Health management system

Abstract

The present invention detects the condition of a user with high accuracy.　A health management system 2 for managing the health of a user 5 in a space having a water-related area including a toilet 6, a washbasin 8, a kitchen 9, or a bathroom 7 comprises: a detection device provided in the space having the water-related area to detect the user 5 using the water-related area; and a stimulation device 70 provided in a space having the bathroom 7 to provide a predetermined stimulus to the user 5 on the basis of a detection result from the detection device.

Description

Health Management System

[0001] The present invention relates to a health care system.

[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.

[0004] Japanese Patent Application Laid-Open No. 2021-18760

[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.

[0007] To solve the above problems, according to a first aspect of the present disclosure, 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, in the health management system according to the second aspect of the present disclosure, in the first aspect, a processing device having an estimation unit that estimates the health condition of the user is further provided, 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, in the health management system according to the third aspect of the present disclosure, in the first or second aspect, an identification device is provided in the space for identifying the plurality of users using 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, in the health management system according to the fourth aspect of the present disclosure, in the first to third aspects, the health management system manages the health of a user in a space having a water-related area including a toilet and a bathroom, and includes a detection device provided in the space having the toilet and detecting the user using the toilet, and a stimulation device provided in the space having the bathroom and giving 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 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 disclosure, in the first to fourth aspects, the detection device detects an 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 disclosure, in the first to fifth aspects, 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 the seventh aspect of the present disclosure, in the first to sixth aspects, at least one detection device 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 the health management system according to the eighth aspect of the present disclosure, in the first to seventh aspects, 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 the health management system according to the ninth aspect of the present disclosure, in the first to eighth aspects, at least one detection device is provided in each of the space having the toilet and 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 the health management system according to the tenth aspect of the present disclosure, in the first to ninth aspects, the stimulation device provides a predetermined stimulation to the user based on a predetermined criterion that associates a predetermined health state with a predetermined type of stimulation 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 disclosure, in the first to tenth aspects, 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 disclosure, in the first to eleventh aspects, 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 the thirteenth aspect of the present disclosure, in the first to twelfth aspects, the stimulation device provides the user with the predetermined stimulation by controlling the water discharge pattern from a shower device installed 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 the fourteenth aspect of the present disclosure, in the first to thirteenth aspects, the stimulation device provides the user with the predetermined stimulation by controlling an audio device or lighting installed in the bathroom.

[0034] This configuration allows a visual or auditory stimulus to be given to the user.

[0035] In addition, in the health management system according to the fifteenth aspect of the present disclosure, in the first to fourteenth aspects, 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 user of 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.

[0037] Furthermore, a posture evaluation system according to a sixteenth aspect of the present disclosure is a posture evaluation system that evaluates a user in a space having at least one wet area, such as a toilet, bathroom, washbasin, or kitchen, and includes a detection device that is provided in the space having the wet area and detects the user using the wet area, and a processing device that has an evaluation unit that evaluates the posture of the user based on the detection results by the detection device.

[0038] With this configuration, since users tend to behave in the same way (with little variation) in wet spaces, evaluating the user's posture in wet spaces makes it possible to perform a highly accurate evaluation. Furthermore, by evaluating the user's posture, which is related to the user's health condition, it becomes possible to effectively support the user's health.

[0039] In addition, in the posture evaluation system according to the seventeenth aspect of the present disclosure, in the sixteenth aspect, an identification device is provided in the space having the wet area, and identifies each of the multiple users using the wet area, and the evaluation unit individually evaluates the identified users.

[0040] According to this configuration, each user who uses the wet area can be evaluated separately, and therefore each user can be evaluated and managed individually.

[0041] In addition, in the posture evaluation system according to the 18th aspect of the present disclosure, in the 16th or 17th aspect, the detection device is provided in each of a plurality of spaces having different types of wet areas, the identification device is provided in each of the plurality of spaces, and the evaluation unit, corresponding to each of the identified users, comprehensively evaluates the posture of the users based on the detection results of each of the plurality of detection devices.

[0042] With this configuration, it is possible to evaluate a user by taking into account the overall use of multiple bathroom spaces.

[0043] In addition, in the posture evaluation system according to the 19th aspect of the present disclosure, in the 16th to 18th aspects, an entry detection device is further provided that detects the entry of the user into the space, and the identification device identifies each of the users when the entry of the user into the space is detected.

[0044] According to this configuration, by performing identification when entry is detected, each user can be efficiently evaluated.

[0045] In addition, in the posture evaluation system according to the twentieth aspect of the present disclosure, in the sixteenth to nineteenth aspects, the water-related area is the toilet and the bathroom, and the evaluation unit evaluates the user's posture using the detection results of the user using the toilet by the detection device and the detection results of the user using the bathroom by the detection device.

[0046] With this configuration, since toilets and bathrooms are wet areas where users are particularly likely to behave in the same way, by using the detection results of users using the toilet and bathroom, it is possible to evaluate the users' posture with high accuracy.

[0047] In addition, in the posture evaluation system according to the 21st aspect of the present disclosure, in the 16th to 20th aspects, the evaluation unit evaluates the posture of the user using the toilet based on the user's sitting posture or changes in posture before and after sitting.

[0048] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture that is specific to using the toilet.

[0049] In addition, in the posture evaluation system according to the 22nd aspect of the present disclosure, in the 16th to 21st aspects, the evaluation unit evaluates the posture of the user based on changes in the center of gravity or posture of the user using the bathroom.

[0050] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture that is specific to when using the bathroom.

[0051] In addition, in the posture evaluation system according to the 23rd aspect of the present disclosure, in the 16th to 22nd aspects, the evaluation unit performs an evaluation corresponding to at least one of the user's physical ability, balance ability, body distortion, leg strength, and athletic ability.

[0052] This configuration makes it possible to evaluate the physical condition of the user, thereby effectively supporting the health of the user.

[0053] In addition, in the posture evaluation system according to the 24th aspect of the present disclosure, in the 16th to 23rd aspects, the processing device further includes a generation unit that uses the evaluation results of the evaluation unit to generate recommendation information that is a suggestion regarding exercise or posture for the user, and a notification unit that notifies the user of the recommendation information.

[0054] According to this configuration, the recommendation information allows the user to recognize the evaluation of his / her posture, and encourages the user to change his / her behavior.

[0055] In addition, in the posture evaluation system according to the 25th aspect of the present disclosure, in the 16th to 24th aspects, the processing device further includes a generation unit that uses evaluation results within a predetermined period, including the most recent evaluation result from the evaluation unit, to generate recommendation information that is a suggestion regarding exercise or posture for the user.

[0056] According to this configuration, by using evaluation results within a predetermined period, including the most recent evaluation result, it is possible to generate recommendation information that corresponds to changes in the user's posture. In other words, it is possible to generate recommendation information that is suitable for the user.

[0057] In addition, in the posture evaluation system according to the 26th aspect of the present disclosure, in the 16th to 25th aspects, the evaluation unit sets the evaluation criteria for the user using detection results within a predetermined period, including the most recent detection result.

[0058] This configuration makes it possible to set evaluation criteria that are suitable for the user.

[0059] In addition, the posture evaluation system according to the 27th aspect of the present disclosure is a posture evaluation system in the 16th to 26th aspects that evaluates a user in a space having a toilet, and includes a detection device that is provided in the space having the toilet and detects the user using the toilet, and a processing device that has an evaluation unit that evaluates the posture of the user using the toilet based on the detection result by the detection device.

[0060] With this configuration, since toilets are wet areas where users are particularly likely to behave in the same way, by using the detection results of users using the toilet, it is possible to evaluate the user's posture with high accuracy.

[0061] In addition, the posture evaluation system according to the 28th aspect of the present disclosure is a posture evaluation system in the 16th to 27th aspects that evaluates a user in a space that each has a toilet and a bathroom, and includes a first detection device that is provided in the space that has the toilet and detects the user using the toilet, a second detection device that is provided in the space that has the bathroom and detects the user using the bathroom, and a processing device that has an evaluation unit that evaluates the posture of the user based on the detection results by the first detection device and the second detection device.

[0062] With this configuration, since toilets and bathrooms are wet areas where users are particularly likely to behave in the same way, by using the detection results of users using the toilet and bathroom, it is possible to evaluate the users' posture with high accuracy.

[0063] In addition, in the posture evaluation system according to the 29th aspect of the present disclosure, in the 16th to 28th aspects, the evaluation unit evaluates the posture of the user detected in the space having the bathroom when entering the bathtub or the bathing posture.

[0064] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture that is specific to when using the bathroom.

[0065] In addition, in the posture evaluation system according to the 30th aspect of the present disclosure, in the 16th to 29th aspects, each of the spaces has the toilet, the bathroom, and a washbasin, respectively, and further includes a third detection device that is provided in the space having the washbasin and detects the user using the washbasin, and the evaluation unit evaluates the posture of the user based on the detection result by the third detection device.

[0066] According to this configuration, the evaluation can be carried out efficiently by using the detection results of users using the toilet, bathroom, and washbasin.

[0067] In addition, in the posture evaluation system according to the 31st aspect of the present disclosure, in the 16th to 30th aspects, each of the spaces has the toilet, the bathroom, and a kitchen, respectively, and further includes a third detection device that is provided in the space having the kitchen and detects the user using the kitchen, and the evaluation unit evaluates the posture of the user based on the detection result by the third detection device.

[0068] According to this configuration, the evaluation can be performed efficiently by using the detection results of users using the toilet, bathroom, and kitchen.

[0069] In addition, in the posture evaluation system according to a thirty-second aspect of the present disclosure, in any of the sixteenth to thirty-first aspects, the evaluation unit evaluates the user's bending posture or standing posture.

[0070] According to this configuration, by evaluating the bending posture and the standing posture, it is possible to effectively evaluate the posture of the user.

[0071] Furthermore, the posture evaluation system according to the 33rd aspect of the present disclosure is a posture evaluation system in any of the 16th to 32nd aspects that evaluates a user in a space that has a bathroom and a washbasin, and includes a first detection device that is provided in the space that has the bathroom and detects the user using the bathroom, a second detection device that is provided in the space that has the washbasin and detects the user using the washbasin, and a processing device that has an evaluation unit that evaluates the posture of the user based on the detection results by the first detection device and the second detection device.

[0072] With this configuration, since the bathroom and washbasin are wet areas where users tend to behave in the same way, by using the detection results of users using the bathroom and washbasin, it is possible to evaluate the user's posture with high accuracy.

[0073] In addition, in the posture evaluation system according to the 34th aspect of the present disclosure, in the 16th to 33rd aspects, the processing device further includes a recording unit that records the detection results by the detection device in association with time information, and the evaluation unit evaluates changes in the user's posture based on the detection results by the detection device and the time information.

[0074] This configuration makes it possible to perform evaluation taking into account changes in the user's posture.

[0075] In addition, in the posture evaluation system according to the 35th aspect of the present disclosure, in the 16th to 34th aspects, the processing device further includes a generation unit that uses the detection result of the detection device or the evaluation result of the evaluation unit to generate recommendation information that is a suggestion for the user regarding at least one of nutrition, sleep, and exercise.

[0076] According to this configuration, the recommendation information includes a suggestion regarding at least one of nutrition, sleep, and exercise, thereby encouraging the user to change their behavior.

[0077] In addition, in the posture evaluation system according to the 36th aspect of the present disclosure, in the 16th to 35th aspects, the processing device further includes a reception unit that receives data related to the user from an external device, and the evaluation unit uses the data to evaluate the posture of the user.

[0078] According to this configuration, the accuracy of the evaluation can be improved by using external data.

[0079] In addition, in the posture evaluation system according to a thirty-seventh aspect of the present disclosure, in the sixteenth to thirty-sixth aspects, the evaluation unit evaluates the posture of the user by assigning a score based on a predetermined evaluation criterion.

[0080] This configuration allows the user to easily recognize the evaluation results.

[0081] In addition, in the posture evaluation system according to the 38th aspect of the present disclosure, in the 16th to 37th aspects, the processing device further includes a judgment unit that judges whether the user is cleaning within the space based on the detection result of the detection device, and if it is determined that the user is cleaning, the evaluation unit does not perform an evaluation of the user's posture while cleaning.

[0082] According to this configuration, since the user may take various postures while cleaning, by not making an evaluation while cleaning, incorrect evaluations are prevented.

[0083] Furthermore, in the posture evaluation system according to the 39th aspect of the present disclosure, in the 16th to 38th aspects, the processing device further includes a determination unit that determines whether or not the user is cleaning within the space based on the detection result of the detection device, and the evaluation unit excludes the detection result of the detection device when it is determined that the user is cleaning, and uses the detection result of the detection device when it is determined that the user is not cleaning to evaluate the user's posture.

[0084] With this configuration, since the user may assume various postures while cleaning, erroneous evaluations can be prevented by not making evaluations while the user is cleaning. In other words, it is possible to make evaluations while suppressing unnecessary noise.

[0085] In addition, in the posture evaluation system according to the fortieth aspect of the present disclosure, in the sixteenth to thirty-ninth aspects, the processing device further includes an estimation unit that estimates the health state of the user based on the evaluation results of the evaluation unit.

[0086] According to this configuration, by estimating the health condition, it becomes possible to more effectively support the health of the user.

[0087] In addition, the hygiene evaluation system according to the forty-first aspect of the present disclosure is a hygiene evaluation system that evaluates users in a space having at least one wet area, such as a toilet, a washbasin, a bathroom, or a kitchen, and includes a detection device that is provided in the space having the wet area and detects users using the wet area, and a processing device that has an evaluation unit that evaluates the hygiene habits of the users based on the detection results by the detection device.

[0088] With this configuration, since users tend to behave in the same way (with little variation) in wet spaces, evaluating users' hygiene habits in wet spaces makes it possible to perform highly accurate evaluations. Furthermore, by evaluating users' hygiene habits, it is possible to effectively support the health of users, since hygiene habits are related to the user's health status, etc. For example, the hygiene evaluation system can be used for child education (e.g., discipline).

[0089] In addition, in the hygiene evaluation system according to the 42nd aspect of the present disclosure, in the 41st aspect, an identification device is provided in the space having the wet area, and identifies each of the multiple users who use the wet area, and the evaluation unit individually evaluates the identified users.

[0090] According to this configuration, each user who uses the wet area can be evaluated separately, and therefore each user can be evaluated and managed individually.

[0091] In addition, in the hygiene evaluation system according to the 43rd aspect of the present disclosure, in the 41st or 42nd aspect, the processing device further includes an estimation unit that estimates at least one of the beauty condition and skin condition of the user based on the evaluation result of the user's hygiene habits by the evaluation unit.

[0092] According to this configuration, it is possible to estimate beauty and skin condition based on the results of the evaluation of hygiene habits, thereby enabling more effective support for the health of the user.

[0093] In addition, in the hygiene evaluation system according to the 44th aspect of the present disclosure, in the 41st to 43rd aspects, the processing device further includes an estimation unit that estimates the health condition of the user based on the evaluation results of the user's hygiene habits by the evaluation unit.

[0094] According to this configuration, the health condition can be estimated based on the evaluation results of hygiene habits, which makes it possible to more effectively support the health of the user.

[0095] In addition, in the hygiene evaluation system according to the 45th aspect of the present disclosure, in the 41st to 44th aspects, the processing device further includes a recording unit that records the detection results by the detection device in association with time information, and the evaluation unit evaluates changes in the user's hygiene habits based on the detection results by the detection device and the time information.

[0096] This configuration makes it possible to perform evaluation taking into account changes in the user's hygiene habits.

[0097] In addition, in the hygiene evaluation system according to the 46th aspect of the present disclosure, in the 41st to 45th aspects, the detection device is provided in each of a plurality of spaces having different types of wet areas, and the evaluation unit evaluates the hygiene habits of the user based on the detection results of each of the plurality of detection devices.

[0098] With this configuration, it is possible to evaluate a user by taking into account the overall use of multiple bathroom spaces.

[0099] In addition, in the hygiene evaluation system according to the 47th aspect of the present disclosure, in the 41st to 46th aspects, when the space has a toilet, the evaluation unit evaluates the user based on at least one of the presence or absence of hand washing, the timing of hand washing, the duration of hand washing, and the hand washing action when using the toilet.

[0100] This configuration allows for effective evaluation of the hygiene habits of users of the toilet.

[0101] Furthermore, in the hygiene evaluation system according to the 48th aspect of the present disclosure, in the 41st to 47th aspects, when the space has a washbasin, the evaluation unit evaluates the user based on at least one of the following when using the washbasin: whether or not the user washed their hands, the timing of hand washing, the duration of hand washing, the hand washing action, whether or not the user brushed their teeth, the timing of tooth brushing, the duration of tooth brushing, and the tooth brushing action.

[0102] This configuration makes it possible to effectively evaluate the hygiene habits of users who use the washroom.

[0103] In addition, in the hygiene evaluation system according to the 49th aspect of the present disclosure, in the 41st to 48th aspects, if the space has a bathroom, the evaluation unit evaluates the user based on at least one of the bathing timing, bathing duration, and number of baths when using the bathroom.

[0104] This configuration allows the hygiene habits of bathroom users to be effectively evaluated.

[0105] In addition, in the hygiene evaluation system according to the 50th aspect of the present disclosure, in the 41st to 49th aspects, the evaluation unit evaluates the user based on the detection results from the detection device and predetermined hygiene habit standards.

[0106] According to this configuration, it is possible to evaluate desired hygiene habits by using the hygiene habit standard.

[0107] In addition, in the hygiene evaluation system according to the 51st aspect of the present disclosure, in the 41st to 50th aspects, the hygiene habit standard is standard information in which at least one of the situation, timing, and procedure is set for actions related to hygiene habits.

[0108] This configuration allows for appropriate setting of hygiene practice standards.

[0109] In addition, in the hygiene evaluation system according to a fifty-second aspect of the present disclosure, in any of the forty-first to fifty-first aspects, the evaluation unit evaluates the user's degree of achievement of a plurality of hygiene habit standards.

[0110] This configuration allows for a comprehensive assessment of multiple hygiene standards.

[0111] In addition, in the hygiene evaluation system according to the 53rd aspect of the present disclosure, in the 41st to 52nd aspects, the processing device further includes a generation unit that uses the evaluation results of the evaluation unit to generate recommendation information that is a suggestion regarding hygiene habits for the user, and a notification unit that notifies the user of the recommendation information.

[0112] According to this configuration, the recommendation information allows the user to recognize the evaluation of his or her hygiene habits and encourages the user to change his or her behavior.

[0113] In addition, in the hygiene evaluation system according to the 54th aspect of the present disclosure, in the 41st to 53rd aspects, the processing device further includes a reception unit that receives data related to the user from an external device, and the evaluation unit uses the data to evaluate the hygiene habits of the user.

[0114] According to this configuration, the accuracy of the evaluation can be improved by using external data.

[0115] In addition, in the hygiene evaluation system according to a fifty-fifth aspect of the present disclosure, in any one of the forty-first to fifty-fourth aspects, the data is information indicating that the user has returned home.

[0116] This configuration makes it possible to evaluate hygiene habits related to returning home.

[0117] According to the health management system of the present invention, the condition of the user can be detected with high accuracy.

[0118] 1 is a schematic diagram showing an example of the overall configuration of a system according to a first embodiment. FIG. 1 is a diagram showing an example of a detection device provided in a toilet space. FIG. 2 is a diagram showing an example of a detection device provided in a bathroom space. FIG. 3 is a diagram showing an example of a detection device provided in a washroom space. FIG. 4 is a diagram showing an example of a detection device provided in a kitchen space. FIG. 5 is a diagram showing an example of a hardware configuration of a processing device. FIG. 6 is a block diagram showing an example of various functions of the processing device. FIG. 7 is a diagram showing an example of a stimulation device provided in a bathroom space. FIG. 8 is a flowchart showing an example of a processing flow of detection by the detection device in the toilet space and individual estimation by the processing device. FIG. 9 is a flowchart showing an example of a flow of comprehensive estimation by the processing device. FIG. 10 is a diagram showing an example of a screen when a notification is made to a user terminal by a notification unit. FIG. 11 is a flowchart showing an example of a flow of stimulation by the processing device and the stimulation device in the bathroom space. FIG. 12 is a schematic diagram showing an example of the overall configuration of a system according to a second embodiment of the present disclosure. FIG. 13 is a diagram showing an example of individual evaluation in the toilet space. FIG. 14 is a diagram showing an example of individual evaluation in the bathroom space. FIG. 15 is a diagram showing an example of individual evaluation in the washroom space. FIG. 16 is a diagram showing an example of individual evaluation in the kitchen space. FIG. 17 is a diagram showing an example of changes in sitting posture over time. FIG. 18 is a diagram showing an example of changes in posture when entering a bathtub over time. FIG. 19 is a diagram showing an example of a result of comprehensive evaluation. FIG. 19 is a diagram showing an example of a notification screen. FIG. 19 is a flowchart showing an example of a first processing flow corresponding to the toilet space by the processing device. 10 is a flowchart showing an example of a second processing flow corresponding to a bathroom space by a processing device. FIG. 11 is a flowchart showing an example of a third processing flow corresponding to a wash space by a processing device. FIG. 12 is a flowchart showing an example of a fourth processing flow corresponding to a kitchen space by a processing device. FIG. 13 is a flowchart showing an example of a comprehensive processing flow by a processing device. FIG. 14 is a schematic diagram showing an example of the overall configuration of a system according to a third embodiment of the present disclosure. FIG. 15 is a diagram showing a specific example of a hygiene habit standard. FIG. 16 is a diagram showing an example of a notification screen. FIG. 17 is a flowchart showing an example of a processing flow corresponding to a toilet space by a processing device. FIG. 18 is a flowchart showing an example of a processing flow corresponding to a bathroom space by a processing device. FIG. 19 is a flowchart showing an example of a processing flow corresponding to a wash space by a processing device.10 is a flowchart showing an example of a flow of processing by the processing device corresponding to a kitchen space.

[0119] 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.

[0120] First Embodiment First, a system 1 according to a first embodiment will be described.

[0121] <Overall Configuration> FIG. 1 is a schematic diagram showing an example of the overall configuration of a system 1 according to the first embodiment.

[0122] As shown in FIG. 1, the system 1 includes a health management system 2, a user terminal 3, and an external device 4.

[0123] 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 the first 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 the first 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."

[0124] In the first embodiment, the case where the wet area is each of the toilet 6, bathroom 7, washbasin 8, and kitchen 9 is described as an example, but at least one of the toilet 6, bathroom 7, washbasin 8, and kitchen 9 may also be the wet area.

[0125] The processing device 10 is an information processing device that estimates the health state of the user 5. The processing device 10 is, for example, a server device.

[0126] 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.

[0127] 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.

[0128] 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 the first embodiment, the user terminal 3 is, for example, a smartphone.

[0129] 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 the first embodiment, an example is taken in which 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.

[0130] <Configuration of the detection device 11> FIG. 2 is a diagram showing an example of the detection device 11 provided in the toilet space K1.

[0131] 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, a communication unit 16a, and a behavior sensor 17a.

[0132] 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.

[0133] 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 includes, 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.

[0134] The identification sensor 14a is provided in the toilet space K1. The identification sensor 14a is an identification device that identifies each of the multiple users 5 using the toilet 6. For example, three users 5 using the toilet 6, namely, user ID 1, user ID 2, and user ID 3, are registered in advance, and the identification sensor 14a identifies whether the user 5 using the toilet 6 has user ID 1, user ID 2, or user ID 3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the users 5 may be performed by the identification sensor 14a or by the processing device 10 described above.

[0135] 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 the 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 in the toilet space K1 when the entry of the user 5 into the toilet space K1 is detected. In other words, after the entry is detected by the entry / exit sensor 15a, the identification sensor 14a performs identification. Note that the entry / exit sensor 15a may also be an entry detection device that detects entry.

[0136] 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.

[0137] The behavior sensor 17a is provided in the toilet space K1. The behavior sensor 17a is a detection device that detects a user 5 using the toilet 6. Specifically, the behavior sensor 17a detects information related to the behavior of the user 5. The information related to the behavior is, for example, movements or states that indicate the behavior of the user 5. In other words, the information related to the behavior makes it possible to determine what behavior the user 5 is exhibiting. The behavior sensor 17a is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, or the like, and detects the behavior of the user 5.

[0138] In addition, the biological sensor 12a, posture sensor 13a, identification sensor 14a, entry / exit sensor 15a, excretion sensor 61, and behavior sensor 17a may be installed in the same position in the toilet space K1 or in different positions.

[0139] The communication unit 16a is a device that transmits detection results of the biosensor 12a, the posture sensor 13a, the entrance / exit sensor 15a, the excretion sensor 61, or the behavior sensor 17a, and identification results of the identification sensor 14a, etc. to the processing device 10. As a result, the results of each sensor are aggregated in the processing device 10.

[0140] FIG. 3 is a diagram showing an example of the detection device 11 installed in the bathroom space K2.

[0141] 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.

[0142] The biosensor 12b is provided in the bathroom space K2. The biosensor 12b is a detection device for detecting the physical condition of the user 5 using the bathroom 7. Specifically, the biosensor 12b detects biometric data of the user 5. For example, the biosensor 12b 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 12b is, for example, a laser sensor, an infrared sensor, a camera, etc.

[0143] The posture sensor 13b is provided in the bathroom space K2. The posture sensor 13b is a detection device that detects the physical state of the user 5 using the bathroom 7. For example, the posture sensor 13b detects the user 5 using the bathtub 7a. Specifically, the posture sensor 13b detects information related to the posture of the user 5. The information related to the posture includes, for example, the posture, behavior, action, state, sound, etc. of the user 5. The posture sensor 13b is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, a microphone, etc.

[0144] 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 ID 1, user ID 2, and user ID 3, 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 ID 1, user ID 2, or user ID 3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the users 5 may be performed by the identification sensor 14b or by the processing device 10 described above.

[0145] 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.

[0146] The behavior sensor 17b is provided in the bathroom space K2. The behavior sensor 17b is a detection device that detects the user 5 using the bathroom 7. Specifically, the behavior sensor 17b detects information related to the behavior of the user 5. The behavior sensor 17b is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, or the like, and detects the behavior of the user 5.

[0147] In addition, the biological sensor 12b, posture sensor 13b, identification sensor 14b, entry / exit sensor 15b, and behavior sensor 17b may be installed in the same position in the bathroom space K2 or in different positions.

[0148] The communication unit 16b is a device that transmits detection results of the biosensor 12b, the posture sensor 13b, the entrance / exit sensor 15b, or the behavior sensor 17b, and identification results of the identification sensor 14b, etc. to the processing device 10. As a result, the results of each sensor are aggregated in the processing device 10.

[0149] FIG. 4 is a diagram showing an example of the detection device 11 provided in the washroom space K3.

[0150] 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.

[0151] 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 using the washroom 8. Specifically, the washroom 8 is 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.

[0152] 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.

[0153] 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 ID 1, user ID 2, and user ID 3, 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 ID 1, user ID 2, or user ID 3. 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.

[0154] 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 from 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. Note that the entry / exit sensor 15c may also be an entry detection device that detects entry.

[0155] The behavior sensor 17c is provided in the washroom space K3. The behavior sensor 17c is a detection device that detects a user 5 using the washroom 8. The washroom 8 is specifically a vanity. Specifically, the behavior sensor 17c detects information related to the behavior of the user 5. The behavior sensor 17c is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, or the like, and detects the behavior of the user 5.

[0156] The biometric sensor 12c, posture sensor 13c, identification sensor 14c, entry / exit sensor 15c, and behavior sensor 17c may be installed in the same position in the washroom space K3 or in different positions.

[0157] The communication unit 16c is a device that transmits detection results of the biosensor 12c, the posture sensor 13c, the entrance / exit sensor 15c, or the behavior sensor 17c, and identification results of the identification sensor 14c, etc. to the processing device 10. As a result, the results of each sensor are aggregated in the processing device 10.

[0158] FIG. 5 is a diagram showing an example of the detection device 11 provided in the kitchen space K4.

[0159] 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.

[0160] The biometric sensor 12d is provided in the kitchen space K4. The biometric sensor 12d is a detection device for detecting the physical condition of the user 5 using the kitchen 9. The kitchen 9 includes, for example, a sink and cooking utensils. The biometric sensor 12d also detects biometric data of the user 5. For example, the biometric sensor 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 biometric sensor 12d is, for example, a laser sensor, an infrared sensor, a camera, etc.

[0161] 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, etc.

[0162] 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 ID 1, user ID 2, and user ID 3, 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 ID 1, user ID 2, or user ID 3. The identification method can be, for example, image recognition, and the specific method is not limited. Note that the identification (specification) of the users 5 may be performed by the identification sensor 14d or by the processing device 10 described above.

[0163] 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. Note that the entry / exit sensor 15d may also be an entry detection device that detects entry.

[0164] The behavior sensor 17d is provided in the kitchen space K4. The behavior sensor 17d is a detection device that detects a user 5 using the kitchen 9. The kitchen 9 includes, for example, a sink and cooking utensils. Specifically, the behavior sensor 17d detects information related to the behavior of the user 5. The behavior sensor 17d is, for example, a millimeter wave sensor, a line sensor, a camera, a load sensor, or the like, and detects the behavior of the user 5.

[0165] The biosensor 12d, posture sensor 13d, identification sensor 14d, entry / exit sensor 15d, and behavior sensor 17d may be provided at the same position in the kitchen space K4 or at different positions.

[0166] The communication unit 16d is a device that transmits detection results of the biosensor 12d, the posture sensor 13d, the entrance / exit sensor 15d, or the behavior sensor 17d, and identification results of the identification sensor 14d, etc. to the processing device 10. As a result, the results of each sensor are aggregated in the processing device 10.

[0167] As described above, biosensors 12a, 12b, 12c, and 12d are provided in a plurality of wet spaces each having a different type of wet area. Furthermore, attitude sensors 13a, 13b, 13c, and 13d are provided in a plurality of wet spaces each having a different type of wet area. Furthermore, identification sensors 14a, 14b, 14c, and 14d are provided in a plurality of wet spaces each having a different type of wet area. Furthermore, behavior sensors 17a, 17b, 17c, and 17d are provided in a plurality of wet spaces each having a different type of wet area.

[0168] <Hardware Configuration of Processing Device 10> FIG. 6 is a diagram schematically illustrating an example of the hardware configuration of the processing device 10. As shown in FIG.

[0169] 6, the processing device 10 includes a control device 30, a communication device 31, and a storage device 32. The control device 30 mainly includes a CPU (Central Processing Unit) 33 and a memory .

[0170] In the control device 30, the CPU 33 executes predetermined programs stored in the memory 34 or the storage device 32, thereby functioning as various functional components.

[0171] 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.

[0172] 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.

[0173] 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 include other configurations.

[0174] <Functional Configuration of Processing Device 10> FIG. 7 is a block diagram showing an example of various functions of the processing device 10. As shown in FIG.

[0175] 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.

[0176] 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 biometric sensors 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 further records the identification results of the behavior sensors 17a, 17b, 17c, and 17d. The recording unit 40 further records the results of the stimulation given to the user 5 by the stimulation device 70 .

[0177] 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 what condition the user 5 was in.

[0178] In this way, the recording unit 40 records and accumulates the detection results of the user 5 in each bathroom space.

[0179] The determination unit 41 performs a determination process based on the information obtained from the detection device 11 .

[0180] 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.

[0181] 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 entry / exit sensors 15a, 15b, 15c, and 15d.

[0182] 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.

[0183] 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. That is, 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).

[0184] 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 people's physical abilities decline, they tend to bend forward when cooking. For this reason, the ideal angle of the head position relative to the waist position is used as a reference, and if the user's posture is at the reference angle, the evaluation score is set to 10 points. The more the user's posture is bent forward and deviates from the reference angle, 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 heads leaning 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 user's posture 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.

[0185] 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 predetermined reference values, 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 assigned. 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 assigned. 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 assigned. 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 assigned a lower score.

[0186] 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 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 smooth and sausage-shaped, 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.

[0187] The evaluation unit 42 may also 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.

[0188] The estimation unit 43 estimates the health state of the user 5 based on the detection results of the detection device 11. Specifically, the estimation unit 43 estimates the health state of the user 5 based on the evaluation results 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 not only on the evaluation results of the evaluation unit 42 but also on the detection results 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 results of the detection device 11. Furthermore, the estimation unit 43 may estimate the health state of the user 5 based on the evaluation results of the evaluation unit 42 and the detection results of the detection device 11. The estimation result by the estimation unit 43 is recorded in the recording unit 40 .

[0189] In the first 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.”

[0190] The estimation unit 43 individually estimates the health condition of the user 5 in the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. The estimation unit 43 then comprehensively estimates the health condition of the user 5 in multiple wet spaces.

[0191] 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.

[0192] 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 5's blood pressure. If the evaluation results of the blood pressure indicate 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) indicate a score of less than 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 5's skin indicate 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 5's skin color indicate a score of less than 10, the estimation unit 43 individually estimates that the lower the evaluation, the more likely the user 5 is to have rough skin.

[0193] 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 user 5's health state is normal. On the other hand, if the evaluation results for the user 5's stool shape 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 user 5's urine color and transparency are 10 points, the estimation unit 43 individually estimates that the user 5's health state is normal. On the other hand, if the evaluation results for the user 5's urine color and transparency 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 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.

[0194] 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 by 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 under excessive stress. 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.

[0195] 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.

[0196] 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.

[0197] Specifically, when the individual estimation of the health state of user 5 does not estimate the health state to be normal, the generation unit 44 generates recommendation information to improve the health state. Note that when the individual estimation of the health state of user 5 estimates the health state to be normal, the generation unit 44 may generate recommendation information to maintain or further improve the health state.

[0198] Furthermore, the generation unit 44 generates recommendation information to improve the health condition of the user 5 when the overall estimation of the user's health condition is not normal. Note that the generation unit 44 may generate recommendation information to maintain or further improve the health condition of the user 5 when the overall estimation of the user's health condition is normal.

[0199] In the above example, the generator 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 generator 44 may generate recommendation information based on changes in the estimation results over time. That is, the generator 44 generates recommendation information for the user 5 using estimation results from a predetermined period (within the most recent predetermined period) including the latest estimation result. For example, when the estimation result is deteriorating, the generator 44 generates recommendation information to comprehensively improve the health condition of the user 5. Note that the generator 44 may change the content of the recommendation information depending on the degree of deterioration of the estimation result.

[0200] 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 .

[0201] 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.

[0202] The recommendation information generated by the generating unit 44 is preferably recorded in the recording unit 40 .

[0203] The receiving unit 45 receives data related to the user 5 from the external device 4. In the first 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 on 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.

[0204] When the reception 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.

[0205] In addition, if the evaluation unit 42 also uses external data to perform the evaluation, the estimation unit 43 may estimate the health condition of the user 5 based on the evaluation results using the detection results of the biosensor 12a, etc. and the external data.

[0206] The notification unit 46 notifies various information. Specifically, the notification unit 46 transmits various information to a predetermined destination to notify the user 5 or the like. For example, the notification unit 46 transmits 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 predetermined people such as the user 5's relatives, for example.

[0207] 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.

[0208] 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.

[0209] <Configuration of Stimulation Device 70> FIG. 8 is a diagram showing an example of the stimulation device 70 provided in the bathroom space K2.

[0210] 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 stimulus to the user 5. Here, the predetermined stimulus may be a physical stimulus provided to the body of the user 5, or may be an auditory or visual stimulus.

[0211] 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.

[0212] 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 the control signal to each component of the stimulation device 70.

[0213] 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 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 the control signal to each component of the stimulation device 70.

[0214] 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.

[0215] 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 in response to an operation by the user 5 or 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.

[0216] 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 by 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, or by controlling changes in the amount of water, water temperature, water flow speed, or water flow pattern.

[0217] 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.

[0218] The sitz bath section 717 is, for example, a device that ejects high-pressure water toward the user 5. The sitz bath section 717 stimulates the user 5 by ejecting high-pressure water. Specifically, the sitz bath section 717 controls the high-pressure water ejection by operation of the user 5 or by a control signal from the processing device 10. For example, the sitz bath section 717 presses against the lower back and back of the user 5 to provide a massage effect by controlling the amount, temperature, speed, or form of the high-pressure water ejection, or by controlling changes in the amount, temperature, speed, or form of the water flow.

[0219] The acoustic device 73 is provided in the bathroom space K2. The acoustic device 73 is a device that plays sounds. The acoustic device 73 provides auditory stimulation to the user 5 through sounds. Specifically, the acoustic device 73 plays sounds 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 playing sounds such as music, natural sounds, and audio guides for meditation.

[0220] 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.

[0221] 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.

[0222] In the first 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 be the stimulation device 70. The stimulation device 70 may further include any component that stimulates the user 5. For example, the stimulation device 70 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.

[0223] Furthermore, the components of the stimulation device 70 may be controlled in conjunction with one another. For example, the lighting 75 may control the light in time with the music played by the sound device 73, thereby providing a further relaxation 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 a further massaging effect to the neck and shoulders of the user 5.

[0224] The control signal transmitted 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 audio device 73 to play sound. The control signal also causes the lighting device 75 to emit light. The control signal also causes the shower device 77 to control the water discharge pattern.

[0225] Here, physical stimuli include stimuli given to the user 5 by 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, using the bathtub device 71. Physical stimuli also include stimuli given to the user 5 by controlling the water discharge pattern using the shower device 77. In addition to the above-mentioned water stimuli, physical stimuli may also include stimuli given to the user 5 by bubbles or vibrations of a part of the bathtub 7a.

[0226] <Processing Flow of Detection and Individual Estimation> FIG. 9 is a flowchart showing an example of the processing flow of detection by the detection device 11 and individual estimation by the processing device 10 in the toilet space K1.

[0227] 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.

[0228] (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.

[0229] (Step SP11) The recording unit 40 acquires and records the detection results of the biosensor 12a, posture sensor 13a, entry / exit sensor 15a, or 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, composition, odor, and amount of excrement detected by the excretion sensor 61. Then, the process proceeds to step SP12.

[0230] (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 user 5 has not been detected as having exited, the process returns to step SP11 and is executed again. If the user 5 has been detected as having exited, the process proceeds to step SP13.

[0231] (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 assign 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 for the stool shape 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.

[0232] (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 stool shape. Then, the processing proceeds to step SP15.

[0233] (Step SP15) The notification unit 46 notifies the user 5, etc., 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.

[0234] As described above, the detection and individual estimation processes are performed in the toilet space K1.

[0235] 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 estimations are also 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 Figure 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.

[0236] 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.

[0237] 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 need to be evaluated in any of the wet spaces.

[0238] The individual estimation of the health condition 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 condition 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 condition of the user 5 does not have to be performed in any of the wet spaces.

[0239] <Processing Flow of Comprehensive Estimation> FIG. 10 is a flowchart showing an example of the processing flow of comprehensive estimation by the processing device 10. As shown in FIG.

[0240] 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.

[0241] (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) in the past. 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 spaces, i.e., the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4.

[0242] (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 individual estimation result for the toilet space K1 that the user 5 is likely to be constipated and the individual estimation result 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.

[0243] (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. The processing then ends. After the end, the processing is executed again from step SP50 at a predetermined control cycle.

[0244] As described above, the individual estimates for different types of bathroom spaces are combined to produce a comprehensive estimate for the user 5.

[0245] 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.

[0246] FIG. 11 is a diagram showing an example of a screen displayed when the notification unit 46 notifies the user terminal 3. In FIG.

[0247] 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 displays 151, 152, 153, and 154, respectively. The overall estimation result 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.

[0248] In this way, the notification unit 46 notifies the user 5 etc. It is preferable that the history of notifications 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.

[0249] By checking the notification, the user 5 or the like can recognize the estimated results for his / her own health condition, recommended information, and the like.

[0250] <Stimulation 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.

[0251] 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.

[0252] (Step SP70) The determination unit 41 determines whether 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.

[0253] (Step SP71) The recording unit 40 acquires and records the identification result of the identification sensor 14b, and then the process proceeds to step SP72.

[0254] (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 processing proceeds to step SP73.

[0255] 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 section 717 to eject high-pressure water, which presses against the lower back and back of the user 5, providing 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 section 713 to eject 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.

[0256] (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, thereby pressing against the lower back and back of the user 5 and providing a massage effect. Then, the process proceeds to step SP74.

[0257] (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.

[0258] 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.

[0259] 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 set in advance. 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 set in advance 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 set in advance as the above-mentioned specific stimulus. For example, a stimulus provided by the audio device 73 and a stimulus provided by the light 75 are set in advance 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 light 75 are provided to the user 5.

[0260] 12 illustrates a process in which a control signal is transmitted from the processing device 10. However, 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 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.

[0261] <Effects> As described above, the health management system 2 according to the first 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.

[0262] According to this configuration, since the user 5 tends to behave in the same way in the wet space, 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. Furthermore, by providing a stimulus to the user 5 in the bathroom 7 based on the detection result of the user 5 in the wet space, it is possible to provide a more effective stimulus that corresponds to the state of the user 5 compared to when providing a stimulus to the user 5 not based on the detection result of the user 5.

[0263] 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.

[0264] According to this configuration, it is possible to estimate the health condition of the user 5 who uses the wet area. Also, 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.

[0265] 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 wet area, and the stimulation device 70 provides a predetermined stimulation to the user 5 based on the health condition of the identified user 5.

[0266] 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.

[0267] 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.

[0268] 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.

[0269] In addition, in the health management system 2, the detection device detects the excretory state of the user 5.

[0270] 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.

[0271] In addition, in the health management system 2 , the detection device detects biometric data of the user 5 .

[0272] 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.

[0273] In addition, 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.

[0274] 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.

[0275] In addition, in the health management system 2, at least two detection devices are installed in a space having a wet area, 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.

[0276] According to this configuration, by combining the detection results of multiple detection devices, it is possible to estimate the health condition of user 5 with higher accuracy compared to estimating the health condition of user 5 based on the detection result of a single detection device.

[0277] 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.

[0278] 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 that corresponds to the health condition of the user 5, compared to, for example, not detecting the user 5 in the bathroom 7.

[0279] In addition, in the health management system 2, the stimulation device 70 provides a predetermined stimulation to the user 5 based on a predetermined criterion that associates a predetermined health state with a predetermined type of stimulation and the health state of the user 5 estimated by the estimation unit 43.

[0280] With 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.

[0281] 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.

[0282] According to this configuration, a physical stimulus can be given to the user 5.

[0283] In addition, in the health management system 2, the stimulation device 70 provides a predetermined stimulus to the user 5 by controlling the water volume, water temperature, water flow velocity, or water flow pattern in the bathtub in the bathroom 7, or changes in the water volume, water temperature, water flow velocity, or water flow pattern.

[0284] According to this configuration, the user 5 can be given physical stimulation by the hot and cold water in the bathtub.

[0285] In addition, 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.

[0286] According to this configuration, the shower device 77 can provide physical stimulation to the user 5 .

[0287] 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.

[0288] According to this configuration, visual or auditory stimulation can be given to the user 5.

[0289] 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.

[0290] According to this configuration, the recommended information allows the user 5 to recognize health-related information, and encourages the user 5 to change his or her behavior.

[0291] Second Embodiment Next, a second embodiment of the present disclosure will be described. Patent Document 1 discloses that various sensors are provided in a living space, such as a load sensor attached to a handrail and a sensor for opening and closing a front door, and information indicating the walking speed, grip strength, etc. of a resident is generated as provided information.

[0292] However, although the method disclosed in Patent Document 1 detects daily human movements, the movements performed in daily life are diverse and variations in each movement are likely to occur. When variations occur in each movement, the accuracy of the evaluation based on the detection information may decrease.

[0293] In view of the above-mentioned problems, an object of the second embodiment is to provide a posture evaluation system that can improve the accuracy of evaluation of a user.

[0294] 13 is a schematic diagram showing an example of the overall configuration of a system 1001 according to a second embodiment of the present disclosure (hereinafter referred to as the "second embodiment"), which includes a posture evaluation system 1002, a user terminal 3, and an external device 4.

[0295] The posture evaluation system 1002 evaluates the posture of the user 5 .

[0296] The user 5 tends to perform the same actions (actions for the same purpose) on a daily basis in a wet space such as the toilet space K1. For this reason, the posture evaluation system 1002 evaluates the posture of the user 5 in each wet space.

[0297] As shown in FIG. 13, the posture evaluation system 1002 includes the processing device 10 and a posture detection device 1011 .

[0298] The processing device 10 is an information processing device that evaluates the posture of the user 5. The processing device 10 uses the same terms and symbols as the processing device 10 in the system 1 of the first embodiment, but has different functions from the processing device 10 of the first embodiment. The processing device 10 is, for example, a server device. Details of the evaluation process will be described later.

[0299] The posture detection device 1011 is a device that detects the user 5 .

[0300] As will be described later, the processing device 10 provides the recommendation information to the user terminal 3 .

[0301] 7 , the processing device 10 in the second embodiment mainly includes, as functional units, a recording unit 40, a determination unit 41, an evaluation unit 42, a generation unit 44, a reception unit 45, an estimation unit 43, and a notification unit 46. The functional units of the processing device 10A in the second embodiment are designated by the same terms and symbols as the functional units of the processing device 10 in the first embodiment, but have different functions from those in the first embodiment. However, the functional units of the processing device 10 in the second embodiment may have some of the same functions as those of the processing device 10 in the first embodiment.

[0302] The recording unit 40 aggregates and records various information sent from the orientation detection device 1011. Specifically, the recording unit 40 records the detection results of the orientation sensors 13a, 13b, 13c, and 13d, and the identification results of the identification sensors 14a, 14b, 14c, and 14d. The recording unit 40 may also record the detection results of the entry / exit sensors 15a, 15b, 15c, and 15d.

[0303] 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 the state of the user 5 at what time (state history).

[0304] In this way, the recording unit 40 records and accumulates the detection results of the user 5 in each bathroom space.

[0305] The determination unit 41 performs a determination process based on information obtained from the attitude detection device 1011 .

[0306] 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.

[0307] 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 entry / exit sensors 15a, 15b, 15c, and 15d.

[0308] The determination unit 41 also determines whether the user 5 is cleaning in the wet area. Specifically, the determination unit 41 determines whether the user 5 is cleaning in the toilet area K1 based on the detection result of the posture sensor 13a. The determination unit 41 determines whether the user 5 is cleaning in the bathroom area K2 based on the detection result of the posture sensor 13b. The determination unit 41 determines whether the user 5 is cleaning in the wash area K3 based on the detection result of the posture sensor 13c. The determination unit 41 determines whether the user 5 is cleaning in the kitchen area K4 based on the detection result of the posture sensor 13d.

[0309] Specifically, when the detection result indicates that the user 5 is in a posture that may indicate that the user 5 is cleaning, the determination unit 41 determines that the user 5 is cleaning. Furthermore, when the detection result indicates that the user 5 is not in a posture that may indicate that the user 5 is cleaning, the determination unit 41 determines that the user 5 is not cleaning. The determination unit 41 may make a determination based on a detection result that indicates the state of the user 5, or may make a determination based on a detection result that indicates a change in the state (behavior) of the user 5. The determination result by the determination unit 41 is preferably recorded in the recording unit 40.

[0310] The evaluation unit 42 evaluates the posture of the user 5 based on the detection results. Specifically, the evaluation unit 42 evaluates the posture of the user 5 in each bathroom space based on the detection results of the posture sensors 13a, 13b, 13c, and 13d. The evaluation is, for example, scoring based on predetermined evaluation criteria. In the second embodiment, the evaluation unit 42 assigns a score from 0 to 10 points, as an example.

[0311] In the second embodiment, an evaluation of the posture of the user 5 detected in one wet space is referred to as an "individual evaluation." Furthermore, an evaluation of the posture of the user 5 detected in multiple wet spaces is referred to as an "overall evaluation."

[0312] The evaluation unit 42 individually evaluates the user 5 in the toilet space K1, individually evaluates the user 5 in the bathroom space K2, individually evaluates the user 5 in the washroom space K3, and individually evaluates the user 5 in the kitchen space K4. Then, the evaluation unit 42 comprehensively evaluates the posture of the user 5 in multiple wet spaces.

[0313] In the individual evaluation, the evaluation unit 42 performs evaluation in response to at least one index of the user 5's physical ability, balance ability, body distortion, leg strength, and athletic ability. The user 5's physical ability, balance ability, body distortion, leg strength, and athletic ability are related to the user 5's posture. In other words, the state of the user 5's physical ability, balance ability, body distortion, leg strength, and athletic ability is reflected in the user 5's posture. For this reason, the evaluation unit 42 assigns a score to the user 5's posture in response to the above indexes based on information about the user 5's posture detected by the posture sensor 13a, etc. Specifically, the evaluation unit 42 performs evaluation by comparing the evaluation criteria with the detected information about the user 5's posture.

[0314] Furthermore, when evaluating the posture of the user 5, the evaluation unit 42 may use the state of the user 5 detected by the posture sensor 13a or the like, or may use a change in state. Specifically, for example, the evaluation may be performed on the posture of the user 5 in a certain temporary state, or on a change in posture (behavior) of the user 5. In other words, the evaluation unit 42 may perform the evaluation using one detection result (information on the posture of the user 5) for one use of the wet space, or may perform the evaluation using multiple detection results (information on the posture of the user 5).

[0315] FIG. 14 is a diagram showing an example of an individual evaluation of the toilet space K1. The evaluation unit 42 performs an individual evaluation in the toilet space K1 based on the detection results of the posture sensor 13a. Specifically, the evaluation unit 42 performs an individual evaluation of the seated posture of the user 5 using the toilet 6 indicated by the detection results. FIG. 14 shows the seated posture evaluated as 10 points, 5 points, and 1 point. Note that a higher score indicates a better posture. Specifically, as people's physical abilities decline, for example, they tend to sit in a slouching position. Therefore, the ideal position of the head relative to the waist is defined as angle 81, and the greater the angle from angle 81, the lower the evaluation score. Specifically, the evaluation unit 42 evaluates angle 82 as 5 points and angle 83 as 1 point. The evaluation unit 42 sets multiple evaluation criteria for the slouching state and scores the user 5 by determining which evaluation criteria the user's 5 posture falls under.

[0316] The example in Figure 14 illustrates a case where an individual evaluation is performed using the seated posture of the user 5, but it is not limited to the seated posture as long as any posture of the user 5 using the toilet 6 is shown. For example, the evaluation unit 42 may perform an individual evaluation based on changes in posture before and after sitting. The changes in posture before and after sitting refer to movements related to sitting, and the state of posture change from before sitting to after sitting. Since posture is related to declines in physical ability, etc., individual evaluation can also be performed based on changes in posture before and after sitting.

[0317] FIG. 15 shows an example of an individual evaluation for the bathroom space K2. The evaluation unit 42 performs an individual evaluation for the bathroom space K2 based on the detection results of the posture sensor 13b. Specifically, the evaluation unit 42 performs an individual evaluation for the posture of the user 5 using the bathroom 7 indicated by the detection results when entering the bathtub 7a. FIG. 15 illustrates evaluations of posture when entering the bathtub 7a, with scores of 10, 5, and 1. Note that a higher score indicates a better posture. Specifically, as people's physical abilities decline, they tend to bend forward when entering the bathtub 7a. For this reason, the evaluation unit 42 defines the ideal head position relative to the waist position as angle 91, and the greater the angle from angle 91, the more forward-leaning the user becomes, and the lower the evaluation score. Specifically, the evaluation unit 42 assigns a score of 5 for angle 92 and a score of 1 for angle 93. The evaluation unit 42 provides a plurality of evaluation criteria for this state of forward bending, and assigns a score by determining which evaluation criterion the posture of the user 5 belongs to.

[0318] In the example of FIG. 15 , an individual evaluation is performed using the posture of the user 5 when entering the bathtub 7a. However, the posture of the user 5 when using the bathroom 7 is not limited to the posture when entering the bathtub 7a. For example, the evaluation unit 42 may perform an individual evaluation based on changes in posture when entering the bathtub 7a. The change in posture when entering the bathtub 7a may be a change in the posture of the user 5 entering the bathtub 7a, or a change in the center of gravity of the user 5 entering the bathtub 7a. Note that changes in the center of gravity and posture are not limited to movements when entering the bathtub 7a. The evaluation unit 42 may also perform an individual evaluation based on bathing posture. Because the posture of the user 5 is related to declines in physical ability, etc., an individual evaluation can be performed.

[0319] FIG. 16 is a diagram showing an example of an individual evaluation in the washroom space K3. The evaluation unit 42 performs an individual evaluation in the washroom space K3 based on the detection results of the posture sensor 13c. Specifically, the evaluation unit 42 performs an individual evaluation of the posture of the user 5 when washing their hands using the washbasin 8 indicated by the detection results. FIG. 16 shows evaluations of the posture when washing hands of 10 points, 5 points, and 1 point, respectively. Note that a higher score indicates a better posture. Specifically, as people's physical abilities decline, for example, they tend to bend forward when washing their hands. For this reason, the evaluation unit 42 defines the ideal head position relative to the waist position as angle 101, and the greater the angle from angle 101, the more forward-leaning the user becomes, and the lower the evaluation score becomes. Specifically, the evaluation unit 42 evaluates angle 102 as 5 points and angle 103 as 1 point. The evaluation unit 42 provides a plurality of evaluation criteria for this state of forward bending, and assigns a score by determining which evaluation criterion the posture of the user 5 belongs to.

[0320] 16 illustrates an example in which an individual evaluation is performed using the posture of the user 5 when washing their hands, but it is not limited to the posture when washing their hands as long as the posture of the user 5 when using the washbasin 8 is shown. Since the posture of the user 5 is related to the decline in physical ability, etc., it is possible to perform an individual evaluation.

[0321] FIG. 17 is a diagram showing an example of an individual evaluation in the kitchen space K4. The evaluation unit 42 performs an individual evaluation in the kitchen space K4 based on the detection results of the posture sensor 13d. Specifically, the evaluation unit 42 performs an individual evaluation of the cooking posture of the user 5 using the kitchen 9 indicated by the detection results. FIG. 17 shows evaluations of the cooking posture with a score of 10, 5, and 1, respectively. Note that a higher score indicates a better posture. Specifically, as people's physical abilities decline, they tend to adopt a more hunched posture while cooking. For this reason, the ideal head position relative to the waist position is defined as angle 111, and the greater the angle from angle 111, the lower the evaluation score. Specifically, the evaluation unit 42 evaluates angle 112 as 5 points and angle 113 as 1 point. The evaluation unit 42 provides a plurality of evaluation criteria for this state of forward bending, and assigns a score by determining which evaluation criterion the posture of the user 5 belongs to.

[0322] 17 illustrates an example in which an individual evaluation is performed using the posture of the user 5 when cooking, but the posture is not limited to the posture when cooking as long as it shows the posture of the user 5 when using the kitchen 9. Since the posture of the user 5 is related to the decline in physical ability, etc., it is possible to perform an individual evaluation.

[0323] In the above examples, specific examples corresponding to each of the wet spaces have been described, but the evaluation unit 42 may also evaluate the user 5's leaning forward posture or standing posture. The leaning forward posture is the posture in which the user 5 leans forward when using each of the wet spaces. The standing posture is the posture in which the user 5 stands when using each of the wet spaces.

[0324] In the above example, the evaluation unit 42 evaluates the user 5's posture during a single use in each bathroom space. However, the evaluation unit 42 may also evaluate changes in the user 5's posture over multiple uses of the same bathroom space. Specifically, the evaluation unit 42 may evaluate changes in the user 5's posture using the detection results of the posture sensor 13a, etc., and time information. Changes in the user 5's posture refer to changes in the user 5's posture over time. For example, the evaluation unit 42 may perform individual evaluations using changes in the user 5's sitting posture over multiple uses of the toilet space K1. FIG. 18 is a diagram showing an example of changes in sitting posture over time. FIG. 18 illustrates an example in which the user's leaning angle on the reference date (day 1) is angle 121, but one year later the leaning angle is angle 122, and five years later the leaning angle is angle 123. Individual evaluations are possible by observing changes in posture over time. The evaluation unit 42 may also perform an individual evaluation using changes in the user 5's posture (or center of gravity) when entering the bathtub 7a over multiple uses of the bathroom space K2. FIG. 19 is a diagram showing an example of changes in posture when entering the bathtub 7a over time. FIG. 19 illustrates an example in which the user's bending angle on the reference date (day 1) is angle 131, but one year later the bending angle is angle 132, and five years later the bending angle is angle 133. Individual evaluation is possible by observing changes in posture over time. The evaluation unit 42 may also perform an individual evaluation using changes in the user 5's posture when washing their hands over multiple uses of the washroom space K3. The evaluation unit 42 may also perform an individual evaluation using changes in the user 5's posture when cooking over multiple uses of the kitchen space K4.

[0325] In this way, the evaluation unit 42 performs an individual evaluation of the posture of the user 5 based on the detection results of the posture sensor 13a and the like.

[0326] In the second embodiment, the identification sensors 14a, 14b, 14c, and 14d can identify users 5 in each wet space. Therefore, the evaluation unit 42 individually evaluates the identified users 5. For example, the user 5 using the wet space is identified from among user ID 1, user ID 2, and user ID 3, and the evaluation unit 42 performs evaluation corresponding to the identified user 5.

[0327] Furthermore, in the second embodiment, the determination unit 41 determines whether the user 5 is cleaning. When the user 5 is cleaning, the user 5 may assume a posture different from the posture when using the wet space. For this reason, if the evaluation unit 42 determines that the user 5 is cleaning, it is preferable not to evaluate the posture of the user 5 while cleaning. In other words, the posture of the user 5 while cleaning is excluded from the evaluation as it is not a posture when using the wet space. Furthermore, when the evaluation unit 42 evaluates changes in the user 5's posture over multiple uses of the same wet space using multiple detection results (such as the posture sensor 13a), it is preferable to exclude the detection results from cleaning. In other words, it is preferable for the evaluation unit 42 to perform the evaluation using the detection results of the posture sensor 13a when it is determined that the user 5 is not cleaning.

[0328] The evaluation unit 42 then performs an overall evaluation for each user 5. That is, the evaluation unit 42 performs an overall evaluation by combining the individual evaluations of the user 5. In the second embodiment, an example will be described in which individual evaluations are performed for each bathroom space and an overall evaluation is performed based on each individual evaluation. The evaluation unit 42 may perform an overall evaluation based on multiple detection results from the attitude sensor 13a, the attitude sensor 13b, the attitude sensor 13c, and the attitude sensor 13d, without using the individual evaluations.

[0329] FIG. 20 is a diagram showing an example of the results of the overall evaluation. FIG. 20 shows an example in which the toilet space K1 receives an individual evaluation of 10 points, the bathroom space K2 receives an individual evaluation of 7 points, the washroom space K3 receives an individual evaluation of 8 points, and the kitchen space K4 receives an individual evaluation of 10 points. The evaluation unit 42 performs the overall evaluation by adding up the scores of the individual evaluations. For example, a rank is assigned in stages to the total score of the individual evaluations, and the evaluation unit 42 determines the rank corresponding to the total score as the result of the overall evaluation. In the example of FIG. 20, the total score of the individual evaluations is 35 points, and the overall evaluation is evaluated as A. The overall evaluation may be expressed as a score (for example, a total score).

[0330] In this way, the evaluation unit 42 performs a comprehensive evaluation of the postures of the user 5 in the multiple types of wet areas.

[0331] In the above example, the evaluation unit 42 performs a comprehensive evaluation of four wet spaces: the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. It is particularly preferable to evaluate the wet spaces using the toilet space K1 and the bathroom space K2, where the user 5 is likely to behave in the same posture. In this case, the evaluation unit 42 performs a comprehensive evaluation of the user 5 based on an individual evaluation of the toilet space K1 (which may be the detection result of the posture sensor 13a) and an individual evaluation of the bathroom space K2 (which may be the detection result of the posture sensor 13b). In this case, the posture sensor 13a is the first detection device, and the posture sensor 13b is the second detection device. The evaluation unit 42 may also perform an evaluation using the washroom space K3 and the kitchen space K4. In this case, the posture sensors 13c and 13d are the third detection devices. Then, the evaluation unit 42 performs an overall evaluation of the user 5 using the individual evaluation of the washroom space K3 (which may be the detection result of the posture sensor 13c) and the individual evaluation of the kitchen space K4 (which may be the detection result of the posture sensor 13d).

[0332] The evaluation unit 42 is not limited to the above combination, and may perform the evaluation using the washroom space K3 and the kitchen space K4. In this case, the evaluation unit 42 performs a comprehensive evaluation of the user 5 based on an individual evaluation of the washroom space K3 (which may be the detection result of the posture sensor 13c) and an individual evaluation of the kitchen space K4 (which may be the detection result of the posture sensor 13d). In this case, the posture sensor 13c is the first detection device, and the posture sensor 13d is the second detection device.

[0333] The evaluation results by the evaluation unit 42 are preferably recorded in the recording unit 40 .

[0334] In the above example, the evaluation criteria are set in advance. However, the evaluation unit 42 may set the evaluation criteria according to the state of the user 5. Specifically, the evaluation unit 42 sets the evaluation criteria for the user 5 using detection results from a predetermined period, including the most recent detection result of the user 5. That is, the evaluation unit 42 sets the evaluation criteria based on the detection results of the posture sensor 13a, etc., from the most recent predetermined period. For example, the evaluation unit 42 sets the evaluation criteria by setting the average state of the user 5's posture in the toilet space K1 (or another bathroom space) from the most recent predetermined period as a midpoint score (e.g., 5 points). This allows the user 5 to be evaluated for a change in posture from the past average state. Furthermore, for example, the evaluation unit 42 may set the evaluation criteria by setting the average state of the user 5's posture in the toilet space K1 (or another bathroom space) from the most recent predetermined period as a score higher than the midpoint score (e.g., 8 points). This allows for a detailed evaluation of a change in posture toward a worsening state. Furthermore, for example, the evaluation unit 42 may set the evaluation standard by setting a score (e.g., 3 points) lower than the midpoint score of the evaluation based on the average state of the user 5's posture in the toilet space K1 (or other wet space) within a predetermined period of time in the recent past. This allows for a detailed evaluation of whether the posture is changing for the better.

[0335] Returning to FIG. 7 , the generation unit 44 generates recommendation information using the evaluation results of the evaluation unit 42. The recommendation information is suggested information (recommended information) regarding exercise or posture for the user 5. The recommendation information includes information that improves the health status (exercise or posture) 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.

[0336] Specifically, when the individual evaluation of the user 5's posture relative to the physical ability is lower than a threshold, the generation unit 44 generates recommendation information to improve the physical ability. Note that, when the individual evaluation of the user 5's posture relative to the physical ability is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the physical ability. Note that, when the individual evaluation of the user 5's posture relative to the balance ability is lower than a threshold, the generation unit 44 may generate recommendation information to improve the balance ability. Note that, when the individual evaluation of the user 5's posture relative to the balance ability is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the balance ability. Note that, when the individual evaluation of the user 5's posture relative to the body distortion is lower than a threshold, the generation unit 44 generates recommendation information to improve the body distortion. Note that, when the individual evaluation of the user 5's posture relative to the body distortion is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the body distortion. Furthermore, when the individual evaluation of the user 5's posture relative to leg strength is lower than a threshold, the generation unit 44 generates recommendation information to improve the leg strength. Note that, when the individual evaluation of the user 5's posture relative to leg strength is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the leg strength. Furthermore, when the individual evaluation of the user 5's posture relative to athletic ability is lower than a threshold, the generation unit 44 generates recommendation information to improve the athletic ability. Note that, when the individual evaluation of the user 5's posture relative to athletic ability is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the athletic ability.

[0337] Furthermore, when the overall evaluation of the user 5 is lower than a threshold, the generation unit 44 generates recommendation information to comprehensively improve the health condition (exercise or posture) of the user 5. Note that when the overall evaluation is higher than a threshold, the generation unit 44 may generate recommendation information to further improve the health condition.

[0338] In the above example, the generation unit 44 generates recommendation information using one evaluation result from the evaluation unit 42. However, recommendation information may be generated using multiple evaluation results. Specifically, the evaluation unit 42 may generate recommendation information based on changes in the evaluation results over time. That is, the evaluation unit 42 generates recommendation information for the user 5 using evaluation results from a predetermined period (the most recent past predetermined period) including the latest evaluation result. For example, when the evaluation result has deteriorated, 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 evaluation result.

[0339] Furthermore, the recommendation information may be generated using the detection results of the detection device.

[0340] 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.

[0341] The recommendation information generated by the generating unit 44 is preferably recorded in the recording unit 40 .

[0342] The receiving unit 45 receives data related to the user 5 from the external device 4. In the second 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 on the number of steps taken by the user 5, heart rate information, temperature information, stress information, distance traveled information, calorie consumption information, sleep 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. It is preferable that the external data received by the receiving unit 45 is recorded in the recording unit 40.

[0343] When the reception 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 attitude sensor 13a, etc., but also the external data. For example, the evaluation unit 42 may perform individual evaluations and overall evaluations using the detection results of the attitude sensor 13a, etc., and the external data, or may correct the results of the individual evaluations and overall evaluations evaluated using the detection results of the attitude sensor 13a, etc., using the external data. For example, the evaluation unit 42 may perform individual evaluations and overall evaluations by combining the detection results of the attitude sensor 13a, etc., and external data (e.g., step count information). Furthermore, for example, the evaluation unit 42 may correct the individual evaluations and overall evaluations to lower or raise them using the external data (e.g., step count information).

[0344] The estimation unit 43 estimates the health condition of the user 5 based on the evaluation result of the evaluation unit 42. Specifically, the estimation unit 43 estimates the health condition, such as whether there is a problem, the possibility of injury, the possibility of illness, etc. If there is a possibility of injury or illness, the estimation unit 43 may estimate the specific location and content of the injury, the content of the illness, etc. Furthermore, the estimation unit 43 may estimate the health condition, 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). Note that correspondence information that associates hygiene-related behavior (presence or absence of behavior) with the health condition may be set in advance, and the estimation unit may perform the estimation process by referring to the correspondence information. The estimation result by the estimation unit 43 is preferably recorded in the recording unit 40.

[0345] The notification unit 46 notifies various information. Specifically, the notification unit 46 transmits various information to a predetermined destination to notify the user 5 or the like. For example, the notification unit 46 transmits 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 predetermined people such as the user 5's relatives, for example.

[0346] 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.

[0347] 21 is a diagram showing an example of a screen when a notification is sent to the user terminal 3 by the notification unit 46. As shown in FIG. 21, on a screen 1150, the latest individual evaluation results corresponding to each of the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4 are displayed as displays 1151, 1152, 1153, and 1154. The overall evaluation result is displayed as display 1155. The generated recommendation information is also displayed as display 1156. Note that external data acquired from the external device 4 may also be displayed.

[0348] In this way, the notification unit 46 notifies the user 5 etc. It is preferable that the history of notifications 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.

[0349] By checking the notification, the user 5 or the like can recognize the evaluation result of his / her posture, recommendation information, and the like.

[0350] <Processing Flow> Figure 22 is a flowchart showing an example of the flow of the first processing corresponding to the toilet space K1 of the processing device 10 according to the second embodiment. Each processing step below is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each step below can be changed as appropriate.

[0351] (Step SP1010) 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 SP1010 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP1011.

[0352] (Step SP1011) The recording unit 40 acquires and records the detection result of the attitude sensor 13a and the identification result of the identification sensor 14a. Then, the process proceeds to step SP1012.

[0353] (Step SP1012) The determination unit 41 determines whether the user 5 is cleaning the toilet space K1. If it is determined that the user 5 is cleaning, the process ends. After the process ends, the process is executed again from step SP1010 at a predetermined control cycle. If it is determined that the user 5 is not cleaning, the process proceeds to step SP1013.

[0354] (Step SP1013) 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 SP1011 and is executed again. If the exit of the user 5 is detected, the process proceeds to step SP1014.

[0355] (Step SP1014) The evaluation unit 42 performs an individual evaluation on the user 5 who used the toilet space K1. Then, the processing proceeds to step SP1015.

[0356] (Step SP1015) The notification unit 46 notifies the user 5 etc. of the results of the individual evaluation. Then, the processing ends. After the processing ends, the processing is executed again from step SP1010 at a predetermined control cycle.

[0357] As described above, the first process is executed in correspondence with the toilet space K1.

[0358] 23 is a flowchart showing an example of the flow of the second process corresponding to the bathroom space K2 of the processing device 10 according to the second embodiment. Each process of the following steps is executed repeatedly, for example, at a predetermined control cycle. Note that the order and content of each step can be changed as appropriate.

[0359] (Step SP1020) The determination unit 41 determines whether 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 SP1020 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP1021.

[0360] (Step SP1021) The recording unit 40 acquires and records the detection result of the attitude sensor 13b and the identification result of the identification sensor 14b. Then, the process proceeds to step SP1022.

[0361] (Step SP1022) The determination unit 41 determines whether the user 5 is cleaning the bathroom space K2. If it is determined that cleaning is being performed, the process ends. After completion, the process is executed again from step SP1020 at a predetermined control cycle. If it is determined that cleaning is not being performed, the process proceeds to step SP1023.

[0362] (Step SP1023) 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 SP1021 and is executed again. If the user 5's exit is detected, the process proceeds to step SP1024.

[0363] (Step SP1024) The evaluation unit 42 performs an individual evaluation on the user 5 who used the bathroom space K2. Then, the process proceeds to step SP1025.

[0364] (Step SP1025) The notification unit 46 notifies the user 5 etc. of the results of the individual evaluation. Then, the processing ends. After the processing ends, the processing is executed again from step SP1020 at a predetermined control cycle.

[0365] As described above, the second process is executed in correspondence with the bathroom space K2.

[0366] 24 is a flowchart showing an example of the flow of the third process corresponding to the washroom space K3 of the processing device 10 according to the second embodiment. Each process of the following steps is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each step can be changed as appropriate.

[0367] (Step SP1030) The determination unit 41 determines whether the user 5 has entered the washroom space K3 based on the detection result of the entry / exit sensor 15c. If the entry of the user 5 is not detected, step SP1030 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP1031.

[0368] (Step SP1031) The recording unit 40 acquires and records the detection result of the attitude sensor 13c and the identification result of the identification sensor 14c. Then, the process proceeds to step SP1032.

[0369] (Step SP1032) The determination unit 41 determines whether the user 5 is cleaning the wash space K3. If it is determined that the user 5 is cleaning, the process ends. After the process ends, the process is executed again from step SP1030 at a predetermined control cycle. If it is determined that the user 5 is not cleaning, the process proceeds to step SP1033.

[0370] (Step SP1033) The determination unit 41 determines whether the user 5 has exited the washroom space K3 based on the detection result of the entry / exit sensor 15c. If the user 5's exit is not detected, the process returns to step SP1031 and the process is executed again. If the user 5's exit is detected, the process proceeds to step SP1034.

[0371] (Step SP1034) The evaluation unit 42 performs an individual evaluation on the user 5 who used the washroom space K3. Then, the process proceeds to step SP1035.

[0372] (Step SP1035) The notification unit 46 notifies the user 5 etc. of the result of the individual evaluation. Then, the processing ends. After the processing ends, the processing is executed again from step SP1030 at a predetermined control cycle.

[0373] As described above, the third process is executed in accordance with the washroom space K3.

[0374] 25 is a flowchart showing an example of the flow of the fourth process corresponding to the kitchen space K4 of the processing device 10 according to the second embodiment. Each process of the following steps is repeatedly executed, for example, at a predetermined control cycle. Note that the order and content of each step can be changed as appropriate.

[0375] (Step SP1040) The determination unit 41 determines whether or not the user 5 has entered the kitchen space K4 based on the detection result of the entry / exit sensor 15d. If the entry of the user 5 is not detected, step SP1040 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP1041.

[0376] (Step SP1041) The recording unit 40 acquires and records the detection result of the attitude sensor 13d and the identification result of the identification sensor 14d. Then, the process proceeds to step SP1042.

[0377] (Step SP1042) The determination unit 41 determines whether the user 5 is cleaning the kitchen space K4. If it is determined that cleaning is being performed, the process ends. After completion, the process is executed again from step SP1040 at a predetermined control cycle. If it is determined that cleaning is not being performed, the process proceeds to step SP1043.

[0378] (Step SP1043) The determination unit 41 determines whether the user 5 has exited the kitchen space K4 based on the detection result of the entry / exit sensor 15d. If the exit of the user 5 is not detected, the process returns to step SP1041 and is executed again. If the exit of the user 5 is detected, the process proceeds to step SP1044.

[0379] (Step SP1044) The evaluation unit 42 performs an individual evaluation on the user 5 who used the kitchen space K4. Then, the processing proceeds to step SP1045.

[0380] (Step SP1045) The notification unit 46 notifies the user 5 etc. of the results of the individual evaluation. Then, the processing ends. After the processing ends, the processing is executed again from step SP1040 at a predetermined control cycle.

[0381] As described above, the fourth process is executed in response to the kitchen space K4.

[0382] 26 is a flowchart showing an example of the flow of the overall processing of the processing device 10 according to the second embodiment. The processing of each of the following steps is executed repeatedly, for example, at a predetermined control cycle. Note that the order and content of each of the following steps can be changed as appropriate.

[0383] (Step SP1050) The evaluation unit 42 determines whether or not all individual evaluation results have been obtained for the toilet space K1, bathroom space K2, washroom space K3, and kitchen space K4. If all individual evaluation results have been obtained, the process proceeds to step SP1051. If not all individual evaluation results have been obtained, step SP1050 is executed again. Note that in step SP1050, the evaluation unit 42 may determine whether or not all individual evaluation results have been obtained within a predetermined period of time (e.g., within 24 hours). Also, in step SP1050, the evaluation unit 42 may determine whether or not individual evaluation 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.

[0384] (Step SP1051) The evaluation unit 42 performs a comprehensive evaluation using the individual evaluation results of the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. Then, the process proceeds to step SP1052.

[0385] (Step SP1052) The notification unit 46 notifies the user 5 of the overall evaluation result. Then, the processing ends. After the processing ends, the processing is executed again from step SP1050 at a predetermined control cycle.

[0386] As described above, the evaluations of different types of bathroom spaces are combined to give the user 5 an overall evaluation.

[0387] <Effects> As described above, the posture evaluation system 1002 according to the second embodiment is a posture evaluation system 1002 that evaluates a user 5 in a space having at least one wet area, namely a toilet 6, a bathroom 7, a washbasin 8, and a kitchen 9, and is provided 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 processing device 10 that has an evaluation unit 42 that evaluates the posture of the user 5 based on the detection result by the detection device.

[0388] According to this configuration, since users 5 tend to behave in the same way in wet areas, evaluating the posture of the users 5 in wet areas makes it possible to perform a highly accurate evaluation. In other words, by targeting users 5 who use wet areas in their daily lives as the evaluation subject, there is less variation in usage behavior, making it possible to perform a more accurate evaluation. Furthermore, by evaluating the posture of the users 5, it is possible to effectively support the health of the users 5, since posture is related to the health status of the users 5.

[0389] In addition, the posture evaluation system 1002 further includes an identification device that is installed in a space having a wet area and identifies each of multiple users 5 using the wet area, and the evaluation unit 42 individually evaluates the identified users 5.

[0390] According to this configuration, it is possible to distinguish and evaluate each user 5 who uses the wet area, and therefore it is possible to evaluate and manage each user 5 individually.

[0391] In addition, in the posture evaluation system 1002, a detection device is provided in each of a plurality of spaces having different types of wet areas, an identification device is provided in each of the plurality of spaces, and the evaluation unit 42 comprehensively evaluates the posture of each identified user 5 based on the detection results of each of the plurality of detection devices.

[0392] According to this configuration, the user 5 can be evaluated by taking into account the overall use of multiple bathroom spaces.

[0393] In addition, the posture evaluation system 1002 further includes an entry detection device that detects the entry of a user 5 into the space, and the identification device identifies each user 5 when the entry of the user 5 into the space is detected.

[0394] According to this configuration, each user 5 can be efficiently evaluated by performing identification when entry is detected.

[0395] In addition, in the posture evaluation system 1002, the wet areas are the toilet 6 and the bathroom 7, and the evaluation unit 42 evaluates the posture of the user 5 using the detection results of the detection device of the user 5 using the toilet 6 and the detection results of the detection device of the user 5 using the bathroom 7.

[0396] According to this configuration, since the toilet 6 and the bathroom 7 are wet areas where users 5 are particularly likely to behave in the same way, by using the detection results of users 5 using the toilet 6 and the bathroom 7, it is possible to evaluate the posture of users 5 with high accuracy.

[0397] In addition, in the posture evaluation system 1002, the evaluation unit 42 evaluates the posture of the user 5 using the toilet 6 based on the sitting posture of the user 5 or changes in posture before and after sitting.

[0398] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture specific to the use of the toilet 6.

[0399] In addition, in the posture evaluation system 1002, the evaluation unit 42 evaluates the posture of the user 5 using the bathroom 7 based on changes in the center of gravity or posture of the user 5.

[0400] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture that is specific to the use of the bathroom 7.

[0401] In addition, in the posture evaluation system 1002, the evaluation unit 42 performs evaluation in response to at least one of the user's 5 physical ability, balance ability, body distortion, leg strength, and athletic ability.

[0402] This configuration makes it possible to evaluate the physical condition of the user 5. In other words, it is possible to effectively support the health of the user 5.

[0403] In addition, in the posture evaluation system 1002, the processing device 10 further includes a generation unit 44 that uses the evaluation results of the evaluation unit 42 to generate recommendation information, which is a suggestion regarding exercise or posture for the user 5, and a notification unit 46 that notifies the recommendation information.

[0404] According to this configuration, the user 5 can recognize the evaluation of his / her posture through the recommendation information, and can be encouraged to change his / her behavior.

[0405] In addition, in the posture evaluation system 1002, the processing device 10 further includes a generation unit 44 that uses evaluation results within a predetermined period, including the latest evaluation result from the evaluation unit 42, to generate recommendation information that is a suggestion regarding exercise or posture for the user 5.

[0406] According to this configuration, by using evaluation results within a predetermined period, including the most recent evaluation result, it is possible to generate recommendation information that corresponds to changes in the posture of the user 5. In other words, it is possible to generate recommendation information that is suitable for the user 5.

[0407] In addition, in the posture evaluation system 1002, the evaluation unit 42 sets evaluation criteria for the user 5 using detection results within a predetermined period, including the most recent detection result.

[0408] According to this configuration, it is possible to set evaluation criteria that are suitable for the user 5.

[0409] In addition, the posture evaluation system 1002 is a posture evaluation system 1002 that evaluates a user 5 in a space having a toilet 6, and is equipped with a detection device that is installed in the space having the toilet 6 and detects a user 5 using the toilet 6, and a processing device 10 that has an evaluation unit 42 that evaluates the posture of the user 5 using the toilet 6 based on the detection results by the detection device.

[0410] 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 using the detection results of users 5 using the toilet 6, it is possible to evaluate the posture of users 5 with high accuracy.

[0411] In addition, the posture evaluation system 1002 is a posture evaluation system 1002 that evaluates a user 5 in a space that each has a toilet 6 and a bathroom 7, and is equipped with a first detection device that is provided in the space that has the toilet 6 and detects a user 5 using the toilet 6, a second detection device that is provided in the space that has the bathroom 7 and detects a user 5 using the bathroom 7, and a processing device 10 that has an evaluation unit 42 that evaluates the posture of the user 5 based on the detection results by the first detection device and the second detection device.

[0412] According to this configuration, since the toilet 6 and the bathroom 7 are wet areas where users 5 are particularly likely to behave in the same way, by using the detection results of users 5 using the toilet 6 and the bathroom 7, it is possible to evaluate the posture of users 5 with high accuracy.

[0413] In addition, in the posture evaluation system 1002, the evaluation unit 42 evaluates the posture of the user 5 detected in the space having the bathroom 7 when entering the bathtub 7a or the bathing posture.

[0414] According to this configuration, the evaluation can be carried out efficiently by evaluating the posture that is specific to the use of the bathroom 7.

[0415] In addition, in the posture evaluation system 1002, each of the spaces has a toilet 6, a bathroom 7, and a washbasin 8, and is further equipped with a third detection device that is installed in the space having the washbasin 8 and detects a user 5 using the washbasin 8, and the evaluation unit 42 evaluates the posture of the user 5 based on the detection result by the third detection device.

[0416] According to this configuration, the evaluation can be performed efficiently by using the detection results of the user 5 using the toilet 6, bathroom 7, and washbasin 8.

[0417] In addition, in the posture evaluation system 1002, each of the spaces has a toilet 6, a bathroom 7, and a kitchen 9, and is further equipped with a third detection device that is installed in the space having the kitchen 9 and detects a user 5 using the kitchen 9, and the evaluation unit 42 evaluates the posture of the user 5 based on the detection result by the third detection device.

[0418] According to this configuration, the evaluation can be performed efficiently by using the detection results of the users 5 using the toilet 6, bathroom 7, and kitchen 9.

[0419] In addition, in the posture evaluation system 1002, the evaluation unit 42 evaluates the user 5's slouching posture or standing posture.

[0420] According to this configuration, by evaluating the bending posture and the standing posture, the posture of the user 5 can be effectively evaluated.

[0421] In addition, the posture evaluation system 1002 is a posture evaluation system 1002 that evaluates a user 5 in a space that each has a bathroom 7 and a washbasin 8, and is equipped with a first detection device that is provided in the space that has the bathroom 7 and detects a user 5 using the bathroom 7, a second detection device that is provided in the space that has the washbasin 8 and detects a user 5 using the washbasin 8, and a processing device 10 that has an evaluation unit 42 that evaluates the posture of the user 5 based on the detection results by the first detection device and the second detection device.

[0422] According to this configuration, the bathroom 7 and the washbasin 8 are wet areas where users 5 tend to behave in the same way, so by using the detection results of users 5 using the bathroom 7 and the washbasin 8, it is possible to evaluate the posture of users 5 with high accuracy.

[0423] In addition, in the posture evaluation system 1002, the processing device 10 further includes a recording unit 40 that records the detection results by the detection device in association with time information, and the evaluation unit 42 evaluates changes in the posture of the user 5 based on the detection results by the detection device and the time information.

[0424] According to this configuration, it is possible to perform evaluation taking into account changes in the posture of the user 5.

[0425] In addition, in the posture evaluation system 1002, the processing device 10 further includes a generation unit 44 that uses the detection results of the detection device or the evaluation results of the evaluation unit 42 to generate recommendation information that is a suggestion for the user 5 regarding at least one of nutrition, sleep, and exercise.

[0426] According to this configuration, the recommendation information includes suggestions regarding at least one of nutrition, sleep, and exercise, thereby encouraging behavioral changes in the user 5.

[0427] In addition, in the posture evaluation system 1002, the processing device 10 further includes a receiving unit 45 that receives data related to the user 5 from the external device 4, and the evaluation unit 42 evaluates the posture of the user 5 using the data.

[0428] According to this configuration, the accuracy of the evaluation can be improved by using external data.

[0429] In addition, in the posture evaluation system 1002, the evaluation unit 42 evaluates the posture of the user 5 by assigning a score based on a predetermined evaluation criterion.

[0430] This configuration allows the user 5 to easily recognize the evaluation results.

[0431] In addition, in the posture evaluation system 1002, the processing device 10 further includes a judgment unit 41 that judges whether or not the user 5 is cleaning within the space based on the detection results of the detection device, and if the evaluation unit 42 determines that the user 5 is cleaning, it does not perform an evaluation of the posture of the user 5 while cleaning.

[0432] According to this configuration, since the user 5 can assume various postures while cleaning, by not making an evaluation while cleaning, incorrect evaluations can be prevented.

[0433] In addition, in the posture evaluation system 1002, the processing device 10 further includes a judgment unit 41 that judges whether or not the user 5 is cleaning within the space based on the detection results of the detection device, and the evaluation unit 42 excludes the detection results of the detection device when it is determined that the user 5 is cleaning, and evaluates the posture of the user 5 using the detection results of the detection device when it is determined that the user 5 is not cleaning.

[0434] According to this configuration, since the user 5 can assume various postures while cleaning, erroneous evaluations can be prevented by not making evaluations while cleaning. In other words, it is possible to make evaluations while suppressing unnecessary noise.

[0435] In addition, in the posture evaluation system 1002 , the processing device 10 further includes an estimation unit 43 that estimates the health state of the user 5 based on the evaluation result in the evaluation unit 42 .

[0436] According to this configuration, by estimating the health condition, it becomes possible to more effectively support the health of the user 5.

[0437] Third Embodiment Next, a third embodiment will be described. Patent Document 1 discloses that various sensors are provided in a living space, such as load sensors attached to handrails and entrance door open / close sensors, and information indicating the walking speed, grip strength, etc. of a resident is generated as provided information.

[0438] However, while the method disclosed in Patent Document 1 detects people's daily activities, the activities performed in daily life are diverse and variations in each activity are likely to occur. Variations in each activity may reduce the accuracy of the evaluation based on the detection information. Hygiene habits are particularly important for people's health, and accurate evaluation of hygiene habits is required to support people's health.

[0439] In view of the above-mentioned problems, an object of the third embodiment is to provide a hygiene evaluation system that can more accurately evaluate the hygiene habits of users.

[0440] 27 is a schematic diagram showing an example of the overall configuration of a system 2001 according to a third embodiment of the present disclosure (hereinafter referred to as the "third embodiment"), which includes a hygiene evaluation system 2002, a user terminal 3, and an external device 4.

[0441] The hygiene evaluation system 2002 evaluates the hygiene habits of the user 5. The hygiene habits are actions taken by the user 5 for hygiene purposes. The hygiene habits are also actions taken to keep the user 5 healthy.

[0442] The user 5 tends to perform the same actions (actions for the same purpose) on a daily basis in wet spaces such as the toilet space K1. For this reason, the hygiene evaluation system 2002 evaluates the hygiene habits of the user 5 in each wet space.

[0443] As shown in FIG. 1, the hygiene evaluation system 2002 includes a processing device 10 and a behavior detection device 2011 .

[0444] The processing device 10 is an information processing device that evaluates the hygiene habits of the user 5. The processing device 10 is, for example, a server device. Details of the evaluation process will be described later.

[0445] The behavior detection device 2011 is a device that detects the user 5 .

[0446] The user terminal 3 is an information processing device used by a user 5. As will be described later, recommended information is provided to the user terminal 3 from the processing device 10.

[0447] In the third embodiment, the external device 4 outputs information indicating the user 5's return home (or departure) from the living space (home). For example, if the external device 4 is a wearable device or a mobile device, the user 5's return home can be identified based on the device's location information and the connection status with the home network. The external device 4 is not limited to the above. For example, the external device 4 may be an open / close sensor provided on a door of the living space (home) or a sensor that determines the presence or absence of a person in the living space. The information output by the external device 4 is not limited to the above. For example, the external device 4 may be a sensor provided on a wearable device or in a dining room, and may output information indicating that the user 5 is eating. The external device 4 may also be a sensor provided on a wearable device or in a bedroom, and may output information indicating that the user 5 has gone to bed. The external device 4 can be linked to the hygiene evaluation system 2002 and can communicate with the processing device 10. As will be described later, the external device 4 can provide external data to the processing device 10.

[0448] 7, the processing device 10 in the third embodiment mainly includes, as functional units, a recording unit 40, a determination unit 41, a reception unit 45, an evaluation unit 42, a generation unit 44, an estimation unit 43, and a notification unit 46. The functional units of the processing device 10 in the third embodiment are designated by the same terms and symbols as the functional units of the processing device 10 in the first embodiment, but have different functions from those in the first embodiment. However, the functional units of the processing device 10 in the third embodiment may have some of the same functions as those of the processing device 10 in the first embodiment.

[0449] The recording unit 40 aggregates and records various information sent from the behavior detection device 2011. Specifically, the recording unit 40 records the detection results of each of the behavior sensors 17a, 17b, 17c, and 17d, and the identification results of each of the identification sensors 14a, 14b, 14c, and 14d. The recording unit 40 may also record the detection results of the entry / exit sensors 15a, 15b, 15c, and 15d.

[0450] The recording unit 40 also records each result in association with time information. The time information is the time when each sensor performed detection. By associating the result of each sensor with the time information, it is possible to record and accumulate the state of the user 5 at what time (state history).

[0451] In this way, the recording unit 40 records and accumulates the detection results of the user 5 in each bathroom space.

[0452] The determination unit 41 performs a determination process based on information obtained from the behavior detection device 2011 .

[0453] 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. The determination unit 41 also 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.

[0454] 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 entry / exit sensors 15a, 15b, 15c, and 15d.

[0455] The determination unit 41 also determines whether the user 5 is cleaning in the wet area. Specifically, the determination unit 41 determines whether the user 5 is cleaning in the toilet area K1 based on the detection result of the behavior sensor 17a. The determination unit 41 determines whether the user 5 is cleaning in the bathroom area K2 based on the detection result of the behavior sensor 17b. The determination unit 41 determines whether the user 5 is cleaning in the wash area K3 based on the detection result of the behavior sensor 17c. The determination unit 41 determines whether the user 5 is cleaning in the kitchen area K4 based on the detection result of the behavior sensor 17d.

[0456] Specifically, when the detection result indicates that the user 5 is performing cleaning, the determination unit 41 determines that the user 5 is cleaning. Furthermore, when the detection result indicates that the user 5 is not performing cleaning, the determination unit 41 determines that the user 5 is not cleaning. The determination result by the determination unit 41 is preferably recorded in the recording unit 40.

[0457] The reception unit 45 receives data related to the user 5 from the external device 4. In the third embodiment, the data received from the external device 4 is referred to as "external data." The external data is reference information for evaluating the hygiene habits of the user 5. In the third embodiment, information indicating that the user 5 has returned home is referred to as external data D1. Also in the third embodiment, information indicating that the user 5 has eaten is referred to as external data D2. Also in the third embodiment, information indicating that the user 5 has gone to bed is referred to as external data D3. It is preferable that the external data received by the reception unit 45 is recorded in the recording unit 40.

[0458] The evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of each of the behavior sensors 17a, 17b, 17c, and 17d. Specifically, the evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of each of the behavior sensors 17a, 17b, 17c, and 17d. The evaluation unit 42 evaluates whether the user 5 has performed an action for hygiene habits in the wet space. Note that the evaluation unit 42 may perform the evaluation using one detection result (information on the behavior of the user 5) for one use of the wet space, or may perform the evaluation using multiple detection results (information on the behavior of the user 5). The evaluation unit 42 may also perform the evaluation of the hygiene habits of the user 5 using external data.

[0459] The evaluation unit 42 may perform an individual evaluation for each user 5 detected in one wet space, or may perform a comprehensive evaluation for each user 5 detected in multiple wet spaces.

[0460] The evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of the behavior sensor 17a regarding the behavior of the user 5 when using the toilet 6. Specifically, the evaluation unit 42 evaluates the hygiene habits of the user 5 based on at least one of whether the user 5 washed their hands, the timing of hand washing, the hand washing duration, and the hand washing motion. The hand washing duration refers to the time the user 5 spends washing their hands (the time required for hand washing). For example, if the evaluation unit 42 can determine based on the detection results of the behavior sensor 17a that the user 5 has washed their hands, it evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 can determine based on the detection results of the behavior sensor 17a that the user 5 has washed their hands after using the toilet, it evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 can determine based on the detection results of the behavior sensor 17a that the user 5 has washed their hands for a predetermined period of time or longer, it evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 determines from the detection result of the behavior sensor 17a that the user 5 has washed their hands in a predetermined manner, the evaluation unit 42 evaluates that the user 5 has performed an action for hygienic habits. The predetermined manner includes, for example, washing hands with soap or hand soap. The predetermined manner may also be, for example, the procedure for washing hands. In this way, the evaluation unit 42 evaluates the hygienic habits of the user 5 in the toilet space K1.

[0461] The evaluation unit 42 evaluates the hygiene habits of the user 5 based on the behavior of the user 5 when using the bathroom 7, based on the detection results of the behavior sensor 17b. Specifically, the evaluation unit 42 evaluates the hygiene habits of the user 5 based on at least one of the user's bathing timing, bathing time (time required for bathing), and number of baths. The number of baths refers to the number of times the user 5 bathes in a predetermined period (e.g., one day). For example, if the detection results of the behavior sensor 17b indicate that the user 5 bathed at a predetermined time period (timing), the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene. Note that the predetermined time period is, for example, set in advance as before going to bed. For example, if the detection results of the behavior sensor 17b indicate that the user 5 bathed for a predetermined time period or longer, the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene. For example, if the detection results of the behavior sensor 17b indicate that the user 5 bathed at least once a day, the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene. In this way, the evaluation unit 42 evaluates the hygiene habits of the user 5 in the bathroom space K2.

[0462] The evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of the behavior sensor 17c, with respect to the behavior of the user 5 when using the washbasin 8. Specifically, the evaluation unit 42 evaluates the hygiene habits of the user 5 based on at least one of whether or not the user 5 washed their hands, the timing of hand washing, the duration of hand washing, the hand washing action, whether or not the user brushed their teeth, the timing of tooth brushing, the duration of tooth brushing, and the tooth brushing action. For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17c that the user 5 washed their hands, it evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17c that the user 5 washed their hands during a predetermined time period (timing), it evaluates that the user 5 has performed an action for hygiene habits. The predetermined time period is set in advance as a time period after returning home or before going to bed. For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17c that the user 5 has washed their hands for a predetermined time or longer, it evaluates that the user 5 has performed an action for hygiene habits. For example, if the detection result of the behavior sensor 17c indicates that the user 5 has washed their hands using a predetermined action, the evaluation unit 42 evaluates that the user 5 has performed an action for maintaining hygiene habits. The predetermined action includes, for example, washing their hands with soap or hand soap. The predetermined action may also be, for example, the procedure for washing their hands. For example, if the detection result of the behavior sensor 17c indicates that the user 5 has brushed their teeth, the evaluation unit 42 evaluates that the user 5 has performed an action for maintaining hygiene habits. For example, if the detection result of the behavior sensor 17c indicates that the user 5 has brushed their teeth during a predetermined time period (timing), the evaluation unit 42 evaluates that the user 5 has performed an action for maintaining hygiene habits. The predetermined time period is, for example, a time period before going to bed. For example, if the detection result of the behavior sensor 17c indicates that the user 5 has brushed their teeth for a predetermined period of time or longer, the evaluation unit 42 evaluates that the user 5 has performed an action for maintaining hygiene habits. For example, when it is determined from the detection result of the behavior sensor 17c that the user 5 has brushed their teeth in a predetermined manner, the evaluation unit 42 evaluates that the user 5 has performed a behavior for hygienic habits. The predetermined manner includes, for example, the action of using toothpaste and the procedure for brushing teeth.In this way, the evaluation unit 42 evaluates the hygiene habits of the user 5 in the kitchen space K4.

[0463] The evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of the behavior sensor 17d regarding the behavior of the user 5 when using the kitchen 9. Specifically, the evaluation unit 42 evaluates the hygiene habits of the user 5 based on at least one of whether the user 5 washed their hands, the timing of hand washing, the hand washing time, and the hand washing motion. The hand washing time refers to the time the user 5 spends washing their hands (the time required for hand washing). For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17d that the user 5 has washed their hands, the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17d that the user 5 has washed their hands before cooking, the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 determines based on the detection results of the behavior sensor 17d that the user 5 has washed their hands for a predetermined period of time or more, the evaluation unit 42 evaluates that the user 5 has performed an action for hygiene habits. For example, if the evaluation unit 42 determines from the detection result of the behavior sensor 17d that the user 5 has washed their hands using a predetermined action, the evaluation unit 42 evaluates that the user 5 has performed an action for hygienic habits. The predetermined action includes, for example, washing hands using soap or hand soap. The predetermined action may also be, for example, the procedure for washing hands. In this way, the evaluation unit 42 evaluates the hygienic habits of the user 5 in the kitchen space K4.

[0464] As described above, the hygiene habits of the user 5 can be evaluated in each wet space.

[0465] The user 5 may set hygiene habit standards for the evaluation of hygiene habits, and the evaluation may be performed in accordance with the hygiene habit standards. Specifically, the evaluation unit 42 evaluates the user 5 based on the detection results of the behavior sensor 17a, etc., and predetermined hygiene habit standards. The hygiene habit standards are standard information in which at least one of a situation (scene), timing, and procedure is set for a behavior related to hygiene habits. The situation indicates a situation in which a behavior related to hygiene habits is performed. The timing indicates the timing of performing the behavior related to hygiene habits. The procedure indicates the procedure for performing the behavior related to hygiene habits. For example, if the predetermined behavior related to hygiene habits is hand washing, the hygiene habit standards are set in association with hand washing and the timing of hand washing. In other words, the hygiene habit standards are hygiene behavior scenarios set in advance for hygiene habits.

[0466] FIG. 28 is a diagram showing a specific example of hygiene habit standards. As shown in FIG. 28 , it is preferable to set multiple hygiene habit standards. FIG. 28 shows, as criterion S1, "whether the person washed their hands in the bathroom within two minutes of returning home." FIG. 28 also shows, as criterion S2, "whether the person washed their hands within two minutes before and after eating." FIG. 28 also shows, as criterion S3, "whether the person used soap or hand wash to wash their hands." FIG. 28 also shows, as criterion S4, "whether the person brushed their teeth between after eating and before going to bed." FIG. 28 also shows, as criterion S5, "whether the person brushed their teeth for at least one minute." FIG. 28 also shows, as criterion S6, "whether the person took a bath once a day." FIG. 28 also shows, as criterion S7, "whether the person dried their body with a towel after bathing." Note that standards S1 to S7 are merely examples of hygiene habit standards, and other standards may be set. For example, hygiene habit standards may include "whether the user washed their hands at the sink 8 after using the toilet 6," "whether the user flushed the toilet 6," "whether the user used a washlet in the toilet 6," "whether the user stayed in the bath for a predetermined period of time," "whether the user washed their hands before going out," etc. It is preferable that hygiene habit standards be set for each user 5.

[0467] When the hygiene habit standards of FIG. 28 are set, the evaluation unit 42 evaluates whether the user 5 has engaged in behavior corresponding to each hygiene habit standard. Specifically, the evaluation unit 42 evaluates whether the user 5 has engaged in behavior corresponding to standard S1 by referring to the detection results of the behavior sensor 17c and external data D1. The evaluation unit 42 also evaluates whether the user 5 has engaged in behavior corresponding to standard S2 by referring to the detection results of the behavior sensor 17c (or behavior sensor 17d) and external data D2. The evaluation unit 42 also evaluates whether the user 5 has engaged in behavior corresponding to standard S3 by referring to the detection results of the behavior sensor 17a (which may be the behavior sensor 17c or 17d). The evaluation unit 42 also evaluates whether the user 5 has engaged in behavior corresponding to standard S4 by referring to the detection results of the behavior sensor 17c, external data D2, and external data D3. The evaluation unit 42 also evaluates whether the user 5 has engaged in behavior corresponding to standard S5 by referring to the detection results of the behavior sensor 17c. Furthermore, the evaluation unit 42 refers to the detection results of the behavior sensor 17b and evaluates whether the user 5 has performed a behavior corresponding to criterion S6. Furthermore, the evaluation unit 42 refers to the detection results of the behavior sensor 17b and evaluates whether the user 5 has performed a behavior corresponding to criterion S7. Regarding criterion S7, the bathroom space K2 may include a dressing room, and the action of drying one's body in the dressing room may be detected by the external device 4.

[0468] In this manner, the evaluation unit 42 performs evaluation in accordance with each hygiene habit standard. Note that the above-described example of evaluation for the hygiene habit standard is just one example.

[0469] It is preferable that the hygiene habit standards shown in Fig. 28 can be changed by, for example, the user 5. It is also possible to set a plurality of hygiene habit standards in advance, and the user can select a standard to apply from among them. The hygiene habit standards may also be set arbitrarily by the user. In other words, it is preferable that the hygiene habit standards be customized to suit the user 5.

[0470] The evaluation unit 42 may evaluate the user 5's level of achievement with respect to a plurality of hygiene habit standards. Specifically, the evaluation unit 42 may evaluate the percentage of hygiene habit standards that have been achieved within a predetermined period (e.g., one day) as the achievement level. For example, if the hygiene habit standards shown in FIG. 28 are set and the user 5 performs only actions corresponding to standards S4, S6, and S7 among standards S1 to S7 during one day, the achievement level of the user 5 for that day is evaluated as 43%.

[0471] Regarding the evaluation of hygiene habits, in the above example, the evaluation unit 42 evaluates whether the user 5 has performed hygiene behavior in the bathroom space. However, the evaluation method is not limited to this. For example, the evaluation unit 42 may evaluate changes in the user 5's hygiene habits based on the detection results of the behavior sensor 17a and time information. Specifically, the evaluation unit 42 may evaluate changes in the user 5's hygiene habits over a predetermined period of time. For example, with regard to criterion S6 "Do you take a bath once a day?", if the percentage of days on which the user 5 performed the behavior criterion S6 every seven days over the past month has increased, the evaluation unit 42 evaluates that the user 5's behavior is improving with respect to criterion S6. On the other hand, if the percentage of days on which the user 5 performed the behavior criterion S6 every seven days over the past month has decreased, the evaluation unit 42 evaluates that the user 5's behavior is deteriorating with respect to criterion S6. In this way, the evaluation unit 42 may evaluate changes in the user 5's behavior related to hygiene habits.

[0472] In the third embodiment, the identification sensors 14a, 14b, 14c, and 14d can identify users 5 in each wet space. Therefore, the evaluation unit 42 individually evaluates the identified users 5. For example, among user ID 1, user ID 2, and user ID 3, the user 5 using the wet space is identified, and the evaluation unit 42 performs evaluation corresponding to the identified user 5.

[0473] Furthermore, in the third embodiment, the determination unit 41 determines whether the user 5 is cleaning. When the user 5 is cleaning, this is a different behavior from behavior using the wet space. Therefore, when it is determined that the user 5 is cleaning, the evaluation unit 42 preferably does not evaluate the behavior of the user 5 while cleaning. In other words, the behavior of the user 5 while cleaning is excluded from the evaluation as it is not behavior using the wet space.

[0474] In the above example, the evaluation unit 42 performs evaluations corresponding to four wet spaces, namely, the toilet space K1, the bathroom space K2, the washroom space K3, and the kitchen space K4. In particular, it is preferable to perform evaluations using the toilet space K1, the bathroom space K2, and the washroom space K3, which are areas where the user 5 is likely to engage in hygienic behavior.

[0475] The evaluation results by the evaluation unit 42 are preferably recorded in the recording unit 40 .

[0476] Returning to FIG. 7 , the generation unit 44 generates recommendation information using the evaluation results of the evaluation unit 42. The recommendation information is suggested information (recommended information) regarding hygiene habits for the user 5. The recommendation information includes information that will improve the hygiene status of the user 5. Specifically, the recommendation information includes information that suggests the user 5 to perform hygiene habit-related actions that the evaluation unit 42 has not evaluated as having performed. For example, if the evaluation unit 42 evaluates that the user 5 has not performed criterion S5 in the hygiene habit standards, "Did you brush your teeth for at least one minute?", the generated recommendation information would be something like "Brush your teeth for at least one minute."

[0477] The recommendation information is not limited to the above, as long as it is generated using the evaluation results of the evaluation unit 42 to include information for improving the hygiene habits of the user 5 .

[0478] The recommendation information generated by the generating unit 44 is preferably recorded in the recording unit 40 .

[0479] The estimation unit 43 estimates at least one of the beauty condition and the skin condition of the user 5 based on the evaluation results of the evaluation unit 42. The beauty condition refers to a condition related to appearance (outer appearance). The skin condition refers to the oil and moisture state of the skin. The estimation unit 43 estimates the beauty condition and the skin condition based on the hygiene habit behaviors that the user 5 is able to perform and the hygiene habit behaviors that the user 5 is not able to perform. Because beauty and skin condition are related to hygiene habits, the estimation unit 43 can estimate the beauty and skin condition based on the evaluation results of the evaluation unit 42. Note that correspondence information that associates hygiene habit behaviors (presence or absence of behavior) with the beauty condition and the skin condition may be set in advance, and the estimation unit 43 may perform the estimation process by referring to the correspondence information.

[0480] The estimation unit 43 also estimates the health state of the user 5 based on the evaluation result of the evaluation unit 42. Specifically, the estimation unit 43 estimates whether there is a problem with the health state, the possibility of illness, etc. If there is a possibility of illness, the specific nature of the illness (lower back pain, tooth decay, etc.) may be estimated. The estimation unit 43 may also estimate a stress state (e.g., excessive stress) or a sleep state (e.g., lack of sleep) as the health state. Note that correspondence information that associates hygiene habit-related behavior (presence or absence of behavior) with the health state may be set in advance, and the estimation unit 43 may perform the estimation process by referring to the correspondence information.

[0481] The estimation result by the estimation unit 43 is preferably recorded in the recording unit 40 .

[0482] The notification unit 46 notifies various information. Specifically, the notification unit 46 transmits various information to a predetermined destination to notify the user 5 or the like. For example, the notification unit 46 transmits 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 predetermined people such as the user 5's relatives, for example.

[0483] 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.

[0484] Fig. 29 is a diagram showing an example of a screen when a notification is sent to the user terminal 3 by the notification unit 46. As shown in Fig. 29, the results of the evaluation unit 42 are displayed as display 2151 on screen 2150. Display 2151 shows the evaluation results of whether or not each hygiene habit standard in Fig. 28 has been implemented. The generated recommendation information is displayed as display 2152. The estimation results estimated by the estimation unit 43 may also be displayed. External data acquired from the external device 4 may also be displayed.

[0485] In this way, the notification unit 46 notifies the user 5 etc. It is preferable that the history of notifications 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.

[0486] By checking the notification, the user 5 or the like can recognize the evaluation results for his / her own hygiene habits, recommendation information, etc. For example, a parent can set hygiene habit standards for the child as the user 5 and check the evaluation of the child's hygiene habits. In other words, the hygiene evaluation system 2002 can be used for educating (e.g., disciplining) the child.

[0487] <Processing Flow> Figure 30 is a flowchart showing an example of the processing flow corresponding to the toilet space K1 of the processing device 10 according to the third embodiment. 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.

[0488] (Step SP2010) 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 SP2010 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP2011.

[0489] (Step SP2011) The recording unit 40 acquires and records the detection result of the behavior sensor 17a and the identification result of the identification sensor 14a. Then, the process proceeds to step SP2012.

[0490] (Step SP2012) The determination unit 41 determines whether the user 5 is cleaning the toilet space K1. If it is determined that the user 5 is cleaning, the process ends. After the process ends, the process is executed again from step SP2010 at a predetermined control cycle. If it is determined that the user 5 is not cleaning, the process proceeds to step SP2013.

[0491] (Step SP2013) 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 SP2011 and is executed again. If the exit of the user 5 is detected, the process proceeds to step SP2014.

[0492] (Step SP2014) The evaluation unit 42 evaluates the user 5 who used the toilet space K1. Then, the process proceeds to step SP2015.

[0493] (Step SP2015) The notification unit 46 notifies the user 5 etc. of the evaluation result. Then, the processing ends. After the processing ends, the processing is executed again from step SP2010 at a predetermined control cycle.

[0494] As described above, the process is executed for the toilet space K1. Note that, if the evaluation in step SP2014 requires external data, the reception unit 45 may receive the external data before step SP2014.

[0495] 31 is a flowchart showing an example of the processing flow for the bathroom space K2 by the processing device 10 according to the third embodiment. The following steps are executed repeatedly, for example, at a predetermined control cycle. The order and content of the following steps can be changed as needed.

[0496] (Step SP2020) The determination unit 41 determines whether 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 SP2020 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP2021.

[0497] (Step SP2021) The recording unit 40 acquires and records the detection result of the behavior sensor 17b and the identification result of the identification sensor 14b. Then, the process proceeds to step SP2022.

[0498] (Step SP2022) The determination unit 41 determines whether the user 5 is cleaning the bathroom space K2. If it is determined that cleaning is being performed, the process ends. After completion, the process is executed again from step SP2020 at a predetermined control cycle. If it is determined that cleaning is not being performed, the process proceeds to step SP2023.

[0499] (Step SP2023) 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 SP2021 and is executed again. If the user 5's exit is detected, the process proceeds to step SP2024.

[0500] (Step SP2024) The evaluation unit 42 evaluates the user 5 who used the bathroom space K2. Then, the process proceeds to step SP2025.

[0501] (Step SP2025) The notification unit 46 notifies the user 5 etc. of the evaluation result. Then, the processing ends. After the processing ends, the processing is executed again from step SP2020 at a predetermined control cycle.

[0502] As described above, processing is executed for the bathroom space K2. Note that, if the evaluation in step SP2024 requires external data, the reception unit 45 may receive the external data before step SP2024.

[0503] 32 is a flowchart showing an example of the processing flow corresponding to the washroom space K3 of the processing device 10 according to the third embodiment. 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.

[0504] (Step SP2030) The determination unit 41 determines whether the user 5 has entered the washroom space K3 based on the detection result of the entry / exit sensor 15c. If the entry of the user 5 is not detected, step SP2030 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP2031.

[0505] (Step SP2031) The recording unit 40 acquires and records the detection result of the behavior sensor 17c and the identification result of the identification sensor 14c. Then, the process proceeds to step SP2032.

[0506] (Step SP2032) The determination unit 41 determines whether the user 5 is cleaning the wash space K3. If it is determined that cleaning is being performed, the process ends. After the process ends, the process is executed again from step SP2030 at a predetermined control cycle. If it is determined that cleaning is not being performed, the process proceeds to step SP2033.

[0507] (Step SP2033) The determination unit 41 determines whether the user 5 has exited the washroom space K3 based on the detection result of the entry / exit sensor 15c. If the user 5's exit is not detected, the process returns to step SP2031 and the process is executed again. If the user 5's exit is detected, the process proceeds to step SP2034.

[0508] (Step SP2034) The evaluation unit 42 evaluates the user 5 who used the washroom space K3. Then, the process proceeds to step SP2035.

[0509] (Step SP2035) The notification unit 46 notifies the user 5 etc. of the evaluation result. Then, the processing ends. After the processing ends, the processing is executed again from step SP2030 at a predetermined control cycle.

[0510] As described above, processing is executed for the washroom space K3. Note that, if the evaluation in step SP2034 requires external data, the reception unit 45 may receive the external data before step SP2034.

[0511] 33 is a flowchart showing an example of the flow of processing performed by the processing device 10 according to the third embodiment in the kitchen space K4. 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.

[0512] (Step SP2040) The determination unit 41 determines whether or not the user 5 has entered the kitchen space K4 based on the detection result of the entry / exit sensor 15d. If the entry of the user 5 is not detected, step SP2040 is executed again. If the entry of the user 5 is detected, the process proceeds to step SP2041.

[0513] (Step SP2041) The recording unit 40 acquires and records the detection result of the behavior sensor 17d and the identification result of the identification sensor 14d. Then, the process proceeds to step SP2042.

[0514] (Step SP2042) The determination unit 41 determines whether the user 5 is cleaning the kitchen space K4. If it is determined that cleaning is being performed, the process ends. After completion, the process is executed again from step SP2040 at a predetermined control cycle. If it is determined that cleaning is not being performed, the process proceeds to step SP2043.

[0515] (Step SP2043) The determination unit 41 determines whether the user 5 has exited the kitchen space K4 based on the detection result of the entry / exit sensor 15d. If the exit of the user 5 is not detected, the process returns to step SP2041 and is executed again. If the exit of the user 5 is detected, the process proceeds to step SP2044.

[0516] (Step SP2044) The evaluation unit 42 evaluates the user 5 who used the kitchen space K4. Then, the processing proceeds to step SP2045.

[0517] (Step SP2045) The notification unit 46 notifies the user 5 etc. of the evaluation result. Then, the processing ends. After the processing ends, the processing is executed again from step SP2040 at a predetermined control cycle.

[0518] As described above, processing is executed for the kitchen space K4. Note that, if the evaluation in step SP2044 requires external data, the reception unit 45 may receive the external data before step SP2044.

[0519] Fig. 34 is a flowchart showing an example of the flow of processing corresponding to a plurality of wet spaces by the processing device 10 according to the third embodiment. Note that Fig. 34 illustrates an example in which the evaluation unit 42 determines whether the user 5 "washed his / her hands at the sink 8 after using the toilet 6." Each of the following steps of processing is executed repeatedly, for example, at a predetermined control cycle. Note that in each process, processes similar to those in Figs. 30 and 32 are denoted by the same reference numerals and descriptions thereof are omitted. The order and content of each of the following steps can be changed as appropriate.

[0520] (Steps SP2010 to SP2013) As in Fig. 30, the entry of the user 5 into the toilet space K1 is detected, and the detection results of the behavior sensor 17a and the identification results of the identification sensor 14a are recorded. When the user 5 exits the toilet space K1, the process proceeds to step SP2030. Note that, as in Fig. 30, when the user 5 cleans the toilet space K1, the process ends.

[0521] (Steps SP2030 to SP2033) As in Fig. 32, the entry of the user 5 into the washroom space K3 is detected, and the detection results of the behavior sensor 17c and the identification results of the identification sensor 14c, etc. are recorded. When the user 5 exits the washroom space K3, the process proceeds to step SP2051. Note that, as in Fig. 32, when the user 5 has cleaned the washroom space K3, the process ends.

[0522] (Step SP2051) The evaluation unit 42 evaluates the user 5 who used the toilet space K1 and the washroom space K3. Specifically, based on the detection results of the behavior sensor 17a and the detection results of the behavior sensor 17c, it evaluates whether the user 5 washed their hands at the sink 8 after using the toilet 6. If the detection result of the behavior sensor 17a indicates that the user 5 used the toilet 6 and the detection result of the behavior sensor 17c indicates that the user 5 washed their hands, the evaluation unit 42 evaluates that the user 5 washed their hands at the sink 8 after using the toilet 6. Then, the processing proceeds to step SP2052.

[0523] (Step SP2052) The notification unit 46 notifies the user 5 etc. of the evaluation result. Then, the processing ends. After the processing ends, the processing is executed again at a predetermined control cycle.

[0524] As described above, evaluation is performed by combining different types of wet areas. Note that, in the example of Fig. 34, the case of determining "whether the user washed their hands at the sink 8 after using the toilet 6" is described as an example, but the evaluation unit 42 may perform evaluation for other actions. Also, in the example of Fig. 34, the case of combining the toilet space K1 and the washroom space K3 is described as an example, but the combination of wet areas is not limited to the above.

[0525] <Action and effect>

[0526] As described above, the hygiene evaluation system 2002 of the third embodiment is a hygiene evaluation system 2002 that evaluates a user 5 in a space having at least one wet area, such as a toilet 6, a washbasin 8, a bathroom 7, and a kitchen 9, and is equipped with a detection device that is installed in the space having the wet area and detects a user 5 using the wet area, and a processing device 10 that has an evaluation unit 42 that evaluates the hygiene habits of the user 5 based on the detection results by the detection device.

[0527] According to this configuration, since users 5 tend to behave in the same way (with little variation) in wet spaces, evaluating the hygiene habits of users 5 in wet spaces makes it possible to perform a highly accurate evaluation. Furthermore, by evaluating the hygiene habits of users 5, it becomes possible to effectively support the health of users 5, since hygiene habits are related to the health status, etc., of users 5. For example, the hygiene evaluation system 2002 can be used for educating children (e.g., for discipline).

[0528] In addition, the hygiene evaluation system 2002 further includes an identification device that is installed in a space having a wet area and identifies each of multiple users 5 who use the wet area, and the evaluation unit 42 individually evaluates the identified users 5.

[0529] According to this configuration, it is possible to distinguish and evaluate each user 5 who uses the wet area, and therefore it is possible to evaluate and manage each user 5 individually.

[0530] In addition, in the hygiene evaluation system 2002, the processing device 10 further includes an estimation unit 43 that estimates at least one of the beauty condition and skin condition of the user 5 based on the evaluation results of the user's 5 hygiene habits by the evaluation unit 42.

[0531] According to this configuration, beauty and skin condition can be estimated based on the evaluation results of hygiene habits, thereby making it possible to more effectively support the health of the user 5.

[0532] In addition, in the hygiene evaluation system 2002, the processing device 10 further includes an estimation unit 43 that estimates the health state of the user 5 based on the evaluation result of the hygiene habits of the user 5 by the evaluation unit 42.

[0533] According to this configuration, the health condition of the user 5 can be estimated based on the evaluation result of the hygiene habits, thereby making it possible to more effectively support the health of the user 5.

[0534] In addition, in the hygiene evaluation system 2002, the processing device 10 further includes a recording unit 40 that records the detection results of the detection device in association with time information, and the evaluation unit 42 evaluates changes in the hygiene habits of the user 5 based on the detection results of the detection device and the time information.

[0535] This configuration makes it possible to perform evaluation taking into account changes in the hygiene habits of the user 5.

[0536] In addition, in the hygiene evaluation system 2002, a detection device is installed in each of multiple spaces having different types of wet areas, and the evaluation unit 42 evaluates the hygiene habits of the user 5 based on the detection results of each of the multiple detection devices.

[0537] According to this configuration, the user 5 can be evaluated by taking into account the overall use of multiple bathroom spaces.

[0538] In addition, in the hygiene evaluation system 2002, if the space has a toilet 6, the evaluation unit 42 evaluates the user 5 based on at least one of the following when using the toilet 6: whether or not the user washed their hands, the timing of the hand washing, the time it took to wash their hands, and the hand washing action.

[0539] This configuration makes it possible to effectively evaluate the hygiene habits of users 5 who use the toilet 6.

[0540] In addition, in the hygiene evaluation system 2002, if the space has a washbasin 8, the evaluation unit 42 evaluates the user 5 based on at least one of the following when using the washbasin 8: whether or not the user washes their hands, the timing of hand washing, the time it takes to wash their hands, the hand washing action, whether or not the user brushes their teeth, the timing of tooth brushing, the time it takes to brush their teeth, and the action of tooth brushing.

[0541] This configuration makes it possible to effectively evaluate the hygiene habits of users 5 who use the washroom 8.

[0542] In addition, in the hygiene evaluation system 2002, if the space has a bathroom 7, the evaluation unit 42 evaluates the user 5 based on at least one of the bathing timing, bathing time, and number of baths when using the bathroom 7.

[0543] This configuration makes it possible to effectively evaluate the hygiene habits of users 5 who use the bathroom 7.

[0544] In addition, in the hygiene evaluation system 2002, the evaluation unit 42 evaluates the user 5 based on the detection results from the detection device and predetermined hygiene habit standards.

[0545] According to this configuration, it is possible to evaluate desired hygiene habits by using the hygiene habit standard.

[0546] In addition, in the hygiene evaluation system 2002, the hygiene habit standard is standard information in which at least one of the situation, timing, and procedure is set for an action related to hygiene habits.

[0547] This configuration allows for appropriate setting of hygiene practice standards.

[0548] In addition, in the hygiene evaluation system 2002, the evaluation unit 42 evaluates the degree of achievement of the user 5 with respect to a plurality of hygiene habit standards.

[0549] This configuration allows for a comprehensive assessment of multiple hygiene standards.

[0550] In addition, in the hygiene evaluation system 2002, the processing device 10 further includes a generation unit 44 that uses the evaluation results of the evaluation unit 42 to generate recommendation information, which is a suggestion regarding hygiene habits for the user 5, and a notification unit 46 that notifies the user of the recommendation information.

[0551] According to this configuration, the recommendation information allows the user 5 to recognize the evaluation of his or her hygiene habits, and encourages the user 5 to change his or her behavior.

[0552] In addition, in the hygiene evaluation system 2002, the processing device 10 further includes a reception unit 45 that receives data related to the user 5 from the external device 4, and the evaluation unit 42 uses the data to evaluate the hygiene habits of the user 5.

[0553] According to this configuration, the accuracy of the evaluation can be improved by using external data.

[0554] In addition, in the hygiene evaluation system 2002, the data is information indicating that the user 5 has returned home.

[0555] This configuration makes it possible to evaluate hygiene habits related to returning home.

[0556] <Modifications> The present invention is not limited to the above-described embodiments. In other words, designs obtained 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.

[0557] For example, in the first 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.

[0558] Furthermore, in the first embodiment, 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. Also, 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.

[0559] In the first embodiment, 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 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.

[0560] Furthermore, in the first embodiment, health management may include detecting the user 5's entry and exit into the bathroom space using entry and exit sensors 15a, 15b, 15c, and 15d. Health management may also include providing a predetermined stimulus to the user 5 based on the results of the entry and exit detection. For example, if entry and exit sensor 15b installed in bathroom space K2 has not detected the user 5's entry within 24 hours, the user 5 may be notified of recommendation information encouraging them to take a bath.

[0561] Furthermore, in the first 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, the lumbar bath section 717 may massage the user 5's lower back based on the detection result that the excretion sensor 61 has detected only urine but not feces from the user 5 within 24 hours. As another example, the biosensor 12 may detect the user 5's blood pressure, and the bathtub control section 711 may control the water temperature in the bathtub 7a to be lower based on the detection result that the blood pressure is higher than a specific value.

[0562] Furthermore, in the first embodiment, 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 in the previous 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 the previous 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'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.

[0563] Furthermore, in the first, second, and third embodiments, 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.

[0564] Furthermore, in the first, second, and third embodiments, 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.

[0565] Furthermore, in the first and second embodiments, the external device 4 is described as a wearable terminal, a mobile terminal, or the like, 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.

[0566] Furthermore, in the first, second, and third embodiments, 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.

[0567] In the first embodiment, the recording unit 40 acquires and records the detection results of the biosensor 12 a and the identification results of the identification sensor 14 a, but is not limited to this. For example, the recording of the detection results of a specific user 5 may be omitted.

[0568] Furthermore, in the first, second, and third embodiments, the notification unit 46 notifies the user terminal 3 of information, but the notification may be made by outputting information to a device installed in the bathroom. Specifically, in the second embodiment, the bathing posture of the user 5 in the bathtub 7a is evaluated, and if the score is low, the posture puts strain on the lower back, and a message may be displayed on a monitor or the like installed in the bathroom 7 indicating that the user should change their bathing posture. Furthermore, in the third embodiment, a monitor installed in the sink 8 may display information recommending that the user brush their teeth for at least one minute, and a speaker installed in the sink 8 may output a voice message recommending that the user brush their teeth for at least one minute.

[0569] In the second embodiment, the recording unit 40 acquires and records the detection results of the orientation sensors 13 a, etc. and the identification results of the identification sensors 14 a, etc. However, this is not limiting. For example, the recording unit 40 may omit recording the detection results of the orientation sensors 13 a, etc. and the identification results of the identification sensors 14 a, etc. when the determination unit 41 determines that cleaning is being performed.

[0570] In the third embodiment, the recording unit 40 acquires and records the detection results of the behavior sensors 17a, etc. and the identification results of the identification sensors 14a, etc. However, this is not limited to this. For example, the recording unit 40 may omit recording the detection results of the behavior sensors 17a, etc. and the identification results of the identification sensors 14a, etc. when the determination unit 41 determines that cleaning is being performed.

[0571] Furthermore, in the third embodiment, the evaluation unit 42 evaluates whether or not the user 5 has performed an action for promoting hygienic habits in the wet space as an example. However, the evaluation unit 42 may evaluate the degree to which the user 5 has performed an action for promoting hygienic habits in the wet space. For example, when evaluating the time for hand washing (a predetermined time or more), the evaluation unit 42 may give a score of 10 (full marks) if the user 5 has washed their hands for the predetermined time or more, and a score of 5 if the user 5 has washed their hands for half the predetermined time. In this way, the evaluation unit 42 may perform the evaluation by assigning a score.

[0572] 2: Health management system 5: User 6: Toilet (wet area) 7: Bathroom (wet area) 8: Washbasin (wet area) 9: Kitchen (wet area) 10: Processing device 12a, 12b, 12c, 12d: Biometric sensor (detection device) 13a, 13b, 13c, 13d: Posture sensor (detection device) 61: Excretion sensor 61 (detection device) 70: Stimulation device K1: Toilet space (space) K2: Bathroom space (space) K3: Wash space (space) K4: Kitchen space (space)

Claims

1. A health management system that manages the health of users in a space that has wet areas, such as a toilet, washbasin, kitchen, or bathroom, comprising: a detection device that is provided in the space that has the wet areas and detects the users using the wet areas; and a stimulation device that is provided in the space that has the bathroom and applies a predetermined stimulation to the users based on the detection results of the detection device.

2. The health management system of claim 1, further comprising a processing device having an estimation unit that estimates the health condition of the user, and the stimulation device applies a predetermined stimulation to the user based on the estimated health condition of the user.

3. The health management system of claim 2, further comprising an identification device provided in the space for identifying the plurality of users using the wet area, wherein the stimulation device applies a predetermined stimulation to the identified users based on their health conditions.

4. A health management system that manages the health of users in a space that has wet areas including a toilet and a bathroom, comprising: a detection device that is provided in the space that has the toilet and detects the user using the toilet; and a stimulation device that is provided in the space that has the bathroom and gives the user a predetermined stimulation based on the detection result by the detection device.

5. The health management system according to claim 4, wherein the detection device detects the excretory state of the user.

6. The health management system according to claim 4, wherein the detection device detects biometric data of the user.

7. The health management system according to claim 1, wherein at least one of the detection devices is provided in the space having the wet area, including the toilet, the washroom, or the kitchen.

8. The health management system according to claim 3, wherein 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 plurality of detection devices.

9. The health management system of claim 3, wherein at least one detection device is provided in the space having the toilet and at least one 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 plurality of detection devices.

10. The health management system of claim 2, wherein 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.

11. The health management system according to any one of claims 1 to 10, wherein the stimulating device applies a physical stimulus to the body of the user as the predetermined stimulus.

12. The health management system of claim 11, wherein the stimulation device provides the predetermined stimulation to the user by controlling the amount of water, water temperature, water flow velocity, or water flow pattern in the bathtub in the bathroom, or by controlling changes in the amount of water, water temperature, water flow velocity, or water flow pattern.

13. The health management system according to claim 11, wherein the stimulation device applies the predetermined stimulation to the user by controlling the form of water discharge from a shower device installed in the bathroom.

14. A health management system according to any one of claims 1 to 9, wherein the stimulation device provides the predetermined stimulus to the user by controlling a sound device or lighting installed in the bathroom.

15. A health management system as described in any one of claims 2 and 8 to 10, wherein 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 user of the recommended information.

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