Health management system and health management method

Abstract

A health management system according to an embodiment of the present invention is provided with: a defecation information acquisition unit that acquires defecation information corresponding to defecation of a user; a defecation state determination unit that determines, on the basis of the defecation information acquired by the defecation information acquisition unit, a defecation property of the defecation corresponding to the defecation information; a display unit which can be viewed by the user; and a display processing unit that executes processing for displaying the defecation characteristics determined by the defecation state determination unit as time series data on the display unit. The display processing unit is capable of switching the display for each predetermined period, and executes a process for displaying a predetermined number of patterns with more frequencies of the defecation character patterns in the predetermined period on the display unit.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to a health management system and a health management method. Background Art

[0002] Conventionally, there has been disclosed a system that displays the properties of feces (also referred to simply as "feces") excreted by a user sitting on a toilet seat and visualizes the state of the feces in time series (for example, see Patent Document 1).

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent document 1: Japanese Patent Application Publication No. 2021-51449. Summary of the invention

[0006] Problems to be solved by the invention

[0007] However, the above-mentioned prior art has room for improvement. For example, in the above-mentioned prior art, the user's feces are only counted and displayed according to each type (shape), and it is difficult to think that the information provided brings great convenience to the user. Therefore, there is room for improvement in providing information related to the user's feces.

[0008] An object of the embodiments of the present disclosure is to provide a health management system and a health management method that can provide appropriate information related to a user's bowel movements.

[0009] Means used to solve problems

[0010] A health management system according to one embodiment of the present invention is characterized in that it comprises: a defecation information acquisition unit, which acquires defecation information corresponding to the defecation of a user; a defecation status determination unit, which determines the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information acquired by the defecation information acquisition unit; a display unit, which can be viewed by the user; and a display processing unit, which executes a process for displaying the defecation characteristics determined by the defecation status determination unit as time series data on the display unit, wherein the display processing unit can switch the display according to each specified period and execute a process for displaying a specified number of patterns with a high frequency of defecation characteristics patterns within the specified period on the display unit.

[0011] According to a health management system of one embodiment, if all the information is displayed during a specified period, the trend will not be understood. Therefore, by recording representative values, the trend can be easily grasped and correct health information can be conveyed. In this way, the health management system can provide appropriate information related to the user's stool. For example, if the stool properties, especially the color or type (shape), etc. are displayed as, for example, average values ​​according to each period, they may sometimes become (be changed) to stool properties different from the measurement results. In addition, in general, even if the defecation status is listed in the process of grasping the daily trend, it is sometimes difficult for the user to understand which state is the ideal state. In addition, when arranged in chronological order, due to the large amount of information, it is sometimes difficult for the user to grasp the defecation trend at a glance. However, according to the health management system, the display can be switched according to each specified period, and the information can be displayed in an appropriate manner by displaying a specified number of styles with a large frequency of defecation property patterns within a specified period.

[0012] In the health management system according to one aspect of the embodiment, the display processing unit executes processing for displaying on the display unit in a switchable manner according to day, week, month, and year.

[0013] According to the health management system of one aspect of the embodiment, it is possible to grasp the trend at the timing (period) that the user wants to see. Therefore, the health management system can provide appropriate information related to the user's bowel movements.

[0014] In a health management system according to one embodiment, the display processing unit performs processing for displaying on the display unit a specified number of patterns with high frequency among patterns corresponding to bowel movement characteristics within the specified period, at least when displaying by month or year.

[0015] According to the health management system of one aspect of the embodiment, even when there is a lot of data on a weekly, monthly, or yearly basis, the user can easily grasp the trend. Therefore, the health management system can provide appropriate information related to the user's needs.

[0016] In the health management system according to one aspect of the embodiment, the display processing unit displays all defecation characteristics of the user determined by the defecation state determination unit at least in the case of daily display.

[0017] According to the health management system of one aspect of the embodiment, since all data are displayed on a daily basis, the user can grasp the correct trend. Therefore, the health management system can provide appropriate information related to the user's bowel movements.

[0018] In a health management system of one embodiment, the bowel movement status determination unit determines the bowel movement characteristics, which include the type, amount, and color of the bowel movement, and the display processing unit performs processing to display the bowel movement on the display unit in a style corresponding to a combination of the type, amount, and color.

[0019] According to the health management system of one aspect of the embodiment, since the three important characteristics of stool are set as items, the user can grasp the correct trend. Therefore, the health management system can provide appropriate information related to the user's stool.

[0020] In the health management system according to one aspect of the embodiment, the display processing unit executes a process of displaying the pattern on the display unit based on a priority order of the type, the amount, and the color.

[0021] According to a health management system of one embodiment, a better state is prioritized to display the health state at the top. For example, the health management system prioritizes the type of stool over the color (for example, type 4 is prioritized over yellow), thereby being able to prioritize information and prompt it to the user. Therefore, the health management system can provide appropriate information related to the user's stool.

[0022] A health management method according to one embodiment of the present invention is characterized in that it includes the following steps: a defecation information acquisition step for acquiring defecation information corresponding to the user's defecation; a defecation status determination step for determining the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information acquired by the defecation information acquisition step; and a display processing step for displaying the defecation characteristics determined by the defecation status determination step as time series data on a display unit that can be viewed by the user, wherein the display processing step can switch the display according to each specified period and display a specified number of defecation characteristics patterns with a high frequency within the specified period on the display unit.

[0023] In the display of a specified period, if all are displayed, the trend will not be understood. Therefore, by recording representative values, the trend can be easily grasped and correct health information can be conveyed. In this way, the health management system can provide appropriate information related to the user's bowel movements. For example, if the bowel characteristics, especially the color or type (appearance), etc. are displayed as, for example, average values ​​according to each period, they may sometimes become (be changed) to bowel characteristics different from the measurement results. In addition, in general, even if the bowel movement status is listed in the process of grasping the daily trend, it is sometimes difficult for the user to understand which state is the ideal state. In addition, when arranged in chronological order, due to the large amount of information, it is sometimes difficult for the user to grasp the bowel movement trend at a glance. However, according to the health management system, the display can be switched according to each specified period, and the information can be displayed in an appropriate manner by displaying a specified number of styles with a large frequency of bowel movement characteristics within a specified period.

[0024] A health management system according to one embodiment of the present invention is characterized in that the device comprises: a defecation information acquisition unit, which acquires defecation information corresponding to the defecation of a user; a defecation status determination unit, which determines the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information acquired by the defecation information acquisition unit; a display unit, which can be viewed by the user; and a display processing unit, which performs processing for displaying the defecation characteristics determined by the defecation status determination unit as time series data on the display unit, wherein the defecation status determination unit determines the type, amount, and color of the stool, and the display processing unit performs the following processing: a time series display of the stool is performed by making a graph in which the horizontal axis corresponds to time and the vertical axis corresponds to the type of stool, and the color of each point included in the graph represents the color of the stool, and the size of each point represents the amount of stool.

[0025] According to a health management system of one embodiment, a time series display of stool is performed by a chart in which the horizontal axis corresponds to time and the vertical axis corresponds to the type of stool, and the color of each point included in the chart represents the color of the stool, and the size of each point represents the amount of stool. By displaying the time series in a manner that is intuitively easy for the user to recognize, such as the color or size of the point, it is possible to easily grasp the trend of defecation along the time series and convey correct health information. In this way, the health management system can provide appropriate information related to the user's stool.

[0026] Effects of the Invention

[0027] According to one aspect of the embodiment, it is possible to provide appropriate information related to the user's defecation. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1is a schematic perspective view of a toilet system according to an embodiment;

[0029] Figure 2 is a schematic side view of a toilet system according to an embodiment;

[0030] Figure 3 is a diagram showing a configuration example of a health management system according to an embodiment;

[0031] Figure 4 It is a schematic diagram showing the calculation process of various health indicators based on the measurement results of the biosensor;

[0032] Figure 5 This is a diagram showing an example of a method for calculating a numerical value;

[0033] Figure 6 This is a diagram showing an example of a method for calculating a numerical value;

[0034] Figure 7 This is a diagram showing an example of a method for calculating a numerical value;

[0035] Figure 8 is a flowchart showing an example of the sequence of processing executed by the health management system;

[0036] Fig. 9 is a diagram showing an example of display of a health score;

[0037] Fig.10 is a diagram showing an example of display of health-related information;

[0038] Fig.11 is a diagram showing a display example corresponding to a period;

[0039] Fig.12 This is a diagram showing an example of the priority order of stool characteristics;

[0040] Fig.13 is a diagram showing an example of a time series display of stool;

[0041] Fig.14 is a diagram showing an example of an explanation display of stool characteristics;

[0042] Fig.15 is a diagram showing an example of a time series display of a health indicator;

[0043] Fig.16 This is a diagram showing an example of a time series display of health indicators. DETAILED DESCRIPTION

[0044] Hereinafter, the embodiments of the health management system and the health management method disclosed in the present application will be described in detail with reference to the accompanying drawings. It should be noted that the present invention is not limited to the embodiments shown below.

[0045] <1. Structure of the health management system>

[0046] Reference Figures 1 to 3 , the structure of the health management system of the implementation method is explained. Figure 1 It is a schematic perspective view of the toilet system according to the embodiment. Figure 2 It is a schematic side view of the toilet system according to the embodiment. Figure 3 It is a diagram showing a configuration example of a health management system according to an embodiment.

[0047] The health management system 1 of each embodiment described below measures (also referred to as "determination") various information related to the user (user) through sensors, and calculates a health score based on the measured (determined) information. It should be noted that the processing described below with the health management system 1 as the processing subject can be performed by one of the devices that can perform the processing according to the device structure included in the health management system 1.

[0048] like Figure 3 As shown, the health management system 1 comprises: a toilet 10 including a biosensor 40, a seat sensor 50, and a defecation sensor 60; a control unit 100; and an external terminal 200. The health management system 1 may include a plurality of toilets 10 or a plurality of control units 100 or a plurality of external terminals 200. It should be noted that Figure 3 The device configuration shown is only an example. For example, the health management system 1 may include a server device that provides information used by the control unit 100 to calculate various information such as a health score to the control unit 100.

[0049] First, the structure of the toilet 10 will be described, including the schematic appearance (physical structure) of the toilet 10 as an example of a toilet system. Figure 1 and Figure 2 As shown, the toilet 10 includes a toilet seat 20, a main body 12, and a toilet seat cover 14. The toilet seat 20 and the toilet seat cover 14 are axially supported by the main body 12 so as to be rotatable relative to the main body 12.

[0050] In addition, if Figure 3As shown, the toilet 10 includes a biosensor 40, a seat sensor 50, a defecation sensor 60, and a timing unit 70. The details will be described later. The biosensor 40 is a sensor for detecting (acquiring) the biological information of the user, the seat sensor 50 is a sensor for detecting the user's sitting, and the defecation sensor 60 is a sensor for detecting the user's defecation (also called "feces"). For example, the biosensor 40 is a laser sensor for measuring a physical quantity reflecting the user's blood flow information, and the defecation sensor 60 is a camera device (imaging sensor) for photographing the user's defecation. The biosensor 40 and the seat sensor 50 are provided on the toilet seat 20, and the defecation sensor 60 is provided on the main body 12. It should be noted that the details of the biosensor 40, the seat sensor 50, and the defecation sensor 60 will be described later.

[0051] like Figure 1 As shown, the toilet seat 20 has an opening 20a. An O-shaped opening 20a is formed in the central portion of the toilet seat 20. The opening of the toilet seat 20 is not limited to the O-shape, and may be a U-shape or the like. The outer edge of the toilet seat 20 is formed by bending along the outer shape of the toilet bowl 4. The toilet seat 20 is generally formed of an opaque resin material (e.g., polypropylene), and has a seat surface 21 for a user to sit on and a bottom surface 25 located on the opposite side of the seat surface 21.

[0052] The seat surface 21 is the surface of the toilet seat 20 that is exposed upward when placed on the upper surface 4b of the toilet bowl 4, and is the surface on which the user sits. The bottom surface 25 is the surface of the toilet seat 20 that is opposite to the upper surface 4b of the toilet bowl 4 when the toilet seat 20 is placed down. In addition, the toilet seat 20 is generally formed thick as a whole, and a portion (also referred to as a "thin-walled portion") that is thinner than other portions is partially formed at a position corresponding to the biosensor 40.

[0053] It should be noted that the toilet seat 20 may be provided with heating wires and heat-insulating materials for heating or even keeping the seat surface 21 warm. The heating wires are controlled by a toilet seat heating unit provided in the main body 12, and are distributed throughout the toilet seat 20 in a manner that does not interfere with the biosensor 40, the seat sensor 50, and the defecation sensor 60. The heat-insulating material is disposed below the heating wires, the biosensor 40, and the seat sensor 50.

[0054] The position (thin-walled portion) of the toilet seat 20 corresponding to the biosensor 40 is formed to have a thickness that allows the irradiation light irradiated by the biosensor 40 and the reflected light reflected by the user sitting on the seat surface 21 to pass through. The thickness of the thin-walled portion is set according to the intensity of the irradiation light and the reflected light of the biosensor 40 and the durability of the toilet seat 20, and is, for example, about 0.5 mm to 1.0 mm.

[0055] In the following description, “above”, “below”, “front”, “rear”, “left”, and “right” respectively refer to directions when viewed from a user sitting on the toilet seat 20 with his / her back facing the opened toilet seat lid 14 .

[0056] The thin-walled portion is formed on the left front side of the center of the length of the opening 20a of the toilet seat 20 in the front-rear direction, and is located on the left front side of the center of gravity of the user sitting on the toilet seat 20. Figure 2 As shown, the thin-walled portion and the user sitting on the toilet seat 20 ( Figure 2 The inner side of the left thigh of the user U1) is opposite to (contacted with). Figure 2 2 shows a state where the user U1 holds the external terminal 200 with his left hand.

[0057] The thin-walled portion is formed as small as possible within a range in which the biosensor 40 can detect blood flow information of a user sitting on the toilet seat 20, for example, in a circular shape with a diameter of 12 mm or less (preferably 8 mm or less).

[0058] In addition, the main body 12 is located further back than the bowl of the toilet 4 and is mounted on the upper surface 4b of the toilet 4. The main body 12 has built-in: a switch unit that controls the switch action between the toilet seat 20 and the toilet seat cover 14; a toilet seat heating unit that controls the temperature of the toilet seat 20; a washing unit that washes the human body; and a deodorizing unit that reduces odor components. For example, each unit 12a to 12d is controlled by the control unit 100. For example, the defecation sensor 60 is set at a position facing the bowl of the toilet 4 from the main body 12 and at a position that does not interfere with each unit 12a to 12d.

[0059] The biosensor 40 functions as a bio-information acquisition unit that acquires bio-information. For example, the biosensor 40 is a laser sensor that acquires blood flow information of the user as the bio-information of the user. Figure 1 and Figure 2 As shown, the biosensor 40 is disposed on the back side of the thin-walled portion inside the toilet seat 20. The biosensor 40 is a reflective sensor that irradiates infrared light toward the inner side of the user's left thigh and detects reflected light (scattered light with Doppler shift caused by red blood cells) reflected according to the blood flow state in the blood vessels under the skin.

[0060] For example, the biosensor 40 is a laser sensor that can measure the blood flow state in the skin based on the dynamic light scattering method. Figure 2 In the embodiment, the biosensor 40 is attached to the toilet seat 20 on the inner side of the thigh of the user.

[0061] It should be noted that the blood flow information is only an example, and any sensor can be used for the biosensor 40 according to the biological information to be obtained. For example, when obtaining information related to the heart rhythm (pulse wave) of the user as the biological information of the user, the biosensor 40 can be a heart rhythm sensor. In addition, when obtaining information related to the breathing of the user as the biological information of the user, the biosensor 40 can be a breathing sensor. In addition, when obtaining information related to the pulse (pulse wave) of the user as the biological information of the user, the biosensor 40 can be a pulse sensor. In addition, when obtaining information related to the movement of the heart of the user as the biological information of the user, the biosensor 40 can be an electrocardiogram sensor.

[0062] The biosensor 40 is connected to the control unit 100 in a communicative manner via a prescribed network by wire or wireless. The biosensor 40 sends various information to the control unit 100. For example, the biosensor 40 sends the acquired biological information of the user to the control unit 100. For example, the biosensor 40 can be connected to the control unit 100 in a communicative manner via a prescribed wireless communication function such as Bluetooth (registered trademark) or Wi-Fi (registered trademark). It should be noted that the control unit 100 and the biosensor 40 can be connected in any manner as long as they can send and receive information, and can be connected in a communicative manner by wire or by wireless. For example, the biosensor 40 can be connected to the control unit 100 in a communicative manner by wire or by wireless via the communication unit 190.

[0063] The seat sensor 50 has a function of detecting a person sitting on the toilet seat 20. The seat sensor 50 detects that a user sits (is seated) on the toilet seat 20. The seat sensor 50 can detect that a user sits on the toilet seat 20. The seat sensor 50 also functions as a seat leaving detection sensor that detects that a user leaves the toilet seat 20. The seat sensor 50 detects the user's seated state on the toilet seat 20.

[0064] For example, the seat sensor 50 is an electrostatic sensor. Figure 1 and Figure 2 As shown, the seat sensor 50 is formed on the right front side of the center of the length of the opening 20a of the toilet seat 20 in the front-back direction, and is located on the right front side of the center of gravity of the user sitting on the toilet seat 20. Thus, when the seat sensor 50 is opposite to (contacting) the inner side of the right thigh of the user sitting on the toilet seat 20, the seat state can be detected.

[0065] It should be noted that the case where the seat sensor 50 is an electrostatic sensor is only an example, and the seat sensor 50 may be any detection method and may be arranged at any place as long as it can detect the user's sitting on the toilet seat 20. For example, when the seat sensor 50 is an infrared or μ (micro) wave distance sensor and detects the sitting by distance, the seat sensor 50 may be arranged to detect the position of the person's legs from the side of the toilet 4 or to detect the position of the person's back from the water tank attached to the toilet 4. For example, when the seat sensor 50 detects the sitting by distance, it may be arranged on the ceiling of the space (bathroom) where the toilet 4 is installed. In addition, for example, when the seat sensor 50 is a contact switch and detects the sinking of the toilet seat caused by sitting, the seat sensor 50 may be arranged on the shaft support part of the toilet seat 20. In addition, for example, when the seat sensor 50 is a weight sensor and detects the sitting by the weight applied to the toilet seat, the seat sensor 50 may be arranged on the back of the toilet seat 20 and the surface in contact with the toilet 4.

[0066] The seat sensor 50 is connected to the control unit 100 in a communicative manner via a prescribed network by wire or wireless. The seat sensor 50 sends various information to the control unit 100. For example, the seat sensor 50 sends the acquired information related to the user's seating (leaving) to the control unit 100. For example, the seat sensor 50 can be connected to the control unit 100 in a communicative manner via a prescribed wireless communication function such as Bluetooth or Wi-Fi. It should be noted that the control unit 100 and the seat sensor 50 can be connected in any manner as long as they can send and receive information, and can be connected in a communicative manner via a wire or a wireless. For example, the seat sensor 50 can be connected to the control unit 100 in a communicative manner via a wire or a wireless via the communication unit 190.

[0067] The defecation sensor 60 functions as a defecation information acquisition unit that acquires defecation information corresponding to the user's defecation. For example, the defecation sensor 60 is an imaging sensor that acquires defecation information corresponding to the user's defecation by photographing the inside of the toilet 4. For example, the defecation sensor 60 is an imaging sensor that is disposed at a position facing the bowl of the toilet 4 from the main body 12. For example, the defecation sensor 60 uses any sensor such as a CCD (Charge Coupled Device) sensor or a CMOS (Complementary Metal Oxide Semiconductor) sensor.

[0068] For example, the defecation sensor 60 may be a linear sensor (a one-dimensional imaging sensor) that captures a one-dimensional image, or may be an area sensor (a two-dimensional imaging sensor) that captures a two-dimensional image. For example, when it is a linear sensor, the defecation sensor 60 is arranged in a direction to capture the direction between the toilet seat 20 and the water seal portion (the portion where the water seal accumulates) of the toilet bowl 4. In this way, the defecation sensor 60 may be arranged to capture the falling feces from the time when the user defecates to the time when the feces fall into the water seal portion (the portion where the water seal accumulates) of the toilet bowl 4.

[0069] In addition, for example, when it is an area sensor, the defecation sensor 60 is arranged in the direction of the water seal portion of the toilet 4. In this way, the defecation sensor 60 can be arranged to photograph the water seal portion of the toilet 4. It should be noted that the defecation sensor 60 can be arranged in any manner as long as it can detect (photograph) feces. In addition, the defecation sensor 60 can capture still images or dynamic images. In addition, in a case where the toilet becomes dark because the user sits on the toilet seat and it is impossible to shoot with sufficient brightness, a light source (light-emitting portion) can be provided.

[0070] The defecation sensor 60 is connected to the control unit 100 in a communicative manner via a prescribed network by wire or wireless. The defecation sensor 60 sends various information to the control unit 100. For example, the defecation sensor 60 sends the acquired information related to the user's defecation to the control unit 100. For example, the defecation sensor 60 can be connected to the control unit 100 in a communicative manner via a prescribed wireless communication function such as Bluetooth or Wi-Fi. It should be noted that the control unit 100 and the defecation sensor 60 can be connected in any manner as long as they can send and receive information, and can be connected in a communicative manner via a wire or wirelessly. For example, the defecation sensor 60 can be connected to the control unit 100 in a communicative manner via a wire or wirelessly via the communication unit 190.

[0071] It should be noted that, when explaining without distinguishing between information acquired by the biosensor 40 and information acquired by the defecation sensor 60, it is sometimes described as "sensor information." The concept of sensor information is information acquired by various sensors in order to estimate the health-related status of the user, including information acquired by the biosensor 40 and information acquired by the defecation sensor 60.

[0072] The timing unit 70 measures time. The timing unit 70 measures the time for acquiring sensor information through the sensor. The timing unit 70 measures the time when the user is detected to be seated by the seat sensor 50. The timing unit 70 measures the time from the time when the user starts to sit down by the seat sensor 50. The timing unit 70 can measure the time from the time when the biosensor 40 starts to acquire biometric information. The timing unit 70 can measure the time when the defecation sensor 60 first detects the acquired feces. The timing unit 70 can obtain the time required for defecation obtained by the difference between the time when the user is detected to be seated by the seat sensor 50 and the time when the defecation sensor 60 first detects the acquired feces.

[0073] The timing unit 70 is connected to the control unit 100 in a communicative manner via a prescribed network by wire or wireless. The timing unit 70 sends various information to the control unit 100. For example, the timing unit 70 sends information related to the measured time to the control unit 100. For example, the timing unit 70 can be connected to the control unit 100 in a communicative manner via a prescribed wireless communication function such as Bluetooth or Wi-Fi. It should be noted that the control unit 100 and the timing unit 70 can be connected in any manner as long as they can send and receive information, and can be connected in a communicative manner by wire or by wireless. For example, the timing unit 70 can be connected to the control unit 100 in a communicative manner by wire or by wireless via the communication unit 190.

[0074] In addition, the toilet 10 may have a personal identification unit (identification device) that performs processing (personal identification) to identify the user who uses the toilet 4. For example, the personal identification unit of the toilet 10 obtains information for identifying the user who uses the toilet 4 for defecation through communication with the external terminal 200 held by the user or the user's operation of the remote control, thereby performing personal identification of the user. For example, the personal identification unit of the toilet 10 communicates with the external terminal 200 held by the user and receives user identification information for identifying the user from the external terminal 200. For example, the personal identification unit of the toilet 10 can receive operation information indicating the user's operation from the remote control. It should be noted that the personal identification unit of the toilet 10 can identify the user by any method as long as it can identify the user who uses the toilet 4 for defecation.

[0075] The personal identification unit of the toilet 10 is connected to the control unit 100 in a wired or wireless manner via a prescribed network. The personal identification unit of the toilet 10 sends various information to the control unit 100. For example, the personal identification unit of the toilet 10 sends the acquired user identification information of the user to the control unit 100. For example, the personal identification unit of the toilet 10 can be connected to the control unit 100 in a wired or wireless manner via a prescribed wireless communication function such as Bluetooth or Wi-Fi. It should be noted that the control unit 100 and the personal identification unit of the toilet 10 can be connected in any manner as long as they can send and receive information, and can be connected in a wired or wireless manner. For example, the personal identification unit of the toilet 10 can be connected to the control unit 100 in a wired or wireless manner via the communication unit 190.

[0076] The control unit 100 is an information processing device (computer) that performs various information processing. The control unit 100 is connected to the external terminal 200 in a wired or wireless manner via a predetermined network (communication unit 190) such as the Internet. It should be noted that the control unit 100 can be connected to the external terminal 200 in any manner as long as it can send and receive information, and can be connected in a wired or wireless manner. In addition, the control unit 100 can send and receive information between each structure of the toilet 10 as described above.

[0077] The control unit 100 can be arranged at any place. The control unit 100 can be arranged in the space (bathroom) corresponding to the toilet 10, or can be arranged outside the space (bathroom) corresponding to the toilet 10. The control unit 100 can be arranged in the main body 12. For example, the control unit 100 can be arranged at a position near the front end of the toilet seat 20 (a position relatively close to the biosensor 40). In this case, the control unit 100 can process the output signal of the biosensor 40 and convert it into a signal that is relatively resistant to noise.

[0078] It should be noted that the device structure and configuration of the control unit 100 can be in any manner as long as it can communicate with the external terminal 200 and each structure of the toilet 10 and realize processing. For example, the control unit 100 can be a portable terminal (device) such as a portable laptop computer of the administrator of the health management system 1. In addition, the control unit 100 can be configured in the toilet 10. The control unit 100 may not be in the main body 12, but may be set (constructed) in the external terminal 200 or in an external network (for example, in the cloud CL) that communicates via the communication unit 190.

[0079] The control unit 100 calculates a health index of the user sitting on the toilet seat 20 based on the measurement result of the biosensor 40. The control unit 100 calculates a health index of the user based on the biological information of the user acquired by the biosensor 40. Figure 4 This is a schematic diagram showing the process of calculating various health indicators based on the measurement results of the biosensor. The control unit 100 measures the pulse rate, pulse rate fluctuation, and blood flow rate, etc., using the biosensor 40, which is a laser sensor capable of detecting blood flow. Then, the control unit 100 calculates a plurality of health indicators such as heart rate, stress state (calmness), blood circulation state, physical fitness level, body water level, metabolic level, blood vessel age, and biological clock based on the measurement results of the biosensor 40.

[0080] For example, heart rate is a health indicator showing the number of times the user's heart beats within a certain period of time. In addition, stress state (also called "relaxation level") is a health indicator indicating a state related to, for example, the magnitude of the user's stress. Blood circulation state is a health indicator indicating a state related to, for example, the user's blood circulation. For example, the blood circulation state may be the blood circulation state of the user's lower limbs (lower limb blood circulation state). It should be noted that the blood circulation state is not limited to the lower limbs and may be the blood circulation state of any part of the user. For example, physical fitness level is a health indicator related to the user's aerobic exercise capacity, etc. Body water level is a health indicator indicating the proportion of the user's body water to body weight (body water percentage). For example, metabolic level is a health indicator related to the user's metabolism. Vascular age is a health indicator related to the user's vascular age. Biological clock is a health indicator related to the user's biological clock.

[0081] In addition, the control unit 100 determines the defecation characteristics (also referred to as "defecation characteristics") of the user sitting on the toilet seat 20 based on the measurement results of the defecation sensor 60. The defecation characteristics (defecation characteristics) are information indicating the state of the user's defecation (feces). For example, the defecation characteristics (also referred to as "defecation status" or "defecation status") include the type, color, and amount of feces. The control unit 100 determines the user's defecation status based on the user's defecation information acquired by the defecation sensor 60. For example, the control unit 100 determines the defecation status including the type, color, and amount of feces based on the measurement results of the defecation sensor 60 of the captured image. In addition, the control unit 100 calculates the score of the feces (defecation score) corresponding to the feces status based on the feces status.

[0082] In addition, the control unit 100 measures the time that the user is seated on the toilet seat 20 based on the measurement result of the timer unit 70. The control unit 100 determines whether the time that the user is seated on the toilet seat 20 has reached the time required for acquiring (measuring) information (also referred to as "required time"). The control unit 100 determines whether the time that the user is seated on the toilet seat 20 has reached the first time. The control unit 100 determines whether the time that the user is seated on the toilet seat 20 has reached the second time.

[0083] <1-1. Health indicators, bowel status, etc.>

[0084] As described above, the control unit 100 exports various information such as multiple health indicators or bowel status. In the following, when explaining without distinguishing between health indicators and bowel status, it may be recorded as "indicator". For example, the concept of an indicator includes information corresponding to each of multiple health indicators such as heart rate, stress status, blood circulation status, physical fitness level, body water level, metabolic level, vascular age, and biological clock, and information corresponding to the bowel status. That is, the indicator includes various information that can be used to infer the status related to the user's health, such as information corresponding to each health indicator calculated based on biological information and information corresponding to the bowel status determined based on bowel movement information.

[0085] For example, the information corresponding to the indicator may be information indicating a relative evaluation of the indicator, such as "high", "low", or "equal". In addition, the information corresponding to the indicator may be a specific numerical value of the indicator, such as "50 (bpm)", "60 (%)", or the like. It should be noted that, when it is clearly indicated that the information corresponding to the indicator is a numerical value, it may sometimes be recorded as "score", "numerical value", or "value". In addition, when the indicator is the state of stool, the information corresponding to the indicator may be information indicating the state of stool, such as "wrinkled", "brown", or "medium". When the indicator (also called "stool indicator") is the state of stool, when it is clearly indicated that the information corresponding to the indicator is a numerical value, it may sometimes be recorded as a "defecation score".

[0086] The control unit 100 calculates a health score using information on various indices such as health indicators and bowel movement status. The details of the control unit 100 will be described later.

[0087] For example, the communication unit 190 is implemented by a communication device, a communication circuit, etc. For example, the communication unit 190 can be arranged in the main body 12. The communication unit 190 is connected to any network by wire or wireless, and sends and receives information between an external information processing device. For example, the communication unit 190 sends and receives information between a remote controller, a seat sensor 50, a defecation sensor 60, a biosensor 40, a control unit 100, and an external terminal 200. It should be noted that the communication unit 190 can be included in the control unit 100. That is, the communication unit 190 can be set integrally with the control unit 100.

[0088] The external terminal 200 displays various information. The external terminal 200 displays information received from the control unit 100. The external terminal 200 has a display unit 210 for displaying information. For example, the display unit 210 is a display screen of a tablet terminal or the like implemented by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display. For example, the external terminal 200 displays various information such as various indicators such as health indicators or indicators related to defecation (also called "stool indicators"), health scores, etc. on the display unit 210.

[0089] For example, the external terminal 200 is a device (computer) used by a user (user). For example, the external terminal 200 is implemented by a smart phone, a mobile phone, a PDA (Personal Digital Assistant), a tablet terminal, or a notebook PC (Personal Computer). For example, the external terminal 200 is a smart phone (portable terminal) used by a user.

[0090] For example, the external terminal 200 is connected to the control unit 100 in a wired or wireless manner via the communication unit 190. For example, the external terminal 200 can be connected to the control unit 100 in a communicative manner via a predetermined wireless communication function such as Bluetooth or Wi-Fi. The external terminal 200 transmits and receives information to and from the control unit 100.

[0091] The external terminal 200 receives content representing various information from the control unit 100 and displays the received content. For example, the external terminal 200 receives content including a health score from the control unit 100 and displays the received content. For example, the external terminal 200 performs processing for displaying various health-related information including health score content, etc., through an application for displaying various health-related information including health score content, etc. (also referred to as a "health management application").

[0092] It should be noted that the above is only an example, and the health management system 1 can adopt any device structure as long as it can achieve the desired processing. For example, the remote control can function as a display unit for displaying information. In addition, the health management system 1 can include both the remote control and the external terminal 200 as a device that functions as a display unit. As such, the above system structure is only an example, and the health management system 1 can be any system structure as long as it can achieve the desired processing.

[0093] In addition, the health management system 1 may also include sensors other than the biosensor 40, the seat sensor 50, or the defecation sensor 60. For example, the health management system 1 may also include a human body detection sensor. The human body detection sensor has the function of detecting the human body. For example, the human body detection sensor is implemented by a pyroelectric sensor using an infrared signal, etc. For example, the human body detection sensor can be implemented by a μ (micro) wave sensor, etc. It should be noted that the above is an example, and the human body detection sensor is not limited to the above, and the human body can be detected by various means. For example, the human body detection sensor detects a person (user, etc.) who enters a space (bathroom) where a toilet 4 is provided. The human body detection sensor sends a detection signal to the control unit 100.

[0094] <1-2. Configuration of control unit (information processing device)>

[0095] The following describes the details of each structure of the control unit 100. The control unit 100 may be, for example, an information processing device (control device) that controls various structures or processes. The control unit 100 may have, for example, a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), etc., and may be implemented by executing a program (for example, the information processing program of the present disclosure) stored in the control unit 100 using a RAM (Random Access Memory) or the like as an operating area. In addition, the control unit 100 may have an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0096] like Figure 3 As shown, the control unit 100 includes an acquisition unit 110, a storage unit 120, a health index calculation unit 130, a defecation information calculation unit 140, a health status calculation unit 150, and a display processing unit 160, which realize or execute the functions or effects of the information processing described below. It should be noted that the internal structure of the control unit 100 is not limited to Figure 3 The structure shown in the figure may be any other structure as long as it is a structure for performing the information processing described later. In addition, the connection relationship between the various parts of the control unit 100 is not limited to Figure 3 The connection relationship shown may also be other connection relationships.

[0097] The acquisition unit 110 acquires information. The acquisition unit 110 acquires various information from the storage unit 120. The acquisition unit 110 acquires various information from the toilet 10. The acquisition unit 110 acquires various information collected in the space (bathroom) corresponding to the toilet 10 from the toilet 10. The acquisition unit 110 acquires user identification information for identifying a user from the toilet 10. The acquisition unit 110 acquires biological information from the toilet 10. The acquisition unit 110 acquires defecation information from the toilet 10.

[0098] The acquisition unit 110 acquires sensor information detected by the sensor from the sensor. The acquisition unit 110 acquires sensor information of the user detected by the sensor. The acquisition unit 110 acquires biological information of the user. The acquisition unit 110 acquires blood flow information of the user as biological information of the user. The acquisition unit 110 acquires defecation information corresponding to defecation of the user. The acquisition unit 110 receives biological information acquired by the biosensor 40 from the biosensor 40. The acquisition unit 110 receives information indicating detection of the seat sensor 50 from the seat sensor 50. The acquisition unit 110 receives defecation information acquired by the defecation sensor 60 from the defecation sensor 60. The acquisition unit 110 receives various information indicating the operation of the user from the remote controller. The acquisition unit 110 stores the received various information in the storage unit 120.

[0099] The storage unit 120 is implemented by a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily records data used by the information processing program. The storage unit 120 stores various information such as information detected by the detection unit. The storage unit 120 stores various information used for determination processing.

[0100] The storage unit 120 stores information related to the health score. The storage unit 120 stores various information used for calculation processing related to the health score. The storage unit 120 stores information such as a function (health score calculation function) used for calculation processing of the health score.

[0101] The storage unit 120 stores the history records related to the health score (health score history record information) for each user. The storage unit 120 stores the information related to the health score corresponding to the acquired date and time as the health score history record information. The storage unit 120 stores the health score of each user in a manner corresponding to the user. For example, the storage unit 120 stores the health score of the user U1 in a manner corresponding to the user identification information used to identify the user U1. It should be noted that the above is just an example, and the storage unit 120 stores various information related to the health score.

[0102] The storage unit 120 stores information related to various indicators such as health indicators or defecation indicators (stool indicators). The storage unit 120 stores various information used for calculation processing related to health indicators. The storage unit 120 stores information such as functions used for calculation processing of health indicators (health indicator calculation functions). The storage unit 120 stores various information used for calculation processing related to defecation scores (stool indicators). The storage unit 120 stores information such as functions used for calculation processing of defecation scores (defecation score calculation functions).

[0103] The storage unit 120 stores historical records related to health indicators (health indicator history record information) for each user. The storage unit 120 stores the acquired information related to the health indicators corresponding to the date and time as the health indicator history record information. The storage unit 120 stores information related to each health indicator of the user in a manner corresponding to each user. For example, the storage unit 120 stores information related to each health indicator of the user U1 in a manner corresponding to the user identification information used to identify the user U1. It should be noted that the above is just an example, and the storage unit 120 stores various information related to health indicators.

[0104] The storage unit 120 stores various information used for determination processing related to the state of stool, such as the properties of stool. For example, the storage unit 120 stores thresholds used for determination processing related to stool. For example, the storage unit 120 stores various models (determination models) used for determination related to stool. For example, the storage unit 120 stores various determination models used for determining the type, color, amount, etc. of stool.

[0105] The storage unit 120 stores historical records related to the defecation status (defecation history record information) for each user. The storage unit 120 stores the acquired information related to the defecation status corresponding to the date and time as the defecation history record information. The storage unit 120 stores the type (shape), color, and amount of stool in each defecation of the user in a manner corresponding to each user. For example, the storage unit 120 stores the type (shape), color, and amount of stool in each defecation of the user U1 in a manner corresponding to the user identification information used to identify the user U1. It should be noted that the above is just an example, and the storage unit 120 stores various information related to the defecation.

[0106] It should be noted that the storage unit 120 is not limited to the above, and may store various information according to the purpose. The storage unit 120 may store biological information or defecation information. The storage unit 120 may store in a manner corresponding to the date and time when the biological information or defecation information is acquired. The storage unit 120 may store a stool image as defecation information. The storage unit 120 stores the information of the stool corresponding to the stool image in correspondence with the stool image. The storage unit 120 stores the judgment result (type, color, amount, etc.) obtained by judging the stool corresponding to the stool image in correspondence with the stool image. The storage unit 120 stores information such as the properties of the stool corresponding to the stool image or the amount of stool corresponding to the stool image. In addition, the storage unit 120 may store the date and time when the stool image is acquired and information for identifying the user who excreted the stool corresponding to the stool image, etc., in correspondence with the stool image.

[0107] The health index calculation unit 130 functions as a generation unit that generates various information related to health indexes. The health index calculation unit 130 calculates the health index of the user based on the measurement results of the biosensor 40. For example, the health index calculation unit 130 calculates multiple health indexes such as pulse, blood flow, and heart rate by applying Fourier transform or the like to the output signal of the biosensor 40. The health index calculation unit 130 calculates the health index information based on the biological information. The health index calculation unit 130 calculates the health index based on the biological information. The health index calculation unit 130 calculates the health index score based on the biological information. The health index calculation unit 130 calculates the health index information based on the blood flow information of the user. The health index calculation unit 130 calculates the health index score that digitizes the health index information. The health index calculation unit 130 calculates multiple health index information. The health index calculation unit 130 calculates multiple index information based on the sensor information.

[0108] The health index calculation unit 130 calculates the heart rate based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the stress state (calmness) based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the blood circulation state based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the physical fitness level based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the body water level based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the metabolic level based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the vascular age based on the measurement results of the biosensor 40. The health index calculation unit 130 calculates the biological clock based on the measurement results of the biosensor 40. It should be noted that the health index calculation unit 130 can generate the information of the health index by any method as long as it can generate the information of the various health indicators mentioned above. For example, the health index calculation unit 130 appropriately uses various technologies related to medical care to generate information on various health indexes based on the measurement results of the biosensor 40 .

[0109] The defecation information calculation unit 140 functions as a generation unit that generates various information related to defecation. The defecation information calculation unit 140 functions as a defecation state determination unit that performs a determination process of the defecation state. That is, the defecation information calculation unit may also be referred to as a defecation state determination unit. The defecation information calculation unit 140 uses the information detected by the defecation sensor 60 to perform the determination process. The defecation information calculation unit 140 uses the information stored in the storage unit 120 to perform the determination process. The defecation information calculation unit 140 determines the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information acquired by the acquisition unit 110. The defecation information calculation unit 140 determines the defecation characteristics including the type, amount, and color of the defecation.

[0110] The defecation information calculation unit 140 determines the amount of stool based on the image captured by the defecation sensor 60. For example, the defecation information calculation unit 140 determines the amount of stool based on the area or proportion occupied by the stool in the image. For example, the defecation information calculation unit 140 can use the score output by the stool determination model to determine the amount of stool. When the score output by the stool determination model inputted with the image is greater than the first threshold value and less than the second threshold value, the defecation information calculation unit 140 can determine the amount of stool as "little (small)". The second threshold value is set to a value greater than the first threshold value. In addition, when the score output by the stool determination model inputted with the image is greater than the second threshold value and less than the third threshold value, the defecation information calculation unit 140 can determine the amount of stool as "medium". The third threshold value is set to a value greater than the second threshold value. In addition, when the score output by the stool determination model inputted with the image is greater than the third threshold value and less than the fourth threshold value, the defecation information calculation unit 140 can determine the amount of stool as "much (large)". The fourth threshold value is set to a value greater than the third threshold value. It should be noted that the above three-level determination is just an example, and the defecation information calculation unit 140 can appropriately use various information to determine the amount of stool.

[0111] The defecation information calculation unit 140 determines the type of stool corresponding to the stool image based on the image captured by the defecation sensor 60. The defecation information calculation unit 140 uses the stool image to determine which of the multi-level types based on shape (also referred to as "appearance") the type of stool corresponding to the stool image is. The defecation information calculation unit 140 can classify the types of stool into seven types based on the Bristol Scale. For example, the defecation information calculation unit 140 uses the stool image to determine which of the types 1 to 7 based on the Bristol Scale the type of stool corresponding to the stool image is. For example, type 1 is nut-shaped, type 2 is dry and hard (hard), and type 3 is wrinkled (slightly hard). In addition, type 4 is ordinary (banana-shaped), type 5 is slightly soft, type 6 is muddy, and type 7 is liquid (watery). The defecation information calculation unit 140 appropriately uses various technologies that detect the shape of stool by optical methods to determine the type (shape) of the user's stool.

[0112] The defecation information calculation unit 140 can use a technology related to AI (artificial intelligence) to determine the type of stool. For example, the defecation information calculation unit 140 can use a learning model (type determination model) generated by machine learning to determine the type of stool. In this case, the type determination model is learned in advance by training data showing classification judgment. The training data includes a plurality of combinations of a stool image and a label (correct answer information) showing the type of a block (stool) included in the stool image (any one of type 1 to type 7). For example, the type determination model is a model that takes a stool image as input and outputs information indicating the type of a block (stool) included in the input stool image. For example, the type determination model is trained to output information of a label (type of stool) corresponding to the input stool image when a stool image is input. The learning of the type determination model is appropriately performed using various methods related to so-called supervised learning. In this case, the type determination model is stored in the storage unit 120, and the defecation information calculation unit 140 can use the type determination model stored in the storage unit 120 to determine the type of stool. For example, the control unit 100 may perform a learning process to generate a type determination model. It should be noted that the above is only an example, and the defecation information calculation unit 140 may appropriately use various information to determine the type of stool.

[0113] In addition, for example, the defecation information calculation unit 140 uses the feces image to determine the color of the feces corresponding to the feces image. The defecation information calculation unit 140 uses the feces image to determine which of the multiple levels based on color the color of the feces corresponding to the feces image is. For example, the defecation information calculation unit 140 uses the feces image to determine which of the multiple levels based on color the color of the feces corresponding to the feces image is yellow, light khaki, khaki, light brown, tea brown (burnt tea), and dark brown (dense burnt tea).

[0114] The defecation information calculation unit 140 determines the color of the stool based on the detection result of the defecation sensor 60. The defecation information calculation unit 140 appropriately uses various techniques for detecting the color of the stool by optical methods to determine the color of the user's stool. The defecation information calculation unit 140 appropriately uses various techniques related to the classification of the color of the stool to determine whether the color of the stool is yellow, light khaki, khaki, light brown, tea brown, and dark brown. For example, the defecation information calculation unit 140 determines (judges) the color of the stool based on various information (feature quantities) such as the brightness or lightness of the color image (RGB).

[0115] The defecation information calculation unit 140 can use a technology related to AI (artificial intelligence) to determine the color of the stool. For example, the defecation information calculation unit 140 can use a learning model (color judgment model) generated by machine learning to determine the color of the stool. In this case, the color judgment model is learned in advance by training data representing classification judgment. The training data includes a plurality of combinations of a stool image and a label (correct answer information) representing the color of a block (stool) included in the stool image (any one of yellow, light khaki, khaki, light brown, tea brown, and dark brown). For example, the color judgment model is a model that takes a stool image as input and outputs information representing the color of a block (stool) included in the input stool image. For example, the color judgment model is trained to output information of a label (color of stool) corresponding to the input stool image when a stool image is input. The learning of the color judgment model is appropriately performed using various methods related to so-called supervised learning. In this case, the color judgment model is stored in the storage unit 120, and the defecation information calculation unit 140 can use the color judgment model stored in the storage unit 120 to determine the color of the stool. For example, the control unit 100 may perform a learning process to generate a color determination model. It should be noted that the above is only an example, and the defecation information calculation unit 140 may appropriately use various information to determine the color of the stool. In addition, the six levels of yellow, light khaki, khaki, light brown, tea brown, and dark brown are only examples of colors, and the defecation information calculation unit 140 may determine other colors, or may determine according to five or less levels.

[0116] As described above, the defecation information calculation unit 140 determines the state of the stool based on the defecation information. The defecation information calculation unit 140 calculates information related to the stool index based on the sensor information. The defecation information calculation unit 140 determines the stool index based on the defecation information. The defecation information calculation unit 140 calculates the defecation score based on the state of the stool. The defecation information calculation unit 140 calculates the defecation score by quantifying the defecation information. The defecation information calculation unit 140 calculates the defecation score based on a relative evaluation obtained by comparing the property value of the stool discharged in one defecation with the reference property value.

[0117] The health status calculation unit 150 calculates a health score. The health status calculation unit 150 calculates a health score, which is numerical information indicating the health status of the user, based on health indicator information based on biological information and defecation information. It should be noted that the numerical information is not limited to scores such as how many points are out of 100 points, but includes various information such as percentages such as a few percent. The health status calculation unit 150 calculates the health score using the health indicator information calculated by the health indicator calculation unit 130.

[0118] The health status calculation unit 150 calculates a health score using the health index score calculated by the health index calculation unit 130 and the defecation score calculated by the defecation information calculation unit 140. The health status calculation unit 150 calculates a health score based on the defecation score and the health index score. The health status calculation unit 150 calculates a health score based on a plurality of health index scores and a defecation score. The health status calculation unit 150 calculates a health score based on a total value of a plurality of health index scores and a defecation score.

[0119] The health status calculation unit 150 calculates the average value of the plurality of health index scores and the defecation score as the health score. The health status calculation unit 150 calculates the health score using a plurality of weight values ​​corresponding to each health index score and each defecation score. The health status calculation unit 150 calculates the health score based on the total value obtained by multiplying each health index score by each weight value corresponding to each health index score and the weighted defecation score obtained by multiplying the defecation score by the weight value corresponding to the defecation score.

[0120] The display processing unit 160 functions as an output control unit that controls the output of various information. The display processing unit 160 controls the display of the display unit 210 of the external terminal 200. The display processing unit 160 controls the display of the display unit 210 of the external terminal 200 by instructing the external terminal 200. The display processing unit 160 controls the display of the display unit 210 of the external terminal 200 by sending information to the external terminal 200.

[0121] The display processing unit 160 transmits information to the external terminal 200 via the communication unit 190. For example, the display processing unit 160 transmits information to be displayed on the external terminal 200 to the external terminal 200. The display processing unit 160 functions as a determination unit that performs various determinations. The display processing unit 160 performs determinations related to time based on the time measured by the timing unit 70. The display processing unit 160 determines whether the seat sensor 50 detects that the user is seated. The display processing unit 160 determines whether the seat sensor 50 detects that the user is seated on the toilet seat 20.

[0122] The display processing unit 160 performs processing for displaying the defecation characteristics determined by the defecation information calculation unit 140 as time series data on the display unit 210 of the external terminal 200. The display processing unit 160 can switch the display for each predetermined period, and can perform processing for displaying a predetermined number of patterns with a high frequency of defecation characteristics patterns within the predetermined period on the display unit 210 of the external terminal 200.

[0123] The display processing unit 160 performs processing for displaying on the display unit 210 of the external terminal 200 in a manner that can be switched by day, week, month, or year. At least when displaying by month or year, the display processing unit 160 performs processing for displaying a predetermined number of patterns with a high frequency among the patterns corresponding to the defecation characteristics within a predetermined period on the display unit 210 of the external terminal 200. At least when displaying by day, the display processing unit 160 displays all the defecation characteristics of the user determined by the defecation information calculation unit 140.

[0124] The display processing unit 160 performs a process of displaying a pattern corresponding to a combination of type, amount, and color on the display unit 210 of the external terminal 200. The display processing unit 160 performs a process of displaying a pattern on the display unit based on a priority order of type, amount, and color. The display processing unit 160 performs a process of displaying a pattern corresponding to the display number on the display unit based on a priority order of type, amount, and color when the display number of the display unit 210 of the external terminal 200 is limited.

[0125] The display processing unit 160 performs a process for displaying information related to the health score calculated by the health status calculation unit 150 on the display unit 210 of the external terminal 200. The display processing unit 160 performs a process for displaying information related to the health score, information related to the health index information, and information related to the defecation information on the display unit 210 of the external terminal 200. The display processing unit 160 performs a process for displaying information indicating the defecation status of the user based on the defecation information on the display unit 210 of the external terminal 200. The display processing unit 160 performs a process for displaying text information indicating the defecation status of the user based on the defecation information on the display unit 210 of the external terminal 200.

[0126] The display processing unit 160 performs processing for displaying the health index score on the display unit 210 of the external terminal 200. The display processing unit 160 performs processing for displaying a plurality of health index information on the display unit 210 of the external terminal 200. The display processing unit 160 performs processing for displaying at least the date and time of the last acquisition of each of the defecation information and the health index information on the display unit 210 of the external terminal 200.

[0127] When all the health index information and defecation information for calculating the health score are not obtained, the display processing unit 160 performs processing for not displaying the health score on the display unit 210 of the external terminal 200. When either the health index information or the defecation information for calculating the health score is updated, the display processing unit 160 updates the health score.

[0128] The display processing unit 160 performs processing for displaying the index information calculated by the health index calculation unit 130 or the defecation information calculation unit 140 on the display unit 210 of the external terminal 200. When the measurement related to the first index (also referred to as "one-time measurement") is completed (ended) and the acquisition of the user's sensor information is completed, the display processing unit 160 performs processing for displaying the information related to the first index (also referred to as "first index information") on the display unit 210 of the external terminal 200.

[0129] After the measurement related to the second indicator (also referred to as "secondary measurement") is completed, the display processing unit 160 performs a process for displaying the first indicator information and the information related to the second indicator (also referred to as "second indicator information") on the display unit 210 of the external terminal 200. During the period from the completion of the primary measurement to the completion of the secondary measurement, when the first indicator information is updated, the display processing unit 160 performs a process for displaying the updated first indicator information on the display unit 210 of the external terminal 200.

[0130] It should be noted that the first indicator and the second indicator are relative concepts, which are defined according to the length of the time (required time) required to obtain (measure) information. The indicator that requires a longer time than an indicator as the first indicator becomes the second indicator relative to the indicator. For example, when the time required for the stool state (stool indicator) is longer than the time required for a health indicator, when a health indicator is used as the first indicator, the stool indicator becomes the second indicator relative to the health indicator. For example, when the time required for a health indicator is longer than the time required for other health indicators, when other health indicators are used as the first indicator, the health indicator becomes the second indicator relative to the other health indicators. As described above, in order to calculate a plurality of health indicators, when different sensors such as the biosensor 40 and the defecation sensor 60 are used, the measurement time of each sensor is different. For example, in the measurement of the health indicator by the biosensor 40 and the measurement of the defecation state (stool state) by the defecation sensor 60, when it takes a long time (such as several minutes) until the user defecates, the required time for the stool state (stool indicator) is longer than the required time for the health indicator.

[0131] For example, when the time required for the defecation state (defecation index) is longer than the time required for the stress state, when the stress state is used as the first index, the defecation index becomes the second index relative to the stress state. For example, when the time required to obtain (determine) the information of the defecation state (defecation index) is 90 seconds and the time required to obtain (calculate) the information of the stress state is 60 seconds, when the stress state is used as the first index, the defecation index becomes the second index relative to the stress state. In addition, when the time required for the stress state is longer than the time required for the heart rhythm, when the heart rhythm is used as the first index, the stress state becomes the second index relative to the heart rhythm. For example, when the time required to obtain (calculate) the information of the stress state is 50 seconds and the time required to obtain (calculate) the information of the heart rhythm is 15 seconds, when the heart rhythm is used as the first index, the stress state becomes the second index relative to the heart rhythm. In this way, the first index or the second index is a relative concept, and the first index becomes the second index relative to the index that takes less time than itself. Even if it is an index that becomes the second index relative to other indexes, it will become the first index when it is relative to an index that takes longer time than itself. That is, the first index or the second index referred to here is a name for distinguishing the expression index according to the length of the required time.

[0132] The display processing unit 160 functions as a generation unit that performs generation processing of various information. The display processing unit 160 generates content displayed on the external terminal 200. The display processing unit 160 generates content CT1 representing a health score. For example, the display processing unit 160 appropriately uses various technologies related to image generation or image processing to generate content (image information) provided to the external terminal 200. For example, the display processing unit 160 appropriately uses various technologies such as Java (registered trademark) to generate a screen (image information) provided to the external terminal 200. It should be noted that the display processing unit 160 can generate content (image information) provided to the external terminal 200 based on CSS (Cascading Style Sheets), JavaScript (registered trademark) or HTML (Hyper Text Markup Language). In addition, for example, the display processing unit 160 can generate content in various formats such as JPEG (Joint Photographic Experts Group), GIF (Graphics Interchange Format) or PNG (Portable Network Graphics).

[0133] The display processing unit 160 transmits information. The display processing unit 160 transmits information to an external information processing device via the communication unit 190. For example, the display processing unit 160 transmits various information to the external terminal 200. The display processing unit 160 transmits the generated information to the external terminal 200, etc. The display processing unit 160 transmits the content CT1 to the external terminal 200, etc.

[0134] The display processing unit 160 controls the display of the display unit 210 of the external terminal 200 so that the content CT1 is displayed on the display unit 210 of the external terminal 200. It should be noted that the processing of displaying on the display unit 210 performed by the display processing unit 160 and the like referred to herein includes: the display processing unit 160 and the like transmits information to the external terminal 200 having the display unit 210, so that the information is displayed on the external terminal 200.

[0135] The display processing unit 160 includes a health status display processing unit 161 , a health index display processing unit 162 , a defecation status display processing unit 163 , a measurement status display processing unit 164 , a message display processing unit 165 , and a highlight display processing unit 166 .

[0136] The health status display processing unit 161 performs the processing performed by the display processing unit 160, which is related to the display of information related to the health score. It should be noted that the display object, i.e., the information related to the health score, is not limited to numerical values ​​such as fractions such as how many points out of a full score of 100, percentages such as how many percents, etc., but also includes information that visually displays numerical values ​​such as percentages through a measuring stick or the like. As such, when displaying a score, the numerical value may be an absolute value (how many points out of 100) or a relative value such as a percentage. In addition, it is also possible to display a gauge or the like that visualizes the numerical information instead of numerical information. The health status display processing unit 161 performs the processing of displaying the information related to the health score on the display unit 210 of the external terminal 200. Fig. 9 When the health score SC1 is updated in the content CT1 shown, the health status display processing unit 161 transmits the updated health score SC1 to the external terminal 200 , thereby causing the external terminal 200 to display the updated health score SC1 .

[0137] The health index display processing unit 162 performs processing related to displaying information related to the health index among the processing performed by the display processing unit 160. The health index display processing unit 162 performs processing related to displaying information related to the health index on the display unit 210 of the external terminal 200. Fig. 9When any of the health indicators HX in the content CT1 shown is updated, the health indicator display processing unit 162 transmits the updated health indicator HX to the external terminal 200 to cause the external terminal 200 to display the updated health indicator HX.

[0138] The health index display processing unit 162 performs a process for displaying the health index information calculated by the health index calculation unit 130 on the display unit 210 of the external terminal 200. When the primary measurement is completed and the acquisition of the sensor information of the user is completed, the health index display processing unit 162 performs a process for displaying the first index information on the display unit 210 of the external terminal 200. When the secondary measurement is completed, the health index display processing unit 162 performs a process for displaying the first index information and the second index information on the display unit 210 of the external terminal 200.

[0139] The defecation status display processing unit 163 performs processing for displaying information related to the defecation status among the processing performed by the display processing unit 160. The defecation status display processing unit 163 performs processing for displaying information related to the defecation status on the display unit 210 of the external terminal 200. Fig. 9 When the defecation index DX in the content CT1 shown is updated, the defecation state display processing unit 163 transmits the updated defecation index DX to the external terminal 200 to thereby cause the external terminal 200 to display the updated defecation index DX.

[0140] The defecation status display processing unit 163 performs processing for displaying the defecation index information calculated by the defecation information calculation unit 140 on the display unit 210 of the external terminal 200. After the secondary measurement is completed, the defecation status display processing unit 163 performs processing for displaying the second index information on the display unit 210 of the external terminal 200.

[0141] The metering status display processing unit 164 performs processing for displaying information related to the metering status among the processing performed by the display processing unit 160 . The metering status display processing unit 164 performs processing for displaying information related to the metering status on the display unit 210 of the external terminal 200 .

[0142] The metering status display processing unit 164 notifies the metering status through the display unit 210 of the external terminal 200. The metering status display processing unit 164 notifies the metering status related to a plurality of index information including first index information that can be calculated using a first time and second index information that can be calculated using a second time that is longer than the first time through the display unit 210 of the external terminal 200. The metering status display processing unit 164 notifies the completion of the primary metering corresponding to the first time, and notifies the execution of the secondary metering corresponding to the second time. When the secondary metering is finished, the metering status display processing unit 164 notifies the completion of the secondary metering.

[0143] The message display processing unit 165 determines the user's state based on at least one of the health score, health index information, and defecation information, and displays a recommended message corresponding to the determined user's state on the display unit 210 of the external terminal 200. For example, the message display processing unit 165 performs a process for displaying Fig.10 The process of displaying the recommended information RC on the display unit 210 of the external terminal 200 .

[0144] The highlight display processing unit 166 performs a process for highlighting the health score, health index information, and defecation information on the display unit 210 of the external terminal 200 for a certain period of time. Fig.10 The highlighted information HL shown is displayed on the display unit 210 of the external terminal 200 .

[0145] It should be noted that the structure of the control unit 100 described above is only an example, and the control unit 100 is not limited to the above, but may have various structures. For example, the control unit 100 may have a display unit when it has the function of displaying information. In addition, when the external terminal 200 calculates the health score, the control unit 100 and the external terminal 200 may be integrated. For example, when the external terminal 200 such as a smartphone used by the user calculates the health score through an information processing program, the external terminal 200 may have the function of the control unit 100.

[0146] For example, the process of calculating the health score can be performed by an application including an information processing program (e.g., a health management application). For example, in the case where the health score is calculated by an application (e.g., a health management application) installed in the external terminal 200, the external terminal 200 can have the structure of the control unit 100.

[0147] <2. Calculation example>

[0148] Next, use Figures 5 to 7, an example of a method for calculating a numerical value is described. Figures 5 to 7 Calculation of a numerical value (score) will be described below using the amount of water in the body as an example.

[0149] <2-1. First calculation example (score distribution)>

[0150] First, refer to Figure 5 , the first calculation example is explained. Specifically, Figure 5 A first calculation example of calculating a score by allocating (distributing) points is shown. Figure 5 The graph GR11 in is information for converting the measurement result into 0 to 100 points. Specifically, the graph GR11 shows an example of assigning a score (score) corresponding to the amount of water in the body to each measured value (measurement value) corresponding to the amount of water in the body. Figure 5 In the example of , it is shown that the smaller the measured value corresponding to the body water content, the larger the score is assigned. In this case, the control unit 100 uses the information of the graph GR11 and calculates the health index score (body water content score) corresponding to the body water content based on the measured value corresponding to the measured body water content.

[0151] <2-2. Second calculation example (for each user)>

[0152] First, refer to Figure 6 , the second calculation example is described. Figure 6 An example of calculating based on one's own health index information results is shown. Specifically, Figure 6 A second calculation example of calculating the score by allocating (distributing) points is shown. Figure 6 A second calculation example is shown in which a score is calculated using only the history records of the user to be calculated (target user). For example, Figure 6 The figure shows how points are allocated based on the measurement results of the target user for the past 50 times.

[0153] Figure 6 The graph GR12 in the figure is information for converting (converting) the measurement result into 0 to 100 points. For example, the graph GR12 is information for converting (converting) the measurement result into any value between 0 and 100 points according to the deviation from the base, with the average value (base) set to 50 points. Specifically, the graph GR12 shows an example of assigning a score (score) corresponding to the amount of water in the body to each measured value (measurement value) corresponding to the amount of water in the body. Figure 6In the example of , it is shown that the smaller the measured value corresponding to the amount of water in the body, the larger the score is assigned. In this case, the control unit 100 uses the information of the graph GR12 and calculates the health index score (body water content score) corresponding to the amount of water in the body based on the measured value corresponding to the measured amount of water in the body.

[0154] <2-3. Third calculation example (multiple users)>

[0155] First, refer to Figure 7 , the third calculation example is explained. Figure 7 An example of calculation based on the health index information results of the user population (multiple users) is shown. Specifically, Figure 7 A third calculation example of calculating a score by allocating (distributing) points is shown. Figure 7 A third calculation example is shown in which the score is calculated using the history records of a plurality of users without being limited to the user to be calculated (target user). For example, Figure 7 The figure shows a case where points are allocated to each of 100 users based on the measurement results of the past 50 times.

[0156] Figure 7 The graph GR13 in the figure is information for converting (converting) the measurement result into 0 to 100 points. For example, the graph GR13 is information for converting (converting) the measurement result into any value between 0 and 100 points according to the deviation from the base, with the average value (base) set to 50 points. Specifically, the graph GR13 shows an example of assigning a score (score) corresponding to the amount of water in the body to each measured value (measurement value) corresponding to the amount of water in the body. Figure 7 In the example of , it is shown that the smaller the measured value corresponding to the body water content, the larger the score is assigned. In this case, the control unit 100 uses the information of the graph GR13 and calculates the health index score (body water content score) corresponding to the body water content based on the measured value corresponding to the measured body water content.

[0157] It should be noted that the above calculation is only an example, and the control unit 100 may not be limited to the above, and may calculate the value by various methods. For example, the control unit 100 may calculate the value by absolute value evaluation. Figures 5 to 7 In the above, the calculation of the numerical value (score) is described by taking the amount of water in the body, which is one of the health indicators, as an example. The health indicator score can also be calculated for other health indicators such as heart rate through the same processing.

[0158] In addition, the control unit 100 can also Figures 5 to 7The same method is used to calculate the defecation score. For example, the control unit 100 calculates a defecation score with a value of 0 to 100 points. For example, the control unit 100 can calculate the defecation score based on a relative evaluation obtained by comparing the property value of the stool discharged in one defecation with the benchmark property value. For example, the control unit 100 uses the average of the stool state of the user's past stools as a benchmark, and calculates the defecation score based on the comparison of the benchmark with the stool state of the stool that is the object of calculation (also called "target stool"). It should be noted that, as described above, the defecation score can be a numerical value calculated based on the stool property (stool state) such as type, shape, color, etc., or it can be information representing the stool property (stool state) itself such as type, shape, color, etc.

[0159] For example, the closer the state of the object stool is to the benchmark, the larger the defecation score calculated by the control unit 100. For example, the control unit 100 calculates the defecation score of the object stool as follows: the case where the state of the object stool is consistent with the benchmark is set to 100 points, and the farther the state of the object stool is from the benchmark, the smaller the value. For example, when the state of the object stool is consistent with the benchmark, the control unit 100 calculates the defecation score of the object stool as 100 points. For example, the farther the state of the object stool is from the benchmark, the smaller the defecation score of the object stool calculated by the control unit 100.

[0160] In addition, for example, the control unit 100 can mark the stool in a three-dimensional space (also referred to as a "stool state space") with each of the type, color, and amount as a dimension, and calculate the defecation score according to the position of the stool in the three-dimensional space (stool state space). For example, the control unit 100 can calculate the defecation score of the stool according to where the stool is located in the stool state space with each of the type, color, and amount as a dimension. For example, the control unit 100 can use the score of the position of the stool as the defecation score of the stool in the stool state space with each of the type, color, and amount as a dimension and a score assigned to each position.

[0161] <3. Processing Flow>

[0162] Below, use Figure 8 , the process of processing related to the implementation method is explained. Figure 8 This is a flowchart showing an example of the sequence of processing performed by the health management system. Figure 8 This is a flowchart showing an overview of the sequence of processing related to defecation information performed by the health management system. It should be noted that the following description will take the health management system 1 as the processing subject, but Figure 8 The processing shown may be performed by any device such as the control unit 100 , the external terminal 200 , or various sensors, depending on the device configuration included in the health management system 1 .

[0163] First, use Figure 8 , an overview of the processing flow related to defecation information of the health management system 1 is described.

[0164] The health management system 1 acquires defecation information corresponding to the defecation of the user (step S101 ). For example, the defecation sensor 60 of the health management system 1 acquires defecation information corresponding to the defecation of the user using the toilet bowl 10 .

[0165] Furthermore, the health management system 1 determines the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information (step S102). For example, the health management system 1 uses the defecation information acquired by the defecation sensor 60 to determine the defecation characteristics of the feces corresponding to the defecation information.

[0166] Then, the health management system 1 performs processing for displaying the defecation characteristics as time series data on the display unit (step S103). For example, the control unit 100 of the health management system 1 performs processing for displaying the defecation characteristics as time series data on the display unit 210 of the external terminal 200. For example, the control unit 100 sends information showing the defecation characteristics in time series to the external terminal 200 having the display unit 210. Then, the external terminal 200 that receives the information showing the defecation characteristics in time series from the control unit 100 displays the information showing the defecation characteristics in time series on the display unit 210.

[0167] In addition, the health management system 1 can perform the following processing: it can switch the display according to each specified period, and display the specified number of patterns with the highest frequency of the defecation pattern in the specified period on the display unit (step S104). For example, the control unit 100 of the health management system 1 performs the following processing: it can switch the display according to multiple periods such as days, weeks, months, and years, and display the specified number of patterns with the highest frequency of the defecation pattern in the display period such as days, weeks, months, and years on the display unit 210 of the external terminal 200. For example, the control unit 100 sends content showing the defecation pattern in a time series to the external terminal 200 having the display unit 210, wherein the content can be switched and displayed according to multiple periods such as days, weeks, months, and years. Then, the external terminal 200 displays the content showing the defecation pattern in a time series on the display unit 210, wherein the content can be switched and displayed according to multiple periods such as days, weeks, months, and years.

[0168] <4. Display example>

[0169] Below, use Figures 9 to 16 , we will explain the display examples of various information. First, use Figures 9 to 11 , an overall display example of health scores, etc. is explained. Fig. 9 It is a figure which shows the display example of a health score. Fig.10This is a diagram showing a display example of health-related information. Fig.11 2 is a diagram showing a display example according to a period. Hereinafter, a case where the target user is the user U1 and information is displayed on an external terminal 200 such as a smartphone used by the user U1 will be described as an example.

[0170] <4-1. Example of display of health score, etc.>

[0171] First, use Fig. 9 , an example of displaying the health score, etc. is described. For example, the control unit 100 displays information indicating the health score, health index, and bowel status on the external terminal 200 used by the user U1 for the user U1. The control unit 100 sends information indicating the health score, health index, and bowel status to the external terminal 200 used by the user U1 for the user U1. The external terminal 200 used by the user U1 displays the information indicating the health score, health index, and bowel status received from the control unit 100.

[0172] exist Fig. 9 In the embodiment, the control unit 100 generates content CT1 including information related to the health score, information related to the health index information, and information related to the defecation information for the user U1. Specifically, the control unit 100 generates content CT1 including information of each index IX1 to IX8 indicating the health score SC1, health index, and defecation status of the user U1.

[0173] Among them, indicators IX1 to IX5, IX7 and IX8 correspond to the health indicator HX, and indicator IX6 corresponds to the stool indicator DX. Specifically, indicator IX1 corresponds to the water level in the body, indicator IX2 corresponds to the physical fitness level, indicator IX3 corresponds to the relaxation level (stress state), and indicator IX4 corresponds to the metabolic level. In addition, indicator IX5 corresponds to the heart rhythm (normal heart rhythm), indicator IX6 corresponds to the stool state, indicator IX7 corresponds to the biological clock, and indicator IX8 corresponds to the blood circulation state (lower limb blood circulation state).

[0174] It should be noted that, when the indicators IX1 to IX5, IX7, and IX8 are not particularly distinguished for explanation, they may be described as "health indicator HX", and when the indicator IX6 is not particularly distinguished for explanation, they may be described as "stool indicator DX". In addition, when the indicators IX1 to IX8 are not particularly distinguished for explanation, they may be described as "indicator IX". It should be noted that the above indicators IX1 to IX8 are merely examples, and any indicators such as the indicator IX9 corresponding to the vascular age may be included.

[0175] In addition, the control unit 100 generates content CT1 including information indicating the date and time when the health score SC1 of the user U1 and each of the indicators IX1 to IX8 are obtained. For example, the control unit 100 calculates the health score at a predetermined time (once a day, etc.). The control unit 100 calculates the health score on July 22, 2022. Fig. 9 The "72" points shown are the health score SC1. The control unit 100 uses the scores corresponding to each of the indicators IX to calculate the health score SC1 as "72". The control unit 100 uses the health index scores of each of the indicators IX1 to IX5, IX7 and IX8, and the defecation score of the indicator IX6 to calculate the health score SC1 as "72". The control unit 100 generates a health score including the score indicating that the health score was calculated on July 22. Fig. 9 The point "72" shown is the content CT1 of the information of the health score SC1.

[0176] For example, the control unit 100 calculates the information of each index at the time of acquiring sensor information from the sensor. For example, the control unit 100 calculates the information of each index IX1 to IX8 4 hours before generating the content CT1. The control unit 100 generates the content CT1, which includes the information indicating Fig. 9 The information of the indicators IX1 to IX8 shown is information calculated 4 hours ago. It should be noted that the information indicating the date and time corresponding to each of the indicators IX1 to IX8 may be the date and time when the sensor information corresponding to each of the indicators IX1 to IX8 was acquired.

[0177] exist Fig. 9 In the example, the control unit 100 generates content CT1 including information indicating a relative evaluation of the health index HX of the indexes IX1 to IX5, IX7, and IX8 relative to a predetermined standard (also referred to as an "evaluation standard") of the information used to calculate the health score SC1 (also referred to as "first information"). For example, the control unit 100 generates content CT1 including information indicating a relative evaluation relative to an evaluation standard calculated using information older than the first information (also referred to as "second information") for the user U1.

[0178] exist Fig. 9 In the example, the control unit 100 generates content CT1 for the indicator IX1, and the content CT1 includes information indicating that the body water level is "90%" and the first information used to calculate the health score SC1 is higher than the evaluation criteria such as the average in the past. In addition, the control unit 100 generates content CT1 for the indicator IX5, and the content CT1 includes information indicating that the heart rate is "55bpm" and the first information used to calculate the health score SC1 is lower than the evaluation criteria such as the average in the past.

[0179] In addition, the control unit 100 generates content CT1 including information indicating that the type is "wrinkled", the color is "dark brown", and the amount is "medium" for the stool index DX, i.e., the index IX6. It should be noted that the above is only an example, and the control unit 100 can generate content CT1 including various information. For example, the control unit 100 can generate content CT1 including a health index score as information of each health index HX. For example, the control unit 100 can generate content CT1 including a defecation score as information of the stool index DX.

[0180] Then, the control unit 100 sends the content CT1 to the external terminal 200, and the external terminal 200 displays the received content CT1. The external terminal 200 displays the content CT1, which includes information related to the health score SC1 of the user U1, information related to the health index HX, and information related to the stool index DX. It should be noted that the health management system 1 can display the health index score as information of each health index HX.

[0181] In addition, Fig. 9 As an example, the case where the information of all indicator IDs used to calculate the health score SC1 has been obtained is shown. However, if the information of at least one indicator among all indicator IDs used to calculate the health score SC1 has not been obtained, the control unit 100 may not display the health score SC1. For example, if the information of at least one indicator among all indicator IDs used to calculate the health score SC1 has not been obtained, the control unit 100 generates content CT1 in which information indicating that the health score has not been calculated (such as "-", etc.) is configured at the position of the health score SC1. The control unit 100 configures "-" at the position of the health score SC1 and does not display the content CT1 of the health score SC1, and the external terminal 200 displays the content CT1 in which the health score SC1 is not displayed. The external terminal 200 displays the content CT1 in which "-" is configured at the position of the health score SC1 and does not display the health score SC1. Then, in the case where the information of all indicator IDs used to calculate the health score SC1 has been obtained, the health management system 1 displays the content CT1 including Fig. 9 The content CT1 of the calculated health score SC1 is shown.

[0182] <4-2. Examples of suggestions and highlights>

[0183] Next, use Fig.10 , and explain the display examples of suggestions (recommendations) and highlights.

[0184] For example, the control unit 100 determines the state of the user U1 based on at least one of the health score, health index information, and defecation information, and displays a recommendation message corresponding to the determined state of the user on the external terminal 200. The control unit 100 sends the recommendation message generated according to the state of the user U1 to the external terminal 200 used by the user U1. The external terminal 200 used by the user U1 displays the recommendation message received from the control unit 100.

[0185] For example, when the biological clock of the user U1 deviates by more than a predetermined threshold, the control unit 100 determines that the user U1 is in a sleep-deprived state, and generates a recommendation message RC1 urging the user U1 to get adequate sleep. Fig.10 In the example, the control unit 100 generates content CT1 including a recommendation message RC1 for urging the user U1 to get proper sleep.

[0186] For example, the control unit 100 causes the external terminal 200 used by the user U1 to perform highlighting for a certain period (e.g., 1 hour or 1 day) based on at least one of the health score, health index information, and defecation information of the user U1. The control unit 100 sends the highlighting information generated based on at least one of the health score, health index information, and defecation information to the external terminal 200 used by the user U1. The external terminal 200 used by the user U1 displays the highlighting information received from the control unit 100.

[0187] For example, when the proportion of defecation of the user U1 before 9:00 a.m. within a specified period (e.g., one month, etc.) is greater than a specified threshold, the control unit 100 generates highlight information HL1 indicating that the defecation rhythm of the user U1 is appropriate. Fig.10 In the above description, the control unit 100 generates content CT1 including highlight information HL1 indicating that the defecation of the user U1 is appropriate.

[0188] Then, the control unit 100 transmits the content CT1 to the external terminal 200, and the external terminal 200 displays the received content CT1. The external terminal 200 displays the content CT1 including the recommendation message RC1 for the user U1 and the highlight information HL1.

[0189] <4-3. Example of displaying health score history>

[0190] It should be noted that in Fig. 9 In the example, the case where only the latest calculated health score SC1 is displayed is described. The health management system 1 can display the history based on the health score. Fig.11 Provide explanation.

[0191] For example, the control unit 100 causes the time series information (also referred to as "health score time series") based on the historical records of the health score calculated within a specified period to be displayed on the external terminal 200 used by the user U1 for the user U1. The control unit 100 sends information representing the health score time series to the external terminal 200 used by the user U1 for the user U1, and the health score time series is obtained by statistically analyzing the health scores calculated in the past according to a specified period (for example, a week, a month, a year, etc.). The external terminal 200 used by the user U1 displays the information representing the health score time series received from the control unit 100. As shown in contents CT11 to CT13, the health management system 1 displays the health score time series by making a chart with the horizontal axis corresponding to time and the vertical axis corresponding to the health score.

[0192] exist Fig.11 In the above, the control unit 100 generates content CT11 for the user U1, and the content CT11 includes a health score time series for indicating the changes in the health score within a week. Specifically, the control unit 100 generates content CT11, and the content CT11 includes a health score time series that uses a bar graph to show the changes in the health score of the user U1 within seven days from Monday to Sunday (for example, the week including July 22). In addition, the control unit 100 sends the content CT11 to the external terminal 200, and the external terminal 200 displays the received content CT11. The external terminal 200 displays the content CT11, and the content CT11 includes a health score time series for indicating the changes in the health score of the user U1 within a week.

[0193] In addition, the control unit 100 generates content CT12 for the user U1, and the content CT12 includes a health score time series for indicating changes in the health score within one month. Specifically, the control unit 100 generates content CT12, and the content CT12 includes a health score time series that uses a bar graph to indicate changes in the health score of the user U1 within one month (for example, July 2022). And, the control unit 100 sends the content CT12 to the external terminal 200, and the external terminal 200 displays the received content CT12. The external terminal 200 displays the content CT12, and the content CT12 includes a health score time series for indicating changes in the health score of the user U1 within one month.

[0194] In addition, the control unit 100 generates content CT13 for the user U1, and the content CT13 includes a health score time series for indicating the change of the health score in one year. Specifically, the control unit 100 generates content CT13, and the content CT13 includes a health score time series that uses a bar graph to indicate the change of the health score of the user U1 in one year (for example, a year including July 2022). The control unit 100 generates content CT13, and the content CT13 includes a health score time series that indicates the change of the average value of the health score of each of the 12 months (January to December) in a year. And, the control unit 100 sends the content CT13 to the external terminal 200, and the external terminal 200 displays the received content CT13. The external terminal 200 displays the content CT13, and the content CT13 includes a health score time series for indicating the change of the health score of the user U1 in one year.

[0195] Furthermore, the control unit 100 generates content CT14 for the user U1, when the health score has not been obtained, and the content CT14 includes information urging the user U1 to use the toilet 10 in order to obtain the health score. Furthermore, the control unit 100 transmits the content CT14 to the external terminal 200, and the external terminal 200 displays the received content CT14. The external terminal 200 displays the content CT14, and the content CT14 includes information urging the user U1 to use the toilet 10 in order to obtain the health score.

[0196] It should be noted that the health management system 1 can switch and display the contents CT11 to CT13. The control unit 100 transmits the contents CT11 to CT13 to the external terminal 200, and the external terminal 200 displays the selected content among the contents CT11 to CT13 according to the selection of the user U1.

[0197] <4-4. Display examples of each indicator>

[0198] Below, use Figures 12 to 16 , the display examples of various indicators such as bowel status (stool index) or health index are explained. Figures 12 to 16 In the description, the case where the target user is the user U1 and the information is displayed on the external terminal 200 such as a smartphone used by the user U1 is taken as an example. It should be noted that the description of the same points as those described above is appropriately omitted.

[0199] <4-4-1. Example of time series display>

[0200] First, use Figure 12 to Figure 14, to illustrate a display example related to the bowel movement status. Among them, when displaying information for a long period of time such as months or years, sometimes too much information will be displayed. For example, when the time series of bowel movements in a year is displayed according to each month, the number of bowel movements corresponding to each month is large (about 30 in the case of once a day). If all of them are displayed, there will be too much information, and it will be difficult for the user to call it an appropriate display. Therefore, at least when displaying by month or year, the health management system 1 displays a specified number of patterns (also called "display number") with a large frequency among the patterns corresponding to the bowel movement characteristics within a specified period.

[0201] It should be noted that the "pattern" mentioned here refers to the combination of the type, color and amount of stool. For example, when there are seven types of stool, six types of stool color and three types of stool amount, the number of combinations of the type, color and amount of stool is "126 (=7×6×3)", and the patterns corresponding to the defecation characteristics are 126 patterns.

[0202] For example, when the prescribed period is set to one year and each month is used as a statistical unit to display the time series of defecation within a year, the control unit 100 counts the frequency (number of times) of each style for each month from January to December. For example, when the time series of defecation of the user U1 in 2021 is displayed on a monthly basis, the control unit 100 counts the frequency of each style for each of the 12 months from January to December 2021. For example, the control unit 100 uses the defecation history of the user U1 stored in the storage unit 120 to calculate the frequency of each style for each of the 12 months from January to December 2021. For example, if the user U1 had six bowel movements of type "type 4 (normal)", "medium" volume, and "light brown" color in January 2021, the control unit 100 calculates the frequency of the pattern of type "type 4 (normal)", "medium" volume, and "light brown" color in January 2021 as "6". In this way, the control unit 100 counts the frequency of each pattern for each of the 12 months from January to December 2021 for the user U1.

[0203] Then, the control unit 100 determines the styles of display quantity as display styles (also called "display object styles") for each of the 12 months from January to December 2021 for the user U1. For example, when the display quantity is "5", the control unit 100 determines 5 styles as display object styles for each of the 12 months from January to December 2021 for the user U1, starting from the style with the highest frequency. For example, in the bowel movement of the user U1 in January 2021, when the frequency "6" of the style with the type "Type 4 (Normal)", the quantity "Medium", and the color "Light Brown" is the 5th most frequent, the control unit 100 determines the 5 styles including the style with the type "Type 4 (Normal)", the quantity "Medium", and the color "Light Brown" as display object styles.

[0204] In addition, when there are multiple styles that are candidates for display, the health management system 1 determines the style to be displayed based on a predetermined criterion. When the number of displays is "5", when there are multiple styles with the fifth highest frequency, the health management system 1 determines the style to be displayed based on a predetermined criterion. For example, Fig.12 As shown, the health management system 1 determines the display target format to be displayed based on the priority order, and displays the information of the determined display target format.

[0205] Fig.12 : is a diagram showing an example of the priority order of stool characteristics. Specifically, Fig.12 A priority list is shown in which the rankings are assigned to each combination (pattern) of the type of stool, the color of stool, and the amount of stool. Fig.12 In the priority list shown, the pattern ranked 1st (top) represents a combination of type "Type 4 (Normal)", quantity "Lot", and color "Yellow". Fig.12 In the priority list shown, the style at the 63rd position represents a combination of type "type 6 (mud)", amount "medium", and color "khaki". Fig.12 In the priority list shown, the pattern at the 126th position (the lowest position) indicates a combination of type "type 1 (nut-shaped)", amount "small", and color "dark brown".

[0206] exist Fig.12 In the example of , the health management system 1 displays the style based on the priority arranged in the order of type, amount, and color. For example, the control unit 100 uses Fig.12For example, the control unit 100 determines the display object style by referring to the priority list stored in the storage unit 120. For example, when there are multiple styles corresponding to the display quantity and in the order of rank, the control unit 100 determines the display object style using the priority list.

[0207] Take the following situation as an example: for user U1, in the bowel movements in February 2021, the frequency of the first style of type "type 3 (wrinkled)", quantity "little", and color "light brown", and the frequency of the second style of type "type 4 (normal)", quantity "large", and color "light brown" "6" are both "6" and are the fifth most frequent. In this case, when the display quantity is "5", since the first style is ranked "52" and the second style is ranked "4", the control unit 100 determines the second style as the display object style. Thus, the control unit 100 determines the five styles including the second style of type "type 4 (normal)", quantity "large", and color "light brown" as the display object styles in the bowel movements of user U1 in February 2021. That is, the control unit 100 does not determine the first style of "type 3 (wrinkled)", "little", and "light brown" as the display target style in the defecation of the user U1 in February 2021.

[0208] In the case of displaying the period in days, the health management system 1 displays all the bowel movement patterns of the users on the target day (within one day). In the case of displaying the period in days, the control unit 100 determines all the bowel movement patterns of the users on the target day (within one day) as the display target patterns. It should be noted that, in the case of displaying the period in weeks, the health management system 1 can display all the bowel movement patterns of the users on the target week (one week), or can display the patterns in order of the number of patterns to be displayed, starting from the most frequent patterns among the bowel movement patterns of the users on the target week (one week). That is, in the case of displaying the period in weeks, the health management system 1 can display the same as the case of displaying the period in days, or can display the same as the case of displaying the period in months or years.

[0209] Then, the control unit 100 generates a display object pattern by taking the determined display object pattern as an object. Fig.13 The contents shown are CT21 to CT24, etc. Fig.131 is a diagram showing an example of a time series display. It should be noted that the contents CT21 to CT24 show the display mode, and do not limit the number of styles displayed. In addition, when the contents CT21 to CT24 are not particularly distinguished for description, they are sometimes recorded as "content CT20". The control unit 100 sends the content CT20 to the external terminal 200, and the external terminal 200 displays the content CT20.

[0210] As shown in content CT20, the health management system 1 displays the time series of stools by making a chart with the horizontal axis corresponding to time and the vertical axis corresponding to the type of stool. The circular points in content CT20 correspond to the styles of stools, respectively. The position of the circular points in the up and down directions indicates the type of stool, the color of the circular points indicates the color of the stool, and the size of the circular points indicates the amount of stool. For example, the circular point at the 4 o'clock position on the horizontal axis in content CT21 indicates that it belongs to the time period corresponding to 4 o'clock on July 20, and the type of stool is "Type 4 (normal)", the amount is "small", and the color is "khaki". In this way, for the stool status (stool index), the health management system 1 indicates the color of the stool by the color of the marked point, indicates the amount by the size, and indicates the type of stool by its position in the vertical axis. As a result, the health management system 1 can simultaneously display three elements (information) in a two-dimensional chart. It should be noted that in Fig.13 In the content CT20, the density of the hatching indicates the color of the stool, and the denser the hatching, the darker the color. In addition, the content CT20 includes the top 3 information (superordinate style information) indicating the most common styles of stools in the corresponding period of the day, week, month, and year. For example, in Fig.13 In the content CT20, the upper style information is arranged at the lower part of the information representing the defecation time series. It should be noted that in the statistics of the upper style information, any style can be taken as the object, for example, the combination (style) of the type, amount and color of the stool can be taken as the object, or the combination (style) of the type and color of the stool can be taken as the object.

[0211] For example, the control unit 100 causes the content CT20 to be displayed on the external terminal 200 used by the user U1, wherein the content CT20 shows the pattern of defecation counted according to a specified statistical unit for a specified target period (for example, a day, a week, a month, a year, etc.). The control unit 100 sends information representing the defecation time series to the external terminal 200 used by the user U1, wherein the defecation time series is obtained by counting the defecation information acquired in the past according to the specified target period (for example, a day, a week, a month, a year, etc.). The external terminal 200 used by the user U1 displays information representing the defecation time series received from the control unit 100.

[0212] exist Fig.13 In the embodiment, the control unit 100 generates content CT21 for user U1, wherein the content CT21 includes a defecation time series representing the defecation style of a day. Specifically, the control unit 100 generates content CT21 including a defecation time series, wherein the defecation time series is represented by a chart (bubble chart, etc.) in which the display object styles of user U1 within a day (for example, July 20) are marked with circular dots. In addition, the control unit 100 sends the content CT21 to the external terminal 200, and the external terminal 200 displays the received content CT21. The external terminal 200 displays the content CT21 including the defecation time series, wherein the defecation time series shows the defecation style of user U1 within a day. In addition, the external terminal 200 displays content CT21 including upper-level style information, wherein the upper-level style information represents three (i.e., the first, second, and third) styles starting from the style with the highest number of times (frequency) among the defecation styles of user U1 within a day.

[0213] In addition, the control unit 100 generates content CT22 for the user U1, and the content CT22 includes a defecation time series for representing the style of defecation within a week. Specifically, the control unit 100 generates content CT22 including the defecation time series, wherein the defecation time series is represented by a chart in which the display object styles of the user U1 within seven days from Monday to Sunday (for example, the week including July 20) are marked with circular dots. And, the control unit 100 sends the content CT22 to the external terminal 200, and the external terminal 200 displays the received content CT22. The external terminal 200 displays the content CT22 including the defecation time series, wherein the defecation time series shows the style of defecation of the user U1 within a week. In addition, the external terminal 200 displays the content CT22 including the upper-level style information, wherein the upper-level style information represents three styles starting from the most frequent style among the styles of the defecation of the user U1 within a week.

[0214] In addition, the control unit 100 generates content CT23 for the user U1, and the content CT23 includes a defecation time series showing the style of the defecation within one month. Specifically, the control unit 100 generates content CT23 including the defecation time series, wherein the defecation time series is represented by a chart in which the display object styles of the user U1 within one month (for example, July 2022) are marked with circular dots. And, the control unit 100 sends the content CT23 to the external terminal 200, and the external terminal 200 displays the received content CT23. The external terminal 200 displays the content CT23 including the defecation time series, wherein the defecation time series represents the style of the defecation of the user U1 within one month. In addition, the external terminal 200 displays the content CT23 including the upper-level style information, wherein the upper-level style information represents three styles starting from the most frequent style among the styles of the defecation of the user U1 within one month.

[0215] In addition, the control unit 100 generates content CT24 for the user U1, and the content CT24 includes a defecation time series showing the style of the stool in one year. Specifically, the control unit 100 generates content CT24 including a defecation time series, wherein the defecation time series is represented by a chart in which the display object style of the user U1 in one year (for example, the year including July 2022) is marked with circular dots. The control unit 100 generates content CT24, and the content CT24 includes a defecation time series showing the style of the stool in each of the 12 months (January to December) of the year. And, the control unit 100 sends the content CT24 to the external terminal 200, and the external terminal 200 displays the received content CT24. The external terminal 200 displays the content CT24, and the content CT24 includes the defecation time series showing the style of the stool of the user U1 in one year. Furthermore, the external terminal 200 displays the content CT24 including upper style information indicating three styles starting from the most frequent style among the styles used by the user U1 in one year.

[0216] It should be noted that even if the display quantity of each statistical unit such as month or year is limited, when the number of bowel movements of the statistical unit does not meet the display quantity, the health management system 1 displays all the bowel movement styles of the statistical unit. For example, even if the period is within one year and the display quantity is limited to "5", when the statistical unit is a month and the number of bowel movements in February is "3", the health management system 1 displays all three styles of February as display object styles.

[0217] As described above, the health management system 1 displays contents CT21 to CT24 for the bowel movement status (stool index). For example, when the user U1 selects the index IX6 in the content CT1, the health management system 1 displays the content CT21. The health management system 1 can display the contents CT21 to CT24 in a manner that enables switching. The control unit 100 sends the contents CT21 to CT24 to the external terminal 200, and the external terminal 200 displays the selected content CT20 among the contents CT21 to CT24 according to the selection of the user U1. For example, when the user U1 selects the area marked as "week" in the content CT20, the external terminal 200 displays the content CT22.

[0218] In addition, the health management system 1 can display an explanation of the stool characteristics. In this regard, use Fig.14 Provide explanation. Fig.14 It is a diagram showing an example of the explanation display of the stool characteristics. It should be noted that when the contents CT31 to CT33 are not particularly distinguished for explanation, they may be described as "content CT30". The control unit 100 transmits the content CT30 to the external terminal 200, and the external terminal 200 displays the content CT30.

[0219] Fig.14 The content CT31 in the content CT31 shows an example of displaying information related to the type of stool. In addition, the content CT31 includes information indicating the type of stool obtained last. The content CT31 includes text information, which is an explanatory text of information indicating what the type of stool means. For example, the content CT31 includes information indicating that the type of stool in the latest bowel movement performed by the user U1 4 hours ago was type 4 (normal).

[0220] also, Fig.14 The content CT32 in the content CT32 shows an example of displaying information related to the amount of stool. In addition, the content CT32 includes information indicating the amount of stool acquired last. The content CT32 includes text information, which is an explanatory text of information indicating what the amount of stool means. For example, the content CT32 includes information indicating that the amount of stool in the latest bowel movement performed by the user U1 4 hours ago was medium.

[0221] also, Fig.14 The content CT33 in the content CT33 shows an example of displaying information related to the color of stool. In addition, the content CT33 includes information indicating the color of stool acquired last. The content CT33 includes text information, which is an explanatory text indicating the meaning of the color of stool. For example, the content CT33 includes information indicating that the color of stool in the latest bowel movement performed by the user U1 4 hours ago was khaki.

[0222] As described above, the health management system 1 displays contents CT31 to CT33 for the description of the stool status (stool index). For example, when the user U1 selects an icon for information display (e.g., a circled i icon) in the content CT20, the health management system 1 displays the content CT31. The health management system 1 can display the contents CT31 to CT33 in a manner that allows switching. The control unit 100 sends the contents CT31 to CT33 to the external terminal 200, and the external terminal 200 displays the selected content CT30 among the contents CT31 to CT33 according to the selection of the user U1. For example, when the user U1 selects the area labeled "stool color" in the content CT30, the external terminal 200 displays the content CT33.

[0223] <4-4-2. Example of time series display of health indicators>

[0224] In addition, the health management system 1 also displays the health indicators in a time series in the same way as the bowel status. For example, the health management system 1 obtains health indicator information based on the user's biometric information, calculates a health indicator score that quantifies the health indicator information, and displays the calculated health indicator score as time series data. The health management system 1 displays the average value of each specified period as a trend. In this way, the health management system 1 uses the average value of the health indicator as the display object, so that the trend of the health indicator can be easily understood by the user. For an example of a time series display of health indicators, use Fig.15 and Fig.16 to explain. Fig.15 and Fig.16 This is a diagram showing an example of a time series display of health indicators.

[0225] First, use Fig.15 , the case where information related to health indicators is displayed in time series using a line graph is described as an example. Fig.15 An example of a time series display of health indicators based on a line graph is shown. Fig.15 In this article, we will use the example of body water level as a health indicator.

[0226] For example, when the prescribed period is set to one year and each month is used as a statistical unit to display the body water level in a time series within one year, the control unit 100 calculates the average body water level of each month from January to December. For example, when the time series of the body water level of the user U1 in 2021 is displayed on a monthly basis, the control unit 100 calculates the average body water level of each of the 12 months from January to December 2021. For example, the control unit 100 uses the body water level history of the user U1 stored in the storage unit 120 to calculate the average body water level of each of the 12 months from January to December 2021.

[0227] Then, the control unit 100 generates a value using the calculated average value of the body water level of each statistical unit. Fig.15 The contents CT41 to CT44 are shown. When the contents CT41 to CT44 are described without being particularly distinguished, they may be described as “content CT40”. The control unit 100 transmits the content CT40 to the external terminal 200, and the external terminal 200 displays the content CT40.

[0228] For example, the control unit 100 causes the content CT40 to be displayed on the external terminal 200 used by the user U1, wherein the content CT40 shows the body moisture level calculated according to a specified statistical unit for a specified target period (for example, a day, a week, a month, a year, etc.). The control unit 100 sends information indicating a time series of body moisture levels to the external terminal 200 used by the user U1, wherein the time series of body moisture levels is obtained by calculating body moisture levels obtained in the past for a specified target period (for example, a day, a week, a month, a year, etc.). The external terminal 200 used by the user U1 displays information indicating the time series of body moisture levels received from the control unit 100. In addition, the content CT40 includes information (average state information) indicating a state based on an average value of a corresponding period in a day, a week, a month, or a year. For example, in Fig.15 In the content CT40, the average state information of the body water level is arranged below the information for indicating the time series of the body water level.

[0229] exist Fig.15In the embodiment, the control unit 100 generates content CT41 for the user U1, and the content CT41 includes a body moisture level time series showing the changes in the body moisture level within a day. Specifically, the control unit 100 generates content CT41 including a body moisture level time series, wherein the body moisture level time series shows the average value of the body moisture level of the user U1 within a day (for example, July 20) through a line graph. In addition, the control unit 100 sends the content CT41 to the external terminal 200, and the external terminal 200 displays the received content CT41. The external terminal 200 displays the content CT41 including the body moisture level time series, wherein the body moisture level time series shows the changes in the body moisture level of the user U1 within a day. In addition, the external terminal 200 displays content CT41 including information on the average state of the body moisture level, wherein the information on the average state of the body moisture level is obtained based on the average value of the body moisture level of the user U1 within a day.

[0230] In addition, the control unit 100 generates content CT42 for the user U1, and the content CT42 includes a body moisture level time series showing the changes in the body moisture level within a week. Specifically, the control unit 100 generates content CT42 including a body moisture level time series, wherein the body moisture level time series shows the average value of the body moisture level of the user U1 within seven days from Monday to Sunday (for example, the week including July 20) through a line graph. And the control unit 100 sends the content CT42 to the external terminal 200, and the external terminal 200 displays the received content CT42. The external terminal 200 displays the content CT42 including the body moisture level time series, wherein the body moisture level time series shows the changes in the body moisture level of the user U1 within a week. In addition, the external terminal 200 displays content CT42 including the average state information of the body moisture level, wherein the average state information of the body moisture level is obtained based on the average value of the body moisture level of the user U1 within a week.

[0231] In addition, the control unit 100 generates content CT43 for the user U1, and the content CT43 includes a body moisture level time series showing the changes in the body moisture level within one month. Specifically, the control unit 100 generates content CT43 including a body moisture level time series, wherein the body moisture level time series shows the average value of the body moisture level of the user U1 within one month (for example, July 2022) through a line graph. And the control unit 100 sends the content CT43 to the external terminal 200, and the external terminal 200 displays the received content CT43. The external terminal 200 displays the content CT43 including the body moisture level time series, wherein the body moisture level time series shows the changes in the body moisture level of the user U1 within one month. In addition, the external terminal 200 displays content CT43 including average state information of the body moisture level, wherein the average state information of the body moisture level is obtained based on the average value of the body moisture level of the user U1 within one month.

[0232] In addition, the control unit 100 generates content CT44 for the user U1, and the content CT44 includes a body moisture level time series showing the transition of the body moisture level within a year. Specifically, the control unit 100 generates content CT44 including a body moisture level time series, wherein the body moisture level time series shows the average value of the body moisture level of the user U1 within a year (for example, the year including July 2022) through a line graph. The control unit 100 generates content CT44 including a body moisture level time series, wherein the body moisture level time series shows the transition of the body moisture level of the month for each of the 12 months (January to December) of the year. Then, the control unit 100 sends the content CT44 to the external terminal 200, and the external terminal 200 displays the received content CT44. The external terminal 200 displays the content CT44 including the body moisture level time series, wherein the body moisture level time series shows the transition of the body moisture level of the user U1 within a year. Furthermore, the external terminal 200 displays content CT44 including information on the average state of the body moisture level based on the average value of the body moisture level of the user U1 for one year.

[0233] As described above, the health management system 1 displays contents CT41 to CT44 for the body water level (health index). For example, when the user U1 selects the index IX1 in the content CT1, the health management system 1 displays the content CT41. The health management system 1 can display the contents CT41 to CT44 in a manner that can switch. The control unit 100 sends the contents CT41 to CT44 to the external terminal 200, and the external terminal 200 displays the selected content CT40 among the contents CT41 to CT44 according to the selection of the user U1. For example, when the user U1 selects the area marked as "week" in the content CT40, the external terminal 200 displays the content CT42.

[0234] Next, use Fig.16 , a case where information related to health indicators is displayed in time series using a bar graph is described as an example. Fig.16 An example of a time series display of health indicators based on a bar graph is shown. Fig.16 In this article, we will use physical fitness level as an example of a health indicator.

[0235] For example, when the prescribed period is set to one year and each month is used as a statistical unit to display the physical fitness level in a time series within one year, the control unit 100 calculates the average value of the physical fitness level of each month from January to December. For example, when the time series of the physical fitness level of the user U1 in 2021 is displayed on a monthly basis, the control unit 100 calculates the average value of the physical fitness level of each of the 12 months from January to December 2021. For example, the control unit 100 uses the physical fitness level history record of the user U1 stored in the storage unit 120 to calculate the average value of the physical fitness level of each of the 12 months from January to December 2021.

[0236] Then, the control unit 100 generates a Fig.16 The contents CT51 to CT54 are shown. When the contents CT51 to CT54 are described without being particularly distinguished, they may be described as “content CT50”. The control unit 100 transmits the content CT50 to the external terminal 200, and the external terminal 200 displays the content CT50.

[0237] For example, the control unit 100 causes the content CT50 to be displayed on the external terminal 200 used by the user U1, wherein the content CT50 shows the physical fitness level calculated according to the prescribed statistical unit for a prescribed target period (for example, day, week, month, year, etc.). The control unit 100 sends information representing a time series of the physical fitness level to the external terminal 200 used by the user U1, wherein the time series of the physical fitness level is calculated based on the physical fitness levels acquired in the past for a prescribed target period (for example, day, week, month, year, etc.). The external terminal 200 used by the user U1 displays the information representing the time series of the physical fitness level received from the control unit 100. In addition, the content CT50 includes information (average state information) for representing a state based on the average value of the corresponding period in the day, week, month, year. For example, in Fig.16 In the content CT50, the average state information of the physical fitness level is arranged below the information for indicating the time series of the physical fitness level.

[0238] exist Fig.16 In the above, the control unit 100 generates content CT51 for the user U1, and the content CT51 includes a physical fitness level time series showing the changes in the physical fitness level within a day. Specifically, the control unit 100 generates content CT51 including a physical fitness level time series, wherein the physical fitness level time series shows the average value of the physical fitness level of the user U1 within a day (for example, July 20) through a bar graph. In addition, the control unit 100 sends the content CT51 to the external terminal 200, and the external terminal 200 displays the received content CT51. The external terminal 200 displays the content CT51 including the physical fitness level time series, wherein the physical fitness level time series shows the changes in the physical fitness level of the user U1 within a day. In addition, the external terminal 200 displays content CT51 including average state information of the physical fitness level, wherein the average state information of the physical fitness level is obtained based on the average value of the physical fitness level of the user U1 within a day.

[0239] In addition, the control unit 100 generates content CT52 for the user U1, and the content CT52 includes a physical fitness level time series showing the changes in the physical fitness level within a week. Specifically, the control unit 100 generates content CT52 including a physical fitness level time series, wherein the physical fitness level time series shows the average value of the physical fitness level of the user U1 within seven days from Monday to Sunday (for example, the week including July 20) through a bar graph. And, the control unit 100 sends the content CT52 to the external terminal 200, and the external terminal 200 displays the received content CT52. The external terminal 200 displays the content CT52 including the physical fitness level time series, wherein the physical fitness level time series shows the changes in the physical fitness level of the user U1 within a week. In addition, the external terminal 200 displays content CT52 including average state information of the physical fitness level, wherein the average state information of the physical fitness level is obtained based on the average value of the physical fitness level of the user U1 within a week.

[0240] In addition, the control unit 100 generates content CT53 for the user U1, and the content CT53 includes a physical fitness level time series showing the changes in the physical fitness level within one month. Specifically, the control unit 100 generates content CT53 including a physical fitness level time series, wherein the physical fitness level time series shows the average value of the physical fitness level of the user U1 within one month (for example, July 2022) through a bar graph. And, the control unit 100 sends the content CT53 to the external terminal 200, and the external terminal 200 displays the received content CT53. The external terminal 200 displays the content CT53 including the physical fitness level time series, wherein the physical fitness level time series shows the changes in the physical fitness level of the user U1 within one month. In addition, the external terminal 200 displays content CT53 including average state information of the physical fitness level, wherein the average state information of the physical fitness level is based on the average value of the physical fitness level of the user U1 within one month.

[0241] In addition, the control unit 100 generates content CT54 for the user U1, and the content CT54 includes a physical fitness level time series showing the changes in the physical fitness level within a year. Specifically, the control unit 100 generates content CT54 including a physical fitness level time series, wherein the physical fitness level time series shows the average value of the physical fitness level of the user U1 within a year (for example, the year including July 2022) through a bar graph. The control unit 100 generates content CT54 including a physical fitness level time series, wherein the physical fitness level time series shows the changes in the physical fitness level of each month for each of the 12 months (January to December) of the year. And, the control unit 100 sends the content CT54 to the external terminal 200, and the external terminal 200 displays the received content CT54. The external terminal 200 displays the content CT54 including the physical fitness level time series, wherein the physical fitness level time series shows the changes in the physical fitness level of the user U1 within a year. Furthermore, the external terminal 200 displays the content CT54 including the average state information of the physical fitness level based on the average value of the physical fitness level of the user U1 in one year.

[0242] As described above, the health management system 1 displays contents CT51 to CT54 for the physical fitness level (health index). For example, when the user U1 selects the index IX2 in the content CT1, the health management system 1 displays the content CT51. The health management system 1 can display the contents CT51 to CT54 in a manner that can switch. The control unit 100 sends the contents CT51 to CT54 to the external terminal 200, and the external terminal 200 displays the selected content CT50 among the contents CT51 to CT54 according to the selection of the user U1. For example, when the user U1 selects the area recorded as "week" in the content CT50, the external terminal 200 displays the content CT52.

[0243] In the above example, the display example is described for the two health indicators of body water level and physical fitness level, but the health management system 1 also displays other health indicators such as heart rate, stress status, blood circulation status, metabolic level, vascular age, and biological clock in the same time series. In addition, the above display is only an example, and the health management system 1 can display various indicators such as stool status (stool index) or health indexes in various display methods.

[0244] It should be noted that the above-mentioned embodiments and modifications can be appropriately combined within a range where there is no contradiction in the processing contents.

[0245] In the above-mentioned embodiments and variations, examples of automatically acquiring information of each indicator are described, but the information of each indicator can be manually input by the user. For example, in the case where the user manually inputs information related to stool, the user confirms the stool by visual or olfactory sense after defecation, and can input information related to stool by operating the external terminal 200 by the user himself.

[0246] Further effects or variations can be easily derived by those skilled in the art. Therefore, the broader aspects of the present invention are not limited to the specific details and representative embodiments described above. Therefore, various changes can be implemented without departing from the concept or scope of the general invention defined by the attached technical solutions and their equivalents.

[0247] The above-mentioned embodiments and modifications may have the following configurations, but are not limited to the following configurations.

[0248] (1) A health management system, characterized in that it has:

[0249] a defecation information acquisition unit that acquires defecation information corresponding to the defecation of the user;

[0250] a defecation state determination unit for determining, based on the defecation information acquired by the defecation information acquisition unit, a defecation property of the defecation corresponding to the defecation information;

[0251] A display unit capable of being viewed by the user; and

[0252] a display processing unit that performs processing for displaying the defecation characteristics determined by the defecation state determination unit as time series data on the display unit,

[0253] The display processing unit can switch the display for each predetermined period, and execute processing for displaying a predetermined number of patterns with a high frequency of bowel movement patterns within the predetermined period on the display unit.

[0254] (2) The health management system according to (1), characterized in that:

[0255] The display processing unit performs processing to display on the display unit in a switchable manner according to day, week, month, and year.

[0256] (3) The health management system according to (1) or (2), characterized in that:

[0257] The display processing unit performs processing for displaying a predetermined number of patterns with a high frequency of patterns corresponding to the defecation characteristics within the predetermined period on the display unit at least when displaying by month or year.

[0258] (4) The health management system according to any one of (1) to (3), characterized in that:

[0259] The display processing unit displays all defecation characteristics of the user determined by the defecation status determination unit at least in the case of daily display.

[0260] (5) The health management system according to any one of (1) to (4), characterized in that:

[0261] The defecation state determination unit determines the defecation characteristics, which include the type, amount, and color of defecation.

[0262] The display processing unit performs processing for displaying on the display unit in a style corresponding to a combination of the type, the amount, and the color.

[0263] (6) The health management system according to (5), characterized in that:

[0264] The display processing unit performs processing for displaying the pattern on the display unit based on the priority order of the type, the amount, and the color.

[0265] (7) A health management method, characterized in that it comprises the following steps:

[0266] A defecation information acquisition step of acquiring defecation information corresponding to the user's defecation;

[0267] a defecation state determination step for determining, based on the defecation information acquired by the defecation information acquisition step, a defecation property corresponding to the defecation information; and

[0268] a display processing step for executing processing to display the defecation characteristics determined by the defecation state determination step as time series data on a display unit that can be viewed by the user;

[0269] The display processing step can switch the display according to each specified period, and execute processing to display a specified number of patterns with a high frequency of bowel movement patterns within the specified period on the display unit.

[0270] (8) A health management system, characterized in that it has:

[0271] a defecation information acquisition unit that acquires defecation information corresponding to the defecation of the user;

[0272] a defecation state determination unit for determining, based on the defecation information acquired by the defecation information acquisition unit, a defecation property of the defecation corresponding to the defecation information;

[0273] A display unit capable of being viewed by the user; and

[0274] a display processing unit that performs processing for displaying the defecation characteristics determined by the defecation state determination unit as time series data on the display unit,

[0275] The defecation state determination unit determines the type, amount, and color of the stool.

[0276] The display processing unit performs the following processing: a time series display of stool is performed by making a graph with the horizontal axis corresponding to time and the vertical axis corresponding to the type of stool, and the color of each point included in the graph represents the color of the stool, and the size of each point represents the amount of stool.

[0277] Explanation of symbols:

[0278] 1. Health Management System

[0279] 4 toilets

[0280] 4b Upper surface

[0281] 10 Toilet (Toilet System)

[0282] 12 Main body

[0283] 14 Toilet Seat

[0284] 20 toilet seats

[0285] 20a Opening

[0286] 21 seating surface

[0287] 25 Bottom

[0288] 40 Biosensor (Biological Information Acquisition Unit)

[0289] 50 Seat sensor (electrostatic sensor)

[0290] 60 Defecation Sensor

[0291] 70 Timing Department

[0292] 100 Control unit (information processing device)

[0293] 110 Acquisition Department

[0294] 120 Storage

[0295] 130 Health Index Calculation Department

[0296] 140 Defecation information calculation unit (defecation state determination unit)

[0297] 150 Health status calculation unit

[0298] 160 Display processing unit

[0299] 161 Health status display processing unit

[0300] 162 Health indicator display processing unit

[0301] 163 Defecation status display processing unit

[0302] 164 Measuring status display processing unit

[0303] 165 Message display processing unit

[0304] 166 Highlight processing unit

[0305] 190 Ministry of Communications

[0306] 200 External terminal

[0307] CL Cloud.

Claims

1. A health management system, characterized in that: It has: a defecation information acquisition unit that acquires defecation information corresponding to the defecation of the user; a defecation state determination unit for determining, based on the defecation information acquired by the defecation information acquisition unit, a defecation property of the defecation corresponding to the defecation information; A display unit capable of being viewed by the user; as well as a display processing unit that performs processing for displaying the defecation characteristics determined by the defecation state determination unit as time series data on the display unit, The display processing unit can switch the display for each predetermined period, and can execute processing to display a predetermined number of patterns with a high frequency of bowel movement patterns within the predetermined period on the display unit.

2. The health management system according to claim 1, characterized in that: The display processing unit performs processing for displaying on the display unit in a switchable manner according to day, week, month, and year.

3. The health management system according to claim 1, characterized in that: The display processing unit performs processing for displaying a predetermined number of patterns with high frequency among the patterns corresponding to the defecation characteristics within the predetermined period on the display unit at least in the case of displaying by month or year.

4. The health management system according to claim 1, characterized in that: The display processing unit displays all the defecation characteristics of the user determined by the defecation status determination unit at least in the case of daily display.

5. The health management system according to any one of claims 1 to 4, characterized in that: The defecation state determination unit determines the defecation characteristics, which include the type, amount, and color of defecation. The display processing unit performs processing for displaying on the display unit in a style corresponding to a combination of the type, the amount, and the color.

6. The health management system according to claim 5, characterized in that: The display processing unit performs processing for displaying the style on the display unit based on the priority order of the type, the amount, and the color.

7. A health management method, characterized in that: It includes the following steps: A defecation information acquisition step of acquiring defecation information corresponding to the user's defecation; a defecation state determination step, for determining the defecation characteristics of the defecation corresponding to the defecation information based on the defecation information acquired by the defecation information acquisition step; as well as a display processing step for executing processing to display the defecation characteristics determined by the defecation state determination step as time series data on a display unit that can be viewed by the user, The display processing step can switch the display according to each specified period, and execute processing to display a specified number of patterns with a high frequency of bowel movement patterns within the specified period on the display unit.

8. A health management system, characterized in that: It has: a defecation information acquisition unit that acquires defecation information corresponding to the defecation of the user; a defecation state determination unit for determining, based on the defecation information acquired by the defecation information acquisition unit, a defecation property of the defecation corresponding to the defecation information; A display unit capable of being viewed by the user; as well as a display processing unit that performs processing for displaying the defecation characteristics determined by the defecation state determination unit as time series data on the display unit, The defecation state determination unit determines the type, amount, and color of the stool. The display processing unit performs the following processing: a time series display of stool is performed by making a graph with the horizontal axis corresponding to time and the vertical axis corresponding to the type of stool, and the color of each point included in the graph represents the color of the stool, and the size of each point represents the amount of stool.

Images