Health management system, toilet seat device, and toilet device
The integration of excrement detection units in toilet seat devices simplifies health management systems by using existing components for feces detection, enabling accurate menstrual cycle estimation without additional sensors, thus reducing costs and complexity.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- TOTO LTD
- Filing Date
- 2024-11-25
- Publication Date
- 2026-06-04
AI Technical Summary
Existing health management systems require complex and costly implementations to estimate menstrual cycle information, particularly for women, as they often necessitate additional sensors for feces detection.
A health management system utilizing a toilet seat device equipped with an excrement detection unit, such as an image sensor or line sensor, to capture images or detect feces, which determines the presence, amount, and characteristics of stool, enabling estimation of menstrual cycle information without the need for separate sensors.
Simplifies the implementation of health management systems by using existing toilet seat components for feces detection, reducing costs and complexity while accurately estimating menstrual cycle information.
Smart Images

Figure 2026091671000001_ABST
Abstract
Description
Technical Field
[0001] Aspects of the present invention generally relate to a health management system, a toilet seat device, and a toilet device.
Background Art
[0002] There is a health management system that determines the user's feces based on an image taken inside the toilet bowl.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] For example, a woman manages information regarding her menstrual cycle (e.g., menstrual cycle). Therefore, it is conceivable to estimate information regarding the user's menstrual cycle in a health management system. It is desired to simply implement such a system.
[0005] The present invention has been made based on the recognition of such problems, and an object thereof is to provide a health management system, a toilet seat device, and a toilet device that are easily implemented simply.
Means for Solving the Problems
[0006] A first invention includes an excrement detection unit that detects feces in a toilet, a processing unit that determines the user's feces based on data acquired by the excrement detection unit, and a notification unit. The processing unit estimates information regarding the user's menstrual cycle based on data acquired by the excrement detection unit, and the notification unit performs notification based on the information regarding the user's menstrual cycle estimated by the processing unit. A health management system characterized by that.
[0007] According to this health management system, it is possible to estimate information about the user's menstrual cycle by using a waste detection unit that acquires data for determining the condition of stool, making it easier to realize a health management system that estimates information about the menstrual cycle.
[0008] The second invention is a health management system characterized in that, in the first invention, the excrement detection unit includes an image sensor, the image sensor captures an area including the water seal in the toilet bowl, the processing unit determines at least one of the presence, amount, and characteristics of the user's stool based on the image captured by the image sensor, and estimates information regarding the user's menstrual cycle based on the information of the water seal contained in the image captured by the image sensor.
[0009] According to this health management system, information about the user's menstrual cycle can be estimated based on images taken of the water seal by an image sensor that captures images used to determine at least one of the following: the presence, amount, and characteristics of stool. Since it does not require a separate sensor for estimating menstrual cycle information, the health management system can be easily implemented.
[0010] The third invention is a health management system in which, in the second invention, the information of the water seal includes at least one of the color of the water seal and the color of the objects contained in the water seal.
[0011] According to this health management system, information about the user's menstrual cycle can be estimated based on color information of the water seal and objects within it, captured by an image sensor that takes images used to determine at least one of the following: the presence, amount, and characteristics of stool. Since it does not require a separate sensor for estimating menstrual cycle information, the health management system can be easily implemented.
[0012] The fourth invention is a health management system characterized in that, in the first invention, the excrement detection unit includes a line sensor, which detects at least one of feces and other objects falling into the toilet bowl, the processing unit determines at least one of the presence, amount, and characteristics of the user's feces based on the information obtained by the line sensor, and estimates information regarding the user's menstrual cycle based on the information of the objects falling included in the information obtained by the line sensor.
[0013] According to this health management system, information about the user's menstrual cycle can be estimated based on information about fallen objects obtained by line sensors that acquire information used to determine at least one of the following: the presence, quantity, and characteristics of stool. Since it does not require a separate sensor to estimate menstrual cycle information, the health management system can be easily implemented.
[0014] The fifth invention is a health management system characterized in that, in the fourth invention, the information of the falling object includes the color of the falling object.
[0015] According to this health management system, information about the user's menstrual cycle can be estimated based on the color information of fallen objects obtained by a line sensor that acquires information used to determine at least one of the following: the presence, amount, and characteristics of stool. Since it does not require a separate sensor to estimate menstrual cycle information, the health management system can be easily implemented.
[0016] The sixth invention is a health management system characterized in that, in the fifth invention, the toilet is capable of performing a bidet wash for cleaning the female genitalia, and the falling object includes a liquid that falls during or after the bidet wash.
[0017] According to this health management system, information about the user's menstrual cycle can be estimated based on the color of a falling liquid obtained by a line sensor that acquires information used to determine at least one of the following: the presence, quantity, and characteristics of stool. Since it does not require a separate sensor to estimate menstrual cycle information, the health management system can be easily implemented.
[0018] The seventh invention is a health management system characterized in that, in the fifth invention, the falling object includes toilet paper.
[0019] According to this health management system, information about the user's menstrual cycle can be estimated based on the color information of falling toilet paper, which is obtained by a line sensor that acquires information used to determine at least one of the presence or absence and characteristics of stool. Since there is no need to install a separate sensor for estimating menstrual cycle information, the health management system can be easily implemented.
[0020] The eighth invention is a health management system in which, in any one of the first to seventh inventions, the processing unit modifies the estimation result of the information regarding the female menstrual cycle based on the input from the user.
[0021] According to this health management system, even if an error occurs in the estimation results, the user can correct the estimation results themselves.
[0022] The ninth invention is a toilet seat device comprising a toilet seat, a waste detection unit for detecting feces, a processing unit that makes a determination about the user's feces based on the detection result of the waste detection unit, and an output unit, wherein the processing unit estimates information about the user's menstrual cycle based on the detection result of the waste detection unit, and the output unit outputs information about the user's menstrual cycle estimated by the processing unit.
[0023] According to this toilet seat device, it is possible to estimate information regarding the menstrual cycle of a user by using an excrement detection unit that acquires data for determining feces, so it is easy to realize a toilet seat device that estimates information regarding the menstrual cycle.
[0024] A tenth invention includes a toilet, a toilet seat provided on the toilet, an excrement detection unit that detects feces, a processing unit that determines feces of a user based on a detection result of the excrement detection unit, and an output unit. The processing unit estimates information regarding the menstrual cycle of the user based on the detection result of the excrement detection unit, and the output unit performs an output based on the information regarding the menstrual cycle of the user estimated by the processing unit. The toilet device is characterized by this.
[0025] According to this toilet device, it is possible to estimate information regarding the menstrual cycle of a user by using an excrement detection unit that acquires data for determining feces, so it is easy to realize a toilet device that estimates information regarding the menstrual cycle.
Effects of the Invention
[0026] According to an aspect of the present invention, a health management system, a toilet seat device, and a toilet device that are easily realized simply are provided.
Brief Description of the Drawings
[0027] [Figure 1] FIG. 1 is a schematic diagram illustrating a health management system according to an embodiment. [Figure 2] FIG. 2 is a schematic diagram illustrating a toilet device according to an embodiment. [Figure 3] FIG. 3 is a block diagram illustrating an estimation device according to an embodiment. [Figure 4] FIG. 4 is a flowchart illustrating the operation of a health management system according to an embodiment. [Figure 5] FIG. 5 is a flowchart illustrating the operation of a health management system according to an embodiment. [Figure 6]Figure 6 is a flowchart illustrating the operation of the health management system according to the embodiment. [Figure 7] Figure 7 is a flowchart illustrating the operation of the health management system according to the embodiment. [Figure 8] Figure 8 is a flowchart illustrating the operation of the health management system according to the embodiment. [Figure 9] Figure 9 is a flowchart illustrating the operation of the health management system according to the embodiment. [Figure 10] Figure 10 is a schematic diagram illustrating the estimation of menstrual period. [Figure 11] Figure 11 is a schematic diagram illustrating the calculation of the menstrual cycle and the prediction of the next menstrual period. [Modes for carrying out the invention]
[0028] Embodiments of the present invention will be described below with reference to the drawings. In each drawing, similar components are denoted by the same reference numerals, and detailed descriptions are omitted as appropriate. Figure 1 is a schematic diagram illustrating a health management system according to an embodiment. Figure 2 is a schematic diagram illustrating a toilet device according to an embodiment. The health management system 200 according to this embodiment includes a toilet device 10, an estimation device 100, and a notification unit 50. The health management system 200 collects and manages the user's biometric information, for example, in a toilet. The biometric information includes data acquired by the excrement detection unit 30, which will be described later. The estimation device 100 makes a determination about the user's stool and estimates information about the female menstrual cycle based on the detection results of the excrement detection unit 30.
[0029] The toilet device 10 is installed in a toilet room TR. A toilet room TR is, for example, a toilet room installed in a house. A toilet room TR may also be a space partitioned off as a private room (toilet booth) within a room.
[0030] As shown in Figure 2, the toilet device 10 includes a toilet bowl 11 and a toilet seat device 20. The toilet bowl 11 has a concave bowl portion 12 that is recessed downwards. The bowl portion 12 is a toilet bowl that receives the user's excrement, such as urine and feces.
[0031] The toilet seat device 20 is installed on top of the toilet bowl 11. The toilet seat device 20 may be installed integrally with the toilet bowl 11, or it may be detachably attached to the toilet bowl 11. The toilet seat device 20 has a toilet seat 24 on which the user sits. The toilet seat device 20 has a main body part including a functional part 22 provided in the casing 21.
[0032] The functional unit 22 has a cleaning function unit 23 (cleaning device) including a nozzle 23a. The nozzle 23a moves back and forth between a position where it is housed inside the casing 21 and a position where it protrudes forward from the casing 21 and enters the bowl unit 12. The cleaning function unit has a posterior cleansing function, a bidet cleansing function, and so on. The posterior cleansing function performs a posterior cleansing operation by discharging water from the nozzle 23a that has entered the bowl unit 12 toward the user's buttocks and other private parts. The bidet cleansing function performs a bidet cleansing operation by discharging water from the nozzle 23a that has entered the bowl unit 12 toward the user's female private parts.
[0033] The functional unit 22 may include a deodorizing unit (deodorizing device), a warm air blowing unit (blower), and a toilet seat heating unit (toilet seat heating device). The deodorizing unit has a deodorizing fan, and by operating the deodorizing fan, it sucks in the air inside the bowl 12 and reduces odor components such as fecal odor contained in the sucked-in air. The warm air blowing unit has a blower fan, and by operating the blower fan, it blows air towards a part of the human body to dry that part of the human body. The toilet seat heating unit has a heater, and by energizing the heater, it warms the seating surface of the toilet seat.
[0034] The functional unit 22 includes a seating detection unit 25 and a human body detection unit 27. The seating detection unit 25 detects when a user sits on the toilet seat 24 and when they leave the toilet seat 24. The seating detection unit 25 detects when the user is seated on the toilet seat 24 or when they are away from the toilet seat 24. For example, a mechanical switch or an electrostatic sensor may be used for the seating detection unit 25.
[0035] The human body detection unit 27 detects a human body approaching the toilet device 10. In other words, the human body detection unit 27 detects a human body entering the toilet room TR. The human body detection unit 27 detects when a user enters the toilet room TR and when they leave the toilet room TR. The human body detection unit 27 detects when a user is inside the toilet room TR and when they are leaving the toilet room TR. For example, a pyroelectric sensor, a radio wave sensor, or an infrared sensor may be used for the human body detection unit 27.
[0036] The toilet seat device 20 has a waste detection unit 30 that detects the user's excrement. The waste detection unit 30 detects the user's excrement (feces) in the bowl 12, or feces falling into the bowl 12. The waste detection unit 30 includes, for example, a light-receiving element and detects the excrement optically. For example, the waste detection unit 30 includes a CMOS sensor or a CCD sensor. For example, the detection result of the waste detection unit 30, i.e., the data acquired by the waste detection unit 30, includes data related to the user's feces.
[0037] More specifically, for example, the excrement detection unit 30 includes an image sensor that captures images of the inside of the bowl section 12. The image sensor can be a sensor in which multiple light-receiving elements are arranged two-dimensionally on a light-receiving surface. Each light-receiving element is, for example, a photodiode that acts as a pixel. The excrement detection unit 30 acquires an image by detecting the light incident on the multiple light-receiving elements. The excrement detection unit 30 (image sensor) acquires an image of the area inside the bowl section 12 that includes the water seal. When a user defecates in the toilet device 10, the image captured by the excrement detection unit 30 includes an image of the user's feces. As a result, the excrement detection unit 30 detects the user's excrement (feces) inside the bowl section 12. In other words, the excrement detection unit 30 acquires data related to feces.
[0038] Alternatively, the excrement detection unit 30 includes a line sensor that detects objects falling into the bowl section 12. The line sensor is a sensor in which multiple light-receiving elements are arranged in a line. In the line sensor, the light-receiving elements are arranged in a single line, for example. The light-receiving elements may also be arranged in several rows in a long, narrow strip-shaped area. By detecting the light incident on the multiple light-receiving elements, a line-shaped (or strip-shaped) image can be acquired. For example, light is detected at multiple consecutive time points, approximately 500 to 5000 times per second. This makes it possible to acquire information about an object moving within the detection range of the line sensor. For example, an image of a falling object falling within the detection range of the line sensor can be acquired. When a user defecates in the toilet device 10, the image acquired by the line sensor includes an image of the user's feces falling. As a result, the excrement detection unit 30 detects the user's excrement (feces) falling into the bowl section 12. That is, the excrement detection unit 30 acquires data related to feces.
[0039] The excrement detection unit 30 can acquire color information of the object being detected. For example, the excrement detection unit 30 acquires a color image. The processing unit 130 may use known image recognition techniques to distinguish between feces and other objects in the image acquired by the excrement detection unit 30 based on their color and shape.
[0040] The toilet system 10 has a toilet bowl flushing unit (toilet bowl flushing device). The toilet bowl flushing unit supplies flushing water to the toilet bowl 11 to flush the toilet bowl 11. This causes waste to be discharged from the bowl portion 12. The toilet bowl flushing unit is installed, for example, in the water tank of the toilet bowl 11 or in the water supply pipe of the toilet bowl 11. The toilet bowl flushing unit can perform a full flush, which supplies a large amount of flushing water, and a small flush, which supplies less flushing water compared to the full flush.
[0041] The toilet device 10 has a control unit 29. The control unit 29 controls the operation of each part of the functional unit 22 (washing function unit 23, excrement detection unit 30, seat detection unit 25, human body detection unit 27, deodorizing unit, warm air blowing unit, toilet seat heating unit) and the toilet bowl washing unit. The control unit 29 receives the detection results of the seat detection unit 25 and the human body detection unit 27. The control unit 29 may control the functions of the functional unit 22 based on these detection results. For example, based on the detection result of the seat detection unit 25, the control unit 29 performs posterior washing or bidet washing when a user is seated. The control unit 29 performs detection by the excrement detection unit 30 when a user is seated or when a user is in the toilet room TR. For example, the control unit 29 acquires images by the excrement detection unit 30 while a user is seated. For example, multiple images are acquired by the excrement detection unit 30 while the user is using the toilet device 10 or the toilet room TR. The control unit 29 can include, for example, a control circuit including a microcontroller.
[0042] The remote control 28 (input device) has, for example, multiple switches and sensors, which are operating parts (input parts) and receive instructions from the user. The remote control 28 is connected to the functional unit 22 via wired or wireless connection so as to be able to communicate. The control unit 29 of the functional unit 22 receives instructions from the remote control 28 that have been input to the remote control 28 by the user. The control unit 29 controls the operation of the functional unit 22 according to the received instructions. In this way, the functional unit 22 performs each operation according to the user's instructions. Specifically, for example, the remote control 28 is provided with a posterior wash button for inputting instructions to perform a posterior wash, a bidet wash button for inputting instructions to perform a bidet wash, and a toilet flush button for inputting instructions to perform a toilet flush.
[0043] Figure 3 is a block diagram illustrating an estimation device according to an embodiment. As shown in Figure 3, the estimation device 100 includes a communication unit 110, a processing unit 130, and a storage unit 120 (storage unit). For example, a computer device can be used for the estimation device 100. A server (e.g., a cloud server) may also be used for the estimation device 100. The estimation device 100 is connected to the toilet device 10, the remote control 28, and the notification unit 50 via the communication unit 110. The communication unit 110 is, for example, a communication module. Any method can be used for communication, such as wireless, wired, or a combination of wireless and wired.
[0044] The storage unit 120 includes a toilet data storage unit 121 and a user information storage unit 123. The user information storage unit 123 stores identification information (e.g., user ID) for identifying the user of the toilet. The toilet data storage unit 121 stores past toilet data for each user identified by the identification information. The toilet data includes at least one of the detection results of the excrement detection unit 30 and data based on those detection results. The data based on the detection results of the excrement detection unit 30 includes, for example, the estimation results or prediction results of the estimation unit 132, which will be described later. The toilet data may include information about the time the toilet data was acquired, such as the time the data was acquired by the excrement detection unit 30 or the time the user used the toilet. The toilet data stored in the toilet data storage unit 121 may also include the determination results of the determination unit 135, which will be described later. The storage unit 120 can use any storage device, such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
[0045] The processing unit 130 can use a computing device such as a circuit including a CPU. The processing unit 130 has an acquisition unit 131, an estimation unit 132, a notification unit 133, a personal identification unit 134, and a determination unit 135. The acquisition unit 131 acquires identification information via the communication unit 110 to identify the user using the toilet (the user inside the toilet room TR). In this example, as shown in Figure 1, when the user uses the toilet, the user inputs identification information (signal S1) to the remote control 28 to identify themselves. The acquisition unit 131 acquires the identification information from the remote control 28.
[0046] The personal identification unit 134 identifies the user using the toilet based on the identification information acquired by the acquisition unit 131. In other words, the personal identification unit 134 performs personal authentication to authenticate the user. For example, the personal identification unit 134 compares the identification information with the identification information stored in the user information storage unit 123 and identifies the identification information corresponding to the identification information. As a result, the personal identification unit 134 identifies the user who entered the identification information as the user indicated by the identification information corresponding to the identification information.
[0047] The specific information entered by the user is, for example, a user ID. This specific information is entered, for example, by a button on the remote control 28. Personal authentication may also be done by voice authentication. For example, a microphone may be provided, and the user's voice entered into the microphone may be used as the specific information. For example, the user may be identified based on the characteristics of their voice or the content of their speech. The specific information may also be entered into a device in the toilet room TR, such as the toilet device 10, or into an information terminal such as a smartphone or wearable device. The acquisition unit 131 may acquire the specific information from the device in the toilet room TR or from the information terminal. The method of personal authentication is not limited to the above, and any method that can identify the user may be used.
[0048] The acquisition unit 131 acquires data (for example, an image of the inside of the bowl 12) acquired by the excrement detection unit 30. That is, as shown in Figure 1, the estimation device 100 (acquisition unit 131) acquires the detection result (signal S2) of the excrement detection unit 30 from the toilet device 10. For example, each time a user uses the toilet device 10 after performing personal authentication, the detection result of the excrement detection unit 30 is acquired. Note that one use of the toilet device 10 is, for example, from sitting on the toilet seat 24 to getting up.
[0049] The toilet data storage unit 121 of the storage unit 120 stores the user's toilet data acquired by the acquisition unit 131. For example, the processing unit 130 can determine that the detection result acquired by the excrement detection unit 30 is information about the user identified by the personal identification unit 134 during the toilet use in which the detection result was acquired. The storage unit 120 stores the user's toilet data in association with the user's identification information identified by the personal identification unit 134. As a result, for example, toilet data is accumulated for each user each time they use the toilet device 10.
[0050] The determination unit 135 makes a determination (estimate or evaluate) about the user's stool based on the detection results of the excrement detection unit 30. Specifically, the determination unit 135 determines at least one of the following based on the data acquired by the excrement detection unit 30 (for example, information such as images acquired by an image sensor or line sensor): the presence or absence of stool, the amount (width, volume, weight), and its characteristics (color, shape). Known methods can be used as appropriate for determining the stool.
[0051] The estimation unit 132 estimates information about the user's menstrual cycle based on the detection results of the excrement detection unit 30. Specifically, the estimation unit 132 estimates information about the user's menstrual cycle based on data acquired by the excrement detection unit 30 (for example, information such as images acquired by an image sensor or line sensor). For example, the estimation unit 132 estimates the user's current state, such as whether or not the user is currently menstruating. For example, the estimation unit 132 estimates information about the menstrual cycle based on the same data (for example, images) used to determine the user's stool.
[0052] Thus, according to this embodiment, since the excrement detection unit 30, which acquires data for determining the nature of stool, can be used to estimate information about the user's menstrual cycle, it is easy to realize a health management system that estimates information about the menstrual cycle. For example, since the excrement detection unit 30 also serves as a detection unit that acquires data for estimating information about the menstrual cycle, the configuration can be simplified. For example, since it is not necessary to provide a separate detection unit that acquires data for estimating information about the menstrual cycle, costs can be reduced.
[0053] In this specification, the female cycle refers to the period including the menstrual phase, follicular phase, ovulation phase, and luteal phase. In other words, the female cycle is the period from the first day of one menstrual phase to the day before the first day of the next menstrual phase. For example, the estimation unit 132 estimates whether or not the user is in the menstrual phase. Based on this, the estimation unit 132 may estimate the user's menstrual period and menstrual cycle. The menstrual period refers to the duration of the menstrual period (when the menstrual period starts and ends). The menstrual period includes, for example, information on the first and last days of the menstrual period. The menstrual cycle is the length of the female cycle (the number of days from the first day of one menstrual phase to the day before the first day of the next menstrual period). The estimation unit 132 may also estimate the follicular phase, ovulation phase, and luteal phase. For example, based on the estimated menstrual period or the estimated or entered menstrual cycle, the system may estimate whether the user is in the follicular phase, ovulation phase, or luteal phase, the follicular period (when the follicular phase begins and ends), the ovulation period (when the ovulation period begins and ends), the luteal period (when the luteal phase begins and ends), and the ovulation day.
[0054] Specifically, the excrement detection unit 30 includes an image sensor, which captures an image of the area including the water seal inside the toilet bowl. The determination unit 135 determines, based on the image captured by the image sensor, whether or not there is feces, the amount, and the characteristics of at least one of these. The estimation unit 132 estimates information about the user's menstrual cycle based on the information about the water seal contained in the image captured by the image sensor. The information about the water seal refers to information about at least one of the water seal and the objects contained in the water seal.
[0055] For example, the information about the water seal includes information about at least one of the following: the color of the water seal and the color of the object contained in the water seal. Depending on the color of menstrual blood, the water seal or the object contained in the water seal may turn red. The object contained in the water seal may be, for example, toilet paper. Toilet paper turns red when menstrual blood adheres to it. The object contained in the water seal may be, for example, a clot of menstrual blood. The estimation unit 132 determines whether there is red in the image (for example, whether the color of the water seal is red, or whether the water seal contains a red object). If there is red in the image (for example, if the water seal is red, or if the object contained in the water seal is red), the estimation unit 132 estimates that the user is menstruating.
[0056] In this way, information about the user's menstrual cycle can be estimated based on images of the water seal captured by an image sensor used to determine the presence of feces. For example, information about the user's menstrual cycle can be estimated based on the color information of the water seal or objects within the water seal captured by the image sensor. It is not necessary to install a separate sensor for estimating information about the menstrual cycle, making it easier to implement a health management system in a simple manner.
[0057] Alternatively, the excrement detection unit 30 includes a line sensor, which detects at least one of feces and other objects falling into the bowl 12. The determination unit 135 determines at least one of the presence, quantity, and characteristics of the user's feces based on the information obtained by the line sensor. The estimation unit 132 estimates information about the user's menstrual cycle based on the information about the objects that fell into the bowl.
[0058] For example, information about falling objects includes information about the color of the falling object. The color of the falling object may be red, corresponding to the color of menstrual blood. The falling object is, for example, a liquid that falls during or after bidet washing (for example, immediately after washing, within about 10 seconds after the bidet washing is finished). This liquid will be red if it is menstrual blood or the washing water of a bidet washing that contains menstrual blood. The falling object is, for example, toilet paper. The estimation unit 132 determines whether the color of the falling object is red or not. If the falling object is red, the estimation unit 132 estimates that the user is menstruating.
[0059] In this way, information about the user's menstrual cycle can be estimated based on information about fallen objects obtained by a line sensor that acquires information used to determine the presence of feces. For example, information about the user's menstrual cycle can be estimated based on the color information of fallen objects such as liquid or toilet paper obtained by the line sensor. It is not necessary to install a separate sensor for estimating information about the menstrual cycle, making it easier to implement a health management system in a simple manner.
[0060] The notification unit 133 (output unit) of the processing unit 130 outputs information based on the health status estimated by the estimation unit 132. For example, the notification unit 133 outputs a signal S5 (see Figure 1) based on the estimation result S4 (see Figure 1) of the estimation unit 132 to the notification unit 50. The notification unit 50 then notifies the user of information based on the estimation result of the estimation unit 132 based on the output signal from the notification unit 133. Alternatively, the notification unit 133 may output the determination result of the determination unit 135 to the notification unit 50, and the notification unit 50 then notifies the user of information based on the determination result of the determination unit 135 based on the output signal from the notification unit 133.
[0061] For example, the notification unit 50 is an information terminal such as a portable information terminal. The information terminal is any information terminal such as a smartphone, tablet, smartwatch or other wearable device, or a personal computer. The information terminal includes a display device such as a liquid crystal display or an organic EL display. The notification unit 50 displays the estimation result of the estimation unit 132 on the display device. In this way, the notification unit 50 provides notification based on the information about the user's menstrual cycle estimated by the estimation unit 132.
[0062] For example, as shown in Figure 1, the user can input user information (signal S3), such as menstrual period and menstrual cycle, into the system from an information terminal (e.g., notification unit 50).
[0063] The estimation result of the estimation unit 132 may be modifiable by the user who is notified of the estimation result. For example, the user inputs information to the processing unit 130 via the input unit, instructing it to make a modification, such as withdrawing the estimation result. The processing unit 130 modifies the estimation result in response to the input from the user. For example, the processing unit 130 withdraws the estimation that the user is menstruating. The input unit can be an information terminal (e.g., notification unit 50) or an input device such as a remote control 28. The input unit is not limited to these, and may be any button, switch, or sensor capable of receiving information.
[0064] For example, if bleeding that is not menstrual, such as irregular bleeding, hemorrhoids, or ovulation bleeding, occurs, it may be mistakenly assumed to be menstruation. In response to this, the processing unit 130 corrects the estimated results of the female cycle information based on input from the user. Even if an error occurs in the estimated result, the user can correct the estimated result themselves.
[0065] Note that in Figure 1, the user of the toilet in toilet room TR and the user holding the notification unit 50 are shown separately, but these users may be the same person.
[0066] Figure 4 is a flowchart illustrating the operation of the health management system according to the embodiment. When a user enters the toilet room TR to use the toilet, a signal for personal authentication is input. The personal identification unit 134 identifies the user based on the input signal for personal authentication (step S101).
[0067] The processing unit 130 acquires data such as images obtained by the excrement detection unit 30 while the user is using the toilet device 10 (step S102). The determination unit 135 makes a determination about the user's stool based on the data such as images obtained in step S102.
[0068] The estimation unit 132 determines whether the detection result of the excrement detection unit 30 obtained in step S102 during the user's use of the toilet device 10 this time contains information related to menstruation (step S103). Specifically, as already mentioned, it determines whether the acquired image contains red, or whether a red object fell, or whether the image contains information indicating that the user is menstruating.
[0069] If the data acquired by the excrement detection unit 30 during the user's use of the toilet device 10 includes information indicating that the user is in the menstrual period (step S103: YES), the estimation unit 132 estimates that the user is in the menstrual period at the time of using the toilet device 10 (step S104). If the data acquired by the excrement detection unit 30 during the user's use of the toilet device 10 does not contain information indicating that the user is in their menstrual period (step S103: NO), the estimation unit 132 estimates that the user is not in their menstrual period at the time of using the toilet device 10 (step S105).
[0070] Subsequently, the notification unit 133 notifies the notification unit 50 of the information based on the estimation result. The notification unit 50 then notifies the user of the notified information.
[0071] Figure 5 is a flowchart illustrating the operation of the health management system according to the embodiment. Similar to steps S101 and S102 described above, the personal identification unit 134 identifies the user (step S201), and the processing unit 130 obtains the detection result from the excrement detection unit 30 (step S202).
[0072] The estimation unit 132 determines whether the detection result of the excrement detection unit 30 obtained in step S202 during the user's use of the toilet device 10 this time contains multiple pieces of information related to menstruation (step S203). For example, the estimation unit 132 determines whether the image obtained by the image sensor contains multiple pieces of information, such as information that the water seal is red and information that there is a red object in the toilet bowl. For example, the estimation unit 132 determines whether the information obtained by the line sensor contains multiple pieces of information, such as information that a red liquid has fallen and information that a red object has fallen.
[0073] If the data acquired by the excrement detection unit 30 during the user's use of the toilet device 10 includes multiple pieces of information related to menstruation (step S203: YES), the estimation unit 132 estimates that the user is menstruating at the time of the use of the toilet device 10 (step S204). If the data acquired by the excrement detection unit 30 when the user uses the toilet device 10 does not contain information about multiple menstrual cycles (step S203: NO), the estimation unit 132 estimates that the user is not menstruating at the time of use of the toilet device 10 (step S205).
[0074] By estimating based on information from multiple menstrual cycles, for example, the accuracy of the estimation can be improved.
[0075] Figure 6 is a flowchart illustrating the operation of the health management system according to the embodiment. Similar to steps S101 and S102 described above, the personal identification unit 134 identifies the user (step S301), and the processing unit 130 obtains the detection result from the excrement detection unit 30 (step S302).
[0076] The estimation unit 132 estimates that the user is menstruating at the time of the current use of the toilet device 10 if the detection result of the excrement detection unit 30 obtained in step S302 during the user's current use of the toilet device 10 includes information related to menstruation (step S303: YES), and if the data obtained by the excrement detection unit 30 during the user's previous use of the toilet device 10 also includes information related to menstruation (step S304: YES). The estimation unit 132 refers to the data stored in the storage unit 120 for past detection results of the excrement detection unit 30.
[0077] If the detection result of the excrement detection unit 30 obtained when the user used the toilet device 10 this time does not include any information about menstruation (step S303: NO), the estimation unit 132 estimates that the user was not menstruating at the time of using the toilet device 10 (step S306).
[0078] If the detection result of the excrement detection unit 30 obtained during the user's previous use of the toilet device 10 does not include any information regarding menstruation (step S304: NO), the estimation unit 132 estimates that the user is not menstruating at the time of the current use of the toilet device 10 (step S306).
[0079] By estimating based on the detection results of the excrement detection unit 30 during the current and previous use of the toilet device 10, for example, the estimation accuracy can be improved.
[0080] Figure 7 is a flowchart illustrating the operation of the health management system according to the embodiment. Similar to steps S101 and S102 described above, the personal identification unit 134 identifies the user (step S401), and the processing unit 130 obtains the detection result from the excrement detection unit 30 (step S402).
[0081] The estimation unit 132 estimates that the user is menstruating at the time of the current use of the toilet device 10 if the detection result of the excrement detection unit 30 obtained in step S402 during the user's current use of the toilet device 10 includes information related to menstruation (step S403: YES), and if the data obtained by the excrement detection unit 30 during the user's use of the toilet device 10 the previous day includes information related to menstruation (step S404: YES).
[0082] If the detection result of the excrement detection unit 30 obtained when the user used the toilet device 10 this time does not include any information about menstruation (step S403: NO), the estimation unit 132 estimates that the user was not menstruating at the time of using the toilet device 10 (step S406).
[0083] If the detection result from the excrement detection unit 30 obtained when the user used the toilet device 10 the previous day does not include any information regarding menstruation (step S404: NO), the estimation unit 132 estimates that the user is not menstruating at the time of the current use of the toilet device 10 (step S406).
[0084] By estimating based on the detection results of the excrement detection unit 30 this time and the day before, the estimation accuracy can be improved, for example.
[0085] Figure 8 is a flowchart illustrating the operation of the health management system according to the embodiment. Similar to steps S101 and S102 described above, the personal identification unit 134 identifies the user (step S501), and the processing unit 130 obtains the detection result from the excrement detection unit 30 (step S502).
[0086] The estimation unit 132 estimates that the user is menstruating at the time of the current use of the toilet device 10 if the detection result of the excrement detection unit 30 obtained in step S502 during the user's current use of the toilet device 10 includes information related to menstruation (step S503: YES), and if the data obtained by the excrement detection unit 30 during the user's use of the toilet device 10 one hour prior includes information related to menstruation (step S504: YES).
[0087] The first hour corresponds, for example, to the user's menstrual cycle. The first hour is, for example, approximately 25 to 35 days. The use of the toilet device 10 one hour prior refers to the use of the toilet device 10 on the day to which the time one hour prior from the present (the time of this use of the toilet device 10) belongs. Alternatively, the use of the toilet device 10 one hour prior may also refer to the use of the toilet device 10 immediately before or after the time one hour prior from the present.
[0088] If the detection result of the excrement detection unit 30 obtained when the user used the toilet device 10 this time does not include any information about menstruation (step S503: NO), the estimation unit 132 estimates that the user was not menstruating at the time of using the toilet device 10 (step S506).
[0089] If the detection result from the excrement detection unit 30 obtained when the user used the toilet device 10 one hour prior does not contain any information regarding menstruation (step S504: NO), the estimation unit 132 estimates that the user is not menstruating at the time of the current use of the toilet device 10 (step S506).
[0090] By estimating based on the detection results of the excrement detection unit 30 this time and one hour prior, the estimation accuracy can be improved, for example.
[0091] Figure 9 is a flowchart illustrating the operation of the health management system according to the embodiment. Similar to steps S101 and S102 described above, the personal identification unit 134 identifies the user (step S601), and the processing unit 130 obtains the detection result from the excrement detection unit 30 (step S602).
[0092] The estimation unit 132 estimates that the user is menstruating at the time of the current use of the toilet device 10 if the detection result of the excrement detection unit 30 obtained in step S602 during the user's current use of the toilet device 10 includes information related to menstruation (step S603: YES), and if the data obtained by the excrement detection unit 30 during the user's previous or the day before use of the toilet device 10 includes information related to menstruation (step S604: YES).
[0093] The estimation unit 132 estimates that the user is menstruating at the time of the current use of the toilet device 10 if the data acquired by the excrement detection unit 30 during the user's previous or the day before use does not contain any information regarding menstruation (step S604: NO), but the detection result from the excrement detection unit 30 acquired during the user's use of the toilet device 10 one hour prior contains information regarding menstruation (step S606: YES).
[0094] If the detection result of the excrement detection unit 30 obtained when the user used the toilet device 10 this time does not include any information about menstruation (step S603: NO), the estimation unit 132 estimates that the user was not menstruating at the time of using the toilet device 10 (step S607).
[0095] If the detection result from the excrement detection unit 30 obtained when the user used the toilet device 10 one hour prior does not contain any information regarding menstruation (step S606: NO), the estimation unit 132 estimates that the user is not menstruating at the time of the current use of the toilet device 10 (step S607).
[0096] Figure 10 is a schematic diagram illustrating the estimation of menstrual period. Figure 11 is a schematic diagram illustrating the calculation of the menstrual cycle and the prediction of the next menstrual period. When the estimation unit 132 obtains the detection result from the user's excrement detection unit 30, it estimates whether the day on which the detection result was obtained falls within the user's menstrual period. In Figure 10, each square represents one day. Shaded days are days estimated to be within the menstrual period. Unshaded days are days estimated not to be within the menstrual period (non-menstrual days).
[0097] The estimation unit 132 estimates the last day of the menstrual period to be the day most recently estimated to be the menstrual period if there are a predetermined number of consecutive non-menstrual days (3 days in this example). The estimation unit 132 estimates the first day (the oldest day) within a predetermined number of days prior to the estimated last day of the menstrual period (for example, about 2 weeks) that was estimated to be the menstrual period to be the first day of that menstrual period. The estimation unit 132 estimates the period from the day estimated to be the first day to the first day estimated to be the last day thereafter as one menstrual period.
[0098] As shown in Figure 11, the estimation unit 132 estimates the menstrual cycle based on the length from the estimated first day of menstruation to the estimated first day of the next menstrual cycle. For example, the estimation unit 132 calculates the user's menstrual cycle based on the user's past menstrual cycles. The menstrual cycle is calculated, for example, as an average value. For example, the estimation unit 132 estimates the menstrual cycle based on the user's most recent menstrual periods. In this way, the estimation unit 132 can estimate the user's menstrual cycle based on the user's toilet data. That is, the estimation unit 132 can estimate the menstrual cycle for each user.
[0099] The notification unit 133 notifies the notification unit 50 of the calculation result (menstrual cycle) from the estimation unit 132. The notification unit 50 then notifies the user of the notified calculation result (menstrual cycle).
[0100] In this way, by calculating the user's menstrual cycle based on multiple past menstrual periods, the accuracy of calculating (estimating) the user's menstrual cycle can be improved.
[0101] The first time period mentioned above with respect to Figure 8 or Figure 9 corresponds, for example, to the menstrual cycle. In the initial stages of operating the health management system 200, the menstrual cycle (or a predetermined time such as a typical menstrual cycle) entered by the user into the health management system 200 may be used as the first time period. Subsequently, the menstrual cycle may be estimated based on the accumulated user data, and the first time period may be set to the estimated menstrual cycle.
[0102] In this way, the estimation unit 132 corrects (updates) the first time based on the estimated menstrual period of the user. Since the first time can be determined for each user based on the estimated menstrual period of each user, the accuracy of the estimation can be further improved.
[0103] As shown in Figure 11, the estimation unit 132 may predict information about the next (future) female cycle based on the estimated menstrual period of the user. For example, the estimation unit 132 predicts when the next menstrual period will be based on the estimated last menstrual period and the estimated or entered menstrual cycle. For example, the estimation unit 132 predicts at least one of the next menstrual period, luteal phase, follicular phase, ovulation phase, and ovulation day. Since information about the next female cycle can be predicted based on toilet data accumulated for each individual, the accuracy of the prediction can be improved.
[0104] The notification unit 133 notifies the notification unit 50 of the prediction result from the estimation unit 132. The notification unit 50 then notifies the user of the notified prediction result.
[0105] In this way, by predicting when the user's next menstrual period will occur based on the user's menstrual cycle, the accuracy of the prediction (estimation) of when the user's next menstrual period will occur can be improved.
[0106] In this embodiment, the components such as the functional blocks shown in Figure 3 are conceptual in function and do not necessarily have to be physically configured as shown. For example, some or all of the components of the health management system 200 may be aggregated in the estimation device 100 and the toilet device 10 as appropriate, or each component may be distributed to multiple devices that are connected to each other via a network for communication. Each component of the embodiment may be distributed or integrated as appropriate, functionally or physically.
[0107] For example, at least a part of the estimation device 100 may be a device provided separately from the toilet device 10 outside the toilet room TR, or it may be provided in the toilet device 10 or the toilet seat device 20. That is, the toilet device 10 or the toilet seat device 20 may have an estimation unit 132, a notification unit 133, a personal identification unit 134, a determination unit 135, and a storage unit 120, etc. The processing unit 130 and the storage unit 120 may be provided separately. For example, the processing unit 130 may be provided in the toilet device 10 and the storage unit 120 may be provided in a cloud server.
[0108] Personal authentication may be performed in the toilet device 10. That is, at least a part of the personal identification unit 134 and the storage unit 120 may be provided in the toilet device 10 or the excrement detection unit 30 separately from the estimation device 100. For example, when the toilet device 10 or the excrement detection unit 30 has identified a user, the excrement detection unit 30 may acquire data about that user. The toilet device 10 may transmit the data acquired by the excrement detection unit 30 about that user, along with the user identification information (e.g., user ID), to the estimation device 100.
[0109] The embodiment may include the following configurations. (Composition 1) A waste detection unit that detects feces in the toilet, A processing unit that determines whether the material is the user's stool based on the data acquired by the excrement detection unit, The news department and, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the data acquired by the excrement detection unit. The health management system is characterized in that the notification unit provides notifications based on information regarding the user's menstrual cycle estimated by the processing unit. (Configuration 2) The excrement detection unit includes an image sensor, and the image sensor captures an area including the water seal inside the toilet bowl. The aforementioned processing unit, Based on the image captured by the image sensor, the presence, quantity, and characteristics of the user's stool are determined. The health management system according to configuration 1, characterized in that it estimates information regarding the user's menstrual cycle based on the information of the water seal contained in the image captured by the image sensor. (Composition 3) The health management system according to configuration 2, wherein the information of the water seal includes at least one of the color of the water seal and the color of the objects contained in the water seal. (Composition 4) The excrement detection unit includes a line sensor, which detects at least one of feces and other objects falling into the toilet bowl of the toilet. The aforementioned processing unit, Based on the information obtained by the line sensor, it is determined whether the user has stool, the amount, and the characteristics of at least one of these. The health management system according to configuration 1, characterized in that it estimates information regarding the user's menstrual cycle based on the information of the fallen object included in the information acquired by the line sensor. (Composition 5) The health management system according to configuration 4, characterized in that the information of the fallen object includes the color of the fallen object. (Composition 6) The aforementioned toilet is capable of performing bidet washing for cleaning the female genitals. The health management system according to configuration 5, characterized in that the falling object includes liquid that falls during or after the execution of the bidet wash. (Composition 7) The health management system according to configuration 5, characterized in that the falling object includes toilet paper. (Composition 8) The health management system according to any one of configurations 1 to 7, characterized in that the processing unit modifies the estimation result of the information regarding the female menstrual cycle based on the input from the user. (Composition 9) Toilet seat and A waste detection unit that detects feces, A processing unit that determines whether the material is the user's feces based on the detection results of the excrement detection unit, Output section, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the detection results of the excrement detection unit. The toilet seat device is characterized in that the output unit outputs information about the user's menstrual cycle estimated by the processing unit. (Composition 10) Toilet bowl and A toilet seat provided on top of the aforementioned toilet bowl, A waste detection unit that detects feces, A processing unit that determines whether the material is the user's feces based on the detection results of the excrement detection unit, Output section, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the detection results of the excrement detection unit. The toilet device is characterized in that the output unit outputs information about the user's menstrual cycle estimated by the processing unit.
[0110] Embodiments of the present invention have been described above. However, the present invention is not limited to these descriptions. Modifications made by those skilled in the art to the above-described embodiments are also included within the scope of the present invention, as long as they retain the features of the present invention. For example, the shape, arrangement, and installation configuration of each element are not limited to those exemplified and can be modified as appropriate. Furthermore, the elements of each of the embodiments described above can be combined to the extent technically possible, and these combinations are also included within the scope of the present invention insofar as they include the features of the present invention. [Explanation of Symbols]
[0111] 10: Toilet device, 11: Toilet bowl, 12: Bowl section, 20: Toilet seat device, 21: Casing, 22: Functional section, 23: Washing function section, 23a: Nozzle, 24: Toilet seat, 25: Seating detection section, 27: Human body detection section, 28: Remote control, 29: Control section, 30: Excrement detection section, 50: Notification section, 100: Estimation device, 110: Communication section, 120: Memory section, 121: Toilet data storage section, 123: User information storage section, 130: Processing section, 131: Acquisition section, 132: Estimation section, 133: Notification section, 134: Personal identification section, 135: Judgment section, 200: Health management system, S1~S3, S5: Signal, S4: Estimation result, S101~S105, S201~S205, S301~S306, S401~S405, S501~S506, S601~S607: Steps, TR: Toilet room
Claims
1. A waste detection unit that detects feces in the toilet, A processing unit that determines whether the material is the user's stool based on the data acquired by the excrement detection unit, The news department and, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the data acquired by the excrement detection unit. The health management system is characterized in that the notification unit provides notifications based on information regarding the user's menstrual cycle estimated by the processing unit.
2. The excrement detection unit includes an image sensor, and the image sensor captures an area including the water seal inside the toilet bowl. The aforementioned processing unit, Based on the image captured by the image sensor, the presence, quantity, and characteristics of the user's stool are determined. The health management system according to claim 1, characterized in that it estimates information regarding the user's menstrual cycle based on the information of the water seal contained in the image captured by the image sensor.
3. The health management system according to claim 2, wherein the information of the water seal includes at least one of the color of the water seal and the color of the objects contained in the water seal.
4. The excrement detection unit includes a line sensor, which detects at least one of feces and other objects falling into the toilet bowl of the toilet. The aforementioned processing unit, Based on the information obtained by the line sensor, it is determined whether the user has stool, the amount, and the characteristics of at least one of these. The health management system according to claim 1, characterized in that it estimates information regarding the user's menstrual cycle based on the information of the fallen object included in the information acquired by the line sensor.
5. The health management system according to claim 4, characterized in that the information of the fallen object includes the color of the fallen object.
6. The aforementioned toilet is capable of performing bidet washing for cleaning the female genitals. The health management system according to claim 5, characterized in that the falling object includes liquid that falls during or after the execution of the bidet washing.
7. The health management system according to claim 5, characterized in that the fallen object includes toilet paper.
8. The health management system according to any one of claims 1 to 7, characterized in that the processing unit modifies the estimation result of the information regarding the female menstrual cycle based on the input from the user.
9. Toilet seat and A waste detection unit that detects feces, A processing unit that determines whether the material is the user's feces based on the detection results of the excrement detection unit, Output section, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the detection results of the excrement detection unit. The toilet seat device is characterized in that the output unit outputs information about the user's menstrual cycle estimated by the processing unit.
10. Toilet bowl and A toilet seat provided on top of the aforementioned toilet bowl, A waste detection unit that detects feces, A processing unit that determines whether the material is the user's feces based on the detection results of the excrement detection unit, Output section, Equipped with, The processing unit estimates information regarding the user's menstrual cycle based on the detection results of the excrement detection unit. The toilet device is characterized in that the output unit outputs information about the user's menstrual cycle estimated by the processing unit.