated for each user, it becomes possible to individually assess, for example, the risk of developing heatstroke for each user.

[0112] Furthermore, in this embodiment, it is possible to determine the heat acclimatization level without any restrictions on the amount of activity.

[0113] Furthermore, when determining the level of heat acclimatization during training, it becomes possible to measure the level of heat acclimatization even in situations with low activity levels, such as when entering a sauna.

[0114] Furthermore, in the heat acclimatization estimation device 10 of this embodiment, the heat acclimatization level estimation unit 56 estimates that the heat acclimatization level is high when the amount of sweat is equal to or greater than a standard value of sweat amount associated with the activity amount information acquired by the activity amount information acquisition unit 54.

[0115] Furthermore, in the heat acclimatization estimation device 10 of this embodiment, the heat acclimatization level estimation unit 56 estimates that the heat acclimatization level is high when the amount of sweat is equal to or greater than the standard value of the amount of sweat associated with the activity amount information acquired by the activity amount information acquisition unit 54 in the heat index indicated by the environmental information.

[0116] In this way, by utilizing the amount of sweat produced by the user, the accuracy of estimating the level of heat acclimatization can be improved.

[0117] Furthermore, the heat acclimatization level estimation unit 56 determines that the risk of heatstroke is high if the heat index is equal to or greater than the standard value of the heat index associated with the heat acclimatization level.

[0118] Furthermore, the heat acclimatization level estimation unit 56 determines that the risk of heatstroke is high if, based on the acquired heat index, the activity level acquired by the activity level information acquisition unit 54 is equal to or greater than the standard value of the activity level associated with the heat acclimatization level.

[0119] The heat acclimatization level estimation unit 56 determines that there is a high risk of heatstroke if the heat index in the activity amount acquired by the activity amount information acquisition unit 54 is equal to or greater than the standard value of the heat index associated with the heat acclimatization level.

[0120] Thus, by using a heat index or activity level that corresponds to the heat acclimatization level, the accuracy of estimating the heat acclimatization level can be improved.

[0121] Furthermore, in the heat acclimatization estimation device 10 of this embodiment, the environmental information acquisition unit 50 acquires a heat index. The heatstroke risk determination unit 60 estimates that the heat acclimatization level is low when the heat index is above the fourth predetermined value and the amount of sweat produced when the activity level is above the fifth predetermined value is below the sixth predetermined value.

[0122] According to this configuration, if the heat index is above the fourth predetermined value and the activity level is above the fifth predetermined value, but the amount of sweating is below the sixth predetermined value, it can be estimated that the level of heat adaptation is low, or "low heat acclimatization level." Therefore, for example, informing the user that their heat adaptation level is low can encourage an improvement in their heat acclimatization level.

[0123] [Heatstroke risk assessment process (1)] Next, the operation of the heat acclimatization estimation device 10 will be explained using Figure 4 and following the processing procedures executed by the processor 12 of the heat acclimatization estimation device 10.

[0124] Figure 4 shows matrix table 200 used for determining the risk of heatstroke. In this matrix table 200, the risk of heatstroke is determined in three stages.

[0125] When the processor 12 of the heat acclimatization estimation device 10 executes the heatstroke risk determination process from the program stored in the memory unit 30, the processor 12 obtains the WBGT value, which is an example of environmental information around the user, as the heat index.

[0126] The WBGT value is obtained using one of the methods described in the environmental information acquisition unit 50. The heat index indicated by the WBGT value is categorized as "safe," "caution," "warning," "severe warning," and "dangerous," depending on the risk of heatstroke.

[0127] Furthermore, the processor 12 obtains, as an example, the heat acclimatization level estimated in the heat acclimatization estimation process. Here, the heat acclimatization levels obtained are "heat acclimatization level 0", "heat acclimatization level low", "heat acclimatization level medium", and "heat acclimatization level high". "Heat acclimatization level 0" indicates that heat acclimatization has not progressed. As heat acclimatization progresses, the levels become "heat acclimatization level low", "heat acclimatization level medium", and "heat acclimatization level high".

[0128] Processor 12 determines the risk of heatstroke based on the heat index and the heat acclimatization level. Methods for determining the risk of heatstroke include simplified classification and detailed classification.

[0129] (Simple classification example) In a simplified classification example, as shown in Figure 4, the matrix table 200 is classified into four areas: Area 1 B1, Area 2 B2, Area 3 B3, Area 4 B4, and Area 5 B5, based on the combination of the acquired heat index and heat acclimatization level.

[0130] If the combination of the heat index and heat acclimatization level belongs to the first area B1, it will be indicated as "None" or "Low," indicating no risk of heatstroke. If the combination of the heat index and heat acclimatization level belongs to the second area B2, it will be indicated as "Medium," indicating a moderate risk of heatstroke.

[0131] If the combination of the heat index and the heat acclimatization level falls within the third area B3, the fourth area B4, or the fifth area B5, it is classified as "high," indicating a high risk of heatstroke.

[0132] Then, if the risk of heatstroke is "high," processor 12 will output a voice message such as, "Take immediate action." If the risk of heatstroke is "medium," processor 12 will output a voice message such as, "Be careful."

[0133] (Example of detailed classification) In the detailed classification example, the risk of heatstroke is subdivided according to the activity level at that time. As mentioned above, the activity level is obtained using the activity level information entered from the activity level information input unit 20. The obtained activity levels are then classified into low activity level, medium activity level, and high activity level according to predetermined thresholds.

[0134] In addition, in the first area B1 of Matrix Table 200, the risk of heatstroke is set to "none" or "low" regardless of the activity level, as described above.

[0135] In the second area B2 of Matrix Table 200, if the acquired activity level is classified as low activity level, the heatstroke risk is set to "medium (-)". Also in the second area B2, if the activity level is classified as medium activity level, the heatstroke risk is set to "medium". Furthermore, in the second area B2, if the activity level is classified as high activity level, the heatstroke risk is set to "medium (+)".

[0136] In the third area B3 of Matrix Table 200, the risk of heatstroke is considered "high (-)" when the activity level is classified as low or medium. Also, in the third area B3, the risk of heatstroke is considered "high" when the activity level is classified as high.

[0137] In Matrix Table 200, Area B4 of the fourth section, the risk of heatstroke is considered "high (-)" if the activity level is classified as low. In Area B4 of the fourth section, the risk of heatstroke is considered "high" if the activity level is classified as medium. Furthermore, in Area B4 of the fourth section, the risk of heatstroke is considered "high (+)" if the activity level is classified as high.

[0138] Furthermore, in the fifth area B5 of Matrix Table 200, the risk of heatstroke is classified as "high (+)" regardless of the level of activity.

[0139] In this embodiment, we describe a case where heatstroke risk determination processing is performed based on matrix table 200, but the invention is not limited to this. For example, the correspondence shown in matrix table 200 may be expressed by a mathematical formula, and heatstroke risk determination processing may be performed using this formula. Alternatively, heatstroke risk determination processing may be performed as shown below.

[0140] [Heatstroke risk assessment process (2)] Let's discuss other heatstroke risk assessment processes. Here, it's possible to predict the amount of sweating corresponding to the heat index based on the heat acclimatization level. In other words, once the heat acclimatization level has been determined, the heatstroke risk can be easily assessed using the heat acclimatization level and the heat index (WBGT value) without measuring the amount of sweating itself. Activity level can also be added to this assessment.

[0141] In other words, when the heatstroke risk determination process is selected based on the input from the input unit 32 of the heat acclimatization estimation device 10, the processor 12 executes the heatstroke risk determination process stored in the memory unit 30.

[0142] In this heatstroke risk assessment process, if the WBGT value, which indicates the heat index, exceeds a predetermined value, it is determined that the risk of heatstroke is high.

[0143] These predetermined values ​​can be determined by experience. Examples include the predetermined value x used for "high heat acclimatization level," the predetermined value y used for "medium heat acclimatization level," and the predetermined value z used for "low heat acclimatization level." The relationship between the predetermined values ​​x, y, and z is x > y > z. For example, x = severe caution, y = caution, and z = caution.

[0144] To explain in more detail, if the heat acclimatization estimation process is set to "high heat acclimatization level," the processor 12 assumes that there is a high risk of developing heatstroke when the WBGT value exceeds a predetermined value x, and therefore issues an alert to that effect via the notification unit 36 ​​and the display unit 34.

[0145] Furthermore, if the heat acclimatization estimation process is set to "medium heat acclimatization level," the processor 12 assumes that there is a high risk of developing heatstroke when the WBGT value exceeds a predetermined value y, and therefore issues an alert to that effect via the notification unit 36 ​​and the display unit 34.

[0146] Furthermore, if the heat acclimatization estimation process is set to "low heat acclimatization level," the processor 12 assumes that there is a high risk of developing heatstroke when the WBGT value exceeds a predetermined value z, and therefore issues an alert to that effect via the notification unit 36 ​​and the display unit 34.

[0147] (Taking activity level into account) This section explains the heatstroke risk assessment process that takes activity levels into account. In this process, if the activity level corresponding to the heat index exceeds a predetermined value, it is determined that the risk of heatstroke is high.

[0148] Furthermore, the memory unit 30 stores, as a data table, the amount of activity that increases the risk of heatstroke for each WBGT value indicating the heat index, for each heat acclimatization level.

[0149] In this heatstroke risk determination process, the processor 12 obtains, for example, the heat acclimatization level estimated in the heat acclimatization estimation process. The processor 12 then obtains the activity level corresponding to the obtained WBGT value from the data table stored in the storage unit 30.

[0150] Furthermore, if the acquired activity level exceeds the activity level corresponding to the WBGT value, it is assumed that there is a high risk of developing heatstroke, and an alert to that effect is issued by the notification unit 36 ​​and the display unit 34.

[0151] To explain in more detail, in the case of a "high heat acclimatization level," the system extracts activity levels based on the WBGT value, which indicates the heat index. If the acquired activity level exceeds the extracted activity level, the notification unit 36 ​​and the display unit 34 issue an alert to that effect.

[0152] In this embodiment, we have described a case where an alert is issued when the acquired activity amount exceeds the extracted activity amount, but this is not the only case. For example, an alert may be issued when the heat index exceeds a predetermined value of the heat index corresponding to the activity amount.

[0153] [Mechanism of action and effect of heatstroke risk assessment processing] Next, we will explain the effects and benefits of the heatstroke risk assessment process.

[0154] The heat acclimatization estimation device 10 in this embodiment further includes a heatstroke risk determination unit 60 that determines the risk of heatstroke based on the heat acclimatization level and the heat index.

[0155] This configuration allows for the determination of the appropriate heatstroke risk for each user, even if they have different levels of heat tolerance. This makes it possible to individually assess the heatstroke risk for each user.

[0156] Until now, no device had been developed to quantitatively acquire heat acclimatization data, and there was no device that could individually notify users of their heatstroke risk. As a result, some users received alerts even when there was no risk of heatstroke, forcing them to interrupt their work. In addition, some users experienced early symptoms of heatstroke even when no alert was issued.

[0157] Furthermore, in this embodiment, the risk of heatstroke can be determined by indirectly using the amount of sweat predicted based on the heat acclimatization level, without measuring the amount of sweat itself. Since the measurement results of the sweat meter are not required, when determining the risk of heatstroke, it is not necessary to attach the device to the user's skin in close contact, and the user has more freedom in how they wear the device, for example, by hanging it around their neck or putting it in a breast pocket. In other words, according to this embodiment, after determining the heat acclimatization level, the user can carry the device in their preferred way, and the risk of heatstroke will be determined according to criteria suitable for the user, without increasing the burden on the user in determining the risk of developing heatstroke that is suitable for them.

[0158] Furthermore, sweat meters produce errors in their measurement results if sweat generated immediately beforehand remains at the measurement site without evaporating. Therefore, a mechanism is needed to facilitate the evaporation of residual sweat, which complicates the device. In this embodiment, since the measurement results of a sweat meter are not required when determining the risk of heatstroke, it is not necessary to continuously measure the amount of sweat, and the risk of heatstroke can be determined without providing the above-mentioned mechanism.

[0159] In contrast, the heat acclimatization estimation device 10 of this embodiment can solve these problems with the configuration described above.

[0160] In this embodiment, the risk of heatstroke may also be determined using the amount of sweat produced. In this case, the environmental information acquisition unit 50 of the heat acclimatization estimation device 10 acquires a heat index. The heatstroke risk determination unit 60 then determines that the risk of heatstroke is high if the amount of sweat produced corresponding to a predetermined heat index is below a specified value.

[0161] This heatstroke risk assessment process allows for the prediction of sweat volume corresponding to the heat index based on the heat acclimatization level, and it can determine if the sweat volume corresponding to a given heat index is below a specified value.

[0162] In this case, if sweating does not exceed the amount corresponding to the level of activity, it is possible to determine that the risk of heatstroke is high based on that heat index.

[0163] [Heat acclimatization promotion treatment] Figure 5 is a flowchart showing an example of a heat acclimatization promotion process performed by the heat acclimatization estimation device 10 according to the first embodiment. Figure 6 is a flowchart showing the process following Figure 5.

[0164] When the processor 12 of the heat acclimatization estimation device 10 executes the heat acclimatization promotion process stored in the memory unit 30, the processor 12 instructs the wearer to wear clothing based on the temperature and humidity from the environmental information input unit 14 and the sweat amount input unit 16 (step SC2).

[0165] To give a specific example, if the temperature and humidity are low, the display unit 34 and notification unit 36 ​​will notify the user to wear a long-sleeved windbreaker or jersey. If the temperature and humidity are high, the display unit 34 and notification unit 36 ​​will notify the user to wear short-sleeved shirts and shorts for training.

[0166] In step SC2, instructions regarding activity level may be given instead of clothing. Specifically, if the activity level included in the activity level information is below a first predetermined value (predetermined value), the activity notification unit 58 may notify the user of actions that promote sweating.

[0167] Then, it is determined whether the amount of sweat calculated based on the humidity from the sweat amount input unit 16 is equal to or greater than a predetermined value (step SC4). One example of the predetermined value used in the determination in step SC4 is the amount of sweat that can be confirmed from the humidity obtained by the sweat amount input unit 16.

[0168] In step SC4, if the amount of sweat is below a predetermined value, the system branches off to step SC8. Also, in step SC4, if the amount of sweat is above a predetermined value, the display unit 34 and notification unit 36 ​​notify the user to replenish fluids (step SC6). This prevents dehydration caused by exercise by encouraging fluid intake if sweating is observed before the start of exercise.

[0169] Then, the display unit 34 and notification unit 36 ​​notify the user of exercise instructions to initiate exercise, encouraging them to start light exercise (step SC8).

[0170] Next, it is determined whether the activity level obtained from the activity level information input unit 20 is equal to or greater than a predetermined value (step SC10). One example of the predetermined value used in the determination in step SC10 is the activity level that is expected to result in sweating if exercise is performed at the current temperature.

[0171] If step SC10 determines that the activity level is below a predetermined value, the system waits until the activity level reaches or exceeds the predetermined value.

[0172] If the activity level exceeds a predetermined value in step SC10, the humidity is input from the sweat volume input unit 16 (step SC12), and it is determined whether the amount of sweat calculated from the input humidity is equal to or greater than a predetermined value (step SC14). The predetermined value used in the determination in step SC14 is, as an example, the amount of sweat that is expected to occur when exercising at the activity level obtained at the current temperature.

[0173] If step SC14 determines that the amount of sweat is below a predetermined value, the process branches to step SC10, where the exercise continues and the activity level and amount of sweat are repeatedly assessed. If step SC14 determines that the amount of sweat is above a predetermined value, the exercise time from the start of the exercise until the amount of sweat exceeds the predetermined value is obtained from the clock unit 38 (step SC16). In step SC16, a notification that the exercise has ended may also be issued.

[0174] Here, the start time of exercise may be measured from the moment the exercise begins, or from the moment the activity level exceeds a predetermined value.

[0175] Next, the heat acclimatization level is estimated based on the acquired exercise time (step SC18). Specifically, the activity intensity (METs) is determined from the acquired activity amount, and the heat acclimatization level, which is the level of adaptability to heat, is estimated from the exercise time until sweating occurs when exercising at this exercise intensity.

[0176] Furthermore, when estimating the heat acclimatization level, a data table or the like pre-recorded in the memory unit 30 may be used.

[0177] Next, the activity level and time information indicating the duration of exercise, which were used to estimate the heat acclimatization level, are recorded in the memory unit 30 (step SC20).

[0178] Then, if past data recorded in the memory unit 30 is stored, the activity level and exercise information used to estimate the heat acclimatization level are compared with the past data (step SC22). This allows the heat acclimatization level estimated from the current data and the heat acclimatization level obtained from past data to be evaluated based on the changes in time information stored in the memory unit 30. In other words, the degree of improvement in the heat acclimatization level is evaluated.

[0179] Based on this evaluation, it is possible to understand how much the heat acclimatization level has improved since the last measurement. Furthermore, it is possible to create training menus and other programs necessary to raise the heat acclimatization level to a predetermined value before summer arrives.

[0180] If the activity level obtained at the present time differs from the activity level recorded in the past, the activity level calculated from the activity level and exercise time can be corrected using METs (Metabolic Equivalents).

[0181] Then, the training menu corresponding to the comparison results in step SC22 is announced by the notification unit 36 ​​and the display unit 34 (step SC24), and the heat acclimatization process is completed.

[0182] [Mechanism of action and effects of heat acclimatization treatment] Next, we will explain the effects of heat acclimatization treatment.

[0183] The heat acclimatization estimation device 10 in this embodiment estimates the level of adaptability to heat in the same way as the heat acclimatization estimation process described above. Therefore, it can achieve the same effects as the heat acclimatization estimation process described above.

[0184] Furthermore, the heat acclimatization estimation device 10 in this embodiment includes an exercise notification unit 62 that notifies the user to perform a predetermined exercise based on the heat acclimatization level estimated by the heat acclimatization level estimation unit 56.

[0185] With this configuration, if the estimated heat acclimatization level is low, encouraging users to perform a prescribed exercise can promote improvement in their heat acclimatization level.

[0186] Furthermore, the heat acclimatization estimation device 10 in this embodiment further includes a sweat time acquisition unit 64 that acquires the time it takes for the amount of sweat produced by a user to reach a predetermined amount when the user performs a predetermined exercise.

[0187] This configuration makes it easy to estimate the heat acclimatization level, which is the level of adaptability to heat, by using the exercise time until sweating is observed.

[0188] Furthermore, the heat acclimatization estimation device 10 in this embodiment has a recording unit 66 that records time information indicating the time acquired by the sweating time acquisition unit 64, and evaluates the heat acclimatization level based on the changes in the time information recorded by the recording unit 66.

[0189] This configuration allows us to understand how much the heat acclimatization level has improved since the last measurement based on this evaluation. Furthermore, it enables the creation and notification of necessary training menus to raise the heat acclimatization level to a predetermined value by a specified date.

[0190] Here, Figure 7 is a diagram showing the relationship between heat acclimatization level and sweat volume. As shown in Figure 7, as the heat acclimatization level increases through training, sweat volume increases, and the ability to adapt to heat improves.

[0191] In this embodiment, the heat acclimatization estimation device 10 has been described in a case where it constitutes the parts described above, but it is not limited to this. For example, as shown in the second embodiment, the parts may be composed of different devices.

[0192] The heat acclimatization estimation device 10 in this embodiment further includes an action notification unit 58 that notifies the user of actions that promote sweating when the activity level included in the activity level information is less than or equal to a first predetermined value (predetermined value).

[0193] This configuration allows for the measurement of sweating even when no sweating is observed and the heat acclimatization level cannot be estimated, by notifying the user of actions that promote sweating. This makes it possible to estimate the heat acclimatization level even for users with a low heat acclimatization level.

[0194] <Second Embodiment> The heat acclimatization estimation system according to the second embodiment will be described below. Parts identical or equivalent to those in the first embodiment will be denoted by the same reference numerals and their descriptions will be omitted; only the different parts will be described.

[0195] The heat acclimatization estimation system according to the second embodiment is composed of multiple devices. Each device comprises one of the following: an environmental information acquisition unit 50, a sweat volume acquisition unit 52, an activity level information acquisition unit 54, a heat acclimatization level estimation unit 56, an activity notification unit 58, a heatstroke risk determination unit 60, an exercise notification unit 62, a sweat time acquisition unit 64, and a recording unit 66. Each device as a whole constitutes one of these parts.

[0196] As an example, the environmental information acquisition unit 50, which acquires information about the user's surroundings, is configured as a server device on the Internet. This server device acquires information including the user's surroundings and stores it so that it can be distributed via the Internet.

[0197] Furthermore, the sweat volume acquisition unit 52, activity level information acquisition unit 54, heat acclimatization level estimation unit 56, behavior notification unit 58, heatstroke risk determination unit 60, exercise notification unit 62, sweat time acquisition unit 64, and recording unit 66 are all configured on a terminal device used by the user. The terminal device acquires environmental information from a server device via the internet.

[0198] Thus, even a heat acclimatization estimation system composed of a server device and terminal devices can achieve the same effects as the first embodiment.

[0199] Although embodiments of the present invention have been described above, these embodiments only represent a part of the application examples of the present invention, and are not intended to limit the technical scope of the present invention to the specific configurations of the above embodiments. [Explanation of Symbols]

[0200] 10 Heat acclimatization estimation device 12 processors 30 Storage section 50 Environmental Information Acquisition Department 52 Sweat volume acquisition section 54 Activity information acquisition department 56 Heat acclimatization level estimation section 58 Action Reporting Department 60 Heatstroke Risk Assessment Department 62 Sports News Department 64 Sweating time acquisition section 66 Records Section

Claims

1. An environmental information acquisition unit that acquires environmental information about the user's surroundings, A sweat amount acquisition unit that acquires the amount of sweat from the user, The activity level information acquisition unit acquires activity level information of the aforementioned user, An estimation unit that estimates the user's heat acclimatization level, divided into multiple stages, based on the acquired environmental information, sweat amount, and activity level information, A determination unit that determines the user's risk of heatstroke based on the heat index included in the environmental information, Based on the heat acclimatization level estimated by the estimation unit, an exercise notification unit notifies the user to encourage a predetermined exercise, The system includes a sweat time acquisition unit that acquires the time it takes for the amount of sweat produced by the user to reach a predetermined amount when the user performs the predetermined exercise, The determination unit determines the degree of heatstroke risk for the user based on the heat index and the user's heat acclimatization level estimated by the estimation unit. Heat acclimation estimation device.

2. A heat acclimatization estimation device according to claim 1, The estimation unit estimates that the heat acclimatization level is high when the amount of sweat is equal to or greater than the standard value of sweat associated with the activity level information acquired by the activity level information acquisition unit. Heat acclimation estimation device.

3. A heat acclimatization estimation device according to claim 1 or claim 2, The estimation unit estimates that the heat acclimatization level is high when the amount of sweat is equal to or greater than the standard value of sweat associated with the activity level information acquired by the activity level information acquisition unit in the heat index indicated by the environmental information. Heat acclimation estimation device.

4. A heat acclimatization estimation device according to any one of claims 1 to 3, The system further includes an activity notification unit that notifies the user of actions that promote sweating when the activity level included in the activity level information is below a predetermined value. Heat acclimation estimation device.

5. A heat acclimatization estimation device according to claim 1, The determination unit determines that the risk of heatstroke is high when the heat index is equal to or greater than the standard value of the heat index associated with the heat acclimatization level. Heat acclimation estimation device.

6. A heat acclimatization estimation device according to claim 5, The determination unit determines that the risk of heatstroke is high if, in the heat index, the activity level acquired by the activity level information acquisition unit is equal to or greater than the standard value of the activity level associated with the heat acclimatization level. Heat acclimation estimation device.

7. A heat acclimatization estimation device according to claim 5, The determination unit determines that the risk of heatstroke is high if the heat index in the activity amount acquired by the activity amount information acquisition unit is equal to or greater than the standard value of the heat index corresponding to the heat acclimatization level. Heat acclimation estimation device.

8. A heat acclimatization estimation device according to claim 1, It has a recording unit that records time information indicating the time obtained by the sweat time acquisition unit, The heat acclimatization level is evaluated based on the changes in the time information recorded by the recording unit. Heat acclimation estimation device.

9. A heat acclimatization estimation method performed by a processor, By acquiring information about the environment surrounding the user, The amount of sweat produced by the aforementioned user is obtained, The activity level information of the aforementioned user is obtained, Based on the acquired environmental information, sweat volume, and activity level information, the user's heat acclimatization level, divided into multiple stages, is estimated. Based on the heat index included in the aforementioned environmental information, the user's risk of heatstroke is determined. In addition to the aforementioned heat index, the degree of heatstroke risk for the user is determined based on the user's heat acclimatization level. Based on the estimated heat acclimatization level, the system notifies the user to perform a predetermined exercise. The time it takes for the amount of sweat to reach a predetermined amount when the user performs the predetermined exercise is obtained. Heat acclimation estimation method.

10. A processor that estimates heat acclimatization, Procedure for acquiring environmental information to obtain information about the environment surrounding the user, A procedure for obtaining the amount of sweat produced by the user, A procedure for obtaining activity level information to obtain the activity level information of the aforementioned user, An estimation procedure for estimating the user's heat acclimatization level, divided into multiple stages, based on the acquired environmental information, sweat volume, and activity level information, A determination procedure for determining the user's risk of heatstroke based on the heat index included in the environmental information, An exercise notification procedure that notifies the user to perform a predetermined exercise based on the heat acclimatization level estimated in the estimation procedure, A heat acclimatization estimation program for executing a sweat time acquisition procedure, which involves acquiring the time it takes for the amount of sweat to reach a predetermined amount when the user performs the predetermined exercise, The determination procedure determines the degree of heatstroke risk for the user based on the heat index as well as the user's heat acclimatization level. program.

11. A heat acclimatization estimation system having multiple devices for estimating heat acclimatization, An environmental information acquisition unit that acquires environmental information about the user's surroundings, A sweat amount acquisition unit that acquires the amount of sweat from the user, The activity level information acquisition unit acquires activity level information of the aforementioned user, An estimation unit that estimates the user's heat acclimatization level, divided into multiple stages, based on the acquired environmental information, sweat amount, and activity level information, A determination unit that determines the user's risk of heatstroke based on the heat index included in the environmental information, Based on the heat acclimatization level estimated by the estimation unit, an exercise notification unit notifies the user to encourage a predetermined exercise, The system includes a sweat time acquisition unit that acquires the time it takes for the amount of sweat produced by the user to reach a predetermined amount when the user performs the predetermined exercise, The determination unit determines the degree of heatstroke risk for the user based on the heat index as well as the user's heat acclimatization level. Heat acclimatization estimation system.