Urine information processing equipment, urine information processing system, urine information processing method, and program

Abstract

To provide urine information processing equipment that enables a user with no expertise to easily grasp his / her own urination disorder, a urine information processing system, a urine information processing method, and a program.SOLUTION: Urine information processing equipment 10 comprises: a determination part 11 that determines whether or not a user has symptoms of urination disorder, on the basis of urination time indicating time from the time of preparation completion of the user's urination to the start time of the user's urination; and a generation part 12 that generates information for presenting the result of determination.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a urine information processing device, a urine information processing system, a urine information processing method, and a program. [Background technology]

[0002] In order to detect urinary disorders, technology is being developed to record urination volume. For example, Patent Document 1 discloses a urination volume record creating system capable of recording the amount of urination at home. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2009-258078 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the urination volume record creation system disclosed in Patent Document 1, a user without specialized knowledge cannot determine symptoms of his / her own urinary disorder even by looking at the record of the urination volume.

[0005] In view of the above-mentioned problems, the object of the present disclosure is to provide a urine information processing device, a urine information processing system, a urine information processing method, and a program that allow users without specialized knowledge to easily understand symptoms of their own urinary disorders. [Means for solving the problem]

[0006] The urine information processing device according to the present disclosure includes: A determination unit that determines whether or not the user has a symptom of urinary disorder based on a urination time indicating a time from when the user completes preparation for urination to when the user starts urination; A generation unit that generates information for presenting the determination result; Equipped with.

[0007] The urine information processing system according to the present disclosure includes: A urine information processing system including an information processing device and a urine information processing device, The information processing device records a urination time indicating a time from a time when the user completes preparation for urination to a time when the user starts urination, and transmits the urination time to the urine information processing device; The urine information processing device determines whether or not the user has a symptom of urinary disorder based on the received urination time, and generates information for presenting the determination result.

[0008] The urine information processing method according to the present disclosure includes: determining whether the user has a symptom of urination disorder based on a urination time indicating a time from when the user is ready to urinate to when the user starts urination; generating information for presenting the determination result; The processing is carried out by a computer.

[0009] The program according to the present disclosure is determining whether the user has a symptom of urination disorder based on a urination time indicating a time from when the user is ready to urinate to when the user starts urination; generating information for presenting the determination result; The processing is executed by a computer. Effect of the Invention

[0010] The present disclosure can provide a urine information processing device, a urine information processing system, a urine information processing method, and a program that allow users without specialized knowledge to easily understand their own urination disorders. [Brief description of the drawings]

[0011] [Figure 1] 1 is a block diagram illustrating a urine information processing device according to the present disclosure. [Diagram 2] 1 is a flowchart illustrating urine information processing according to the present disclosure. [Diagram 3]FIG. 1 is a block diagram illustrating a urine information processing system according to the present disclosure. [Figure 4] FIG. 13 is a diagram showing times related to a user's urination. [Diagram 5] 13 is a diagram showing an example in which a determination result and urination information are displayed on a user's terminal device. FIG. [Figure 6] 13 is a diagram showing an example in which a determination result and urination information are displayed on a user's terminal device. FIG. [Figure 7] 1 is a flowchart illustrating urine information processing according to the present disclosure. [Figure 8] 1 is a block diagram showing a configuration example of a urine information processing device and an information processing device according to the present disclosure. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, the present disclosure will be described through embodiments, but the disclosure according to the claims is not limited to the following embodiments. In addition, all of the configurations described in the embodiments are not necessarily essential as means for solving the problems. In each drawing, the same elements are given the same reference numerals, and duplicated explanations are omitted as necessary.

[0013] <Embodiment 1> <Urine information processing device> Hereinafter, the configuration of the urine information processing device according to the present disclosure will be described with reference to Fig. 1. Fig. 1 is a block diagram illustrating the urine information processing device according to the present disclosure. As shown in Fig. 1, the urine information processing device 10 includes a determination unit 11 and a generation unit 12.

[0014] First, the determination unit 11 will be described. The determination unit 11 determines whether or not the user has a symptom of urinary disorder based on the urination time indicating the time from when the user's urination preparation is completed to when the user starts urination. The user is a person who uses the toilet. The time when the user's urination preparation is completed indicates the time when the user assumes a posture for urination, for example, the time when the user sits on the toilet seat. As other examples, the time when the user's urination preparation is completed may be the time when the user lifts the toilet seat, the time when the toilet seat automatically lifts, or the time when the body stops in front of the toilet seat.

[0015] The user's urination start time indicates the time when the user starts urinating, and is, for example, the time when the water level changes due to the toilet. The change in the water level can be, for example, a change in the color of the water level, the appearance of air bubbles on the water level, or the water level rising.

[0016] The urine information processing device 10 is capable of communicating with an information processing device (not shown in FIG. 1). The information processing device (not shown in FIG. 1) records time information related to the user's urination and transmits the information to the urine information processing device 10. This allows the urine information processing device 10 to obtain the urination time indicating the time from when the user completes preparation for urination to when the user starts urination.

[0017] If the time when the user completes preparation for urination is 10:00 and the time when the user starts urination is 10:01, the urination time is the time when the user starts urination, minus the time when the user completes preparation for urination, that is, 10:00. In other words, if the time when the user completes preparation for urination is 10:00 and the time when the user starts urination is 10:01, the urination time is 1 minute.

[0018] For example, when the average urination time in a day is longer than a predetermined time, the determination unit 11 determines that the user has a symptom of urinary disorder. The predetermined time is an arbitrarily settable urination time, for example, an average of previously recorded urination times.

[0019] A more specific description will be given with reference to Table 1. Table 1 shows time information and duration related to the user's urination. Table 1 shows time information and duration related to the user's urination from 10:00 to 15:00. As shown in Table 1, the average user's urination time from 10:00 to 15:00 is 10 seconds. As shown in Table 1, the predetermined time is 5 seconds. In the example shown in Table 1, the determination unit 11 determines that the user has a symptom of urinary disorder because the average user's urination time is longer than the predetermined time.

[0020] [Table 1]

[0021] Next, the generating unit 12 will be described. The generating unit 12 generates information for presenting the determination result. The generating unit 12 generates information for presenting the determination result to the user by any one of sound, moving image, vibration, text characters, and the like.

[0022] For example, when the urine information processing device 10 can communicate with a speaker (not shown in FIG. 1), the generation unit 12 generates information for presenting the determination result to the user by sound. As another example, when the urine information processing device 10 can communicate with a display device (not shown in FIG. 1), the generation unit 12 generates information for presenting the determination result to the user by text characters.

[0023] In this way, in the urine information processing device according to the present disclosure, the determination unit 11 determines whether or not the user has a symptom of urinary disorder based on the urination time. Then, the generation unit 12 generates information for presenting the determination result to the user. By adopting such a configuration, the urine information processing device according to the present disclosure allows a user without specialized knowledge to easily understand his / her own symptoms of urinary disorder.

[0024] <Urine information processing method> Next, a urine information processing method according to the present disclosure will be described. Fig. 2 is a flowchart showing the urine information processing according to the present disclosure. Each step is performed by the determination unit 11 and the generation unit 12 shown in Fig. 1.

[0025] First, the determination unit 11 determines whether the user has a symptom of urinary disorder based on the urination time indicating the time from when the user's urination preparation is completed to when the user starts urination (step ST1). For example, the determination unit 11 determines whether the average urination time of the user in one day is longer than a predetermined time.

[0026] When the determination unit 11 determines that the user has a symptom of urinary disorder (step ST1 YES), the generation unit 12 generates information for presenting the determination result. More specifically, the generation unit 12 generates information for presenting the determination result to the user by any one of sound, moving image, vibration, text character, etc.

[0027] On the other hand, when the determination unit 11 determines that the user has no sign of urinary disorder (step ST1 NO), this process ends.

[0028] In this way, the urine information processing method according to the present disclosure determines whether or not the user has a symptom of urinary disorder based on the urination time, and generates information for presenting the determination result to the user. By adopting such a configuration, the urine information processing method according to the present disclosure allows a user without specialized knowledge to easily grasp the symptoms of his / her own urinary disorder.

[0029] <Embodiment 2> <Urine information processing system> Hereinafter, the configuration of the urine information processing system according to the present disclosure will be described with reference to Fig. 3. Fig. 3 is a block diagram illustrating the urine information processing system according to the present disclosure. As shown in Fig. 3, the urine information processing system 30 includes a urine information processing device 10 and an information processing device 20. The urine information processing device 10 includes a determination unit 11 and a generation unit 12, similar to Fig. 1. The information processing device 20 includes a user identification unit 21, a posture detection unit 22, a urine detection unit 23, and a time recording unit 24. The urine information processing device 10 and the information processing device 20 are capable of communicating with each other, and each functional block in the urine information processing device 10 and the information processing device 20 is capable of transmitting and receiving information.

[0030] <Information processing device> First, the information processing device 20 will be described. The user identification unit 21 identifies the user. The user identification unit 21 is, for example, an RFID reader. When the user holds up the terminal device over the user identification unit 21 (RFID reader), the user identification unit 21 identifies the user. The user identification unit 21 may also identify the user by authentication technology such as face authentication technology. Note that if the user can be limited to one person, the information processing device 20 does not need to include the user identification unit 21.

[0031] The posture detection unit 22 detects that the user has assumed a posture for urination. More specifically, the posture detection unit 22 detects that the user has sat on the toilet seat. The posture detection unit 22 may also detect the action of lifting the toilet seat. Furthermore, the posture detection unit 22 may detect a state in which the user has unzipped his / her pants in front of the toilet seat or has completed the action of taking off his / her pants and the body is still. In this way, the posture detection unit 22 can detect even standing urination.

[0032] When the posture detection unit 22 detects the posture of the user for urination, the urine detection unit 23 detects the start and end of urination of the user. More specifically, the urine detection unit 23 continuously captures the water surface. This is to detect the change in the water surface caused by urination. The urine detection unit 23 detects the change in the water surface caused by the user's urination using an image recognition model that judges the image on a pixel-by-pixel basis, for example, semantic segmentation. With this configuration, the urine detection unit 23 can accurately detect the start and end of urination of the user. The urine detection unit 23 detects the timing when the water surface starts to change as the start of urination, and the timing when the water surface change ends as the end of urination.

[0033] The time recording unit 24 records time information regarding the user's urination, including the urination time indicating the time from when the user's urination preparation is completed to when the user's urination start time. When the posture detection unit 22 detects the user's posture for urination, the time recording unit 24 records the time as the time when the urination preparation is completed. In addition, when the urine detection unit 23 detects the user's urination start and end, the time recording unit 24 records the respective times as the urination start time and urination end time. The time recording unit 24 transmits information regarding the recorded times to the urine information processing device 10.

[0034] The time recording unit 24 will be described in detail with reference to Fig. 4. Fig. 4 is a diagram showing times related to the user's urination. The time recording unit 24 records the time T1 when the posture detection unit 22 detects the user's posture for urination as the time when urination preparation is completed. The time recording unit 24 also records the time T2 when the urine detection unit 23 detects the start of the user's urination as the urination start time. Furthermore, the time recording unit 24 records the time T3 when the urine detection unit 23 detects the end of the user's urination as the urination end time.

[0035] As shown in Fig. 4, the time from time T1 to time T2 is the urination time Te1. Also, as shown in Fig. 4, the time from time T2 to time T3 is the urination duration Te2. The time recording unit 24 may calculate the urination time Te1 and the urination duration Te2 from the recorded time, and transmit the urination time Te1 and the urination duration Te2 to the urine information processing device 10. Note that the urine information processing device 10 may perform a process of calculating the urination time Te1 and the urination duration Te2 from the recorded time.

[0036] <Assessing signs of urinary dysfunction based on duration of urination> Next, the urine information processing device 10 will be described in detail. As described above, the determination unit 11 determines whether or not the user has a symptom of urinary disorder based on the urination time indicating the time from when the user's urination preparation is completed to when the user's urination starts. The determination unit 11 may further determine whether or not the user has a symptom of urinary disorder based on the urination duration indicating the time from when the user's urination starts to when the user's urination ends. For example, when the average urination duration in one day is longer than a predetermined time, the determination unit 11 determines that the user has a symptom of urinary disorder. The predetermined time is, for example, the average urination duration recorded in advance.

[0037] A more specific description will be given with reference to Table 2. Table 2 shows time information and duration related to the user's urination. Table 2 shows time information and duration related to the user's urination from 10:00 to 15:00. The predetermined time shown in Table 2 is the average daily urination duration of the user when healthy.

[0038] [Table 2]

[0039] As shown in Table 2, the average user's urination duration between 10:00 and 15:00 is 16 seconds. As shown in Table 2, the predetermined time is 10 seconds. In the example shown in Table 2, the determination unit 11 determines that the user has a symptom of urinary disorder because the average user's urination duration is longer than the predetermined time.

[0040] Here, an example has been described in which the determination unit 11 determines that the user has a symptom of urinary disorder because the average urination duration of the user is longer than a predetermined time. However, the present invention is not limited to this, and the determination unit 11 may determine that the user has a symptom of urinary disorder because the average urination duration of the user is shorter than the predetermined time. That is, the determination unit 11 determines that the user has a symptom of urinary disorder when the average urination duration of the user is different from the predetermined time by a predetermined time.

[0041] In the example shown in Table 2, the determination unit 11 determines the user's sign of urinary disorder by comparing the average urination duration of the user in a day with the predetermined time. However, this is not limited to this, and the determination unit 11 may determine the user's sign of urinary disorder by comparing the urination duration when the user uses a toilet with the predetermined time. The same applies to the urination times shown in Table 1.

[0042] For example, in the example shown in Table 2, the user's urination duration when the urination start time is 10:00 is 15 seconds, which is longer than the predetermined time of 10 seconds, so the determination unit 11 determines that the user has a symptom of urinary disorder. In the example shown in Table 2, the determination unit 11 makes a similar determination when the urination start time is 12:00 and 14:00, and determines that the user has a symptom of urinary disorder three times. The generation unit 12 may generate information for warning the user when the number of such determinations is equal to or greater than the predetermined number.

[0043] Generally, only the user can tell if there is a residual urine sensation or a weak urine flow, so the user needs to be aware of whether or not there is a symptom of a urinary disorder. However, since the user does not record information about urination when healthy, the user is not sure whether or not there is a symptom of a urinary disorder and goes to a doctor for a diagnosis. Since the user records information about urination after receiving a diagnosis from a doctor, it is difficult to detect urinary disorders early. For users who require care, it is even more difficult to detect urinary disorders early.

[0044] In contrast, the urine information processing system 30 starts recording when the patient is in good health and judges whether there are any signs of urinary dysfunction. That is, the urine information processing system 30 judges whether there are any signs of urinary dysfunction by comparing the records made when the patient is in good health with the records made when there are suspected signs of urinary dysfunction. This makes it possible to detect urinary dysfunction at an early stage.

[0045] <Assessing signs of urinary dysfunction based on urination frequency> The determination unit 11 may further determine whether or not the user has a symptom of urinary disorder based on the user's urination frequency. The urination frequency refers to the number of times the user uses the toilet to urinate. When the posture detection unit 22 detects the user's posture for urination, it counts the urination frequency as one time. The posture detection unit 22 transmits the urination frequency to the urine information processing device 10. Note that the posture detection unit 22 may be configured to count the user's urination frequency as one time even if the posture detection unit 22 detects the user's posture for urination but the urine detection unit 23 does not detect the start of urination, that is, even if the user goes to the toilet but does not urinate.

[0046] For example, the determination unit 11 compares the user's daily urination frequency with the user's daily urination frequency when healthy, and determines that the user has a symptom of urinary disorder if there is a difference of a predetermined number or more. In addition, the comparison target of the determination unit 11 is not limited to the user's daily urination frequency when healthy, and the statistical urination frequency of people in a healthy state may be used.

[0047] Furthermore, the determination unit 11 may compare the user's urination frequency in a predetermined time period with the user's urination frequency in a predetermined time period when healthy, and determine that the user has a symptom of urinary disorder if there is a difference of a predetermined number or more. Of course, the determination unit 11 may compare the user's urination frequency in a predetermined time period with the statistical urination frequency of healthy people in a predetermined time period, and determine that the user has a symptom of urinary disorder if there is a difference of a predetermined number or more.

[0048] <Generation of urination information> As described above, the generating unit 12 generates information for presenting the determination result. The generating unit 12 may further generate information for presenting urination information including at least one of urination date, urination time, urination duration, and urination frequency. A more detailed description will be given with reference to FIG. 5. FIG. 5 is a diagram showing an example in which the determination result and urination information are displayed on a user's terminal device. The display unit 100 shown in FIG. 5 is capable of communicating with the urine information processing system 30, and the display unit 100 receives and displays information from the generating unit 12.

[0049] In Fig. 5, the judgment unit 11 judges that the user has a symptom of urinary disorder when the urination time is 5 seconds or more. Also, in Fig. 5, the judgment unit 11 judges that the user has a symptom of urinary disorder when the predetermined urination duration time is 8 seconds and the time difference between the urination duration time and the predetermined urination duration time is 4 seconds or more.

[0050] 5, the generating unit 12 generates information for presenting the determination result and urination information, and the display unit 100 displays the information. More specifically, the display unit 100 displays the urination date, the time when preparation for urination was completed, the urination start time, the urination end time, the urination time, the urination duration, and the number of urinations. The display unit 100 also displays the user name identified by the user identifying unit 21.

[0051] Furthermore, the display unit 100 displays the judgment result of the judgment unit 11 as a message M1. In the example shown in Fig. 5, since the user is judged to have a symptom of urinary disorder, the message M1 indicates that the user has a symptom of urinary disorder and urges the user to consult a doctor.

[0052] In this way, the generating unit 12 generates information for presenting urination information in addition to the judgment result. This allows a user without specialized knowledge to not only determine whether or not there is a symptom of urination disorder, but also to grasp his / her own urination state in detail, and therefore, to easily understand what causes the symptom of urination disorder.

[0053] Since urinary disorders are often only noticeable to the user, such as a feeling of residual urine or a weak urine flow, it is difficult for a third party other than the user to notice the user's signs of urinary disorders. However, in the urine information processing system 30 according to the present disclosure, a third party other than the user can also see the determination result and urination information displayed on the display unit 100. This allows a third party other than the user to grasp the signs of the user's urinary disorders. For example, in a care facility, a caregiver can grasp the signs of urinary disorders of the care recipient (user) and the urination status of the care recipient (user).

[0054] Furthermore, the doctor in charge of the user can also make a diagnosis while referring to the judgment result and urination information displayed on the display unit 100, thereby improving the accuracy of the diagnosis.

[0055] <highlight> In addition, when the determination unit 11 determines that the user has a symptom of urinary disorder, the generation unit 12 may generate information for presenting the urination information determined to have a symptom of urinary disorder to the user in an easy-to-understand manner, for example, in an easy-to-visual manner. In the example shown in Fig. 5, the urination time on February 16 was 7 seconds, which is longer than the predetermined time of 5 seconds, and therefore the urination time of 7 seconds is highlighted by the frame E1.

[0056] Similarly, the urination duration of 3 seconds at 16:00 on February 16th when urination preparation was completed is 3 seconds, and the difference in time between the urination duration and the predetermined time is 4 seconds or more, so the urination duration of 3 seconds is highlighted by frame E2. The same is true for frame E3 at 19:00 on February 17th when urination preparation was completed. Note that the urination information determined to include a symptom of urinary disorder generated by the generation unit 12 is not limited to that which is easily visible by frames E1 to E3, and may be that which is easily visible by color.

[0057] In this way, the generating unit 12 generates information for presenting the urination information determined to include a symptom of urinary disorder to the user in an easy-to-understand manner, thereby enabling a user without specialized knowledge to more easily understand what causes the symptom of urinary disorder.

[0058] <Urine foam, urine color, urine volume> Furthermore, the urination information may include at least one of urine foam, urine color, and urine volume. The urine detection unit 23 continuously captures the water surface of the toilet, and thus can obtain information on urine foam, urine color, and urine volume. The urine detection unit 23 transmits the information to the urine information processing device 10. The generation unit 12 generates information for presenting urination information including at least one of urination date, urination time, urination duration, urination frequency, urine foam, urine color, urine flow rate, and urine volume. The urine color includes urine turbidity. The urine flow rate is calculated by dividing the urine volume by the urination duration.

[0059] A display example of urination information will be specifically described with reference to Fig. 6. Fig. 6 is a diagram showing an example in which the determination result and urination information are displayed on a user's terminal device. The display unit 200 shown in Fig. 6 can communicate with the urine information processing system 30, and the display unit 200 receives and displays information from the generation unit 12.

[0060] In the example shown in Fig. 6, the generation unit 12 generates information for presenting the determination result and urination information, and the display unit 200 displays the information. More specifically, the display unit 200 displays the urination date, urination time, urination duration, and urination frequency. In the example shown in Fig. 6, the urination time and urination duration indicate the average time per day. In addition, the display unit 200 displays the user name identified by the user identification unit 21.

[0061] The display of the urination time and urination duration shown in Fig. 6 is the same as that in Fig. 5, so the description will be omitted. Here, the urination frequency and other displays shown in Fig. 6 will be described. In Fig. 6, the determination unit 11 determines that the user has a symptom of urinary disorder when the urination frequency is 6 times or more.

[0062] First, the display of urination frequency will be described. Fig. 6 shows the user's daily urination frequency. For example, as shown in Fig. 6, the user's urination frequency on February 15 is 4 times. From this, the determination unit 11 determines that the user has no symptoms of urinary disorders based on the urination frequency on February 15.

[0063] 6, the user's urination frequency on February 17th is 8 times. Therefore, the determination unit 11 determines that the user has a symptom of urinary disorder based on the urination frequency on February 17th. Therefore, the display unit 200 highlights the urination frequency of 8 times with a frame E4. The display unit 200 also highlights the urination frequency of 9 times on February 18th with a frame E5.

[0064] In the example shown in FIG. 6, the generating unit 12 generates information for presenting the urination frequency of the user in one day, and the display unit 200 displays the information, but the present invention is not limited to this. For example, the generating unit 12 may generate information for presenting the urination frequency for each predetermined time period of the day, and the display unit 200 may display the information. For example, the generating unit 12 generates information for presenting the urination frequency of 3 times in the morning and 4 times in the afternoon. In this way, the generating unit 12 can generate and display information for presenting the urination frequency of the user for each predetermined time period of the day, so that the user can grasp the tendency of the urination frequency.

[0065] Needless to say, the generating unit 12 may generate information for presenting not only the urination frequency for each predetermined time period of the day, but also the urination information for each predetermined time period of the day.

[0066] Next, the other displays will be described. As shown in Fig. 6, the other column displays information on either urine foam, urine color, or urine volume, or a combination of these. For example, as shown in Fig. 6, the display unit 200 displays "cloudy urine" in the other column for February 17th. As shown in Fig. 6, the display unit 200 displays "a lot of urine foam" in the other column for February 18th. As shown in Fig. 6, the display unit 200 displays a urine volume of 15 ml in the other column for February 20th.

[0067] Regarding urine foam, the determination unit 11 determines whether the amount of urine foam is large or small relative to a preset reference value. The preset reference value can be set arbitrarily, for example, the amount of urine foam when the user is healthy. Then, the generation unit 12 generates information for presenting the determination result. This allows the display unit 200 to display whether the amount of urine foam is large or small. The same applies to the amount of urine shown in FIG. 6.

[0068] Furthermore, the generating unit 12 may generate information for presenting the possibility of diabetes in accordance with the judgment result when there is a lot of urine foam. Generally, when there is a lot of urine foam, there is a possibility of diabetes, so in the example shown in Fig. 6, the message M11 indicates the possibility of diabetes. This allows a user without specialized knowledge to understand not only whether or not there is a symptom of urinary disorder, but also the possibility of diabetes.

[0069] In FIG. 6, diabetes is used as an example, but this is not limited thereto, and the generation unit 12 may generate information for presenting a disease name linked to information on urine foam, urine color, urine volume, or a combination of these.

[0070] In this case, the urine information processing system has, for example, the following configuration. The urine information processing system 30 is configured to be able to communicate with a memory unit, which stores disease names linked to information on urine foam, urine color, urine volume, or a combination of these. When the urine information processing system 30 (urine detection unit 23) acquires information on urine foam, urine color, and urine volume, it acquires the corresponding disease name from the memory unit based on that information. The urine detection unit 23 transmits that information to the urine information processing device 10. Then, the urine information processing system (generation unit 12) generates information for presenting the disease name.

[0071] In this way, the urine information processing system 30 generates information for presenting urination information including urine foam, urine color, and urine volume. This allows a user without specialized knowledge to not only determine whether or not there is a symptom of urination disorder, but also to grasp his / her own urination state in detail, and therefore to easily understand what is causing the symptom of urination disorder.

[0072] Typically, the urine information processing system 30 is configured such that the urine information processing device 10 includes a determination unit 11 and a generation unit 12, and the information processing device 20 includes a user identification unit 21, a posture detection unit 22, a urine detection unit 23, and a time recording unit 24. However, this is not limited to the above, and each functional block of the urine information processing system 30 (the determination unit 11, the generation unit 12, the user identification unit 21, the posture detection unit 22, the urine detection unit 23, and the time recording unit 24) may be provided in a distributed manner in each terminal device, and the processing may be executed.

[0073] <Urine information processing method> Next, a urine information processing method according to the present disclosure will be described. Fig. 7 is a flowchart showing the urine information processing according to the present disclosure. Each step is performed by the urine information processing device 10 or the information processing device 20 shown in Fig. 3.

[0074] First, the information processing device 20 identifies a user (step ST11). If the user can be limited to one person, the information processing device 20 does not need to execute step ST11.

[0075] Next, the information processing device 20 detects that the user has assumed a posture for urination (step ST12). For example, the information processing device 20 detects that the user has sat on the toilet seat.

[0076] Next, when the information processing device 20 detects the user's posture for urination in step ST12, the information processing device 20 records the time as the time when preparation for urination is completed (step ST13).

[0077] Next, the information processing device 20 detects the start of urination by the user (step ST14). More specifically, the information processing device 20 continuously captures an image of the water surface and detects a change in the water surface caused by urination. The information processing device 20 detects the timing when the water surface starts to change as the start of urination.

[0078] Next, when the information processing device 20 detects the start of urination of the user in step ST14, the information processing device 20 records the detected time as the urination start time (step ST15).

[0079] Next, the information processing device 20 detects the end of the user's urination (step ST16). More specifically, the information processing device 20 continuously captures an image of the water surface and detects a change in the water surface caused by urination. The information processing device 20 detects the end of urination when the change in the water surface ends.

[0080] Next, when the information processing device 20 detects the end of the user's urination in step ST16, the information processing device 20 records the detected time as the urination end time (step ST17).

[0081] Next, the information processing device 20 transmits information related to the time of the user's urination to the information processing device 20 (step ST18). More specifically, the time recording unit 24 in the information processing device 20 transmits information related to the time of urination to the information processing device 20.

[0082] Next, the urine information processing device 10 receives information related to the time of urination of the user from the information processing device 20 (step ST21). More specifically, the determination unit 11 in the urine information processing device 10 receives information related to the time of urination of the user from the information processing device 20.

[0083] The subsequent processes (steps ST1 and ST2) of the information processing device 20 are similar to steps ST1 and ST2 shown in FIG. 2, and therefore will not be described.

[0084] <Configuration example> FIG. 8 is a block diagram showing a configuration example of the urine information processing device and information processing device according to the present disclosure. FIG. 8 is a block diagram showing a configuration example of the urine information processing device 10 and information processing device 20 (hereinafter referred to as the urine information processing device 10, etc.) described above. Referring to FIG. 8, the urine information processing device 10, etc. includes a network interface 1201, a processor 1202, and a memory 1203. The network interface 1201 may be used to communicate with a network node. The network interface 1201 may include, for example, a network interface card (NIC) that complies with the IEEE 802.3 series. IEEE stands for Institute of Electrical and Electronics Engineers.

[0085] The processor 1202 reads out and executes software (computer programs) from the memory 1203 to perform the processing of the urine information processing device 10 and the like described using the flowcharts in the above-mentioned embodiments. The processor 1202 may be, for example, a microprocessor, an MPU, or a CPU. The processor 1202 may include multiple processors.

[0086] The memory 1203 is configured by a combination of volatile memory and non-volatile memory. The memory 1203 may include storage located away from the processor 1202. In this case, the processor 1202 may access the memory 1203 via an I / O (Input / Output) interface (not shown).

[0087] 8, the memory 1203 is used to store a group of software modules. The processor 1202 reads out and executes these software modules from the memory 1203, thereby performing the processing of the urine information processing device 10 and the like described in the above-mentioned embodiment.

[0088] As described with reference to FIG. 8, each of the processors included in the urine information processing device 10 etc. executes one or more programs including a group of instructions for causing a computer to execute the algorithm described with reference to the drawings.

[0089] In the above examples, the program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored on a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0090] While the present disclosure has been described above in accordance with the above-described embodiments, the present disclosure is not limited to the configurations of the above-described embodiments, and naturally includes various modifications, alterations, and combinations that may be made by a person skilled in the art within the scope of the claims of the present application.

[0091] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but to one or more other embodiments. As can be understood by those skilled in the art, various features or steps described with reference to any one drawing may be combined with features or steps shown in one or more other drawings to create an embodiment not explicitly shown or described, for example. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0092] A part or all of the above-described embodiments can be described as, but is not limited to, the following supplementary notes. (Appendix 1) A determination unit that determines whether or not the user has a symptom of urinary disorder based on a urination time indicating a time from when the user completes preparation for urination to when the user starts urination; A generation unit that generates information for presenting the determination result; Equipped with Urine information processing device. (Appendix 2) The determination unit further determines whether or not the user has a symptom of urinary disorder based on a urination duration indicating a time from a start time of the user's urination to a time from a finish time of the user's urination. 2. A urine information processing device according to claim 1. (Appendix 3) The determination unit further determines whether or not the user has a symptom of urinary disorder based on the user's urination frequency. 3. The urine information processing device according to claim 1 or 2. (Appendix 4) The time to start urination is determined based on the change in the toilet water level. 3. The urine information processing device according to claim 1 or 2. (Appendix 5) The determination unit determines that the user has a symptom of urinary disorder when the average urination time is longer than an average urination time recorded in advance. 3. The urine information processing device according to claim 1 or 2. (Appendix 6) The generating unit further generates information for presenting urination information including at least one of a urination time, a urination duration, and a urination frequency of the user. 4. The urine information processing device according to claim 3. (Appendix 7) The urination information further includes at least one of urine foam, urine color, and urine volume. 7. The urine information processing device according to claim 6. (Appendix 8) A urine information processing system including an information processing device and a urine information processing device, The information processing device records a urination time indicating a time from a time when the user completes preparation for urination to a time when the user starts urination, and transmits the urination time to the urine information processing device; The urine information processing device determines whether or not the user has a symptom of urinary disorder based on the received urination time, and generates information for presenting the determination result. Urinary information processing system. (Appendix 9) determining whether the user has a symptom of urination disorder based on a urination time indicating a time from when the user is ready to urinate to when the user starts urination; generating information for presenting the determination result; The processing is carried out by a computer. Method for processing urine information. (Appendix 10) determining whether the user has a symptom of urination disorder based on a urination time indicating a time from when the user is ready to urinate to when the user starts urination; generating information for presenting the determination result; Have a computer carry out the process, program.

[0093] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 7 that are dependent on Supplementary Note 1 may also be dependent on Supplementary Notes 8 to 10 in the same dependent relationship as Supplementary Notes 2 to 7. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods. [Explanation of symbols]

[0094] 10. Urine information processing device 20 Information processing device 30 Urine Information Processing System 11 Judgment section 12 Generation part 21 User Identification Unit 22 Attitude detection unit 23 Urine detection unit 24 Time Recording Section 100, 200 display section 1201 Network Interface 1202 Processor 1203 Memory E1, E2, E3, E4, E5 frames M1, M11 Messages T1, T2, T3 time Te1, Te2 hours

Claims

1. a determination unit that determines whether the user has a symptom of urinary disorder based on a urination time indicating a time from when the user completes preparation for urination to when the user starts urination; A generation unit that generates information for presenting a determination result; Equipped with Urine information processing device.

2. The determination unit further determines whether or not the user has a symptom of urinary disorder based on a urination duration indicating a time from a start time of the user's urination to a time from a finish time of the user's urination. The urine information processing device according to claim 1 .

3. The determination unit further determines whether or not the user has a symptom of urinary disorder based on the urination frequency of the user. The urine information processing device according to claim 1 or 2.

4. The time to start urination is determined based on the change in the toilet water level. The urine information processing device according to claim 1 or 2.

5. The determination unit determines that the user has a symptom of urinary disorder when the average urination time is longer than an average urination time recorded in advance. The urine information processing device according to claim 1 or 2.

6. The generating unit further generates information for presenting urination information of the user, the information including at least one of a urination date, a urination time, a urination duration, and a urination frequency. The urine information processing device according to claim 3 .

7. The urination information further includes at least one of urine foam, urine color, and urine volume. The urine information processing device according to claim 6.

8. A urine information processing system including an information processing device and a urine information processing device, The information processing device records a urination time indicating a time from a time when the user completes preparation for urination to a time when the user starts urination, and transmits the urination time to the urine information processing device; The urine information processing device determines whether or not the user has a symptom of urinary disorder based on the received urination time, and generates information for presenting a determination result. Urinary information processing system.

9. determining whether the user has a symptom of urinary disorder based on a urination time indicating a time from when the user's preparation for urination is completed to when the user starts urination; Generate information for presenting the judgment result; The processing is carried out by a computer. Method for processing urine information.

10. determining whether the user has a symptom of urinary disorder based on a urination time indicating a time from when the user's preparation for urination is completed to when the user starts urination; Generate information for presenting the judgment result; Have a computer carry out the process, program.

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