Health care device, health care management method and program

Abstract

To solve the problem that a user may change in health state when changing his or her living environment.SOLUTION: A health care device comprises acquisition means which acquires information on the living environment of a user and the life logs of the user before and after change in living environment, and estimation means which uses the information on the living environment and the life logs to estimate the health state of the user after the change in living environment. The health care device may comprise determination means which determines actions corresponding to the health state after the change in living environment as actions to be recommended to the user. The device is usable to, for example, support user's decision making.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a health management device, a health management method, and a program. [Background technology]

[0002] A user's living environment may change due to a disaster or moving.

[0003] Patent Document 1 describes a health information processing device that analyzes biological information, behavioral information, and genome information to evaluate a user's health information. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2017-059261 Summary of the Invention [Problem to be solved by the invention]

[0005] When a user's living environment changes, the user's health condition may change.

[0006] One of the purposes of the present disclosure is to provide a health management device or the like that enables a user to promote their health after a change in their living environment. [Means for solving the problem]

[0007] A health management device in one aspect of the present disclosure includes an acquisition means for acquiring information about a user's living environment and the user's life log before and after a change in the living environment, and an estimation means for estimating the user's health condition after the change in the living environment using the information about the living environment and the life log.

[0008] A health management method in one aspect of the present disclosure obtains information about a user's living environment and the user's life log before and after a change in living environment, and uses the information about the living environment and the life log to estimate the user's health condition after the change in living environment.

[0009] A program in one aspect of the present disclosure causes a computer to perform a process of acquiring information about a user's living environment and the user's life log before and after a change in the living environment, and using the information about the living environment and the life log to estimate the user's health condition after the change in the living environment.

[0010] Each program may be stored in a non-transitory computer-readable recording medium. [Effects of the Invention]

[0011] One example of an effect of the present disclosure is to provide a health management device or the like that enables a user to improve their health after a change in their living environment. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram showing an example of the configuration of a health management system including a health management device. [Figure 2] FIG. 2 is a block diagram showing an example of the configuration of a health management device. [Figure 3] FIG. 10 is a block diagram showing another example of the configuration of the health management device. [Figure 4] 10 is a flowchart showing the operation of the health management device. [Figure 5] FIG. 10 is a block diagram showing another example of the configuration of the health management device. [Figure 6] FIG. 2 illustrates an example of a hardware configuration of a health management apparatus. DETAILED DESCRIPTION OF THE INVENTION

[0013] Embodiments of the present disclosure will be described in detail with reference to the drawings.

[0014] [Embodiment] An application example of the health management device 10 will be described. When a user's living environment changes, the user's health condition may also change. Therefore, the health management device 10 estimates the user's health condition after the change in living environment using information about the living environment before and after the change and a life log. Here, the user is a person who uses the health management device 10 and whose health condition is estimated by the health management device 10. In other words, the user is a person whose health can be improved by the health management device 10. There may be one user or multiple users. Multiple users may be, for example, family members living in the same residence.

[0015] An example of a change in living environment is a change from a user's normal residence to temporary housing due to a disaster. When a disaster occurs, the user may move into temporary housing. At this time, a change in living environment occurs when the user moves from their normal residence to the temporary housing. The user's normal residence is the residence before the change in living environment, and the temporary housing is the residence after the change in living environment. Here, the temporary housing may be a hotel or other accommodation facility provided for the user. The temporary housing may have a different floor plan and facilities than the user's normal residence. The surrounding facilities and terrain may differ between the temporary housing and the user's normal residence. Furthermore, the community the user participates in may change between the temporary housing and the user's normal residence. For example, a disaster may change the user's lifestyle. Therefore, the user's health condition may change before and after the change in living environment. Therefore, health management device 10 enables the user's health to be promoted after the change in living environment.

[0016] Another example of a change in the living environment is a change in the living environment due to a disaster to a user's residence. When a disaster occurs, the user's residence may be damaged. However, depending on the extent of the damage, the user may continue to live in the damaged residence. The normal residence is the residence before the change in the living environment, and the damaged residence is the residence after the change in the living environment. In this case, for example, the disaster may affect the equipment of the residence and surrounding facilities. In other words, the living environment may change due to the disaster. Furthermore, for example, the user's lifestyle habits may change due to the disaster. Therefore, the user's health condition may change before and after the change in the living environment. Therefore, the health management device 10 enables the user's health to be promoted after the change in the living environment.

[0017] Another example of a change in living environment is when a user moves. The residence before the move is the residence before the change in living environment, and the residence after the move is the residence after the change in living environment. When a user moves, for example, the layout, equipment, surrounding facilities, location, etc. of the residence may change. Therefore, the user's health condition may change before and after the change in living environment. Therefore, health management device 10 enables the user to promote health after the change in living environment.

[0018] Examples of changes in the living environment are not limited to these. The change in the living environment may also be a change in the user's work environment. For example, a user who mainly comes to the office may change to a work schedule that frequently involves working from home. Also, a user who previously worked from home may change to a work schedule that involves frequently coming to the office. In this case, for example, the type and amount of equipment in the user's home, and the user's lifestyle habits may change. Therefore, the user's health condition may change before and after the change in the living environment. Therefore, the health management device 10 makes it possible to promote the user's health after the change in the living environment.

[0019] The configuration of a health management system including a health management device 10 will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of the configuration of a health management system including a health management device 10. Referring to Fig. 1, the health management device 10 is connected to a residential sensor 91, a communication terminal 92, and a database 93 via a wired or wireless network.

[0020] The residential sensor 91 is a sensor installed in a residence. The residential sensor 91 includes sensors installed inside the residence and sensors installed outside the residence. The residential sensor 91 also includes sensors included in home appliances used in the residence.

[0021] A specific example of the residence sensor 91 will be described. An example of the residence sensor 91 is an image sensor of a camera installed in a residence. A user may install a camera inside the residence. Alternatively, a user may install a camera outside the residence. Therefore, when a user installs a camera in the residence, the image sensor of the camera is included in the residence sensor 91. In FIG. 1, an image sensor of a camera installed inside the residence is shown as an example of the residence sensor 91. The number of cameras installed in a residence is not limited to one. A user may install multiple cameras. In this case, the health management device 10 may be connected to the multiple cameras via a wired or wireless network.

[0022] Other examples of the residence sensor 91 are a temperature sensor and a humidity sensor installed in a residence. The temperature sensor is installed, for example, inside the residence. The temperature sensor can measure the temperature inside the residence. The humidity sensor is installed, for example, inside the residence. The humidity sensor can measure the humidity inside the residence. The temperature sensor and the humidity sensor may be installed in, for example, a home appliance. For example, a temperature sensor and a humidity sensor installed in an air conditioner are an example of the residence sensor 91.

[0023] Yet another example of the dwelling sensor 91 is a pressure sensor. The pressure sensor is installed, for example, on a chair in the dwelling. The pressure sensor can then detect that a user is sitting on the chair. The pressure sensor may also be installed on a toilet seat in the dwelling. The pressure sensor can then detect that a user is using the toilet.

[0024] The residence sensors 91 also include sensors included in home appliances used in the home. Therefore, for example, when a user uses a robot vacuum cleaner, the sensors included in the robot vacuum cleaner are included in the residence sensors 91. The robot vacuum cleaner may be equipped with, for example, an infrared sensor for the purpose of mapping the home.

[0025] The residence sensor 91 is not limited to these. The residence sensor 91 may be any sensor that can detect the living environment of a user living in the residence. The number of residence sensors 91 may be one or more. Furthermore, the type of residence sensors 91 installed in the residence may be one or more types. When multiple residence sensors 91 are installed, multiple residence sensors 91 of the same type may be installed, or multiple types of residence sensors 91 may be installed.

[0026] The communication terminal 92 is a communication terminal used by a user. Examples of the communication terminal 92 are a smartphone or a wearable terminal. The communication terminal 92 may be, for example, a tablet terminal or a personal computer. In FIG. 1, a wearable terminal used by a user is shown as an example of the communication terminal 92. The number of communication terminals 92 may be one or more. When there are multiple communication terminals 92, the multiple communication terminals 92 may be multiple communication terminals 92 used by the same user, or may be communication terminals 92 used by multiple users.

[0027] A sensor is installed in communication terminal 92. Health management apparatus 10 can acquire the detection results of the sensor installed in communication terminal 92. The sensor installed in communication terminal 92 is, for example, a GPS (Global Positioning System) sensor, an acceleration sensor, or a gyro sensor. The sensors installed in communication terminal 92 are not limited to these. If communication terminal 92 includes a camera, the image sensor of the camera is included in the sensors installed in communication terminal 92. Furthermore, the user can register information using communication terminal 92. Then, communication terminal 92 can, for example, transmit the registered information to health management apparatus 10.

[0028] Database 93 stores information about users. The information about users includes information about the user's living environment and a life log. In other words, database 93 is a database that stores information about the user's living environment and a life log. The information about users stored in database 93 is not limited to this. Database 93 may also store information about a witness, which will be described later. In other words, database 93 may store information about a person different from the user. The information about a witness may include, for example, information about the witness' living environment and a life log. Witnesses will be described later. The information stored in database 93 is not limited to this. Database 93 may store information used by health management device 10.

[0029] The configuration of health management device 10 will be described with reference to Fig. 2. Fig. 2 is a block diagram showing an example of the configuration of health management device 10. Health management device 10 includes an acquisition unit 101 and an estimation unit 102. Health management device 10 may also include a determination unit 103 and an output unit 104. Fig. 3 is a block diagram showing another example of the configuration of the health management device. In the example of Fig. 3, health management device 10 includes an acquisition unit 101, an estimation unit 102, a determination unit 103, and an output unit 104.

[0030] The acquisition unit 101 is one aspect of an acquisition means that acquires information about the living environment of the user and the life log of the user before and after a change in the living environment.

[0031] Examples of changes in the living environment are as described above. Furthermore, changes in the living environment can be detected by known methods. For example, changes in the living environment can be detected by registration by the user. For example, when a change occurs in the living environment, the user can register that the living environment has changed. Furthermore, the user may register what kind of change in the living environment has occurred. That is, the user may register the reason for the change in the living environment. Examples of reasons for a change in the living environment include moving house or relocating to temporary housing. The user may register changes in the living environment using, for example, the communication terminal 92. The method of registration by the user is not limited to these.

[0032] A change in the living environment may be detected, for example, by a change in information acquired by the acquisition unit 101. The acquisition unit 101 acquires information on the user's living environment and the user's life log. Details of the information on the user's living environment and the user's life log will be described later. A change in the living environment may cause a change in the information on the user's living environment or the user's life log. Therefore, it may be determined that a change in the living environment has occurred when a predetermined change occurs in the information on the user's living environment or the user's life log. In other words, a change in the living environment may be detected. The predetermined change is a change of a magnitude that occurs when the living environment changes. The predetermined change may be determined in advance.

[0033] A change in the living environment may be detected, for example, based on the content posted by the user on a social networking service (SNS). When a user's living environment changes, the user may post about the change on the SNS. Therefore, for example, a change in the user's living environment may be detected from words included in the content posted on the SNS. For example, if the user posts about moving, it is possible to consider the change in the living environment due to the move.

[0034] A change in the living environment may be detected, for example, based on the location information of the communication terminal 92. For example, a change in the residence can be detected based on a change in the location of the communication terminal 92. A change in the location of the user's residence can be detected by determining that the location where the communication terminal 92 is located for a predetermined period of time is the user's residence. The predetermined period is the length of time during which the user is considered to be at their residence, and may be determined in advance. Furthermore, a change in the location of the user's residence can be detected by determining that the location where the communication terminal 92 is located during a predetermined period of time is the user's residence. The predetermined period of time is a period of time during which the user is considered to be at home. The predetermined period of time is, for example, nighttime, but is not limited to this.

[0035] The method of detecting a change in the living environment is not limited to these. The information on the user's living environment and the user's life log acquired by the acquisition unit 101 before the change in the living environment is detected are the information on the user's living environment and the user's life log before the change in the living environment. The information on the user's living environment and the user's life log acquired by the acquisition unit 101 after the change in the living environment is detected are the information on the user's living environment and the user's life log after the change in the living environment. The detection of the change in the living environment may be performed by, for example, the detection unit. In other words, the detection unit detects the change in the user's living environment.

[0036] The contents and acquisition methods of information on living environment and life log will be explained below.

[0037] The information on the living environment is information about the livability of the user's residence. The user's perception of the comfort of living in a residence varies depending on the living environment. Therefore, the acquisition unit 101 acquires information about the livability of the user's residence as the information on the living environment. The information on the living environment may also be information about the living environment that influences the user's behavior. The user's behavior in daily life may differ depending on the living environment. Therefore, the information on the living environment may be information that influences the user's behavior. Here, the information on the living environment includes information about the inside of the user's residence and information about the outside of the user's residence. An example of the information on the living environment will now be described. The information on the living environment includes at least one of information about the layout of the user's residence, information about the facilities of the residence, information about the location of the residence, and information about the community.

[0038] The information on the living environment includes information about the floor plan of the user's residence. In other words, the information about the floor plan of the user's residence is information about the interior of the user's residence, and the information about the floor plan of the residence is information indicating the number and arrangement of rooms in the residence. For example, if the residence is a 1LDK (one living, dining, and kitchen) apartment, the information about the floor plan includes the arrangement of the living room, living room, dining room, kitchen, toilet, and bathroom. The information about the floor plan may also include the orientation of the residence. The information about the floor plan may also include information about lighting surfaces or the presence or absence of windows. The information about the floor plan may also include the presence or absence of stairs in the residence. If the user's residence is a multi-story home, the information about the floor plan may include, for example, the number of floors on which the residence is located and the arrangement of rooms on each floor. If the user's residence is a shared residence such as an apartment building, the information about the floor plan may also include the number of floors on which the user's residence is located. The information about the floor plan is not limited to these.

[0039] A method for acquiring information about the floor plan of a user's residence by the acquisition unit 101 will be described. The acquisition unit 101 can acquire information about the floor plan of a user's residence, for example, by registering the user. The user can register information about the floor plan of the residence using, for example, a communication terminal 92.

[0040] The acquisition unit 101 may also acquire information about the floor plan of the residence from the detection results of the residence sensor 91. The acquisition unit 101 may also acquire information about the floor plan of the residence from the detection results of a sensor included in the communication terminal 92. For example, the acquisition unit 101 acquires at least one of an image of the interior of the residence captured by a camera installed in the residence and an image of the interior of the residence captured by a camera of the communication terminal 92. Then, the acquisition unit 101 performs image analysis on at least one of the image captured by the camera installed in the residence and the image captured by the camera of the communication terminal 92. The acquisition unit 101 can acquire information about the floor plan of the residence as a result of the image analysis.

[0041] The acquisition unit 101 can acquire information about the floor plan of the residence by using, for example, the detection result of an infrared sensor installed in the robot vacuum cleaner. The acquisition unit 101 can acquire information about the floor plan of the residence by analyzing the detection result of the infrared sensor. The analysis of the detection result of the infrared sensor is performed using known techniques related to residence mapping.

[0042] The acquisition unit 101 may acquire information owned by a management company that manages the residence. The acquisition unit 101 may acquire information about the floor plan of the residence from a server (not shown) of the management company. Here, the health management device 10 and the server of the management company are connected via a wired or wireless network.

[0043] The method of acquiring information about the floor plan of the user's residence by the acquisition unit 101 is not limited to these. Furthermore, the acquisition unit 101 may acquire information about the floor plan of the residence by combining the above acquisition methods. The acquisition unit 101 may store information about the floor plan of the user's residence in the database 93. Then, when the estimation unit 102, which will be described later, estimates the health condition, the acquisition unit 101 can read information about the floor plan of the user's residence from the database 93. That is, the acquisition unit 101 can acquire information about the floor plan of the user's residence.

[0044] The information on the living environment includes information about the facilities of the residence. The facilities of the residence include facilities installed within the residence. In other words, the information about the facilities of the residence is information about the inside of the user's residence. The facilities of the residence are, for example, furniture installed within the residence. Specific examples of furniture installed within the residence include, but are not limited to, sofas, beds, desks, chairs, tables, dressers, and bookshelves. The facilities of the residence are, for example, home appliances used within the residence. Specific examples of home appliances used within the residence include, but are not limited to, refrigerators, air conditioners, microwave ovens, televisions, vacuuming robots, and dishwashers. The facilities within the residence may also be facilities related to lifelines such as gas, water, and electricity.

[0045] The facilities of the residence may include facilities installed outside the user's residence. Here, facilities installed outside the user's residence refer, for example, to facilities installed on a property owned by the user. Facilities installed outside the residence are, for example, a parking lot for the user to park their cars. Other examples of facilities installed outside the residence are a garden or balcony installed on the user's property. Facilities installed outside the residence are not limited to these. Furthermore, if the user's residence is an apartment building, the facilities of the residence may include facilities in the common areas of the apartment building. An example of facilities in the common areas is an elevator, but is not limited to this.

[0046] The information about the equipment in the residence may include, for example, the type and number of the equipment. The information about the equipment in the residence may also include, for example, the location of the equipment. In the case of equipment installed within the residence, the location of the equipment may represent the location within the residence. In the case of equipment installed outside the residence, the location of the equipment may represent the location relative to the residence. The information about the equipment in the residence may also include the age of the equipment.

[0047] Information about residential facilities is not limited to these. Information about residential facilities may also include the amount of facility usage. The amount of usage of each facility is, for example, the amount of time or number of times each facility is used per day. For example, if the facility is an air conditioner, the information about the facility may include the amount of time the air conditioner is used and the set temperature. Also, for example, if the facility is a toilet, the information about the facility may include the number of times the toilet is used per day. Furthermore, for example, if the facility is an elevator, the information about the facility may include the number of times the elevator is used per day. The amount of facility usage may be expressed, for example, in terms of water usage or electricity consumption.

[0048] The following describes how the acquisition unit 101 acquires information about the facilities in the user's home. The acquisition unit 101 can acquire information about the facilities in the user's home, for example, by registering the user. The user can register information about the facilities in the home using the communication terminal 92, for example.

[0049] The acquisition unit 101 may also acquire information about the equipment in the home from images captured by a camera. The images captured by the camera include at least one of an image of the inside of the home captured by a camera installed inside the home, an image of the outside of the home captured by a camera installed outside the home, and an image captured by a camera included in the communication terminal 92. The acquisition unit 101 may acquire the type and number of equipment from the images captured by the camera. The acquisition unit 101 acquires the image of the home captured by the camera. Then, the acquisition unit 101 detects the equipment included in the image by analyzing the image. The image analysis is performed using a known object detection technology. As a result of the analysis, the acquisition unit 101 can acquire information about the type and number of equipment in the home.

[0050] The acquisition unit 101 may acquire the usage amount of the equipment from an image captured by a camera. Here, the image includes a moving image. The acquisition unit 101 can detect a user included in the image and detect the use of the equipment by the user by image analysis. The detection of the user and the detection of the use of the equipment by the user are performed using a known image recognition technology.

[0051] Acquiring unit 101 may acquire, as the amount of lifeline usage, the measurement results of a device that measures the amount of lifeline usage. The device that measures the amount of lifeline usage is, for example, a gas meter, a water meter, or an electricity meter. Health management device 10 and the device that measures the amount of lifeline usage are connected via a wired or wireless network. Acquiring unit 101 may also acquire the amount of lifeline usage from a server (not shown) of a provider that provides the lifeline. Health management device 10 and the server of the provider that provides the lifeline are connected via a wired or wireless network.

[0052] The acquisition unit 101 may acquire the usage amount of each piece of equipment from the settings of each piece of equipment. The settings of each piece of equipment include on and off of each piece of equipment. The time from when the equipment is turned on to when it is turned off is the usage time of the equipment. The settings of each piece of equipment may also include, for example, temperature, air volume, volume, or illuminance. The settings of each piece of equipment are not limited to these. When the health management device 10 and each piece of equipment are connected via a wired or wireless network, the acquisition unit 101 may acquire the usage amount of the equipment from each piece of equipment. When the communication terminal 92 and each piece of equipment are connected via a wired or wireless network, for example, the acquisition unit 101 may acquire the usage amount of each piece of equipment from the communication terminal 92.

[0053] The method by which the acquisition unit 101 acquires information about the facilities in the user's home is not limited to these. Furthermore, the acquisition unit 101 may acquire information about the facilities in the home by combining the above acquisition methods. The acquisition unit 101 may store information about the facilities in the user's home in list form in the database 93. That is, the database 93 may store a list of the facilities in the home. Then, when the estimation unit 102 described below estimates the health state, the acquisition unit 101 can acquire information about the facilities in the user's home from the list of the facilities in the home stored in the database 93.

[0054] The information about the living environment may include information about the location of the user's residence, including surrounding facilities and the topography of the area around the residence.

[0055] Facilities surrounding a residence are facilities that the user may use. An example of a surrounding facility is a store that the user uses. Examples of stores include, but are not limited to, supermarkets, convenience stores, or drug stores. Stores may also be exercise facilities such as gyms. Another example of a surrounding facility is a facility related to public transportation. Examples of facilities related to public transportation include, but are not limited to, train stations, bus stops, bus terminals, and ferry terminals. Another example of a surrounding facility is a public facility. Specific examples of public facilities include, but are not limited to, parks, hospitals, libraries, and community centers. Furthermore, surrounding facilities may include roads surrounding the residence. Roads surrounding the residence include main roads and expressways. Examples of surrounding facilities of a residence are not limited to these.

[0056] The information about the location of the residence includes the information about the surrounding facilities mentioned above. The information about the surrounding facilities includes the type and number of facilities. The information about the surrounding facilities also includes the distance from the residence to the facility. Furthermore, the information about the surrounding facilities may include the time required to get from the residence to the facility. In this case, the information about the surrounding facilities may include the means of transportation to the facility and the time required for each means of transportation. The information about the surrounding facilities may also include the hours the facility is open. The information about the surrounding facilities is not limited to these. The information about the surrounding facilities only needs to include information necessary for the user to use the facility.

[0057] The information about the location of the residence includes information about the topography around the residence. The information about the topography around the residence is, for example, information about the elevation difference around the residence. The amount of exercise a user does may differ between an area with many slopes and stairs and an area with many flat roads. The information about the topography around the residence includes information about the elevation difference around the residence. The elevation difference around the residence may be expressed, for example, as an elevation difference. The elevation difference around the residence may also be expressed as the gradient of the stairs or slopes. The information about the topography around the residence is not limited to these.

[0058] A method for acquiring information relating to the location of a user's residence by the acquisition unit 101 will be described. The acquisition unit 101 can acquire information relating to the location of a user's residence, for example, by registering the user. The user may, for example, register a facility that the user uses. The user may also register a means of transportation to the facility. Information that the user can register is not limited to these. The user can, for example, register information relating to the facilities of the residence using the communication terminal 92.

[0059] The acquisition unit 101 may acquire, for example, information about the location of the residence from map information. The map information includes facility information and topographical information. Therefore, the acquisition unit 101 can acquire, for example, the type and number of facilities within a predetermined distance from the residence. An example of the predetermined distance is the distance that the user can travel. In other words, the acquisition unit 101 can acquire the type and number of facilities within a distance that the user can use. Furthermore, the acquisition unit 101 may acquire, from the map information, information about the topography around the residence.

[0060] The method by which the acquisition unit 101 acquires information about the location of the user's residence is not limited to these. Furthermore, the acquisition unit 101 may acquire information about the location of the residence by combining the above acquisition methods. The acquisition unit 101 may store information about surrounding facilities in the database 93 in list format. That is, the database 93 may store a list of surrounding facilities. Then, when the estimation unit 102 described below estimates the health state, the acquisition unit 101 can acquire information about the surrounding facilities of the user's residence from the list of surrounding facilities stored in the database 93.

[0061] The information about the living environment may include information about the community. A community is, for example, a local organization to which the user belongs. The information about the community includes participating members. The information about the community may also include the purpose of participation. For example, a user may belong to a community with members who share a common hobby. Therefore, the purpose of participation, which is a common hobby, may be included in the information about the community. The information about the community is not limited to this. The information about the community may also include information about places where members gather to carry out activities, the frequency and duration of the user's participation.

[0062] A method for acquiring information related to a community by the acquiring unit 101 will be described. The acquiring unit 101 can acquire information related to a community, for example, by user registration. A user may, for example, register participating members of a community to which the user belongs and the purpose of participation. Information that a user can register is not limited to this. A user can register information related to a community using, for example, a communication terminal 92.

[0063] The acquisition unit 101 may acquire information about the community from, for example, location information of the communication terminal 92. People located within a predetermined range from the user's communication terminal 92 can be considered to be participating members of the community. The predetermined range is a range within which the user can communicate with participating members of the community. Furthermore, the time when the user and participating members are gathered may be considered to be the time when the user is participating in the community. The information about the community acquired from the location information of the communication terminal 92 is not limited to these.

[0064] The method for acquiring information related to the community by the acquiring unit 101 is not limited to these. Furthermore, the acquiring unit 101 may acquire information related to the community by combining the above acquisition methods. The acquiring unit 101 may store information related to the community in list form in the database 93. That is, the database 93 may store a list of communities in which the user participates. Then, when the estimating unit 102, which will be described later, estimates a health condition, the acquiring unit 101 can acquire information related to the user's community from the list of communities stored in the database 93.

[0065] Next, a life log will be described. A life log is information about a user's lifestyle. The life log includes at least one of the user's exercise history and information about the user's diet.

[0066] The user's exercise history includes the amount of exercise the user does daily. The exercise history may also include the time or duration of the exercise. The exercise history may also include the exercise content, the exercise location, and the exercise duration. The exercise content may be, for example, exercise such as running, walking, weight training, or cycling. The exercise content includes actions taken in daily life. For example, the exercise content may include traveling by bicycle to shop at a supermarket. In this case, the exercise location may be the route between home and the supermarket. The exercise history may also include, for example, movement within the home and actions taken for housework. The user's exercise history is not limited to these.

[0067] A method for acquiring a user's exercise history by the acquisition unit 101 will be described. The acquisition unit 101 can acquire a user's behavior history, for example, by registering the user. The user may register the exercise content and exercise time. As a specific example, the user may register that they ran for 30 minutes. The information that the user can register is not limited to this. The user can register the exercise history using, for example, a communication terminal 92 including a smartphone or a wearable device.

[0068] The acquisition unit 101 may also acquire the exercise history from images captured by a camera. Here, the images include video images. The images captured by the camera include at least one of images of the inside of the home captured by a camera installed inside the home, images of the outside of the home captured by a camera installed outside the home, and images captured by a camera included in the communication terminal 92. The acquisition unit 101 acquires the images of the home captured by the camera. The acquisition unit 101 then detects the user's behavior by analyzing the images. The acquisition unit 101 can acquire the exercise history from the detection results of the user's behavior. The acquisition unit 101 can acquire the exercise content and exercise time from the user's behavior captured in the images. Furthermore, the acquisition unit 101 can acquire the user's exercise location from the location of the camera that captured the image of the user. The image analysis is performed using known image recognition technology.

[0069] The acquisition unit 101 may acquire the exercise history from the detection results of a sensor installed in the communication terminal 92. The user may exercise while holding the communication terminal 92. For example, the user may exercise while wearing a wearable terminal. The user may also perform housework or other activities while holding a smartphone. Therefore, the acquisition unit 101 can acquire the exercise history from the detection results of the sensor installed in the communication terminal 92. For example, the communication terminal 92 analyzes the detection results of the sensor and generates information about the exercise history. Therefore, the acquisition unit 101 can acquire the information about the exercise history from the communication terminal 92. The acquisition unit 101 may analyze the detection results of the sensor installed in the communication terminal 92. The analysis of the detection results of the sensor is performed using known technology.

[0070] The method for acquiring an exercise history by the acquisition unit 101 is not limited to these. Furthermore, the acquisition unit 101 may acquire an exercise history by combining the above acquisition methods.

[0071] The information about the user's dietary habits includes the contents of the meals eaten by the user. The information about the dietary habits may also include the time or number of times the user ate a meal. Furthermore, the information about the dietary habits may also include nutritional information about the meals eaten by the user. The information about the user's dietary habits is not limited to these.

[0072] A method for acquiring the exercise history of a user by the acquisition unit 101 will be described. The acquisition unit 101 can acquire information about the user's dietary habits, for example, by registering the user. The user can register the meals they have eaten, for example, using the communication terminal 92.

[0073] The acquisition unit 101 may also acquire information about the dietary habits from images captured by a camera. Here, the images include moving images. The images captured by the camera are, for example, images captured by a camera installed in a dining room. Furthermore, the images captured by the camera are, for example, images of meals captured by a camera included in the communication terminal 92. The acquisition unit 101 acquires images of the residence captured by the camera. The acquisition unit 101 then detects meals taken by the user by analyzing the images. The acquisition unit 101 can acquire information about the dietary habits from the meal detection results. Furthermore, the acquisition unit 101 can acquire the time when the user ate a meal from the time when the captured image was taken by the user. The acquisition unit 101 may analyze the meal contents to acquire nutritional information about the meal.

[0074] The method for acquiring an exercise history by the acquisition unit 101 is not limited to these. Furthermore, the acquisition unit 101 may acquire an exercise history by combining the above acquisition methods.

[0075] The life log is not limited to these. The life log may include the user's vital signs. Examples of vital signs include, but are not limited to, weight, blood pressure, heart rate, or pulse. The life log may also include a medical history or medication history. The life log may also include the user's sleep history. The sleep history includes sleep duration, sleep quality, bedtime, and wake-up time. The acquisition unit 101 may acquire the vital signs, medical history, medication history, or sleep history through registration by the user. The acquisition unit 101 may also acquire the vital signs, medical history, medication history, or sleep history from the detection results of a sensor installed in the communication terminal 92. The method of acquiring the vital signs, medical history, medication history, or sleep history is not limited to these.

[0076] The method for acquiring the information on the living environment and the life log may differ depending on the time of acquisition. The acquisition unit 101 acquires the information on the living environment and the life log of the user before and after a change in the living environment of the user. Therefore, the acquisition unit 101 may acquire the information on the living environment and the life log using different methods before and after the change in the living environment. For example, if the change in the living environment is a move to temporary housing, the number and type of sensors installed in the residence in normal times may differ from those in the temporary housing. Therefore, for example, before the change in the living environment, the acquisition unit 101 acquires the information on the living environment from the residence sensor 91. On the other hand, after the change in the living environment, the acquisition unit 101 may acquire the information on the living environment through user registration.

[0077] The acquisition unit 101 may further acquire information about the living environment and life log of the reference person. A reference person is a person who serves as a reference when the determining unit 103, described below, determines an action. A reference person is, for example, a person who lives in a living environment similar to the user's living environment after the change. By referring to the lifestyle of a reference person who lives in a living environment similar to the user's living environment after the change, it may be possible to recommend an action that is effective for the user. Here, an example of a similar living environment is a similar floor plan to the user's residence after the change of living environment. If the user's residence after the change of living environment is a one-room apartment, a person living in a one-room apartment may be a reference person. If there are many hills around the user's residence after the change of living environment, a person living in a residence in an area with many hills may be a reference person. Here, the contents of the living environment information and the life log are as described above. The information acquired by the acquisition unit 101 may differ between the user and the reference person.

[0078] The acquisition unit 101 can acquire information about the living environment and life log of the witness by any of the acquisition methods described above. Here, the same information may be acquired by different methods for the user and the witness. For example, the acquisition unit 101 acquires the user's exercise history from the detection results of a sensor installed in the communication terminal 92. On the other hand, the acquisition unit 101 may acquire the witness' exercise history from images captured by a camera.

[0079] The estimation unit 102 is one aspect of estimation means that estimates the health state of the user after a change in the living environment, using information about the living environment and a life log.

[0080] The health status of a user includes the physical health status and mental health status of the user. In other words, the health status represents the physical and mental condition of the user. Examples of physical health status include the risk of musculoskeletal disorders, the risk of disease worsening, or the risk of disease onset. Furthermore, the physical health status includes being physically in good condition. Examples of mental health status include mental stress and the risk of developing a mental illness. The mental health status includes being mentally in good condition. Examples of health status are not limited to these.

[0081] The health condition may be expressed as a probability. For example, a better health condition may be expressed by a larger number, and a worse health condition may be expressed by a smaller number. For example, the degree of risk may be expressed as a probability. The health condition may also be expressed by a rank or score divided into multiple stages. For example, mental stress may be expressed by a rank divided into stages according to the intensity of stress. The health condition may also be expressed by the presence or absence of risk or stress. Alternatively, the health condition may be expressed by the degree of change. For example, the risk of disease worsening may be expressed by the magnitude of change in the risk of worsening. The health condition may also be expressed by the rate of change within a specific period.

[0082] A method for estimating a user's health state by the estimation unit 102 will be described. The estimation unit 102 estimates the user's health state using a trained model. Here, the trained model used to estimate the user's health state is called a health state estimation model. The health state estimation model is a model that learns the relationship between the user's living environment information and life log and the user's health state through machine learning. The estimation unit 102 uses the living environment information and life log acquired by the acquisition unit 101 as input to the health state estimation model. Then, the estimation unit 102 acquires an estimation result of the user's health state, which is the output of the health state estimation model. The estimation unit 102 may estimate the user's health state using a predetermined algorithm.

[0083] The estimation unit 102 estimates the user's health state after the change in living environment using information about the living environment before and after the change and the life log. By using the information about the living environment before and after the change and the life log, the estimation unit 102 can estimate the health state after the change in living environment based on the information before the change in living environment.

[0084] The estimation unit 102 receives, for example, information about the layout of the user's residence and an exercise history as input. At this time, the estimation unit 102 can estimate mental stress using a health condition estimation model or a predetermined algorithm. For example, if a person moves from a 3LDK residence to a 1K residence due to relocation to temporary housing and their daily exercise volume decreases, they may feel mental stress due to the change in their living environment. Therefore, the estimation unit 102 can estimate the presence or absence of mental stress. The estimation unit 102 may also estimate the degree of mental stress.

[0085] The estimation unit 102 receives, for example, information about the equipment in the user's home. At this time, the estimation unit 102 can estimate the risk of developing a disease or the risk of disease worsening using a health state estimation model or a predetermined algorithm. The estimation unit 102 can estimate mental stress using a health state estimation model or a predetermined algorithm. For example, if a user lives in a home damaged by a disaster, the heating equipment used before the disaster may be unusable after the disaster. Furthermore, due to power restrictions caused by the disaster, the amount of heating equipment used after the disaster may decrease compared to the amount of heating equipment used before the disaster. In this way, changes in the living environment may change the presence or absence of heating equipment or the amount of heating equipment used. In this case, it may be more difficult to manage the temperature in the user's home compared to before the change in the living environment. As a result, the risk of developing a disease or the risk of disease worsening may increase. Furthermore, when the use of equipment is restricted, the user may experience mental stress. Therefore, the estimation unit 102 can estimate the risk of developing a disease, the risk of disease worsening, or mental stress.

[0086] The estimation unit 102 receives, for example, information about location. At this time, the estimation unit 102 can estimate the risk of musculoskeletal disorders or the risk of developing a disease using a health state estimation model or a predetermined algorithm. An example will be described in which a user changes their living environment due to moving or relocating to temporary housing. For example, the user's residence before the change in living environment may be in an area with many flat roads and a supermarket within a five-minute walk. However, the user's residence after the change in living environment may be in an area with many slopes and the supermarket may only be within a 30-minute walk. In this case, the user's risk of developing a disease may be reduced by increasing the amount of daily exercise. In other words, the user's health may improve. On the other hand, an increase in the user's amount of exercise may increase the load on the musculoskeletal system, raising the risk of musculoskeletal disorders. Therefore, the estimation unit 102 estimates the risk of musculoskeletal disorders or the risk of developing a disease using a health state estimation model or a predetermined algorithm.

[0087] The estimation unit 102 receives, for example, information about a community as input. At this time, the estimation unit 102 can estimate mental stress using a health state estimation model or a predetermined algorithm. For example, a change in living environment may make it difficult for a user to participate in a community that they participated in before the change in living environment. If a user does not participate in a new community after the change in living environment, their connection with the local area may weaken, and they may feel mental stress. Furthermore, losing participation in a community may make it difficult to release stress, which may increase the risk of developing a mental illness, for example. Therefore, the estimation unit 102 estimates mental stress using a health state estimation model or a predetermined algorithm.

[0088] The estimation unit 102 may estimate the user's health state before the change in living environment using information about the living environment before the change and a life log. The estimation unit 102 can estimate the user's health state before the change in living environment using a health state estimation model or a predetermined algorithm. The estimation unit 102 can also estimate the health state of a reference person using information about the living environment of the reference person and a life log. The estimation unit 102 can estimate the health state of the reference person using a health state estimation model or a predetermined algorithm.

[0089] The health state estimation model or the predetermined algorithm may be a known technique. The health state estimation model may be an additionally trained model for estimating a health state.

[0090] The health state estimation model may be an additionally trained model for estimating the importance of information used to estimate a health state. The additionally trained health state estimation model estimates, for example, the importance of information used to estimate a health state. The information used to estimate a health state includes information on the living environment and a life log. The living environment information includes at least one of information on the layout of the residence, information on facilities, information on the location, and information on the community. The life log also includes at least one of exercise history, information on diet, and vital signs. The importance of each of these pieces of information is estimated by the additionally trained health state estimation model. The importance is determined by repeatedly estimating a health state using the health state estimation model.

[0091] An example of a method for estimating importance will now be described. Estimating the importance of data X will be described as an example. Data X represents some kind of data. Data X may be, for example, information about living environment or a life log. A health state estimated by estimation unit 102 using data X is compared with a health state S' estimated by estimation unit 102 without using data X. If S and S' are close in value, the importance of data X for estimating the health state is estimated to be low. For example, the absolute error, squared error, or cross-entropy error between S and S' is used as an index of importance.

[0092] Another example of a method for estimating importance will be described. The importance of information can be estimated using the health condition input by the user. The estimation unit 102 estimates the user's health condition using information about the living environment and the life log acquired by the acquisition unit 101. The importance of information can be estimated by comparing the estimated health condition with the health condition input by the user. Here, the input of the health condition by the user can be acquired by the acquisition unit 101 via the communication terminal 92, for example.

[0093] The information to be acquired by the acquisition unit 101 is determined by a health condition estimation model that has been additionally trained to estimate the importance of information. If the change in the living environment is, for example, a change due to the occurrence of a disaster, the amount of electricity may be limited. Therefore, it may be necessary to limit the information acquired by the acquisition unit 101. Therefore, the information to be acquired by the acquisition unit 101 may be determined according to the importance of the information. For example, the acquisition unit 101 acquires information with a high degree of importance. On the other hand, the acquisition unit 101 may not need to acquire information with a low degree of importance.

[0094] The health management apparatus 10 may include a determination unit 103 and an output unit 104.

[0095] The determination unit 103 is one aspect of a determination means for determining an action corresponding to the health state after a change in the living environment as an action to be recommended to the user. That is, the determination unit 103 determines an action to be recommended to the user using the health state after the change in the living environment. The action corresponding to the health state after the change in the living environment is an action to promote the health of the user. For example, if the health state estimated by the estimation unit 102 is poor, the determination unit 103 may determine an action to improve the health state of the user. Furthermore, if the health state estimated by the estimation unit 102 is good, the determination unit 103 may determine an action to maintain the health state of the user. Specific examples of actions recommended to the user include stretching, actions to improve the environment in the home, and exercise. Furthermore, the action recommended to the user may be, for example, participation in a local community.

[0096] The activity recommended to the user may be an exercise using an item that the user can use. The item that the user can use is an item that the user can use when performing the recommended activity. An example of an item that the user can use is a stretching pole, but is not limited to this. Information about the items that the user can use is obtained, for example, by user registration. Furthermore, information about the items that the user can use may be obtained, for example, by image analysis of images captured by a camera installed in the residence.

[0097] The actions recommended to the user are not limited to these, but may be any actions that can affect the user's health condition.

[0098] The behavior recommended to the user determined by the determination unit 103 may be one behavior. Alternatively, the behavior recommended to the user determined by the determination unit 103 may be a recommended program including multiple behaviors. For example, the recommended program has a predetermined order in which multiple behaviors are to be performed. Alternatively, the determination unit 103 may determine at least one of the timing, number of times, and location at which the user performs the recommended behavior. Alternatively, the determination unit 103 may determine a period during which the user performs the recommended program. The behavior recommended to the user determined by the determination unit 103 may be candidate behaviors to be performed by the user. The determination unit 103 can determine candidate behaviors to be performed by the user as behaviors to be recommended to the user. The user can then select the behavior they wish to perform from the candidates.

[0099] The determination unit 103 uses the trained model to determine an action to be recommended to the user. Here, the trained model used to determine an action to be recommended to the user is referred to as a behavioral decision model. The behavioral decision model is a model that learns, through machine learning, the relationship between the user's health state and the action corresponding to the user's health state. The determination unit 103 uses the user's health state after a change in living environment, estimated by the estimation unit 102, as input to the behavioral decision model. The determination unit 103 then acquires the determination result of the action to be recommended to the user, which is the output of the behavioral decision model. The determination unit 103 may determine an action to be recommended to the user using a predetermined algorithm. For example, the determination unit 103 may determine an action to be recommended to the user by referring to a table in which the user's health state is associated with an action corresponding to the health state. The table in which the user's health state is associated with an action corresponding to the health state is prepared in advance. The determination unit 103 may determine an action corresponding to the health state of both parties estimated by the estimation unit 102 as the action to be recommended to the user.

[0100] A specific example of determining an action to be recommended to a user will be described. For example, a case will be described in which the estimation unit 102 estimates a health condition indicating a high risk of musculoskeletal disorders. In this case, the determination unit 103 can determine an exercise that is effective for joints or muscles as the action to be recommended to the user. Furthermore, if the estimation unit 102 estimates that the user is under high mental stress, the determination unit 103 may determine stretching of muscles involved in breathing as the action to be recommended to the user. In this case, the determination unit 103 may determine stretching that is believed to be effective in relieving anxiety and stress as the action to be recommended to the user.

[0101] When the estimation unit 102 estimates that a decrease in the amount of exercise indicates a high risk of developing a disease, the determination unit 103 may determine, as the behavior to be recommended to the user, exercise that can be performed at home. In this case, the determination unit 103 may determine, as the behavior to be recommended to the user, a recommended program including an action to increase the amount of exercise. The recommended program may be a program in which the user continues to perform exercises for a predetermined period of time. The predetermined period is a period during which the user's health condition can be improved by continuing to perform exercises. The exercises included in the recommended program may vary depending on the time period. For example, the user may perform low-impact exercises in the first half of the program, and then perform high-impact exercises in the second half of the program. Furthermore, the number of times an exercise is performed may vary depending on the time period. For example, the number of times the user performs exercises may increase as the period of the program passes.

[0102] When the estimation unit 102 estimates that multiple risks or stresses are high, the determination unit 103 can determine an appropriate behavior to recommend to the user using a behavioral decision model. At this time, the scores of each of the multiple risks or stresses estimated by the estimation unit 102 are input to the behavioral decision model. Then, the behavioral decision model outputs an appropriate behavior to recommend to the user.

[0103] The determination unit 103 can determine, as the recommended timing, a timing appropriate for the user to perform the recommended behavior. For example, the determination unit 103 may determine that the behavior corresponding to the health state after the change in living environment should be performed periodically. The determination unit 103 may also determine the recommended timing according to the content of the behavior corresponding to the health state after the change in living environment. For example, if the behavior corresponding to the health state after the change in living environment is walking, the user may obtain more benefits by walking in the morning. Therefore, the determination unit 103 may determine that the appropriate timing for walking is the morning. Furthermore, if the behavior recommended to the user is stretching, which is believed to be effective in relieving anxiety and stress, the user may obtain more benefits by stretching before going to bed. Therefore, the determination unit 103 may determine that the appropriate timing for stretching is before going to bed. Examples of the appropriate timing for the user to perform the recommended behavior are not limited to these. The determination unit 103 may determine the recommended timing according to the weather. If the behavior recommended to the user is an activity to be performed outside the residence, the determination unit 103 can determine the recommended timing by referring to weather information. For example, the determination unit 103 can determine that a time when the weather is fine is the recommended timing.

[0104] The determination unit 103 can determine, as a recommended location, a location that is appropriate for the user to perform the recommended behavior. The determination unit 103 may determine the recommended location according to the content of the behavior according to the health condition after a change in the living environment. The determination unit 103 may also determine the recommended location according to an item that the user will use when performing the recommended behavior. The method for determining a location that is appropriate for the user to perform the recommended behavior is not limited to these.

[0105] The determination unit 103 may determine, as the behavior to be recommended to the user, an behavior that corresponds to the health state after the change in living environment and the health state before the change in living environment. That is, the determination unit 103 determines the behavior to be recommended to the user using the health state after the change in living environment and the health state before the change in living environment. By using the health states before and after the change in living environment to determine the behavior to be recommended to the user, the determination unit 103 can determine, as the behavior to be recommended to the user, an behavior that corresponds to the change in health state.

[0106] A specific example of determining an action to be recommended to a user according to the health state before and after a change in living environment will be described. An example will be described in which the estimation unit 102 estimates mental stress as the health state and expresses the level of mental stress on a 10-point scale. Here, the lower the number, the lower the stress. Suppose the level of mental stress before the change in living environment was 1, while the level of mental stress after the change is 2. In this case, the level of mental stress being 2 indicates a low level of stress on a 10-point scale. However, the stress felt by the user has increased. Therefore, the determination unit 103 may determine stretching, which is believed to be effective in relieving mental stress, as the action to be recommended to the user.

[0107] The determination of the behavior according to the health state before and after the change in the living environment is not limited to these. By using the health state before and after the change in the living environment, the determination unit 103 can determine an appropriate behavior according to the change in the user's health state.

[0108] When the determination unit 103 determines the behavior to be recommended using a behavioral decision model, the health state after the change in living environment and the health state before the change in living environment are input to the behavioral decision model. Here, the health state after the change in living environment and the health state before the change in living environment are estimated by the estimation unit 102. Then, the determination unit 103 obtains the determination result of the behavior to be recommended to the user, which is the output of the behavioral decision model. The estimation unit 102 may determine the behavior to be recommended to the user using a predetermined algorithm.

[0109] The determination unit 103 may determine the behavior to be recommended to the user based on the information on the living environment of the reference person and the life log. Here, the reference person is, as described above, a person whose living environment is similar to the living environment of the user after the change.

[0110] The determination unit 103 can determine a person of interest based on information about the user's living environment. That is, the determination unit 103 can determine who to refer to as a person of interest when determining an action to recommend to the user. The determination unit 103 can, for example, determine as a person of interest a person whose living environment has a predetermined number of similarities with the information about the user's living environment. The predetermined number is set in advance. The predetermined number may be any number that is considered to be similar between the user's living environment and the living environment of the person of interest.

[0111] The determination unit 103 may determine a person to be a witness based on, for example, the importance of information estimated by a health state estimation model. The determination unit 103 may determine, as a person to be a witness, a person whose living environment matches information about a living environment estimated to be highly important. The method for determining a person to be a witness is not limited to the above. Furthermore, the number of witnesses may be one or more.

[0112] When the determination unit 103 uses a behavioral decision model, the health state of the reference person after the change in living environment and the health state of the reference person are input to the behavioral decision model. Here, the health state of the reference person after the change in living environment and the health state of the reference person are estimated by the estimation unit 102. The determination unit 103 then obtains the determination result of the behavior to be recommended to the user, which is the output of the behavioral decision model. The estimation unit 102 may determine the behavior to be recommended to the user using a predetermined algorithm.

[0113] A specific example of determining an action to recommend to a user using the health condition of a reference person will be described. For example, assume that both the user and the reference person live in hilly areas and it takes 30 minutes to walk to a supermarket. The estimation unit 102 then estimates the risk of musculoskeletal disorders as the health condition. In this case, the user may be estimated to have a low risk of musculoskeletal disorders, while the reference person may be estimated to have a high risk of musculoskeletal disorders. Since the reference person lives in a hilly area and takes 30 minutes to walk to a supermarket, the reference person may be estimated to have a high risk of musculoskeletal disorders. After a change in the user's living environment, the user may also experience an increased risk of musculoskeletal disorders because they now live in a hilly area and take 30 minutes to walk to a supermarket. Therefore, the determination unit 103 can determine exercises that are effective for joints or muscles as the action to recommend to the user.

[0114] Furthermore, it is assumed that the residences of both the user and the informant are one-room apartments. If the residence of the user before the change in living environment was, for example, a two-bedroom apartment, the user may feel mental stress due to the small size of the residence. However, the informant who lives in a residence with the same one-room apartment layout as the user may be estimated to have a low level of mental stress. In this case, the determination unit 103 can determine an action that affects the health condition of the informant as an action to be recommended to the user. For example, based on information about the facilities in the informant's residence, it may be determined that the informant uses the bathtub frequently. In this case, the determination unit 103 can determine taking a bath as an action to be recommended to the user. Furthermore, based on the exercise history of the informant, if the informant runs once a week, the determination unit 103 can determine that running once a week is an action to be recommended to the user.

[0115] Determining the behavior recommended to the user using the health state of the reference person is not limited to these. By determining the behavior recommended to the user using the health state of the reference person, it is possible to compare the health state of the user with the health state of the reference person. As a result, for example, it is possible to determine an appropriate behavior for the user based on the difference between the health state of the user and the health state of the reference person. When determining the behavior recommended to the user using the health state of the reference person, the determination unit 103 may further use the health state of the user before the change in living environment.

[0116] The output unit 104 is one aspect of output means that outputs information about an action. The output unit 104 outputs information about an action according to the health state after a change in the living environment. In other words, the output unit 104 outputs information about an action recommended to the user. The information about an action recommended to the user is information necessary for the user to perform the action. The information about an action recommended to the user is a description of the action. For example, if the information about an action recommended to the user is exercise, the description of the action may include an explanation of the body parts to be moved, the direction of movement, and tips for the exercise. Furthermore, the description of the action may include the number of times to perform the action, the time required for the action, the name of the action, the recommended timing, and the recommended location.

[0117] The information on the behavior recommended to the user is not limited to these. When the behavior recommended to the user is a recommended program, the information on the behavior recommended to the user may include the order in which the behavior is to be performed. Furthermore, the information on the behavior recommended to the user may include the reason for recommending the behavior. The reason for recommendation is the reason why the determination unit 103 decided on the behavior. The reason for recommendation may be, for example, the health condition of the user, which the determination unit 103 used to decide on the behavior.

[0118] The output unit 104 outputs information about the behavior recommended to the user in a manner that can be confirmed by the user. By outputting information about the behavior recommended to the user in a manner that can be confirmed by the user, the user can obtain information about the recommended behavior. The output unit 104 may output information about the behavior recommended to the user to the communication terminal 92. The communication terminal 92 can display information about the behavior recommended to the user on a screen of the communication terminal 92. Furthermore, the communication terminal 92 can output information about the behavior recommended to the user as audio from a speaker provided in the communication terminal 92.

[0119] The output unit 104 may output information about the behavior recommended to the user to a device (not shown) installed in the residence. The device installed in the residence includes a display device. An example of the display device is a display. A display may be installed in the residence. In this case, the output unit 104 may output information about the behavior recommended to the user to the display. The display can display information about the behavior recommended to the user on a screen. The user can then check the information about the behavior recommended to the user by looking at the display on the screen. An explanation of the action can be displayed in the form of a video on the screen of the display. The device installed in the residence also includes an audio output device. An example of the audio output device is a speaker. The audio output device can output information about the behavior recommended to the user by audio.

[0120] The output destinations of the output unit 104 are not limited to these. Furthermore, the output destinations of the output unit 104 may be one or more. For example, the output unit 104 may output information on an action recommended to the user to a display device and a communication terminal 92. The output destination of the output unit 104 may be determined by the determination unit 103, for example.

[0121] Furthermore, the output unit 104 may output the data to a preset output destination so that users other than the user can refer to it, for example, in order to manage the user's health condition and behavior. The users other than the user may be, for example, the user's family doctor or nurse.

[0122] The output destination of the output unit 104 may differ depending on the content of the action recommended to the user. When the action recommended to the user determined by the determination unit 103 is an action to be performed outside the residence, the output unit 104 can output information about the action recommended to the user to the communication terminal 92. On the other hand, when the action recommended to the user determined by the determination unit 103 is an action to be performed inside the residence, the output unit 104 can output information about the action recommended to the user to the communication terminal 92 or a display device installed in the residence.

[0123] The timing at which the output unit 104 outputs information on behaviors recommended to the user may be set in advance. For example, the output unit 104 may periodically output information on behaviors recommended to the user. For example, the output unit 104 may output information on behaviors recommended to the user at 12:00 every day. Furthermore, the timing at which the output unit 104 outputs information on behaviors recommended to the user may be set in advance by the user. The user can set the timing at which they want to receive information on behaviors recommended to the user. Then, the output unit 104 may output information on behaviors recommended to the user at the timing set by the user.

[0124] The timing at which the output unit 104 outputs information about an action recommended to the user may be determined based on the content of the action. The determination unit 103 may determine a recommended timing for performing the action recommended to the user. Then, the output unit 104 outputs the information about the action recommended to the user at the timing determined by the determination unit 103. The output unit 104 may also determine the recommended timing for performing the action recommended to the user. Therefore, the output unit 104 can output information about the action recommended to the user in accordance with the recommended timing. The output unit 104 may output information about the action recommended to the user, for example, a predetermined time before the recommended timing. The predetermined time is, for example, a time during which the user can prepare for the recommended action. The predetermined time is a time during which the user will not forget to perform the action recommended to the user. For example, if the output unit 104 outputs information too early compared to the recommended timing, the user may forget to perform the recommended action. An example of the predetermined time is 30 minutes before the recommended timing, but is not limited to this.

[0125] Furthermore, the timing at which the output unit 104 outputs information about an action recommended to the user may be determined according to a recommended location for the action recommended to the user and the location of the user. If the action recommended to the user is an action to be performed outside the residence, the output unit 104 may output information about the action recommended to the user when the user is outside the residence. If the action recommended to the user is an action to be performed inside the residence, the output unit 104 may output information about the action recommended to the user when the user is inside the residence. Whether the user is inside the residence can be determined, for example, from location information of the communication terminal 92.

[0126] The timing at which the output unit 104 outputs information about the behavior recommended to the user may be determined by the determination unit 103, for example.

[0127] The timing at which the output unit 104 outputs information on the behavior recommended to the user is not limited to these. Furthermore, the output by the output unit 104 may be one time or multiple times. When the output unit 104 outputs information on the behavior recommended to the user multiple times, the output unit 104 may output the information on the behavior recommended to the user to a different output destination for each output.

[0128] 4, the operation of health management device 10, which includes acquisition unit 101, estimation unit 102, determination unit 103, and output unit 104, will be described. FIG. 4 is a flowchart showing the operation of health management device 10.

[0129] In step S101, the acquisition unit 101 acquires the following before and after the change in the living environment: Information about the user's living environment and the user's life log are acquired. In step S102, the estimation unit 102 estimates the user's health state after the change in living environment. In step S103, the determination unit 103 determines an action corresponding to the health state after the change in living environment as an action to be recommended to the user. In step S104, the output unit 104 outputs information about the action to be recommended to the user. Then, the health management device 10 ends its operation.

[0130] If the health management apparatus 10 includes the acquisition unit 101 and the estimation unit 102, the operation of the health management apparatus 10 ends after steps S101 and S102.

[0131] In this embodiment, the health management device 10 has an acquisition unit 101 that acquires information about the user's living environment and the user's life log before and after a change in the living environment. Then, the estimation unit 102 uses the information about the living environment and the life log to estimate the user's health state after the change in the living environment. For example, a user's living environment may change due to a disaster or moving. When the living environment changes, the user's health state may also change. Therefore, the estimation unit 102 can manage the user's health state by estimating the user's health state after the change in the living environment. As a result, the user's health state can be improved.

[0132] Here, the health condition includes at least one of the risk of musculoskeletal disorders, the risk of disease worsening, the risk of disease onset, mental stress, and the risk of mental illness onset. The above health conditions include health conditions that may be difficult for the user to grasp. Therefore, by having the estimation unit 102 estimate the health condition, the user can grasp their own health condition. The health condition also includes being in good physical or mental condition. In this case, the user can grasp that their health condition has not deteriorated after changing their living environment. In other words, this can serve as a guideline for living after the change in living environment. In this way, by managing the user's health condition, for example, it may be easier for the user to take health measures as needed. As a result, the user's health condition can be improved. Furthermore, it is possible to support the user's decision-making regarding their behavior after changing their living environment.

[0133] Furthermore, the estimation unit 102 uses the information about the user's living environment acquired by the acquisition unit 101 and the user's life log. The health state of the user after a change in the living environment may be affected by the details of the change in the living environment. In other words, the health state of the user after a change in the living environment may be affected by how the living environment has changed. The health state after a change in the living environment may be affected by the details of the change in the life log. In other words, the health state after a change in the living environment may be affected by how the user's lifestyle has changed. Therefore, by using the information about the user's living environment and the user's life log to estimate the health state, the estimation unit 102 can appropriately estimate the health state of the user after a change in the living environment.

[0134] In this embodiment, the determining unit 103 of the health management device 10 determines, as an action to be recommended to the user, an action that corresponds to the health state after a change in the living environment. The change in the living environment may worsen the user's health state. If the health state estimated by the estimation unit 102 is poor, the determining unit 103 can determine an action to improve the user's health state. As a result, the user's health state may be improved. Furthermore, the change in the living environment may improve the user's health state. If the health state estimated by the estimation unit 102 is good, the determining unit 103 can determine an action to maintain the user's health state. As a result, the user's health state may be maintained or further improved. In other words, by the determining unit 103 determining, as an action to be recommended to the user, an action that corresponds to the health state after a change in the living environment, the user's health state after the change in the living environment can be improved.

[0135] Furthermore, the output unit 104 outputs information about the behavior recommended to the user. By outputting information about the behavior recommended to the user from the output unit 104, the user can confirm the information about the recommended behavior. Then, the user can actually perform the recommended behavior. As a result, the user can improve his or her own health.

[0136] In the health management device 10 according to this embodiment, a change in living environment refers to a change in the user's living environment from their normal residence to temporary housing due to a disaster. A disaster may cause the user to move into temporary housing. The layout, facilities, and location of the temporary housing may differ from those of the normal residence. Furthermore, the community the user can participate in may change when the user moves to temporary housing. Furthermore, a disaster may cause changes in the amount of exercise and dietary habits. Such changes due to moving to temporary housing may impose physical or mental strain on the user. As a result, the user's health condition may deteriorate. Therefore, the estimation unit 102 estimates the user's health condition after the change in living environment based on information about the living environment and life log before and after the change. The determination unit 103 then determines behaviors to recommend to the user based on the user's health condition after the change in living environment, thereby promoting the user's health.

[0137] Another example of a change in the living environment is a change in the living environment due to a disaster to a user's home. When a disaster occurs, the user's home may be damaged. However, depending on the extent of the damage, the user may continue to live in the damaged home. In this case, for example, the disaster may affect the home's equipment and surrounding facilities. The user may find themselves in a situation where they cannot use the home's equipment or where their use of the equipment is limited. Furthermore, a disaster may cause changes in the user's lifestyle, for example. In such an environment, the user's health may deteriorate. Therefore, by determining actions that correspond to the user's health condition after the change in living environment as actions to be recommended to the user, it is possible to promote the user's health.

[0138] Another example of a change in the living environment is a change in the living environment due to a user moving. Moving may change, for example, the layout or location of the residence. Moving may also change the community the user participated in. In this case, the user's health condition may worsen. On the other hand, the change in the living environment due to moving may improve the user's health condition. Therefore, if the health condition estimated by the estimation unit 102 is poor, for example, the determination unit 103 can determine an action to improve the user's health condition. Also, if the health condition estimated by the estimation unit 102 of the user is good, the determination unit 103 can determine an action to maintain the user's health condition, for example. As a result, the user's health can be promoted.

[0139] In the health management device 10 according to this embodiment, the information on the user's living environment is information on the living environment that influences the user's behavior. The information on the user's living environment includes at least one of information on the layout of the residence, information on the location, information on facilities, and information on the community. The estimation unit 102 uses the information on the living environment that influences the user's behavior, thereby enabling estimation of the user's health state based on changes in the user's behavior due to changes in the living environment. In other words, the accuracy of the health state estimation by the estimation unit 102 can be improved. Then, the determination unit 103 can determine the behavior to recommend to the user using the more accurate health state. As a result, the user's health can be improved.

[0140] In the health management device 10 according to this embodiment, the life log is information about the user's lifestyle habits. The life log includes at least one of information about exercise history and information about dietary habits. By using the information about the user's lifestyle habits, the estimation unit 102 can estimate the health state taking into account changes in the user's lifestyle habits that accompany changes in the living environment. In other words, the accuracy of the health state estimation by the estimation unit 102 can be improved. Then, the determination unit 103 can determine the behavior to recommend to the user using the more accurate health state. As a result, the user can improve their health.

[0141] [Variations] The modified example will be described in detail with reference to the drawings. Below, the description of the modified example will be omitted to the extent that it does not become unclear.

[0142] The health management device 10 may include an acquisition unit 101, a determination unit 103, and an output unit 104. Fig. 5 is a block diagram showing another example of the configuration of the health management device. The acquisition unit 101 and the output unit 104 are the same as those in the above embodiment.

[0143] When the health management device 10 includes an acquisition unit 101, a determination unit 103, and an output unit 104, the determination unit 103 may determine an action to be recommended to the user based on information about the user's living environment and the user's life log. For example, the determination unit 103 may have the functions of the estimation unit 102 described above. The health state estimation model and the action determination model may be the same model. The method of determining an action to be recommended to the user based on information about the user's living environment and the user's life log is not limited to these.

[0144] In this embodiment, the health management device 10 includes an acquisition unit 101 that acquires information about the user's living environment and the user's life log before and after a change in the living environment. The determination unit 103 then determines a recommended behavior for the user based on the information about the user's living environment and the user's life log. A change in the living environment may worsen the user's health condition. If the health condition estimated by the estimation unit 102 is poor, the determination unit 103 can determine a behavior for improving the user's health condition. As a result, the user's health condition may be improved. Furthermore, a change in the living environment may improve the user's health condition. If the health condition estimated by the estimation unit 102 is good, the determination unit 103 can determine a behavior for maintaining the user's health condition. As a result, the user's health condition may be maintained or further improved. In other words, the determination unit 103 determines a behavior to be recommended to the user based on the user's health condition after the change in the living environment, thereby enabling the user's health condition after the change in the living environment to be improved.

[0145] [Hardware configuration example] 6 is a diagram showing an example of the hardware configuration of health management device 20 according to the present disclosure. Health management device 20 is realized by a computer. Health management device 20 is an example of health management device 10 realized by a computer.

[0146] Health management device 20 includes processor 201, ROM (Read Only Memory) 202, RAM (Random Access Memory) 203, storage device 204 such as a hard disk for storing programs, input / output interface 205 for inputting and outputting data, and communication interface 206 for network connection. Each component is connected via bus 207.

[0147] The processor 201 runs an operating system to control the entire computer. Examples of the processor 201 include a CPU (Central Processing Unit), a DSP (Digital Signal Processor), and a GPU (Graphics Processing Unit). The processor 201 loads a program stored in, for example, a ROM 202 or a storage device 204. The processor 201 then executes each process coded in the program. The processor 201 may execute the processes or instructions in the illustrated flowchart based on the program.

[0148] The ROM 202 stores application programs, programs according to the embodiments, etc. The RAM 203 is used as a work area for the processor 201.

[0149] Examples of the storage device 204 include a semiconductor memory such as a flash memory, a hard disk drive (HDD), etc. The storage device 204 stores, for example, an operating system (OS) program, application programs, and programs according to each embodiment.

[0150] The input / output interface 205 is connected to peripheral devices (not shown) via a wired network or a wireless network.

[0151] The communication interface 206 is connected to a communication network (not shown), such as a LAN (Local Network) or WAN (Wide Area Network), via a wireless or wired network. The communication network may be configured with multiple communication networks. This allows the computer to be connected to external devices via the communication network. The health management device 20 may have components other than those shown in FIG. 6. For example, the health management device 20 may include a drive device or the like. For example, the processor 201 may be attached to a drive device or the like and read programs and data stored in a non-transitory tangible recording medium into the RAM 203.

[0152] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, the configurations in the respective embodiments can be combined with each other without departing from the scope of the present disclosure.

[0153] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes.

[0154] (Appendix 1) an acquisition means for acquiring information on the user's living environment and the user's life log before and after a change in the living environment; an estimation means for estimating a health state of the user after a change in the living environment by using information about the living environment of the user and the life log; A health management device comprising:

[0155] (Appendix 2) A decision means for deciding, as a recommended action to the user, an action according to the health state after the change in the living environment, using a behavior decision model that has learned the relationship between the health state of the user and the action recommended to the user by machine learning. Further equipped 2. The health management device according to claim 1.

[0156] (Appendix 3) The device further includes an output unit for outputting information about the behavior. The health management device according to claim 2.

[0157] (Appendix 4) the estimation means estimates the health state of the user before the change in the living environment; The determining means further determines, as the behavior to be recommended to the user, an action corresponding to the health state before the change in the living environment. 4. The health management device according to claim 2 or 3.

[0158] (Appendix 5) The acquiring means further acquires information on the living environment and a life log of a reference person who lives in a living environment similar to the living environment of the user after the change; The determining means determines the behavior of the person of interest based on the information about the living environment of the person of interest and the life log. 5. A health management device according to any one of appendices 2 to 4.

[0159] (Appendix 6) an acquisition means for acquiring information on the user's living environment and the user's life log before and after a change in the living environment; a decision-making means for deciding an action to be recommended to the user by using a behavioral decision model that has learned by machine learning the relationship between the user's health condition and the action recommended to the user based on information about the user's living environment and the user's life log; A health management device comprising:

[0160] (Appendix 7) The device further includes an output unit for outputting information about the behavior. 7. The health management device according to claim 6.

[0161] (Appendix 8) The method further includes estimating a health state of the user after a change in the living environment using the information on the living environment and the life log, The determining means determines an action to be recommended to the user based on the health condition of the user after the change in the living environment. 8. The health management device according to claim 6 or 7.

[0162] (Appendix 9) the estimation means estimates the health state of the user before the change in the living environment; The determining means further determines, as the behavior to be recommended to the user, an action corresponding to the health state before the change in the living environment. 9. The health management device according to claim 8.

[0163] (Appendix 10) The acquiring means further acquires information on the living environment and a life log of a reference person who lives in a living environment similar to the living environment of the user after the change; The determining means determines the behavior of the person of interest based on the information about the living environment of the person of interest and the life log. 10. The health management device according to any one of appendices 6 to 9.

[0164] (Appendix 11) The change in the living environment is a change in the living environment from the user's normal residence to temporary housing due to the occurrence of a disaster. 11. A health management device according to claim 1 to 10.

[0165] (Appendix 12) The information on the living environment of the user is information on the living environment that influences the behavior of the user. 12. The health management device according to claim 1 to 11.

[0166] (Appendix 13) The information about the living environment of the user includes information about the layout of the user's residence. 13. The health management device according to claim 12.

[0167] (Appendix 14) The information on the living environment of the user includes information on the location of the user's residence. 14. The health management device according to claim 12 or 13.

[0168] (Appendix 15) The information about the living environment of the user includes information about facilities in the user's residence. 15. A health management device according to any one of appendices 12 to 14.

[0169] (Appendix 16) The information about the facilities in the user's residence includes the type and number of facilities. 16. The health management device according to claim 15.

[0170] (Appendix 17) The information about the facilities of the user's residence includes the amount of use of the facilities. 17. The health management device according to claim 15 or 16.

[0171] (Appendix 18) The life log includes information about the user's exercise history. 18. A health management device according to any one of appendices 1 to 17.

[0172] (Appendix 19) The life log includes information about the user's eating habits. 19. A health management device according to any one of appendices 1 to 18.

[0173] (Appendix 20) The change in the living environment is a change in the living environment due to the user's residence being damaged by a disaster. 20. A health management device according to any one of appendices 1 to 19.

[0174] (Appendix 21) The change in the living environment is a change in the living environment due to the user moving. 21. A health management device according to any one of appendices 1 to 20.

[0175] (Appendix 22) The change in the living environment is a change in the user's working environment. 22. A health management device according to any one of appendices 1 to 21.

[0176] (Appendix 23) Acquire information on the user's living environment and the user's life log before and after changes in the living environment, using information about the living environment of the user and the life log, to estimate the health state of the user after the change in the living environment; Health management method.

[0177] (Appendix 24) Acquire information on the user's living environment and the user's life log before and after changes in the living environment, using information about the living environment of the user and the life log, to estimate the health state of the user after the change in the living environment; A program that causes a computer to perform a process.

[0178] (Appendix 25) Acquire information on the user's living environment and the user's life log before and after changes in the living environment, using information about the living environment of the user and the life log, to estimate the health state of the user after the change in the living environment; A recording medium that stores a program that causes a computer to execute a process.

[0179] Some or all of the configurations described in Supplementary Notes 2-22, which are dependent on Supplementary Note 1, may also be dependent on Supplementary Notes 23-25 ​​in the same manner as Supplementary Note 2-22. Not limited to Supplementary Notes 1 and 23-25, some or all of the configurations described as Supplements may also be dependent on various hardware, software, various recording devices for recording software, or systems, within the scope of each of the above-mentioned embodiments. [Explanation of symbols]

[0180] 10, 20 Health management equipment 101 Acquisition Department 102 Estimation part 103 Decision Section 104 Output section 201 processor 202 ROM 203 RAM 204 Storage device 205 Input / Output Interface 206 Communication Interface 207 Bus 91 Residential Sensor 92 Communication terminals 93 databases

Claims

1. an acquisition means for acquiring information on the user's living environment and the user's life log before and after a change in the living environment; an estimation means for estimating a health state of the user after a change in the living environment by using information about the living environment of the user and the life log; A health management device comprising:

2. The change in the living environment is a change in the living environment from the user's normal residence to temporary housing due to the occurrence of a disaster. The health management device according to claim 1 .

3. A decision means for deciding, as a recommended action to the user, an action according to the health state after the change in the living environment, using a behavior decision model that has learned the relationship between the health state of the user and the action recommended to the user by machine learning. Further equipped The health management device according to claim 1 .

4. The information on the living environment of the user is information on the living environment that influences the behavior of the user. The health management device according to claim 1 .

5. The information about the living environment of the user includes information about the layout of the user's residence. The health management device according to claim 4.

6. The information on the living environment of the user includes information on the facilities of the user's residence and information on the location of the user's residence. The health management device according to claim 4.

7. The acquiring means further acquires information on the living environment and a life log of a reference person who lives in a living environment similar to the living environment of the user after the change; The determining means determines the behavior of the person of interest based on the information about the living environment of the person of interest and the life log. The health management device according to claim 3 .

8. the estimation means estimates the health state of the user before the change in the living environment; The determining means further determines, as the behavior to be recommended to the user, an action corresponding to the health state before the change in the living environment. The health management device according to claim 3 .

9. Acquire information on the user's living environment and the user's life log before and after changes in the living environment, using information about the living environment of the user and the life log, to estimate the health state of the user after the change in the living environment; Health management method.

10. Acquire information on the user's living environment and the user's life log before and after changes in the living environment, using information about the living environment of the user and the life log, to estimate the health state of the user after the change in the living environment; A program that causes a computer to perform a process.

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