system

Abstract

We provide the system. [Solution] A means of providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device, A means for analyzing received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results, A means for managing a child's vaccination schedule and sending automatic reminders to the parent's control device, A means of providing a group function for parents to exchange information and seek advice from other parents, A means of recording a child's growth non-contactually using sensors and determining their developmental status, A means of providing childcare information in real time through voice and display devices, A system that includes this.

Description

Technical Field

[0005] , ,

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, as the trend towards nuclear families and the decline of local communities progresses, it has become difficult for parents to obtain information and support regarding child-rearing. This problem is particularly prominent for parents with little child-rearing experience or parents in dual-income households, raising concerns about increasing anxiety and stress related to child-rearing, which may have an adverse impact on the mental health of parents and the healthy development of children. Additionally, it is difficult for parents to accurately judge the development status and health condition of their children on their own, and they tend to miss opportunities to consult experts at appropriate times. Furthermore, as many parents feel isolated, there is also a need to build communities to address this issue.

Means for Solving the Problems

[0005] This invention includes means for providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's device. It also includes means for analyzing the received growth data, comparing it to standard developmental indicators, and notifying the parent of the results on the parent's device. Furthermore, it includes means for managing the child's vaccination schedule and sending automatic reminders to the parent's device. It also provides a community function for parents to exchange information and consult with other parents. Through these means, it is possible to alleviate the lack of information and anxiety regarding childcare, provide appropriate opportunities for consultation with experts, and reduce feelings of isolation.

[0006] A "terminal" is a device used by a user to input and receive information, and is a device that communicates with a server to send and receive data.

[0007] A "server" is an information processing unit that receives data from terminals, processes and analyzes the information, and sends the results back to the terminals.

[0008] "Childcare information" refers to childcare-related advice and precautions derived from reliable data sources, based on the child's age and developmental stage.

[0009] A "childcare information database" is a collection of information in which highly reliable childcare-related information is accumulated and stored in a searchable format.

[0010] "Growth data" refers to information related to a child's growth and development, such as height, weight, behavior, and developmental stage.

[0011] "Developmental indicators" are reference values ​​or ranges that indicate what a child's growth and development should normally be like.

[0012] A "vaccination schedule" is a plan or timeline that outlines the standard timing of vaccinations a child should receive.

[0013] A "community feature" is an online platform or function that allows parents to exchange information and seek advice from other parents.

[0014] A "reminder" is a notification sent to a user to remind them of a specific event or action. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention is a multifunctional system for supporting parents' childcare activities, and is primarily realized through the cooperation between a parent's terminal and a server. Specific embodiments are described below.

[0037] Childcare information provision function

[0038] When a user enters information about their child's age and developmental stage using their device, the device sends that information to a server. The server searches a childcare information database based on the received information and extracts appropriate childcare advice and points to note. The server then sends this information back to the user's device, allowing the user to receive appropriate childcare guidance.

[0039] Developmental check and recording function

[0040] Users can input data about their child's growth and development into the device. The device sends this data to a server, which compares it to standard developmental indicators. The server notifies the user of the analysis results and, if necessary, suggests consulting with an appropriate professional.

[0041] Health management support function

[0042] Managing the vaccination schedule begins with the user entering information into their device. The server uses this information to manage the schedule and automatically sends reminders to the user's device as each vaccination approaches. Furthermore, if a child shows signs of illness, the user enters this information into their device, and the server provides advice on initial response.

[0043] Community features

[0044] Users can access an online platform for exchanging information with other parents. When a user posts using their device, it is sent to the server and published in the relevant thread. When there are new comments or replies, the server sends notifications to the relevant users' devices to facilitate smooth communication.

[0045] To give a concrete example, if a user wants to know what toys are appropriate for a 6-month-old child, they can enter their question through their device, and the server will provide information on toys suitable for that age. In this way, parents can instantly obtain the necessary childcare information and use it to help with their daily parenting.

[0046] It is expected that the system described above will reduce the burden on parents, make child-rearing more fulfilling, and deepen the bond between parents and children.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] The user accesses the device and enters information such as the child's age, developmental stage, growth data, vaccination schedule, or other parenting information of interest.

[0050] Step 2:

[0051] The terminal converts the information entered by the user into a data format and prepares to send it to the server.

[0052] Step 3:

[0053] The terminal sends data to the server once it is ready to be transmitted. The server receives this data and begins the corresponding processing.

[0054] Step 4:

[0055] The server searches the childcare information database based on the received age and developmental stage, and extracts relevant childcare advice and points to note.

[0056] Step 5:

[0057] The server compares growth data to standard developmental indicators and generates results as needed. It also sets reminders based on vaccination schedule data and prepares for transmission at the appropriate time.

[0058] Step 6:

[0059] The server sends the processing results and generated information to the user's terminal.

[0060] Step 7:

[0061] The terminal receives information from the server, converts it into a displayable format, notifies the user, and displays the details on the screen.

[0062] Step 8:

[0063] Users will be ready to use community features through their devices to exchange information and seek advice from other parents.

[0064] Step 9:

[0065] When a user enters a post into the community, their device sends that content to the server.

[0066] Step 10:

[0067] The server supports community interaction by placing user posts in the appropriate threads and sending notifications to relevant users.

[0068] (Example 1)

[0069] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0070] In child-rearing, it is crucial for parents to quickly obtain accurate information about their child's growth and health. However, obtaining specialized child-rearing guidance and health management information tailored to individual circumstances presents challenges, requiring considerable effort and time. Furthermore, there are difficulties in obtaining information necessary to objectively assess a child's growth and development progress and take appropriate action when needed.

[0071] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0072] In this invention, the server includes means for providing appropriate childcare guidance by referring to an advanced database based on the child's age and developmental information received from the parent's information processing device; means for analyzing the received growth data, comparing it with standard developmental criteria, and transmitting the analysis results to the parent's information processing device; and means for providing childcare advice in response to questions entered by the parent using a generating AI model. This enables parents to quickly obtain expert childcare information, accurately grasp the child's growth and health status, and take appropriate action.

[0073] A "parent information processing device" is a digital device used by parents to input and receive childcare information.

[0074] "Children" refers to children whose growth and development are monitored through the use of devices.

[0075] An "advanced database" is a data management system that stores professional and reliable information related to childcare.

[0076] "Childcare guidance" refers to providing advice and points of caution related to a child's growth and development.

[0077] "Received growth data" refers to information about a child's growth that is transferred from the parent's device.

[0078] "Standard developmental criteria" are benchmark values ​​used to determine whether a child's development is on a normal line.

[0079] A "generative AI model" is a type of artificial intelligence that automatically generates appropriate advice based on the input information.

[0080] "Analysis results" refer to conclusions and judgments drawn by comparing growth data with standard criteria.

[0081] "Image recognition technology" is a computer vision technology used to identify content and meaning from photographic data.

[0082] This invention is a multifunctional information system that comprehensively supports parents' childcare activities, and is primarily realized through the cooperation of a parent's information processing device (terminal) and a server. Specific embodiments are described in detail below.

[0083] The system's foundation consists of user-owned terminals and high-performance servers. These terminals utilize the latest smart devices and personal computers. They are capable of inputting and receiving childcare information and running applications for managing children's growth and health data. The servers include a database system for processing large amounts of childcare data.

[0084] In the childcare information provision function, users use their devices to input information such as the child's age and developmental status. This data is sent from the device to the server using the HTTPS protocol. The server uses the received data to refer to a childcare information database, selects appropriate childcare guidance, and sends the information back to the user's device. In this process, an AI model is used to generate optimal childcare advice based on the input information.

[0085] For example, when a user enters the prompt "What toys are recommended for a 6-month-old baby?" into their terminal, the server processes that information and suggests toys that are best suited for a 6-month-old baby.

[0086] Furthermore, the developmental check and recording function allows users to input their child's growth data into their device, which is then sent to a server. The server compares the data to standard developmental criteria and sends the analysis results back to the device. As a result, users can receive expert advice based on specific growth parameters.

[0087] This system allows users to easily obtain solutions to various questions and concerns related to childcare. In this way, it is expected that users will be able to raise their children more efficiently and with greater peace of mind.

[0088] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0089] Step 1:

[0090] The user accesses a dedicated application on the device and enters the child's age and developmental information. This is done using an input form provided on the device's interface. The entered data is structured in JSON format and prepared for transmission to the server.

[0091] Step 2:

[0092] The terminal sends the information entered by the user to the server using the HTTPS protocol. At this stage, the data is encrypted and secure. After transmission is complete, the server receives the data.

[0093] Step 3:

[0094] The server analyzes the received data and consults an advanced childcare information database. Here, the data analysis engine searches for relevant childcare guidance based on the input child information. Using an AI model, it selects the most appropriate advice and creates a data package.

[0095] Step 4:

[0096] The server sends the created data package back to the user's terminal. This transmission involves repackaging the data in JSON format and ensuring security.

[0097] Step 5:

[0098] The user's device receives data from the server and displays it on the application. Here, the user can visually review childcare guidance. In response to the prompt "What toys are recommended for a 6-month-old baby?", a list of specific toys is displayed.

[0099] This series of steps allows users to instantly obtain reliable parenting advice.

[0100] (Application Example 1)

[0101] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0102] In modern society, parents are expected to have access to diverse information about childcare quickly and accurately, and to receive support for their children's growth and health management. However, many parents struggle with the burden of gathering individual information and making appropriate decisions regarding initial responses. Furthermore, because there are limited means of obtaining group support regarding childcare, alleviating parental isolation is also a crucial issue.

[0103] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0104] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results; and means for managing the child's vaccination schedule and sending automatic reminders to the parent's control device. This enables parents to obtain the latest and most accurate childcare information and to efficiently manage their child's growth.

[0105] A "parent's control device" is a device used by a parent to input and receive information, and includes devices such as smartphones, tablets, and home robots.

[0106] A "highly reliable information infrastructure" is an information system that collects and stores the latest and most accurate data related to childcare, and makes it accessible as needed.

[0107] "Growth data" refers to a variety of data related to a child's development, such as their age, height, weight, motor skills, and language ability.

[0108] "Standard developmental indicators" are statistical data or indicators used as criteria for the growth and development of typical children.

[0109] An "automatic reminder" is a feature that automatically sends notifications to the user when a specific appointment or event is approaching.

[0110] "Group function" refers to a function that facilitates online or offline interaction so that parents can exchange opinions and seek advice from other parents.

[0111] A "sensor" is a device used to detect the state of the environment or an object and acquire information, and includes cameras, microphones, and other similar devices.

[0112] "Sound and display devices" are devices that convey information to users visually or audibly.

[0113] "Image processing technology" is a technique that analyzes information from still images and videos acquired by cameras and other devices to make specific decisions.

[0114] This embodiment demonstrates how a system for childcare support can be used in the home. The main components of the system include a parent control device, a server, multiple sensors, and a display device.

[0115] First, the parent's control device consists of a smartphone, tablet, or home robot, and is used to input and receive information related to childcare. This device can communicate with a server and send and receive data about the child's age and development.

[0116] The server analyzes received data based on a reliable information infrastructure and provides appropriate childcare information. The server includes technology to compare standard developmental indicators with growth data and notify parents of the analysis results via their control devices. It can also automatically send vaccination schedule reminders to parents' devices. Furthermore, it manages information exchange among parents through community features.

[0117] The sensors record a child's growth non-contact and assess their developmental status. For example, they can use cameras to periodically measure a child's height and movements, and use image processing technology to track their growth.

[0118] Display devices and voice assistants are used as a means of providing parents with childcare information in real time. For example, if a parent asks, "What toys are suitable for a 6-month-old child?", the device sends a prompt to a server, which then returns relevant information.

[0119] A concrete example of a prompt message is, "Please tell me about toys and ways to play with a baby who is [age] months old." This allows parents to immediately obtain the information they need.

[0120] In this way, it is possible to reduce the burden of childcare on parents and support more efficient and effective parenting.

[0121] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0122] Step 1:

[0123] The user enters the child's age and developmental information into the parent's control device. The entered information, such as age and developmental stage, is then transmitted from the device to the server.

[0124] Step 2:

[0125] The server analyzes the received child's age and developmental information using a reliable information infrastructure. It searches the database, extracts appropriate childcare information, and uses a generative AI model based on prompt messages to find information suitable for the parents. This information includes childcare advice and suggestions for appropriate toys.

[0126] Step 3:

[0127] The server transmits the analysis results to the parent's control device. The output information includes appropriate childcare information and advice, which the user can access through a display device or voice assistant.

[0128] Step 4:

[0129] The user inputs growth data into the device. The device sends this data to a server, which then performs growth analysis by comparing this data with standard developmental indicators.

[0130] Step 5:

[0131] The server notifies the parent's control device of the comparison results. This notification indicates how close the child's growth is to the standard and suggests consulting a specialist if necessary.

[0132] Step 6:

[0133] Sensors record a child's growth non-contactually. This record includes images and videos taken by cameras, and image processing technology is used to determine the child's growth status.

[0134] Step 7:

[0135] The server manages the child's vaccination schedule, automatically sends reminders at appropriate times, and transmits them to the parent's device. This allows users to stay informed about vaccination schedules in a timely manner.

[0136] Step 8:

[0137] Users exchange information with other users using the community feature. Posts from parent control devices are managed by the server, and relevant information is distributed appropriately.

[0138] This process allows users to efficiently obtain childcare information and support their children's growth and health.

[0139] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0140] The present invention is a system for supporting parents' childcare activities, and aims to provide more personalized childcare support by combining it with an emotion engine. Specific embodiments are described below.

[0141] Embedding an emotion engine

[0142] When a user uses the service through their device, the device sends voice and text input data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. This process allows the server to tailor the provision of childcare information based on the user's emotional state.

[0143] Providing childcare information tailored to individual emotions

[0144] The server can customize the content and presentation of parenting information based on the user's emotional state received from the emotion engine. For example, if the server determines that the user is feeling anxious or stressed, it will send parenting advice that includes calming information and encouraging messages. Conversely, if the server determines that the user is calm, it can suggest more academic information or challenging tasks.

[0145] Recording and analysis of emotional data

[0146] The user's emotional state is stored in a database along with the history of each piece of childcare information provided, which is useful for long-term analysis. This continuous recording allows the server to track changes in emotions over time and evolve the support provided to match the user's childcare style and needs.

[0147] To give a specific example, if a user inputs anxiety about their child's nighttime crying, and the audio recording includes an anxious tone, the emotion engine determines that the user is experiencing stress. Based on this information, the server suggests relaxation techniques and family activities that can be done on weekends, thereby reducing the user's anxiety and supporting their emotional well-being. In this way, utilizing the emotion engine enables more detailed and personalized childcare support.

[0148] The following describes the processing flow.

[0149] Step 1:

[0150] Users access the device and input information about their children and questions about childcare in voice or text format.

[0151] Step 2:

[0152] The device converts user input into a data format and prepares it to send voice and text data to the emotion engine.

[0153] Step 3:

[0154] The emotion engine analyzes data received from the device to determine the user's emotional state. For example, it can determine whether the user is stressed or calm based on their tone of voice and word choice.

[0155] Step 4:

[0156] The server receives the emotion assessment results from the emotion engine, searches the childcare information database based on that information, and selects the advice and information that is most appropriate for the user's emotional state.

[0157] Step 5:

[0158] The server generates user-optimized content in text or audio format based on the selected childcare information. For example, it might suggest relaxation methods to stressed users and detailed childcare techniques to calm users.

[0159] Step 6:

[0160] The server sends the generated information and advice to the user's terminal.

[0161] Step 7:

[0162] The device notifies the user of the received information and displays it visually or audibly.

[0163] Step 8:

[0164] The server records user emotional data along with the provided childcare information in a database, which will be used for later analysis and continuous service improvement.

[0165] This process is repeated to provide childcare support tailored to the user's emotions and to ensure that individual needs are met.

[0166] (Example 2)

[0167] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0168] Parents face numerous challenges in child-rearing, and there is a need for appropriate and flexible information tailored to individual needs. However, many existing systems fail to consider the user's emotional state or long-term emotional data, and are limited to providing general information. As a result, parents have difficulty receiving specific support to alleviate stress and anxiety.

[0169] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0170] In this invention, the server includes means for analyzing data received from the parent's information processing device and providing childcare information, means for analyzing the parent's emotional state and providing adjusted childcare information, and means for recording and analyzing emotional data over a long period of time to improve childcare support. This enables individualized responses based on the user's emotions, making it possible to provide more personalized childcare support.

[0171] An "information processing device" is a device that allows a user to input or receive data and transmit that data to an external system; this includes computers, smartphones, and tablets.

[0172] An "information recording medium" is a medium for storing and keeping data in a searchable format, and includes databases and cloud storage.

[0173] "Analysis" is the process of thoroughly examining received data, understanding its contents, and classifying them, and is carried out using algorithms and statistical methods.

[0174] "Attention-seeking" refers to notification functions that prompt users to take specific actions, and includes reminders and notifications that are automatically sent based on a schedule.

[0175] "Group functions" refer to features that allow multiple users to share information and communicate with each other, such as forums and chat groups.

[0176] "Emotional state" refers to the user's psychological condition and includes emotional information analyzed from voice and text input.

[0177] "Adjusted parenting information" refers to parenting advice and information that is tailored to the user's emotional state and individual needs.

[0178] "Sentimental data" refers to a collection of data that includes information related to users' emotions, and is used to analyze long-term changes and trends.

[0179] This invention is an information processing system for supporting parents' childcare activities, and aims to provide personalized childcare information tailored to the individual needs of each user by incorporating an emotion analysis engine.

[0180] When a user uses this system through an information processing terminal, the terminal accepts voice and text input. This input utilizes the microphone, keyboard, and touchscreen of a smartphone or tablet. The terminal sends voice and text data to the server. This communication is conducted via the Internet Protocol and is securely encrypted.

[0181] The server passes the received data to the sentiment analysis engine, which then applies natural language processing and speech emotion recognition technologies to analyze the user's emotional state. Specific software tools used include natural language processing libraries and speech analysis tools. The program is written in Python, and libraries such as NLTK are particularly useful for data analysis.

[0182] Based on the results of the emotion analysis, the server retrieves childcare information from the database that corresponds to the parent's emotional state and sends it to the terminal. This allows the user to receive appropriate and tailored information in real time. For example, if the user enters a prompt such as, "Please tell me some ways to relax when my child cries at night," the server will suggest relaxation techniques and activities that the family can enjoy on the weekend.

[0183] Furthermore, the server records user emotional data over long periods and stores it in a database along with the history of childcare support provided. This data helps analyze trends and evolve support in response to changes in the user's childcare style and emotions. A highly accurate database management system underpins this process, utilizing database technologies such as SQL and NoSQL.

[0184] Thus, the present invention realizes personalized childcare support based on emotion analysis and comprehensively supports parents' childcare activities.

[0185] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0186] Step 1:

[0187] Users use an information processing terminal to input questions and consultations about childcare via voice or text. For example, a user might speak into their smartphone's microphone, saying, "Please tell me some ways to relax when my child cries at night." The input data is captured as digital voice data via the microphone and converted into text data by the terminal's text conversion system.

[0188] Step 2:

[0189] The device sends the acquired voice or text data to the server. Here, the input text data is encrypted and sent to the server via the internet. This process outputs the input data as request data to the server, preparing it for sentiment analysis.

[0190] Step 3:

[0191] The server analyzes the received text data and passes it to the sentiment analysis engine. The sentiment analysis engine uses a natural language processing library to determine the user's emotional state. The input data is in text format, and the analysis identifies whether the user is experiencing anxiety, joy, stress, etc. The output of this process is the user's emotional state identification result.

[0192] Step 4:

[0193] Based on the results of the emotion analysis, the server searches and selects corresponding childcare information from the database. The retrieved data is childcare information that matches the user's emotional state. For example, if the analysis result is determined to be "stress," information on relaxation techniques and suggested activities for stress reduction will be selected. This results in appropriately adjusted childcare information being output.

[0194] Step 5:

[0195] The server sends the selected childcare information to the terminal. The selected childcare information is sent to the user's terminal via the internet. In this process, the output data is visually displayed to the user through the terminal's user interface.

[0196] Step 6:

[0197] The server records emotional data exchanged between the user and the system, as well as childcare information provided, in a database. This recorded data will be used for future analysis and service improvements. Specifically, emotional states and related childcare information are stored in the database using technologies such as SQL.

[0198] (Application Example 2)

[0199] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0200] In childcare and elder care, there is a challenge in providing appropriate support information quickly and effectively, tailored to the individual emotional state of each person. In particular, there is a need to reduce the anxiety and stress experienced by those providing childcare and elder care, and to provide better support.

[0201] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0202] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's terminal; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's terminal of the results; and means for analyzing the caregiver's emotional state using an emotion engine and generating information and support messages accordingly. This enables accurate support and information provision tailored to each individual's emotional state.

[0203] A "terminal" is an electronic device used for inputting and outputting information, and can be used by parents or caregivers.

[0204] "Age" is a numerical value that indicates the time elapsed since birth, and it is a standard used to customize childcare information and developmental indicators.

[0205] "Developmental information" refers to data about the growth and health status of children and those receiving care, and is used to determine appropriate support and advice.

[0206] A "database" is a storage device that holds reliable information related to childcare and elder care, and is referenced to provide users with appropriate information.

[0207] "Growth data" refers to data about the growth process of children or those receiving care, and is used to compare with standard developmental indicators.

[0208] "Standard developmental indicators" are generally accepted criteria for growth and development, used as a point of comparison when evaluating individual circumstances.

[0209] An "immunization schedule" is a planned schedule of vaccinations designed to maintain the health of children and those receiving care, and managing this schedule is a means of supporting health.

[0210] An "automatic reminder" is a feature that sends notifications to a device to remind the user of important appointments or tasks.

[0211] The "community function" is a feature that allows users to exchange information, seek advice, and exchange opinions with other users.

[0212] An "emotion engine" is a processing device that analyzes a user's emotional state from input data and is used to provide information tailored to the user's needs.

[0213] A "caregiver" is a person who provides care for a person receiving care, and in the context of childcare support, this may refer to a parent or guardian.

[0214] "Support messages" are pieces of advice and encouragement generated according to the user's situation and emotional state, and their role is to support the user.

[0215] The system realizing this invention consists of a user terminal, a server, and an emotion engine. Users can use a terminal such as a smartphone to input information related to childcare or elder care and receive appropriate support. The terminal accepts voice and text input and transmits the input data to the server.

[0216] The server runs on a high-performance computer platform and sends voice and text data received from the user to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. For emotion analysis, Python emotion analysis libraries such as TextBlob and NLTK are used, which makes it possible to generate childcare or caregiving information based on the user's emotional state.

[0217] Based on the analyzed emotional state, the server selects appropriate childcare and caregiving information from the database and generates customized support messages. This allows the server to suggest relaxation methods when the user is feeling stressed or anxious, and to encourage new challenges when the user is calm. These messages are sent to the device and displayed to the user.

[0218] For example, if a user enters "I'm worried because my child cries at night," the emotion engine identifies the anxiety from the tone, and the server generates a message suggesting relaxation techniques and recreational activities that can be done with family. This allows users to reduce their mental burden and practice more appropriate childcare or eldercare.

[0219] An example of a prompt might be, "Identify the user's emotions from their input and generate a corresponding care support message." This would allow the generating AI model to function properly and provide more empathetic support to the user.

[0220] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0221] Step 1:

[0222] Users input questions and information related to childcare and elder care into the device via voice or text. The input data is natural language information that may include emotions and is transmitted from the device to the server.

[0223] Step 2:

[0224] The server forwards the voice or text data received from the user to the emotion engine for analysis. This process involves natural language processing of the input data and the identification of the user's emotional state using an emotion analysis library (e.g., TextBlob or NLTK). As a result, the emotional state is output as a specific condition such as "anxious" or "calm."

[0225] Step 3:

[0226] The server, based on the emotional state received from the emotion engine, sends a prompt to the AI ​​model that generates information by referencing a database to select appropriate childcare or caregiving information. In this process, information suitable for the emotional state is searched and output to generate personalized advice or messages.

[0227] Step 4:

[0228] The generative AI model utilizes prompts to generate customized messages tailored to the user's emotional state. Here, the generative AI model constructs natural-sounding sentences based on information extracted from a database. Supportive messages appropriate to a specific emotional state are output.

[0229] Step 5:

[0230] The server sends the generated customized message to the user's device. The device displays the received message to the user, providing specific advice on childcare and elder care. As a result, the user can quickly access useful information.

[0231] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0232] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0233] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0234] [Second Embodiment]

[0235] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0236] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0237] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0238] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0239] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0240] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0241] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0242] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0243] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0244] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0245] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0246] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0247] This invention is a multifunctional system for supporting parents' childcare activities, and is primarily realized through the cooperation between a parent's terminal and a server. Specific embodiments are described below.

[0248] Childcare information provision function

[0249] When a user enters information about their child's age and developmental stage using their device, the device sends that information to a server. The server searches a childcare information database based on the received information and extracts appropriate childcare advice and points to note. The server then sends this information back to the user's device, allowing the user to receive appropriate childcare guidance.

[0250] Developmental check and recording function

[0251] Users can input data about their child's growth and development into the device. The device sends this data to a server, which compares it to standard developmental indicators. The server notifies the user of the analysis results and, if necessary, suggests consulting with an appropriate professional.

[0252] Health management support function

[0253] Managing the vaccination schedule begins with the user entering information into their device. The server uses this information to manage the schedule and automatically sends reminders to the user's device as each vaccination approaches. Furthermore, if a child shows signs of illness, the user enters this information into their device, and the server provides advice on initial response.

[0254] Community features

[0255] Users can access an online platform for exchanging information with other parents. When a user posts using their device, it is sent to the server and published in the relevant thread. When there are new comments or replies, the server sends notifications to the relevant users' devices to facilitate smooth communication.

[0256] To give a concrete example, if a user wants to know what toys are appropriate for a 6-month-old child, they can enter their question through their device, and the server will provide information on toys suitable for that age. In this way, parents can instantly obtain the necessary childcare information and use it to help with their daily parenting.

[0257] It is expected that the system described above will reduce the burden on parents, make child-rearing more fulfilling, and deepen the bond between parents and children.

[0258] The following describes the processing flow.

[0259] Step 1:

[0260] The user accesses the device and enters information such as the child's age, developmental stage, growth data, vaccination schedule, or other parenting information of interest.

[0261] Step 2:

[0262] The terminal converts the information entered by the user into a data format and prepares to send it to the server.

[0263] Step 3:

[0264] The terminal sends data to the server once it is ready to be transmitted. The server receives this data and begins the corresponding processing.

[0265] Step 4:

[0266] The server searches the childcare information database based on the received age and developmental stage, and extracts relevant childcare advice and points to note.

[0267] Step 5:

[0268] The server compares growth data to standard developmental indicators and generates results as needed. It also sets reminders based on vaccination schedule data and prepares for transmission at the appropriate time.

[0269] Step 6:

[0270] The server sends the processing results and generated information to the user's terminal.

[0271] Step 7:

[0272] The terminal receives information from the server, converts it into a displayable format, notifies the user, and displays the details on the screen.

[0273] Step 8:

[0274] Users will be ready to use community features through their devices to exchange information and seek advice from other parents.

[0275] Step 9:

[0276] When a user enters a post into the community, their device sends that content to the server.

[0277] Step 10:

[0278] The server supports community interaction by placing user posts in the appropriate threads and sending notifications to relevant users.

[0279] (Example 1)

[0280] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0281] In child-rearing, it is crucial for parents to quickly obtain accurate information about their child's growth and health. However, obtaining specialized child-rearing guidance and health management information tailored to individual circumstances presents challenges, requiring considerable effort and time. Furthermore, there are difficulties in obtaining information necessary to objectively assess a child's growth and development progress and take appropriate action when needed.

[0282] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0283] In this invention, the server includes means for providing appropriate childcare guidance by referring to an advanced database based on the age and development information of the child received from the parent's information processing device, means for analyzing the received growth data, comparing it with standard development criteria, and transmitting the analysis results to the parent's information processing device, and means for providing childcare advice for questions input by the parent using a generated AI model. As a result, parents can quickly obtain professional childcare information, accurately grasp the growth and health status of their children, and take appropriate actions.

[0284] The "parent's information processing device" is a digital device used by parents to input and receive childcare information.

[0285] The "child" refers to a child who is the subject of growth and development management by a terminal.

[0286] The "advanced database" is a data management system in which specialized and highly reliable information related to childcare is accumulated.

[0287] "Childcare guidance" refers to the provision of advice and points to note related to the growth and development of children.

[0288] The "received growth data" is information related to the growth of the child transferred from the parent's terminal.

[0289] The "standard development criteria" are reference values for determining whether a child's growth is on the normal line.

[0290] The "generated AI model" is a type of artificial intelligence that automatically generates appropriate advice based on the input information.

[0291] The "analysis results" refer to the conclusions and judgments obtained by comparing the growth data with standard criteria.

[0292] [[ID=-36]]"Image recognition technology" is a computer vision technology for identifying the content and meaning from photographic data.

[0293] This invention is a multifunctional information system that comprehensively supports parents' childcare activities, and is primarily realized through the cooperation of a parent's information processing device (terminal) and a server. Specific embodiments are described in detail below.

[0294] The system's foundation consists of user-owned terminals and high-performance servers. These terminals utilize the latest smart devices and personal computers. They are capable of inputting and receiving childcare information and running applications for managing children's growth and health data. The servers include a database system for processing large amounts of childcare data.

[0295] In the childcare information provision function, users use their devices to input information such as the child's age and developmental status. This data is sent from the device to the server using the HTTPS protocol. The server uses the received data to refer to a childcare information database, selects appropriate childcare guidance, and sends the information back to the user's device. In this process, an AI model is used to generate optimal childcare advice based on the input information.

[0296] For example, when a user enters the prompt "What toys are recommended for a 6-month-old baby?" into their terminal, the server processes that information and suggests toys that are best suited for a 6-month-old baby.

[0297] Furthermore, the developmental check and recording function allows users to input their child's growth data into their device, which is then sent to a server. The server compares the data to standard developmental criteria and sends the analysis results back to the device. As a result, users can receive expert advice based on specific growth parameters.

[0298] This system allows users to easily obtain solutions to various questions and concerns related to childcare. In this way, it is expected that users will be able to raise their children more efficiently and with greater peace of mind.

[0299] The process of the specific processing in Example 1 will be described with reference to FIG. 11.

[0300] Step 1:

[0301] The user accesses the dedicated application on the terminal and inputs the age and development information of the child. For this, an input form provided on the interface of the terminal is used. The input data is structured in JSON format and prepared for transmission to the server.

[0302] Step 2:

[0303] The terminal transmits the information input by the user to the server using the HTTPS protocol. At this stage, the data is encrypted to ensure security. After the transmission is completed, the server receives the data.

[0304] Step 3:

[0305] The server analyzes the received data and refers to the advanced parenting information database. Here, based on the information of the child input into the data analysis engine, relevant parenting guidance is searched. Using an AI model, the most appropriate advice is selected and a data package is created.

[0306] Step 4:

[0307] The server sends back the created data package to the user's terminal. For this transmission, the data is packaged again in JSON format and performed after ensuring security.

[0308] Step 5:

[0309] The user's terminal receives the data from the server and displays it on the application. Here, the user can visually confirm the parenting guidance. For the prompt sentence "What are the recommended toys for a 6-month-old baby?" entered, a list of specific corresponding toys is displayed.

[0310] This series of steps allows users to instantly obtain reliable parenting advice.

[0311] (Application Example 1)

[0312] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0313] In modern society, parents are expected to have access to diverse information about childcare quickly and accurately, and to receive support for their children's growth and health management. However, many parents struggle with the burden of gathering individual information and making appropriate decisions regarding initial responses. Furthermore, because there are limited means of obtaining group support regarding childcare, alleviating parental isolation is also a crucial issue.

[0314] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0315] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results; and means for managing the child's vaccination schedule and sending automatic reminders to the parent's control device. This enables parents to obtain the latest and most accurate childcare information and to efficiently manage their child's growth.

[0316] A "parent's control device" is a device used by a parent to input and receive information, and includes devices such as smartphones, tablets, and home robots.

[0317] A "highly reliable information infrastructure" is an information system that collects and stores the latest and most accurate data related to childcare, and makes it accessible as needed.

[0318] "Growth data" refers to a variety of data related to a child's development, such as their age, height, weight, motor skills, and language ability.

[0319] "Standard developmental indicators" are statistical data or indicators used as criteria for the growth and development of typical children.

[0320] An "automatic reminder" is a feature that automatically sends notifications to the user when a specific appointment or event is approaching.

[0321] "Group function" refers to a function that facilitates online or offline interaction so that parents can exchange opinions and seek advice from other parents.

[0322] A "sensor" is a device used to detect the state of the environment or an object and acquire information, and includes cameras, microphones, and other similar devices.

[0323] "Sound and display devices" are devices that convey information to users visually or audibly.

[0324] "Image processing technology" is a technique that analyzes information from still images and videos acquired by cameras and other devices to make specific decisions.

[0325] This embodiment demonstrates how a system for childcare support can be used in the home. The main components of the system include a parent control device, a server, multiple sensors, and a display device.

[0326] First, the parent's control device consists of a smartphone, tablet, or home robot, and is used to input and receive information related to childcare. This device can communicate with a server and send and receive data about the child's age and development.

[0327] The server analyzes received data based on a reliable information infrastructure and provides appropriate childcare information. The server includes technology to compare standard developmental indicators with growth data and notify parents of the analysis results via their control devices. It can also automatically send vaccination schedule reminders to parents' devices. Furthermore, it manages information exchange among parents through community features.

[0328] The sensors record a child's growth non-contact and assess their developmental status. For example, they can use cameras to periodically measure a child's height and movements, and use image processing technology to track their growth.

[0329] Display devices and voice assistants are used as a means of providing parents with childcare information in real time. For example, if a parent asks, "What toys are suitable for a 6-month-old child?", the device sends a prompt to a server, which then returns relevant information.

[0330] A concrete example of a prompt message is, "Please tell me about toys and ways to play with a baby who is [age] months old." This allows parents to immediately obtain the information they need.

[0331] In this way, it is possible to reduce the burden of childcare on parents and support more efficient and effective parenting.

[0332] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0333] Step 1:

[0334] The user enters the child's age and developmental information into the parent's control device. The entered information, such as age and developmental stage, is then transmitted from the device to the server.

[0335] Step 2:

[0336] The server analyzes the received child's age and developmental information using a reliable information infrastructure. It searches the database, extracts appropriate childcare information, and uses a generative AI model based on prompt messages to find information suitable for the parents. This information includes childcare advice and suggestions for appropriate toys.

[0337] Step 3:

[0338] The server transmits the analysis results to the parent's control device. The output information includes appropriate childcare information and advice, which the user can access through a display device or voice assistant.

[0339] Step 4:

[0340] The user inputs growth data into the device. The device sends this data to a server, which then performs growth analysis by comparing this data with standard developmental indicators.

[0341] Step 5:

[0342] The server notifies the parent's control device of the comparison results. This notification indicates how close the child's growth is to the standard and suggests consulting a specialist if necessary.

[0343] Step 6:

[0344] Sensors record a child's growth non-contactually. This record includes images and videos taken by cameras, and image processing technology is used to determine the child's growth status.

[0345] Step 7:

[0346] The server manages the child's vaccination schedule, automatically sends reminders at appropriate times, and transmits them to the parent's device. This allows users to stay informed about vaccination schedules in a timely manner.

[0347] Step 8:

[0348] Users exchange information with other users using the community feature. Posts from parent control devices are managed by the server, and relevant information is distributed appropriately.

[0349] This process allows users to efficiently obtain childcare information and support their children's growth and health.

[0350] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0351] The present invention is a system for supporting parents' childcare activities, and aims to provide more personalized childcare support by combining it with an emotion engine. Specific embodiments are described below.

[0352] Embedding an emotion engine

[0353] When a user uses the service through their device, the device sends voice and text input data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. This process allows the server to tailor the provision of childcare information based on the user's emotional state.

[0354] Providing childcare information tailored to individual emotions

[0355] The server can customize the content and presentation of parenting information based on the user's emotional state received from the emotion engine. For example, if the server determines that the user is feeling anxious or stressed, it will send parenting advice that includes calming information and encouraging messages. Conversely, if the server determines that the user is calm, it can suggest more academic information or challenging tasks.

[0356] Recording and analysis of emotional data

[0357] The user's emotional state is stored in a database along with the history of each piece of childcare information provided, which is useful for long-term analysis. This continuous recording allows the server to track changes in emotions over time and evolve the support provided to match the user's childcare style and needs.

[0358] To give a specific example, if a user inputs anxiety about their child's nighttime crying, and the audio recording includes an anxious tone, the emotion engine determines that the user is experiencing stress. Based on this information, the server suggests relaxation techniques and family activities that can be done on weekends, thereby reducing the user's anxiety and supporting their emotional well-being. In this way, utilizing the emotion engine enables more detailed and personalized childcare support.

[0359] The following describes the processing flow.

[0360] Step 1:

[0361] Users access the device and input information about their children and questions about childcare in voice or text format.

[0362] Step 2:

[0363] The device converts user input into a data format and prepares it to send voice and text data to the emotion engine.

[0364] Step 3:

[0365] The emotion engine analyzes data received from the device to determine the user's emotional state. For example, it can determine whether the user is stressed or calm based on their tone of voice and word choice.

[0366] Step 4:

[0367] The server receives the emotion assessment results from the emotion engine, searches the childcare information database based on that information, and selects the advice and information that is most appropriate for the user's emotional state.

[0368] Step 5:

[0369] The server generates user-optimized content in text or audio format based on the selected childcare information. For example, it might suggest relaxation methods to stressed users and detailed childcare techniques to calm users.

[0370] Step 6:

[0371] The server sends the generated information and advice to the user's terminal.

[0372] Step 7:

[0373] The device notifies the user of the received information and displays it visually or audibly.

[0374] Step 8:

[0375] The server records user emotional data along with the provided childcare information in a database, which will be used for later analysis and continuous service improvement.

[0376] This process is repeated to provide childcare support tailored to the user's emotions and to ensure that individual needs are met.

[0377] (Example 2)

[0378] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0379] Parents face numerous challenges in child-rearing, and there is a need for appropriate and flexible information tailored to individual needs. However, many existing systems fail to consider the user's emotional state or long-term emotional data, and are limited to providing general information. As a result, parents have difficulty receiving specific support to alleviate stress and anxiety.

[0380] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0381] In this invention, the server includes means for analyzing data received from the parent's information processing device and providing childcare information, means for analyzing the parent's emotional state and providing adjusted childcare information, and means for recording and analyzing emotional data over a long period of time to improve childcare support. This enables individualized responses based on the user's emotions, making it possible to provide more personalized childcare support.

[0382] An "information processing device" is a device that allows a user to input or receive data and transmit that data to an external system; this includes computers, smartphones, and tablets.

[0383] An "information recording medium" is a medium for storing and keeping data in a searchable format, and includes databases and cloud storage.

[0384] "Analysis" is the process of thoroughly examining received data, understanding its contents, and classifying them, and is carried out using algorithms and statistical methods.

[0385] "Attention-seeking" refers to notification functions that prompt users to take specific actions, and includes reminders and notifications that are automatically sent based on a schedule.

[0386] "Group functions" refer to features that allow multiple users to share information and communicate with each other, such as forums and chat groups.

[0387] "Emotional state" refers to the user's psychological condition and includes emotional information analyzed from voice and text input.

[0388] "Adjusted parenting information" refers to parenting advice and information that is tailored to the user's emotional state and individual needs.

[0389] "Sentimental data" refers to a collection of data that includes information related to users' emotions, and is used to analyze long-term changes and trends.

[0390] This invention is an information processing system for supporting parents' childcare activities, and aims to provide personalized childcare information tailored to the individual needs of each user by incorporating an emotion analysis engine.

[0391] When a user uses this system through an information processing terminal, the terminal accepts voice and text input. This input utilizes the microphone, keyboard, and touchscreen of a smartphone or tablet. The terminal sends voice and text data to the server. This communication is conducted via the Internet Protocol and is securely encrypted.

[0392] The server passes the received data to the sentiment analysis engine, which then applies natural language processing and speech emotion recognition technologies to analyze the user's emotional state. Specific software tools used include natural language processing libraries and speech analysis tools. The program is written in Python, and libraries such as NLTK are particularly useful for data analysis.

[0393] Based on the results of the emotion analysis, the server retrieves childcare information from the database that corresponds to the parent's emotional state and sends it to the terminal. This allows the user to receive appropriate and tailored information in real time. For example, if the user enters a prompt such as, "Please tell me some ways to relax when my child cries at night," the server will suggest relaxation techniques and activities that the family can enjoy on the weekend.

[0394] Furthermore, the server records user emotional data over long periods and stores it in a database along with the history of childcare support provided. This data helps analyze trends and evolve support in response to changes in the user's childcare style and emotions. A highly accurate database management system underpins this process, utilizing database technologies such as SQL and NoSQL.

[0395] Thus, the present invention realizes personalized childcare support based on emotion analysis and comprehensively supports parents' childcare activities.

[0396] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0397] Step 1:

[0398] Users use an information processing terminal to input questions and consultations about childcare via voice or text. For example, a user might speak into their smartphone's microphone, saying, "Please tell me some ways to relax when my child cries at night." The input data is captured as digital voice data via the microphone and converted into text data by the terminal's text conversion system.

[0399] Step 2:

[0400] The device sends the acquired voice or text data to the server. Here, the input text data is encrypted and sent to the server via the internet. This process outputs the input data as request data to the server, preparing it for sentiment analysis.

[0401] Step 3:

[0402] The server analyzes the received text data and passes it to the sentiment analysis engine. The sentiment analysis engine uses a natural language processing library to determine the user's emotional state. The input data is in text format, and the analysis identifies whether the user is experiencing anxiety, joy, stress, etc. The output of this process is the user's emotional state identification result.

[0403] Step 4:

[0404] Based on the results of the emotion analysis, the server searches and selects corresponding childcare information from the database. The retrieved data is childcare information that matches the user's emotional state. For example, if the analysis result is determined to be "stress," information on relaxation techniques and suggested activities for stress reduction will be selected. This results in appropriately adjusted childcare information being output.

[0405] Step 5:

[0406] The server sends the selected childcare information to the terminal. The selected childcare information is sent to the user's terminal via the internet. In this process, the output data is visually displayed to the user through the terminal's user interface.

[0407] Step 6:

[0408] The server records emotional data exchanged between the user and the system, as well as childcare information provided, in a database. This recorded data will be used for future analysis and service improvements. Specifically, emotional states and related childcare information are stored in the database using technologies such as SQL.

[0409] (Application Example 2)

[0410] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0411] In childcare and elder care, there is a challenge in providing appropriate support information quickly and effectively, tailored to the individual emotional state of each person. In particular, there is a need to reduce the anxiety and stress experienced by those providing childcare and elder care, and to provide better support.

[0412] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0413] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's terminal; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's terminal of the results; and means for analyzing the caregiver's emotional state using an emotion engine and generating information and support messages accordingly. This enables accurate support and information provision tailored to each individual's emotional state.

[0414] A "terminal" is an electronic device used for inputting and outputting information, and can be used by parents or caregivers.

[0415] "Age" is a numerical value that indicates the time elapsed since birth, and it is a standard used to customize childcare information and developmental indicators.

[0416] "Developmental information" refers to data about the growth and health status of children and those receiving care, and is used to determine appropriate support and advice.

[0417] A "database" is a storage device that holds reliable information related to childcare and elder care, and is referenced to provide users with appropriate information.

[0418] "Growth data" refers to data about the growth process of children or those receiving care, and is used to compare with standard developmental indicators.

[0419] "Standard developmental indicators" are generally accepted criteria for growth and development, used as a point of comparison when evaluating individual circumstances.

[0420] An "immunization schedule" is a planned schedule of vaccinations designed to maintain the health of children and those receiving care, and managing this schedule is a means of supporting health.

[0421] An "automatic reminder" is a feature that sends notifications to a device to remind the user of important appointments or tasks.

[0422] The "community function" is a feature that allows users to exchange information, seek advice, and exchange opinions with other users.

[0423] An "emotion engine" is a processing device that analyzes a user's emotional state from input data and is used to provide information tailored to the user's needs.

[0424] A "caregiver" is a person who provides care for a person receiving care, and in the context of childcare support, this may refer to a parent or guardian.

[0425] "Support messages" are pieces of advice and encouragement generated according to the user's situation and emotional state, and their role is to support the user.

[0426] The system realizing this invention consists of a user terminal, a server, and an emotion engine. Users can use a terminal such as a smartphone to input information related to childcare or elder care and receive appropriate support. The terminal accepts voice and text input and transmits the input data to the server.

[0427] The server runs on a high-performance computer platform and sends voice and text data received from the user to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. For emotion analysis, Python emotion analysis libraries such as TextBlob and NLTK are used, which makes it possible to generate childcare or caregiving information based on the user's emotional state.

[0428] Based on the analyzed emotional state, the server selects appropriate childcare and caregiving information from the database and generates customized support messages. This allows the server to suggest relaxation methods when the user is feeling stressed or anxious, and to encourage new challenges when the user is calm. These messages are sent to the device and displayed to the user.

[0429] For example, if a user enters "I'm worried because my child cries at night," the emotion engine identifies the anxiety from the tone, and the server generates a message suggesting relaxation techniques and recreational activities that can be done with family. This allows users to reduce their mental burden and practice more appropriate childcare or eldercare.

[0430] An example of a prompt might be, "Identify the user's emotions from their input and generate a corresponding care support message." This would allow the generating AI model to function properly and provide more empathetic support to the user.

[0431] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0432] Step 1:

[0433] Users input questions and information related to childcare and elder care into the device via voice or text. The input data is natural language information that may include emotions and is transmitted from the device to the server.

[0434] Step 2:

[0435] The server forwards the voice or text data received from the user to the emotion engine for analysis. This process involves natural language processing of the input data and the identification of the user's emotional state using an emotion analysis library (e.g., TextBlob or NLTK). As a result, the emotional state is output as a specific condition such as "anxious" or "calm."

[0436] Step 3:

[0437] The server, based on the emotional state received from the emotion engine, sends a prompt to the AI ​​model that generates information by referencing a database to select appropriate childcare or caregiving information. In this process, information suitable for the emotional state is searched and output to generate personalized advice or messages.

[0438] Step 4:

[0439] The generative AI model utilizes prompts to generate customized messages tailored to the user's emotional state. Here, the generative AI model constructs natural-sounding sentences based on information extracted from a database. Supportive messages appropriate to a specific emotional state are output.

[0440] Step 5:

[0441] The server sends the generated customized message to the user's device. The device displays the received message to the user, providing specific advice on childcare and elder care. As a result, the user can quickly access useful information.

[0442] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0443] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0444] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0445] [Third Embodiment]

[0446] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0447] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0448] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0449] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0450] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0451] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0452] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0453] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0454] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0455] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0456] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0457] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0458] This invention is a multifunctional system for supporting parents' childcare activities, and is primarily realized through the cooperation between a parent's terminal and a server. Specific embodiments are described below.

[0459] Childcare information provision function

[0460] When a user enters information about their child's age and developmental stage using their device, the device sends that information to a server. The server searches a childcare information database based on the received information and extracts appropriate childcare advice and points to note. The server then sends this information back to the user's device, allowing the user to receive appropriate childcare guidance.

[0461] Developmental check and recording function

[0462] Users can input data about their child's growth and development into the device. The device sends this data to a server, which compares it to standard developmental indicators. The server notifies the user of the analysis results and, if necessary, suggests consulting with an appropriate professional.

[0463] Health management support function

[0464] Managing the vaccination schedule begins with the user entering information into their device. The server uses this information to manage the schedule and automatically sends reminders to the user's device as each vaccination approaches. Furthermore, if a child shows signs of illness, the user enters this information into their device, and the server provides advice on initial response.

[0465] Community features

[0466] Users can access an online platform for exchanging information with other parents. When a user posts using their device, it is sent to the server and published in the relevant thread. When there are new comments or replies, the server sends notifications to the relevant users' devices to facilitate smooth communication.

[0467] To give a concrete example, if a user wants to know what toys are appropriate for a 6-month-old child, they can enter their question through their device, and the server will provide information on toys suitable for that age. In this way, parents can instantly obtain the necessary childcare information and use it to help with their daily parenting.

[0468] It is expected that the system described above will reduce the burden on parents, make child-rearing more fulfilling, and deepen the bond between parents and children.

[0469] The following describes the processing flow.

[0470] Step 1:

[0471] The user accesses the device and enters information such as the child's age, developmental stage, growth data, vaccination schedule, or other parenting information of interest.

[0472] Step 2:

[0473] The terminal converts the information entered by the user into a data format and prepares to send it to the server.

[0474] Step 3:

[0475] The terminal sends data to the server once it is ready to be transmitted. The server receives this data and begins the corresponding processing.

[0476] Step 4:

[0477] The server searches the childcare information database based on the received age and developmental stage, and extracts relevant childcare advice and points to note.

[0478] Step 5:

[0479] The server compares growth data to standard developmental indicators and generates results as needed. It also sets reminders based on vaccination schedule data and prepares for transmission at the appropriate time.

[0480] Step 6:

[0481] The server sends the processing results and generated information to the user's terminal.

[0482] Step 7:

[0483] The terminal receives information from the server, converts it into a displayable format, notifies the user, and displays the details on the screen.

[0484] Step 8:

[0485] Users will be ready to use community features through their devices to exchange information and seek advice from other parents.

[0486] Step 9:

[0487] When a user enters a post into the community, their device sends that content to the server.

[0488] Step 10:

[0489] The server supports community interaction by placing user posts in the appropriate threads and sending notifications to relevant users.

[0490] (Example 1)

[0491] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0492] In child-rearing, it is crucial for parents to quickly obtain accurate information about their child's growth and health. However, obtaining specialized child-rearing guidance and health management information tailored to individual circumstances presents challenges, requiring considerable effort and time. Furthermore, there are difficulties in obtaining information necessary to objectively assess a child's growth and development progress and take appropriate action when needed.

[0493] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0494] In this invention, the server includes means for providing appropriate childcare guidance by referring to an advanced database based on the child's age and developmental information received from the parent's information processing device; means for analyzing the received growth data, comparing it with standard developmental criteria, and transmitting the analysis results to the parent's information processing device; and means for providing childcare advice in response to questions entered by the parent using a generating AI model. This enables parents to quickly obtain expert childcare information, accurately grasp the child's growth and health status, and take appropriate action.

[0495] A "parent information processing device" is a digital device used by parents to input and receive childcare information.

[0496] "Children" refers to children whose growth and development are monitored through the use of devices.

[0497] An "advanced database" is a data management system that stores professional and reliable information related to childcare.

[0498] "Childcare guidance" refers to providing advice and points of caution related to a child's growth and development.

[0499] "Received growth data" refers to information about a child's growth that is transferred from the parent's device.

[0500] "Standard developmental criteria" are benchmark values ​​used to determine whether a child's development is on a normal line.

[0501] A "generative AI model" is a type of artificial intelligence that automatically generates appropriate advice based on the input information.

[0502] "Analysis results" refer to conclusions and judgments drawn by comparing growth data with standard criteria.

[0503] "Image recognition technology" is a computer vision technology used to identify content and meaning from photographic data.

[0504] This invention is a multifunctional information system that comprehensively supports parents' childcare activities, and is primarily realized through the cooperation of a parent's information processing device (terminal) and a server. Specific embodiments are described in detail below.

[0505] The system's foundation consists of user-owned terminals and high-performance servers. These terminals utilize the latest smart devices and personal computers. They are capable of inputting and receiving childcare information and running applications for managing children's growth and health data. The servers include a database system for processing large amounts of childcare data.

[0506] In the childcare information provision function, users use their devices to input information such as the child's age and developmental status. This data is sent from the device to the server using the HTTPS protocol. The server uses the received data to refer to a childcare information database, selects appropriate childcare guidance, and sends the information back to the user's device. In this process, an AI model is used to generate optimal childcare advice based on the input information.

[0507] For example, when a user enters the prompt "What toys are recommended for a 6-month-old baby?" into their terminal, the server processes that information and suggests toys that are best suited for a 6-month-old baby.

[0508] Furthermore, the developmental check and recording function allows users to input their child's growth data into their device, which is then sent to a server. The server compares the data to standard developmental criteria and sends the analysis results back to the device. As a result, users can receive expert advice based on specific growth parameters.

[0509] This system allows users to easily obtain solutions to various questions and concerns related to childcare. In this way, it is expected that users will be able to raise their children more efficiently and with greater peace of mind.

[0510] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0511] Step 1:

[0512] The user accesses a dedicated application on the device and enters the child's age and developmental information. This is done using an input form provided on the device's interface. The entered data is structured in JSON format and prepared for transmission to the server.

[0513] Step 2:

[0514] The terminal sends the information entered by the user to the server using the HTTPS protocol. At this stage, the data is encrypted and secure. After transmission is complete, the server receives the data.

[0515] Step 3:

[0516] The server analyzes the received data and consults an advanced childcare information database. Here, the data analysis engine searches for relevant childcare guidance based on the input child information. Using an AI model, it selects the most appropriate advice and creates a data package.

[0517] Step 4:

[0518] The server sends the created data package back to the user's terminal. This transmission involves repackaging the data in JSON format and ensuring security.

[0519] Step 5:

[0520] The user's device receives data from the server and displays it on the application. Here, the user can visually review childcare guidance. In response to the prompt "What toys are recommended for a 6-month-old baby?", a list of specific toys is displayed.

[0521] This series of steps allows users to instantly obtain reliable parenting advice.

[0522] (Application Example 1)

[0523] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0524] In modern society, parents are expected to have access to diverse information about childcare quickly and accurately, and to receive support for their children's growth and health management. However, many parents struggle with the burden of gathering individual information and making appropriate decisions regarding initial responses. Furthermore, because there are limited means of obtaining group support regarding childcare, alleviating parental isolation is also a crucial issue.

[0525] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0526] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results; and means for managing the child's vaccination schedule and sending automatic reminders to the parent's control device. This enables parents to obtain the latest and most accurate childcare information and to efficiently manage their child's growth.

[0527] A "parent's control device" is a device used by a parent to input and receive information, and includes devices such as smartphones, tablets, and home robots.

[0528] A "highly reliable information infrastructure" is an information system that collects and stores the latest and most accurate data related to childcare, and makes it accessible as needed.

[0529] "Growth data" refers to a variety of data related to a child's development, such as their age, height, weight, motor skills, and language ability.

[0530] "Standard developmental indicators" are statistical data or indicators used as criteria for the growth and development of typical children.

[0531] An "automatic reminder" is a feature that automatically sends notifications to the user when a specific appointment or event is approaching.

[0532] "Group function" refers to a function that facilitates online or offline interaction so that parents can exchange opinions and seek advice from other parents.

[0533] A "sensor" is a device used to detect the state of the environment or an object and acquire information, and includes cameras, microphones, and other similar devices.

[0534] "Sound and display devices" are devices that convey information to users visually or audibly.

[0535] "Image processing technology" is a technique that analyzes information from still images and videos acquired by cameras and other devices to make specific decisions.

[0536] This embodiment demonstrates how a system for childcare support can be used in the home. The main components of the system include a parent control device, a server, multiple sensors, and a display device.

[0537] First, the parent's control device consists of a smartphone, tablet, or home robot, and is used to input and receive information related to childcare. This device can communicate with a server and send and receive data about the child's age and development.

[0538] The server analyzes received data based on a reliable information infrastructure and provides appropriate childcare information. The server includes technology to compare standard developmental indicators with growth data and notify parents of the analysis results via their control devices. It can also automatically send vaccination schedule reminders to parents' devices. Furthermore, it manages information exchange among parents through community features.

[0539] The sensors record a child's growth non-contact and assess their developmental status. For example, they can use cameras to periodically measure a child's height and movements, and use image processing technology to track their growth.

[0540] Display devices and voice assistants are used as a means of providing parents with childcare information in real time. For example, if a parent asks, "What toys are suitable for a 6-month-old child?", the device sends a prompt to a server, which then returns relevant information.

[0541] A concrete example of a prompt message is, "Please tell me about toys and ways to play with a baby who is [age] months old." This allows parents to immediately obtain the information they need.

[0542] In this way, it is possible to reduce the burden of childcare on parents and support more efficient and effective parenting.

[0543] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0544] Step 1:

[0545] The user enters the child's age and developmental information into the parent's control device. The entered information, such as age and developmental stage, is then transmitted from the device to the server.

[0546] Step 2:

[0547] The server analyzes the received child's age and developmental information using a reliable information infrastructure. It searches the database, extracts appropriate childcare information, and uses a generative AI model based on prompt messages to find information suitable for the parents. This information includes childcare advice and suggestions for appropriate toys.

[0548] Step 3:

[0549] The server transmits the analysis results to the parent's control device. The output information includes appropriate childcare information and advice, which the user can access through a display device or voice assistant.

[0550] Step 4:

[0551] The user inputs growth data into the device. The device sends this data to a server, which then performs growth analysis by comparing this data with standard developmental indicators.

[0552] Step 5:

[0553] The server notifies the parent's control device of the comparison results. This notification indicates how close the child's growth is to the standard and suggests consulting a specialist if necessary.

[0554] Step 6:

[0555] Sensors record a child's growth non-contactually. This record includes images and videos taken by cameras, and image processing technology is used to determine the child's growth status.

[0556] Step 7:

[0557] The server manages the child's vaccination schedule, automatically sends reminders at appropriate times, and transmits them to the parent's device. This allows users to stay informed about vaccination schedules in a timely manner.

[0558] Step 8:

[0559] Users exchange information with other users using the community feature. Posts from parent control devices are managed by the server, and relevant information is distributed appropriately.

[0560] This process allows users to efficiently obtain childcare information and support their children's growth and health.

[0561] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0562] The present invention is a system for supporting parents' childcare activities, and aims to provide more personalized childcare support by combining it with an emotion engine. Specific embodiments are described below.

[0563] Embedding an emotion engine

[0564] When a user uses the service through their device, the device sends voice and text input data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. This process allows the server to tailor the provision of childcare information based on the user's emotional state.

[0565] Providing childcare information tailored to individual emotions

[0566] The server can customize the content and presentation of parenting information based on the user's emotional state received from the emotion engine. For example, if the server determines that the user is feeling anxious or stressed, it will send parenting advice that includes calming information and encouraging messages. Conversely, if the server determines that the user is calm, it can suggest more academic information or challenging tasks.

[0567] Recording and analysis of emotional data

[0568] The user's emotional state is stored in a database along with the history of each piece of childcare information provided, which is useful for long-term analysis. This continuous recording allows the server to track changes in emotions over time and evolve the support provided to match the user's childcare style and needs.

[0569] To give a specific example, if a user inputs anxiety about their child's nighttime crying, and the audio recording includes an anxious tone, the emotion engine determines that the user is experiencing stress. Based on this information, the server suggests relaxation techniques and family activities that can be done on weekends, thereby reducing the user's anxiety and supporting their emotional well-being. In this way, utilizing the emotion engine enables more detailed and personalized childcare support.

[0570] The following describes the processing flow.

[0571] Step 1:

[0572] Users access the device and input information about their children and questions about childcare in voice or text format.

[0573] Step 2:

[0574] The device converts user input into a data format and prepares it to send voice and text data to the emotion engine.

[0575] Step 3:

[0576] The emotion engine analyzes data received from the device to determine the user's emotional state. For example, it can determine whether the user is stressed or calm based on their tone of voice and word choice.

[0577] Step 4:

[0578] The server receives the emotion assessment results from the emotion engine, searches the childcare information database based on that information, and selects the advice and information that is most appropriate for the user's emotional state.

[0579] Step 5:

[0580] The server generates user-optimized content in text or audio format based on the selected childcare information. For example, it might suggest relaxation methods to stressed users and detailed childcare techniques to calm users.

[0581] Step 6:

[0582] The server sends the generated information and advice to the user's terminal.

[0583] Step 7:

[0584] The device notifies the user of the received information and displays it visually or audibly.

[0585] Step 8:

[0586] The server records user emotional data along with the provided childcare information in a database, which will be used for later analysis and continuous service improvement.

[0587] This process is repeated to provide childcare support tailored to the user's emotions and to ensure that individual needs are met.

[0588] (Example 2)

[0589] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0590] Parents face numerous challenges in child-rearing, and there is a need for appropriate and flexible information tailored to individual needs. However, many existing systems fail to consider the user's emotional state or long-term emotional data, and are limited to providing general information. As a result, parents have difficulty receiving specific support to alleviate stress and anxiety.

[0591] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0592] In this invention, the server includes means for analyzing data received from the parent's information processing device and providing childcare information, means for analyzing the parent's emotional state and providing adjusted childcare information, and means for recording and analyzing emotional data over a long period of time to improve childcare support. This enables individualized responses based on the user's emotions, making it possible to provide more personalized childcare support.

[0593] An "information processing device" is a device that allows a user to input or receive data and transmit that data to an external system; this includes computers, smartphones, and tablets.

[0594] An "information recording medium" is a medium for storing and keeping data in a searchable format, and includes databases and cloud storage.

[0595] "Analysis" is the process of thoroughly examining received data, understanding its contents, and classifying them, and is carried out using algorithms and statistical methods.

[0596] "Attention-seeking" refers to notification functions that prompt users to take specific actions, and includes reminders and notifications that are automatically sent based on a schedule.

[0597] "Group functions" refer to features that allow multiple users to share information and communicate with each other, such as forums and chat groups.

[0598] "Emotional state" refers to the user's psychological condition and includes emotional information analyzed from voice and text input.

[0599] "Adjusted parenting information" refers to parenting advice and information that is tailored to the user's emotional state and individual needs.

[0600] "Sentimental data" refers to a collection of data that includes information related to users' emotions, and is used to analyze long-term changes and trends.

[0601] This invention is an information processing system for supporting parents' childcare activities, and aims to provide personalized childcare information tailored to the individual needs of each user by incorporating an emotion analysis engine.

[0602] When a user uses this system through an information processing terminal, the terminal accepts voice and text input. This input utilizes the microphone, keyboard, and touchscreen of a smartphone or tablet. The terminal sends voice and text data to the server. This communication is conducted via the Internet Protocol and is securely encrypted.

[0603] The server passes the received data to the sentiment analysis engine, which then applies natural language processing and speech emotion recognition technologies to analyze the user's emotional state. Specific software tools used include natural language processing libraries and speech analysis tools. The program is written in Python, and libraries such as NLTK are particularly useful for data analysis.

[0604] Based on the results of the emotion analysis, the server retrieves childcare information from the database that corresponds to the parent's emotional state and sends it to the terminal. This allows the user to receive appropriate and tailored information in real time. For example, if the user enters a prompt such as, "Please tell me some ways to relax when my child cries at night," the server will suggest relaxation techniques and activities that the family can enjoy on the weekend.

[0605] Furthermore, the server records user emotional data over long periods and stores it in a database along with the history of childcare support provided. This data helps analyze trends and evolve support in response to changes in the user's childcare style and emotions. A highly accurate database management system underpins this process, utilizing database technologies such as SQL and NoSQL.

[0606] Thus, the present invention realizes personalized childcare support based on emotion analysis and comprehensively supports parents' childcare activities.

[0607] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0608] Step 1:

[0609] Users use an information processing terminal to input questions and consultations about childcare via voice or text. For example, a user might speak into their smartphone's microphone, saying, "Please tell me some ways to relax when my child cries at night." The input data is captured as digital voice data via the microphone and converted into text data by the terminal's text conversion system.

[0610] Step 2:

[0611] The device sends the acquired voice or text data to the server. Here, the input text data is encrypted and sent to the server via the internet. This process outputs the input data as request data to the server, preparing it for sentiment analysis.

[0612] Step 3:

[0613] The server analyzes the received text data and passes it to the sentiment analysis engine. The sentiment analysis engine uses a natural language processing library to determine the user's emotional state. The input data is in text format, and the analysis identifies whether the user is experiencing anxiety, joy, stress, etc. The output of this process is the user's emotional state identification result.

[0614] Step 4:

[0615] Based on the results of the emotion analysis, the server searches and selects corresponding childcare information from the database. The retrieved data is childcare information that matches the user's emotional state. For example, if the analysis result is determined to be "stress," information on relaxation techniques and suggested activities for stress reduction will be selected. This results in appropriately adjusted childcare information being output.

[0616] Step 5:

[0617] The server sends the selected childcare information to the terminal. The selected childcare information is sent to the user's terminal via the internet. In this process, the output data is visually displayed to the user through the terminal's user interface.

[0618] Step 6:

[0619] The server records emotional data exchanged between the user and the system, as well as childcare information provided, in a database. This recorded data will be used for future analysis and service improvements. Specifically, emotional states and related childcare information are stored in the database using technologies such as SQL.

[0620] (Application Example 2)

[0621] Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0622] In childcare and elder care, there is a challenge in providing appropriate support information quickly and effectively, tailored to the individual emotional state of each person. In particular, there is a need to reduce the anxiety and stress experienced by those providing childcare and elder care, and to provide better support.

[0623] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0624] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's terminal; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's terminal of the results; and means for analyzing the caregiver's emotional state using an emotion engine and generating information and support messages accordingly. This enables accurate support and information provision tailored to each individual's emotional state.

[0625] A "terminal" is an electronic device used for inputting and outputting information, and can be used by parents or caregivers.

[0626] "Age" is a numerical value that indicates the time elapsed since birth, and it is a standard used to customize childcare information and developmental indicators.

[0627] "Developmental information" refers to data about the growth and health status of children and those receiving care, and is used to determine appropriate support and advice.

[0628] A "database" is a storage device that holds reliable information related to childcare and elder care, and is referenced to provide users with appropriate information.

[0629] "Growth data" refers to data about the growth process of children or those receiving care, and is used to compare with standard developmental indicators.

[0630] "Standard developmental indicators" are generally accepted criteria for growth and development, used as a point of comparison when evaluating individual circumstances.

[0631] An "immunization schedule" is a planned schedule of vaccinations designed to maintain the health of children and those receiving care, and managing this schedule is a means of supporting health.

[0632] An "automatic reminder" is a feature that sends notifications to a device to remind the user of important appointments or tasks.

[0633] The "community function" is a feature that allows users to exchange information, seek advice, and exchange opinions with other users.

[0634] An "emotion engine" is a processing device that analyzes a user's emotional state from input data and is used to provide information tailored to the user's needs.

[0635] A "caregiver" is a person who provides care for a person receiving care, and in the context of childcare support, this may refer to a parent or guardian.

[0636] "Support messages" are pieces of advice and encouragement generated according to the user's situation and emotional state, and their role is to support the user.

[0637] The system realizing this invention consists of a user terminal, a server, and an emotion engine. Users can use a terminal such as a smartphone to input information related to childcare or elder care and receive appropriate support. The terminal accepts voice and text input and transmits the input data to the server.

[0638] The server runs on a high-performance computer platform and sends voice and text data received from the user to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. For emotion analysis, Python emotion analysis libraries such as TextBlob and NLTK are used, which makes it possible to generate childcare or caregiving information based on the user's emotional state.

[0639] Based on the analyzed emotional state, the server selects appropriate childcare and caregiving information from the database and generates customized support messages. This allows the server to suggest relaxation methods when the user is feeling stressed or anxious, and to encourage new challenges when the user is calm. These messages are sent to the device and displayed to the user.

[0640] For example, if a user enters "I'm worried because my child cries at night," the emotion engine identifies the anxiety from the tone, and the server generates a message suggesting relaxation techniques and recreational activities that can be done with family. This allows users to reduce their mental burden and practice more appropriate childcare or eldercare.

[0641] An example of a prompt might be, "Identify the user's emotions from their input and generate a corresponding care support message." This would allow the generating AI model to function properly and provide more empathetic support to the user.

[0642] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0643] Step 1:

[0644] Users input questions and information related to childcare and elder care into the device via voice or text. The input data is natural language information that may include emotions and is transmitted from the device to the server.

[0645] Step 2:

[0646] The server forwards the voice or text data received from the user to the emotion engine for analysis. This process involves natural language processing of the input data and the identification of the user's emotional state using an emotion analysis library (e.g., TextBlob or NLTK). As a result, the emotional state is output as a specific condition such as "anxious" or "calm."

[0647] Step 3:

[0648] The server, based on the emotional state received from the emotion engine, sends a prompt to the AI ​​model that generates information by referencing a database to select appropriate childcare or caregiving information. In this process, information suitable for the emotional state is searched and output to generate personalized advice or messages.

[0649] Step 4:

[0650] The generative AI model utilizes prompts to generate customized messages tailored to the user's emotional state. Here, the generative AI model constructs natural-sounding sentences based on information extracted from a database. Supportive messages appropriate to a specific emotional state are output.

[0651] Step 5:

[0652] The server sends the generated customized message to the user's device. The device displays the received message to the user, providing specific advice on childcare and elder care. As a result, the user can quickly access useful information.

[0653] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0654] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0655] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0656] [Fourth Embodiment]

[0657] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0658] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0659] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0660] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0661] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0662] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0663] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0664] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0665] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0666] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0667] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0668] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0669] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0670] This invention is a multifunctional system for supporting parents' childcare activities, and is primarily realized through the cooperation between a parent's terminal and a server. Specific embodiments are described below.

[0671] Childcare information provision function

[0672] When a user enters information about their child's age and developmental stage using their device, the device sends that information to a server. The server searches a childcare information database based on the received information and extracts appropriate childcare advice and points to note. The server then sends this information back to the user's device, allowing the user to receive appropriate childcare guidance.

[0673] Developmental check and recording function

[0674] Users can input data about their child's growth and development into the device. The device sends this data to a server, which compares it to standard developmental indicators. The server notifies the user of the analysis results and, if necessary, suggests consulting with an appropriate professional.

[0675] Health management support function

[0676] Managing the vaccination schedule begins with the user entering information into their device. The server uses this information to manage the schedule and automatically sends reminders to the user's device as each vaccination approaches. Furthermore, if a child shows signs of illness, the user enters this information into their device, and the server provides advice on initial response.

[0677] Community features

[0678] Users can access an online platform for exchanging information with other parents. When a user posts using their device, it is sent to the server and published in the relevant thread. When there are new comments or replies, the server sends notifications to the relevant users' devices to facilitate smooth communication.

[0679] To give a concrete example, if a user wants to know what toys are appropriate for a 6-month-old child, they can enter their question through their device, and the server will provide information on toys suitable for that age. In this way, parents can instantly obtain the necessary childcare information and use it to help with their daily parenting.

[0680] It is expected that the system described above will reduce the burden on parents, make child-rearing more fulfilling, and deepen the bond between parents and children.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] The user accesses the device and enters information such as the child's age, developmental stage, growth data, vaccination schedule, or other parenting information of interest.

[0684] Step 2:

[0685] The terminal converts the information entered by the user into a data format and prepares to send it to the server.

[0686] Step 3:

[0687] The terminal sends data to the server once it is ready to be transmitted. The server receives this data and begins the corresponding processing.

[0688] Step 4:

[0689] The server searches the childcare information database based on the received age and developmental stage, and extracts relevant childcare advice and points to note.

[0690] Step 5:

[0691] The server compares growth data to standard developmental indicators and generates results as needed. It also sets reminders based on vaccination schedule data and prepares for transmission at the appropriate time.

[0692] Step 6:

[0693] The server sends the processing results and generated information to the user's terminal.

[0694] Step 7:

[0695] The terminal receives information from the server, converts it into a displayable format, notifies the user, and displays the details on the screen.

[0696] Step 8:

[0697] Users will be ready to use community features through their devices to exchange information and seek advice from other parents.

[0698] Step 9:

[0699] When a user enters a post into the community, their device sends that content to the server.

[0700] Step 10:

[0701] The server supports community interaction by placing user posts in the appropriate threads and sending notifications to relevant users.

[0702] (Example 1)

[0703] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0704] In child-rearing, it is crucial for parents to quickly obtain accurate information about their child's growth and health. However, obtaining specialized child-rearing guidance and health management information tailored to individual circumstances presents challenges, requiring considerable effort and time. Furthermore, there are difficulties in obtaining information necessary to objectively assess a child's growth and development progress and take appropriate action when needed.

[0705] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0706] In this invention, the server includes means for providing appropriate childcare guidance by referring to an advanced database based on the child's age and developmental information received from the parent's information processing device; means for analyzing the received growth data, comparing it with standard developmental criteria, and transmitting the analysis results to the parent's information processing device; and means for providing childcare advice in response to questions entered by the parent using a generating AI model. This enables parents to quickly obtain expert childcare information, accurately grasp the child's growth and health status, and take appropriate action.

[0707] A "parent information processing device" is a digital device used by parents to input and receive childcare information.

[0708] "Children" refers to children whose growth and development are monitored through the use of devices.

[0709] An "advanced database" is a data management system that stores professional and reliable information related to childcare.

[0710] "Childcare guidance" refers to providing advice and points of caution related to a child's growth and development.

[0711] "Received growth data" refers to information about a child's growth that is transferred from the parent's device.

[0712] "Standard developmental criteria" are benchmark values ​​used to determine whether a child's development is on a normal line.

[0713] A "generative AI model" is a type of artificial intelligence that automatically generates appropriate advice based on the input information.

[0714] "Analysis results" refer to conclusions and judgments drawn by comparing growth data with standard criteria.

[0715] "Image recognition technology" is a computer vision technology used to identify content and meaning from photographic data.

[0716] This invention is a multifunctional information system that comprehensively supports parents' childcare activities, and is primarily realized through the cooperation of a parent's information processing device (terminal) and a server. Specific embodiments are described in detail below.

[0717] The system's foundation consists of user-owned terminals and high-performance servers. These terminals utilize the latest smart devices and personal computers. They are capable of inputting and receiving childcare information and running applications for managing children's growth and health data. The servers include a database system for processing large amounts of childcare data.

[0718] In the childcare information provision function, users use their devices to input information such as the child's age and developmental status. This data is sent from the device to the server using the HTTPS protocol. The server uses the received data to refer to a childcare information database, selects appropriate childcare guidance, and sends the information back to the user's device. In this process, an AI model is used to generate optimal childcare advice based on the input information.

[0719] For example, when a user enters the prompt "What toys are recommended for a 6-month-old baby?" into their terminal, the server processes that information and suggests toys that are best suited for a 6-month-old baby.

[0720] Furthermore, the developmental check and recording function allows users to input their child's growth data into their device, which is then sent to a server. The server compares the data to standard developmental criteria and sends the analysis results back to the device. As a result, users can receive expert advice based on specific growth parameters.

[0721] This system allows users to easily obtain solutions to various questions and concerns related to childcare. In this way, it is expected that users will be able to raise their children more efficiently and with greater peace of mind.

[0722] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0723] Step 1:

[0724] The user accesses a dedicated application on the device and enters the child's age and developmental information. This is done using an input form provided on the device's interface. The entered data is structured in JSON format and prepared for transmission to the server.

[0725] Step 2:

[0726] The terminal sends the information entered by the user to the server using the HTTPS protocol. At this stage, the data is encrypted and secure. After transmission is complete, the server receives the data.

[0727] Step 3:

[0728] The server analyzes the received data and consults an advanced childcare information database. Here, the data analysis engine searches for relevant childcare guidance based on the input child information. Using an AI model, it selects the most appropriate advice and creates a data package.

[0729] Step 4:

[0730] The server sends the created data package back to the user's terminal. This transmission involves repackaging the data in JSON format and ensuring security.

[0731] Step 5:

[0732] The user's device receives data from the server and displays it on the application. Here, the user can visually review childcare guidance. In response to the prompt "What toys are recommended for a 6-month-old baby?", a list of specific toys is displayed.

[0733] This series of steps allows users to instantly obtain reliable parenting advice.

[0734] (Application Example 1)

[0735] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0736] In modern society, parents are expected to have access to diverse information about childcare quickly and accurately, and to receive support for their children's growth and health management. However, many parents struggle with the burden of gathering individual information and making appropriate decisions regarding initial responses. Furthermore, because there are limited means of obtaining group support regarding childcare, alleviating parental isolation is also a crucial issue.

[0737] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0738] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results; and means for managing the child's vaccination schedule and sending automatic reminders to the parent's control device. This enables parents to obtain the latest and most accurate childcare information and to efficiently manage their child's growth.

[0739] A "parent's control device" is a device used by a parent to input and receive information, and includes devices such as smartphones, tablets, and home robots.

[0740] A "highly reliable information infrastructure" is an information system that collects and stores the latest and most accurate data related to childcare, and makes it accessible as needed.

[0741] "Growth data" refers to a variety of data related to a child's development, such as their age, height, weight, motor skills, and language ability.

[0742] "Standard developmental indicators" are statistical data or indicators used as criteria for the growth and development of typical children.

[0743] An "automatic reminder" is a feature that automatically sends notifications to the user when a specific appointment or event is approaching.

[0744] "Group function" refers to a function that facilitates online or offline interaction so that parents can exchange opinions and seek advice from other parents.

[0745] A "sensor" is a device used to detect the state of the environment or an object and acquire information, and includes cameras, microphones, and other similar devices.

[0746] "Sound and display devices" are devices that convey information to users visually or audibly.

[0747] "Image processing technology" is a technique that analyzes information from still images and videos acquired by cameras and other devices to make specific decisions.

[0748] This embodiment demonstrates how a system for childcare support can be used in the home. The main components of the system include a parent control device, a server, multiple sensors, and a display device.

[0749] First, the parent's control device consists of a smartphone, tablet, or home robot, and is used to input and receive information related to childcare. This device can communicate with a server and send and receive data about the child's age and development.

[0750] The server analyzes received data based on a reliable information infrastructure and provides appropriate childcare information. The server includes technology to compare standard developmental indicators with growth data and notify parents of the analysis results via their control devices. It can also automatically send vaccination schedule reminders to parents' devices. Furthermore, it manages information exchange among parents through community features.

[0751] The sensors record a child's growth non-contact and assess their developmental status. For example, they can use cameras to periodically measure a child's height and movements, and use image processing technology to track their growth.

[0752] Display devices and voice assistants are used as a means of providing parents with childcare information in real time. For example, if a parent asks, "What toys are suitable for a 6-month-old child?", the device sends a prompt to a server, which then returns relevant information.

[0753] A concrete example of a prompt message is, "Please tell me about toys and ways to play with a baby who is [age] months old." This allows parents to immediately obtain the information they need.

[0754] In this way, it is possible to reduce the burden of childcare on parents and support more efficient and effective parenting.

[0755] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0756] Step 1:

[0757] The user enters the child's age and developmental information into the parent's control device. The entered information, such as age and developmental stage, is then transmitted from the device to the server.

[0758] Step 2:

[0759] The server analyzes the received child's age and developmental information using a reliable information infrastructure. It searches the database, extracts appropriate childcare information, and uses a generative AI model based on prompt messages to find information suitable for the parents. This information includes childcare advice and suggestions for appropriate toys.

[0760] Step 3:

[0761] The server transmits the analysis results to the parent's control device. The output information includes appropriate childcare information and advice, which the user can access through a display device or voice assistant.

[0762] Step 4:

[0763] The user inputs growth data into the device. The device sends this data to a server, which then performs growth analysis by comparing this data with standard developmental indicators.

[0764] Step 5:

[0765] The server notifies the parent's control device of the comparison results. This notification indicates how close the child's growth is to the standard and suggests consulting a specialist if necessary.

[0766] Step 6:

[0767] Sensors record a child's growth non-contactually. This record includes images and videos taken by cameras, and image processing technology is used to determine the child's growth status.

[0768] Step 7:

[0769] The server manages the child's vaccination schedule, automatically sends reminders at appropriate times, and transmits them to the parent's device. This allows users to stay informed about vaccination schedules in a timely manner.

[0770] Step 8:

[0771] Users exchange information with other users using the community feature. Posts from parent control devices are managed by the server, and relevant information is distributed appropriately.

[0772] This process allows users to efficiently obtain childcare information and support their children's growth and health.

[0773] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0774] The present invention is a system for supporting parents' childcare activities, and aims to provide more personalized childcare support by combining it with an emotion engine. Specific embodiments are described below.

[0775] Embedding an emotion engine

[0776] When a user uses the service through their device, the device sends voice and text input data to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. This process allows the server to tailor the provision of childcare information based on the user's emotional state.

[0777] Providing childcare information tailored to individual emotions

[0778] The server can customize the content and presentation of parenting information based on the user's emotional state received from the emotion engine. For example, if the server determines that the user is feeling anxious or stressed, it will send parenting advice that includes calming information and encouraging messages. Conversely, if the server determines that the user is calm, it can suggest more academic information or challenging tasks.

[0779] Recording and analysis of emotional data

[0780] The user's emotional state is stored in a database along with the history of each piece of childcare information provided, which is useful for long-term analysis. This continuous recording allows the server to track changes in emotions over time and evolve the support provided to match the user's childcare style and needs.

[0781] To give a specific example, if a user inputs anxiety about their child's nighttime crying, and the audio recording includes an anxious tone, the emotion engine determines that the user is experiencing stress. Based on this information, the server suggests relaxation techniques and family activities that can be done on weekends, thereby reducing the user's anxiety and supporting their emotional well-being. In this way, utilizing the emotion engine enables more detailed and personalized childcare support.

[0782] The following describes the processing flow.

[0783] Step 1:

[0784] Users access the device and input information about their children and questions about childcare in voice or text format.

[0785] Step 2:

[0786] The device converts user input into a data format and prepares it to send voice and text data to the emotion engine.

[0787] Step 3:

[0788] The emotion engine analyzes data received from the device to determine the user's emotional state. For example, it can determine whether the user is stressed or calm based on their tone of voice and word choice.

[0789] Step 4:

[0790] The server receives the emotion assessment results from the emotion engine, searches the childcare information database based on that information, and selects the advice and information that is most appropriate for the user's emotional state.

[0791] Step 5:

[0792] The server generates user-optimized content in text or audio format based on the selected childcare information. For example, it might suggest relaxation methods to stressed users and detailed childcare techniques to calm users.

[0793] Step 6:

[0794] The server sends the generated information and advice to the user's terminal.

[0795] Step 7:

[0796] The device notifies the user of the received information and displays it visually or audibly.

[0797] Step 8:

[0798] The server records user emotional data along with the provided childcare information in a database, which will be used for later analysis and continuous service improvement.

[0799] This process is repeated to provide childcare support tailored to the user's emotions and to ensure that individual needs are met.

[0800] (Example 2)

[0801] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0802] Parents face numerous challenges in child-rearing, and there is a need for appropriate and flexible information tailored to individual needs. However, many existing systems fail to consider the user's emotional state or long-term emotional data, and are limited to providing general information. As a result, parents have difficulty receiving specific support to alleviate stress and anxiety.

[0803] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0804] In this invention, the server includes means for analyzing data received from the parent's information processing device and providing childcare information, means for analyzing the parent's emotional state and providing adjusted childcare information, and means for recording and analyzing emotional data over a long period of time to improve childcare support. This enables individualized responses based on the user's emotions, making it possible to provide more personalized childcare support.

[0805] An "information processing device" is a device that allows a user to input or receive data and transmit that data to an external system; this includes computers, smartphones, and tablets.

[0806] An "information recording medium" is a medium for storing and keeping data in a searchable format, and includes databases and cloud storage.

[0807] "Analysis" is the process of thoroughly examining received data, understanding its contents, and classifying them, and is carried out using algorithms and statistical methods.

[0808] "Attention-seeking" refers to notification functions that prompt users to take specific actions, and includes reminders and notifications that are automatically sent based on a schedule.

[0809] "Group functions" refer to features that allow multiple users to share information and communicate with each other, such as forums and chat groups.

[0810] "Emotional state" refers to the user's psychological condition and includes emotional information analyzed from voice and text input.

[0811] "Adjusted parenting information" refers to parenting advice and information that is tailored to the user's emotional state and individual needs.

[0812] "Sentimental data" refers to a collection of data that includes information related to users' emotions, and is used to analyze long-term changes and trends.

[0813] This invention is an information processing system for supporting parents' childcare activities, and aims to provide personalized childcare information tailored to the individual needs of each user by incorporating an emotion analysis engine.

[0814] When a user uses this system through an information processing terminal, the terminal accepts voice and text input. This input utilizes the microphone, keyboard, and touchscreen of a smartphone or tablet. The terminal sends voice and text data to the server. This communication is conducted via the Internet Protocol and is securely encrypted.

[0815] The server passes the received data to the sentiment analysis engine, which then applies natural language processing and speech emotion recognition technologies to analyze the user's emotional state. Specific software tools used include natural language processing libraries and speech analysis tools. The program is written in Python, and libraries such as NLTK are particularly useful for data analysis.

[0816] Based on the results of the emotion analysis, the server retrieves childcare information from the database that corresponds to the parent's emotional state and sends it to the terminal. This allows the user to receive appropriate and tailored information in real time. For example, if the user enters a prompt such as, "Please tell me some ways to relax when my child cries at night," the server will suggest relaxation techniques and activities that the family can enjoy on the weekend.

[0817] Furthermore, the server records user emotional data over long periods and stores it in a database along with the history of childcare support provided. This data helps analyze trends and evolve support in response to changes in the user's childcare style and emotions. A highly accurate database management system underpins this process, utilizing database technologies such as SQL and NoSQL.

[0818] Thus, the present invention realizes personalized childcare support based on emotion analysis and comprehensively supports parents' childcare activities.

[0819] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0820] Step 1:

[0821] Users use an information processing terminal to input questions and consultations about childcare via voice or text. For example, a user might speak into their smartphone's microphone, saying, "Please tell me some ways to relax when my child cries at night." The input data is captured as digital voice data via the microphone and converted into text data by the terminal's text conversion system.

[0822] Step 2:

[0823] The device sends the acquired voice or text data to the server. Here, the input text data is encrypted and sent to the server via the internet. This process outputs the input data as request data to the server, preparing it for sentiment analysis.

[0824] Step 3:

[0825] The server analyzes the received text data and passes it to the sentiment analysis engine. The sentiment analysis engine uses a natural language processing library to determine the user's emotional state. The input data is in text format, and the analysis identifies whether the user is experiencing anxiety, joy, stress, etc. The output of this process is the user's emotional state identification result.

[0826] Step 4:

[0827] Based on the results of the emotion analysis, the server searches and selects corresponding childcare information from the database. The retrieved data is childcare information that matches the user's emotional state. For example, if the analysis result is determined to be "stress," information on relaxation techniques and suggested activities for stress reduction will be selected. This results in appropriately adjusted childcare information being output.

[0828] Step 5:

[0829] The server sends the selected childcare information to the terminal. The selected childcare information is sent to the user's terminal via the internet. In this process, the output data is visually displayed to the user through the terminal's user interface.

[0830] Step 6:

[0831] The server records emotional data exchanged between the user and the system, as well as childcare information provided, in a database. This recorded data will be used for future analysis and service improvements. Specifically, emotional states and related childcare information are stored in the database using technologies such as SQL.

[0832] (Application Example 2)

[0833] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0834] In childcare and elder care, there is a challenge in providing appropriate support information quickly and effectively, tailored to the individual emotional state of each person. In particular, there is a need to reduce the anxiety and stress experienced by those providing childcare and elder care, and to provide better support.

[0835] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0836] In this invention, the server includes means for providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's terminal; means for analyzing the received growth data, comparing it with standard developmental indicators, and notifying the parent's terminal of the results; and means for analyzing the caregiver's emotional state using an emotion engine and generating information and support messages accordingly. This enables accurate support and information provision tailored to each individual's emotional state.

[0837] A "terminal" is an electronic device used for inputting and outputting information, and can be used by parents or caregivers.

[0838] "Age" is a numerical value that indicates the time elapsed since birth, and it is a standard used to customize childcare information and developmental indicators.

[0839] "Developmental information" refers to data about the growth and health status of children and those receiving care, and is used to determine appropriate support and advice.

[0840] A "database" is a storage device that holds reliable information related to childcare and elder care, and is referenced to provide users with appropriate information.

[0841] "Growth data" refers to data about the growth process of children or those receiving care, and is used to compare with standard developmental indicators.

[0842] "Standard developmental indicators" are generally accepted criteria for growth and development, used as a point of comparison when evaluating individual circumstances.

[0843] An "immunization schedule" is a planned schedule of vaccinations designed to maintain the health of children and those receiving care, and managing this schedule is a means of supporting health.

[0844] An "automatic reminder" is a feature that sends notifications to a device to remind the user of important appointments or tasks.

[0845] The "community function" is a feature that allows users to exchange information, seek advice, and exchange opinions with other users.

[0846] An "emotion engine" is a processing device that analyzes a user's emotional state from input data and is used to provide information tailored to the user's needs.

[0847] A "caregiver" is a person who provides care for a person receiving care, and in the context of childcare support, this may refer to a parent or guardian.

[0848] "Support messages" are pieces of advice and encouragement generated according to the user's situation and emotional state, and their role is to support the user.

[0849] The system realizing this invention consists of a user terminal, a server, and an emotion engine. Users can use a terminal such as a smartphone to input information related to childcare or elder care and receive appropriate support. The terminal accepts voice and text input and transmits the input data to the server.

[0850] The server runs on a high-performance computer platform and sends voice and text data received from the user to the emotion engine. The emotion engine analyzes this data to identify the user's emotional state. For emotion analysis, Python emotion analysis libraries such as TextBlob and NLTK are used, which makes it possible to generate childcare or caregiving information based on the user's emotional state.

[0851] Based on the analyzed emotional state, the server selects appropriate childcare and caregiving information from the database and generates customized support messages. This allows the server to suggest relaxation methods when the user is feeling stressed or anxious, and to encourage new challenges when the user is calm. These messages are sent to the device and displayed to the user.

[0852] For example, if a user enters "I'm worried because my child cries at night," the emotion engine identifies the anxiety from the tone, and the server generates a message suggesting relaxation techniques and recreational activities that can be done with family. This allows users to reduce their mental burden and practice more appropriate childcare or eldercare.

[0853] An example of a prompt might be, "Identify the user's emotions from their input and generate a corresponding care support message." This would allow the generating AI model to function properly and provide more empathetic support to the user.

[0854] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0855] Step 1:

[0856] Users input questions and information related to childcare and elder care into the device via voice or text. The input data is natural language information that may include emotions and is transmitted from the device to the server.

[0857] Step 2:

[0858] The server forwards the voice or text data received from the user to the emotion engine for analysis. This process involves natural language processing of the input data and the identification of the user's emotional state using an emotion analysis library (e.g., TextBlob or NLTK). As a result, the emotional state is output as a specific condition such as "anxious" or "calm."

[0859] Step 3:

[0860] The server, based on the emotional state received from the emotion engine, sends a prompt to the AI ​​model that generates information by referencing a database to select appropriate childcare or caregiving information. In this process, information suitable for the emotional state is searched and output to generate personalized advice or messages.

[0861] Step 4:

[0862] The generative AI model utilizes prompts to generate customized messages tailored to the user's emotional state. Here, the generative AI model constructs natural-sounding sentences based on information extracted from a database. Supportive messages appropriate to a specific emotional state are output.

[0863] Step 5:

[0864] The server sends the generated customized message to the user's device. The device displays the received message to the user, providing specific advice on childcare and elder care. As a result, the user can quickly access useful information.

[0865] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0866] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0867] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0868] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0869] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0870] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0871] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0872] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0873] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0874] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0875] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0876] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0877] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0878] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0879] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0880] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0881] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0882] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0883] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0884] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0885] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0886] The following is further disclosed regarding the embodiments described above.

[0887] (Claim 1)

[0888] A means of providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's device,

[0889] A means of analyzing received growth data, comparing it to standard developmental indicators, and notifying the results to the parent's device,

[0890] A means to manage a child's vaccination schedule and send automatic reminders to the parent's device,

[0891] A means of providing a community function for parents to exchange information and seek advice from other parents,

[0892] A system that includes this.

[0893] (Claim 2)

[0894] The system according to claim 1, which analyzes information about a child's poor health received from the parent's device and proposes appropriate initial response.

[0895] (Claim 3)

[0896] The system according to claim 1, which uses image recognition technology to determine a child's developmental status from a photograph and notifies the parent's device.

[0897] "Example 1"

[0898] (Claim 1)

[0899] A means of providing appropriate childcare guidance by referring to an advanced database based on the child's age and developmental information received from the parent's information processing device,

[0900] A means for analyzing received growth data, comparing it with standard developmental criteria, and transmitting the analysis results to the parent's information processing device,

[0901] A means for managing children's vaccination schedules and sending automatic notifications to parents' information processing devices,

[0902] A means of providing a platform for parents to exchange knowledge and seek advice from other parents,

[0903] A means of providing appropriate parenting advice using a generative AI model when parents input questions about their child's development using a device,

[0904] A system that includes this.

[0905] (Claim 2)

[0906] The system according to claim 1, which analyzes information on the child's health status received from the parent's information processing device and provides guidance for appropriate initial response.

[0907] (Claim 3)

[0908] The system according to claim 1, which uses image recognition technology to determine the child's growth status from an image and notifies the parent's information processing device.

[0909] "Application Example 1"

[0910] (Claim 1)

[0911] A means of providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device,

[0912] A means for analyzing received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results,

[0913] A means for managing a child's vaccination schedule and sending automatic reminders to the parent's control device,

[0914] A means of providing a group function for parents to exchange information and seek advice from other parents,

[0915] A means of recording a child's growth non-contactually using sensors and determining their developmental status,

[0916] A means of providing childcare information in real time through voice and display devices,

[0917] A system that includes this.

[0918] (Claim 2)

[0919] The system according to claim 1, which analyzes information on the child's health status received from the parent's control device and proposes an appropriate initial response.

[0920] (Claim 3)

[0921] The system according to claim 1, which uses image processing technology to determine the child's growth status from video footage and notifies the parent's control device.

[0922] "Example 2 of combining an emotion engine"

[0923] (Claim 1)

[0924] A means for providing appropriate childcare information by referring to a high-precision information recording medium based on the child's age and developmental information received from the parent's information processing device,

[0925] A means for analyzing received growth data, comparing it with standard developmental indicators, and notifying the parent's information processing device of the results,

[0926] A means for managing children's vaccination schedules and sending automated alerts to parents' information processing devices,

[0927] A means of providing a group function for parents to exchange information and consult with other parents,

[0928] A means of analyzing parents' emotional states and providing adjusted parenting information,

[0929] A means of recording and analyzing emotional data over a long period of time to advance childcare support,

[0930] A system that includes this.

[0931] (Claim 2)

[0932] The system according to claim 1, which analyzes information about a child's poor health received from a parent's information processing device and proposes appropriate initial response.

[0933] (Claim 3)

[0934] The system according to claim 1, which uses image recognition technology to determine the developmental status of a child from a photograph and notifies the parent's information processing device.

[0935] "Application example 2 when combining with an emotional engine"

[0936] (Claim 1)

[0937] A means of providing appropriate childcare information by referring to a reliable database based on the child's age and developmental information received from the parent's device,

[0938] A means of analyzing received growth data, comparing it to standard developmental indicators, and notifying the results to the parent's device,

[0939] A means to manage a child's vaccination schedule and send automatic reminders to the parent's device,

[0940] A means of providing a community function for parents to exchange information and seek advice from other parents,

[0941] A means of analyzing the emotional state of caregivers using an emotion engine and generating information and support messages accordingly,

[0942] A system that includes this.

[0943] (Claim 2)

[0944] The system according to claim 1, which analyzes information about a child's poor health received from the parent's device and proposes appropriate initial response.

[0945] (Claim 3)

[0946] The system according to claim 1, which uses image recognition technology to determine a child's developmental status from a photograph and notifies the parent's device. [Explanation of Symbols]

[0947] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of providing appropriate childcare information by referring to a reliable information infrastructure based on the child's age and developmental information received from the parent's control device, A means for analyzing received growth data, comparing it with standard developmental indicators, and notifying the parent's control device of the results, A means for managing a child's vaccination schedule and sending automatic reminders to the parent's control device, A means of providing a group function for parents to exchange information and seek advice from other parents, A means of recording a child's growth non-contactually using sensors and determining their developmental status, A means of providing childcare information in real time through voice and display devices, A system that includes this.

2. The system according to claim 1, which analyzes information on the child's health status received from the parent's control device and proposes an appropriate initial response.

3. The system according to claim 1, which uses image processing technology to determine the child's growth status from video footage and notifies the parent's control device.

Images