WO2020256039A1 - 予測装置、予測方法及び予測プログラム - Google Patents

予測装置、予測方法及び予測プログラム Download PDF

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Publication number
WO2020256039A1
WO2020256039A1 PCT/JP2020/023864 JP2020023864W WO2020256039A1 WO 2020256039 A1 WO2020256039 A1 WO 2020256039A1 JP 2020023864 W JP2020023864 W JP 2020023864W WO 2020256039 A1 WO2020256039 A1 WO 2020256039A1
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WIPO (PCT)
Prior art keywords
user
information
time
tide
prediction
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PCT/JP2020/023864
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English (en)
French (fr)
Japanese (ja)
Inventor
裕哉 鈴木
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ユニ・チャーム株式会社
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Application filed by ユニ・チャーム株式会社 filed Critical ユニ・チャーム株式会社
Priority to CN202080045354.1A priority Critical patent/CN114008660A/zh
Priority to JP2021526856A priority patent/JP7708663B2/ja
Publication of WO2020256039A1 publication Critical patent/WO2020256039A1/ja
Priority to JP2025076932A priority patent/JP2025111791A/ja

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to a prediction device, a prediction method, and a prediction program.
  • the conventional technology only provides physical advice based on the user's menstrual history. For this reason, it is not possible to provide advice such as preparation of absorbent articles in advance before the user reaches the first tide.
  • the present application has been made in view of the above, and aims to improve the quality of life of the user.
  • the prediction device has an acquisition unit that acquires user information indicating the physical characteristics of the user, and a prediction unit that predicts the time when the first tide of the user occurs based on the user information. It is characterized by that.
  • the quality of life of the user before the first tide can be improved.
  • FIG. 1 is a diagram showing an example of a provision system according to an embodiment.
  • FIG. 2 is a graph showing an example of the physical disparity when the first tide occurs.
  • FIG. 3 is a graph showing an example of the period from the maximum developmental age to the initial tide age.
  • FIG. 4 is a diagram showing an example of content for acquiring user information.
  • FIG. 5 is a diagram showing an example of proposed content generated by the information providing device according to the embodiment.
  • FIG. 6 is a diagram showing an example of a functional configuration of the information providing device according to the embodiment.
  • FIG. 7 is a diagram showing an example of information registered in the user database according to the embodiment.
  • FIG. 8 is a flowchart showing an example of a flow of learning processing executed by the information providing device according to the embodiment.
  • FIG. 1 is a diagram showing an example of a provision system according to an embodiment.
  • FIG. 2 is a graph showing an example of the physical disparity when the first tide occurs.
  • FIG. 3 is a graph showing an
  • FIG. 9 is a flowchart showing an example of the flow of the prediction process executed by the information providing device according to the embodiment.
  • FIG. 10 is a diagram showing an example of the time when each state group occurs.
  • FIG. 11 is a diagram showing a transition example of the content according to the modified example.
  • FIG. 12 is a diagram showing an example of a web page according to a modified example.
  • FIG. 13 is a diagram showing an example of a hardware configuration.
  • a prediction device characterized by having an acquisition unit that acquires user information indicating the physical characteristics of the user and a prediction unit that predicts the time when the first tide of the user will occur based on the user information.
  • Such a prediction device predicts the time when the user's first tide occurs based on the physical characteristics of the user. As a result of such processing, the prediction device prompts the user to prepare various absorbent articles before the initial tide occurs, or notifies the user that the initial tide will occur, so that the initial tide occurs. It is possible to reduce the psychological burden on the user and improve the quality of life of the user.
  • the prediction device acquires information indicating the body shape of the user as user information. For example, the prediction device acquires information indicating the height and weight of the user. Then, the prediction device predicts the time when the first tide occurs based on the change in height and weight. For example, the prediction device identifies changes in the physical characteristics of the user based on the user information, and predicts the time when the first tide of the user occurs based on the time when the specified change satisfies a predetermined condition. To do.
  • the prediction device specifies the time when the amount of change in the physical characteristics of the user is maximum, and sets the time when a predetermined period elapses from the specified time as the time when the first tide of the user occurs.
  • the prediction device acquires user information indicating the height of the user, and sets the time when a predetermined period elapses from the time when the amount of change in the height of the user is maximum as the time when the first tide of the user occurs.
  • the prediction device acquires user information indicating the weight of the user, and the time when a predetermined period elapses from the time when the amount of change in the weight of the user becomes maximum is the time when the first tide of the user occurs. To do.
  • the prediction device acquires information indicating the height and weight of the user as user information, and the time when the first tide of the user occurs based on a predetermined index calculated from the height and weight of the user. May be predicted.
  • the prediction device can be used to estimate the height and weight of the user after the maximum change in the height of the user and the maximum change in the weight of the user.
  • the time when a predetermined period elapses from the time when the weight satisfies the predetermined condition may be the time when the first tide of the user occurs.
  • the prediction device estimates the characteristics related to the growth of the user based on the height and weight, and the period corresponding to the characteristics related to the growth of the user elapses from the time when the amount of change in the height of the user is maximum.
  • the time when the user's first tide may occur may be set.
  • the prediction device may further acquire information on the psychological change of the user as the user information, and predict the time when the first tide of the user occurs based on the information on the psychological change of the user.
  • the prediction device acquires information on the user's positive psychological changes from the information on the user's psychological changes, and based on the information on the user's positive psychological changes, the user's You may predict when the first tide will occur.
  • the prediction device acquires information on the user's negative psychological changes from the information on the user's psychological changes, and based on the information on the user's negative psychological changes, the user's You may predict when the first tide will occur.
  • the prediction device can appropriately predict when the first tide of the user will occur.
  • the reason why the time when the user's first tide occurs can be predicted based on the user's body shape such as height and weight will be clarified in the explanation described later.
  • the prediction device acquires user information indicating the physical characteristics of the user measured at the same time of each year. As a result of such processing, the prediction device can appropriately predict the first tide time of the user.
  • the prediction device acquires information on the user's secretions such as vaginal discharge. As a result of such processing, the prediction device can appropriately predict the first tide time of the user.
  • the prediction device acquires user information of the target user who is the target of prediction when the first tide occurs, and learns the relationship between the user information of the user and the time of the first tide of the user. Is used to predict the time when the first tide of the target user will occur from the user information of the target user. As a result of such processing, the prediction device can appropriately predict the first tide time of the target user.
  • the prediction device has a providing unit that provides information according to the prediction result. Then, the prediction device provides information on the absorbent article according to the prediction result.
  • the prediction device may distribute contents corresponding to the physical characteristics of the user according to the prediction result. For example, the prediction device may provide content for managing the initial tide and physiology when the prediction result indicates that the initial tide has begun. Further, the prediction device may provide content for predicting the time when the first tide occurs when the prediction result indicates that the first tide has not started. As a result, the prediction device can encourage the user to prepare the first tide period and the absorbent article, and reduce the psychological burden on the user.
  • the prediction device has an estimation unit that estimates the mode of the user's secondary sexual characteristics based on the user information, and provides information on the estimated mode of the secondary sexual characteristics.
  • the predictor may also provide information about the absorbent article according to the aspect of the secondary sexual characteristics. Therefore, the prediction device can reduce the psychological burden on the user as a result of providing the user with information indicating various changes related to the secondary sexual characteristics such as the initial tide and hair growth.
  • the prediction device predicts the time when the user's first tide occurs based on the mode of the secondary sexual characteristics estimated by the estimation unit. As a result of such processing, the prediction device can further improve the prediction accuracy of the first tide time.
  • the prediction device has an estimation unit that estimates the cognitive ability of the user based on the user information. Then, the predictor predicts the time when the user's first tide occurs based on the estimated cognitive ability. As a result of such processing, the prediction device can further improve the prediction accuracy of the first tide time.
  • the prediction device provides information on absorbent articles according to cognitive ability.
  • the predictor provides information on how to use the absorbent article according to cognitive abilities.
  • the predictor provides information on how to use an absorbent article in which the amount of information on how to use the absorbent article is less than a predetermined threshold when cognitive ability is greater than or equal to a predetermined threshold. You may.
  • the predictor may provide information on how to use an absorbent article in which the amount of information on how to use the absorbent article is greater than or equal to a predetermined threshold when the cognitive ability is less than a predetermined threshold. In this way, since the prediction device provides information on the absorbent article according to the cognitive ability, it is possible to provide the user with information on the appropriate absorbent article.
  • FIG. 1 is a diagram showing an example of a provision system according to an embodiment.
  • the providing system includes an information providing device 10 which is an example of a prediction device, and a terminal device 100 used by the user U.
  • the providing system may have an arbitrary number of information providing devices 10 and terminal devices 100. Further, the information providing device 10 may execute a process described later with an arbitrary number of terminal devices 100.
  • the information providing device 10 is an information processing device that performs prediction processing, and is realized by, for example, a server device or a cloud system.
  • the information providing device 10 includes various mobile communication systems such as LTE (Long Term Evolution), 4G (Generation) including LTE-Advanced, and 5G which will be standardized in the future, Wifi (registered trademark) or wireless.
  • Communication is performed with the terminal device 100 via various wireless communication networks such as LAN (Local Area Network) or network N (for example, see FIG. 6) such as various wired communication networks.
  • the terminal device 100 is a terminal device used by the user U, is realized by a smart device such as a PC (Personal Computer), a server device, a smart television, a smartphone or a tablet, and is an information providing device via a network N. It is a terminal device capable of communicating with 10. Further, the terminal device 100 is a screen such as a liquid crystal display and has a screen having a touch panel function, and is distributed from the information providing device 10 such as tap operation, slide operation, scroll operation, etc. from the user with a finger, a stylus, or the like. It may have a function capable of accepting various operations on the content to be performed.
  • vaginal discharge and menstrual blood secretion will occur according to the physical development.
  • vaginal discharge or menstrual blood secretion occurs, the user will deal with the secretion by using an absorbent article for women.
  • the absorbent articles for women are various sanitary products related to women's physiology, and specific examples include panty liners for vaginal discharge, napkins and tampons for menstruation.
  • the absorbent article may be an absorbent article such as a urine leak pad, a type attached to various underwear, an underwear type, or a sheet type.
  • the absorbent article may be an absorbent article such as a diaper.
  • the absorbent article an example in which the absorbent article is a napkin for absorbing menstrual blood is given, but the absorbent article here is a consumable material containing the absorbent article. You may.
  • the information providing device 10 executes the following prediction processing.
  • the information providing device 10 acquires user information indicating the physical characteristics of the user. For example, the information providing device 10 acquires information indicating the body shape of the user. Then, the information providing device 10 predicts the time when the first tide of the user occurs based on the acquired information. More specifically, the information providing device 10 identifies changes in physical characteristics and predicts when the first tide of the user will occur based on the time when the specified changes satisfy a predetermined condition.
  • the prediction principle of the time when the first tide occurs (hereinafter, may be referred to as "the first tide time”) will be explained.
  • the first tide time As a method for predicting the first tide time, it is conceivable to set the average age at which the first tide occurs as the first tide time.
  • it is known that such an initial tide period varies depending on the growth mode of the user.
  • FIG. 2 is a graph showing an example of the physical disparity when the first tide occurs.
  • FIG. 2 shows a graph showing the BMI at each age for each group having different ages at which the initial tide occurred, with the horizontal axis direction as the age and the vertical axis direction as the BMI (Body Mass Index) (Non-Patent Document 2). More quoted).
  • the BMI of the user group (early onset group) who reached menarche at a relatively early stage around 11 years old is the user group (middle) who reached menarche at an average stage around 12 o'clock.
  • the BMI of the user group (late group), which is higher than the BMI of the group) and reached the first menarche at a relatively later stage around 13 o'clock, tends to be lower than the BMI of the intermediate group. In this way, it can be seen that there is a gap in the time when the first tide is reached, depending on the physical characteristics of the user.
  • FIG. 3 is a graph showing an example of the period from the maximum developmental age to the initial tide age.
  • the horizontal axis is the relative age
  • the vertical axis is the height growth rate
  • the average height growth rate at each age is shown for each of the early-onset group, the middle-onset group, and the late-onset group.
  • the growth curve shown is shown (cited from Non-Patent Document 3).
  • the age at which the growth rate is maximum (maximum) is set at the position indicated by the dotted line as the maximum growth age, and the average initial tide age of each group is defined as the growth curve. It is shown by a line of the same aspect.
  • the first tide occurs when 0.95 years have passed from the maximum developmental age, and in the intermediate group, 1.48 years from the maximum developmental age.
  • the first tide is likely to occur at 1.98 years from the maximum developmental age.
  • the first tide period is likely to occur when a predetermined period (a period according to the physical characteristics of the user) elapses from the maximum growth age at which the growth rate of the user's height is maximized. ..
  • the information providing device 10 predicts the first tide time of the user based on the physical characteristics of the user.
  • the information providing device 10 specifies the time when the amount of change in the physical characteristics of the user is maximum, and the time when a predetermined period elapses from the specified time is the first tide of the user. Is the time when For example, the information providing device 10 acquires user information indicating the height of the user, and sets a time when a predetermined period elapses from the time when the amount of change in the height of the user is maximum (height spurt time). It is the time when the first tide occurs.
  • the information providing device 10 acquires information indicating the height and weight of the user as user information, and is based on a predetermined index (for example, BMI or the like) calculated from the height and weight of the user. , Estimate the time when the first tide of the user occurs. For example, the information providing device 10 sets the time when the period corresponding to the characteristics of the user's development (for example, BMI, etc.) elapses from the time when the amount of change in the height of the user is maximum as the first tide time. As a result of such processing, the information providing device 10 can accurately estimate the first tide time of the user.
  • a predetermined index for example, BMI or the like
  • the information providing device 10 acquires user information indicating the weight of the user, and sets a time when a predetermined period elapses from the time when the amount of change in the weight of the user becomes maximum as a time when the first tide of the user occurs. May be good. Further, in FIG. 3, the growth rate of height is used, but the present invention is not limited to this, and information on only height may be used and its derivative (that is, the amount of change) may be used.
  • the terminal device 100 provides diagnostic content as content for predicting the initial tide of the user (step S1).
  • the terminal device 100 may have an application for providing diagnostic content pre-installed and may obtain various answers from the user.
  • the information providing device 10 or a predetermined external server (not shown) may be obtained.
  • Such diagnostic content may be provided in cooperation with.
  • the terminal device 100 displays content having a title such as "when coming diagnosis” and a button on which a text such as "diagnose” is arranged. Then, when the user taps the button, the terminal device 100 provides content for inputting information indicating the physical characteristics of various users (that is, user information), and the height and height of the user Obtain various answers such as weight (step S2).
  • FIG. 4 is a diagram showing an example of content for acquiring user information.
  • the terminal device 100 displays the content C10 for accepting inputs such as the weight of the user, the growth state of the bust, and the size of the brassiere. Then, the terminal device 100 accepts input of each information from the user by a selection means such as a radio button.
  • the terminal device 100 may receive not only radio buttons but also answers in a pull-down format, and may receive various information from users via a text box.
  • the terminal device 100 may receive various information useful for predicting the initial tide of the user.
  • the terminal device 100 can be used for the user's age, body shape (height and weight), presence / absence of menstruation and presence / absence of pubic hair, information on various physical changes indicating the mode of secondary sexual characteristics, mother's initial tide age, and abdominal pain ( That is, it may accept input of information indicating physical characteristics such as the presence or absence of menstrual pain), the mode of armpit hair development, the mode of pubic hair development, and the mode of shin hair development.
  • the terminal device 100 may further receive the amount of sleep, physical disorder, amount of exercise, etc. from the user.
  • the terminal device 100 may accept an average sleep time for the most recent predetermined period (eg, one week).
  • the terminal device 100 may receive information such as whether the user is in good physical condition or not in the latest predetermined period.
  • the terminal device 100 may accept the average exercise time of the most recent predetermined period.
  • the exercise time may include the exercise time for each exercise having different intensities.
  • the terminal device 100 inputs not only information indicating the physical characteristics of the user but also information indicating the psychological characteristics of the user such as the presence or absence of a boyfriend or a favorite person and the impression of the questionnaire. May be accepted. Further, the terminal device 100 may accept, for example, the impression of the user on the absorbent article, or the hobby and taste of the user (for example, a favorite color, a favorite pattern, etc.).
  • the terminal device 100 does not need to accept answers for all the various information described above. For example, when the user inputs only the height and the weight among various information, the terminal device 100 uses only the height and the weight without using other information, and the user's first tide time. Will be predicted.
  • the terminal device 100 When the terminal device 100 acquires the answer information from the user, the terminal device 100 transmits the acquired answer information to the information providing device 10 (step S3).
  • the information providing device 10 identifies the time when the change in physical characteristics is maximized and the growth mode (step S4). For example, the information providing device 10 specifies the height history of the user, and calculates the amount of change in height for each predetermined period (for example, one year) from the specified history. Then, the information providing device 10 sets the time when the amount of change in the height of the user is maximum as the height spurt time.
  • the information providing device 10 calculates a numerical value of BMI from the height and the weight using a predetermined formula (step S5).
  • the information providing device 10 may obtain growth information from any information as long as it is information indicating the growth status of the user (hereinafter, referred to as "growth information").
  • growth information information indicating the growth status of the user
  • the information providing device 10 provides, for example, a question to the user, "When is the time when the height is the greatest?" By accepting the input of the user's answer, the time when the amount of change in height is maximized may be specified.
  • the process of the information providing device 10 specifying the change of the physical characteristic from the user information indicating the physical characteristic of the user is the process of specifying the amount of change from various measured values such as height and weight and the amount of change. Not only the process of specifying the maximum timing, but also the process of specifying the amount of change and the amount of change input by the user are maximized by acquiring the information indicating the amount of change input by the user. It is a concept that includes a process of specifying the timing when the amount of change is maximized by acquiring the information indicating the timing.
  • the information providing device 10 predicts the time of the first tide from the height spurt time and the BMI. For example, the information providing device 10 sets the time when the period corresponding to the BMI elapses from the height spurt time as the first tide time of the user. More specifically, the information providing device 10 calculates the possibility that the first tide will occur after a predetermined period such as 3 months, 1 year, 3 years, or the like. In reality, the information providing device 10 predicts the first tide time of the user by using a model in which learning is performed using learning data having the height spurt time, the BMI, and the first tide time as features. .. The details of such a model will be described later.
  • the information providing device 10 generates content according to the predicted initial tide time as proposed content (step S7). Then, the information providing device 10 transmits the generated proposed content to the terminal device 100 (step S8).
  • FIG. 5 is a diagram showing an example of proposed content generated by the information providing device according to the embodiment.
  • the information providing device 10 shows the possibility that the first tide may occur at each time period, and generates the proposed content C20 indicating various sanitary products proposed to the user.
  • the possibility that the first tide will occur within 3 months is “30%”
  • the possibility that the first tide will occur within 6 months is “50%”
  • the possibility that the first tide will occur within 1 year is "Se content C20 containing information indicating the sex and the most likely period if the first tide is "10 percent” within 3 years.
  • the information providing device 10 emphasizes that the "probability of coming within half a year” is "50%”, and generates the proposed content C20 indicating the possibility that the first tide will occur in another period as a diagnosis result.
  • the information providing device 10 is presumed to be suitable for the user with a message such as "Let's start preparations now.
  • Produces proposed content C20 indicating various absorbent articles That is, the information providing device 10 provides information on the absorbent article when the first tide time satisfies a predetermined condition. For example, the information providing device 10 estimates the user's hip size from the height and weight, and the panty liner # 1, napkin # 2, and shorts of a size suitable for the user's physical characteristics from the estimated hip size.
  • Various sanitary products such as # 3 and the like may be selected to generate the proposed content C20 indicating the selected sanitary products.
  • the information providing device 10 predicts the user's first tide time based on the physical characteristics of the user, and provides the proposed content according to the predicted first tide time. Therefore, the information providing device 10 can urge the user U before the first tide to prepare an absorbent article or indicate that there is a first tide in the future, so that anxiety corresponding to the first tide or the first tide may occur. As a result of reducing the stress caused by not being able to respond, the quality of life of the user U can be improved.
  • FIG. 6 is a diagram showing an example of the functional configuration of the information providing device 10 according to the embodiment.
  • the information providing device 10 includes a communication unit 20, a storage unit 30, and a control unit 40.
  • the communication unit 20 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the terminal device 100.
  • the communication unit 20 is realized by a communication circuit or the like.
  • the storage unit 30 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk, and various data for executing output processing are registered. Will be done. For example, in the example shown in FIG. 6, the user database 31 and the model database 32 are registered in the storage unit 30.
  • a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory)
  • flash memory Flash Memory
  • various data for executing output processing are registered. Will be done.
  • the user database 31 and the model database 32 are registered in the storage unit 30.
  • FIG. 7 is a diagram showing an example of information registered in the user database according to the embodiment.
  • the user ID (Identifier) and the response information are registered in the user database 31 in association with each other. More specifically, in the user database 31, information having items such as response information ID, date and time, height, weight, presence / absence of vaginal discharge, hair growth information, and pain information is registered as response information.
  • response information ID information having items such as response information ID, date and time, height, weight, presence / absence of vaginal discharge, hair growth information, and pain information is registered as response information.
  • various information indicating the physical characteristics of the user may be registered in the user database 31, and various information indicating the psychological characteristics of the user may be registered. It may be registered.
  • the "user ID” is an identifier for identifying the user.
  • the “answer information ID” is information for identifying the answer information. As shown in FIG. 7, a plurality of answer information regarding the user indicated by the same user ID and registered at different dates and times are registered in the user database 31.
  • the "date and time” is information indicating the date and time when the response information was registered. Further, “height” is information indicating the height of the user at the time when the answer information is registered, and “weight” is information indicating the weight of the user at the time when the answer information is registered.
  • "presence or absence of vaginal discharge” is information indicating whether or not vaginal discharge is secreted when the response information is registered.
  • the "hair growth information” is information indicating whether or not there is hair growth such as pubic hair and armpit hair at the time when the response information is registered.
  • the "pain information” is information indicating whether or not there is menstrual pain or the like at the time when the response information is registered.
  • the user database 31 has the user ID "UID # 1", the response information ID “ID # 1-1”, the date and time “2019/01/01", the height "140", and the weight " Information such as "46”, “presence or absence of vaginal discharge”, hair growth information “with hair growth”, and pain information "with pain” is registered. Such information is registered as one of the answer information about the user indicated by the user ID "UID # 1", and the answer information indicated by the answer information ID "ID # 1-1" is registered. It indicates that the information indicates the physical characteristics of the user at the date and time "2019/01/01".
  • the height of the user indicated by the user ID “UID # 1" is “140" centimeters, the weight is “46” kilograms, vaginal discharge is secreted, and armpit hair and pubic hair are generated. Indicates that there is hair and there is menstrual cramps.
  • model data used for predicting the first tide time of the user is registered. For example, when information indicating the physical characteristics of the target user to be predicted for the first tide time is input to the model database 32, learning is performed so as to output information indicating the first tide time of the target user.
  • the model is registered. Assuming that various parameters constituting the model are registered in the model database 32, the illustration will be omitted.
  • the control unit 40 is, for example, an arithmetic processing device for executing various processes, and is, for example, a predetermined storage device (for example, a storage unit 30) by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by executing various programs (corresponding to an example of a prediction program) stored in the RAM with the RAM as a work area. Further, the control unit 80 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • control unit 40 has a learning unit 41, an acquisition unit 42, a specific unit 43, a prediction unit 44, and a providing unit 45.
  • the learning unit 41 executes the learning process described below, and the acquisition unit 42, the specific unit 43, the prediction unit 44, and the providing unit 45 execute the prediction process described below.
  • the learning unit 41 learns a model that learns the relationship between the user information indicating the physical characteristics of various users and the time of the first tide of the user.
  • the learning unit 41 learns a model that learns the relationship between the user information indicating the physical characteristics of various users and the time of the first tide of the user.
  • FIG. 8 is a flowchart showing an example of the flow of the learning process executed by the information providing device according to the embodiment.
  • the learning unit 41 acquires information indicating the physical characteristics of the user who has experienced menarche at each period (step S101). Subsequently, the learning unit 41 modifies the parameters of the model so as to output the possibility that the first tide will occur when a predetermined period elapses when the physical characteristics are input (step S102). That is, the learning unit 41 causes the model to learn the characteristics having the relationship between the physical characteristics and the first tide period. Then, the learning unit 41 registers the model in the model database 32 (step S103), and ends the process.
  • the information providing device 10 may adopt SVM (Support Vector Machine) or DNN (Deep Neural Network) as a model.
  • the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network).
  • the RNN may be an LSTM (Long short-term memory) or the like.
  • the model may be realized by combining a plurality of models such as a model in which a CNN and an RNN are combined.
  • the learning unit 41 provides various information as answer information such as the age at which the menarche occurred, the height and weight of the user, and the information indicating the mode of various secondary sexual characteristics as the information of the user who has experienced the menarche. get. Then, the learning unit 41 learns the model so as to output information indicating the age at which the first tide occurred when the same type of information as the answer information is input to the model. For learning such a model, various arbitrary learning methods such as backpropagation can be adopted.
  • the learning unit 41 may specify the height spurt time of the user from the history of height and weight, and adopt the height spurt time as one of the inputs. Further, the learning unit 41 may adopt the user's BMI history as one of the inputs. In addition to these, the learning unit 41 may adopt a numerical value indicating the physical characteristics of the user estimated from the height, weight, etc. of the user as one of the inputs. Further, the learning unit 41 may estimate the size of the user's pelvis from, for example, the size of the waist circumference, the hip size, and the like, and use the estimated pelvis size as one of the features.
  • the learning unit 41 may learn the model so as to output a numerical value indicating the first tide time (for example, a value such as "3 months later"), and the first tide may occur when a predetermined period elapses. You may train a model that shows sex. For example, the learning unit 41 specifies as learning data the modes of height, weight, BMI, and secondary sexual characteristics 3 months, 6 months, 1 year, and 3 years before the first tide occurs.
  • the learning unit 41 calculates the possibility that the first tide will occur 3 months later, and inputs the learning data of 6 months before the first tide occurs.
  • the possibility that the first tide will occur half a year later is calculated most, and if the learning data one year before the first tide occurs, the possibility that the first tide will occur one year later is calculated most, and the first tide will occur.
  • the model may be trained so as to calculate the highest possibility that the first tide will occur after 3 years.
  • FIG. 9 is a flowchart showing an example of the flow of the prediction process executed by the information providing device 10 according to the embodiment.
  • the acquisition unit 42 determines whether or not the processing timing is predetermined (step S201). For example, when the acquisition unit 42 receives the response information from the terminal device 100, the acquisition unit 42 determines that it is the processing timing. Then, if the processing timing is not the predetermined processing timing of the acquisition unit 42 (step S201: No), the process waits until the predetermined processing timing. Then, when the processing timing is predetermined (step S201: Yes), the acquisition unit 42 acquires the history of the response information of the user corresponding to the response information from the user database 31 (step S202).
  • the acquisition unit 42 sets the user corresponding to the response information as the target user to be predicted at the first tide time, and acquires the user information indicating the physical characteristics of the target user from the user database 31.
  • the acquisition unit 42 acquires information indicating height and weight as information indicating the body shape of the target user.
  • the acquisition unit 42 may acquire the presence / absence of a cage, the presence / absence of menstrual pain, and the like.
  • the specific unit 43 specifies the spurt time at which the change in the physical characteristics of the target user is maximum from the user information acquired by the acquisition unit 42 (step S203). That is, the specific unit 43 identifies changes in the physical characteristics of the target user based on the user information. For example, the specific unit 43 calculates the amount of change in height for each year, and specifies the time when the calculated amount of change is maximum as the height spurt time. In addition, the specific unit 43 may specify the time when the amount of change in body weight is maximum as the body weight spurt time.
  • the specific unit 43 identifies the BMI of the target user from the height and weight of the user acquired at the same time (step S204).
  • the specific unit 43 may specify the average value of the BMI of each period, or may specify the BMI of the height spurt period or the weight spurt period.
  • the prediction unit 44 predicts the time of the first tide from the spurt time and BMI (step S205). That is, the prediction unit 44 predicts the time when the first tide of the user occurs based on the user information of the target user.
  • the prediction unit 44 acquires the height spurt period and the weight spurt period specified by the specific unit 43 as a period when the change in the physical characteristics of the user satisfies a predetermined condition. Then, the prediction unit 44 predicts the time when a predetermined period has elapsed from the height spurt time or the weight spurt time as the first tide time of the user. For example, the prediction unit 44 sets the period corresponding to the BMI value as the initial tide period after the height spurt period or the weight spurt period.
  • the prediction unit 44 predicts the first tide time using the model learned by the learning unit 41.
  • the learning unit 41 learns the model so as to output the possibility that the first tide will occur when each period elapses when the height spurt period and the BMI value are input.
  • the prediction unit 44 predicts the first tide time by inputting the height spurt time and the BMI value of the target user into the model.
  • the prediction unit 44 may predict the first tide time on a rule basis, or may use various equations to predict the first tide time. For example, the prediction unit 44 sets the date and time when the period calculated according to the user's BMI elapses from the height spurt period of the user as the first tide period, and determines from the difference between the current user's age and the first tide period. The period from the time of prediction to the time of the first tide of the user may be calculated.
  • the providing unit 45 generates the providing information according to the prediction result by the prediction unit 44 (step S206). For example, the providing unit 45 generates providing information indicating the possibility that the first tide will occur within each period. In addition, the providing unit 45 may generate providing information indicating information on the absorbent article when the period until the first tide time, which is most likely, is shorter than a predetermined threshold value. Then, the providing unit 45 provides the generated provided information to the terminal device 100 of the target user (step S207), and ends the process.
  • the initial tide time of the user is closely related to the aspect of the user's secondary sexual characteristics.
  • the vaginal discharge that occurs as a precursor of the first tide is considered to be highly related to the mode of the user's secondary sexual characteristics.
  • the first tide is thought to occur after such vaginal discharge is secreted. Therefore, the information providing device 10 may predict the time when the user's first tide occurs based on the mode of the user's secondary sexual characteristics.
  • FIG. 10 is a diagram showing an example of the time when each state group occurs.
  • the increase / decrease in the number of users classified into each group in the above-mentioned Tanner classification for breast growth and pubic hair development was shown for each age.
  • the stage of breast development is the first stage (B1) in which only the nipple protrudes, only the nipple protrudes, and the breast becomes small.
  • Stage 2 (B2) which forms and increases coloration, the areola and breast parenchyma are more prominent, but there is no step between the areola and the other part (B3), the areola is the nipple It is classified into the 4th stage (B4), which protrudes in a disc shape above the parenchyma, and the 5th stage (B5), which forms a rounded hemispherical breast.
  • the stage of pubic hair development is the first stage without hair growth (PH1), and the second stage in which straight or slightly curly hair such as long, slightly colored fluff occurs sparsely along the labia.
  • Stage (PH2) darker, rough and curly hair sparsely develops above the vagina (PH3), approaching adult hair growth but with a smaller hair growth area (PH4) , It is classified into the 5th stage (PH5) with adult type hair growth.
  • the number of users classified into the B2 group increases from around 7 o'clock, and the number of users classified into the B3 group increases from around 8 o'clock.
  • the number of users will increase, and the number of users classified into the PH2 group will increase from around 9 years old.
  • the number of users classified into the B4 group and the PH3 group increased from around 10 o'clock, and the user's age changed to the B5 group and the PH4 group from around 12 o'clock.
  • the number of classified users increases, and when the age of the users is around 14 years old, the number of users classified into the PH5 group increases.
  • the physical changes related to the secondary sexual characteristics of the user appear with a certain degree of order, although they vary depending on the user.
  • the mode of the user's secondary sexual characteristics is that of the user. It can be said that it is significant information for predicting the time of the first tide.
  • the information providing device 10 predicts the initial tide time of the user based on the mode of the user's secondary sexual characteristics. For example, the information providing device 10 acquires information indicating the state of the user regarding breast growth and pubic hair development, classifies the user into each group in the Tanner classification based on the acquired information, and based on the classification result, You may predict the time of the first tide of the user. In addition, the information providing device 10 may also acquire the presence or absence of a cage as one of the modes of the secondary sexual characteristics, and estimate the initial tide time of the user based on the presence or absence of the cage.
  • the information providing device 10 may classify any mode as long as it classifies according to the mode of the secondary sexual characteristics.
  • the information providing device 10 may use the information (that is, the presence / absence of a cage or the presence / absence of menstrual pain) itself indicating the mode of the secondary sexual characteristics as the estimation result.
  • the information providing device 10 uses the height spurt time and BMI of the user as information (that is, features) for predicting the first tide time.
  • the embodiments are not limited to this.
  • the information providing device 10 may predict the first tide time by using the mode of the secondary sexual characteristics as one of the features.
  • the information providing device 10 makes the model learn the relationship between the aspect of the secondary sexual characteristics and the first tide time, and further uses the mode of the secondary sexual characteristics of the target user to predict the first tide time. May be good. More specifically, the information providing device 10 may predict the initial tide time by inputting the height spurt time, the weight spurt time, the presence / absence of a cage, the result of the tanner classification, etc. of the target user.
  • the information providing device 10 can use any information and any information as long as the first tide time is estimated based on the information indicating the physical characteristics of the user including the aspect of the secondary sexual characteristics. Any combination of information may be adopted.
  • the information providing device 10 may predict the first tide time only from the history of the height of the user. For example, the information providing device 10 may set a time when a predetermined predetermined date and time has elapsed from the height spurt time as the first tide time. Further, the information providing device 10 may predict the first tide time only from the history of body weight. For example, the information providing device 10 may set a time when a predetermined predetermined date and time has elapsed from the weight spurt time when the amount of weight gain is maximum as the first tide time.
  • the information providing device 10 may predict the first tide time based only on the history of the mode of the secondary sexual characteristics. For example, the information providing device 10 learns the relationship between the transition of the user's tanner classification and the initial tide time at each age as a model, and predicts the initial tide time from the transition of the target user's tanner classification. May be good.
  • the information providing device 10 may predict the first tide time by using a model with arbitrary information as a feature among the various user information described above. For example, the information providing device 10 may realize a prediction that reflects a genetic relationship by using the first tide time of the mother as a feature. In addition, the information providing device 10 may perform model learning or the like so as to more highly estimate the possibility that the date and time when a predetermined period has passed since the occurrence of the vaginal discharge will be the first tide period.
  • the information providing device 10 may estimate the first tide time by using other physical information estimated from the various user information described above. For example, in a general growth mode, it is likely that the height spurt and the weight spurt occur at the same time or at different times, and then the initial tide occurs after the bone becomes thicker. Therefore, the information providing device 10 estimates the weight of the user's bones from the user information, and after various spurts are generated, a predetermined period is set from the time when the bone weight satisfies a predetermined condition. The elapsed time may be predicted as the first tide time.
  • the information providing device 10 has an arbitrary period from the time when various spurt times and the time when the weight of the bone meets a predetermined condition (hereinafter referred to as "reference time") according to the characteristics related to the growth of the user.
  • the time when (hereinafter referred to as “predicted grace period”) has passed may be the time of the first tide.
  • the information providing device 10 may set a period corresponding to the value of BMI as a predicted grace period, and may, for example, a predetermined period calculated from height and weight as a predicted grace period.
  • the information providing device 10 may set a period according to the mode of the secondary sexual characteristics as a prediction grace period.
  • the information providing device 10 learns the relationship between such various reference periods and the predicted grace period as a model, and inputs the reference period of the target user to enter the period until the first tide period (that is, that is). , The prediction grace period of the target user) may be predicted. By executing such a process, the information providing device 10 can more accurately estimate the first tide time of the user.
  • the information providing device 10 may adopt information according to changes in height and weight as features other than various spurt periods.
  • the information providing device 10 may use, for example, the timing when the height starts to grow (for example, the timing when the slope starts to become positive in the graph showing the height growth) as a feature other than the height spurt time. ..
  • the information providing device 10 may use the timing at which the body weight, the weight of the bone, or the like begins to increase as a feature.
  • the information providing device 10 predicts the first tide time based on the second spurt.
  • the information providing device 10 may inquire of the user's relatives when the time of the first spurt was, and may further adopt the input time as a feature. That is, the information providing device 10 may adopt arbitrary information as a feature as long as the information indicating the history of the physical characteristics of the user is the feature.
  • the information providing device 10 uses the height spurt time of the user and the BMI as information for predicting the first tide time.
  • the embodiments are not limited to this.
  • the information providing device 10 may predict the first tide time by using the psychological change of the user as the information for predicting the first tide time.
  • the information providing device 10 acquires information on the user's psychological state regarding menstruation, psychological changes, etc. as response information. For example, the information providing device 10 acquires information on whether the user is positive or negative about menstruation from the question about menstruation. For example, the information providing device 10 responds to a question about menstruation by a user when an answer such as "become an adult”, “isn't it yet", or “isn't it faster?" Determined to be positive. On the other hand, the information providing device 10 determines that the user is negative about menstruation when an answer such as "troublesome" or "painful" is obtained for the question about menstruation.
  • the information providing device 10 receives an answer indicating a negative feeling such as "what is it”, “what to do if it becomes”, or “does not want to become” to the question about menstruation. In addition, it is determined that the user is negative to the physiology. In this way, the information providing device 10 acquires the current candid feelings about the user's menstruation.
  • the input mode for the question regarding physiology may be any mode.
  • the input mode is a radio button format that selects the content that most closely matches the user's feelings, a check box format that selects multiple content that suits the user's psychological state, and a format that allows the user's answer to be input in a free form. And so on.
  • the information providing device 10 when the information providing device 10 is input in free form by the user, the input is input in free form by the user by using the conventional technique related to natural language processing such as morphological analysis and semantic analysis. Analyze the information.
  • the information providing device 10 refers to a predetermined database in which a word indicating a psychological state and a psychological change and a positive or negative meaning indicated by the word are associated and stored in advance, and input information. Calculate the frequency of occurrence of included words. Then, based on the calculation result, the information providing device 10 allows the user to adjust to the physiology when the frequency of appearance of positive words among the words indicating the psychological state and the psychological change is equal to or higher than a predetermined threshold value. Determined to be positive.
  • the predetermined database may be possessed by the information providing device 10, or may be possessed by an external server or an external cloud system.
  • the information providing device 10 uses a method of allowing the user to select an illustration or an image like a questionnaire, or a psychological test such as POMS (Profile of Mood States), so that the user's psychological state with respect to physiology can be determined. Information on psychological changes and the like may be acquired.
  • POMS Profile of Mood States
  • the information providing device 10 may estimate information on the user's psychological state with respect to menstruation, psychological changes, etc. from the information detected by various sensors. For example, the information providing device 10 may estimate the psychological state from the heart sounds of the user when the terminal device 100 or the wearable device used by the user has various sensors. For example, the information providing device 10 determines whether the user is excited or calm from the heart rate of the user when he / she browses the question regarding menstruation.
  • the information providing device 10 may change the frequency of providing the user with questions regarding menstruation according to the result of the initial menstrual prediction.
  • the information providing device 10 uses the first question about menstruation to ask the user who is expected to have the first menstrual period whether the user is positive or negative for menstruation. judge.
  • the information providing device 10 may provide a plurality of questions regarding menstruation to a user whose first menstruation is expected to come after a predetermined period (for example, several months or several years later). ..
  • the information providing device 10 determines whether the user is positive or negative about the menstruation for each question about the menstruation provided a plurality of times.
  • the information providing device 10 may periodically provide the user with information on menstruation that relieves anxiety about menstruation when the user shows a negative psychological change.
  • the information providing device 10 can track the psychological change of the user with respect to the physiology over time. As a result, the information providing device 10 can make the user grasp his / her psychological change with respect to the physiology. In addition, the information providing device 10 can eliminate the cognitive bias toward menstruation to the user by providing knowledge about menstruation even before the first tide comes. In addition, the information providing device 10 acquires the user's psychological changes, thereby causing the user's menstrual pain, premenstrual syndrome (PMS), and premenstrual dyspholic disorder (PMDD). It is possible to provide information (for example, information on whether menstrual pain is abnormal or normal) that can also be controlled. Therefore, the information providing device 10 can promote the control of the anxiety of the user.
  • PMS premenstrual syndrome
  • PMDD premenstrual dyspholic disorder
  • the information providing device 10 may provide information on sanitary products to the user according to the psychological change.
  • the information providing device 10 may provide content related to sanitary napkins, including how to use the sanitary napkins, when the user shows a positive psychological change.
  • the information providing device 10 uses the height spurt time of the user and the BMI as information for predicting the first tide time.
  • the embodiments are not limited to this.
  • the information providing device 10 may estimate the cognitive ability of the user based on the user information. Then, the information providing device 10 may predict the first tide time by using the estimated cognitive ability as the information for predicting the first tide time.
  • the information providing device 10 may estimate the cognitive ability indicating the developmental state of the user's brain based on the user information input by the user. Then, the information providing device 10 may predict the first tide time by using the estimated cognitive ability. For example, the information providing device 10 may make the model learn the relationship between the estimated cognitive ability and the first tide time, and predict the first tide time by using the cognitive ability of the target user. In this way, the information providing device 10 can estimate the developmental state of the user's cognitive ability and comprehension level according to the case where the cognitive ability changes depending on how the psychological balance is lost during adolescence. As a result, the information providing device 10 can accurately predict the first tide time of the user.
  • the information providing device 10 may provide the user with information on the sanitary product including a method of proposing the sanitary product and a method of using the sanitary product, according to the estimated estimation result.
  • the information providing device 10 may provide the content CU1 in which the usage of the sanitary napkin is explained in detail when the estimated cognitive ability of the user is less than a predetermined threshold value.
  • the content CU 1 may include a detailed description of the sanitary product itself.
  • the information providing device 10 may provide the content CU2 that proposes a sanitary product having high operability when the estimated cognitive ability of the user is less than a predetermined threshold value.
  • the content CU2 is a content for proposing a product that is easy to wear for sanitary products and has high resistance to leakage.
  • the information providing device 10 is a content CU3 that simply explains how to use the sanitary napkin when the estimated cognitive ability of the user is equal to or higher than a predetermined threshold value, and the amount of information of the sanitary napkin itself is large.
  • Content CU3, which is lower than content CU1 may be provided.
  • the information providing device 10 may provide the content CU3 that proposes a sanitary product to be used by an adult woman when the estimated cognitive ability of the user is equal to or higher than a predetermined threshold value.
  • the content CU3 is a compact product and is a content that proposes a product having low resistance to leakage.
  • the information providing device 10 can provide information on sanitary products according to the cognitive ability of the user. For example, when cognitive ability is above a predetermined threshold, it may be annoying to explain in detail how to use sanitary napkins. Therefore, when the cognitive ability is equal to or higher than a predetermined threshold value, the information providing device 10 provides the content including a simple explanation with a reduced amount of information on how to use the sanitary napkin. In this way, the information providing device 10 can propose a sanitary product suitable for the user, so that the satisfaction level of the user can be enhanced. Therefore, the information providing device 10 can provide the user with information on appropriate sanitary products according to the cognitive development stage and the physical development stage.
  • the information providing device 10 uses the height spurt time of the user and the BMI as information for predicting the first tide time.
  • the embodiments are not limited to this.
  • the information providing device 10 may predict the first tide time by using the height of each predetermined age and the age of the user's height as information for predicting the first tide time. For example, when the user's age is 7, the information providing device 10 may predict the first tide time by using the height at 7 years old, which is the current age, and the age of 7 years old.
  • FIG. 11 is a diagram showing a transition example of the content according to the modified example.
  • the terminal device 100 will be described assuming that the application for providing the diagnostic content is pre-installed.
  • the terminal device 100 displays the content C30 entitled “user setting” in order to register the user information.
  • the content C30 proceeds to the "name", the text box IN301 that accepts the name input from the user, the "nickname”, the text box IN302 that accepts the nickname input from the user, and the next content.
  • the terminal device 100 accepts the input of the name and the input of the nickname from the user, and shifts to the content C31 when the button B301 is pressed by the user.
  • the terminal device 100 displays the content C31 entitled user setting in order to register the information related to physiology among the user information.
  • the content C31 includes a "menstrual period”, a text box IN311 that receives the menstrual period input from the user, a "menstrual cycle”, and a text box IN312 that receives the menstrual cycle input from the user. ..
  • the content C31 has a radio button IN313 having selection items such as "the first tide has not come yet", “less than 3 years from the first tide”, and “more than 3 years from the first tide” in order to select the number of years of experience in menstruation. Includes button B311 and the like to proceed to the content of.
  • the terminal device 100 accepts the input of the menstrual period, the input of the menstrual cycle, and the selection of the radio button IN313 from the user, and transitions to the content C32 when the button B311 is pressed by the user.
  • the terminal device 100 may further accept user information other than the question items included in the contents C30 and C31.
  • the terminal device 100 may transition from the content C32 to the content for inputting or selecting user information other than the above.
  • the terminal device 100 displays the content C32 explaining how to use the content that manages the physiological state.
  • the content C32 includes a pie chart GR321, an explanatory text EX321, a comment CO321, and an explanatory text EX322.
  • EX321 a content such as "Tap here to record your period!” Is described.
  • EX322 describes contents such as "advice according to the menstrual cycle! And “tap to read the continuation!.
  • comment CO321 describes the content such as "the day when the amount of menstrual blood is the highest in menstruation. If you notice it, replace the napkin !.
  • the terminal device 100 displays various contents according to the input information of the user. For example, the terminal device 100 distributes the contents according to the state of the user such as whether or not the first menstruation has started. For example, the terminal device 100 separates the contents of the menstrual day management mode if the first menstruation has started, and the contents of the first tide prediction mode if the first menstruation has not started.
  • the content corresponding to each mode includes articles and advertising contents different for each mode.
  • the terminal device 100 displays the content C33 of the physiology management mode when it receives an input from the user that the physiology of the user has started.
  • the content C33 includes "next menstruation schedule X / XX”, “XX days until the next menstruation”, a pie chart GR331 centered on today's date, and comment CO331.
  • “the next menstruation schedule 2/7”, “13 days until the next menstruation”, and comment CO331 "the amount of hormones that create Malawi increases, and motivation and concentration increase.
  • the content C33 including "Time ." is displayed. In this way, the terminal device 100 can make the user easily grasp the state of the user's own physiology. Further, since the terminal device 100 provides comments and advice according to the physiological state of the user, the user can easily notice the change in the physical condition of the user himself / herself.
  • a calendar may be attached to the bottom of the content C33.
  • information on the user's hormone balance, physical condition, etc., which is stored in association with the date indicated by the calendar, may be displayed on the content C33 according to the user's operation.
  • the terminal device 100 displays the content C34 in the initial tide prediction mode when the input is not received from the user when the user's physiology has started.
  • the content C34 includes a pie chart GR341 in which "previously predicted date 20XX / X / XX", "probability of coming within half a year 50%" is mainly displayed, and comment CO341.
  • the terminal device 100 says "Last predicted date 2020/2/10" and comment CO341 "If you register your menstrual day, advice will be displayed and you can read more! Let's register the latest menstrual day ... ⁇ ”Is included in the content C34.
  • the terminal device 100 can easily make the user recognize the predicted date of the first tide.
  • the terminal device 100 provides the user with correct knowledge about menstruation through comment CO341 from an appropriate timing (for example, before the first tide comes) so that the user can properly deal with menstruation. be able to.
  • the terminal device 100 can provide correct knowledge about menstruation to a user who is likely to have an initial tide within one year.
  • menstrual pain it is known that menstrual pain is alleviated when the user has a good view of menstruation. Therefore, the terminal device 100 can improve the quality of life of the user by making the user recognize the knowledge about menstrual pain in advance at an appropriate timing.
  • the first tide period is a period when stress is added to a large amount due to changes in life stages and changes in human relationships (for example, a rebellious period in which a desire for the opposite sex is born from an interest in the opposite sex).
  • the user may have an unstable mental state, which is contrary to the growth of the body when the first tide is reached. Therefore, the terminal device 100 can provide information at an appropriate timing according to the cognitive development stage and the physical development stage, instead of giving the user a lot of information to make a selection.
  • the example of FIG. 11 shows an example in which the terminal device 100 receives the user information input by the user, but the present invention is not limited to this.
  • the terminal device 100 may accept the user information of the user input by the parent of the user when the parent and child use the application.
  • the terminal device 100 makes it easier for the parent to manage the user's physiology, so that the parent can call attention to the user not to forget the sanitary napkin.
  • an account corresponding to each of the parent and the user may be generated.
  • FIG. 12 is a diagram showing an example of a web page according to a modified example.
  • the terminal device 100 will be described as displaying a web page for providing diagnostic content using a predetermined browser.
  • the terminal device 100 displays the content C40 entitled “First tide prediction” in order to acquire the user information.
  • the content C40 was input by the user as “height", "When will you come? You can see when your period will come! Don't rush just because you haven't come yet!
  • It includes a text box IN41 for accepting height, a "date of birth”, a text box IN42 for accepting the date of birth input by the user, and a button B41 for transmitting the input information.
  • the terminal device 100 receives the input of the height and the input of the date of birth from the user, and when the button B41 is pressed by the user, the user information input by the user is transmitted to the information providing device 10.
  • the information providing device 10 provides the terminal device 100 with the content including the initial tide prediction result predicted based on the transmitted user information.
  • the content C40 further includes advertising content.
  • the content C40 includes an advertising content IT41 displaying a content such as "If it is an application, I will follow you until your period comes !" and an advertising content IT42 displaying a content such as "Hatsucho kit is on sale!.
  • the advertising content is an advertising content related to an application, an advertising content related to a set product of sanitary products such as a first tide kit, or an advertising content related to a content introducing a recommended product based on the first tide prediction result.
  • the terminal device 100 transitions to the content that introduces the recommended product when the advertisement content related to the content that introduces the recommended product is pressed by the user.
  • the advertising content referred to here may be any type of advertising content, such as a banner advertisement.
  • the terminal device 100 may perform the above processing by using a known SNS (Social Networking Service) service. Further, the information providing device 10 may select the advertising content to be displayed in the content C40 based on the information about the referrer acquired as the user information. Further, the information providing device 10 may select the advertising content to be displayed in the content C40 based on the user information. Further, the information providing device 10 may select the advertising content specified by the user and displayed on the content C40.
  • SNS Social Networking Service
  • the information providing device 10 not only targets the target user to be predicted at the time of the first tide, but also to users who have a predetermined relationship with the target user, such as parents and teachers of the target user. Prediction results and the like may be provided.
  • the information providing device 10 acquires user information indicating the physical characteristics of the user U from the parent of the user U, and uses the first tide time of the user U estimated from the acquired user information. May be provided to the parent of person U. Further, the information providing device 10 may provide different contents depending on whether the information is provided to a parent or a child.
  • the information providing device 10 can promote communication between the parent and child.
  • the information providing device 10 provides the prediction result to the parent
  • the information providing device 10 promotes the update of the knowledge of the parent generation by providing the latest information on various product information and physiology or secondary sexual characteristics, and the target use. It is possible to reduce the gap that occurs in the consciousness of the person.
  • the information providing device 10 can also allow parents to prepare absorbent articles for their children.
  • the information providing device 10 may provide information regarding the mode of the secondary sexual characteristics. For example, the information providing device 10 further reduces anxiety of the user due to secondary sexual characteristics by providing content that explains the meaning and explanation of physical changes such as breast enlargement and pubic hair. can do.
  • the information providing device 10 may estimate the aspect of the future secondary sexual characteristics from the aspect of the secondary sexual characteristics and provide the user with information on the estimation result. For example, if it is estimated that pubic hair will occur in a predetermined period (for example, after half a year) from the aspect of the user's secondary sexual characteristics, the information providing device 10 will say, "There is hair growth in the delicate zone from now on. By providing a message such as ", the psychological burden on the user due to the secondary sexual characteristics may be reduced.
  • the information providing device 10 may predict not only the time of the first tide but also the time when the vaginal discharge is secreted for the first time. For example, the information providing device 10 predicts the time when the vaginal discharge is first secreted by using a model in which the relationship between the time when the vaginal discharge is first secreted and the user information is learned. Then, when the information providing device 10 is expected to secrete vaginal discharge other than March, a message such as "Why don't you use a panty liner because vaginal discharge may come out?" It may be provided to the user.
  • the information providing device 10 may predict the first tide time based on the amount of change in height and weight measured for each period longer than a predetermined period. For example, the information providing device 10 may predict the first tide time from the height and weight measured at a fixed date and time of each year (for example, April 20 of each year). By using such information, the information providing device 10 can predict the first tide time more accurately.
  • the height information is recorded from a lower age (or "When did the height start to grow?"
  • the information providing device 10 provides the question, and accepts the input of the answer from the user, etc.) to improve the accuracy of the prediction of the first tide and to provide the time of the first tide from a younger age. It is possible. Furthermore, it can be used to predict the development of the breast, the timing of excretion of cages, and the future height, which are the characteristics of secondary growth.
  • the information providing device 10 selects the absorbent article to be proposed to the user before the first tide based on various user information.
  • the information providing device 10 selects an absorbent article suitable for the user (that is, an absorbent article that is less likely to be displaced, twisted, or leaked) by any combination other than the various combinations described above. You may.
  • the information providing device 10 summarizes various articles for responding to the first tide, books including explanations on physiology and secondary sexual characteristics, etc. for users whose period until the first tide is less than a predetermined threshold.
  • Kits may be provided.
  • the information providing device 10 has a napkin, shorts, or other underwear, a napkin, or the like having a size suitable for the target user's body shape estimated from the user information.
  • Select target users as targets for providing kits that include pouches for storing sanitary napkins, books for sex education related to menstruation, and photographs containing messages from mothers. Then, the information providing device 10 may execute various processes for shipping the kit to the target user.
  • each component of each device shown is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure.
  • each component may be functionally or physically distributed / integrated in any unit according to various loads, usage conditions, etc., in whole or in part thereof.
  • the above-mentioned processes may be appropriately combined and executed within a consistent range.
  • the above-mentioned "section, module, unit” can be read as “means” or "circuit”.
  • the prediction unit can be read as a prediction means or a prediction circuit.
  • FIG. 13 is a diagram showing an example of a hardware configuration.
  • the computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the cache 1040, the memory 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090.
  • the arithmetic unit 1030, the cache 1040, the memory 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090.
  • the arithmetic unit 1030 operates based on a program stored in the cache 1040 or the memory 1050, a program read from the input device 1020, or the like, and executes various processes.
  • the cache 1040 is a cache that temporarily stores data used by the arithmetic unit 1030 for various operations such as RAM.
  • the memory 1050 is a storage device in which data used by the arithmetic unit 1030 for various operations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, or the like. Memory.
  • the output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer.
  • an output device 1010 that outputs various information
  • USB Universal Serial Bus
  • DVI Digital Visual Interface
  • It may be realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface).
  • the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, and a scanner, and is realized by, for example, USB.
  • the input device 1020 includes an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), and a tape medium. It may be realized by a device that reads information from a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be realized by an external storage medium such as a USB memory.
  • an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), and a tape medium. It may be realized by a device that reads information from a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be realized by an external storage medium such as a USB memory.
  • the network IF1080 has a function of receiving data from another device via the network N and sending it to the arithmetic unit 1030, and transmitting the data generated by the arithmetic unit 1030 to the other device via the network N.
  • the arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070.
  • the arithmetic unit 1030 loads a program from the input device 1020 or the memory 1050 onto the cache 1040, and executes the loaded program.
  • the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 140 by executing the program loaded on the cache 1040.
  • the terminal device 100 is equipped with a dedicated application, and the program mounted on the information providing device 10 and the application mounted on the terminal device 100 are linked to form the present embodiment. May be provided to the user.
  • the application of the terminal device 100 includes an input screen display process for inputting information indicating the physical characteristics of the user, a reception process for accepting the input, and the received information as user information to the information providing device 10.
  • the terminal device 100 is made to execute the transmission process of transmitting.
  • the program of the information providing device 10 causes the information providing device 10 to execute an acquisition process of acquiring user information from the terminal device 100 and a prediction process of predicting the first tide time of the user from the user information.
  • the terminal device 100 is equipped with a general-purpose browser and is connected to the information providing device 10 via the general-purpose browser of the terminal device 100 to provide the present embodiment to the user.
  • the information providing device 10 may realize the above-described processing by delivering a web page for receiving input of user information to the terminal device 100 and acquiring the user information via the web page. ..
  • the information providing device 10 predicts the first tide time of the user in advance from the physical characteristics of the user. As a result of such processing, the information providing device 10 can urge the user to have an initial tide in the future and prepare various absorbent articles, thereby reducing the psychological burden on the user. It can improve the quality of life of users.
  • the information providing device 10 predicts the first tide time from the user's physical change amount and BMI based on the relationship between the physical change amount, the physical characteristics such as BMI, and the first tide time. , It is possible to accurately estimate the first tide time of Lee Yusha. As a result, the information providing device 10 can provide the user with information explaining the menarche, the secondary sexual characteristics, the response to the physiology, etc. in a more appropriate manner, and thus the quality of life of the user can be improved. Can be improved.
  • the present technology can also have the following configurations.
  • An acquisition department that acquires user information that indicates the physical characteristics of the user, A prediction device characterized by having a prediction unit that predicts the time when the first tide of the user occurs based on the user information.
  • the prediction device according to (1) above wherein the acquisition unit acquires information indicating the body shape of the user as the user information.
  • the prediction unit identifies changes in the physical characteristics of the user based on the user information, and the time when the first tide of the user occurs based on the time when the specified change satisfies a predetermined condition.
  • the prediction device according to the above (1) or (2), which comprises predicting.
  • the prediction unit is characterized in that the time when the amount of change in the physical characteristics of the user is maximized is specified, and the time when a predetermined period elapses from the specified time is the time when the first tide of the user occurs.
  • the prediction device according to (3) above.
  • the acquisition unit acquires user information indicating the height of the user, and obtains the user information.
  • the prediction unit according to (4) above, wherein the prediction unit sets a time when a predetermined period elapses from the time when the amount of change in the height of the user is maximum as a time when the first tide of the user occurs. apparatus.
  • the acquisition unit acquires user information indicating the weight of the user, and obtains user information.
  • the prediction unit is characterized in that the time when a predetermined period elapses from the time when the amount of change in the weight of the user is maximized is the time when the first tide of the user occurs. ).
  • the acquisition unit acquires information indicating the height and weight of the user as the user information, and obtains information indicating the height and weight of the user.
  • the prediction unit is characterized in that it predicts the time when the first tide of the user occurs based on a predetermined index calculated from the height of the user and the weight of the user (1) to (6).
  • the prediction device according to any one of them.
  • the prediction unit After the amount of change in the height of the user is maximized and the amount of change in the weight of the user is maximized, the use estimated from the height and the weight of the user.
  • the predictor according to (7) above wherein a time when a predetermined period elapses from a time when the weight of a person's bone satisfies a predetermined condition is set as a time when the first tide of the user occurs.
  • the prediction unit estimates the characteristics related to the growth of the user based on the height and the weight, and responds to the characteristics related to the growth of the user from the time when the amount of change in the height of the user is maximized.
  • the acquisition unit further acquires information on the psychological changes of the user as the user information. Described in any one of (1) to (9) above, wherein the prediction unit predicts the time when the first tide of the user occurs based on the information on the psychological change of the user. Predictor. (11) The acquisition unit acquires information on positive psychological changes of the user among the information on the psychological changes of the user. The prediction device according to (10), wherein the prediction unit predicts the time when the first tide of the user occurs based on the information regarding the positive psychological change of the user.
  • the acquisition unit acquires information on the negative psychological change of the user among the information on the psychological change of the user.
  • the prediction device according to (10) above, wherein the prediction unit predicts the time when the first tide of the user occurs based on the information regarding the negative psychological change of the user.
  • the acquisition unit acquires user information indicating the physical characteristics of the user measured at the same time in each year. Predictor.
  • the prediction device according to any one of (1) to (13) above, wherein the acquisition unit acquires information on the secretion of the user.
  • the acquisition unit acquires user information of the target user to be predicted when the first tide occurs, and obtains the user information.
  • the prediction unit uses a model that learns the relationship between the user information of the user and the time of the initial tide of the user, and the initial tide of the target user is obtained from the user information of the target user.
  • the predictor according to any one of (1) to (14) above, which predicts the time of occurrence.
  • the prediction device includes a providing unit that provides information according to a prediction result by the prediction unit.
  • the providing unit provides information on an absorbent article according to the prediction result.
  • the prediction device according to (16), wherein the providing unit distributes contents corresponding to the physical characteristics of the user according to the prediction result.
  • the predictor according to (18), wherein the providing unit provides content for managing the initial tide and menstruation when the prediction result indicates that the initial tide has begun.
  • the providing unit provides content for predicting the time when the first tide occurs when the prediction result indicates that the first tide has not started.
  • the predictor according to (16) or (17), wherein the providing unit provides information regarding the mode of the secondary sexual characteristics estimated by the estimating unit.
  • the predictor according to (21) above, wherein the providing unit provides information on an absorbent article according to the aspect of the secondary sexual characteristics.
  • the providing unit is characterized in that when the cognitive ability is equal to or higher than a predetermined threshold value, the information amount of the usage method of the absorbent article is less than the predetermined threshold value and provides information on the usage method of the absorbent article.
  • the prediction device according to (27) above. The providing unit is characterized in that when the cognitive ability is less than a predetermined threshold value, the information amount of the usage method of the absorbent article is equal to or more than a predetermined threshold value and provides information on the usage method of the absorbent article.
  • the acquisition process to acquire user information that shows the physical characteristics of the user A prediction method including a prediction step of predicting the time when the first tide of the user occurs based on the user information. (31)

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