Health management system
The health management system improves health condition detection and stimulus provision by using detection devices in wet areas like toilets and bathrooms, providing personalized and accurate health management through biometric monitoring and stimulation.
Patent Information
- Application Number
- JP2024054299
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-28
- Publication Date
- 2025-10-09
AI Technical Summary
Existing health management systems struggle to accurately detect and manage user health conditions due to variations in daily actions, particularly in wet areas like toilets and bathrooms, leading to inaccurate detection and stimulus provision.
A health management system that includes detection devices in wet areas like toilets and bathrooms to monitor user behavior and biometric data, combined with stimulation devices to provide personalized and accurate health-related stimuli based on detection results, and an estimation unit to assess health conditions.
Enhances the accuracy of health condition detection and stimulus provision by leveraging consistent user behavior in wet areas, allowing for personalized and coordinated health management across multiple water-related spaces.
Smart Images

Figure 2025152416000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to a health care system. [Background technology]
[0002] BACKGROUND ART Systems for supporting people's health have been known for some time.
[0003] For example, Patent Document 1 describes a system that installs various sensors in a living space, such as load sensors installed on handrails and sensors for opening and closing front doors, to detect the user's condition and generate information indicating the user's walking speed, grip strength, etc. as provided information. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Patent Publication No. 2021-18760 Summary of the Invention [Problem to be solved by the invention]
[0005] However, although the method disclosed in Patent Document 1 detects the daily state of a user, the actions that a user takes in daily life are diverse, and variations in each action are likely to occur. When variations occur in each action, the user's state cannot be detected with high accuracy.
[0006] In view of the above problems, an object of the present invention is to provide a health management system that can detect the condition of a user with high accuracy. [Means for solving the problem]
[0007] In order to solve the above problems, according to a first aspect of the present invention, there is provided the following health management system: This health management system manages the health of a user in a space having a wet area including a toilet, a washbasin, a kitchen, or a bathroom, and includes a detection device provided in the space having the wet area that detects the user using the wet area, and a stimulation device provided in the space having the bathroom that applies a predetermined stimulation to the user based on the detection result by the detection device.
[0008] With this configuration, since users tend to behave in the same way in wet spaces, detecting a user in the wet space makes it possible to detect the user's condition with higher accuracy than detecting a user in a living space other than the wet space. Also, by providing a stimulus to the user in the bathroom based on the detection result of the user in the wet space, it becomes possible to provide a more effective stimulus that corresponds to the user's condition compared to providing a stimulus to the user not based on the detection result of the user.
[0009] In addition, the health management system according to the second aspect of the present invention further includes a processing device having an estimation unit that estimates the health condition of the user, and the stimulation device provides a predetermined stimulation to the user based on the estimated health condition of the user.
[0010] This configuration makes it possible to estimate the health condition of a user using the bathroom area. Furthermore, it is possible to provide a predetermined stimulus based on the user's health condition. This makes it possible to provide a more effective stimulus that corresponds to the user's health condition compared to when the user's health condition is not estimated.
[0011] In addition, the health management system according to the third aspect of the present invention further includes an identification device that is provided in the space and identifies the multiple users who use the wet area, and the stimulation device provides a predetermined stimulation to the users based on the health condition of the identified users.
[0012] According to this configuration, when multiple users use the bathroom area, it becomes necessary to record the health status of each user when giving a predetermined stimulus to the user based on their health status. Therefore, by providing an identification device, it becomes possible for multiple users to use the health management system.
[0013] In addition, a health management system according to a fourth aspect of the present invention is a health management system that manages the health of users in a space having a water-related area including a toilet and a bathroom, and is equipped with a detection device that is provided in the space having the toilet and detects the user using the toilet, and a stimulation device that is provided in the space having the bathroom and gives a predetermined stimulation to the user based on the detection result by the detection device.
[0014] According to this configuration, since toilets are wet areas where users are particularly likely to behave in the same way, by detecting users using the toilet, it is possible to detect the health condition of the users with higher accuracy than when users using the toilet are not detected.
[0015] In addition, in the health management system according to a fifth aspect of the present invention, the detection device detects the excretion state of the user.
[0016] With this configuration, the excretion status, such as the color, composition, and time of excretion of the excrement, reflects the user's health status, making it possible to detect the user's health status with higher accuracy than if the user's excretion status were not detected.
[0017] In addition, in the health management system according to a sixth aspect of the present invention, the detection device detects biometric data of the user.
[0018] According to this configuration, biometric data such as blood flow and heart rate reflect the health condition of the user, so it is possible to detect the health condition of the user with higher accuracy compared to when the biometric data of user 5 is not detected.
[0019] In addition, in the health management system according to a seventh aspect of the present invention, at least one of the detection devices is provided in the space having the wet area including the toilet, the washbasin, or the kitchen.
[0020] According to this configuration, by providing stimulation to the user in the bathroom based on the detection results of the user detected in a water-related area other than the bathroom, it becomes possible to manage the health of the user 5 in a coordinated manner between multiple water-related areas, compared to when providing stimulation to the user in the bathroom based only on the detection results of the user detected in the bathroom.
[0021] In addition, in a health management system according to an eighth aspect of the present invention, at least two or more detection devices are provided in the space, and the estimation unit estimates the health condition of the user based on the detection results of each of the multiple detection devices.
[0022] According to this configuration, by combining the detection results of multiple detection devices, it is possible to estimate the user's health condition with higher accuracy compared to estimating the user's health condition based on the detection result of a single detection device.
[0023] In addition, in a health management system according to a ninth aspect of the present invention, at least one detection device is provided in the space having the toilet and at least one detection device is provided in the space having the bathroom, and the estimation unit estimates the health condition of the user based on the detection results of each of the multiple detection devices.
[0024] According to this configuration, by detecting the user in the toilet and the bathroom, which is the space where stimulation is provided, it is possible to provide more effective stimulation that corresponds to the user's health condition, compared to, for example, not detecting the user in the bathroom.
[0025] In addition, in a health management system according to a tenth aspect of the present invention, the stimulation device provides a predetermined stimulus to the user based on a predetermined criterion that associates a predetermined health state with a predetermined type of stimulus and the user's health state estimated by the estimation unit.
[0026] According to this configuration, it is possible to provide more effective stimulation corresponding to the health condition of the user compared to when a predetermined standard associating the health condition with the stimulation is not set.
[0027] In addition, in the health management system according to an eleventh aspect of the present invention, the stimulation device applies a physical stimulation to the body of the user as the predetermined stimulation.
[0028] This configuration allows a physical stimulus to be given to the user.
[0029] In addition, in the health management system according to the twelfth aspect of the present invention, the stimulation device provides the user with the predetermined stimulation by controlling the amount of water, water temperature, water flow velocity, or water flow pattern in the bathtub in the bathroom, or changes in the amount of water, water temperature, water flow velocity, or water flow pattern.
[0030] With this configuration, the user can be given physical stimulation by the hot and cold water in the bathtub.
[0031] In addition, in the health management system according to a thirteenth aspect of the present invention, the stimulation device provides the predetermined stimulation to the user by controlling the form of water discharge from a shower device provided in the bathroom.
[0032] With this configuration, the shower device can provide a physical stimulus to the user.
[0033] In addition, in the health management system according to a fourteenth aspect of the present invention, the stimulation device controls a sound device or a light installed in the bathroom to provide the user with the predetermined stimulation.
[0034] This configuration allows a visual or auditory stimulus to be given to the user.
[0035] In addition, in a health management system according to a fifteenth aspect of the present invention, the processing device further has a generation unit that uses the estimation results of the estimation unit to generate recommended information that is health-related suggestions for the user, and a notification unit that notifies the recommended information.
[0036] According to this configuration, the recommended information allows the user to recognize health-related information, and encourages the user to change their behavior. [Effects of the Invention]
[0037] According to the health management system of the present invention, the condition of the user can be detected with high accuracy. [Brief explanation of the drawings]
[0038] [Figure 1] 1 is a schematic diagram illustrating an example of the overall configuration of a system according to an embodiment of the present invention. [Figure 2] FIG. 10 is a diagram showing an example of a detection device provided in a toilet space. [Figure 3] FIG. 10 is a diagram showing an example of a detection device installed in a bathroom space. [Figure 4] FIG. 10 is a diagram showing an example of a detection device provided in a washroom space. [Figure 5] FIG. 10 is a diagram showing an example of a detection device provided in a kitchen space. [Figure 6] FIG. 2 is a diagram illustrating an example of a hardware configuration of a processing device. [Figure 7] FIG. 2 is a block diagram showing an example of various functions of the processing device. [Figure 8] FIG. 10 is a diagram showing an example of a stimulation device installed in a bathroom space. [Figure 9] 10 is a flowchart showing an example of the process flow of detection by a detection device in a toilet space and individual estimation by a processing device. [Figure 10] 10 is a flowchart showing an example of a flow of comprehensive estimation by the processing device. [Figure 11] 10 is a diagram showing an example of a screen when a notification unit notifies a user terminal. FIG. [Figure 12] 10 is a flowchart showing an example of a flow of stimulation by a processing device and a stimulation device in a bathroom space. DETAILED DESCRIPTION OF THE INVENTION
[0039] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. To facilitate understanding of the description, the same components in the drawings will be denoted by the same reference numerals as much as possible, and duplicated descriptions will be omitted.
[0040] <Embodiment> First, a system 1 according to the first embodiment will be described.
[0041] <Overall structure> FIG. 1 is a schematic diagram showing an example of the overall configuration of a system 1 according to this embodiment.
[0042] As shown in FIG. 1, the system 1 includes a health management system 2, a user terminal 3, and an external device 4.
[0043] The health management system 2 includes a processing device 10, a detection device 11, and a stimulation device 70. The health management system 2 manages the health of a user 5. In this embodiment, the places in a living space where water is used are referred to as "wet areas." Specifically, the wet areas are the toilet 6, bathroom 7, sink 8, and kitchen 9. In this embodiment, a space having a wet area is referred to as a "wet space." Specifically, the wet space corresponding to the toilet 6 is referred to as the "toilet space K1." Furthermore, the wet space corresponding to the bathroom 7 is referred to as the "bathroom space K2." Furthermore, the wet space corresponding to the sink 8 is referred to as the "washing space K3." Furthermore, the wet space corresponding to the kitchen 9 is referred to as the "kitchen space K4."
[0044] In this embodiment, the wet area is described as being a toilet 6, a bathroom 7, a washbasin 8, and a kitchen 9 as an example, but at least one of the toilet 6, the bathroom 7, the washbasin 8, and the kitchen 9 may be the wet area.
[0045] The processing device 10 is an information processing device that estimates the health condition of the user 5. The processing device 10 is, for example, a server device.
[0046] The detection device 11 is a device that detects a user 5. The detection device 11 is provided corresponding to each of the wet spaces. That is, the detection device 11 is provided corresponding to each of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4.
[0047] The stimulation device 70 is a device that provides a predetermined stimulation to the user 5. Specifically, the stimulation device 70 provides a predetermined stimulation to the user 5 based on the detection result by the detection device 11. The stimulation device 70 is provided in the bathroom space K2.
[0048] The user terminal 3 is an information processing device used by the user 5. The user terminal 3 is, for example, a smartphone, a personal computer, a tablet, etc. In this embodiment, the user terminal 3 is, for example, a smartphone.
[0049] The external device 4 is, for example, a wearable terminal worn by the user 5, or a mobile terminal used by the user 5. It is also possible for the user terminal 3 to be the external device 4. In this embodiment, an example is taken where the external device 4 is a wearable terminal. The external device 4 is capable of communicating with the processing device 10. External data can be provided from the external device 4 to the processing device 10. The external data is, for example, step count data. It is to be noted that the external device 4 is not limited to the above.
[0050] <Configuration of detection device 11> FIG. 2 is a diagram showing an example of the detection device 11 provided in the toilet space K1.
[0051] As shown in FIG. 2, the detection device 11 includes a biosensor 12a, a posture sensor 13a, an identification sensor 14a, an entrance / exit sensor 15a, an excretion sensor 61, and a communication unit 16a.
[0052] The biosensor 12a is provided in the toilet space K1. The biosensor 12a is a detection device for detecting the physical condition of a user 5 using the toilet 6. Specifically, the biosensor 12a detects biometric data of the user 5. For example, the biosensor 12a is a sensor that measures the blood flow and heart rate of the user 5, a temperature sensor that measures the body temperature of the user 5, an image sensor that captures an image of the face of the user 5, etc. The biosensor 12a is, for example, a laser sensor, an infrared sensor, a camera, etc.
[0053] The posture sensor 13a is provided in the toilet space K1. The posture sensor 13a is a detection device that detects the physical state of a user 5 using the toilet 6. Specifically, the posture sensor 13a detects information related to the posture of the user 5. The information related to posture is, for example, the posture, behavior, action, state, sound, etc. of the user 5. The posture sensor 13a is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, a microphone, etc.
[0054] The identification sensor 14a is provided in the toilet space K1. The identification sensor 14a is an identification device that identifies each of multiple users 5 using the toilet 6. For example, three users 5 using the toilet 6, namely, user ID1, user ID2, and user ID3, are registered in advance, and the identification sensor 14a identifies whether the user 5 using the toilet 6 is user ID1, user ID2, or user ID3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the user 5 may be performed by the identification sensor 14a or by the processing device 10 described above.
[0055] The entry / exit sensor 15a is provided in the toilet space K1. The entry / exit sensor 15a is an entry / exit detection device that detects entry and exit of a user 5 into the toilet space K1. For example, the entry / exit sensor 15a is an open / close sensor provided on the door of the toilet space K1, a sensor that detects the presence or absence of a person in the toilet space K1, etc. The identification sensor 14a identifies the user 5 present in the toilet space K1 when entry of the user 5 into the toilet space K1 is detected. In other words, after entry is detected by the entry / exit sensor 15a, identification is performed by the identification sensor 14a. Note that the entry / exit sensor 15a may also be an entry detection device that detects entry.
[0056] The excretion sensor 61 is provided in the toilet space K1. The excretion sensor 61 is a detection device for detecting the physical condition of the user 5 using the toilet 6. Specifically, the excretion sensor 61 detects the excretion state of the user 5. The excretion state includes the state of the excreta, the time and number of times the user 5 excretes, the sound made during excretion, etc. The excreta includes, but is not limited to, feces, urine, and flatulence. The excretion sensor 61 acquires information about the excretion of the user 5. The excretion information here includes, for example, the presence or absence of excreta from the user, the color, shape, composition, odor, and amount of the excreta, the time and number of times the user 5 excretes, the sound made during excretion, etc., but is not limited to these. The excretion sensor 61 is, for example, a laser sensor, a gas sensor, a camera, an infrared sensor, a microphone, etc.
[0057] The biological sensor 12a, the posture sensor 13a, the identification sensor 14a, the entry / exit sensor 15a, and the excretion sensor 61 may be provided at the same position in the toilet space K1 or at different positions.
[0058] The communication unit 16a is a device that transmits the detection results of the biosensor 12a, the posture sensor 13a, the entrance / exit sensor 15a, or the excretion sensor 61, the identification result of the identification sensor 14a, etc. to the processing device 10. As a result, the results of each sensor are collected in the processing device 10.
[0059] FIG. 3 is a diagram showing an example of the detection device 11 installed in the bathroom space K2.
[0060] As shown in FIG. 3, the detection device 11 includes a biosensor 12b, a posture sensor 13b, an identification sensor 14b, an entrance / exit sensor 15b, and a communication unit 16b.
[0061] Biometric sensor 12b is provided in bathroom space K2. Biometric sensor 12b is a detection device for detecting the physical condition of user 5 using bathroom 7. Specifically, biometric sensor 12b detects biometric data of user 5. For example, biometric sensor 12b is a sensor that measures the blood flow and heart rate of user 5, a temperature sensor that measures the body temperature of user 5, an image sensor that captures an image of the face of user 5, etc. Biometric sensor 12b is, for example, a laser sensor, an infrared sensor, a camera, etc.
[0062] Posture sensor 13b is provided in bathroom space K2. Posture sensor 13b is a detection device that detects the physical condition of user 5 using bathroom 7. For example, posture sensor 13b detects user 5 using bathtub 7a. Specifically, posture sensor 13b detects information related to the posture of user 5. Information related to posture includes, for example, the posture, behavior, action, state, sound, etc. of user 5. Posture sensor 13b is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, a microphone, etc.
[0063] The identification sensor 14b is provided in the bathroom space K2. The identification sensor 14b is an identification device that identifies each of the multiple users 5 who use the bathroom 7. For example, three users 5, namely, user ID1, user ID2, and user ID3, are registered in advance as users 5 who will use the bathroom 7, and the identification sensor 14b identifies whether the user 5 who uses the bathroom 7 is user ID1, user ID2, or user ID3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the user 5 may be performed by the identification sensor 14b or by the processing device 10 described above.
[0064] The entry / exit sensor 15b is provided in the bathroom space K2. The entry / exit sensor 15b is an entry / exit detection device that detects the entry and exit of a user 5 into the bathroom space K2. For example, the entry / exit sensor 15b is an open / close sensor provided on the door of the bathroom space K2, a sensor that detects the presence or absence of a person in the bathroom space K2, or the like. The identification sensor 14b identifies the user 5 in the bathroom space K2 when the entry of the user 5 into the bathroom space K2 is detected. In other words, after the entry is detected by the entry / exit sensor 15b, the identification sensor 14b performs identification. The entry / exit sensor 15b may also be an entry detection device that detects entry.
[0065] The biological sensor 12b, the posture sensor 13b, the identification sensor 14b, and the entrance / exit sensor 15b may be provided at the same position in the bathroom space K2 or at different positions.
[0066] The communication unit 16b is a device that transmits the detection results of the biosensor 12b, the posture sensor 13b, or the entrance / exit sensor 15b, the identification results of the identification sensor 14b, etc. to the processing device 10. As a result, the results of each sensor are collected in the processing device 10.
[0067] FIG. 4 is a diagram showing an example of the detection device 11 provided in the washroom space K3.
[0068] As shown in FIG. 4, the detection device 11 includes a biosensor 12c, a posture sensor 13c, an identification sensor 14c, an entrance / exit sensor 15c, and a communication unit 16c.
[0069] The biometric sensor 12c is provided in the washroom space K3. The biometric sensor 12c is a detection device for detecting the physical condition of the user 5 who uses the washroom 8. The washroom 8 is specifically a vanity. The biometric sensor 12c also detects biometric data of the user 5. For example, the biometric sensor 12c is a sensor that measures the blood flow and heart rate of the user 5, a temperature sensor that measures the body temperature of the user 5, an image sensor that captures an image of the face of the user 5, etc. The biometric sensor 12c is, for example, a laser sensor, an infrared sensor, a camera, etc.
[0070] The posture sensor 13c is provided in the washroom space K3. The posture sensor 13c is a detection device that detects a user 5 using the washroom 8. Specifically, the posture sensor 13c detects information related to the posture of the user 5. The posture sensor 13c is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, a microphone, etc.
[0071] The identification sensor 14c is provided in the washroom space K3. The identification sensor 14c is an identification device that identifies each of the multiple users 5 who use the washroom 8. For example, three users 5, namely, user ID1, user ID2, and user ID3, are registered in advance as users 5 who will use the washroom 8, and the identification sensor 14c identifies whether the user 5 who uses the washroom 8 is user ID1, user ID2, or user ID3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the user 5 may be performed by the identification sensor 14c or by the processing device 10 described above.
[0072] The entry / exit sensor 15c is provided in the washroom space K3. The entry / exit sensor 15c is an entry / exit detection device that detects the entry and exit of a user 5 into the washroom space K3. For example, the entry / exit sensor 15c is an open / close sensor provided on the door of the washroom space K3, a sensor that detects the presence or absence of a person in the washroom space K3, or the like. The identification sensor 14c identifies the user 5 in the washroom space K3 when the entry of the user 5 into the washroom space K3 is detected. In other words, after the entry is detected by the entry / exit sensor 15c, the identification sensor 14c performs identification. The entry / exit sensor 15c may also be an entry detection device that detects entry.
[0073] The biosensor 12c, the posture sensor 13c, the identification sensor 14c, and the entrance / exit sensor 15c may be provided at the same position in the washroom space K3 or at different positions.
[0074] The communication unit 16c is a device that transmits the detection results of the biosensor 12c, the posture sensor 13c, or the entrance / exit sensor 15c, the identification results of the identification sensor 14c, etc. to the processing device 10. As a result, the results of each sensor are collected in the processing device 10.
[0075] FIG. 5 is a diagram showing an example of the detection device 11 provided in the kitchen space K4.
[0076] As shown in FIG. 5, the detection device 11 includes a biosensor 12d, a posture sensor 13d, an identification sensor 14d, an entrance / exit sensor 15d, and a communication unit 16d.
[0077] The biosensor 12d is provided in the kitchen space K4. The biosensor 12d is a detection device for detecting the physical condition of the user 5 who uses the kitchen 9. The kitchen 9 includes, for example, a sink and cooking utensils. The biosensor 12d also detects biometric data of the user 5. For example, the biosensor 12d is a sensor that measures the blood flow and heart rate of the user 5, a temperature sensor that measures the body temperature of the user 5, an image sensor that captures an image of the face of the user 5, etc. The biosensor 12d is, for example, a laser sensor, an infrared sensor, a camera, etc.
[0078] The posture sensor 13d is provided in the kitchen space K4. The posture sensor 13d is a detection device that detects the physical state of the user 5 who uses the kitchen 9. Specifically, the posture sensor 13d detects information related to the posture of the user 5. The posture sensor 13d is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, a microphone, or the like.
[0079] The identification sensor 14d is provided in the kitchen space K4. The identification sensor 14d is an identification device that identifies each of the multiple users 5 who use the kitchen 9. For example, three users 5, namely, user ID1, user ID2, and user ID3, are registered in advance as users 5 who use the kitchen 9, and the identification sensor 14d identifies whether the user 5 who uses the kitchen 9 is user ID1, user ID2, or user ID3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the user 5 may be performed by the identification sensor 14d or by the processing device 10 described above.
[0080] The entry / exit sensor 15d is provided in the kitchen space K4. The entry / exit sensor 15d is an entry / exit detection device that detects the entry and exit of a user 5 into the kitchen space K4. For example, the entry / exit sensor 15d is an open / close sensor provided on the door of the kitchen space K4, a sensor that detects the presence or absence of a person in the kitchen space K4, or the like. The identification sensor 14d identifies the user 5 in the kitchen space K4 when the entry of the user 5 into the kitchen space K4 is detected. In other words, after the entry is detected by the entry / exit sensor 15d, the identification sensor 14d performs identification. The entry / exit sensor 15d may also be an entry detection device that detects entry.
[0081] The biosensor 12d, the posture sensor 13d, the identification sensor 14d, and the entrance / exit sensor 15d may be provided at the same position in the kitchen space K4 or at different positions.
[0082] The communication unit 16d is a device that transmits the detection results of the biosensor 12d, the posture sensor 13d, or the entrance / exit sensor 15d, the identification results of the identification sensor 14d, etc. to the processing device 10. As a result, the results of each sensor are collected in the processing device 10.
[0083] As described above, biosensor 12a, biosensor 12b, biosensor 12c, and biosensor 12d are provided in each of a plurality of wet spaces, each having a different type of wet area. Furthermore, attitude sensor 13a, attitude sensor 13b, attitude sensor 13c, and attitude sensor 13d are provided in each of a plurality of wet spaces, each having a different type of wet area. Furthermore, identification sensor 14a, identification sensor 14b, identification sensor 14c, and identification sensor 14d are provided in each of a plurality of wet spaces, each having a different type of wet area.
[0084] <Hardware configuration of the processing device 10> FIG. 6 is a diagram illustrating an example of a hardware configuration of the processing device 10. As shown in FIG.
[0085] 6, the processing device 10 includes a control device 30, a communication device 31, and a storage device 32. The control device 30 is mainly configured to include a CPU (Central Processing Unit) 33 and a memory .
[0086] In the control device 30, the CPU 33 executes predetermined programs stored in the memory 34 or the storage device 32, etc., thereby functioning as various functional components.
[0087] The communication device 31 is configured with a communication interface for communicating with an external device, etc. The communication device 31 is capable of communicating with, for example, various devices.
[0088] The storage device 32 is configured by a hard disk, etc. The storage device 32 stores various programs and various information required for executing processes in the control device 30, information on the results of processing, etc.
[0089] The processing device 10 may be realized using an information processing device such as a dedicated or general-purpose computer. The processing device 10 may be configured with a single information processing device or multiple information processing devices. FIG. 6 shows only a portion of the main hardware configuration of the processing device 10, and the processing device 10 may have other configurations.
[0090] <Functional configuration of the processing device 10> FIG. 7 is a block diagram showing an example of various functions in the processing device 10. As shown in FIG.
[0091] As shown in FIG. 7, the processing device 10 mainly includes a recording unit 40, a determination unit 41, an evaluation unit 42, an estimation unit 43, a generation unit 44, a reception unit 45, a notification unit 46, and a control unit 47.
[0092] The recording unit 40 aggregates and records various information sent from the detection device 11. Specifically, the recording unit 40 records the detection results of the posture sensors 13a, 13b, 13c, and 13d. The recording unit 40 further records the detection results of the biosensors 12a, 12b, 12c, and 12d. The recording unit 40 further records the detection results of the entry / exit sensors 15a, 15b, 15c, and 15d. The recording unit 40 further records the detection results of the excretion sensor 61. The recording unit 40 further records the identification results of the identification sensors 14a, 14b, 14c, and 14d. The recording unit 40 also records the stimulation results given to the user 5 by the stimulation device 70.
[0093] The recording unit 40 also records each result in association with time information. The time information may be the time when each sensor performed detection, or the time when the processing device 10 acquired information from each sensor. By associating the result of each sensor with the time information, it is possible to record and accumulate a history of the user's condition, i.e., when and in what condition the user 5 was.
[0094] In this way, the recording unit 40 records and accumulates the detection results of the user 5 in each bathroom space.
[0095] The determination unit 41 performs a determination process based on the information obtained from the detection device 11 .
[0096] Specifically, the determination unit 41 determines whether the user 5 has entered or left the bathroom space. Specifically, the determination unit 41 determines whether the user 5 has entered or left the toilet space K1 based on the detection result of the entry / exit sensor 15a. That is, the determination unit 41 determines that the user 5 has entered the toilet space K1 when the output of the entry / exit sensor 15a indicates entry. Then, the determination unit 41 determines that the user 5 has left the toilet space K1 when the output of the entry / exit sensor 15a indicates exit. Also, the determination unit 41 determines whether the user 5 has entered or left the bathroom space K2 based on the detection result of the entry / exit sensor 15b. That is, the determination unit 41 determines that the user 5 has entered the bathroom space K2 when the output of the entry / exit sensor 15b indicates entry. Then, the determination unit 41 determines that the user 5 has left the bathroom space K2 when the output of the entry / exit sensor 15b indicates exit. Furthermore, the determination unit 41 determines whether the user 5 has entered or left the washroom space K3 based on the detection result of the entry / exit sensor 15c. That is, the determination unit 41 determines that the user 5 has entered the washroom space K3 when the output of the entry / exit sensor 15c indicates entry. Then, the determination unit 41 determines that the user 5 has left the washroom space K3 when the output of the entry / exit sensor 15c indicates exit. Also, the determination unit 41 determines whether the user 5 has entered or left the kitchen space K4 based on the detection result of the entry / exit sensor 15d. That is, the determination unit 41 determines that the user 5 has entered the kitchen space K4 when the output of the entry / exit sensor 15d indicates entry. Then, the determination unit 41 determines that the user 5 has left the kitchen space K4 when the output of the entry / exit sensor 15d indicates exit.
[0097] In this way, the determination unit 41 determines whether the user 5 has entered or left the bathroom space by referring to the results of the entrance and exit sensors 15a, 15b, 15c, and 15d.
[0098] The evaluation unit 42 evaluates the physical condition of the user 5 based on the detection results. Specifically, the evaluation unit 42 evaluates the physical condition of the user 5 in each bathroom space based on the detection results of the biosensor 12a, the biosensor 12b, the biosensor 12c, the biosensor 12d, the posture sensor 13a, the posture sensor 13b, the posture sensor 13c, the posture sensor 13d, and the excretion sensor 61. The evaluation is, for example, scoring based on predetermined evaluation criteria.
[0099] Furthermore, when evaluating the physical condition of the user 5, the evaluation unit 42 may use the state of the user 5 detected by the biosensor 12a or the like, or may use a change in state. Specifically, for example, the evaluation may be performed on a temporary physical condition of the user 5, or on a change in the physical condition of the user 5. In other words, the evaluation unit 42 may perform the evaluation using one detection result (information on the physical condition of the user 5) for one use of the wet space, or may perform the evaluation using multiple detection results (information on the physical condition of the user 5).
[0100] For example, the evaluation unit 42 evaluates the physical condition of the user 5 based on information about the posture of the user 5 detected by the posture sensor 13a, etc. As an example, the evaluation unit 42 evaluates the posture of the user 5 detected by the posture sensor 13d when cooking. Specifically, as a person's physical abilities decline, for example, their posture when cooking tends to become more hunched over. For this reason, the ideal angle of the head position relative to the waist position is used as a reference, and if the posture of the user 5 is at the reference angle, the evaluation score is set to 10 points. The more the posture of the user 5 deviates from the reference angle, such as leaning forward, the lower the evaluation score is. As another example, the evaluation unit 42 evaluates the posture of the user 5 detected by the posture sensor 13c when washing their hands. For example, people who tend to suffer from stiff shoulders tend to have a posture with their head protruding forward. For this reason, the ideal angle of the top of the head relative to the neck position is used as a reference, and if the posture of the user 5 is at the reference angle, the evaluation score is set to 10 points. The further forward the head of the user 5 is and the more it deviates from the reference angle, the lower the evaluation score will be.
[0101] For example, the evaluation unit 42 evaluates the physical condition of the user 5 based on the biometric data of the user 5 detected by the biometric sensor 12a, etc. As an example, with regard to blood pressure, if the systolic blood pressure (maximum blood pressure) and diastolic blood pressure (minimum blood pressure) values of the user 5 detected by the biometric sensor 12a do not exceed a predetermined reference value, the evaluation score is assigned a 10-point rating, and the higher the value exceeds the predetermined reference value, the lower the evaluation score is. As another example, with regard to heart rate, if the heart rate value of the user 5 detected by the biometric sensor 12a is within a predetermined reference range, the evaluation score is assigned a 10-point rating, and the higher the value exceeds the predetermined reference range, the lower the evaluation score is. As another example, with regard to skin, if the skin color of the user 5 detected by the biometric sensor 12c is within a predetermined reference range, the evaluation score is assigned a 10-point rating, and the higher the skin color deviates from the predetermined reference range, the lower the evaluation score is. Specifically, if the skin color is uniform and light, the evaluation score is assigned a 10-point rating, and if the skin color is uneven or pigmented, the evaluation score is lowered.
[0102] For example, the evaluation unit 42 evaluates the physical condition of the user 5 based on information about the excretion state of the user 5 detected by the excretion sensor 61. As an example, with regard to the shape of the stool, if the shape of the user 5's stool detected by the excretion sensor 61 is a predetermined standard shape, the evaluation score is 10 points. The more the shape of the stool deviates from the predetermined shape, the lower the evaluation score. Specifically, if the stool is sausage-shaped and smooth, the evaluation score is 10 points, and if the stool is cracked or in small chunks, the evaluation score is lowered. As another example, with regard to urine, if the color and transparency of the user 5's urine detected by the excretion sensor 61 are a predetermined standard color and transparency, the evaluation score is 10 points. Then, the more the color and transparency of the urine deviate from the predetermined color and transparency, the lower the evaluation score. Specifically, if the urine is pale yellow, the evaluation score is 10 points, and if the urine is cloudy or red or orange, the evaluation score is lowered. As another example, for farts, if the concentration of a predetermined component in the fart of user 5 detected by excretion sensor 61 is within a standard concentration range, the evaluation score is set to 10 points. The more the concentration of the predetermined component in the fart deviates from the standard concentration range, the lower the evaluation score. For example, if the concentration of hydrogen sulfide in the fart is within the standard concentration range, the evaluation score is set to 10 points, and the higher the hydrogen sulfide concentration in the fart and the more it deviates from the standard concentration range, the lower the evaluation score.
[0103] Furthermore, the evaluation unit 42 may evaluate the physical condition of the user 5 based on multiple detection results. For example, the evaluation unit 42 may evaluate the physical condition of the user 5 based on the shape and color of the stool. Specifically, if the stool is sausage-shaped, smooth, and black, the evaluation score is set to 10 points, and if the stool is in the form of small lumps or is black, the evaluation score is lowered.
[0104] The estimation unit 43 estimates the health state of the user 5 based on the detection result of the detection device 11. Specifically, the estimation unit 43 estimates the health state of the user 5 based on the evaluation result of the evaluation unit 42. The estimation unit 43 estimates the health state, such as whether there is a problem, the possibility of injury, or the possibility of illness, as the health state. If there is a possibility of injury or illness, the estimation unit 43 may estimate the specific location and nature of the injury, the nature of the illness, etc. Furthermore, the estimation unit 43 may estimate the health state, such as a stress state (e.g., excessive stress), a sleep state (e.g., lack of sleep), or an exercise state (e.g., lack of exercise). Furthermore, the estimation unit 43 may estimate the health state of the user 5 based on not only the evaluation result of the evaluation unit 42 but also the detection result of the detection device 11. That is, the estimation unit 43 may omit the evaluation by the evaluation unit 42 and estimate the health state of the user 5 based on the detection result of the detection device 11. Furthermore, the estimation unit 43 may estimate the health state of the user 5 based on the evaluation result of the evaluation unit 42 and the detection result of the detection device 11. The estimation result by the estimation unit 43 is recorded in the recording unit 40.
[0105] In this embodiment, an estimation of the health condition of a user 5 detected in one wet space is referred to as an "individual estimation." Furthermore, an evaluation of the health condition of a user 5 detected in multiple wet spaces is referred to as an "overall estimation."
[0106] The estimation unit 43 individually estimates the user 5 in the toilet space K1, individually estimates the user 5 in the bathroom space K2, individually estimates the user 5 in the washroom space K3, and individually estimates the user 5 in the kitchen space K4. Then, the estimation unit 43 comprehensively estimates the health conditions of the user 5 in multiple wet spaces.
[0107] For example, the estimation unit 43 estimates the health state of the user 5 based on the evaluation result of the user's posture. As one example, the estimation unit 43 individually estimates the health state of the user 5 based on the evaluation result of the user's posture when cooking. If the evaluation result of the user's posture when cooking indicates that the user 5 is leaning forward, the estimation unit 43 individually estimates that the user 5's health state is normal. On the other hand, if the evaluation result of the user 5 indicates that the user 5 is leaning forward is below 10 points, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to have back pain. As another example, the estimation unit 43 individually estimates the health state of the user 5 based on the evaluation result of the user's posture when washing their hands. If the evaluation result of the user's posture when washing their hands indicates that the user 5 is leaning forward, the estimation unit 43 individually estimates that the user 5's health state is normal. On the other hand, if the evaluation regarding whether the user 5's head is protruding forward is below 10 points, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to suffer from stiff shoulders.
[0108] For example, the estimation unit 43 estimates the health state of the user 5 based on the evaluation results based on the biometric data. As an example, the estimation unit 43 individually estimates the health state of the user 5 based on the evaluation results of the user's blood pressure. If the evaluation results of the blood pressure include a score of 10 for the systolic blood pressure (maximum blood pressure) and the diastolic blood pressure (minimum blood pressure), the estimation unit 43 individually estimates that the health state of the user 5 is normal. On the other hand, if the evaluation results of the systolic blood pressure (maximum blood pressure) and the diastolic blood pressure (minimum blood pressure) are below 10, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to have high blood pressure. As another example, if the evaluation results of the user's skin include a score of 10 for skin color, the estimation unit 43 individually estimates that the health state of the user 5 is normal. On the other hand, if the evaluation results of the user's skin include a score of below 10, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to have rough skin.
[0109] For example, the estimation unit 43 estimates the health state of the user 5 based on the evaluation results based on the information on the excretion state. As an example, the estimation unit 43 individually estimates the health state of the user 5 based on the evaluation results of the user's stool. If the evaluation results for the stool shape are 10 points, the estimation unit 43 individually estimates that the health state of the user 5 is normal. On the other hand, if the evaluation results for the stool shape of the user 5 are below 10 points, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to be stressed or constipated. As another example, if the evaluation results for the urine of the user 5 are 10 points, the estimation unit 43 individually estimates that the health state of the user 5 is normal. On the other hand, if the evaluation results for the urine color and transparency of the user 5 are below 10 points, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to be dehydrated or have a urinary tract stone. Furthermore, the estimation unit 43 may individually estimate the health state of the user 5 based on the detection results of the excretion sensor 61. For example, the estimation unit 43 may individually estimate the health condition of the user 5 based on the color of the urine detected by the excretion sensor 61. Specifically, if the color of the urine of the user 5 is red, it may be individually estimated that there is a high possibility of a urinary tract stone.
[0110] The estimation unit 43 estimates the health state of the user 5 based on the detection results of each of the multiple detection devices 11. Specifically, the estimation unit 43 comprehensively estimates the health state of the user 5 based on the results of multiple individual estimations. As an example, the estimation unit 43 comprehensively estimates the health state of the user 5 based on the results of the individual estimations of the health state of the user 5 in the washroom space K3 and the kitchen space K4. Specifically, the estimation unit 43 comprehensively estimates that the user 5 has lower back pain using the result of the individual estimation that the user 5 in the washroom space K3 is likely to have lower back pain and the result of the individual estimation that the user 5 in the kitchen space K4 is likely to have lower back pain. As another example, the estimation unit 43 comprehensively estimates the health state of the user 5 based on the results of the individual estimations of the health state of the user 5 in the toilet space K1 and the washroom space K3. Specifically, the estimation unit 43 uses the result of the individual estimation that the user 5 in the toilet space K1 is likely to be constipated and the result of the individual estimation that the user 5 in the washroom space K3 is likely to have rough skin to comprehensively estimate that the user 5 is overstressed. As another example, the estimation unit 43 comprehensively estimates the health state of the user 5 based on the results of the individual estimations of the health state of the user 5 in the toilet space K1 and the kitchen space K4. The estimation unit 43 uses the result of the individual estimation that the user 5 in the toilet space K1 is likely to have high blood pressure and the result of the individual estimation that the user 5 in the kitchen space K4 is likely to have back pain to comprehensively estimate that the user 5 is not exercising enough. In this way, by combining the detection results of multiple detection devices 11, the health state of the user 5 can be estimated with higher accuracy.
[0111] In addition, the estimation unit 43 may make a comprehensive estimate of the health condition of the user 5 based on each of the multiple evaluation results in the evaluation unit 42, or may make a comprehensive estimate of the health condition of the user 5 based on each of the detection results of the multiple detection devices 11.
[0112] The generation unit 44 generates recommendation information using the estimation result of the estimation unit 43. The recommendation information is health-related suggested information (recommended information) for the user 5. The recommendation information includes information that maintains or improves the health status of the user 5. The recommendation information may also include information that indicates signs of frailty (a condition in which physical function or cognitive function is impaired). The recommendation information is, for example, information encouraging exercise, information to correct posture, information to improve lifestyle habits, etc. The recommendation information is, for example, "Walk for about 30 minutes a day," "Make an effort to sit with your pelvis upright," etc.
[0113] Specifically, when the individual estimation of the health condition of user 5 does not estimate the health condition as normal, the generation unit 44 generates recommendation information to improve the health condition. Note that when the individual estimation of the health condition of user 5 estimates the health condition as normal, the generation unit 44 may generate recommendation information to maintain or further improve the health condition.
[0114] Furthermore, when the overall estimation of the health condition of user 5 does not result in a normal estimation, the generation unit 44 generates recommendation information to improve the health condition. Note that when the overall estimation of the health condition of user 5 results in a normal estimation, the generation unit 44 may generate recommendation information to maintain or further improve the health condition.
[0115] In the above example, the generation unit 44 generates recommendation information using one estimation result from the estimation unit 43. However, recommendation information may be generated using multiple estimation results. Specifically, the generation unit 44 may generate recommendation information based on changes in the estimation results over time. That is, the generation unit 44 generates recommendation information for the user 5 using estimation results within a predetermined period (within the most recent predetermined period) including the latest estimation result. For example, when the estimation result is deteriorating, the generation unit 44 generates recommendation information to comprehensively improve the health condition of the user 5. Note that the generation unit 44 may change the content of the recommendation information depending on the degree of deterioration of the estimation result.
[0116] Furthermore, the recommendation information may be generated using the detection results of the detection device 11 or the evaluation results of the evaluation unit 42.
[0117] Furthermore, the recommendation information may be a suggestion regarding at least one of nutrition, sleep, and exercise for the user 5. In other words, the recommendation information may be information for improving the nutritional state of the user 5, information for improving the sleep state of the user 5, or information for improving the exercise state of the user 5.
[0118] The recommendation information generated by the generating unit 44 is preferably recorded in the recording unit 40 .
[0119] The receiving unit 45 receives data related to the user 5 from the external device 4. In this embodiment, the data received from the external device 4 is referred to as "external data." The external data is, for example, information related to the health condition of the user 5. Specifically, the external data is information about the number of steps taken by the user 5, heart rate information, temperature information, stress information, distance traveled information, calorie consumption information, sleep information, nutritional balance information, etc. Note that the external data is not limited to the above, as long as it is information related to the health condition of the user 5. The external data received by the receiving unit 45 is recorded in the recording unit 40.
[0120] When the receiving unit 45 receives external data from the external device 4, the evaluation unit 42 may perform evaluation using not only the detection results of the biosensors 12a, etc., but also the external data. For example, the evaluation unit 42 may perform evaluation using the detection results of the biosensors 12a, etc., and the external data, or may correct the evaluation results evaluated using the detection results of the biosensors 12a, etc., using the external data. For example, the evaluation unit 42 may perform evaluation using a combination of the detection results of the biosensors 12a, etc., and the external data. Furthermore, for example, the evaluation unit 42 may correct the evaluation to lower or raise it depending on the external data.
[0121] Furthermore, when the evaluation unit 42 also uses external data to perform the evaluation, the estimation unit 43 may estimate the health state of the user 5 based on the evaluation result using the detection result of the biosensor 12a etc. and the external data.
[0122] The notification unit 46 notifies various information. Specifically, the notification unit 46 sends various information to a predetermined destination to notify the user 5 or the like. For example, the notification unit 46 sends information to the user terminal 3 to notify the user 5. Note that the notification unit 46 is not limited to notifying the user 5, and can also notify a predetermined person, such as a relative of the user 5.
[0123] Specifically, the notification unit 46 notifies the user 5 of the evaluation results from the evaluation unit 42, the recommendation information generated by the generation unit 44, the estimation results from the estimation unit 43, and the like.
[0124] The control unit 47 controls the stimulation to be given to the user 5 by the stimulation device 70 based on the health condition of the user 5 estimated by the estimation unit 43. Specifically, the control unit 47 transmits a control signal to the stimulation device 70 to control the stimulation device 70 based on the identification result acquired from the identification sensor 14b in the bathroom space K2 and the health condition of the user 5 stored in the recording unit 40. The control signal is a signal that controls the content of the stimulation in the stimulation device 70.
[0125] <Configuration of stimulation device 70> FIG. 8 is a diagram showing an example of a stimulation device 70 provided in the bathroom space K2.
[0126] 8, the stimulation device 70 includes a communication unit 701, a bathtub device 71, a sound device 73, a light 75, and a shower device 77. The stimulation device 70 controls each component of the stimulation device 70 to provide a predetermined stimulation to the user 5. Here, the predetermined stimulation may be a physical stimulation provided to the body of the user 5, or may be an auditory or visual stimulation.
[0127] The communication unit 701 receives a control signal from the processing device 10. The communication unit 701 transmits the received control signal to the bathtub device 71, the sound device 73, the lighting 75, and the shower device 77. Each component of the stimulation device 70 is controlled by the received control signal.
[0128] Note that the control of stimulation is not limited to control using a control signal. For example, the processing device 10 may transmit the health state of the user 5 estimated by the estimation unit 43 to the stimulation device 70. Then, based on the received health state of the user 5, the stimulation device 70 may control each component of the stimulation device 70. That is, the stimulation device 70 may generate a control signal based on the health state of the user 5 and transmit it to each component of the stimulation device 70.
[0129] The user 5 may also select the stimulus to be given to the user 5 by the stimulation device 70. For example, a display device including a touch panel may be provided in the bathroom. A control signal may then be used to cause the display device to display an individual or overall estimate of the user 5's health state and recommended stimuli based on the estimate, and the user 5 may select a stimulus to be given from the displayed stimuli. The stimulation device 70 may generate a control signal corresponding to the stimulus selected by the user 5 and transmit it to each component of the stimulation device 70.
[0130] The bathtub device 71 is provided in the bathroom space K2. The bathtub device 71 includes a bathtub control unit 711, a shoulder bath section 713, a relaxation bath section 715, and a waist bath section 717.
[0131] The bathtub control unit 711 is a device that controls the temperature or volume of the water in the bathtub 7a. The bathtub control unit 711 stimulates the user 5 by controlling the water in the bathtub. Specifically, the bathtub control unit 711 controls the water in the bathtub 7a by operation of the user 5 or by a control signal from the processing device 10. For example, the bathtub control unit 711 relaxes the entire body of the user 5 by controlling the temperature of the water in the bathtub 7a.
[0132] The shoulder bath section 713 is a device that discharges a ribbon-shaped water flow that extends in the left-right direction toward the user 5. The shoulder bath section 713 stimulates the user 5 with the ribbon-shaped water flow. Specifically, the shoulder bath section 713 controls the ribbon-shaped water flow by operation of the user 5 or by a control signal from the processing device 10. For example, the shoulder bath section 713 relaxes the neck and shoulders of the user 5 by controlling the amount of water, water temperature, water flow speed, or water flow pattern of the water flow, or by controlling changes in the amount of water, water temperature, water flow speed, or water flow pattern.
[0133] The loosening water section 715 is a device that sprays, for example, a rod-shaped jet of water onto the user 5. The jet may be a jet in which at least one of the flow rate and direction of travel changes over time. The shoulder bath section 713 stimulates the user 5 with the jet. Specifically, the loosening water section 715 controls the jet by operation by the user 5 or by a control signal from the processing device 10. For example, the loosening water section 715 controls the amount of water, temperature, speed, or form of the jet of water, or changes in the amount, temperature, speed, or form of the jet of water, to provide a concentrated massage effect on the neck and shoulders of the user 5.
[0134] The stool bath section 717 is, for example, a device that discharges high-pressure water toward the user 5. The stool bath section 717 stimulates the user 5 by discharging high-pressure water. Specifically, the stool bath section 717 controls the high-pressure water discharge by operation of the user 5 or by a control signal from the processing device 10. For example, the stool bath section 717 controls the amount of high-pressure water discharged, the water temperature, the water flow velocity, or the form of the water flow, or changes in the water amount, the water temperature, the water flow velocity, or the form of the water flow, thereby pressing against the waist and back of the user 5 and providing a massage effect.
[0135] The acoustic device 73 is provided in the bathroom space K2. The acoustic device 73 is a device that reproduces sound. The acoustic device 73 provides auditory stimulation to the user 5 through sound. Specifically, the acoustic device 73 reproduces sound in response to an operation by the user 5 or a control signal from the processing device 10. For example, the acoustic device 73 provides a relaxation effect to the user 5 by reproducing sounds such as music, natural sounds, and audio guides for meditation.
[0136] The lighting 75 is provided in the bathroom space K2. The lighting 75 is a device that generates light. The lighting 75 provides visual stimulation to the user 5 through light. Specifically, the lighting 75 controls the light through operation by the user 5 or through a control signal from the processing device 10. For example, the lighting 75 provides a relaxation effect to the user 5 by controlling the color, illuminance, or changes in the light.
[0137] The shower device 77 is provided in the bathroom space K2. The shower device 77 is a device that discharges water. The shower device 77 stimulates the user 5 by discharging water. Specifically, the shower device 77 controls the water discharge pattern by operation by the user 5 or by a control signal from the processing device 10. For example, the shower device 77 controls the amount of water discharged, the water pressure, the water temperature, the shape of the water discharge, and the like, thereby providing a relaxation effect to the user 5. The water discharge pattern controlled by the shower device 77 may be a spray, a wand, a mist, or the like. The shower device 77 may also draw air into the shower head and generate water droplets that mix the air with the water discharge.
[0138] In this embodiment, the case where the stimulation device 70 includes each of the bathtub device 71, the sound device 73, the lighting 75, and the shower device 77 will be described as an example, but at least one of the bathtub device 71, the sound device 73, the lighting 75, and the shower device 77 may also be the stimulation device 70. The stimulation device 70 may further include any component that stimulates the user 5. For example, it may include an aromatherapy device that provides a relaxation effect through fragrance, or a vibration device that relaxes muscles by vibrating a part of the bathtub 7a.
[0139] Furthermore, the components of the stimulation device 70 may be controlled in conjunction with each other. For example, the lighting 75 may control the light in time with the music played by the sound device 73, thereby providing an even more relaxing effect to the user 5. Furthermore, the shoulder bath section 713 may eject a ribbon-shaped water stream toward the user 5, while the loosening water section 715 sprays a jet toward the user 5, thereby providing an even more massaging effect to the neck and shoulders of the user 5.
[0140] The control signal sent by the control unit 47 causes the bathtub device 71 to control the water volume, water temperature, water flow velocity, or water flow pattern, or to change the water volume, water temperature, water flow velocity, or water flow pattern. The control signal also causes the sound device 73 to play sound. The control signal also causes the lighting 75 to emit light. The control signal also causes the shower device 77 to control the water discharge pattern.
[0141] Here, physical stimuli include stimuli given to user 5 by bathtub apparatus 71 controlling the water volume, water temperature, water flow velocity, or water flow pattern, or by changing the water volume, water temperature, water flow velocity, or water flow pattern. Physical stimuli also include stimuli given to user 5 by shower apparatus 77 controlling the water discharge pattern. In addition to the above-mentioned water stimuli, physical stimuli may also include stimuli given to user 5 by bubbles or by vibration of a part of bathtub 7a.
[0142] <Detection and individual estimation process flow> FIG. 9 is a flowchart showing an example of the process flow of detection by the detection device 11 and individual estimation by the processing device 10 in the toilet space K1.
[0143] The processing of each of the following steps is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each of the following steps can be changed as appropriate.
[0144] (Step SP10) The determination unit 41 determines whether or not the user 5 has entered the toilet space K1 based on the detection result of the entry / exit sensor 15a. If the entry of the user 5 is not detected, step SP10 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP11.
[0145] (Step SP11) The recording unit 40 acquires and records the detection results of the biosensor 12a, the posture sensor 13a, the entrance / exit sensor 15a, or the excretion sensor 61 and the identification results of the identification sensor 14a. For example, the recording unit 40 records that the user 5 has entered the toilet space K1. Also, for example, the recording unit 40 records the color, shape, components, odor, and amount of excrement detected by the excretion sensor 61. Then, the process proceeds to step SP12.
[0146] (Step SP12) The determination unit 41 determines whether the user 5 has exited the toilet space K1 based on the detection result of the entry / exit sensor 15a. If the exit of the user 5 is not detected, the process returns to step SP11 and the process is executed again. If the exit of the user 5 is detected, the process proceeds to step SP13.
[0147] (Step SP13) The evaluation unit 42 evaluates the physical condition of the user 5 based on the detection results. For example, if the shape of the stool of the user 5 detected by the excretion sensor 61 is a predetermined standard shape, the evaluation unit 42 will give an evaluation score of 10 points. Thereafter, the estimation unit 43 performs an individual estimation of the health condition of the user 5 who used the toilet space K1 based on the evaluation results. For example, if the evaluation result of the stool regarding the shape of the stool is 10 points, the estimation unit 43 will individually estimate the health condition of the user 5 as normal. Then, the processing proceeds to step SP14.
[0148] (Step SP14) The recording unit 40 records the result of the individual estimation. For example, the recording unit 40 records the result of the individual estimation by the estimation unit 43 that the health condition of the user 5 is normal based on the evaluation of the shape of the stool. Then, the processing proceeds to step SP15.
[0149] (Step SP15) The notification unit 46 notifies the user 5 or the like of the result of the individual estimation. For example, the notification unit 46 transmits to the user terminal 3 the result that the individually estimated health condition of the user 5 is normal, and notifies the user 5. The processing then ends. After the end, the processing is executed again from step SP10 at a predetermined control period.
[0150] As described above, the detection and individual estimation processes are performed in the toilet space K1.
[0151] While the above describes an example of the processing flow of detection by the detection device 11 in the toilet space K1 and individual estimation by the processing device 10, similar individual estimation is performed in the bathroom space K2, the washroom space K3, and the kitchen space K4. Each component in the toilet space K1 can be interpreted as the corresponding component in the bathroom space K2, the washroom space K3, or the kitchen space K4. That is, in the flow of FIG. 9 , the biosensor 12a can be interpreted as the biosensor 12b, the biosensor 12c, or the biosensor 12d; the attitude sensor 13a can be interpreted as the attitude sensor 13b, the attitude sensor 13c, or the attitude sensor 13d; the identification sensor 14a can be interpreted as the identification sensor 14b, the identification sensor 14c, or the identification sensor 14d; and the entry / exit sensor 15a can be interpreted as the entry / exit sensor 15b, the entry / exit sensor 15c, or the entry / exit sensor 15d.
[0152] The detection device 11 may detect the user 5 in all of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4, or may detect the user 5 in at least one of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. In other words, the detection device 11 may not detect the user 5 in any of the wet spaces.
[0153] The physical condition of the user 5 may be evaluated in all of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4, or may be evaluated in at least one of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. In other words, the physical condition of the user 5 does not have to be evaluated in any of the wet spaces.
[0154] The individual estimation of the health state of the user 5 may be performed in all of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4, or the individual estimation of the health state of the user 5 may be performed in at least one of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. In other words, the individual estimation of the health state of the user 5 does not have to be performed in any of the wet spaces.
[0155] <Process flow for comprehensive estimation> FIG. 10 is a flowchart showing an example of the flow of the overall estimation by the processing device 10.
[0156] The processing of each of the following steps is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each of the following steps can be changed as appropriate.
[0157] (Step SP50) The estimation unit 43 determines whether or not all individual estimation results have been obtained for the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4. If all individual estimation results have been obtained, the process proceeds to step SP51. If all individual estimation results have not been obtained, step SP50 is executed again. Note that in step SP50, the estimation unit 43 may determine whether or not all individual estimation results have been obtained within a predetermined period of time (e.g., within 24 hours). Also, in step SP50, the estimation unit 43 may determine whether or not individual estimation results have been obtained for at least two or more types of wet-related spaces, i.e., the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4.
[0158] (Step SP51) The estimation unit 43 performs a comprehensive estimation using the results of the individual estimations for the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. For example, using the result of the individual estimation for the toilet space K1 that the user 5 is likely to be constipated and the result of the individual estimation for the washroom space K3 that the user 5 is likely to have rough skin, the estimation unit 43 comprehensively estimates that the user 5 is under excessive stress. Then, the process proceeds to step SP52.
[0159] (Step SP52) The notification unit 46 notifies the user 5 of the result of the comprehensive estimation. For example, the notification unit 46 transmits the result that the comprehensively estimated health state of the user 5 is excessive stress to the user terminal 3, and notifies the user 5. Then, the processing ends. After the end, the processing is executed again from step SP50 at a predetermined control cycle.
[0160] As described above, the individual estimates for different types of wet spaces are combined to produce a comprehensive estimate for the user 5.
[0161] Although the estimation unit 43 has been described as performing a process of performing a comprehensive estimation using the results of individual estimations of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4, the estimation unit 43 may also perform a comprehensive estimation of the health state of the user 5 using the evaluation results of multiple wet spaces by the evaluation unit 42. Furthermore, the estimation unit 43 may also perform a comprehensive estimation of the health state of the user 5 using the respective detection results of multiple detection devices 11.
[0162] FIG. 11 is a diagram showing an example of a screen when the notification unit 46 notifies the user terminal 3. In FIG.
[0163] 11, on a screen 150, the latest individual estimation results corresponding to the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4 are displayed as display 151, display 152, display 153, and display 154. The result of the overall estimation is displayed as display 155. The generated recommendation information is also displayed as display 156. Note that external data acquired from the external device 4 may also be displayed.
[0164] In this way, notification is made to the user 5 etc. by the notification unit 46. It is preferable that the history of notifications made by the notification unit 46 is recorded in the recording unit 40. Note that the notification unit 46 is not limited to notifying the information to the user terminal 3, and may output the information to another device to make the notification.
[0165] By checking the notification, the user 5 etc. can recognize the estimated results of his / her own health condition, recommended information, etc.
[0166] <Stimulus processing flow> FIG. 12 is a flowchart showing an example of the flow of stimulation by the processing device 10 and the stimulation device 70 in the bathroom space K2.
[0167] The processing of each of the following steps is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each of the following steps can be changed as appropriate.
[0168] (Step SP70) The determination unit 41 determines whether or not the user 5 has entered the bathroom space K2 based on the detection result of the entry / exit sensor 15b. If the entry of the user 5 is not detected, step SP70 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP71.
[0169] (Step SP71) The recording unit 40 acquires and records the identification result of the identification sensor 14b, and the process then proceeds to step SP72.
[0170] (Step SP72) The control unit 47 transmits a control signal to the stimulation device 70 based on the acquired identification result and the health condition of the user 5 estimated by the estimation unit 43. Here, the recording unit 40 may record the content of the stimulation based on the control signal. Then, the process proceeds to step SP73.
[0171] Specifically, the control unit 47 transmits a control signal to the stimulation device 70 based on the acquired identification result and the estimation result of the health condition of the user 5 estimated by the estimation unit 43. As one example, the control unit 47 transmits a control signal based on the estimation result that the estimation unit 43 estimates that the user 5 has lower back pain. This control signal causes the lower back bath unit 717 to discharge high-pressure water, which presses against the lower back and back of the user 5 and provides a massage effect. As another example, the control unit 47 transmits a control signal based on the estimation result that the estimation unit 43 estimates that the user 5 is under excessive stress. This control signal causes the audio device 73 to play sound and the lighting 75 to emit light, thereby providing a relaxation effect to the user 5. As yet another example, the control unit 47 transmits a control signal based on the estimation result that the estimation unit 43 estimates that the user 5 has rough skin. This control signal causes the shoulder bath unit 713 to discharge a ribbon-shaped water stream, the audio device 73 to play sound, and the lighting 75 to emit light, thereby providing a relaxation effect to the user 5. By the above process, it is possible to provide the user 5 with a stimulus based on the health condition of the user 5.
[0172] (Step SP73) The stimulation device 70 receives the control signal. The stimulation device 70 controls each component of the stimulation device 70 to provide a predetermined stimulation to the user 5. For example, in response to the control signal, the stimulation device 70 causes high-pressure water to be discharged from the lower back bath section 717, which presses against the lower back and back of the user 5 to provide a massage effect. Then, the process proceeds to step SP74.
[0173] (Step SP74) The determination unit 41 determines whether the user 5 has exited the bathroom space K2 based on the detection result of the entry / exit sensor 15b. If the user 5's exit is not detected, the process returns to step SP71 and is executed again. If the user 5's exit is detected, the process ends. After the process ends, the process is executed again from step SP70 at a predetermined control cycle.
[0174] The control signal may be transmitted based on the result of the individual estimation or the result of the comprehensive estimation. Furthermore, the control signal may be transmitted based not only on the estimation result of the estimation unit 43 but also on the evaluation result of the evaluation unit 42 or the detection result of the detection device 11.
[0175] Furthermore, the stimulation device 70 may provide a predetermined stimulus to the user 5 based on a predetermined criterion associating a predetermined health state with a predetermined type of stimulus and the health state of the user 5 estimated by the estimation unit 43. Specifically, a menu associating a specific stimulus with a specific health state is preset. If the estimated health state of the user 5 corresponds to the specific health state, the predetermined specific stimulus is provided to the user 5. For example, a stimulus provided by the stool bath unit 717 is preset for a health state of lower back pain. If the health state of the user 5 is estimated to be lower back pain, the stimulus provided by the stool bath unit 717 is provided to the user 5. Furthermore, multiple types of stimulus may be preset as the above specific stimulus. For example, a stimulus provided by the audio device 73 and a stimulus provided by the lighting 75 are preset for a health state of excessive stress. If the health state of the user 5 is estimated to be excessive stress, the stimulus provided by the audio device 73 and the stimulus provided by the lighting 75 are provided to the user 5.
[0176] Furthermore, although the flowchart shown in FIG. 12 describes the process of transmitting a control signal from the processing device 10, the stimulation device 70 may generate a control signal based on the health condition of the user 5 and transmit it to each component of the stimulation device 70. The stimulation device 70 may also generate a control signal corresponding to a stimulation selected by the user 5 and transmit it to each component of the stimulation device 70. At this time, the stimulation device 70 may transmit the results of the stimulation given to the user 5 to the processing device 10. The recording unit 40 records the received stimulation results. For example, the recording unit 40 records the stimulation results that indicate that high-pressure water is discharged from the waist bath unit 717, pressing against the waist and back of the user 5 and providing a massage effect.
[0177] <Action and effect> As described above, the health management system 2 of this embodiment is a health management system 2 that manages the health of a user 5 in a space having a wet area including a toilet 6, a washbasin 8, a kitchen 9, or a bathroom 7, and is equipped with a detection device that is provided in the space having the wet area and detects a user 5 using the wet area, and a stimulation device 70 that is provided in the space having the bathroom 7 and applies a predetermined stimulation to the user 5 based on the detection result by the detection device.
[0178] According to this configuration, since users 5 tend to behave in the same way in wet spaces, by detecting the user 5 in the wet space, it is possible to detect the state of the user 5 with higher accuracy than when detecting the user 5 in a living space other than the wet space. Also, by providing stimuli to the user 5 in the bathroom 7 based on the detection results of the user 5 in the wet space, it is possible to provide more effective stimuli that correspond to the state of the user 5 compared to when providing stimuli to the user 5 not based on the detection results of the user 5.
[0179] In addition, the health management system 2 further includes a processing device 10 having an estimation unit 43 that estimates the health condition of the user 5, and the stimulation device 70 provides a predetermined stimulation to the user 5 based on the estimated health condition of the user 5.
[0180] According to this configuration, it is possible to estimate the health condition of the user 5 who uses the wet area. Furthermore, it is possible to provide a predetermined stimulus based on the health condition of the user 5. Therefore, it is possible to provide a more effective stimulus corresponding to the health condition of the user 5 compared to when the health condition of the user 5 is not estimated.
[0181] In addition, the health management system 2 further includes an identification device that is installed in the space and identifies multiple users 5 who use the bathroom area, and the stimulation device 70 provides a predetermined stimulation to the user 5 based on the health condition of the identified user 5.
[0182] According to this configuration, when multiple users 5 use the bathroom area, when a predetermined stimulus is given to each user 5 based on their health condition, it becomes necessary to record the health condition of each user 5. Therefore, by providing an identification device, it becomes possible for multiple users 5 to use the health management system 2.
[0183] In addition, the health management system 2 is a health management system 2 that manages the health of a user 5 in a space having a water-related area including a toilet 6 and a bathroom 7, and is equipped with a detection device that is provided in the space having the toilet 6 and detects a user 5 using the toilet 6, and a stimulation device 70 that is provided in the space having the bathroom 7 and gives a predetermined stimulation to the user 5 based on the detection result by the detection device.
[0184] According to this configuration, since the toilet 6 is a water-related area where users 5 are particularly likely to behave in the same way, by detecting users 5 using the toilet 6, it is possible to detect the health condition of users 5 with higher accuracy than when users 5 using the toilet 6 are not detected.
[0185] In addition, in the health management system 2, the detection device detects the excretory state of the user 5.
[0186] According to this configuration, the excretion status, such as the color, composition, and time of excretion of the excrement, reflects the health status of the user 5, so it is possible to detect the health status of the user 5 with higher accuracy compared to when the excretion status of the user 5 is not detected.
[0187] In the health management system 2, the detection device detects the biometric data of the user 5.
[0188] According to this configuration, biometric data such as blood flow and heart rate reflect the health condition of user 5, so it is possible to detect the health condition of user 5 with higher accuracy compared to when the biometric data of user 5 is not detected.
[0189] In the health management system 2, at least one detection device is provided in a space having a wet area, such as a toilet 6, a washbasin 8, or a kitchen 9.
[0190] According to this configuration, by providing stimulation to user 5 in bathroom 7 based on the detection results of user 5 detected in a water-related area other than bathroom 7, it becomes possible to manage the health of user 5 in a coordinated manner between multiple water-related areas, compared to when stimulation is provided to user 5 in bathroom 7 based only on the detection results of user 5 detected in bathroom 7.
[0191] Furthermore, in the health management system 2, at least two or more detection devices are provided in a space having a wet area, and the estimation unit 43 estimates the health state of the user 5 based on the detection results of each of the plurality of detection devices.
[0192] According to this configuration, by combining the detection results of multiple detection devices, the health condition of user 5 can be estimated with higher accuracy compared to estimating the health condition of user 5 based on the detection result of a single detection device.
[0193] In addition, in the health management system 2, at least one detection device is provided in each space having a toilet 6 and each space having a bathroom 7, and the estimation unit 43 estimates the health condition of the user 5 based on the detection results of each of the multiple detection devices.
[0194] According to this configuration, by detecting the user 5 in the toilet 6 and the bathroom 7, which is the space where stimulation is provided, it is possible to provide more effective stimulation corresponding to the health condition of the user 5, compared to, for example, not detecting the user 5 in the bathroom 7.
[0195] In addition, in the health management system 2, the stimulation device 70 provides a predetermined stimulus to the user 5 based on a predetermined criterion that associates a predetermined health state with a predetermined type of stimulus, and the health state of the user 5 estimated by the estimation unit 43.
[0196] According to this configuration, it is possible to provide a more effective stimulus that corresponds to the health condition of the user, compared to when a predetermined standard that associates the health condition with the stimulus is not set.
[0197] Furthermore, in the health management system 2, the stimulating device 70 applies a physical stimulus to the body of the user 5 as the predetermined stimulus.
[0198] According to this configuration, a physical stimulus can be given to the user 5.
[0199] In addition, in the health management system 2, the stimulation device 70 provides a predetermined stimulus to the user 5 by controlling the amount of water, water temperature, water flow velocity, or water flow pattern in the bathtub in the bathroom 7, or changes in the amount of water, water temperature, water flow velocity, or water flow pattern.
[0200] According to this configuration, the user 5 can be given a physical stimulus by the hot and cold water in the bathtub.
[0201] Furthermore, in the health management system 2, the stimulating device 70 applies a predetermined stimulus to the user 5 by controlling the form of water discharge from the shower device 77 provided in the bathroom 7.
[0202] According to this configuration, the shower device 77 can provide the user 5 with a physical stimulus.
[0203] Furthermore, in the health management system 2, the stimulating device 70 controls the sound device 73 or the lighting 75 installed in the bathroom 7 to provide the user 5 with a predetermined stimulus.
[0204] According to this configuration, it is possible to provide the user 5 with a visual or auditory stimulus.
[0205] In addition, in the health management system 2, the processing device 10 further has a generation unit 44 that uses the estimation results of the estimation unit 43 to generate recommended information that is health-related suggestions for the user 5, and a notification unit 46 that notifies the recommended information.
[0206] According to this configuration, the recommended information allows the user 5 to recognize health-related information, and can encourage the user 5 to change his or her behavior.
[0207] <Modification> The present invention is not limited to the above-described embodiments. In other words, designs that are produced by those skilled in the art with appropriate design modifications to the above-described specific examples are also included within the scope of the present invention as long as they include the features of the present invention. Furthermore, the elements of the above-described embodiments and the following modifications can be combined to the extent technically possible, and such combinations are also included within the scope of the present invention as long as they include the features of the present invention.
[0208] For example, in the above embodiment, the user 5 is identified by the identification sensor 14 and the health condition of the user 5 is estimated as an example, but the health condition of the user 5 may be estimated without identifying the user 5. For example, when a single user 5 uses the health management system 2, the health condition of the user 5 can be estimated without identifying the user 5.
[0209] Furthermore, the detection device 11 may detect the user 5 in the toilet space K1, the washroom space K3, and the kitchen space K4, but may not detect the user 5 in the bathroom space K2. That is, a stimulus may be given to the user 5 in the bathroom space K2 based on information detected in a space other than the bathroom space K2. Furthermore, the detection device 11 may detect the user 5 in the toilet space K1, but may not detect the user 5 in the bathroom space K2, the washroom space K3, and the kitchen space K4. That is, detection may be performed only in the toilet space K1, and a stimulus may be given to the user 5 in the bathroom space K2 based on information detected in the toilet space K1.
[0210] In the above embodiment, the biosensor 12a, biosensor 12b, biosensor 12c, biosensor 12d, posture sensor 13a, posture sensor 13b, posture sensor 13c, posture sensor 13d, and excretion sensor 61 are provided in each wet space as devices for detecting the physical condition of the user 5, but some of the devices may be omitted. For example, the toilet space K1 may be provided with the posture sensor 13a and the excretion sensor 61, but the biosensor 12a may not be provided.
[0211] Health management may also include detecting user 5's entry and exit into the bathroom space using entry / exit sensors 15a, 15b, 15c, and 15d. Health management may also include providing a predetermined stimulus to user 5 based on the results of the entry / exit detection. For example, if entry / exit sensor 15b provided in bathroom space K2 has not detected user 5's entry within 24 hours, user 5 may be notified of recommendation information encouraging him or her to take a bath.
[0212] Furthermore, in the above embodiment, the health condition of the user 5 is estimated and a stimulus is given to the user 5 based on the estimated health condition of the user 5. However, estimation of the health condition of the user 5 may be omitted, and a stimulus may be given to the user 5 based on the detection results of the user 5. For example, based on the detection result that the excretion sensor 61 has detected only urine but not feces from the user 5 within 24 hours, the lumbar bath section 717 may massage the user 5's lower back. As another example, the biosensor 12 may detect the user 5's blood pressure, and based on the detection result that the blood pressure is higher than a specific value, the bathtub control section 711 may control the water temperature in the bathtub 7a to be lower.
[0213] Furthermore, the control signal may be transmitted based on the acquired identification result, the estimation result estimated by the estimation unit 43, and also based on the results of past stimulations given to the user 5. For example, if the estimation result of the user 5's health condition has improved after a past stimulation, the same stimulation as that given in the past stimulation may be given to the user 5. On the other hand, if the estimation result of the user 5's health condition has not improved after a past stimulation, a stimulation different from that given in the past stimulation may be given to the user 5. For example, if the relaxation bath unit 715 has previously given stimulation to the user 5 but the user 5's stiff shoulder condition has not improved, a control signal may be transmitted to control the user 5 to receive a stimulation that is stronger than the previous stimulation.
[0214] Furthermore, in the above embodiment, the case where the processing device 10 includes the recording unit 40 has been described, but the recording location of the recording unit 40 may be the storage device 32 of the processing device 10, or the recording location may be provided separately from the processing device 10. When the recording location is separate, the recording location may be connected to the processing device 10 via a network or the like so as to be able to communicate with the processing device 10.
[0215] Furthermore, in the above embodiment, the case where the processing device 10 provides the recommended information to the user terminal 3 has been described as an example, but the present invention is not limited to the case where the recommended information is output to the user terminal 3. For example, the processing device 10 may be provided with a display device or the like, and the recommended information may be provided to the user 5 by the display device.
[0216] Furthermore, in the above embodiment, the case where the external device 4 is a wearable terminal, a mobile terminal, or the like has been described as an example, but the external device 4 is not limited to these. For example, any device that records and analyzes the state of the user 5, such as a toilet device with a health management function for the user 5, can be used as the external device 4.
[0217] In the above embodiment, the case where the reception unit 45 receives external data from the external device 4 and uses the data for evaluation has been described, but the processing device 10 may not be linked to the external device 4. In this case, the reception unit 45 may be omitted from the processing device 10.
[0218] In the above embodiment, the recording unit 40 acquires and records the detection results of the biosensor 12a and the identification results of the identification sensor 14a, but is not limited to this. For example, the recording of the detection results of a specific user 5 may be omitted. [Explanation of symbols]
[0219] 2: Health management system 5: User 6: Toilet (water area) 7: Bathroom (wet area) 8: Washroom (water area) 9: Kitchen (wet area) 10: Processing equipment 12a, 12b, 12c, 12d: Biometric sensors (detection devices) 13a, 13b, 13c, 13d: attitude sensors (detection devices) 61: Excretion sensor 61 (detection device) 70: Stimulator K1: Toilet space (space) K2: Bathroom space (space) K3: Washroom space (space) K4: Kitchen space (space)
Claims
1. A health management system that manages the health of users in a space having a water area including a toilet, a washbasin, a kitchen, or a bathroom, a detection device provided in the space having the wet area and configured to detect the user using the wet area; a stimulation device that is provided in the space having the bathroom and that applies a predetermined stimulation to the user based on a detection result by the detection device; A health management system that includes:
2. a processing device having an estimation unit that estimates the health condition of the user, the stimulation device applies a predetermined stimulation to the user based on the estimated health condition of the user. The health management system according to claim 1 .
3. An identification device is provided in the space and identifies the plurality of users who use the wet area, the stimulation device provides a predetermined stimulus to the user based on the identified health condition of the user. The health management system according to claim 2 .
4. A health management system that manages the health of users in a space having a water area including a toilet and a bathroom, a detection device provided in the space having the toilet and configured to detect the user using the toilet; a stimulation device that is provided in the space having the bathroom and that applies a predetermined stimulation to the user based on a detection result by the detection device; A health management system that includes:
5. The detection device detects the excretion state of the user. The health management system according to claim 4 .
6. the detection device detects biometric data of the user; The health management system according to claim 4 .
7. At least one detection device is provided in the space having the wet area, including the toilet, the washbasin, or the kitchen. The health management system according to claim 1 .
8. At least two or more detection devices are provided in the space, The estimation unit estimates the health state of the user based on the detection results of each of the plurality of detection devices. The health management system according to claim 3 .
9. At least one detection device is provided in each of the space having the toilet and the space having the bathroom, The estimation unit estimates the health state of the user based on the detection results of each of the plurality of detection devices. The health management system according to claim 3 .
10. the stimulation device applies a predetermined stimulus to the user based on a predetermined criterion associating a predetermined health state with a predetermined type of stimulus and the health state of the user estimated by the estimation unit; The health management system according to claim 2 .
11. The stimulation device applies a physical stimulus to the body of the user as the predetermined stimulus. The health management system according to any one of claims 1 to 10.
12. The stimulation device applies the predetermined stimulation to the user by controlling the amount of water, the temperature of water, the speed of water flow, or the form of water flow in a bathtub in the bathroom, or by controlling changes in the amount of water, the temperature of water, the speed of water flow, or the form of water flow. The health management system of claim 11 .
13. the stimulation device applies the predetermined stimulation to the user by controlling a water discharge pattern from a shower device provided in the bathroom; The health management system of claim 11 .
14. the stimulation device controls a sound device or a light installed in the bathroom to provide the predetermined stimulation to the user. The health management system according to any one of claims 1 to 9.
15. the processing device further includes a generating unit that generates recommendation information, which is a health-related suggestion for the user, using the estimation result of the estimating unit, and a notifying unit that notifies the user of the recommendation information.
11. The health management system according to claim 2, or any one of claims 8 to 10.
Citation Information
Patent Citations
Information providing apparatus and information providing program
JP2021018760A