Toilet system, display method, and display program

Abstract

To provide a toilet system, a method for display, and a display program capable of displaying the possibility that the timing of physiological phenomenon of a woman may deviate.SOLUTION: There is provided a toilet system including: a measurement unit configured to measure biometric information of a user who uses a toilet apparatus; a storage unit configured to store the measurement result of the measurement unit together with date information; and timing estimation means configured to estimate the next timing of physiological phenomenon of a woman on the basis of the biometric information measured by the measurement unit. The system further includes a display unit configured to display the deviation between the next timing estimated by the timing estimation unit and the next timing of the physiological phenomenon estimated on the basis of a past timing of the physiological phenomenon of the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] TECHNICAL FIELD Aspects of the present invention generally relate to a toilet system, a display method, and a display program. [Background technology]

[0002] A system has been proposed that measures biological information such as the amount of female hormone secretion when using the toilet, and estimates the timing of the next menstruation based on the measured biological information. The timing of the next menstrual event (e.g., menstruation) estimated based on biological information measured during toilet use may differ from the timing of the next menstrual event estimated based on the user's past menstrual events. Such a timing difference can occur, for example, when the user's hormone balance is disrupted, disrupting the cycle of menstruation or other menstrual events. With conventional systems, it can be difficult to know the possibility of a timing difference. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2023 / 203963 Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention was made based on the recognition of such a problem, and aims to provide a toilet system, a display method, and a display program that can display the possibility that a woman's menstrual period may be delayed. [Means for solving the problem]

[0005] A first invention is a toilet system comprising a measurement unit that measures biometric information of a user who uses a toilet device, a memory means that stores the measurement results of the measurement unit together with date information, and a timing estimation means that estimates the next time of a woman's physiological phenomenon based on the biometric information measured by the measurement unit, wherein a display means that displays the estimation results of the timing estimation means displays the difference between the next time of the physiological phenomenon estimated by the timing estimation means and the next time of the physiological phenomenon estimated based on the timing of the user's past physiological phenomena.

[0006] This toilet system can display whether the timing of a woman's next menstrual event, estimated based on her biological information, will differ from the timing of her next menstrual event estimated from past menstrual event timings. In other words, it can display the possibility that a woman's menstrual event timing may be delayed.

[0007] A second invention is the toilet system according to the first invention, characterized in that the biological information is hormone information.

[0008] According to this toilet system, by estimating the timing of the next physiological phenomenon based on hormone information, it is possible to improve the accuracy of estimating the timing of the next physiological phenomenon based on biological information.

[0009] A third invention is the toilet system according to the second invention, characterized in that the measurement unit measures the hormone information based on components derived from the user's bodily fluids.

[0010] According to this toilet system, by estimating the timing of the next physiological phenomenon based on hormone information, it is possible to improve the accuracy of estimating the timing of the next physiological phenomenon based on biological information.

[0011] A fourth invention is a toilet system according to the third invention, characterized in that the hormone information includes information on at least one of estrogen, progesterone, luteinizing hormone, and follicle-stimulating hormone, and the body fluid-derived components include at least one of urine, volatile components of urine, blood, sweat, and volatile components of sweat.

[0012] According to this toilet system, by estimating the timing of the next physiological phenomenon based on hormone information, it is possible to improve the accuracy of estimating the timing of the next physiological phenomenon based on biological information.

[0013] A fifth invention is a toilet system according to any one of the second to fourth inventions, characterized in that the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner, the current time series graph representing the hormone information from after the time of the previous physiological phenomenon, and the past time series graph representing the hormone information before the time of the previous physiological phenomenon based on the hormone information over a predetermined period of time.

[0014] This toilet system allows users to visually grasp the daily fluctuations in hormone information, for example, which hormones are being secreted abnormally.

[0015] A sixth invention is a toilet system according to any one of the second to fourth inventions, characterized in that the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner, the current time series graph representing the hormone information from the time of the previous physiological phenomenon onwards, and the past time series graph representing the hormone information between the time of the previous physiological phenomenon and the time of the physiological phenomenon two times before.

[0016] This toilet system allows users to visually grasp the daily fluctuations in hormone information, for example, which hormones are being secreted abnormally.

[0017] A seventh invention is a toilet system according to any one of the second to fourth inventions, further comprising a receiving means for receiving user information including at least one of the user's personal information, lifestyle information, and biological information, and the timing estimation means estimates the next timing based on the user information and the hormone information measured by the measurement unit.

[0018] This toilet system also uses user information to estimate the next time, allowing the estimation result to reflect changes in the user's lifestyle.

[0019] The eighth invention is a toilet system characterized in that, in any one of the second to fourth inventions, analysis of the hormone information is started based on the detection results of a seating sensor that detects when the user sits on the toilet seat of the toilet device.

[0020] According to this toilet system, analysis begins when the user sits on the toilet seat, which means that analysis can be performed without the user having to perform a separate operation to start the analysis on a daily basis.

[0021] A ninth invention is a toilet system in which, in any one of the first to fourth inventions, the time estimation means updates the next time estimated based on the biological information measured at a first time after the previous physiological phenomenon to the next time estimated based on the biological information measured at a second time after the first time.

[0022] According to this toilet system, the estimation results of the time estimation means can be updated based on newly measured measurement results, thereby improving estimation accuracy.

[0023] A tenth invention is a display method characterized in that a measurement unit measures biological information of a user who uses a toilet device, a storage means records the measurement results of the measurement unit together with date information, a timing estimation means estimates the next timing of the woman's physiological phenomenon based on the biological information measured by the measurement unit, and a display means that displays the estimation result of the timing estimation means displays the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomenon.

[0024] This method can display that the timing of the next menstrual phenomenon estimated based on the user's biological information is shifted from the timing of the next menstrual phenomenon estimated from the timing of past menstrual phenomena, i.e., it can display that the timing of a woman's menstrual phenomenon may be shifted.

[0025] An eleventh invention is a display program that causes a display means to display the estimation result of a timing estimation means, wherein the timing estimation means estimates the next timing of a woman's physiological phenomenon based on biometric information measured by a measurement unit that measures the biometric information of a user using a toilet device, and the display program causes the display means to display the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomena.

[0026] This program can display whether the timing of the next menstrual phenomenon estimated based on the user's biological information will differ from the timing of the next menstrual phenomenon estimated from the timing of past menstrual phenomena, i.e., it can display whether the timing of a woman's menstrual phenomenon may be delayed. [Effects of the Invention]

[0027] According to aspects of the present invention, there are provided a toilet system, a display method, and a display program that can display the possibility of a woman's menstrual cycle being out of sync. [Brief explanation of the drawings]

[0028] [Figure 1] FIG. 1 is a schematic block diagram illustrating a toilet system according to an embodiment. [Figure 2] FIG. 2 is a schematic diagram illustrating a part of the toilet system according to the embodiment. [Figure 3] FIG. 3 is a plan view illustrating a part of the toilet system according to the embodiment. [Figure 4] FIG. 4 is a schematic diagram illustrating an example of a display of the toilet system according to the embodiment. [Figure 5] FIG. 5 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. [Figure 6] FIG. 6 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. [Figure 7] FIG. 7 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. [Figure 8] FIG. 8 is a flowchart illustrating the processing according to the embodiment. [Figure 9] 9(a) and 9(b) are graphs illustrating hormone fluctuations. [Figure 10] FIG. 10 is a schematic diagram illustrating a display according to the embodiment. [Figure 11] FIG. 11 is a schematic diagram illustrating a display according to the embodiment. [Figure 12] FIG. 12 is a flowchart illustrating the processing according to the embodiment. [Figure 13] FIG. 13 is a flowchart illustrating the processing according to the embodiment. [Figure 14] FIG. 14 is a schematic block diagram illustrating a modification of the toilet system according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0029] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, like components are designated by like reference numerals and detailed descriptions thereof will be omitted where appropriate. FIG. 1 is a schematic block diagram illustrating a toilet system according to an embodiment. The toilet system 101 according to the embodiment includes a measurement unit 11. The toilet system 101 may also include a toilet device 20 in which at least a part of the measurement unit 11 is provided. The toilet device 20 may further include at least one of a remote control 10, an imaging unit 12, a seating sensor 14, a control unit 15, and a transmission / reception unit 16.

[0030] The toilet system 101 further has a memory 37 (storage means) and a calculation unit 30. The calculation unit 30 includes a timing estimation means 31. The toilet system 101 may have an information processing device 40 provided with the memory 37 and the calculation unit 30. The information processing device 40 may further have at least one of a transmission / reception unit 35 (output means 38) and a control unit 36. The calculation unit 30 may be provided with a hormone information calculation unit 32.

[0031] The toilet system 101 may have a display means 46 that displays the estimation result of the time estimation means 31.

[0032] In this embodiment, the measurement unit 11 measures biological information of a user who uses the toilet device 20. The biological information is, for example, information relating to the hormones of the user (hormone information). The memory 37 stores the measurement results of the measurement unit 11 together with date information.

[0033] The timing estimation means 31 estimates the timing of the next female physiological phenomenon based on the biological information measured by the measurement unit 11 and recorded in the memory 37. The transmission / reception unit 35 outputs the estimation result of the timing estimation means 31 to the display means 46. This notifies the user of the estimation result of the timing estimation means 31 (for example, the timing of the next female physiological phenomenon estimated based on the biological information).

[0034] The female physiological phenomenon may be, for example, menstruation, premenstrual syndrome (PMS), or ovulation. The timing may include at least one of the start and end times. The next timing of the female physiological phenomenon estimated by the timing estimation means 31 is, for example, at least one of the start date, end date, and duration of the next physiological phenomenon. That is, for example, the start date of the next menstruation, the start date of the next PMS, the start date of the next ovulation, etc. are estimated.

[0035] As shown in FIG. 1, at least a part of the measurement unit 11 is provided in a toilet device 20 (a toilet bowl device) installed in a building such as a user's house 43, for example.

[0036] The toilet device 20 has, for example, a function of discharging cleaning water toward the user's private parts to clean them, and a deodorizing function of deodorizing the air inside the toilet bowl. The toilet device 20 may also have an automatic opening and closing function that automatically opens and closes the toilet seat and toilet lid, a heating function that warms the toilet seat, etc.

[0037] The remote control 10 has switches (e.g., push buttons). The remote control 10 may have a touch panel or a display. A user can operate each function of the toilet device 20 by operating the switches on the remote control 10. Specifically, a signal corresponding to the user's operation is transmitted from the remote control 10 to the control unit 15. The control unit 15 controls the operation of each unit of the toilet device 20 in response to the signal from the remote control 10.

[0038] The remote control 10 may have switches for operating functions of the toilet system 101. For example, measurements in the toilet system 101 may be performed by operating the remote control 10.

[0039] The measurement unit 11 measures hormone information based on, for example, components derived from bodily fluids. Hormones secreted within the body are contained in bodily fluids. Bodily fluids include at least one of sweat, urine, blood (e.g., menstrual blood), and saliva. Bodily fluid-derived components include at least one of urine, volatile components of urine, blood, sweat, and volatile components of sweat. Volatile components of bodily fluids (volatile components of urine, volatile components of sweat) are gases vaporized from bodily fluids, and include, for example, the odor of bodily fluids. In other words, hormone information is measured based on at least one of components contained in urine, components contained in volatile components of urine, components contained in blood, components contained in sweat, and components contained in volatile components of sweat.

[0040] The hormone information is, for example, the amount of hormone secretion by the user or a value corresponding to the amount of hormone secretion. For example, the hormone information may include at least one of information on the concentration of hormones in bodily fluids and information on the concentration of hormones in volatile components of bodily fluids. The measurement unit 11 measures, for example, the concentration of hormones in bodily fluid-derived components (bodily fluids or volatile components of bodily fluids). The hormone information measured by the measurement unit 11 may be estimated from a physical quantity that reflects the amount of hormone secretion. The measurement unit 11 may measure (estimate) the hormone concentration or amount of hormones in, for example, bodily fluids.

[0041] Examples of hormones include female hormones and gonadotropins. Specifically, hormones are estrogen, progesterone, luteinizing hormone (LH), or follicle-stimulating hormone (FSH). The hormone information measured by the measurement unit 11 includes information on at least one of estrogen, progesterone, luteinizing hormone, and follicle-stimulating hormone. For example, the measurement unit 11 measures at least one of the concentration of estrogen in a body fluid, the concentration of progesterone in a body fluid, the concentration of luteinizing hormone in a body fluid, and the concentration of follicle-stimulating hormone in a body fluid.

[0042] More specifically, the hormone information may be the concentration of a hormone contained in a bodily fluid-derived component. Even more specifically, the hormone concentration may be a hormone concentration equivalent to the blood concentration calculated from the hormone concentration in the bodily fluid-derived component under predetermined conditions. The hormone information and its unit may be any information that allows for understanding trends in changes, such as daily increases and decreases in hormone secretion.

[0043] The measurement unit 11 has a detection unit 11a (sensor) provided in the toilet device 20. The detection unit 11a comes into contact with bodily fluids and detects hormones contained in the bodily fluids. As an example, the detection unit 11a has an element whose electrical state (e.g., resistance) changes when it binds with a specific hormone molecule. This allows the detection unit 11a to detect an electrical signal (such as a voltage value or a current value) that changes depending on the amount of hormone contained in the bodily fluids, and outputs a detection value corresponding to the detection result to the control unit 15.

[0044] The photographing unit 12 is capable of capturing an image of the inside of the toilet bowl 51 (see FIG. 2(a)) of the toilet 50. For example, the photographing unit 12 is an imaging sensor (camera) that captures an image of the surface of the toilet bowl 51 and acquires an image of the surface of the toilet bowl 51. The photographing unit 12 outputs the acquired image to the control unit 15.

[0045] The seating sensor 14 detects a person sitting on the toilet seat 21 (see FIG. 2(a)). The seating sensor 14 is a sensor that can detect that a user has sat on the toilet seat 21 or that a user is sitting on the toilet seat 21. For example, an infrared light emitting / receiving distance measuring sensor can be used as the seating sensor 14. For example, a microwave sensor or a pyroelectric sensor can also be used as the seating sensor 14. Furthermore, the seating sensor 14 can be, for example, a mechanical switch, an optical sensor, or a magnetic sensor that detects the movement of the toilet seat, or a capacitance sensor that detects a change in capacitance due to sitting, or a piezoelectric sensor that detects a change in pressure due to sitting. The seating sensor 14 can also be capable of detecting a user present above the toilet seat 21 just before sitting on the toilet seat 21. The seating sensor 14 outputs the detection result to the control unit 15.

[0046] The control unit 15 is communicably connected to the remote control 10, the detection unit 11a, the photographing unit 12, the seating sensor 14, and the transmitting / receiving unit 16. The control unit 15 uses an electric circuit such as a computer. The control unit 15 includes, for example, a CPU (Central Processing Unit). The control unit 15 is, for example, a control circuit including a microcomputer.

[0047] The control unit 15 transmits command signals to the detection unit 11a, the photographing unit 12, and the seating sensor 14, respectively, to control the operations of the detection unit 11a, the photographing unit 12, and the seating sensor 14, respectively.

[0048] For example, when the control unit 15 receives a detection result from the seating sensor 14 that a user has sat on the toilet seat 21, the control unit 15 causes the detection unit 11a to detect hormones and the photographing unit 12 to capture an image. Alternatively, the control unit 15 may control the detection unit 11a and the photographing unit 12 in response to a signal from the remote control 10.

[0049] In this example, the transceiver 16 is communicably connected to the transceiver 35 of the information processing device 40 via a modem 41. The transceiver 16 and the transceiver 35 are, for example, communication modules or communication interfaces. The communication standard and other methods between the toilet device 20 and the information processing device 40 are arbitrary.

[0050] The information processing device 40 is an electric circuit including a computer. The information processing device 40 is, for example, a cloud server, and is capable of communicating with the toilet device 20 via the Internet. The information processing device 40 may be a virtual server including multiple server groups. Multiple functional blocks included in the information processing device 40 may be appropriately distributed across multiple server groups.

[0051] The control unit 36 ​​can communicate with the control unit 15 of the toilet device 20 via the transmission / reception unit 35. The control unit 36 ​​receives a signal including the detection value detected by the detection unit 11a and the image acquired by the photographing unit 12.

[0052] The control unit 36 ​​is communicably connected to the timing estimation means 31, hormone information calculation unit 32, transmission / reception unit 35, and memory 37. The control unit 36 ​​uses an electric circuit such as a computer. The control unit 36 ​​includes, for example, a CPU (Central Processing Unit). The control unit 36 ​​controls the operation of the calculation unit 30 (timing estimation means 31, hormone information calculation unit 32) and the transmission / reception unit 35.

[0053] The hormone information calculation unit 32 calculates, for example, the amount or concentration of hormones contained in body fluids, etc., based on the detection value of the detection unit 11a. Specifically, the detection value of the detection unit 11a is converted into hormone information, such as the amount of hormone secretion. In this example, the hormone information measured by the measurement unit 11 may be a value calculated by the hormone information calculation unit 32 based on the detection value of the detection unit 11a. The hormone information calculation unit 32 may be a part of the measurement unit 11. The calculation result of the hormone information calculation unit 32 is output to the control unit 36 ​​and stored in the memory 37.

[0054] The memory 37 receives from the control unit 36 ​​and stores (records) the hormone secretion amounts (measured values) measured by the measurement unit 11. The memory 37 may also receive from the control unit 36 ​​and store images acquired by the imaging unit 12, estimation results from the timing estimation means 31, and calculation results from the hormone information calculation unit 32. The control unit 36 ​​can read out data stored in the memory 37 as needed. The memory 37 includes, for example, a hard disk drive (HDD) and a solid state drive (SSD). Any storage device such as a read only memory (ROM) or a random access memory (RAM) can be used as the memory 37.

[0055] The toilet system 101 may perform personal authentication of the user before measuring hormone information. For example, information identifying the user (ID information) is pre-registered in the toilet system 101. The control unit 15 or 36 of the toilet system 101 identifies the user by checking which registered ID information the user corresponds to. Such personal authentication may be performed automatically, for example, by detecting the load applied to the toilet seat 21 by the seated user, or may be performed by the user inputting ID information via the remote control 10 or the like.

[0056] Measurement of biological information (hormone information) is performed multiple times. For example, measurement of biological information is performed each time the user uses the toilet device 20. The memory 37 stores the date (date and time) when the measurement unit 11 performed the measurement, the biological information measured by the measurement, and information identifying the user who performed the measurement, in association with each other. That is, the memory 37 stores multiple pieces of data for each user, including measurement results of biological information and the time when the measurement was performed. The memory 37 stores time-series data of biological information (e.g., hormone secretion amount) for each user. Temporal changes in the user's biological information are recorded. For example, the time when the hormone secretion amount was measured can be referenced for each user from the hormone secretion amount.

[0057] The timing estimation means 31 receives biological information recorded in the memory 37 from the control unit 36. The timing estimation means 31 estimates the next timing of a physiological phenomenon based on data including biological information (e.g., hormone secretion amount) and the time when the biological information was measured. An example of a method for estimating the next timing of a physiological phenomenon based on biological information will be described later with reference to Figures 9(a) and 9(b). The timing estimation means 31 outputs the estimation result to the control unit 36.

[0058] Furthermore, the memory 37 stores the actual timing of past physiological phenomena for each user. For example, the memory 37 stores data on the actual start date of a past physiological phenomenon (e.g., menstruation) and the cycle of past physiological phenomena.

[0059] The calculation unit 30 estimates the timing of the next menstrual phenomenon based on the timing of the user's past menstrual phenomena, separately from the estimation by the timing estimation means 31. For example, the calculation unit 30 estimates the date on which the next menstruation will start from the actual date on which the previous menstruation started, taking into account the cycle of past menstrual phenomena.

[0060] There may be a discrepancy (hereinafter, simply referred to as "estimation discrepancy") between the next timing estimated by the timing estimation means 31 based on biological information and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomenon. For example, if the hormone balance is disrupted due to poor health of the user, the menstrual cycle may be disrupted, resulting in a discrepancy in the estimation. The estimation result of the timing estimation means 31 may include information about such a discrepancy in the estimation.

[0061] The information processing device 40 outputs the next timing estimated by the timing estimation means 31, the next timing estimated based on the timing of the user's past physiological phenomena, and information on the deviation of the estimation from the output means 38 to the display means 46. The toilet system 101 displays the deviation of the estimation on the display means 46. Specific examples of the display on the display means 46 will be described later with reference to FIGS. 4 to 7.

[0062] In this example, the display means 46 is, for example, a display of a mobile terminal 45 such as a smartphone. The display means 46 is not limited to a display of a mobile terminal, and may be any display device capable of displaying information from the information processing device 40. The display means 46 may be located at any position where the user can view the display. For example, the display means 46 may be a display of the information processing device 40, a display of an external computer or server, or a display attached to a sink, toilet room, toilet equipment, or the like. For example, a liquid crystal display, an organic EL display, or the like may be used as the display means 46.

[0063] In this way, the display means 46 displays the estimated deviation of the next menstrual event timing. The toilet system 101 can display that the next menstrual event timing estimated based on biological information deviates from the next menstrual event timing estimated from past menstrual event timings. In other words, it can display that there is a possibility that the woman's menstrual event timing may be delayed. For example, the user can visually recognize that the woman's menstrual cycle is disrupted.

[0064] As described above, the biological information is, for example, hormone information. Hormones are factors that cause physiological phenomena in women, for example. By estimating the timing of the next physiological phenomenon based on the hormone information, it is possible to improve the accuracy of estimating the timing of the physiological phenomenon based on the biological information.

[0065] The memory 37 stores a program 100 that causes a computer to execute a method implemented by the toilet system 101. For example, the program 100 causes the control unit 36 ​​to control the processing of each element of the toilet system 101. For example, the control unit 36 ​​sequentially reads out the program 100 stored in the memory 37 and sequentially processes the program 100, thereby controlling each element of the toilet system 101 and causing each element to execute each process implemented by the toilet system 101.

[0066] Specifically, the program 100 causes the measurement unit 11 to measure the biological information of a user who uses the toilet device 20. The program 100 causes the memory 37 to store the measurement results of the measurement unit 11 together with date information. The program 100 causes the time estimation means 31 to estimate the next time of the woman's physiological phenomenon based on the biological information measured by the measurement unit 11. The program 100 causes the display means 46 to display the estimation result of the time estimation means and the deviation of the estimation.

[0067] In the example of FIG. 1 , the program 100 is stored in memory 37, and an information processing device 40 is used as at least a part of a computer that executes the program according to the embodiment. However, at least a part of the computer that executes the program is not limited to the information processing device 40, and may be, for example, a terminal having a display means 46 or the toilet device 20. In other words, at least a part of the functions of the information processing device 40 may be provided in a mobile terminal or the toilet device 20. For example, a function of the program 100 that displays the estimation result of the timing estimation means 31 and the estimation deviation on the display means 46 may be installed as an application on a smartphone.

[0068] Circuits such as LSI (Large Scale Integration) and IC (Integrated Circuit) are used for the calculation unit 30. Individual circuits may be used for each block such as the control unit 36, the timing estimation means 31, and the hormone information calculation unit 32, or a circuit in which some or all of them are integrated may be used.

[0069] 1 can be provided in a dispersed or integrated manner as appropriate. In this example, the control unit 36, timing estimation means 31, hormone information calculation unit 32, memory 37, etc. are provided in the information processing device 40. However, this is not limiting, and at least some of the control unit 36, timing estimation means 31, hormone information calculation unit 32, memory 37, etc. may be provided separately from the information processing device 40, for example, in the toilet device 20 or mobile terminal 45.

[0070] Each communication in the embodiment may be wireless communication, wired communication, or a combination thereof. Communication may be via a network such as the Internet or a LAN (Local Area Network).

[0071] FIG. 2 is a schematic diagram illustrating a part of the toilet system according to the embodiment. Fig. 2 is a schematic diagram illustrating a toilet apparatus 20. As shown in Fig. 2, the toilet apparatus 20 has a Western-style seated toilet bowl (hereinafter, for convenience of explanation, simply referred to as "toilet bowl") 50 and a toilet seat apparatus 28 provided thereon. The toilet seat apparatus 28 has a toilet seat 21, a toilet lid 22, and a main body 23.

[0072] The toilet 50 has a toilet bowl 51 (bowl portion) that is recessed downward. The toilet bowl 51 of the toilet 50 receives excrement such as urine and feces from the user. The main body 23 of the toilet seat device 28 is provided above and behind the toilet bowl 51 of the toilet 50. The main body 23 pivotally supports the toilet seat 21 and toilet lid 22 so that they can be opened and closed. A user U sits on the seating surface 21f (upper surface) of the closed toilet seat 21 with the toilet lid 22 in an open position.

[0073] In the example shown in FIG. 2, the detection unit 11a is installed on the seating surface 21f of the toilet seat 21. The detection unit 11a illustrated in FIG. 2 detects hormones contained in the sweat of a user U or in volatile components of the sweat. For example, the detection unit 11a is installed so that a portion of the detection unit 11a is exposed on the seating surface 21f. The detection unit 11a may come into contact with the backs of the thighs of a user sitting on the seating surface 21f.

[0074] The seating sensor 14 (see FIG. 1) detects that the user has sat on the toilet seat 21 of the toilet device 20. For example, when it is detected that the user has sat on the toilet seat 21, the measurement unit 11 measures hormone information. For example, when it is detected that the user has sat on the toilet seat 21, the timing estimation means 31 estimates the next timing of the physiological phenomenon based on the measurement result of the measurement unit 11. In this way, analysis of hormone information is started based on the detection result of the seating sensor 14. That is, the analysis starts when the user sits on the toilet seat 21. This allows the analysis to be performed without the user having to perform a separate operation to start the analysis on a daily basis, for example.

[0075] For example, the hormone information of the user may be acquired each time the user uses the toilet device 20 (each time the user sits on the toilet seat 21), and the time estimation means 31 may perform estimation. For example, the hormone information of the user may be acquired every day, and the time estimation means 31 may perform estimation.

[0076] FIG. 3 is a plan view illustrating a part of the toilet system according to the embodiment. Fig. 3 is a top view of the inside of the main body 23 of the toilet device 20. In the example shown in Fig. 3, instead of the detection unit 11a installed on the toilet seat 21 in Fig. 2, the detection unit 11a is provided inside the main body 23.

[0077] 3, a washing nozzle 24 and a duct 25 are provided inside the main body 23. The washing nozzle 24 ejects washing water toward the user's private parts. The duct 25 exhausts air inside the toilet bowl 51 to the outside.

[0078] 3, the detector 11a is installed inside the duct 25. The detector 11a detects hormones contained in the volatile components of the user's urine. For example, the detector 11a is an odor sensor, and the volatile components of urine are urine odor.

[0079] Duct 25 is, for example, a duct for a deodorizing device. Inside duct 25, a blower fan 26 and a deodorizing catalyst 27 are provided. When blower fan 26 operates, air inside toilet bowl 51 flows into duct 25 through opening 25a provided in the front of duct 25. The air that flows into duct 25 is deodorized by coming into contact with deodorizing catalyst 27, and is then discharged to the outside of toilet device 20 through opening 25b provided in the rear of duct 25.

[0080] Detection unit 11a is located within duct 25 downstream of blower fan 26 and upstream of deodorizing catalyst 27. Detection unit 11a detects hormones contained in air that contains volatile components of the user's urine and is drawn in through opening 25a when it comes into contact with the air.

[0081] In this way, a sensor capable of analyzing components contained in the air is placed inside the deodorizing duct of the toilet seat device 28. The deodorizing duct is equipped with a blower fan that operates while the user is seated. This allows the air inside the toilet bowl to be sucked into the deodorizing duct during urination, exposing the sensor to that air.

[0082] FIG. 4 is a schematic diagram illustrating an example of a display of the toilet system according to the embodiment. For example, the display means 46 displays an image as shown in Fig. 4. This image includes a date information field F1 in which dates are arranged on the horizontal axis, fields F2 and F3 that show the estimated results of the timing of the next physiological phenomenon, and a field F4 that shows the measured biological information.

[0083] Fig. 4 shows an example of the display for January 9. In the date information field F1, January 9 is marked (colored).

[0084] Column F2 indicates the next menstrual period estimated based on the timing of the user's past menstrual periods by marking (coloring) the date position. In this example, the menstrual period is menstruation. Column F2 indicates "prediction from the previous menstrual cycle." Column F2 indicates the timing of the next menstrual period predicted (estimated) from the previous menstrual cycle, for example. In column F2, mark d1 is added at the position from January 20th to January 24th. In other words, mark d1 indicates that the timing of the next menstrual period estimated based on the timing of the user's past menstrual periods is from January 20th to January 24th. The displayed period is, for example, the period from the start date to the end date.

[0085] Column F3 indicates the next period of a physiological phenomenon estimated by the time estimation means 31 based on biological information by adding a mark (color) at the position of the date. Column F3 indicates "Today's Prediction." Column F3 indicates the next period of menstruation predicted (estimated) based on biological information measured up to today (January 9th), for example. In column F3, marks d2 are added at positions from January 18th to January 22nd. In other words, marks d2 indicate that the next period of menstruation estimated by the time estimation means 31 based on biological information is from January 18th to January 22nd.

[0086] The deviation of the estimation is indicated by the mark d1 in the field F2 and the mark d2 in the field F3. Furthermore, the image includes a display e1 that indicates the deviation of the estimation. The display e1 indicates the deviation of the estimation by, for example, text ("Your period may come early"), as shown in FIG. 4.

[0087] In this example, the biological information is hormone information indicating the amount of hormone secretion. Column F4 shows a graph with the horizontal axis representing the date and the vertical axis representing the amount of hormone secretion. This allows the user to visually recognize, for example, the trend of increases and decreases in hormone secretion each day. In this example, column F4 displays a value s1 indicating the amount of LH secretion, a value s2 indicating the amount of FSH secretion, a value s3 indicating the amount of estrogen secretion, and a value s4 indicating the amount of progesterone secretion.

[0088] FIG. 5 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. In this example, in addition to the menstrual period, the ovulation period is also shown as a physiological phenomenon. In column F2, mark d4 is added at the position from January 5th to January 7th. Mark d4 indicates that the ovulation period estimated based on the user's past physiological period is from January 5th to January 7th. Note that mark d4 may be displayed from before January 5th.

[0089] In the field F3, a mark d5 is added at the position from January 3 to January 5. The mark d5 indicates that the ovulation period estimated by the period estimation means 31 based on the biological information is from January 3 to January 5. Note that the mark d5 may be displayed from before January 3.

[0090] In this way, the display means 46 may display the next period of at least one of menstruation, PMS, and ovulation.

[0091] FIG. 6 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. In this example, the field F2 shown in Figure 4 is omitted. Display e2 displays the estimated deviation using text ("It looks like it will be X days earlier than the scheduled date").

[0092] FIG. 7 is a schematic diagram showing another example of the display of the toilet system according to the embodiment. For example, the display means 46 may display a calendar F5 as shown in FIG. 7. The calendar F5 displays dates arranged, for example, by day of the week. Marks d6 indicating "prediction from menstrual log" are added to the dates on the calendar F5. That is, the marks d6 indicate the next period of a menstrual phenomenon estimated based on the timing of the user's past menstrual phenomena. The marks d6 are added from January 20th to January 24th. The marks d6 indicate that the next period of a menstrual phenomenon estimated based on the timing of the user's past menstrual phenomena is from January 20th to January 24th.

[0093] Mark d7, which indicates "prediction from toilet measurement," is added to the dates on calendar F5. That is, mark d7 indicates the next time of a physiological phenomenon estimated by the time estimation means 31 based on biological information. Mark d7 is added from January 18th to January 22nd. Mark d7 indicates that the time of the next physiological phenomenon estimated by the time estimation means 31 based on biological information is from January 18th to January 22nd.

[0094] The estimated deviation is displayed by marks d6 and d7. Furthermore, the calendar F5 may display a display e3 that displays the estimated deviation. The display e3 is, for example, a graphic or symbol, and in this example, is an arrow.

[0095] In this way, the estimation deviation displayed by the display means 46 indicates, for example, that the time estimated by the time estimation means 31 is earlier or later than the time estimated based on the user's past physiological phenomena. The estimation deviation displayed by the display means 46 indicates, for example, the number of days of deviation. The manner in which the estimation deviation is displayed is not limited to the above and may be any manner that allows the user to recognize that there is a deviation in the estimation.

[0096] FIG. 8 is a flowchart illustrating the processing according to the embodiment. When the user's menstruation begins (step S101), the toilet system 101 detects, for example, that the user's menstruation has begun (step S102). For example, when the seating sensor 14 detects that the user is sitting, the control unit 15 causes the image capture unit 12 to capture an image of the inside of the toilet bowl. That is, an image of the inside of the toilet bowl while the user is using it is captured. If blood (menstrual blood) is recognized in the image, the control unit 15 determines that menstruation has begun, and if no blood is recognized, the control unit 15 determines that menstruation has not begun. The control unit 15 determines that the time when blood is recognized in the image is the time of menstruation. This detects the day when menstruation began. Note that the method for detecting menstrual blood may be any known image recognition method as appropriate. The image may include video.

[0097] The toilet system 101 repeats the above-described menstruation detection operation every day. For example, the menstruation detection operation may be performed each time the user uses the toilet device 20. The detected menstruation period is stored in memory 37. The menstrual cycle can be calculated from the intervals at which past menstruation occurred. In this way, data on past menstrual periods (i.e., actual periods when menstruation actually occurred in the past and actual past cycles of menstrual periods) is stored in memory 37.

[0098] The timing of past menstrual events may be manually input by the user into the system. For example, information on the date menstruation began and the menstrual cycle may be input by the user into the toilet system 101 from a mobile terminal 45 such as a smartphone.

[0099] The calculation unit 30 estimates the timing of the next menstrual phenomenon based on the timing of past menstrual phenomena. For example, the calculation unit 30 calculates the expected date of the next menstruation from the previous menstruation (step S103). The expected date is, for example, the start date. For example, the calculation unit 30 estimates the day one menstrual cycle after the actual start date of the previous menstruation detected (or input) in step S102 as the start date of the next menstruation. The end date may be estimated to be a predetermined number of days (for example, four days) after the estimated start date.

[0100] After menstruation is detected in step S102, when the user uses the toilet device 20, the measurement unit 11 measures the user's biological information (hormone information in this example) (step S104). For example, the measurement unit 11 estimates a value representing the amount of hormone secretion (hormone amount).

[0101] The time estimation means 31 estimates the time of the next menstruation based on the biological information. For example, the time estimation means 31 predicts the time of the next menstruation from fluctuations in hormone levels (step S105). For example, the time estimation means 31 predicts the expected date of the next menstruation from fluctuations in hormone levels.

[0102] If there is a deviation in the estimation, the display means 46 displays the deviation. For example, if the expected date of the next menstruation calculated from the previous menstruation differs from the expected date predicted from the fluctuations in hormone levels (step S106: YES), the display means 46 displays the deviation in the expected date (step S107). Thereafter, steps S104 to S106 are repeated.

[0103] For example, if the expected date of the next menstruation calculated from the previous menstruation is the same as the expected date predicted from the fluctuations in hormone levels (step S106: NO), steps S104 to S106 are repeated.

[0104] In this way, after menstruation is detected, steps S104 to S106 are repeated. The time estimation means 31 may update the estimation result every time hormone information is measured, or at predetermined intervals. For example, the time estimation means 31 updates the time of the next physiological phenomenon estimated based on biological information measured at a first time to the time of the next physiological phenomenon estimated based on biological information measured at a second time. The first time is the time after the previous physiological phenomenon. The second time is the time after the first time. The estimation result of the time estimation means 31 can be updated based on newly measured measurement results, thereby improving estimation accuracy. The display means 46 displays the deviation of the estimation based on the updated estimation result.

[0105] For example, the time estimation means 31 may update the estimation result daily based on the daily measurement results by the measurement unit 11. The time estimation means 31 may update the estimation result from the next time estimated on the first date to the next time estimated on the second date. That is, the time estimation means 31 estimates the next time based on the biological information measured on the first date after the previous physiological phenomenon. The time estimation means 31 estimates the next time based on the biological information measured on the second date after the first date. Then, on the second date, the time estimation means 31 updates the next time estimated on the first date to the next time estimated on the second date.

[0106] In the example of FIG. 8, the case of estimating the menstrual period has been described. However, in the embodiment, the timing of ovulation may be estimated. For example, the calculation unit 30 estimates the next timing of ovulation based on the timing of past physiological phenomena. For example, the calculation unit 30 estimates the next timing of ovulation to be a predetermined number of days (e.g., 14 days) before the timing of the next menstruation estimated based on the timing of the previous menstruation. In addition, the embodiment may estimate the timing of PMS. For example, the calculation unit 30 estimates the timing of the next PMS based on the timing of past physiological phenomena. For example, the calculation unit 30 estimates the timing of the next ovulation to be a predetermined number of days (e.g., five days) before the timing of the next menstruation estimated based on the timing of the previous menstruation.

[0107] An example of a method for estimating the next timing of a physiological phenomenon based on hormone information will be described with reference to FIG. 9(a) and 9(b) are graphs illustrating hormone fluctuations. The horizontal axis represents time (days), and the vertical axis represents values ​​(hormone amounts) that represent the secretion amounts of each hormone. The hormone amounts correspond to the hormone information measured by the measurement unit 11. Figures 9(a) and 9(b) illustrate the fluctuations of each hormone during one menstrual cycle from one menstrual period to the next. One menstrual cycle is, for example, about 28 days.

[0108] As shown in FIG. 9(a), the time estimation means 31 estimates the next menstruation start date T2 as a predetermined number of days (e.g., 14 days) after the day T1 on which the value representing the LH secretion rate suddenly drops. The day T1 on which the value representing the LH secretion rate suddenly drops may be, for example, the day on which the measured value representing the LH secretion rate falls below a predetermined value th1, or the day on which the measured value representing the LH secretion rate decreases by a predetermined value or more per day. Alternatively, the time estimation means 31 may estimate the next menstruation start date T2 as a predetermined number of days (e.g., 15 days) after the day T3 on which the value representing the LH secretion rate peaked pk1. Similarly, the time estimation means 31 may estimate the next menstruation start date as a predetermined number of days after the day on which the value representing the FSH secretion rate suddenly drops. The next menstruation end date may also be estimated as a predetermined number of days (e.g., several days) after the estimated start date T2. As shown in FIG. 9(b), the periodic fluctuation of the value representing the amount of estrogen secretion has two peaks. The time estimation means 31 may estimate, for example, the date T2 of the start of the next menstruation as a predetermined number of days (e.g., seven days) after the day T4 of the second peak pk2 of the value representing the amount of estrogen secretion. Similarly, the time estimation means 31 may estimate, for example, the date T2 of the start of the next menstruation as a predetermined number of days (e.g., five days) after the day T5 of the peak pk3 of the value representing the amount of progesterone secretion. The time estimation means 31 may estimate, for example, the time when the value representing the amount of estrogen secretion and / or the value representing the amount of progesterone secretion decreases as the date T2 of the start of the next menstruation. For example, the time estimation means 31 may estimate, for example, the date T2 of the start of the next menstruation as a predetermined number of days (e.g., several days) after the day T6 on which the measured value representing the amount of estrogen secretion fell below a predetermined value th2.

[0109] 9(a), the timing estimation means 31 may estimate the next ovulation time to be a predetermined time (e.g., 40 hours) after time T7 when the value representing the LH secretion amount suddenly increases. For example, time T7 when the value representing the LH secretion amount suddenly increases may be the time when the measured value representing the LH secretion amount exceeds a predetermined value th3, or the time when the measured value representing the LH secretion amount increases by more than a predetermined value per day. 9(b), the time estimation means 31 may estimate, for example, the time when the value representing the amount of estrogen secretion is highest (first peak) as the time of the next ovulation. For example, the time estimation means 31 may estimate, as the time of the next ovulation, a predetermined time (for example, several days) after the time T8 when the value representing the amount of estrogen secretion exceeds a predetermined value th4.

[0110] The timing estimation means 31 estimates that the next PMS will occur a predetermined number of days (for example, 4 to 10 days) after the day T1 when the value representing the amount of LH secretion suddenly drops. Alternatively, the timing estimation means 31 may estimate, for example, the time when the value representing the amount of estrogen secretion decreases as the onset date of the next PMS. For example, the onset date of the next PMS may be estimated to be a predetermined number of days (e.g., several days) after the day T9 when the measured amount of estrogen secretion fell below a predetermined value th5.

[0111] In this way, the timing estimation means 31 detects the timing at which the hormone level satisfies a predetermined condition, taking into account the peak and speed of change (daily increase or decrease) in the periodic fluctuations in the hormone level. The timing estimation means 31 estimates that the timing of a physiological phenomenon is a predetermined time after the detected timing. The predetermined condition may be determined as appropriate so as to grasp fluctuations in the amount of each hormone. The predetermined time may be determined as appropriate based on past data or statistical data on the relationship between the hormone level and the timing of a physiological phenomenon. For example, the predetermined time may be determined based on the time from the timing at which the hormone level satisfied the predetermined condition in past fluctuations in hormone level to the time at which a physiological phenomenon occurred in the past.

[0112] The method used by the timing estimation means 31 is not limited to the above, and any method for estimating the timing of a future physiological phenomenon based on measured hormone information may be used. For example, the timing estimation means 31 may estimate the timing of a physiological phenomenon based on fluctuations in two or more hormones, rather than just fluctuations in one type of hormone. For example, the timing estimation means 31 may detect the timing when the amount of fluctuation in a first hormone satisfies a first predetermined condition and the amount of fluctuation in a second hormone satisfies a second predetermined condition.

[0113] 10 and 11 are schematic diagrams illustrating displays according to the embodiment. For example, the display means 46 may display an image as shown in Fig. 10. When the display means 46 is a display of a mobile terminal such as a smartphone, the display means 46 may display an image as shown in Fig. 11, similar to Fig. 10.

[0114] FIG. 10 shows an example of the display for March 16th. FIG. 10 shows a graph of the time series of hormone information. The vertical axis of the graph is a value (hormone amount) that represents the secretion amount of each hormone. The horizontal axis of the graph is time (number of days). As shown in FIG. 10, the display means 46 displays current time series graphs c1 and c2 of hormone information and past time series graphs p1 and p2 of hormone information in an overlapping manner.

[0115] The current time series graph represents hormone information from the time of the previous menstrual phenomenon onward. For example, the current time series graph represents hormone information up to the most recent measurement date (for example, today, March 16th). Specifically, time series graph c1 represents the temporal change in the value representing the amount of estrogen secreted from the day the previous menstruation began. Time series graph c2 represents the temporal change in the value representing the amount of LH secreted from the day the previous menstruation began.

[0116] In the example of Figure 10, the past time series graphs represent average changes in hormone levels over the past cycle. For example, past time series graph p1 represents the average values ​​representing the amount of estrogen secreted over a predetermined period before the start of the previous menstruation. Past time series graph p2 represents the average values ​​representing the amount of LH secreted over a predetermined period before the start of the previous menstruation.

[0117] In this way, a past time series graph represents hormone information prior to the last menstrual period based on hormone information over a predetermined period of time. For example, a past time series graph is calculated by averaging hormone information over a predetermined period of time in the past. The predetermined period of time in the past is a period prior to the last menstrual period, which is a period of two or more cycles of hormone fluctuations. Note that the average is calculated by averaging data that have the same number of days from the menstrual period (e.g., the day menstruation began). The number of days from the menstrual period for each piece of data is the number of days counted from the menstrual period immediately preceding the date on which each piece of data was measured.

[0118] The display means 46 displays the period of the menstrual phenomenon in the current time series graphs c1 and c2 (in this example, the day the menstruation started) and the period of the menstrual phenomenon in the past time series graphs p1 and p2, aligned on the date axis.

[0119] The past time series graph may represent changes in hormone levels during the most recent menstrual cycle. For example, the past time series graph p1 may represent values ​​indicating the amount of estrogen secreted from the day before the start of the previous menstruation to the day before the start of the previous menstruation. The past time series graph p2 may represent values ​​indicating the amount of LH secreted from the day before the start of the previous menstruation to the day before the start of the previous menstruation. In this way, the past time series graph may represent hormone information between the time of the previous menstrual phenomenon and the time of the menstrual phenomenon before the time before the start of the previous menstruation.

[0120] According to the embodiment, it is possible to visually grasp the state of daily fluctuations in hormone information, for example, it is possible to visually identify which hormones are being abnormally secreted.

[0121] In the time series graphs shown in Figures 4, 5, 6, 9, 10, and 11, the vertical axis represents the amount of hormones, but instead, the vertical axis may represent an index indicating a woman's physical condition calculated by adding predetermined conditions to the amount of hormones. In this case, the index indicating a woman's physical condition may be calculated from urinary metabolites of female hormones (estradiol glucuronide, pregnanediol) instead of the amount of hormones.

[0122] FIG. 12 is a flowchart illustrating the processing according to the embodiment. When the user's menstruation begins (step S201), the toilet system 101 detects, for example, that the user's menstruation has begun (step S202). Alternatively, the user may manually input the start of menstruation into the toilet system 101. The expected date of the next menstruation is calculated (step S203).

[0123] For example, the calculation unit 30 calculates the average change in hormone levels during one cycle before the previous menstruation. In this example, the average fluctuation in hormone levels over the past three cycles is calculated (step S204).

[0124] When the user uses the toilet device 20, the measurement unit 11 measures the user's biological information (step S205). For example, the measurement unit 11 estimates the amount of hormones. The estimated amount of hormones is stored (step S206). Every time the user uses the toilet device 20, steps S205 and S206 are repeated (step S207: NO).

[0125] The user launches the app (step S207: YES) and selects the graph format (step S208). The display means 46 displays a graph of the average hormone level fluctuation and the estimated hormone level fluctuation since the previous menstruation (step S209). That is, for example, an image such as that shown in FIG. 11 is displayed.

[0126] FIG. 13 is a flowchart illustrating the processing according to the embodiment. When the user's menstruation begins (step S301), the toilet system 101 detects, for example, that the user's menstruation has begun (step S302). Alternatively, the user may manually input the start of menstruation into the toilet system 101. The expected date of the next menstruation is calculated (step S303).

[0127] When the user uses the toilet device 20, the measurement unit 11 measures the user's biological information (step S304). For example, the measurement unit 11 estimates the amount of hormones. The estimated amount of hormones is stored (step S305). Every time the user uses the toilet device 20, steps S304 and S305 are repeated (step S306: NO).

[0128] The user launches the app (step S306: YES) and selects the graph format (step S307). The display means 46 displays a graph of the fluctuation in hormone levels between the menstruation two months before last and the previous menstruation, and the fluctuation in estimated hormone levels since the previous menstruation.

[0129] FIG. 14 is a schematic block diagram illustrating a modification of the toilet system according to the embodiment. As shown in FIG. 14, the toilet system 101 may have a receiving unit 39 that receives user information. In this example, the receiving unit 39 is a transceiver 35. The user information includes at least one of the user's personal information, lifestyle information, and biological information. Specifically, the user information includes at least one of heart rate, body temperature (skin temperature), activity level, and sleep time. The activity level may be any amount related to the user's activity. For example, the activity level includes at least one of the number of steps, walking distance, and calories burned. The user information is acquired by various sensors provided in a terminal 47, which is a wearable terminal such as a smartwatch.

[0130] The accepting means 39 accepts user information from the information input means 48. The information input means 48 is provided in, for example, the terminal 47. The information input means 48 may also be provided in a mobile terminal such as a smartphone, or other computer equipment. For example, the accepting means 39 and the information input means 48 are communication modules capable of sending and receiving user information. The accepting means 39 and the information input means 48 are communicatively connected directly or indirectly via a network or the like. The accepting means 39 may be a device or component capable of receiving signals via a wired or wireless connection. The information input means 48 may be a device or component capable of transmitting signals via a wired or wireless connection, and may include a touch panel, a keyboard, or the like.

[0131] The timing estimation means 31 may estimate the timing of the next physiological phenomenon based on user information such as the user's lifestyle information and hormone information measured by the measurement unit 11. By estimating the timing of the next physiological phenomenon using the user information as well, the estimation accuracy can be improved. For example, lifestyle changes specific to the user can be reflected in the estimation result.

[0132] For example, a wearable device measures a user's heart rate data. Heart rate data is related to changes in stress levels. Changes in stress levels are related to fluctuations in the menstrual cycle. Therefore, the menstrual cycle predicted from hormone levels is corrected based on the fluctuations in heart rate data and hormone levels, improving the accuracy of the prediction. Specifically, if the heart rate data indicates a relatively high value, the user is considered to have entered the ovulation period and the menstrual cycle is revised. On the other hand, if the heart rate data indicates a relatively low value, the user is considered to have entered the menstrual period and the menstrual cycle predicted from hormone levels is revised.

[0133] For example, a wearable device measures a user's skin temperature data. Because skin temperature fluctuates in relation to the menstrual cycle, changes in skin temperature can be used to estimate, for example, whether ovulation has occurred. Therefore, the ovulation date is determined based on changes in skin temperature data, and the predicted menstrual cycle is corrected based on this, improving prediction accuracy. Specifically, if the skin temperature indicates a relatively high value, the user is considered to have entered the ovulation period and the menstrual cycle is revised. On the other hand, if the skin temperature indicates a relatively low value, the user is considered to have entered the menstrual period and the menstrual cycle predicted from hormone levels is revised.

[0134] For example, a wearable device measures a user's activity level or sleep duration. Activity level and sleep duration affect the menstrual cycle. Therefore, the menstrual cycle predicted from hormone levels can be corrected based on changes in activity level or sleep duration, improving prediction accuracy. For example, if the user's sleep duration is relatively short, the rhythm of body temperature throughout the day becomes uneven and the sleep becomes shallow, so the user is considered to be in a state immediately before menstruation, and the menstrual cycle predicted from hormone levels is revised.

[0135] The processes in the methods described in the above embodiments can be executed based on a software program. A general-purpose computer system can store this program in advance and load it to obtain the same effects as those of the methods described in the above embodiments.

[0136] The program according to the embodiment is not limited to a program for causing a computer to execute the above-described method (a program installed in the computer), but may also be in the form of a computer-readable recording medium. Examples of recording media that can be used include CD-ROMs (-R / -RW), magneto-optical disks, hard disks (HDs), DVD-ROMs (-R / -RW / -RAMs), flexible disks (FDs), flash memories, and similar recording media, as well as various other ROMs and RAMs. Any storage format is acceptable as long as the recording medium is readable by a computer or embedded system. A computer can achieve operations similar to those of the above-described embodiment by loading the program from the recording medium and having a CPU execute instructions written in the program based on the program. Of course, the computer may acquire or load the program via a network.

[0137] In addition, an OS (operating system) running on a computer based on instructions from a program installed on a computer or embedded system from a recording medium, database management software, MW (middleware) operating on a network, etc. may execute some of the processes required to realize the embodiment.

[0138] Furthermore, the recording medium in the embodiments is not limited to a recording medium independent of a computer or an embedded system, but also includes a recording medium on which a program transmitted via a LAN, the Internet, etc. is downloaded and stored or temporarily stored. The number of recording media is not limited to one, and the recording medium in the embodiments also includes cases where the processing in the embodiments is executed from multiple recording media. The configuration of the recording media may be any configuration.

[0139] The computer or embedded system in the embodiments is for executing each process in the embodiments based on a program stored on a recording medium, and may be configured as either a device consisting of a personal computer, a microcomputer, etc., or a system in which multiple devices are connected to a network.

[0140] Furthermore, the computer in the embodiments is not limited to a personal computer, but also includes an arithmetic processing unit, a microcomputer, etc. included in information processing equipment, and is a general term for equipment or devices that can realize the functions in the embodiments using a program.

[0141] Embodiments may include the following features. (Configuration 1) a measurement unit that measures biological information of a user who uses the toilet device; a storage means for storing the measurement results of the measurement unit together with date information; a timing estimation means for estimating the next timing of a female physiological phenomenon based on the biological information measured by the measurement unit; Equipped with A toilet system characterized in that a display means for displaying the estimation result of the timing estimation means displays the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomena. (Configuration 2) The toilet system according to configuration 1, wherein the biological information is hormone information. (Configuration 3) The toilet system according to configuration 2, wherein the measurement unit measures the hormone information based on components derived from the user's bodily fluids. (Configuration 4) the hormone information includes information on at least one of estrogen, progesterone, luteinizing hormone, and follicle-stimulating hormone; The toilet system according to configuration 3, wherein the bodily fluid-derived components include at least one of urine, volatile components of urine, blood, sweat, and volatile components of sweat. (Configuration 5) the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner; the current time series graph represents the hormone information from the previous physiological phenomenon onward; A toilet system described in any one of configurations 2 to 4, characterized in that the past time series graph represents the hormone information before the time of the previous physiological phenomenon based on the hormone information over a predetermined period of time. (Configuration 6) the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner; the current time series graph represents the hormone information from the previous physiological phenomenon onward; The toilet system according to any one of configurations 2 to 4, wherein the past time series graph represents the hormone information between the period of the previous physiological phenomenon and the period of the physiological phenomenon before that. (Configuration 7) The system further includes a receiving unit for receiving user information including at least one of personal information, lifestyle information, and biological information of the user, The toilet system described in any one of configurations 2 to 6, wherein the timing estimation means estimates the next timing based on the user information and the hormone information measured by the measurement unit. (Configuration 8) The toilet system described in any one of configurations 2 to 7, characterized in that analysis of the hormone information is started based on the detection result of a seating sensor that detects that the user has sat on the toilet seat of the toilet device. (Configuration 9) The toilet system described in any one of configurations 1 to 8, wherein the timing estimation means updates the next timing estimated based on the biological information measured at a first time after the previous physiological phenomenon to the next timing estimated based on the biological information measured at a second time after the first time. (Configuration 10) The measurement unit measures biological information of a user who uses the toilet device; The measurement result of the measurement unit is recorded together with date information by a storage means, a timing estimation means for estimating the next timing of the woman's physiological phenomenon based on the biological information measured by the measurement unit; a display means for displaying the estimation result of the timing estimation means, the display means displaying a difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the physiological phenomenon in the past of the user. (Configuration 11) A display program that causes a display means to display an estimation result of the timing estimation means, the timing estimation means estimates the next timing of a female physiological phenomenon based on biological information measured by a measurement unit that measures biological information of a user who uses the toilet device; The display program is characterized in that it causes the display means to display the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomena.

[0142] The above describes the embodiments of the present invention. However, the present invention is not limited to these descriptions. Design modifications made by a person 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 characteristics of the present invention. For example, the shape, dimensions, materials, arrangement, installation form, etc. of each element are not limited to those exemplified and can be modified as appropriate. Furthermore, the elements of each of the above-described embodiments can be combined to the extent technically possible, and such combinations are also included within the scope of the present invention as long as they include the features of the present invention. [Explanation of symbols]

[0143] 10: Remote control 11: Measuring part 11a: Detection unit 12: Photography Department 14: Seat sensor 15: Control unit 16: Transmitter / receiver 20: Toilet equipment 21: Toilet seat 21f: Seating surface 22: Toilet lid 23: Main body 24: Cleaning nozzle 25: Duct 25a, 25b: Opening 26: Blower fan 27: Deodorizing catalyst 28: Toilet seat device 30: Arithmetic section 31: Timing estimation means 32: Hormone information calculation unit 35: Transmitter / receiver 36: Control unit 37: Memory 38: Output means 39: Reception method 40: Information processing device 41: Modem 43:House 45: Mobile devices 46:Display means 47: Terminal 48: Information input means 50: Toilet 51: Toilet bowl 100: Program 101: Toilet System F1: Date information field F2~F4: Column F5: Calendar S101-S107, S201-S209, S301-307: Step T1~T6, T9: Sun T7, T8: Time U:User c1, c2: Time series graphs d1~d7: Mark e1~e3:Display p1, p2: Time series graph pk1~pk3: Peak th1~th5: predetermined value

Claims

1. a measurement unit that measures biological information of a user who uses the toilet device; a storage means for storing the measurement results of the measurement unit together with date information; a timing estimation means for estimating the next timing of a female physiological phenomenon based on the biological information measured by the measurement unit; Equipped with A toilet system characterized in that a display means for displaying the estimation result of the timing estimation means displays the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomena.

2. 2. The toilet system according to claim 1, wherein the biological information is hormone information.

3. The toilet system according to claim 2, wherein the measurement unit measures the hormone information based on components derived from the user's bodily fluids.

4. the hormone information includes information on at least one of estrogen, progesterone, luteinizing hormone, and follicle-stimulating hormone; 4. The toilet system according to claim 3, wherein the body fluid-derived components include at least one of urine, volatile components of urine, blood, sweat, and volatile components of sweat.

5. the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner; the current time series graph represents the hormone information from the previous physiological phenomenon onward; A toilet system described in any one of claims 2 to 4, characterized in that the past time series graph represents the hormone information before the time of the previous physiological phenomenon based on the hormone information over a predetermined period of time.

6. the display means displays a current time series graph of the hormone information and a past time series graph of the hormone information in an overlapping manner; the current time series graph represents the hormone information from the previous physiological phenomenon onward; A toilet system described in any one of claims 2 to 4, characterized in that the past time series graph represents the hormone information between the time of the previous physiological phenomenon and the time of the physiological phenomenon two times before that.

7. The system further includes a receiving unit for receiving user information including at least one of personal information, lifestyle information, and biological information of the user, A toilet system described in any one of claims 2 to 4, characterized in that the timing estimation means estimates the next timing based on the user information and the hormone information measured by the measurement unit.

8. A toilet system as described in any one of claims 2 to 4, characterized in that analysis of the hormone information is started based on the detection results of a seating sensor that detects when the user sits on the toilet seat of the toilet device.

9. The toilet system described in any one of claims 1 to 4, characterized in that the timing estimation means updates the next timing estimated based on the biological information measured at a first time after the previous physiological phenomenon to the next timing estimated based on the biological information measured at a second time after the first time.

10. The measurement unit measures biological information of a user who uses the toilet device; The measurement result of the measurement unit is recorded together with date information by a storage means, a timing estimation means for estimating the next timing of the woman's physiological phenomenon based on the biological information measured by the measurement unit; a display means for displaying the estimation result of the timing estimation means, the display means displaying a difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the physiological phenomenon in the past of the user.

11. A display program that causes a display means to display an estimation result of the timing estimation means, the timing estimation means estimates the next timing of a female physiological phenomenon based on biological information measured by a measurement unit that measures biological information of a user who uses the toilet device; The display program is characterized in that it causes the display means to display the difference between the next timing estimated by the timing estimation means and the next timing of the physiological phenomenon estimated based on the timing of the user's past physiological phenomenon.

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