Proposal system, storage medium, and control device

Abstract

A proposal system (1) comprises: an acquisition unit (220) that acquires body information relating to the body of a user and bathing information relating to bathing of the user; a determination unit (230) that, in accordance with the acquired body information and bathing information, determines behavior information relating to the behavior of the user after bathing; and an output unit (240) that outputs the determined behavior information to the user.

Description

Proposed system, storage medium and control device

[0001] The present invention relates to a proposal system, a storage medium, and a control device.

[0002] BACKGROUND ART Bathtub devices and the like that take into consideration the behavior of bathers (users) after bathing have been known.

[0003] In this regard, Patent Document 1 discloses a bathtub device that controls a heating / cooling device to set the bather's body temperature at an appropriate temperature when the bather is sleeping.

[0004] JP 2024-005763 A

[0005] However, with the technology described in Patent Document 1, the user may feel annoyed by the warming and cooling sensations provided by the heating and cooling device.

[0006] The present invention has been made in consideration of such problems, and its purpose is to provide a suggestion system, storage medium, and control device that can suggest post-bathing activities to a user without causing the user any inconvenience when bathing.

[0007] In order to solve the above problem, the proposed system according to the first aspect of the present invention includes an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing, a determination unit that determines behavioral information about the user's post-bathing behavior based on the acquired physical information and bathing information, and an output unit that outputs the determined behavioral information to the user.

[0008] In addition, in a second aspect of the present invention, the behavioral information includes bedtime information for improving the quality of sleep of the user.

[0009] In addition, in a third aspect of the present invention, the bathing information includes a bathing time or a bathing exit time, and the determination unit determines a bedtime to be recommended as the bedtime information based on the bathing time or the bathing exit time.

[0010] In a fourth aspect of the present invention, the bathing information includes a bathing period, and the determining unit determines a bedtime to be recommended as the bedtime information based on the bathing period.

[0011] In a fifth aspect of the present invention, the bathing information includes a bathing time of the user, and the determination unit determines the bedtime information according to the bathing time.

[0012] In a sixth aspect of the present invention, the bathing information includes an air temperature inside or outside a bathroom where the user takes a bath, and the determination unit determines the sleeping information according to the air temperature.

[0013] In addition, in a seventh aspect of the present invention, the bathing information includes a bathing time or a bathing exit time, and the determination unit determines a wake-up time to be recommended as the bedtime information based on the bathing time or the bathing exit time.

[0014] In an eighth aspect of the present invention, the determining unit determines the bedtime information by referring to an optimal model relating to improvement of sleep quality.

[0015] In addition, in a ninth aspect of the present invention, the optimum model is updated in accordance with sleeping history information relating to past sleeping of the user.

[0016] In addition, in a tenth aspect of the present invention, the optimal model is updated in accordance with bathing history information relating to the user's past bathing.

[0017] In addition, in an eleventh aspect of the present invention, the behavior information includes room temperature information regarding the room temperature in which the user stays after taking a bath.

[0018] In addition, in a twelfth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the room temperature of the room in which the user is staying, which is to be recommended as the room temperature information, based on the water temperature or the bathing duration.

[0019] In a thirteenth aspect of the present invention, the behavior information includes outing information regarding the user going out after taking a bath.

[0020] In addition, in a fourteenth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user bathes and the bathing duration, and the decision unit decides, as the going-out information, whether or not to recommend that the user go out based on the water temperature or the bathing duration.

[0021] In addition, in a fifteenth aspect of the present invention, the behavioral information includes re-bathing information regarding the user's re-bathing after taking a bath.

[0022] In addition, in a sixteenth aspect of the present invention, the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines, as the re-bathing information, whether or not to recommend that the user take a re-bath after bathing, depending on the water temperature or the bathing duration.

[0023] Furthermore, a storage medium according to a seventeenth aspect of the present invention is a non-transitory computer-readable storage medium that records a program that causes a computer to function as an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing, a determination unit that determines bedtime information to improve the quality of the user's sleep based on the acquired physical information and bathing information, and an output unit that outputs the determined bedtime information to the user.

[0024] In addition, a control device according to an eighteenth aspect of the present invention includes an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing, a determination unit that determines bedtime information to improve the quality of the user's sleep based on the acquired physical information and bathing information, and an output unit that outputs the determined bedtime information to the user.

[0025] According to the present invention, it is possible to suggest post-bathing activities to a user without making the user feel bothered when taking a bath.

[0026] FIG. 1 is a diagram showing an example of the overall configuration of a bathroom system according to the present embodiment. FIG. 2 is a perspective view showing an example of the configuration of the bathroom shown in FIG. 1. FIG. 3 is a perspective view showing an example of the configuration of the bathtub shown in FIG. 2A. FIG. 3 is a diagram showing an example of the hardware configuration of a control device according to the first embodiment. FIG. 4 is a diagram showing an example of the functional configuration of a control device according to the first embodiment. FIG. 5 is a diagram showing an example of a first optimum model. FIG. 6 is a diagram showing an example of a second optimum model. FIG. 7 is a flowchart showing an example of the processing flow performed by each functional means shown in FIG. 4 in the proposal system according to the first embodiment. FIG. 8 is a diagram showing an example of an activity information proposal screen in the first embodiment. FIG. 9 is a diagram showing another example of the activity information proposal screen in the first embodiment. FIG. 10 is a flowchart showing an example of the processing flow performed by each functional means in the proposal system according to the second embodiment. FIG. 11 is a flowchart showing an example of the processing flow performed by each functional means in the proposal system according to the third embodiment.

[0027] Hereinafter, several embodiments of the present invention will be described with reference to the accompanying drawings. To facilitate understanding of the description, the same components and steps in each drawing will be designated by the same reference numerals as much as possible, and redundant description will be omitted.

[0028] First Embodiment First, the first embodiment will be described.

[0029] <Overall Configuration> Figure 1 is a diagram showing an example of the overall configuration of a proposal system 1 according to a first embodiment. As shown in Figure 1, the proposal system 1 includes, for example, a bathroom 10, a control device 20, and multiple terminal devices 30. The bathroom 10, the control device 20, and the terminal devices 30 are communicatively connected via a communication network NT such as an intranet, the Internet, or a telephone line. Note that, although Figure 1 shows the proposal system 1 connected to multiple terminal devices 30 via the communication network NT, it may also be connected to a single terminal device 30.

[0030] The bathroom 10 is a unit that includes, for example, a bathtub 12, a shower, a water supply mechanism, a drainage mechanism, and control devices that control each device. The bathroom 10 receives control commands transmitted from the control device 20 via the communications network NT and operates each device according to the received control commands. The bathroom 10 also transmits the status of each device in the bathroom 10 to the control device 20 via the communications network NT. The status of each device includes, for example, the temperature and amount of hot water stored in the bathtub 12, the temperature of hot water supplied from the shower, and the operating status of the water supply mechanism and drainage mechanism. Note that the bathroom 10 may operate each device in response to user input via an input / output device provided separately from the terminal devices 30A-30C.

[0031] The control device 20 is, for example, a computer or server device serving as an information processing device, and provides the results of content execution obtained by executing a program, or the program itself, to users of each of the terminal devices 30A-30C via the communications network NT. The control device 20 also transmits control commands related to operational control of the bathroom 10 to the bathroom 10 via the communications network NT. The control device 20 also acquires information related to the operational status of the bathroom 10 from the bathroom 10 via the communications network NT, and acquires information such as the results of program execution and user input operations on the terminal devices 30A-30C from the terminal devices 30A-30C. The control device 20 is connected (wired or wirelessly) to be able to communicate with the bathroom 10 and the terminal devices 30A-30C.

[0032] The terminal device 30 is an interface device used by the user, and includes an input device (e.g., a touch panel) and an output device (e.g., a display and a speaker). For example, the terminal device 30A is an input / output device that allows the user to control the operation of the bathroom 10 or set the control content. For example, the input device of the terminal device 30A is a button (switch). Note that this input device may also be a cross key or a touch panel display, etc. Also, for example, the terminal device 30B is a smart device used by the user (e.g., a smartphone or a tablet terminal). Also, for example, the terminal device 30C is a smart watch used (worn) by the user. Note that the terminal device 30 may also be a personal computer, a clock, a sleeping device (a bed device or a panel device), etc.

[0033] The terminal device 30 receives input from the user and transmits information including the content of the received input to the control device 20 via the communication network NT. The terminal device 30 also communicates the information transmitted from the control device 20 via the communication network NT to the user by displaying it on a screen, outputting sound, vibrating, or the like.

[0034] <Bathroom Configuration> Figure 2 is a diagram showing an example of the configuration of the bathroom 10 and bathtub 12 according to the first embodiment. Figure 2A is a perspective view showing an example of the configuration of the bathroom 10 shown in Figure 1. Figure 2B is a perspective view showing an example of the configuration of the bathtub 12 shown in Figure 2A. As shown in Figures 2A and 2B, the bathroom 10 is configured to include, for example, the bathtub 12, sensors 14a to 14c, a temperature sensor 15, a signal processing device 16, a remote control 16a, an outlet 17, a water discharge device 18, and a water intake section 19. The water intake section 19 is configured to include a bathtub water discharge outlet 19a and a water intake 19b.

[0035] The bathtub 12 is shaped like a roughly rectangular box in a plan view and is configured to store hot and cold water inside. The inner wall surface that forms one of the short sides of the bathtub 12 is formed as a backrest surface 12a, which is an inner wall surface that is formed so that the user can lean against while bathing. Note that the shape of the main body of the bathtub 12 is roughly rectangular, but is not limited to this and may be any shape. The bathtub 12 is provided with a drain port 17 on the bottom that can be opened and closed by a plug, and when the drain port 17 is open, the hot and cold water stored in the bathtub 12 is discharged to the outside of the bathtub 12.

[0036] The water discharge device 18 is provided on the upper part of the backrest surface 12a of the bathtub 12 and is configured to discharge hot water toward the inside of the bathtub 12. The water discharge device 18 has a flat, wide water outlet 18a extending along the upper edge of the backrest surface 12a and is configured to discharge hot water toward the shoulders of a user leaning against the backrest surface 12a. The water discharge device 18 is also configured to discharge a portion of the hot water drawn in from the water intake 19b through the water outlet 18a. As a result, the hot water in the bathtub 12 is sucked in through the water intake 19b, discharged through the water outlet 18a, and circulated so that it flows into the bathtub 12. Furthermore, a portion of the hot water drawn in from the water intake 19b is also discharged from the bathtub water outlet 19a provided on the backrest surface 12a of the bathtub 12.

[0037] Sensors 14a to 14c are sensors that detect the physical condition of the user while bathing. For example, sensors 14a to 14c detect the user's electrocardiogram signal via the hot and cold water stored in the bathtub 12 based on the potential difference between sensors 14a and 14b. Sensor 14a is, for example, a negative electrode and is located on the backrest surface 12a of the bathtub 12. Sensor 14b is, for example, a positive electrode and is located on the backrest surface 12a of the bathtub 12. Sensor 14c is, for example, an electrode that acquires a reference potential for the potentials detected by sensors 14a and 14b and is located on the backrest surface 12a.

[0038] The sensors 14a to 14c detect (measure) the user's body temperature (skin temperature), heart rate (pulse), blood flow rate, whether the user is bathing (in the bathtub 12), etc. The sensors 14a to 14c may also detect the temperature and amount of water stored in the bathtub 12.

[0039] Temperature sensor 15 is a human presence sensor that is installed inside or outside bathroom 10 and detects the user's body temperature while bathing, before bathing, and after bathing, thereby detecting whether the user has entered (or left) bathroom 10. Temperature sensor 15 also measures the air temperature inside or outside bathroom 10.

[0040] Signal processing device 16 controls the operation of each component of bathroom 10 in accordance with control commands transmitted from control device 20 via communications network NT. Signal processing device 16 is also configured to communicate with remote control 16a and controls the operation of each component of bathroom 10 in accordance with control commands transmitted from remote control 16a. Remote control 16a is an input / output device for operating each component of bathroom 10, and is configured to allow the user to operate, for example, the user's electrocardiogram detection function in bathtub 12 and the water discharge device 18. Signal processing device 16 fills bathtub 12 with water at a temperature and volume in accordance with the control commands transmitted from control device 20, plays music via remote control 16a, and sounds a timer in accordance with the control commands. Bathroom 10 also discharges or stops the discharge of water from water outlet 18a and bathtub water outlet 19a at a temperature and flow rate in accordance with the control commands, in accordance with a sequence in accordance with the control commands transmitted from control device 20.

[0041] <Hardware Configuration> Fig. 3 is a diagram showing an example of the hardware configuration of the control device 20 according to the first embodiment. As shown in Fig. 3, the control device 20 includes, for example, a CPU (Central Processing Unit) 21, a memory 22, a storage device 23, a communication device 24, and an input / output device 25.

[0042] The CPU 21 functions as various functional components by executing predetermined programs stored in the memory 22 or the storage device 23. Details of these functional components will be described later.

[0043] The storage device 23 is configured with a hard disk, a solid state drive, or the like. This storage device 23 stores various programs and various information required for the CPU 21 to execute processes, as well as information on the results of the processes. The storage device 23 is an example of a non-transitory computer-readable storage medium. Other examples of non-transitory computer-readable storage media include magnetic tape, flexible disks, optical disks, digital versatile disks, Blu-ray disks, magneto-optical disks, memory cards, USB memory, and other portable storage media.

[0044] The communication device 24 includes a communication interface for communicating with external devices, and transmits and receives various types of information between the bathroom 10 and the terminal device 30, for example.

[0045] The input / output device 25 receives inputs from the user for operating the control device 20, and displays to the user information provided by the control device 20. The input / output device 25 may be a terminal device 30.

[0046] The control device 20 can be realized using an information processing device such as a dedicated or general-purpose server computer. The control device 20 may be configured from a single information processing device or multiple information processing devices distributed over a communication network NT. Fig. 3 shows only a portion of the main hardware configuration of the control device 20, and the control device 20 may also have other configurations that are generally included in a server.

[0047] <Functional Configuration> Fig. 4 is a diagram showing an example of the functional configuration of the control device 20 according to the first embodiment. As shown in Fig. 4, the control device 20 is configured to include, as functional components, a storage unit 210, an acquisition unit 220, a determination unit 230, an output unit 240, and a control unit 250. Functional means other than the storage unit 210 are realized by the control device 20 executing programs stored in the storage device 23 or the like.

[0048] The storage unit 210 is a functional configuration that stores suggested content 211 and various information to be displayed to the user via the terminal device 30. Specifically, the storage unit 210 stores the suggested content 211, user information 212, a first optimal model 213, and a second optimal model 214.

[0049] The suggested content 211 includes screen data to be displayed on an output device (e.g., a display) of the terminal device 30. In the first embodiment, the suggested content 211 includes, for example, basic screen data (e.g., a screen that does not include suggested bedtimes, wake-up times, other behavioral information, etc.).

[0050] The user information 212 includes basic information, physical information, bathing information, bathing schedule information, bathing history information, sleeping history information, sleeping schedule information, etc., associated with a user ID for each user.

[0051] The basic information includes, for example, the user's name and address, device identification information corresponding to the terminal device 30 used by the user, a telephone number, an email address, etc. This device identification information is, for example, information required to send a push notification to the terminal device 30B or 30C used by the user.

[0052] The physical information includes, for example, the user's body temperature before bathing, body temperature after bathing, body temperature during bathing, heart rate (pulse rate), electrocardiogram waveform, blood flow velocity, respiratory rate, and other information about the user's body that may change with each bathing session, and is predetermined as such information. This physical information is updated each time detection (measurement) is performed by, for example, sensors 14a-14c, temperature sensor 15, terminal device 30C, etc. Furthermore, the physical information includes, for example, trends over a certain period of time (e.g., one hour) regarding the user's body temperature, heart rate (pulse rate), electrocardiogram waveform, blood flow velocity, respiratory rate, etc. during bathing. Note that the physical information may also be information detected by various sensors installed in the toilet, kitchen, or washroom.

[0053] The physical information also includes the user's physique information that the user has registered in advance using the terminal device 30. The physique information is information about the user's body that is predetermined as information that is unlikely to change between bathing sessions, and includes the user's gender, age, height, weight, body fat percentage, BMI (Body Mass Index), presence or absence of illness, average body temperature (normal temperature), average heart rate, etc.

[0054] The bathing information includes information about the user's current bathing, such as the temperature and amount of water stored in the bathtub 12, bathing time, bathing exit time, bathing duration, bathing season, air temperature, and a bathing flag. The bathing information includes, for example, information detected (measured) by the sensors 14a to 14c and the temperature sensor 15. The bathing information is updated, for example, at predetermined intervals (for example, every 10 seconds).

[0055] The hot water temperature and hot water volume include the hot water temperature and hot water volume that are controlled (or are to be controlled) by the control unit 250 .

[0056] The bathing time includes the time when the user takes a bath. Examples of the bathing time include the time when the sensors 14a to 14c detect that the user has started bathing, or the time when the temperature sensor 15 detects that the user has entered the bathroom 10. The bathing time may also be calculated by subtracting the bathing duration from the bathing exit time.

[0057] The bathing exit time includes the time when the user exits the bath. Examples of the bathing exit time include the time when the sensors 14a to 14c detect that the user has finished bathing, or the time when the temperature sensor 15 detects that the user has left the bathroom 10. The bathing exit time may also be calculated by adding the bathing duration to the bathing time.

[0058] The bathing period includes the period during which the user bathes (bathing time). Examples of the bathing period include the period from when the sensors 14a to 14c detect that the user has started bathing to when the user has finished bathing, or the period from when the temperature sensor 15 detects that the user has entered the bathroom 10 to when the user has left the bathroom 10. The bathing period may be calculated, for example, from the difference between the time the user leaves the bath and the time the user starts bathing.

[0059] The bathing period includes, for example, the date, time, and season (spring, summer, autumn, winter) that the user is bathing in. In the first embodiment, the bathing period will be mainly described as the season.

[0060] The temperature includes the temperature inside or outside the bathroom 10 where the user takes a bath. This temperature includes, for example, information measured by the temperature sensor 15.

[0061] The bathing flag indicates whether the user is taking a bath. The bathing flag is set to "TRUE," for example, when the sensors 14a to 14c detect that the user is taking a bath, or when the temperature sensor 15 installed inside or outside the bathroom 10 detects that the user is entering the bathroom 10. On the other hand, the bathing flag is set to "FALSE," for example, when it is not detected that the user is taking a bath, or when the temperature sensor 15 does not detect that the user has entered the bathroom 10.

[0062] The bathing schedule information includes, as information about the user's bathing schedule, the temperature and amount of water to be stored in the bathtub 12 for each current and future date (bathing period), the bathing start time, the bathing exit time, the bathing duration, the air temperature, etc. For example, the bathing schedule information other than the air temperature is information registered in advance by the user. The air temperature includes, for example, the average air temperature.

[0063] The bathing history information includes information about the user's past bathing. For example, the bathing history information includes, for each past date (bathing period), the water temperature and volume, bathing time, bathing exit time, bathing duration, and air temperature when the user bathed. For example, when the date is changed, the bathing history information is updated (shifted) to reflect information that is common to the bathing information (information about the user's current bathing) associated with the previous day.

[0064] The sleeping history information includes information about the user's past sleeping history, such as the time of going to bed, the time of waking up, the time before going to bed, and sleep evaluation information for each past date (bedtime).

[0065] The bedtime and wake-up time are times measured by a terminal device 30 (for example, terminal device 30B or terminal device 30C), for example.

[0066] The time before going to bed is calculated, for example, from the difference between the time of taking a bath and the time of going to bed.

[0067] The sleep evaluation information includes, for example, evaluations related to sleep time, falling asleep, waking up, recovery from fatigue and physical strength, and an overall evaluation. Sleep time is calculated, for example, from the difference between bedtime and wake-up time. The falling asleep, waking up, and recovery from fatigue and physical strength include, for example, three-level evaluations (e.g., good, normal, poor) registered by the user operating the terminal device 30. The overall evaluation includes three-level evaluations (e.g., good, normal, poor) based on an overall evaluation of sleep time, falling asleep, waking up, recovery from fatigue and physical strength, etc.

[0068] The bedtime schedule information includes information about the user's bedtime schedule. For example, the bedtime schedule information includes a bedtime, a wake-up time, etc. for each current and future date. The bedtime schedule information is, for example, information registered in advance by the user.

[0069] The first optimal model 213 includes recommended sleep information related to improving sleep quality for each user, associated with the user ID. For example, the first optimal model 213 is a table including behavioral information related to optimal behaviors for the user after bathing, associated with the user's physical changes and the user's bathing conditions. This behavioral information is stored as information calculated using a predetermined algorithm.

[0070] FIG. 5 is a diagram showing an example of the first optimum model 213.

[0071] As shown in FIG. 5 , the first optimal model 213 includes, for each pattern, recommended bedtime information, room temperature information, outing information, and re-bathing information, as behavioral information, in association with physical changes (changes in physical information) and bathing conditions. For example, the physical changes include the rate of increase in body temperature during, before, and after bathing. This increase rate may include, for example, any one of "high," "normal," and "low." Furthermore, for example, the bathing conditions include, for example, the water temperature, bathing time, bathing duration, and the bathing season (season, date, and time) when the user will bathe. Furthermore, the recommended bedtime information may include, for example, the time before bedtime from the time of leaving the bath to bedtime (the time before bedtime recommended for the user) and the wake-up time (the wake-up time recommended for the user). Note that the recommended bedtime information may also include a recommended bedtime. Furthermore, the room temperature information includes, for example, information regarding the recommended room temperature setting for the room where the user will spend time after bathing. This recommended room temperature setting may include, for example, any one of "cool" and "-." Note that "-" indicates that there is no particular recommended room temperature setting. Furthermore, the room temperature information may further include a temperature when a room temperature is recommended. When the room temperature information includes a temperature, it includes either a temperature (e.g., 20 degrees Celsius) or "-". Furthermore, the going-out information includes, for example, information regarding whether or not to recommend going out after the user has taken a bath. The going-out information includes, for example, either "going out" or "-". "Going out" indicates that going out is recommended. Furthermore, "-" indicates that no particular recommendation is made regarding going out. Furthermore, the going-out information may further include the duration of the going-out period when going out. When the going-out period is included, it includes either the duration of the going-out period (e.g., 30 minutes) or "-". Furthermore, the re-bathing information includes, for example, information regarding whether or not to recommend taking a bath again after the user has taken a bath. The re-bathing information includes, for example, either "re-bathing" or "-". "Re-bathing" indicates that re-bathing is recommended. Furthermore, "-" indicates that no particular recommendation is made regarding re-bathing. The re-bathing information may further include the time from when the bather took a bath until when the bather takes a bath again. When the re-bathing information includes the time until when the bather takes a bath again, the re-bathing information includes either a re-bathing interval (for example, 90 minutes) or "-".

[0072] 4 , the second optimal model 214 includes, for each user, recommended sleep information related to improving the quality of sleep, etc., associated with the user ID. For example, the second optimal model 214 is a table including the user's past bedtime, past sleep evaluation information, and past bathing conditions, and the recommended bedtime information optimal for improving the quality of sleep of the user. This recommended bedtime information is stored as information calculated using a predetermined algorithm based on the user's past bedtime, past sleep evaluation information, past bathing conditions, etc.

[0073] FIG. 6 is a diagram showing an example of the second optimum model 214. As shown in FIG.

[0074] As shown in FIG. 6 , the second optimal model 214 includes recommended bedtime information for each pattern, associated with the user's past bedtime, past sleep evaluation information, and past bathing conditions. For example, the past bedtime and past sleep evaluation information are the same as the bedtime and sleep evaluation information included in the bedtime history information of the user information 212. Also, for example, the past bathing conditions are the same as the water temperature, bathing duration, and bathing exit time included in the bathing history information of the user information 212. Also, the recommended bedtime information includes, for example, the pre-bedtime time from the bath exit time to bedtime (pre-bedtime time recommended to the user). Note that the recommended bedtime information may also include a recommended bedtime.

[0075] 4, the acquisition unit 220 is a functional unit that acquires various information about the user to whom the proposal is made. In the first embodiment, the acquisition unit 220 acquires physical information about the user's body and bathing information about the user's bathing.

[0076] For example, the acquisition unit 220 acquires, as physical information related to the user's body, body temperature (e.g., body temperature before bathing, body temperature after bathing, and changes in body temperature during bathing) from the physical information in the user information 212. The acquisition unit 220 may also acquire physical information directly from the sensors 14a to 14c in the bathroom 10, the temperature sensor 15, the terminal device 30C, etc.

[0077] Furthermore, for example, the acquisition unit 220 acquires bathing information related to the user's bathing, such as the temperature of the water stored (or to be stored) in the bathtub 12, the bathing time, the bathing exit time, the bathing duration, the bathing season, and the air temperature, from the bathing information in the user information 212. The acquisition unit 220 may also acquire the bathing information directly from the sensors 14a to 14c in the bathroom 10 or the terminal device 30C.

[0078] The determination unit 230 is a functional means for determining information to be proposed to the user. In the first embodiment, the determination unit 230 determines behavioral information related to the user's behavior after bathing, based on the physical information and bathing information acquired by the acquisition unit 220. The behavioral information includes, for example, bedtime information, the room temperature information, the outing information, and the re-bathing information. The bedtime information is information for improving sleep quality, and includes, for example, bedtime and wake-up time. Examples of improving sleep quality include improving the ease of falling asleep, waking up, and physical strength and fatigue recovery.

[0079] For example, the determination unit 230 determines a recommended bedtime or wake-up time as bedtime information based on the body temperature (e.g., body temperature before bathing, body temperature after bathing, and temperature change during bathing) included in the physical information acquired by the acquisition unit 220 and the bathing time or bathing exit time included in the bathing information. For example, the determination unit 230 calculates a body temperature increase (fluctuation) due to bathing from the user's body temperature before bathing and the user's body temperature after bathing. Next, the determination unit 230 determines a recommended bedtime or wake-up time based on the calculated body temperature increase and the bathing time or bathing exit time. This recommended bedtime is, for example, based on a standard time (e.g., 90 minutes) from the time of leaving the bath to the time of bedtime (the time it takes for the body temperature to drop to a temperature suitable for bedtime), and is changed (adjusted) depending on the body temperature increase, etc.

[0080] For example, the higher the calculated body temperature rise value, the later the bedtime (the longer the time before bedtime) the determination unit 230 will set. Specifically, if the rise value is 0.5 degrees, the determination unit 230 will determine or provisionally determine the bedtime to be 80 minutes after the bathing time. Also, for example, if the rise value is 1.0 degrees, the determination unit 230 will determine or provisionally determine the bedtime to be 100 minutes after the bathing time. Note that the determination unit 230 may set the bedtime earlier (the longer the time before bedtime) the higher the calculated body temperature rise value.

[0081] Furthermore, for example, the determination unit 230 determines the bedtime recommended as bedtime information according to the bathing duration included in the bathing information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime so that it is later (the time before bed is longer) the longer the bathing duration. Specifically, if the bathing duration is 10 minutes, the determination unit 230 changes the bedtime to 10 minutes later. Also, for example, if the bathing duration is 8 minutes, the determination unit 230 changes the tentatively determined bedtime to 10 minutes earlier. Note that the determination unit 230 may change (adjust) the tentatively determined bedtime so that it is earlier (the time before bed is shorter) the longer the bathing duration.

[0082] Furthermore, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information according to the bathing season included in the bathing information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime so that it is later (the time before bed is longer) the hotter the bathing season. Specifically, if the bathing season is summer, the determination unit 230 changes the bedtime 10 minutes later. Also, for example, if the bathing season is spring or autumn, the determination unit 230 does not change the tentatively determined bedtime. Also, for example, if the bathing season is winter, the determination unit 230 changes the tentatively determined bedtime 10 minutes earlier. Note that the determination unit 230 may change (adjust) the tentatively determined bedtime so that it is earlier (the time before bed is shorter) the hotter the bathing season is.

[0083] Furthermore, for example, the determination unit 230 determines a bedtime recommended as bedtime information according to the temperature included in the bathing information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime so that the higher the temperature when the user takes a bath, the later the tentatively determined bedtime (lengthening the time before bedtime). Specifically, when the temperature is 25 degrees Celsius or higher, the determination unit 230 changes the tentatively determined bedtime to 10 minutes later. Also, for example, when the temperature is 15 degrees Celsius or higher but less than 25 degrees Celsius, the determination unit 230 does not change the tentatively determined bedtime. Also, for example, when the temperature is less than 15 degrees Celsius, the determination unit 230 changes the tentatively determined bedtime to 10 minutes earlier. Note that the determination unit 230 may change (adjust) the tentatively determined bedtime so that the higher the temperature when the user takes a bath, the earlier the tentatively determined bedtime (shortening the time before bedtime).

[0084] Furthermore, for example, the determination unit 230 determines the bedtime recommended as bedtime information based on the bathwater temperature included in the bathing information acquired by the acquisition unit 220. For example, the determination unit 230 modifies (adjusts) the tentatively determined bedtime so that the higher the bathwater temperature when the user takes a bath, the later the tentatively determined bedtime (lengthening the time before bedtime). Specifically, if the bathwater temperature is 42 degrees Celsius or higher, the determination unit 230 modifies the tentatively determined bedtime by 10 minutes. For example, if the bathwater temperature is 39 degrees Celsius or higher but less than 42 degrees Celsius, the determination unit 230 does not modify the tentatively determined bedtime. For example, if the bathwater temperature is less than 39 degrees Celsius, the determination unit 230 modifies the tentatively determined bedtime by 10 minutes earlier. Note that the determination unit 230 may modify (adjust) the tentatively determined bedtime so that the higher the bathwater temperature when the user takes a bath, the earlier the tentatively determined bedtime (shortening the time before bedtime).

[0085] Furthermore, for example, the determination unit 230 determines a bedtime recommended as bedtime information by referring to the first optimal model 213. For example, the determination unit 230 calculates the rate of increase in body temperature during bathing and the rate of increase in body temperature before and after bathing based on the change in body temperature during bathing and the body temperatures before and after bathing included in the bathing information acquired by the acquisition unit 220. Next, the determination unit 230 refers to the user's physical changes and bathing conditions in the first optimal model 213 to identify a pattern (e.g., pattern 1) of the first optimal model 213 that matches the calculated rate of increase in body temperature during bathing (e.g., high) and the rate of increase in body temperature before and after bathing (e.g., high), as well as the water temperature (e.g., 41 degrees Celsius), bathing duration (e.g., 12 minutes), and bathing season (e.g., summer) included in the bathing information acquired by the acquisition unit 220. Next, the determination unit 230 identifies a time before bedtime (e.g., 110 minutes) as recommended bedtime information associated with the identified pattern (e.g., pattern 1). Next, the determination unit 230 adds the identified time before bedtime (e.g., 110 minutes) to the bathing departure time (e.g., 9:30 p.m.) included in the bathing information acquired by the acquisition unit 220, and determines or provisionally determines the bedtime (e.g., 11:20 p.m.) as bedtime information.

[0086] The determination unit 230 also determines the wake-up time recommended as bedtime information, for example, by adding a predetermined time to the recommended bedtime. The determination unit 230 also determines the recommended wake-up time so that the earlier the bathing time included in the bathing information, the earlier the wake-up time. The determination unit 230 also determines the recommended wake-up time so that the earlier the bathing time included in the bathing information, the earlier the wake-up time.

[0087] Furthermore, the determination unit 230 adjusts the wake-up time recommended as bedtime information according to physique information (e.g., height, weight, age, and gender) included in the physical information acquired by the acquisition unit 220. For example, if the user has a small physique, the determination unit 230 adjusts the wake-up time to be 10 minutes earlier. Whether the user has a small physique is determined, for example, by whether the height is equal to or less than a predetermined height (e.g., 165 cm), whether the weight is equal to or less than a predetermined weight (e.g., 55 kg), whether the age is equal to or less than a predetermined age (e.g., 15 years old), whether the gender is female, etc.

[0088] The determination unit 230 also determines the room temperature of the room in which the user is staying, which is recommended as room temperature information, based on, for example, the temperature of the water stored in the bathtub 12 in which the user will be bathing or the duration of the bathing. If the water temperature is high (e.g., 42 degrees Celsius or higher), the determination unit 230 recommends that the user stay in a cool room. If the bathing duration is long (e.g., 12 minutes or longer), the determination unit 230 also recommends that the user stay in a cool room. If, for example, the water temperature is neither high nor the bathing duration is long, the determination unit 230 does not particularly recommend to the user what room temperature the room should be.

[0089] Furthermore, the determination unit 230 determines the room temperature in the room where the user is staying as room temperature information according to physique information (e.g., height, weight, age, and sex) included in the physical information acquired by the acquisition unit 220. If the user has a small physique, the determination unit 230 recommends that the user stay in a cooler room.

[0090] The decision unit 230 also determines, as the going-out information, whether to recommend going out based on, for example, the temperature of the water stored in the bathtub 12 in which the user is bathing or the duration of bathing. The decision unit 230 recommends the user to go out if the water temperature is high (for example, 42 degrees Celsius or higher). The decision unit 230 also recommends the user to go out if the bathing duration is long (for example, 12 minutes or longer). The decision unit 230 does not recommend the user to go out if, for example, the water temperature is neither high nor the bathing duration is long.

[0091] Furthermore, the determination unit 230 determines, as outing information, whether to recommend that the user go out, based on physique information (e.g., height, weight, age, and sex) included in the physical information acquired by the acquisition unit 220. If the user has a small physique, the determination unit 230 recommends that the user go out for a longer period of time than if the user has a large physique.

[0092] The decision unit 230 also determines, as re-bathing information, whether to recommend going out based on, for example, the temperature of the water stored in the bathtub 12 in which the user is bathing or the duration of the bathing. If the water temperature is low (for example, below 40 degrees Celsius), the decision unit 230 recommends the user to take a re-bath after taking a bath. If the bathing duration is short (for example, 8 minutes or less), the decision unit 230 also recommends the user to take a re-bath after taking a bath. If, for example, the water temperature is neither low nor the bathing duration is short, the decision unit 230 does not particularly recommend the user to take a re-bath.

[0093] Furthermore, the determination unit 230 determines, as re-bathing information, whether to recommend the user to re-take a bath, based on physique information (e.g., height, weight, age, and gender) included in the physical information acquired by the acquisition unit 220. If the user has a small physique, the determination unit 230 recommends the user to re-take a bath after a shorter time has elapsed than if the user has a large physique.

[0094] Furthermore, for example, the determination unit 230 determines room temperature information, going-out information, and re-bathing information as behavioral information by referring to the first optimal model 213. For example, the determination unit 230 calculates the rate of increase in body temperature during bathing and the rate of increase in body temperature before and after bathing based on the change in body temperature during bathing and the body temperatures before and after bathing included in the bathing information acquired by the acquisition unit 220. Next, the determination unit 230 refers to the user's physical changes and bathing conditions in the first optimal model 213, and identifies a pattern (e.g., pattern 1) of the first optimal model 213 that matches the calculated rate of increase in body temperature during bathing (e.g., high) and the rate of increase in body temperature before and after bathing (e.g., high), as well as the water temperature (e.g., 41 degrees Celsius), bathing duration (e.g., 12 minutes), and bathing season (e.g., summer) included in the bathing information acquired by the acquisition unit 220. Next, the determining unit 230 identifies room temperature information (for example, cool down), going out information (for example, going out), and re-bathing information (for example, -) as the behavior information associated with the identified pattern (for example, pattern 1).

[0095] The output unit 240 is a functional means for outputting information to the user. In the first embodiment, the output unit 240 outputs the behavioral information determined by the determination unit 230 to the user. For example, the output unit 240 displays a screen on the output device (display) of the terminal device 30. Specifically, the output unit 240 reflects the behavioral information determined by the determination unit 230 in the suggested content 211 and displays an behavioral information proposal screen that proposes sleeping information and other behavioral information on the output device of the terminal device 30. Note that the output unit 240 may display the behavioral information proposal screen on the output device of the terminal device 30B or the terminal device 30C by sending a push notification to the terminal device 30B or the terminal device 30C. Furthermore, the output process performed by the output unit 240 is not limited to presenting data in a form that the user can see, and may also include a process of creating data in a form that the user cannot see.

[0096] The control unit 250 is a functional means that controls the entire proposal system 1. In the first embodiment, the control unit 250 controls the water temperature and amount. The control unit 250 also updates the physical information, bathing information, sleep history information, bathing history information, etc. of the user information 212 based on information detected (measured) by the sensors 14a to 14c, the temperature sensor 15, the terminal device 30C, etc. The control unit 250 also updates the bathing schedule information in response to a registration instruction from the user.

[0097] Furthermore, for example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 (optimum models). For example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 of the user in accordance with sleeping history information relating to the user's past sleeping (sleeping history information in the user information 212). In other words, the first optimum model 213 and the second optimum model 214 are updated in accordance with the sleeping history information relating to the user's past sleeping.

[0098] Specifically, the control unit 250 calculates statistical information (e.g., average time) of pre-bedtime times for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information. Next, if the calculated pre-bedtime statistical information (e.g., average time) is longer than a first predetermined time (e.g., 100 minutes), the control unit 250 lengthens the recommended bedtime information (pre-bedtime times) associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214. Examples of such some or all patterns include patterns in which the recommended bedtime information (pre-bedtime times) are shorter than a reference time (e.g., 90 minutes). On the other hand, if the calculated pre-bedtime statistical information (e.g., average time) is shorter than a second predetermined time (e.g., 80 minutes), the control unit 250 shortens the recommended bedtime information (pre-bedtime times) associated with some or all of the patterns of the first optimal model 213 and second optimal model 214. An example of this partial or complete pattern is a pattern in which the recommended bedtime information (time before bedtime) exceeds a reference time (for example, 90 minutes).

[0099] Furthermore, when statistical information (e.g., average time) of bedtimes in the bedtime history information is earlier than a first predetermined time (e.g., 8:00 p.m.), the control unit 250 shortens the recommended bedtime information (time before bedtime) associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214. Examples of some or all of these patterns include a pattern in which the recommended bedtime information (time before bedtime) exceeds a reference time (e.g., 90 minutes). Furthermore, when statistical information (e.g., average time) of bedtimes in the bedtime history information is later than a second predetermined time (e.g., 11:00 p.m.), the control unit 250 lengthens the recommended bedtime information (time before bedtime) associated with some or all of the patterns of the first optimal model 213 and the second optimal model 214. Examples of some or all of these patterns include a pattern in which the recommended bedtime information (time before bedtime) is less than a reference time (e.g., 90 minutes).

[0100] Furthermore, for example, the control unit 250 updates the first optimum model 213 and the second optimum model 214 (optimum models) of the user in accordance with bathing history information about the user's past bathing (bathing history information in the user information 212). In other words, the first optimum model 213 and the second optimum model 214 are updated in accordance with bathing history information about the user's past bathing.

[0101] Specifically, when statistical information (e.g., average time) of bathing times in the bathing history information is earlier than a first predetermined time (e.g., 6:00 PM), the control unit 250 lengthens the recommended bedtime information (time before bedtime) associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214. Furthermore, for example, when statistical information (e.g., average time) of bathing times in the bathing history information is later than a second predetermined time (e.g., 10:00 PM), the control unit 250 shortens the recommended bedtime information (time before bedtime) associated with some or all of the patterns of the user's first optimal model 213 and second optimal model 214.

[0102] <Processing Flow> Fig. 7 is a flowchart showing an example of the processing flow performed by each functional unit shown in Fig. 4 in the proposal system 1 according to the first embodiment. The processing of the following steps is started, for example, when the user's bathing is detected (when the bathing flag becomes "TRUE"). The order and content of the following steps can be changed as appropriate.

[0103] (Step SP10) The control unit 250 determines whether the user has left the bath. For example, the control unit 250 refers to the bathing information in the user information 212 and makes a positive determination if the bathing flag has changed from "TRUE" to "FALSE." If the determination is positive, the process proceeds to step SP12. On the other hand, if the determination is negative, the process proceeds to step SP10.

[0104] (Step SP12) After the user's post-bath body temperature is detected, i.e., after the post-bath body temperature in the physical information in the user information 212 is updated, the acquisition unit 220 acquires the physical information (e.g., the body temperature before and after bathing, the temperature change during bathing, etc.), and then the process proceeds to step SP14.

[0105] (Step SP14) The acquisition unit 220 acquires the bathing information from the user information 212. Then, the process proceeds to step SP16.

[0106] (Step SP16) The determination unit 230 determines behavioral information based on the physical information acquired in step SP12 and the bathing information acquired in step SP14. For example, the determination unit 230 calculates the increase (fluctuation) in body temperature due to bathing from the user's body temperature before and after bathing, which are included in the physical information. Next, the determination unit 230 provisionally determines a recommended user behavior based on the calculated increase in body temperature and the bathing time or the bathing exit time. The recommended user behavior may include, for example, when to go to bed (bedtime), when to wake up (wake-up time), whether to stay in a cool room, whether to recommend going outside, and whether to recommend re-bathing. Next, the determination unit 230 modifies the provisionally determined user behavior based on the bathing duration, bathing season, and temperature, which are included in the bathing information, and determines the behavioral information. Then, the process proceeds to step SP18.

[0107] (Step SP18) The output unit 240 reflects the behavioral information determined in step SP16 in the suggested content 211 and generates a behavioral information suggestion screen that suggests behavioral information to the user during or after bathing. Next, the output unit 240 displays the generated behavioral information suggestion screen on the output device of the terminal device 30.

[0108] Fig. 8A is a diagram showing an example of the activity information proposal screen 2110 according to the first embodiment, and Fig. 8B is a diagram showing another example of the activity information proposal screen 2110 according to the first embodiment.

[0109] As shown in FIGS. 8A and 8B , the behavioral information proposal screen 2110 has a proposal information area 2112. The proposal information area 2112 in FIG. 8A displays an image indicating a bedtime and a wake-up time recommended for the user. The proposal information area 2112 in FIG. 8B displays an image indicating a room temperature recommended for the user, the need to go outside, and the need to take a bath again. In this example, the behavioral information proposal screen 2110 is configured to separately display bedtime information and behavioral information other than bedtime information, but this is not limited to this. The behavioral information proposal screen 2110 may also be configured to display both bedtime information and behavioral information other than bedtime information on a single screen.

[0110] Then, the series of processes shown in FIG. 7 ends.

[0111] <Effects> In the first embodiment, the proposed system 1 includes an acquisition unit 220 that acquires physical information about the user's body and bathing information about the user's bathing, a determination unit 230 that determines behavioral information about the user's behavior after bathing based on the acquired physical information and bathing information, and an output unit 240 that outputs the determined behavioral information to the user.

[0112] This configuration allows the user to take a bath according to their own wishes and convenience, and to receive suggestions for post-bathing activities based on the user's physical information and bathing information. Therefore, post-bathing activities can be suggested to the user without causing the user any inconvenience when taking a bath.

[0113] In the first embodiment, the behavior information includes bedtime information for improving the quality of the user's sleep.

[0114] This configuration allows the user to take a bath according to their own wishes and convenience, and can receive suggestions of bedtime information based on the user's physical information and bathing information. Therefore, it is possible to suggest bedtime information to improve the quality of sleep without causing the user any inconvenience when taking a bath.

[0115] In the first embodiment, the bathing information includes a bathing time or a bathing exit time, and the determining unit 230 determines a bedtime to be recommended as bedtime information according to the bathing time or the bathing exit time.

[0116] This configuration allows users to take a bath according to their own wishes and convenience, and can receive bedtime suggestions based on bathing time or bathing exit time. Therefore, it is possible to suggest bedtime information to improve the quality of sleep without bothering the user when taking a bath.

[0117] In the first embodiment, the bathing information includes a bathing period, and the determining unit 230 determines a bedtime to be recommended as bedtime information based on the bathing period.

[0118] This configuration allows the user to take a bath according to their own wishes and convenience, and to receive bedtime suggestions based on the bathing period. Therefore, it is possible to suggest bedtime information to improve the quality of sleep without bothering the user when taking a bath.

[0119] In the first embodiment, the bathing information includes the user's bathing time, and the determination unit 230 determines the bedtime information according to the bathing time.

[0120] According to this configuration, it is possible to provide the user with bedtime information according to the bathing time, thereby improving the quality of sleep.

[0121] In the first embodiment, the bathing information includes the temperature inside or outside the bathroom 10 where the user takes a bath, and the determination unit 230 determines the sleeping information according to the temperature.

[0122] According to this configuration, it is possible to suggest bedtime information to the user according to the temperature at the time of bathing, thereby improving the quality of sleep.

[0123] In the first embodiment, the bathing information includes a bathing time or a bathing exit time, and the determination unit 230 determines a wake-up time to be recommended as bedtime information according to the bathing time or the bathing exit time.

[0124] This configuration allows the user to take a bath according to their own wishes and convenience, and can receive suggestions for wake-up times that correspond to bathing times or bathing exit times. Therefore, bedtime information can be suggested to improve the quality of sleep without bothering the user when taking a bath.

[0125] In the first embodiment, the determination unit 230 determines the bedtime information by referring to an optimal model related to improvement of sleep quality.

[0126] This configuration makes it possible to provide the user with optimal suggestions for improving the quality of their sleep.

[0127] In the first embodiment, the optimum model is updated in accordance with the sleeping history information relating to the user's past sleeping habits.

[0128] According to this configuration, the optimal model is updated in accordance with the sleeping history information relating to the user's past sleeping habits, so that sleeping information suited to the sleeping characteristics of the user can be proposed.

[0129] In addition, in the first embodiment, the optimum model is updated according to bathing history information relating to the user's past bathing.

[0130] According to this configuration, the optimal model is updated according to bathing history information relating to the user's past bathing, so that bedtime information suited to the user's bathing characteristics can be proposed.

[0131] In the first embodiment, the behavior information includes room temperature information about the room temperature in which the user stays after taking a bath.

[0132] This allows the user to take a bath according to their own wishes and convenience, and can receive room temperature information suggestions based on the user's physical and bathing information. This allows the user to be advised of the best room temperature to spend time in after bathing, without causing the user any inconvenience when bathing.

[0133] In the first embodiment, the bathing information includes the temperature of the water stored in the bathtub 12 in which the user will bathe and the bathing duration. The determination unit 230 determines the room temperature of the room in which the user is staying, which is to be recommended as room temperature information, based on the water temperature or the bathing duration.

[0134] This allows the user to take a bath according to their own wishes and convenience, and can receive suggestions on room temperature information according to the water temperature and bathing duration. This allows the user to be advised of the best room temperature to spend time in after bathing without feeling inconvenienced by the bathing experience.

[0135] In the first embodiment, the behavior information includes outing information regarding the user going out after taking a bath.

[0136] This configuration allows the user to take a bath according to their own wishes and convenience, and can receive suggestions about going out based on the user's physical information and bathing information. Therefore, the user can be advised whether or not to go out after taking a bath without feeling inconvenienced.

[0137] In the first embodiment, the bathing information includes the temperature of the water stored in the bathtub 12 in which the user will bathe and the bathing duration. The determination unit 230 determines, as the going-out information, whether to recommend the user to go out, based on the water temperature or the bathing duration.

[0138] This allows the user to take a bath according to their own wishes and convenience, and can receive suggestions about going out based on the user's bath temperature and bathing period. Therefore, the user can be advised whether or not to go out after bathing without feeling inconvenienced.

[0139] In addition, in the first embodiment, the behavior information includes re-bathing information regarding the user's re-bathing after taking a bath.

[0140] This allows the user to take a bath according to their own wishes and convenience, and can receive suggestions on re-bathing information based on the user's physical information and bathing information. Therefore, it is possible to suggest to the user whether or not to re-bathe after taking a bath without causing the user any inconvenience when taking a bath.

[0141] In the first embodiment, the bathing information includes the temperature of the water stored in the bathtub 12 in which the user will bathe and the bathing duration. The determination unit 230 determines, as re-bathing information, whether to recommend the user to re-bathe after the previous bath, based on the water temperature or the bathing duration.

[0142] This allows the user to take a bath according to their own wishes and convenience, and can receive suggestions on re-bathing information based on the user's physical information and bathing information. Therefore, it is possible to suggest to the user whether or not to re-bathe after taking a bath without causing the user any inconvenience when taking a bath.

[0143] --Second Embodiment--- Next, a second embodiment will be described.

[0144] The second embodiment differs from the first embodiment in that the acquisition unit 220 acquires sleeping history information and bathing history information, and the determination unit 230 determines sleeping information based on the acquired sleeping history information and bathing history information. Note that the configuration and functions of the proposal system 1 according to the second embodiment, which are not described below, are similar to the configuration and functions of the proposal system 1 according to the first embodiment.

[0145] In the second embodiment, the acquisition unit 220 acquires sleeping history information related to the user's past sleeping and bathing history information related to the user's past bathing. For example, the acquisition unit 220 acquires sleeping schedule information related to the user's bedtime schedule, bathing information related to the user's current bathing, and bathing schedule information related to the user's bathing schedule. For example, the acquisition unit 220 also acquires physical information related to the user's body.

[0146] For example, the acquisition unit 220 acquires the bedtime, wake-up time, time before bedtime, sleep evaluation information, etc. for each past date from the sleeping history information of the user information 212. Also, for example, the acquisition unit 220 acquires the water temperature and amount of water, bathing time, bathing exit time, bathing duration, air temperature, etc. when the user bathed for each past date from the bathing history information of the user information 212.

[0147] Furthermore, for example, the acquisition unit 220 acquires the bedtime, wake-up time, etc. for the current date from the planned bedtime information in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc. from the bathing information in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc. for the current date from the planned bathing information in the user information 212.

[0148] Furthermore, for example, the acquisition unit 220 acquires body temperature (for example, body temperature before and after bathing, and changes in body temperature during bathing) from the physical information of the user information 212 .

[0149] In the second embodiment, the determination unit 230 determines bedtime information for improving the quality of sleep of the user based on the bedtime history information and bathing history information acquired by the acquisition unit 220 .

[0150] For example, the determination unit 230 determines the bedtime to be recommended as bedtime information based on the pre-bedtime and sleep evaluation information included in the bedtime history information acquired by the acquisition unit 220, and the bathing time (or bathing exit time) and bathing duration included in the bathing history information.

[0151] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for a date on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information, statistical information (e.g., average time) of the bathing time included in the bathing history information for that date, and statistical information (e.g., average time) of the bathing period. Next, the determination unit 230 determines or provisionally determines as the recommended bedtime the time obtained by adding the calculated statistical information (e.g., average time) of the bathing period and the calculated statistical information (e.g., average time) of the time before bedtime to the calculated statistical information (e.g., average time) of the bathing time.

[0152] Furthermore, for example, the determination unit 230 determines or provisionally determines a bedtime to be recommended as bedtime information based on the bathing time or bathing exit time included in the bathing information or bathing schedule information acquired by the acquisition unit 220, and the time before bedtime and sleep evaluation information included in the sleep history information.

[0153] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleep history information. Then, the determination unit 230 determines or provisionally determines as the recommended bedtime the time obtained by adding the calculated statistical information (e.g., average time) of the time before bedtime to the bathing time included in the bathing information or bathing schedule information.

[0154] Furthermore, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information according to the bathing duration included in the bathing information or bathing schedule information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be later (the time before bedtime is longer) the longer the bathing duration included in the bathing information or bathing schedule information. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the longer the bathing duration included in the bathing information or bathing schedule information.

[0155] Furthermore, for example, the determination unit 230 determines bedtime information according to the bathing time (e.g., the current date) when the user will take a bath, which is included in the bathing information or bathing schedule information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be later (the time before bedtime is longer) the hotter the bathing time included in the bathing information or bathing schedule information is. Note that the determination unit 230 may change (adjust) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the hotter the bathing time included in the bathing information or bathing schedule information is.

[0156] Furthermore, for example, the determination unit 230 determines the bedtime information according to the temperature (temperature inside or outside the bathroom 10) included in the bathing information or bathing schedule information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be later (the time before bedtime is longer) the higher the temperature included in the bathing information or bathing schedule information. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the higher the temperature included in the bathing information or bathing schedule information.

[0157] Furthermore, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information according to the water temperature included in the bathing information or bathing schedule information acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be later (the time before bedtime is extended) the higher the water temperature included in the bathing information or bathing schedule information. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be earlier (the time before bedtime is shortened) the higher the water temperature included in the bathing information or bathing schedule information.

[0158] Furthermore, for example, the determination unit 230 determines a bedtime to recommend as bedtime information by referring to the second optimal model 214. For example, the determination unit 230 identifies a pattern (e.g., pattern 180) of the second optimal model 214 in which the bedtime included in the bedtime schedule information acquired by the acquisition unit 220 and the water temperature, bathing duration, and bathing exit time included in the bathing information or bathing schedule information acquired by the acquisition unit 220 match or are similar to the user's past bedtime and past bathing conditions (water temperature, bathing duration, and bathing exit time) in the second optimal model 214. Next, the determination unit 230 identifies the time before bedtime (e.g., 80 minutes) associated with the identified pattern (e.g., pattern 180). Next, the determination unit 230 adds the identified time before bedtime (e.g., 80 minutes) to the bathing time (e.g., 9:00 p.m.) included in the bathing information or bathing schedule information acquired by the acquisition unit 220, and determines or provisionally determines the bedtime (e.g., 10:20 p.m.) as bedtime information.

[0159] Furthermore, for example, the determination unit 230 determines the bedtime information according to the physical information acquired by the acquisition unit 220. For example, the determination unit 230 modifies (adjusts) the bedtime so that the bedtime is delayed (the time before bed is lengthened) the higher the rise in body temperature calculated from the body temperature included in the physical information (e.g., the body temperature before bathing, the body temperature after bathing, and the change in body temperature during bathing). Note that the determination unit 230 may also modify (adjust) the provisionally determined bedtime so that the bedtime is advanced (the time before bed is shortened) the higher the rise in body temperature calculated from the body temperature included in the physical information (e.g., the body temperature before bathing, the body temperature after bathing, and the change in body temperature during bathing).

[0160] 9 is a flowchart showing an example of the flow of processing performed by each functional unit in the proposal system 1 according to the second embodiment. Note that the order and content of the following steps can be changed as appropriate.

[0161] (Step SP20) The control unit 250 determines whether a predetermined time has arrived. This predetermined time may be, for example, a time preset in the proposal system 1 (e.g., 6:00 p.m.) or a time preset by the user. If the determination is affirmative, the process proceeds to step SP22. On the other hand, if the determination is negative, the process proceeds to step SP20.

[0162] (Step SP22) The acquisition unit 220 acquires bathing history information from the user information 212. Then, the process proceeds to step SP24.

[0163] (Step SP24) The acquisition unit 220 acquires the sleeping history information from the user information 212. Then, the process proceeds to step SP26.

[0164] (Step SP26) The determination unit 230 determines bedtime information based on the bathing history information acquired in step SP22 and the sleeping history information acquired in step SP24. For example, the determination unit 230 determines a recommended bedtime as bedtime information based on the bathing time and bathing duration included in the bathing history information, and the pre-bedtime and sleep evaluation information included in the sleeping history information. Specifically, the determination unit 230 calculates the average pre-bedtime time for dates on which the overall evaluation of the sleep evaluation information is "good" in the sleeping history information, the average bathing time and average bathing duration included in the bathing history information for those dates. Next, the determination unit 230 determines the recommended bedtime as the time obtained by adding the calculated average bathing time, the calculated average bathing duration, and the calculated average pre-bedtime time. Then, the process proceeds to step SP28.

[0165] (Step SP28) The output unit 240 reflects the bedtime determined in step SP26 in the suggested content 211 and generates a bedtime information suggestion screen that suggests bedtime information to the user. Next, the output unit 240 displays the generated bedtime information suggestion screen on the output device of the terminal device 30. This bedtime information suggestion screen is similar to the screen shown in FIG. 8, for example.

[0166] Then, the series of processes shown in FIG. 9 ends.

[0167] <Effects> In the second embodiment, the proposed system 1 includes an acquisition unit 220 that acquires sleeping history information related to the user's past sleeping and bathing history information related to the user's past bathing, a determination unit 230 that determines sleeping information for improving the quality of the user's sleep based on the acquired sleeping history information and bathing history information, and an output unit 240 that outputs the determined sleeping information to the user.

[0168] This configuration allows the user to take a bath according to their own wishes and convenience, and can receive suggestions of sleeping information based on the user's sleeping history information and bathing history information. Therefore, sleeping information can be suggested to improve the quality of sleep without bothering the user when taking a bath.

[0169] In addition, in the second embodiment, the acquisition unit 220 acquires bathing information regarding the user's bathing or bathing schedule information regarding the user's bathing schedule, and the determination unit 230 determines the bedtime to be recommended as bedtime information based on the bathing time or bathing exit time included in the bathing information or bathing schedule information.

[0170] This configuration allows the user to take a bath according to their own wishes and convenience, and can receive bedtime suggestions based on the bathing time or exit time included in the bathing information or bathing schedule information. Therefore, bedtime suggestions can be provided to improve the quality of sleep without bothering the user when taking a bath.

[0171] In the second embodiment, the determination unit 230 determines a bedtime to be recommended as bedtime information based on the bathing period included in the bathing information or the bathing schedule information.

[0172] This configuration allows users to take a bath according to their own wishes and convenience, and can receive bedtime suggestions based on the bathing period included in the bathing information or bathing schedule information. Therefore, it is possible to suggest bedtime information to improve the quality of sleep without bothering the user when taking a bath.

[0173] In the second embodiment, the determination unit 230 determines the bedtime information according to the bathing time included in the bathing information or the bathing schedule information.

[0174] According to this configuration, it is possible to provide the user with bedtime information according to the bathing time, thereby improving the quality of sleep.

[0175] In the second embodiment, the determination unit 230 determines the bedtime information based on the temperature inside or outside the bathroom 10 included in the bathing information or bathing schedule information.

[0176] According to this configuration, it is possible to suggest bedtime information to the user according to the temperature at the time of bathing, thereby improving the quality of sleep.

[0177] In the second embodiment, the determination unit 230 determines the bedtime information by referring to an optimal model related to improvement of sleep quality.

[0178] This configuration makes it possible to provide the user with optimal suggestions for improving the quality of their sleep.

[0179] In the second embodiment, the optimum model is updated in accordance with the sleeping history information.

[0180] According to this configuration, the optimal model is updated in accordance with the sleeping history information relating to the user's past sleeping habits, so that sleeping information suited to the sleeping characteristics of the user can be proposed.

[0181] In the second embodiment, the optimal model is updated according to bathing history information.

[0182] According to this configuration, the optimal model is updated according to bathing history information relating to the user's past bathing, so that bedtime information suited to the user's bathing characteristics can be proposed.

[0183] In the second embodiment, the acquisition unit 220 acquires physical information relating to the user's body, and the determination unit 230 determines the sleeping information according to the physical information.

[0184] According to this configuration, it is possible to propose to the user bedtime information according to the physical information, thereby improving the quality of sleep of the user.

[0185] ---Third Embodiment--- Next, a third embodiment will be described.

[0186] The third embodiment differs from the first and second embodiments in that the acquisition unit 220 acquires the sleeping history information and bathing history information of the first user, the determination unit 230 determines the sleeping information to be proposed to the second user based on the acquired sleeping history information and bathing history information, and the output unit 240 outputs (proposes) the sleeping information to the second user. The first and second users are different users who, for example, have the same or similar characteristics in one or more of gender, age, height, weight, body fat percentage, and BMI index. Note that the configuration and functions of the proposal system 1 according to the third embodiment, which are not described below, are similar to those of the proposal system 1 according to the first and second embodiments.

[0187] In the third embodiment, the acquisition unit 220 acquires sleeping history information related to the first user's past sleeping and bathing history information related to the first user's past bathing. Furthermore, for example, the acquisition unit 220 acquires sleeping schedule information related to the second user's sleeping schedule, bathing information related to the second user's current bathing, and bathing schedule information related to the second user's bathing schedule. Furthermore, for example, the acquisition unit 220 acquires physical information related to the second user's body.

[0188] For example, the acquisition unit 220 acquires the bedtime, wake-up time, time before bedtime, sleep evaluation information, and the like for each past date from the sleep history information corresponding to the first user in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature and amount of water, bathing time, bathing exit time, bathing duration, air temperature, and the like for each past date when the first user took a bath from the bathing history information of the first user in the user information 212.

[0189] Furthermore, for example, the acquisition unit 220 acquires the bedtime, wake-up time, etc. for the current date from the second user's planned bedtime information in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc. from the second user's bathing information in the user information 212. Furthermore, for example, the acquisition unit 220 acquires the water temperature and volume, bathing time, bathing exit time, bathing duration, air temperature, etc. for the current date from the second user's planned bathing information in the user information 212.

[0190] Furthermore, for example, the acquisition unit 220 acquires body temperature (for example, body temperature before and after bathing, and changes in body temperature during bathing) from the physical information of the second user in the user information 212.

[0191] In the third embodiment, the determination unit 230 determines sleeping information for improving the quality of sleep of the second user based on the acquired sleeping history information and bathing history information.

[0192] For example, the determination unit 230 determines or provisionally determines a bedtime to be recommended as bedtime information to the second user based on the pre-bedtime and sleep evaluation information contained in the first user's bedtime history information acquired by the acquisition unit 220, and the bathing time or bathing exit time contained in the first user's bathing history information.

[0193] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for a date on which the overall evaluation of the sleep evaluation information is "good" in the first user's sleep history information, and statistical information (e.g., average time) of the time to leave the bath included in the first user's bathing history information for that date. Next, the determination unit 230 determines or provisionally determines as the bedtime recommended to the second user the time obtained by adding the calculated statistical information (e.g., average time) of the time before bedtime to the calculated statistical information (e.g., average time) of the time to leave the bath.

[0194] Also, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information based on the bathing time or bathing exit time included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220.

[0195] Specifically, the determination unit 230 calculates statistical information (e.g., average time) of the time before bedtime for dates on which the overall evaluation of the sleep evaluation information is "good" in the first user's sleep history information. Next, the determination unit 230 determines or provisionally determines as the recommended bedtime for the second user the time obtained by adding the calculated statistical information (e.g., average time) of the time before bedtime to the bathing time included in the bathing information or bathing schedule information of the second user.

[0196] Furthermore, for example, the determination unit 230 determines a bedtime to recommend as bedtime information according to the bathing duration included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be later (the time before bedtime is longer) the longer the bathing duration included in the bathing information or bathing schedule information of the second user. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the longer the bathing duration included in the bathing information or bathing schedule information of the second user.

[0197] Furthermore, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information according to the bathing period included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the colder the bathing period included in the bathing information or bathing schedule information of the second user. Note that the determination unit 230 may change (adjust) the tentatively determined bedtime to be later (the time before bedtime is longer) the colder the bathing period included in the bathing information or bathing schedule information of the second user.

[0198] Furthermore, for example, the determination unit 230 determines a bedtime to be recommended as bedtime information based on the temperature inside or outside the bathroom 10 included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the lower the water temperature included in the bathing information or bathing schedule information of the second user. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be later (the time before bedtime is longer) the lower the water temperature included in the bathing information or bathing schedule information of the second user.

[0199] Furthermore, for example, the determination unit 230 determines a bedtime to recommend as bedtime information according to the water temperature included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 changes (adjusts) the tentatively determined bedtime to be earlier (the time before bedtime is shorter) the lower the water temperature included in the bathing information or bathing schedule information of the second user. Note that the determination unit 230 may also change (adjust) the tentatively determined bedtime to be later (the time before bedtime is longer) the lower the water temperature included in the bathing information or bathing schedule information of the second user.

[0200] Furthermore, for example, the determination unit 230 determines a bedtime to recommend as bedtime information by referring to the second optimal model 214 associated with the first user. For example, the determination unit 230 identifies a pattern (e.g., pattern 1) of the second optimal model 214 in which the bedtime included in the bedtime schedule information of the first user acquired by the acquisition unit 220 and the water temperature, bathing duration, and bathing exit time included in the bathing information or bathing schedule information of the second user acquired by the acquisition unit 220 match or are similar to the past bedtime and past bathing conditions (water temperature, bathing duration, and bathing exit time) in the second optimal model 214 of the second user. Next, the determination unit 230 identifies the time before bedtime (e.g., 90 minutes) associated with the identified pattern (e.g., pattern 1). Next, the determination unit 230 adds the identified time before bedtime (e.g., 90 minutes) to the bathing time (e.g., 9:30 p.m.) included in the second user's bathing information or bathing schedule information acquired by the acquisition unit 220, and determines or provisionally determines the bedtime (e.g., 11:00 p.m.) as bedtime information.

[0201] Furthermore, for example, the determination unit 230 determines the bedtime information according to the physical information of the second user acquired by the acquisition unit 220. For example, the determination unit 230 modifies the tentatively determined bedtime so that the higher the body temperature calculated from the body temperature included in the physical information (e.g., body temperature before bathing, body temperature after bathing, and changes in body temperature during bathing), the later the tentatively determined bedtime (the longer the time before bedtime). Note that the determination unit 230 may also modify the tentatively determined bedtime so that the higher the body temperature calculated from the body temperature included in the physical information (e.g., body temperature before bathing, body temperature after bathing, and changes in body temperature during bathing), the earlier the tentatively determined bedtime (the shorter the time before bedtime).

[0202] In the third embodiment, the output unit 240 outputs to the second user the sleeping information determined by the determination unit 230. For example, the output unit 240 displays a sleeping information proposal screen on the output device (display) of the terminal device 30 used by the second user.

[0203] 10 is a flowchart showing an example of the flow of processing performed by each functional unit in the proposal system 1 according to the third embodiment. Note that the order and content of the following steps can be changed as appropriate.

[0204] (Step SP30) The control unit 250 determines whether a predetermined time has arrived. This predetermined time may be, for example, a time preset in the proposal system 1 (e.g., 6:00 p.m.) or a time preset by the second user. If the determination is affirmative, the process proceeds to step SP32. On the other hand, if the determination is negative, the process proceeds to step SP30.

[0205] (Step SP32) The acquisition unit 220 acquires the physical information of all users in the user information 212. Next, the control unit 250 extracts one first user who has the same or similar one or more of the gender, age, height, weight, body fat percentage, and BMI index as the second user included in the acquired physical information. Then, the processing proceeds to step SP34.

[0206] (Step SP34) The acquisition unit 220 acquires the bathing history information of the first user extracted in step SP32. For example, the acquisition unit 220 acquires the bathing history information of the first user from the user information 212. Then, the processing proceeds to step SP36.

[0207] (Step SP36) The acquisition unit 220 acquires the sleeping history information of the first user extracted in step SP32. For example, the acquisition unit 220 acquires the sleeping history information of the first user from the user information 212. Then, the processing proceeds to step SP38.

[0208] (Step SP38) The determination unit 230 determines bedtime information based on the first user's bathing history information acquired in step SP34 and the first user's sleeping history information acquired in step SP36. For example, the determination unit 230 determines a bedtime to recommend as bedtime information based on the bathing time included in the first user's bathing history information and the pre-bedtime and sleep evaluation information included in the first user's sleeping history information. Specifically, the determination unit 230 calculates the average pre-bedtime time for dates on which the overall evaluation of the sleep evaluation information is "good" in the first user's sleeping history information and the average bathing time included in the bathing history information for those dates. Next, the determination unit 230 adds the calculated average bathing time to the calculated average pre-bedtime time to determine the recommended bedtime for the second user. Then, the process proceeds to step SP40.

[0209] (Step SP40) The output unit 240 reflects the bedtime determined in step SP38 in the suggested content 211 and generates a bedtime information proposal screen that proposes bedtime information to the second user. Next, the output unit 240 displays the generated bedtime information proposal screen on the output device of the terminal device 30 used by the second user. This bedtime information proposal screen is similar to the screen shown in FIG. 8, for example.

[0210] Then, the series of processes shown in FIG. 10 ends.

[0211] <Effects> As described above, the third embodiment includes an acquisition unit 220 that acquires sleeping history information related to the first user's past sleeping and bathing history information related to the first user's past bathing, a determination unit 230 that determines sleeping information for improving the quality of sleep of a second user different from the first user based on the acquired sleeping history information and bathing history information, and an output unit 240 that outputs the determined sleeping information to the second user.

[0212] With this configuration, the user (second user) can take a bath according to his / her wishes and convenience, and can receive suggestions of sleeping information based on the sleeping history information and bathing history information of another user (first user). Therefore, sleeping information for improving the quality of sleep can be suggested without bothering the user when taking a bath.

[0213] In addition, in the third embodiment, the acquisition unit 220 acquires bathing information regarding the second user's bathing or bathing schedule information regarding the bathing schedule, and the determination unit 230 determines the bedtime to be recommended as bedtime information based on the bathing time or bathing exit time included in the bathing information or bathing schedule information.

[0214] This configuration allows the user (second user) to take a bath according to their own wishes and convenience, and can receive bedtime suggestions based on the bathing time or exit time included in the user's bathing information or bathing schedule information. Therefore, bedtime suggestions can be provided to improve the quality of sleep without bothering the user when taking a bath.

[0215] In the third embodiment, the determination unit 230 determines a bedtime to be recommended as bedtime information based on the bathing period included in the bathing information or the bathing schedule information.

[0216] With this configuration, the user (second user) can take a bath according to his / her wishes and convenience, and can receive bedtime suggestions based on the bathing period included in the user's bathing information or bathing schedule information. Therefore, bedtime suggestions for improving the quality of sleep can be provided without bothering the user when taking a bath.

[0217] In the third embodiment, the determination unit 230 determines the bedtime information according to the bathing time included in the bathing information or the bathing schedule information.

[0218] According to this configuration, it is possible to suggest bedtime information to the user (second user) according to the bathing time, thereby improving the quality of sleep.

[0219] In the third embodiment, the determination unit 230 determines the bedtime information based on the temperature inside or outside the bathroom 10 included in the bathing information or bathing schedule information.

[0220] According to this configuration, it is possible to suggest bedtime information to the user (second user) according to the temperature at the time of bathing, thereby improving the quality of sleep.

[0221] In the third embodiment, the determination unit 230 determines the bedtime information by referring to an optimal model related to improvement of sleep quality.

[0222] According to this configuration, it is possible to provide the user (second user) with optimal suggestions for improving the quality of sleep.

[0223] In the third embodiment, the optimum model is updated in accordance with sleeping history information relating to the past sleeping of the user (second user).

[0224] According to this configuration, the optimal model is updated according to the sleeping history information relating to the user's (second user's) past sleeping habits, and therefore, sleeping information suited to the user's sleeping characteristics can be proposed.

[0225] In addition, in the third embodiment, the optimum model is updated according to bathing history information regarding the second user's past bathing.

[0226] According to this configuration, the optimal model is updated according to bathing history information relating to the user's (second user's) past bathing, so that bedtime information suited to the user's bathing characteristics can be proposed.

[0227] In the third embodiment, the acquisition unit 220 acquires physical information related to the body of the second user, and the determination unit 230 determines the sleeping information according to the physical information.

[0228] According to this configuration, it is possible to propose sleeping information to the user (second user) according to the physical information, thereby improving the quality of sleep of the user.

[0229] In the third embodiment, the first user and the second user are users who are the same or similar in one or more of gender, age, height, weight, body fat percentage, and BMI index.

[0230] According to this configuration, it is possible to suggest to the user (second user) sleeping information based on the sleeping history information and bathing history information of another user (first user) who has the same or similar physical information, thereby improving the quality of sleep of the user.

[0231] <Modifications> The present invention is not limited to the above-described embodiments. In other words, variations on the above-described embodiments, which are appropriately modified by a person skilled in the art, are also included within the scope of the present invention as long as they include the features of the present invention. Furthermore, the elements of the above-described embodiments and the modifications described below can be combined to the extent technically possible, and such combinations are also included within the scope of the present invention as long as they include the features of the present invention.

[0232] For example, in the first embodiment, the control device 20 is described as being provided separately from the terminal device 30A, but it may also be integrated with the terminal device 30A. For example, the output device (e.g., a display) of the terminal device 30A displays the current date and time and the time elapsed since the user started bathing (entering the bathroom 10). The terminal device 30A may also play an alarm when the bathing period included in the bathing schedule information has elapsed since the user started bathing. The terminal device 30A may also play music while the user is bathing and stop playing the music when the bathing period included in the bathing schedule information has elapsed since the user started bathing.

[0233] In addition, in the first embodiment, the bathroom 10 is described as being composed of sensors 14a to 14c, a temperature sensor 15, etc., but a sensor that detects the activity level of the user's brain may also be provided.

[0234] In the first embodiment, the case where behavioral information is proposed to a user who has just finished bathing has been described, but behavioral information may also be proposed to a user before or during bathing. For example, the determination unit 230 may determine the recommended bedtime and wake-up time, the room temperature of the room to spend time in after bathing, going out, and re-bathing as behavioral information based on the bathing time and other information included in the bathing schedule information, and the output unit 240 may propose behavioral information to a user before or during bathing.

[0235] In the first embodiment, the physical changes of the first optimal model 213 include the rate of increase in body temperature during bathing and before and after bathing. However, the physical changes may also include the rate of increase in heart rate (pulse) and blood flow velocity during bathing and before and after bathing. For example, the determination unit 230 refers to the physical changes of the first optimal model 213 and the bathing conditions, and identifies a pattern of the first optimal model 213 that matches the calculated rate of increase in heart rate during bathing (e.g., high) and the rate of increase in heart rate before and after bathing (e.g., high), as well as the water temperature, bathing duration, and bathing time included in the bathing information acquired by the acquisition unit 220. Next, the determination unit 230 identifies a time before bedtime as recommended bedtime information associated with the identified pattern. Next, the determination unit 230 determines a bedtime as bedtime information by adding the identified time before bedtime to the bath exit time included in the bathing information acquired by the acquisition unit 220. The determination unit 230 determines the wake-up time as bedtime information by adding a predetermined time to the bedtime. Furthermore, the determination unit 230 determines room temperature information, going-out information, and re-bathing information as behavior information other than the bedtime information associated with a predetermined specified pattern.

[0236] In the first embodiment and other examples, the bathing information and planned bathing information include the temperature and volume of the water, the bathing time, and the bathing exit time. However, the information may also include the pH and quality of the water, the amount of components (whether bath additives are used), the brightness of the bathroom 10 (the brightness of the lighting), and the humidity inside and outside the bathroom 10. For example, if the determination unit 230 determines that bath additives are used based on the amount of components in the water, it lengthens the pre-bedtime period from the bathing exit time to bedtime. Furthermore, for example, if the brightness of the bathroom 10 is below a predetermined value, the determination unit 230 shortens the pre-bedtime period from the bathing exit time to bedtime. Furthermore, for example, if the humidity is equal to or greater than a predetermined value, the determination unit 230 lengthens the pre-bedtime period from the bathing exit time to bedtime.

[0237] Although the first embodiment and the like have described cases where the bedtime information is a bedtime, the present invention is not limited to this. For example, the bedtime information may include a recommended bedtime, the type of sleepwear or bedding, the environment of the bedroom or living room (room temperature, humidity, lighting control), the time when electronic devices that emit blue light (smartphones, personal computers, televisions, etc.) may be used, foods and drinks, types of stretching, types of massages, etc.

[0238] Furthermore, in the first embodiment and the like, the statistical information is described as an average value (average time, average time, etc.), but it may be a median, a mode, or the like.

[0239] In addition, in the first embodiment and the like, the determination unit 230 has been described as determining the sleeping information by referring to the first optimal model 213 and the second optimal model 214, but the sleeping information may also be determined by AI (Artificial Intelligence), a predetermined algorithm, or a predetermined calculation formula.

[0240] In the first embodiment and the like, the determining unit 230 has been described as changing (adjusting) the time before bedtime (the time it takes for the body temperature to drop to a level suitable for bedtime) in accordance with the bathing information (e.g., bathing period, bathing time, air temperature, water temperature, etc.) acquired by the acquiring unit 220, but the determining unit 230 may also directly determine the bedtime in accordance with the bathing information.

[0241] In the first embodiment and the like, the first optimal model 213 and the second optimal model 214 are described as tables including recommended sleeping information, behavioral information, and the like for each user, but they may be tables shared by multiple users. Examples of the multiple users include all users who use the proposed system 1, users of the same gender, and users with similar ages, heights, weights, body fat percentages, and BMIs.

[0242] In the third embodiment, the control unit 250 extracts one first user who is identical to or similar in gender, age, etc. to the second user. However, multiple first users may be extracted. In this case, the determination unit 230 calculates the average time before bedtime included in the sleep history information of each of the multiple first users on dates on which the overall evaluation of the sleep evaluation information is "good." Next, the determination unit 230 tentatively determines, as the bedtime, the time obtained by adding the calculated average time before bedtime to the bathing time included in the bathing schedule information of the second user.

Claims

1. A proposal system comprising: an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing; a determination unit that determines behavioral information about the user's post-bathing behavior based on the acquired physical information and bathing information; and an output unit that outputs the determined behavioral information to the user.

2. The suggestion system according to claim 1, wherein the behavioral information includes bedtime information for improving the user's sleep quality.

3. The proposal system described in claim 2, wherein the bathing information includes a bathing time or a bathing exit time, and the determination unit determines the bedtime to be recommended as the bedtime information based on the bathing time or the bathing exit time.

4. The proposal system according to claim 3, wherein the bathing information includes a bathing period, and the determination unit determines the bedtime to be recommended as the bedtime information based on the bathing period.

5. The proposal system according to claim 4, wherein the bathing information includes the user's bathing time, and the determination unit determines the bedtime information according to the bathing time.

6. The proposal system according to claim 4, wherein the bathing information includes the temperature inside or outside the bathroom where the user takes a bath, and the determination unit determines the sleeping information according to the temperature.

7. The proposal system described in claim 2, wherein the bathing information includes a bathing time or a bathing exit time, and the determination unit determines a wake-up time to be recommended as the bedtime information based on the bathing time or the bathing exit time.

8. The proposal system according to claim 2, wherein the determination unit determines the bedtime information by referring to an optimal model for improving sleep quality.

9. The proposal system according to claim 8, wherein the optimal model is updated according to sleep history information relating to the user's past sleep experiences.

10. The proposal system according to claim 9, wherein the optimal model is updated according to bathing history information relating to the user's past bathing.

11. The proposal system according to claim 1, wherein the behavioral information includes room temperature information regarding the room temperature in which the user stays after taking a bath.

12. The proposal system described in claim 11, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user will bathe and the bathing duration, and the determination unit determines the room temperature of the room in which the user is staying, to be recommended as the room temperature information, based on the water temperature or the bathing duration.

13. The proposal system according to claim 1, wherein the behavioral information includes outing information regarding the user going out after taking a bath.

14. The proposal system described in claim 13, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user bathes and the bathing duration, and the decision unit determines whether or not to recommend that the user go out as the outing information based on the water temperature or the bathing duration.

15. The proposal system of claim 1, wherein the behavioral information includes re-bathing information regarding the user's re-bathing after taking a bath.

16. The proposal system described in claim 15, wherein the bathing information includes the temperature of the water stored in the bathtub in which the user bathes and the bathing duration, and the decision unit determines, as the re-bathing information, whether or not to recommend that the user take a re-bath after bathing, depending on the water temperature or the bathing duration.

17. A non-transitory computer-readable storage medium that records a program that causes a computer to function as: an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing; a determination unit that determines behavioral information about the user's post-bathing behavior based on the acquired physical information and bathing information; and an output unit that outputs the determined behavioral information to the user.

18. A control device comprising: an acquisition unit that acquires physical information about a user's body and bathing information about the user's bathing; a determination unit that determines behavioral information about the user's behavior after bathing based on the acquired physical information and bathing information; and an output unit that outputs the determined behavioral information to the user.

Images