system

Abstract

A system is provided.SOLUTION: A terminal for a user to input a question or a problem related to childcare, a server that receives the input from the user and analyzes the input by a natural language processing technology, a means that generates customized advice based on the analyzed input by using an artificial intelligence engine connected to the server, a means that transmits the generated advice and feedback including a proposal related to a childcare activity or a childcare support service to the terminal, and a means that generates and provides a link of an EC site where a user can purchase a necessary article based on the advice; A system comprising: means for monitoring safety of a child by using an Internet of Things (IoT) device connected via the Internet; and means for monitoring location information and health condition data of the child acquired from the IoT device in real time, generating an alert when an anomaly is detected, and transmitting the alert to a terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Parents raising children, especially those raising children for the first time, face a lack of information about childcare, a lack of connections with the local community, and concerns about their children's safety. As a result, childcare becomes stressful and it is difficult to receive the necessary support and advice in a timely manner. A comprehensive system is needed to solve these problems and enable parents to approach childcare with peace of mind. [Means for solving the problem]

[0005] The present invention provides a terminal for a user to input questions and issues about childcare, and a server that receives the user's input and analyzes it using natural language processing technology. The system further includes a means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server. The system also includes a means for transmitting the generated advice and suggestions for childcare activities and childcare support services to the terminal, and for generating and providing links to e-commerce sites where the user can purchase necessary items based on the advice. The above-mentioned problems are solved by a system that includes a means for monitoring children's safety using IoT devices connected via the Internet, monitoring the acquired child's location information and health status data in real time, and generating and sending an alert to the terminal if an abnormality is detected.

[0006] A "terminal" is an electronic device that allows a user to input questions or tasks related to childcare and receive the results.

[0007] A "server" is a central aggregation unit that receives input from users, analyzes it, and generates appropriate parenting advice and suggestions.

[0008] An "artificial intelligence engine" is a software component that uses natural language processing techniques to analyze user input and generate customized parenting advice.

[0009] "Customized advice" is specific parenting advice or suggestions that are individually generated based on specific inputs from the user.

[0010] "Parenting activities and support services" refers to local community activities, expert advice and support services to assist parents in raising children.

[0011] "Feedback" is the process by which the server generates advice or suggestions and sends them to the user's device to provide information to the user.

[0012] The "EC site link" is information connecting to a web page that allows the user to purchase the necessary childcare products online.

[0013] An "IoT device" is a hardware device that is connected to a server via the Internet and collects information on a child's location and health status in real time.

[0014] "Real-time monitoring" refers to the process of instantly analyzing acquired data and responding immediately if any abnormalities occur.

[0015] An "alert" is a warning message sent to a user's terminal when an abnormality is detected. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a 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.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0030] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also uses IoT devices to monitor children's safety and sends alerts to users in the event of an abnormality. The operation of this system is described in detail below.

[0038] Explaining program processing in natural language

[0039] User questions and issues

[0040] Users (parents) access the system using smartphones or PCs. Through these devices, they input specific questions and issues about childcare in text format using messaging apps such as LINE or a dedicated web app. This input data is sent to a server via the Internet.

[0041] Server-based information analysis and generation of customized advice

[0042] The server receives input data from users and passes it to an internal AI engine. The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the analysis, it then generates customized advice and suggestions, including parenting tips, specific strategies, and recommended activities and services.

[0043] Proposals for activities and services

[0044] Based on the generated advice, the server further provides users with information on childcare community events they should participate in and available local childcare support services. It also generates links to related e-commerce sites so that users can easily purchase the childcare products they need. This allows users to obtain the information and products they need in one place within the system.

[0045] Providing feedback to users

[0046] The advice and suggestions generated by the server are then sent back to the user's device, where they are displayed in a format that can be viewed immediately by the user. The user can then use the advice to improve their childcare routine, and if necessary, purchase products or participate in events using the provided links.

[0047] Child safety monitoring using IoT technology

[0048] Users attach an IoT device to their child to monitor their safety. This device sends the child's location and health status in real time to a server. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user can receive this alert and take prompt action.

[0049] Specific examples

[0050] Example 1: Question about night crying

[0051] The user enters a question such as "My child won't stop crying at night." The server passes this question to an artificial intelligence engine, which then generates "measures to combat nighttime crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. Information about nearby childcare consultation events and links to products specifically advertised for the white nights are also provided. Users can take measures based on this information.

[0052] Example 2: Child Safety Monitoring

[0053] The location information of children wearing IoT devices is sent to a server in real time. If the child goes outside a set area or shows signs of illness, the server instantly sends an alert to the user's device. The user receives the alert and can take immediate action. This ensures the safety of children.

[0054] This system is designed to address the various challenges parents face while raising their children, allowing them to focus on raising their children with peace of mind.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] Users will use their smartphones or PCs to input questions and issues about childcare, and may use messaging apps like LINE or dedicated web applications.

[0058] Step 2:

[0059] The terminal transmits the input data to a server via the Internet, where the data is converted into an appropriate format and transmitted as a request to the server.

[0060] Step 3:

[0061] The server formats the received data before sending it to the natural language processing engine, primarily to remove unnecessary information and convert it into a format that is easier to parse.

[0062] Step 4:

[0063] The server then passes the formatted data to an internal AI engine, which uses natural language processing technology to analyze the user's question or issue and extract key keywords and related information.

[0064] Step 5:

[0065] Based on the extracted keywords, the artificial intelligence engine references a childcare database and existing advice resources to generate customized advice.

[0066] Step 6:

[0067] The server compiles the generated advice with information on related childcare activities and local childcare support services, etc. It also collects product information from e-commerce sites as needed and generates links that allow users to easily purchase the product.

[0068] Step 7:

[0069] The server sends the compiled advice and suggestions to the user's device, where the information is presented in a format that the user can easily review.

[0070] Step 8:

[0071] Users can check the advice and suggestions displayed on their device and take action based on them, and can also use the provided links to purchase necessary items or access childcare support services.

[0072] Step 9:

[0073] To monitor their children's safety, users prepare an IoT device and attach it to their child, which then collects information on the child's location and health status in real time.

[0074] Step 10:

[0075] IoT devices send the collected data to a server, which monitors the data and checks for any anomalies.

[0076] Step 11:

[0077] The server immediately generates an alert message and sends it to the user's device if an abnormality is detected, including when the user moves out of the location information range.

[0078] Step 12:

[0079] The terminal receives the alert message and promptly notifies the user, who can then take the necessary action promptly based on the alert.

[0080] In this way, the system provides users with comprehensive support to quickly resolve childcare-related questions and issues and ensure the safety of their children.

[0081] Example 1

[0082] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0083] In modern childcare, parents are required to access numerous information sources and support services, but it can be challenging to use them effectively. They also need a system that can monitor their child's safety in real time and respond quickly to emergencies. Traditional systems lack comprehensive solutions to address these challenges. Therefore, there is a need for a system that provides customized advice for parenting questions and challenges, as well as integrated child safety monitoring capabilities.

[0084] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0085] In this invention, the server includes means for analyzing user questions and issues using natural language processing technology, means for generating customized advice based on the analysis results, means for transmitting the generated advice and suggestions to the user terminal, and means for monitoring child safety using IoT devices connected via the Internet. This makes it possible to address various child-rearing issues, provide customized advice, and monitor child safety in real time.

[0086] A "terminal" is a device that a user uses to input questions and tasks related to childcare, and includes, for example, a smartphone or a personal computer.

[0087] A "user" is an individual who utilizes the system to input parenting questions and challenges and receive customized advice and suggestions.

[0088] A "server" is a central data processing unit that receives input data from users, analyzes and processes it, and generates customized advice and suggestions.

[0089] "Natural language processing technology" is a technology used to analyze text data entered by a user and understand its meaning.

[0090] An "artificial intelligence engine" is a software engine for generating customized advice and suggestions based on data analyzed using natural language processing techniques.

[0091] "Feedback" is server-generated response information to the user, including advice and suggestions, and information about parenting activities and parenting support services.

[0092] An "e-commerce site" is a website through which users can purchase childcare related items over the Internet.

[0093] An "IoT device" is an internet-connected device that monitors a child's location and health status in real time and sends that data to a server.

[0094] "Location information" is data that indicates the child's current location.

[0095] "Health status data" refers to data related to a child's physical condition and health, including, for example, heart rate and body temperature.

[0096] An "alert" is a warning message sent to the user when the server detects an abnormality.

[0097] The present invention is a system that includes a terminal for users to input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also has a function that uses IoT devices to monitor children's safety and notify users with an alert in the event of an abnormality.

[0098] System Overview

[0099] User questions and issues

[0100] Users (parents) access the system using a smartphone or personal computer. They use messaging apps like LINE or a dedicated web app to enter specific questions and issues about childcare in text format. This input data is sent to a server via the Internet.

[0101] Server-based information analysis and generation of customized advice

[0102] The server receives the input data sent by the user and passes it to an internal AI engine (e.g., GPT-3). The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the results, it generates customized advice including parenting tips and specific countermeasures.

[0103] Proposals for activities and services

[0104] Based on the generated advice, the server provides users with information on childcare community events and local childcare support services, and also generates links to related e-commerce sites so that users can purchase the necessary items. This allows users to obtain the necessary information and items all at once through the system.

[0105] Providing feedback to users

[0106] The server sends the generated advice and suggestions to the user's device, which then displays the received information in a format that the user can view immediately. The user can then use the advice to take care of their child, and if necessary, purchase products or participate in events using the provided links.

[0107] Child safety monitoring using IoT technology

[0108] To monitor their safety, users attach an IoT device to their children. This device sends the child's location and health status to a server in real time. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user receives this alert and can respond quickly to ensure the safety of their child.

[0109] Specific examples

[0110] Example 1: Question about night crying

[0111] The user enters a question such as "My child won't stop crying at night." The server sends this question to an artificial intelligence engine, which generates "measures to combat night crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. The service also provides information about nearby childcare consultation events and links to products to combat night crying. Users can take measures based on this information.

[0112] Example 2: Child Safety Monitoring

[0113] The location information of children wearing IoT devices is sent to a server in real time. If the child leaves a designated area or shows signs of illness, the server immediately sends an alert to the user's device. The user receives the alert and can take immediate action to ensure the safety of their child.

[0114] Prompt Sentence Examples

[0115] 1. Type your question: "My child cries a lot at night. What should I do?"

[0116] 2. IoT Monitoring Notifications: "Set up an alert when your child leaves a designated area."

[0117] This system is designed to provide optimal support for the various challenges parents face while raising children.

[0118] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0119] Step 1:

[0120] User input of questions and issues

[0121] 1. Users access the system using a smartphone or personal computer.

[0122] 2. Users open LINE or a dedicated web app and enter their childcare-related questions or issues in text format.

[0123] Input: Text data entered by the user (e.g., "My child won't stop crying at night")

[0124] Output: The input data is sent to a server over the internet.

[0125] Step 2:

[0126] Receiving and analyzing information by the server

[0127] 1. The server receives the text data sent from the user's device.

[0128] 2. The server passes the received text data to an internal artificial intelligence engine (e.g., GPT-3).

[0129] Input: Text data sent by the user

[0130] Output: Text data to be analyzed and passed to the AI ​​engine

[0131] Step 3:

[0132] Natural language processing using an artificial intelligence engine

[0133] 1. The AI ​​engine uses natural language processing technology to analyze input data and understand the user's intent.

[0134] 2. Generate customized advice, such as parenting tips and coping strategies, based on the analysis results.

[0135] Input: Text data to be analyzed

[0136] Output: Customized advice generated (e.g., "Use white noise to combat night crying")

[0137] Step 4:

[0138] Server-based related information suggestions

[0139] 1. Based on the generated advice, the server searches for information on childcare community events and local childcare support services.

[0140] 2. The server generates a link to the relevant e-commerce site and provides a purchase page for the relevant item.

[0141] Input: Customized advice generation results

[0142] Output: Event information, childcare support service information, e-commerce site links

[0143] Step 5:

[0144] Providing feedback to user devices

[0145] 1. The server generates advice, suggestions, and links and sends them to the user's device.

[0146] 2. The terminal displays the received information in a form that can be immediately viewed by the user.

[0147] Input: Advice, suggestions, and links from the server

[0148] Output: Parenting advice and related information displayed on the user's device

[0149] Step 6:

[0150] User-configured IoT monitoring

[0151] 1. The user attaches an IoT device to their child to monitor their safety.

[0152] 2. The IoT device sends real-time information about the child's location and health status to a server.

[0153] Input: IoT device attached to child

[0154] Output: Real-time location and health data sent to a server

[0155] Step 7:

[0156] Server-based child safety monitoring and alert generation

[0157] 1. The server continuously monitors location and health status data obtained from IoT devices.

[0158] 2. If an abnormality is detected, the server immediately generates an alert message and notifies the user's device.

[0159] Input: Real-time data sent from IoT devices

[0160] Output: Alert message in case of abnormality

[0161] At each step, it specifically shows how the server, terminal, and user work together and how the childcare support system functions through the input and output of information.

[0162] (Application example 1)

[0163] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0164] In modern child-rearing, there are many ways to obtain information and solve problems, but it is difficult for parents to obtain prompt and appropriate advice. Furthermore, there are limited systems for monitoring children's safety in real time and responding immediately if an abnormality occurs. There is a particular need for interfaces that allow parents busy with child-rearing activities to respond quickly, and for robots to be used as a familiar means of communication.

[0165] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0166] In this invention, the server includes a terminal for a user to input questions and challenges about childcare, means for receiving the input from the user and analyzing the input using natural language processing technology, means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server, means for sending feedback to the terminal including the generated advice and suggestions for childcare activities and childcare support services, means for generating and providing links to e-commerce sites where the user can purchase necessary items based on the advice, means for monitoring child safety using IoT devices connected via the Internet, means for monitoring child location information and health status data obtained from the IoT devices in real time and generating and transmitting an alert to the terminal if an abnormality is detected, means for accepting user questions using a voice input function in the terminal, means for providing the generated advice to the user using a voice output function in the terminal, and means for the robot to monitor the child's condition using a camera and various sensors and issue a voice warning if an abnormality is detected. This allows parents to easily seek advice about childcare and ensures child safety in real time.

[0167] "Questions and challenges related to child rearing" refers to problems and doubts that parents and guardians encounter while raising their children.

[0168] A "terminal" is a device through which a user inputs a question or task, and includes, for example, a smartphone, tablet, PC, or robot.

[0169] "Analyzing input using natural language processing techniques" refers to techniques used to analyze and extract meaning from a user's text or voice input.

[0170] "Server" refers to a central computing device that receives and analyzes input data from users.

[0171] An "artificial intelligence engine" refers to algorithms and models that are connected to a server and analyze input data to generate customized advice.

[0172] The means for generating "customized advice" refers to a function that provides appropriate advice based on the user's specific situation and needs.

[0173] "Means for sending feedback" refers to a method for communicating server-generated advice and suggestions to the user.

[0174] "Means for generating and providing links to e-commerce sites" refers to a function for generating links to online stores where users can purchase the products they need and providing them to users.

[0175] "Methods of monitoring child safety using IoT devices" refers to methods of monitoring children's condition using sensors and devices connected to the Internet.

[0176] "Real-time monitoring of location and health data" refers to methods for continuously tracking a child's current location and health status and immediately detecting any abnormalities.

[0177] "Means for generating an alert and sending it to the terminal" refers to a function that generates a warning message and sends it to the user's terminal when an abnormality is detected.

[0178] "Means for accepting user questions using a voice input function" refers to a method in which a user can input a question by voice and convert it into text data.

[0179] "Means for providing advice generated using a voice output function" refers to a method in which advice generated by the server is converted into voice and conveyed to the user.

[0180] "Means for monitoring children's condition using cameras and various sensors" refers to methods for checking children's safety in real time using cameras and sensors for heart rate, temperature, etc.

[0181] "Means for issuing a voice warning" refers to a function that warns the user by voice when an abnormality in the child is detected.

[0182] Overall system configuration

[0183] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and provides appropriate advice, and an IoT device for monitoring children's safety. The terminal can be a smartphone, tablet, PC, or robot, and is the device with which the user directly interfaces. The server plays a central role in analyzing data and generating advice. The IoT device monitors the child's condition in real time and generates an alert if an abnormality occurs.

[0184] Specific examples of program processing

[0185] 1. Enter your question or problem and generate advice

[0186] Users use the device to input questions or challenges related to childcare. This input is done using the voice input function and converted into text data using a voice input API (such as Google Speech-to-Text). The text data is sent to a server via the internet. On the server side, the text data is analyzed using natural language processing technology, and customized advice is generated by an internal artificial intelligence engine (such as GPT-4). The generated advice is converted into audio data using a Text-to-Speech API (such as Google Text-to-Speech) and sent to the device. The user can receive the advice through the robot's voice output function.

[0187] 2. Child Safety Monitoring

[0188] The robot is equipped with a camera and various sensors (temperature, heart rate, etc.) to monitor the child's condition in real time. These devices continuously send the child's location and health status data to a server. If the server detects an abnormality, it generates an audio alert and notifies the user via the robot.

[0189] Hardware and software used

[0190] Hardware

[0191] Audio input microphone

[0192] camera

[0193] Various sensors such as temperature sensors and heart rate sensors

[0194] speaker

[0195] Network Connectivity Module

[0196] software

[0197] Google Speech-to-Text API (converts voice input data into text data)

[0198] GPT-4 (uses a natural language processing engine to generate customized advice)

[0199] Google Text-to-Speech API (converts text data into audio data)

[0200] Specific examples

[0201] Questions about night crying

[0202] When a user voices a question such as "My child won't stop crying at night," the voice input API converts the question into text and sends it to the server. GPT-4 on the server generates advice such as "hold your child and rock them" or "use white noise" as a solution to night crying. This is converted into voice data, and the robot tells the user, "Try holding your child and rocking them gently."

[0203] Prompt Sentence Examples

[0204] What to do if your child has a fever

[0205] In this way, the system of the present invention makes it easy for parents and guardians to receive voice advice regarding child rearing, and also makes it possible to ensure the safety of children in real time.

[0206] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0207] Step 1:

[0208] The voice input function of the device is used by users to input questions and issues about childcare by voice. Specifically, a parent asks the robot, "My child won't stop crying at night," and this voice is input into the microphone.

[0209] Step 2:

[0210] The device sends the input voice data to the Google Speech-to-Text API, which converts the voice into text data. Here, the input is voice data, and the output is text data. Specifically, the voice "My child won't stop crying at night" becomes the text "My child won't stop crying at night."

[0211] Step 3:

[0212] The terminal transmits the converted text data to a server via the Internet. The input is the text data, and the output is the same text data transmitted to the server.

[0213] Step 4:

[0214] The server analyzes the received text data using natural language processing technology. A generative AI model (e.g., GPT-4) is used for this analysis. The input is text data, and the output is the intention and customized advice as the analysis result. Specific advice such as "hold the child and rock them" or "use white noise" is generated as the analysis result.

[0215] Step 5:

[0216] The server converts the generated advice into audio data using the Text-to-Speech API. The input is the text data of the customized advice, and the output is audio data. For example, "Hold your child and rock him" is converted into audio data.

[0217] Step 6:

[0218] The server sends audio data to the terminal. The input is the audio data, and the output is the sent audio data.

[0219] Step 7:

[0220] The device then transmits the received voice data to the user through a speaker. Specifically, the robot provides voice advice such as, "Try holding your child and rocking them gently."

[0221] Step 8:

[0222] The robot's onboard cameras and various sensors monitor the child in real time and send the data to a server. The input is data acquired from the sensors, and the output is real-time monitoring data, including the child's location, body temperature, heart rate, etc.

[0223] Step 9:

[0224] The server continuously analyzes the received monitoring data and generates an alert if an abnormality is detected. The input is the monitoring data and the output is an abnormality detection alert. For example, an alert is generated if a child's body temperature exceeds a set range.

[0225] Step 10:

[0226] The server sends the generated alert to the terminal. The input is the alert message and the output is the sent alert message.

[0227] Step 11:

[0228] The device will then notify the user of the received alert via voice, with the robot warning them that their child's temperature is too high.

[0229] The above are the processing steps of the system based on the present invention.

[0230] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0231] This invention is a system that recognizes a user's emotions and provides customized advice and feedback for questions and issues related to child-rearing. In particular, the system aims to reduce the user's mental stress and comprehensively enhance child-rearing support by using an emotion engine to analyze the user's emotions and further customize advice and suggestions based on the analysis results.

[0232] Explaining program processing in natural language

[0233] User questions and issues

[0234] Users input questions and issues about childcare using their smartphones or PCs. They can use messaging apps like LINE or a dedicated web application. At the same time, the input data is sent to an emotion engine, which analyzes the user's emotional information.

[0235] Emotion analysis using an emotion engine

[0236] The emotion engine analyzes specific emotions from the user's input text. The analysis results include information such as whether the user is feeling stressed or emotionally unstable. The analysis results are sent to the server and used for subsequent processing.

[0237] Server-based information analysis and generation of customized advice

[0238] The server receives the analyzed emotional information and the user's questions and issues and passes them to an internal AI engine. The AI ​​engine uses natural language processing technology to generate appropriate customized advice based on the analysis results, taking the user's emotional information into consideration. If the user is feeling stressed, the advice may also include relaxation methods to reduce stress and mental health support information.

[0239] Proposals for activities and services

[0240] Based on the generated advice, the server further provides the user with information on parenting community events that the user should participate in and available local parenting support services, as well as links to related e-commerce sites where the user can easily purchase the parenting products they need.

[0241] Providing feedback to users

[0242] The server generates advice and suggestions, which are then sent to the user's device, which receives the information and displays it in a format that the user can view immediately. The user can then use the advice to improve their childcare routine and purchase products or access services via the provided links.

[0243] Child safety monitoring using IoT technology

[0244] Users use IoT devices to monitor their children's location and health status in real time. The devices continuously send data to a server, which analyzes the data and monitors for abnormalities. If an abnormality is detected, an alert is immediately generated and sent to the user's device. The user can then receive the alert and take prompt action.

[0245] Specific examples

[0246] Example 1: Questions about night crying and emotion analysis

[0247] If a user inputs "my child won't stop crying at night" and the emotion engine determines that the user is feeling stressed, the server will use this information to generate customized advice, including ways to deal with night crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[0248] Example 2: Child safety monitoring and emotional response

[0249] The location information of children wearing IoT devices is sent to a server in real time. The server analyzes this information and immediately generates an alert to notify the user if the child leaves a set area or if there is something abnormal in their health. Furthermore, if the user feels stressed by the detected abnormality, mental health support information is provided based on the information analyzed by the emotion engine.

[0250] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[0251] The processing flow will be explained below.

[0252] Step 1:

[0253] Users use their smartphones or PCs to input questions and issues about childcare, either through messaging apps like LINE or dedicated web applications.

[0254] Step 2:

[0255] The device sends the data entered by the user to a server via the Internet, including the user's emotional information.

[0256] Step 3:

[0257] The server formats the received data before sending it to the natural language processing engine, removing unnecessary information and converting it into a form that is easy to analyze.

[0258] Step 4:

[0259] The server passes the formatted data to an internal AI engine and emotion engine, which analyzes specific emotions from the user's input text and generates emotion information.

[0260] Step 5:

[0261] The server's AI engine uses natural language processing technology to analyze users' questions and issues, extracting key keywords and related information, while also taking into account the user's emotional information received from the emotion engine.

[0262] Step 6:

[0263] Based on the analysis results and emotional information, the AI ​​engine generates customized advice, including relaxation techniques and mental health support information tailored to the user's emotional state.

[0264] Step 7:

[0265] The server compiles the generated advice with information on related childcare activities and local childcare support services, and if necessary, generates links to e-commerce sites so that users can easily purchase the items they need.

[0266] Step 8:

[0267] The server sends compiled advice and suggestions to the user's device, where the information is displayed for immediate review.

[0268] Step 9:

[0269] Users can check the advice and suggestions displayed on their device and take action based on them when raising their children, or purchase products or access childcare support services through the provided links.

[0270] Step 10:

[0271] Users attach an IoT device to their child to monitor their location and health, and the device then transmits the data to a server in real time.

[0272] Step 11:

[0273] The IoT device sends real-time location and health information of the child to a server, which monitors this data and checks for any abnormalities.

[0274] Step 12:

[0275] If an abnormality is detected, the server immediately generates an alert message and sends it to the user's device, allowing the user to respond promptly.

[0276] Step 13:

[0277] The terminal receives the alert message and immediately notifies the user, who can then take the necessary action promptly based on the alert.

[0278] Specific examples

[0279] Example 1: Questions about night crying and emotion analysis

[0280] Step 1:

[0281] The user inputs a question about childcare such as "My child won't stop crying at night. What should I do?"

[0282] Step 2:

[0283] The terminal transmits question data to the server and emotion information to the emotion engine.

[0284] Step 3:

[0285] The server formats the received data and passes it to the natural language processing engine and emotion engine.

[0286] Step 4:

[0287] The emotion engine analyzes that the user is feeling high stress and generates emotion information.

[0288] Step 5:

[0289] The artificial intelligence engine analyzes the questions and generates solutions to address nighttime crying, while also taking into account emotional information from the emotion engine.

[0290] Step 6:

[0291] The generated advice includes specific strategies for dealing with night crying (e.g., holding and rocking the baby, using white noise) as well as relaxation techniques (e.g., deep breathing, listening to soothing music).

[0292] Step 7:

[0293] The server generates feedback by compiling relaxation methods for stress reduction along with parenting advice.

[0294] Step 8:

[0295] The server transmits the generated feedback to the user's terminal.

[0296] Step 9:

[0297] Users review the feedback, take action, and try relaxation techniques to reduce stress.

[0298] Example 2: Child safety monitoring and emotional response

[0299] Step 10:

[0300] Users wear IoT devices to monitor their children's location and health status and collect data.

[0301] Step 11:

[0302] The IoT device sends the collected data to a server.

[0303] Step 12:

[0304] The server monitors the data and immediately generates an alert message if the child goes outside the set range or if there is an abnormality.

[0305] Step 13:

[0306] The terminal receives the alert message and notifies the user.

[0307] Step 14:

[0308] Users can check the alerts and respond quickly.The system also provides mental health support information based on stress information analyzed by the emotion engine.

[0309] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[0310] Example 2

[0311] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0312] Many parents today face various challenges and stresses related to child-rearing, as well as an information overload and difficulty in obtaining appropriate support. Therefore, systems that provide efficient and psychological support to parents are needed. In particular, systems that provide customized advice that takes into account the user's emotional state and monitor the safety of their children in real time are needed.

[0313] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0314] In this invention, the server includes an information processing device for users to input questions and challenges related to childcare, a data processing device that receives input from the information processing device and analyzes the input using natural language processing technology, means for generating customized user guidance based on the analyzed input using a knowledge processing device connected to the data processing device, means for transmitting the generated user guidance and answers including suggestions for childcare activities and childcare support services to the information processing device, means for generating and providing links to e-commerce sites where users can purchase necessary items based on the user guidance, means for monitoring the safety of minors using a device connected via a communication network, and means for monitoring location information and health status data of minors obtained from the device in real time and generating and transmitting an alert to the information processing device if an abnormality is detected. This allows users to easily obtain information about childcare, and further enables the provision of appropriate advice taking into account the user's emotional state and ensuring the safety of children.

[0315] An "information processing device" is an electronic device that allows a user to input questions and tasks related to child rearing.

[0316] A "data processing device" is a device that receives input from the information processing device and analyzes the input using natural language processing techniques.

[0317] A "knowledge processor" is a device connected to the data processor that generates customized user instructions based on the analyzed input.

[0318] "User guidance" refers to specific advice and suggestions about childcare provided to users.

[0319] "Response" refers to information that includes the generated user guidance and suggestions regarding childcare activities and childcare support services.

[0320] An "e-commerce site link" is information connecting to a website where a user can purchase the goods they need.

[0321] A "communications network" is a network for interconnecting information processing devices, data processing devices, knowledge processing devices, and other devices.

[0322] "Device" refers to equipment connected via a communications network for monitoring the safety of minors.

[0323] "Minor location information" is data indicating the current location of a minor.

[0324] "Health status data" refers to data that indicates information about the physical condition and health of a minor.

[0325] An "alert" is a notification generated when an anomaly is detected in a minor's safety or health.

[0326] This invention is a system that allows users to input questions and challenges about childcare and provides customized advice and feedback based on that information. It also has the function of monitoring child safety in real time. To implement this invention, an information processing device, a data processing device, a knowledge processing device, a communication network, and related software are required.

[0327] User questions and issues

[0328] Users input questions and issues about childcare using information processing devices such as smartphones or PCs, and the input data is easily transmitted via messaging apps or dedicated web applications.

[0329] Emotion analysis

[0330] When a user's input is received through the information processing device, the data processing device analyzes the input data. In this process, natural language processing techniques are used to extract emotional information from the text. The emotion engine analyzes the user's text and identifies, for example, whether the user is feeling stressed or anxious, and stores the analysis results on a server.

[0331] Generating customized advice

[0332] The knowledge processing device then generates customized advice based on the emotional information received from the data processing device and the parenting questions and challenges. The artificial intelligence engine uses natural language processing technology to provide optimal advice that addresses the user's emotional state and specific parenting challenges. This advice may include specific parenting strategies and relaxation techniques.

[0333] Feedback and Suggestions

[0334] The generated advice and suggestions for childcare activities and support services are sent to the user's information processing device. The suggestions include information about childcare events held in the local community and links to related e-commerce sites, allowing the user to easily purchase the necessary items.

[0335] Child Safety Monitoring

[0336] The device, connected via a communication network, monitors children's location and health status data in real time. The data acquired by the device is sent to a server, and if an abnormality is detected, an alert is immediately generated and notified to the user. This allows for comprehensive monitoring of children's health and safety.

[0337] Specific examples

[0338] Example 1: Questions about night crying and emotion analysis

[0339] If a user types, "My child won't stop crying at night. What should I do?", the emotion engine will analyze that the user is feeling stressed. The knowledge processor will then generate customized advice, including ways to deal with nighttime crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[0340] Example 2: Child safety monitoring and emotional response

[0341] When a user uses an IoT device to monitor their child's location in real time, the server analyzes this information and immediately generates a warning to notify the user if the child leaves a designated safe area or if there is something wrong with their health. Furthermore, if the user feels stressed by this abnormality detection, mental health support information is provided based on the information analyzed by the emotion engine.

[0342] Prompt Sentence Examples

[0343] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[0344] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0345] Step 1:

[0346] Users use an information processing device (smartphone or PC) to input questions or issues related to childcare. The input method is a messaging app or a dedicated web application. The input text data is sent from the information processing device to a data processing device.

[0347] Input: User-entered parenting questions or challenges (e.g., "My child won't stop crying at night. What should I do?")

[0348] Output: The input text data

[0349] Step 2:

[0350] The data processing device installed on the server analyzes the received input data using natural language processing technology. This analysis extracts the linguistic features of the text and identifies emotional information. Specifically, it analyzes keywords and context within the text to determine whether the user is feeling stressed.

[0351] Input: Text data entered by the user

[0352] Output: Extracted emotion information (e.g., stress, confusion)

[0353] Step 3:

[0354] The data processor sends this emotional information to the knowledge processor, which generates customized user guidance based on the emotional information and text data. It uses an artificial intelligence engine to suggest optimal advice and relaxation methods. It also incorporates specific parenting strategies from trusted sources.

[0355] Input: Emotion information and text data

[0356] Output: Customized user guidance (e.g., measures to deal with night crying, relaxation techniques)

[0357] Step 4:

[0358] The server compiles the generated user guidance and suggestions for childcare activities and childcare support services and transmits them to the user's information processing device. The suggestions may also include information about childcare events held in the local community and links to e-commerce sites.

[0359] Input: Customized User Instructions

[0360] Output: Feedback sent to the user's device (e.g., specific suggestions for dealing with night crying and information about childcare events)

[0361] Step 5:

[0362] The user receives the feedback and checks the content on the information processing device, and then purchases the necessary items or participates in the suggested childcare event using the provided link.

[0363] Input: Feedback sent by the server

[0364] Output: User access, purchase, and participation actions (e.g., purchasing healing music, registering for an event)

[0365] Step 6:

[0366] Users can monitor their children's location and health status in real time using devices (IoT devices) connected via a communication network. Data from these devices is sent to a server, and if an abnormality is detected, an alert is generated immediately. This ensures the safety of children and enables prompt response in the event of an abnormality.

[0367] Input: Location and health data sent from IoT devices

[0368] Output: Warning notification when an abnormality is detected (e.g., an alert when a child goes outside a set safe area)

[0369] Specific examples of operation

[0370] When a user types "My child won't stop crying at night. What should I do?" into their smartphone, this data is sent to the server. The emotion engine in the server identifies "stress" and suggests "deep breathing" and "soothing music" as countermeasures for night crying. Based on this, the knowledge processing device generates customized advice and sends feedback to the user's device. The user can then click the provided link to purchase the soothing music.

[0371] Prompt Sentence Examples

[0372] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[0373] (Application example 2)

[0374] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0375] Many parents have concerns and questions about childcare, and there is a need to appropriately analyze their emotions and stress and respond to them individually. However, conventional systems lack the functionality to analyze emotions and provide customized advice for stress reduction, and there are no effective means to reduce the mental burden on parents raising children. At the same time, it is also important to monitor the safety of children and respond quickly and accurately when abnormalities occur.

[0376] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0377] In this invention, the server includes means for analyzing emotional information using an emotion engine that analyzes the user's emotions and generating customized advice based on the analysis results, means for transmitting the generated advice to the user's terminal and providing feedback suggesting childcare activities and relaxation methods, and means for analyzing the user's emotional state when an abnormality is detected and providing feedback for stress reduction. This makes it possible to provide comprehensive support for childcare activities and ensure the safety of children while reducing the user's mental stress.

[0378] A "childcare support system" is a system that accepts questions and issues from users regarding childcare and provides them with customized advice and suggestions.

[0379] The "emotion engine" is a technology that analyzes emotions from the user's input text and customizes the advice content based on the analysis results.

[0380] "Natural language processing technology" is a technology for analyzing text data entered by a user and understanding the meaning of the language.

[0381] "Artificial Intelligence Engine" means an engine that uses artificial intelligence technology to analyze input data and generate appropriate customized advice.

[0382] "Customized advice" is advice or suggestions that are individually tailored to a user's specific questions or challenges, as well as their emotional state.

[0383] An "IoT device" is a device that is connected via the Internet to monitor children's location and health data in real time.

[0384] A "security alert" is a warning notification sent to the user when an abnormality is detected based on data obtained from an IoT device.

[0385] "Relaxation methods" are specific methods or suggestions for reducing the user's stress (e.g., deep breathing, healing music).

[0386] "Feedback" is customized advice, suggestions, and related information provided in response to a user's question or challenge.

[0387] "Local Community Events" is information about childcare-related events and workshops held in the local area.

[0388] System Configuration

[0389] The childcare support system of the present invention includes a server that receives user questions and task inputs and analyzes them using natural language processing technology, an emotion engine that analyzes the user's emotions, a means for generating customized advice using an artificial intelligence engine, a means for sending feedback including suggestions regarding childcare activities and childcare support services to a user terminal, a means for generating and providing links to e-commerce sites so that users can easily purchase necessary items, an IoT device for monitoring child safety, and a means for generating and sending an alert to a user terminal when an abnormality is detected.

[0390] Program processing explanation

[0391] 1. Receiving input data

[0392] The server provides a messaging app and dedicated web application that allows users to input questions and challenges about childcare using their smartphones or PCs, making it easy for users to send their questions and challenges.

[0393] Example: "My child won't stop crying at night."

[0394] 2. Emotion analysis

[0395] The server receives the user's input text and analyzes the text for emotions using an emotion engine. The emotion engine uses natural language processing technology based on TensorFlow. The analysis results include information such as whether the user is feeling stressed or emotionally unstable.

[0396] 3. Customized Advice Generation

[0397] An artificial intelligence engine connected to the server generates customized advice based on emotional information and user input data. This AI engine uses a generative AI model. In particular, if the user is feeling stressed, advice is generated that includes relaxation techniques and mental health support information.

[0398] 4. Send Feedback

[0399] The generated advice and suggestions for childcare support services are sent from the server to the user's device, allowing the user to immediately check the advice.

[0400] Example prompt sentence:

[0401] Users input specific parenting concerns, and the emotion engine analyzes the text and generates appropriate feedback.

[0402] My child won't stop crying in the middle of the night. What should I do?

[0403] 5. Child Safety Monitoring

[0404] IoT devices monitor children's location and health status data in real time. The server analyzes this data and generates an alert if an abnormality is detected, sending a notification to the user's device. At the same time, the user's emotional state is also analyzed, and appropriate feedback is provided if stress levels are high.

[0405] Specific examples

[0406] Questions about night crying and emotion analysis

[0407] If a user inputs "my child won't stop crying at night" and the emotion engine analyzes that the user is under high stress, the server will generate customized advice including measures to combat night crying and relaxation techniques to reduce stress. It will also provide information about nearby stress management workshops.

[0408] Child abnormality detection and alerts

[0409] The location information of children wearing IoT devices is sent to a server in real time, and if they go outside a set area or if there is something wrong with their health, an alert is immediately generated to notify the user. Furthermore, if the emotion engine analyzes that the user is feeling stressed due to the detected abnormality, mental health support information will also be provided.

[0410] Through the above process, the system provides customized parenting advice that takes into account the user's emotional state, ensuring the overall safety of children.

[0411] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0412] Step 1:

[0413] Users use their smartphones or PCs to input questions or issues about childcare. Input is done through messaging apps or dedicated web applications. The data entered by users is in text format and includes specific concerns or questions.

[0414] Input: Text entered by the user (e.g., "My child won't stop crying at night")

[0415] Output: The input text is sent to the server

[0416] Step 2:

[0417] The server passes the received input text to the emotion engine for emotion analysis. The emotion engine uses natural language processing technology to analyze the text content and determine the user's emotional state (e.g., stress, excitement, calm, etc.).

[0418] Input: Text data sent to the server

[0419] Output: Analysis of the user's emotional state (e.g., "high stress")

[0420] Step 3:

[0421] The server then passes the data to an AI engine based on the analysis results to generate customized advice. The AI ​​engine uses the analysis results and past data to create specific advice and suggestions for the user.

[0422] Input: Sentiment analysis results and user text input

[0423] Output: Customized advice (e.g., "Try deep breathing to combat night crying.")

[0424] Step 4:

[0425] The server sends the generated advice to the user's device, allowing the user to receive appropriate advice and suggestions in real time. The system also provides information on childcare support communities and links to e-commerce sites.

[0426] Input: Customized Advice

[0427] Output: Advice and related information sent to the user's terminal

[0428] Step 5:

[0429] IoT devices transmit real-time location and health information of children to a server, which actively monitors this data and immediately generates an alert to notify the user if an abnormality is detected.

[0430] Input: Real-time data from IoT devices (location, health data)

[0431] Output: Anomaly detection alert and notification to user device

[0432] Step 6:

[0433] When an abnormality is detected, the server re-analyzes the user's emotions and, if the user is feeling stressed, generates and provides additional feedback to the user, including mental health support information and relaxation techniques.

[0434] Input: Sentiment analysis results again, and anomaly detection facts

[0435] Output: Mental health support information and additional feedback

[0436] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0437] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0438] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0439] [Second embodiment]

[0440] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0441] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0442] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0443] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0444] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0445] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0446] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0447] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0448] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0449] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0450] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0451] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0452] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also uses IoT devices to monitor children's safety and sends alerts to users in the event of an abnormality. The operation of this system is described in detail below.

[0453] Explaining program processing in natural language

[0454] User questions and issues

[0455] Users (parents) access the system using smartphones or PCs. Through these devices, they input specific questions and issues about childcare in text format using messaging apps such as LINE or a dedicated web app. This input data is sent to a server via the Internet.

[0456] Server-based information analysis and generation of customized advice

[0457] The server receives input data from users and passes it to an internal AI engine. The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the analysis, it then generates customized advice and suggestions, including parenting tips, specific strategies, and recommended activities and services.

[0458] Proposals for activities and services

[0459] Based on the generated advice, the server further provides users with information on childcare community events they should participate in and available local childcare support services. It also generates links to related e-commerce sites so that users can easily purchase the childcare products they need. This allows users to obtain the information and products they need in one place within the system.

[0460] Providing feedback to users

[0461] The advice and suggestions generated by the server are then sent back to the user's device, where they are displayed in a format that can be viewed immediately by the user. The user can then use the advice to improve their childcare routine, and if necessary, purchase products or participate in events using the provided links.

[0462] Child safety monitoring using IoT technology

[0463] Users attach an IoT device to their child to monitor their safety. This device sends the child's location and health status in real time to a server. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user can receive this alert and take prompt action.

[0464] Specific examples

[0465] Example 1: Question about night crying

[0466] The user enters a question such as "My child won't stop crying at night." The server passes this question to an artificial intelligence engine, which then generates "measures to combat nighttime crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. Information about nearby childcare consultation events and links to products specifically advertised for the white nights are also provided. Users can take measures based on this information.

[0467] Example 2: Child Safety Monitoring

[0468] The location information of children wearing IoT devices is sent to a server in real time. If the child goes outside a set area or shows signs of illness, the server instantly sends an alert to the user's device. The user receives the alert and can take immediate action. This ensures the safety of children.

[0469] This system is designed to address the various challenges parents face while raising their children, allowing them to focus on raising their children with peace of mind.

[0470] The processing flow will be explained below.

[0471] Step 1:

[0472] Users will use their smartphones or PCs to input questions and issues about childcare, and may use messaging apps like LINE or dedicated web applications.

[0473] Step 2:

[0474] The terminal transmits the input data to a server via the Internet, where the data is converted into an appropriate format and transmitted as a request to the server.

[0475] Step 3:

[0476] The server formats the received data before sending it to the natural language processing engine, primarily to remove unnecessary information and convert it into a format that is easier to parse.

[0477] Step 4:

[0478] The server then passes the formatted data to an internal AI engine, which uses natural language processing technology to analyze the user's question or issue and extract key keywords and related information.

[0479] Step 5:

[0480] Based on the extracted keywords, the artificial intelligence engine references a childcare database and existing advice resources to generate customized advice.

[0481] Step 6:

[0482] The server compiles the generated advice with information on related childcare activities and local childcare support services, etc. It also collects product information from e-commerce sites as needed and generates links that allow users to easily purchase the product.

[0483] Step 7:

[0484] The server sends the compiled advice and suggestions to the user's device, where the information is presented in a format that the user can easily review.

[0485] Step 8:

[0486] Users can check the advice and suggestions displayed on their device and take action based on them, and can also use the provided links to purchase necessary items or access childcare support services.

[0487] Step 9:

[0488] To monitor their children's safety, users prepare an IoT device and attach it to their child, which then collects information on the child's location and health status in real time.

[0489] Step 10:

[0490] IoT devices send the collected data to a server, which monitors the data and checks for any anomalies.

[0491] Step 11:

[0492] The server immediately generates an alert message and sends it to the user's device if an abnormality is detected, including when the user moves out of the location information range.

[0493] Step 12:

[0494] The terminal receives the alert message and promptly notifies the user, who can then take the necessary action promptly based on the alert.

[0495] In this way, the system provides users with comprehensive support to quickly resolve childcare-related questions and issues and ensure the safety of their children.

[0496] Example 1

[0497] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0498] In modern childcare, parents are required to access numerous information sources and support services, but it can be challenging to use them effectively. They also need a system that can monitor their child's safety in real time and respond quickly to emergencies. Traditional systems lack comprehensive solutions to address these challenges. Therefore, there is a need for a system that provides customized advice for parenting questions and challenges, as well as integrated child safety monitoring capabilities.

[0499] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0500] In this invention, the server includes means for analyzing user questions and issues using natural language processing technology, means for generating customized advice based on the analysis results, means for transmitting the generated advice and suggestions to the user terminal, and means for monitoring child safety using IoT devices connected via the Internet. This makes it possible to address various child-rearing issues, provide customized advice, and monitor child safety in real time.

[0501] A "terminal" is a device that a user uses to input questions and tasks related to childcare, and includes, for example, a smartphone or a personal computer.

[0502] A "user" is an individual who utilizes the system to input parenting questions and challenges and receive customized advice and suggestions.

[0503] A "server" is a central data processing unit that receives input data from users, analyzes and processes it, and generates customized advice and suggestions.

[0504] "Natural language processing technology" is a technology used to analyze text data entered by a user and understand its meaning.

[0505] An "artificial intelligence engine" is a software engine for generating customized advice and suggestions based on data analyzed using natural language processing techniques.

[0506] "Feedback" is server-generated response information to the user, including advice and suggestions, and information about parenting activities and parenting support services.

[0507] An "e-commerce site" is a website through which users can purchase childcare related items over the Internet.

[0508] An "IoT device" is an internet-connected device that monitors a child's location and health status in real time and sends that data to a server.

[0509] "Location information" is data that indicates the child's current location.

[0510] "Health status data" refers to data related to a child's physical condition and health, including, for example, heart rate and body temperature.

[0511] An "alert" is a warning message sent to the user when the server detects an abnormality.

[0512] The present invention is a system that includes a terminal for users to input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also has a function that uses IoT devices to monitor children's safety and notify users with an alert in the event of an abnormality.

[0513] System Overview

[0514] User questions and issues

[0515] Users (parents) access the system using a smartphone or personal computer. They use messaging apps like LINE or a dedicated web app to enter specific questions and issues about childcare in text format. This input data is sent to a server via the Internet.

[0516] Server-based information analysis and generation of customized advice

[0517] The server receives the input data sent by the user and passes it to an internal AI engine (e.g., GPT-3). The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the results, it generates customized advice including parenting tips and specific countermeasures.

[0518] Proposals for activities and services

[0519] Based on the generated advice, the server provides users with information on childcare community events and local childcare support services, and also generates links to related e-commerce sites so that users can purchase the necessary items. This allows users to obtain the necessary information and items all at once through the system.

[0520] Providing feedback to users

[0521] The server sends the generated advice and suggestions to the user's device, which then displays the received information in a format that the user can view immediately. The user can then use the advice to take care of their child, and if necessary, purchase products or participate in events using the provided links.

[0522] Child safety monitoring using IoT technology

[0523] To monitor their safety, users attach an IoT device to their children. This device sends the child's location and health status to a server in real time. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user receives this alert and can respond quickly to ensure the safety of their child.

[0524] Specific examples

[0525] Example 1: Question about night crying

[0526] The user enters a question such as "My child won't stop crying at night." The server sends this question to an artificial intelligence engine, which generates "measures to combat night crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. The service also provides information about nearby childcare consultation events and links to products to combat night crying. Users can take measures based on this information.

[0527] Example 2: Child Safety Monitoring

[0528] The location information of children wearing IoT devices is sent to a server in real time. If the child leaves a designated area or shows signs of illness, the server immediately sends an alert to the user's device. The user receives the alert and can take immediate action to ensure the safety of their child.

[0529] Prompt Sentence Examples

[0530] 1. Type your question: "My child cries a lot at night. What should I do?"

[0531] 2. IoT Monitoring Notifications: "Set up an alert when your child leaves a designated area."

[0532] This system is designed to provide optimal support for the various challenges parents face while raising children.

[0533] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0534] Step 1:

[0535] User input of questions and issues

[0536] 1. Users access the system using a smartphone or personal computer.

[0537] 2. Users open LINE or a dedicated web app and enter their childcare-related questions or issues in text format.

[0538] Input: Text data entered by the user (e.g., "My child won't stop crying at night")

[0539] Output: The input data is sent to a server over the internet.

[0540] Step 2:

[0541] Receiving and analyzing information by the server

[0542] 1. The server receives the text data sent from the user's device.

[0543] 2. The server passes the received text data to an internal artificial intelligence engine (e.g., GPT-3).

[0544] Input: Text data sent by the user

[0545] Output: Text data to be analyzed and passed to the AI ​​engine

[0546] Step 3:

[0547] Natural language processing using an artificial intelligence engine

[0548] 1. The AI ​​engine uses natural language processing technology to analyze input data and understand the user's intent.

[0549] 2. Generate customized advice, such as parenting tips and coping strategies, based on the analysis results.

[0550] Input: Text data to be analyzed

[0551] Output: Customized advice generated (e.g., "Use white noise to combat night crying")

[0552] Step 4:

[0553] Server-based related information suggestions

[0554] 1. Based on the generated advice, the server searches for information on childcare community events and local childcare support services.

[0555] 2. The server generates a link to the relevant e-commerce site and provides a purchase page for the relevant item.

[0556] Input: Customized advice generation results

[0557] Output: Event information, childcare support service information, e-commerce site links

[0558] Step 5:

[0559] Providing feedback to user devices

[0560] 1. The server generates advice, suggestions, and links and sends them to the user's device.

[0561] 2. The terminal displays the received information in a form that can be immediately viewed by the user.

[0562] Input: Advice, suggestions, and links from the server

[0563] Output: Parenting advice and related information displayed on the user's device

[0564] Step 6:

[0565] User-configured IoT monitoring

[0566] 1. The user attaches an IoT device to their child to monitor their safety.

[0567] 2. The IoT device sends real-time information about the child's location and health status to a server.

[0568] Input: IoT device attached to child

[0569] Output: Real-time location and health data sent to a server

[0570] Step 7:

[0571] Server-based child safety monitoring and alert generation

[0572] 1. The server continuously monitors location and health status data obtained from IoT devices.

[0573] 2. If an abnormality is detected, the server immediately generates an alert message and notifies the user's device.

[0574] Input: Real-time data sent from IoT devices

[0575] Output: Alert message in case of abnormality

[0576] At each step, it specifically shows how the server, terminal, and user work together and how the childcare support system functions through the input and output of information.

[0577] (Application example 1)

[0578] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0579] In modern child-rearing, there are many ways to obtain information and solve problems, but it is difficult for parents to obtain prompt and appropriate advice. Furthermore, there are limited systems for monitoring children's safety in real time and responding immediately if an abnormality occurs. There is a particular need for interfaces that allow parents busy with child-rearing activities to respond quickly, and for robots to be used as a familiar means of communication.

[0580] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0581] In this invention, the server includes a terminal for a user to input questions and challenges about childcare, means for receiving the input from the user and analyzing the input using natural language processing technology, means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server, means for sending feedback to the terminal including the generated advice and suggestions for childcare activities and childcare support services, means for generating and providing links to e-commerce sites where the user can purchase necessary items based on the advice, means for monitoring child safety using IoT devices connected via the Internet, means for monitoring child location information and health status data obtained from the IoT devices in real time and generating and transmitting an alert to the terminal if an abnormality is detected, means for accepting user questions using a voice input function in the terminal, means for providing the generated advice to the user using a voice output function in the terminal, and means for the robot to monitor the child's condition using a camera and various sensors and issue a voice warning if an abnormality is detected. This allows parents to easily seek advice about childcare and ensures child safety in real time.

[0582] "Questions and challenges related to child rearing" refers to problems and doubts that parents and guardians encounter while raising their children.

[0583] A "terminal" is a device through which a user inputs a question or task, and includes, for example, a smartphone, tablet, PC, or robot.

[0584] "Analyzing input using natural language processing techniques" refers to techniques used to analyze and extract meaning from a user's text or voice input.

[0585] "Server" refers to a central computing device that receives and analyzes input data from users.

[0586] An "artificial intelligence engine" refers to algorithms and models that are connected to a server and analyze input data to generate customized advice.

[0587] The means for generating "customized advice" refers to a function that provides appropriate advice based on the user's specific situation and needs.

[0588] "Means for sending feedback" refers to a method for communicating server-generated advice and suggestions to the user.

[0589] "Means for generating and providing links to e-commerce sites" refers to a function for generating links to online stores where users can purchase the products they need and providing them to users.

[0590] "Methods of monitoring child safety using IoT devices" refers to methods of monitoring children's condition using sensors and devices connected to the Internet.

[0591] "Real-time monitoring of location and health data" refers to methods for continuously tracking a child's current location and health status and immediately detecting any abnormalities.

[0592] "Means for generating an alert and sending it to the terminal" refers to a function that generates a warning message and sends it to the user's terminal when an abnormality is detected.

[0593] "Means for accepting user questions using a voice input function" refers to a method in which a user can input a question by voice and convert it into text data.

[0594] "Means for providing advice generated using a voice output function" refers to a method in which advice generated by the server is converted into voice and conveyed to the user.

[0595] "Means for monitoring children's condition using cameras and various sensors" refers to methods for checking children's safety in real time using cameras and sensors for heart rate, temperature, etc.

[0596] "Means for issuing a voice warning" refers to a function that warns the user by voice when an abnormality in the child is detected.

[0597] Overall system configuration

[0598] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and provides appropriate advice, and an IoT device for monitoring children's safety. The terminal can be a smartphone, tablet, PC, or robot, and is the device with which the user directly interfaces. The server plays a central role in analyzing data and generating advice. The IoT device monitors the child's condition in real time and generates an alert if an abnormality occurs.

[0599] Specific examples of program processing

[0600] 1. Enter your question or problem and generate advice

[0601] Users use the device to input questions or challenges related to childcare. This input is done using the voice input function and converted into text data using a voice input API (such as Google Speech-to-Text). The text data is sent to a server via the internet. On the server side, the text data is analyzed using natural language processing technology, and customized advice is generated by an internal artificial intelligence engine (such as GPT-4). The generated advice is converted into audio data using a Text-to-Speech API (such as Google Text-to-Speech) and sent to the device. The user can receive the advice through the robot's voice output function.

[0602] 2. Child Safety Monitoring

[0603] The robot is equipped with a camera and various sensors (temperature, heart rate, etc.) to monitor the child's condition in real time. These devices continuously send the child's location and health status data to a server. If the server detects an abnormality, it generates an audio alert and notifies the user via the robot.

[0604] Hardware and software used

[0605] Hardware

[0606] Audio input microphone

[0607] camera

[0608] Various sensors such as temperature sensors and heart rate sensors

[0609] speaker

[0610] Network Connectivity Module

[0611] software

[0612] Google Speech-to-Text API (converts voice input data into text data)

[0613] GPT-4 (uses a natural language processing engine to generate customized advice)

[0614] Google Text-to-Speech API (converts text data into audio data)

[0615] Specific examples

[0616] Questions about night crying

[0617] When a user voices a question such as "My child won't stop crying at night," the voice input API converts the question into text and sends it to the server. GPT-4 on the server generates advice such as "hold your child and rock them" or "use white noise" as a solution to night crying. This is converted into voice data, and the robot tells the user, "Try holding your child and rocking them gently."

[0618] Prompt Sentence Examples

[0619] What to do if your child has a fever

[0620] In this way, the system of the present invention makes it easy for parents and guardians to receive voice advice regarding child rearing, and also makes it possible to ensure the safety of children in real time.

[0621] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0622] Step 1:

[0623] The voice input function of the device is used by users to input questions and issues about childcare by voice. Specifically, a parent asks the robot, "My child won't stop crying at night," and this voice is input into the microphone.

[0624] Step 2:

[0625] The device sends the input voice data to the Google Speech-to-Text API, which converts the voice into text data. Here, the input is voice data, and the output is text data. Specifically, the voice "My child won't stop crying at night" becomes the text "My child won't stop crying at night."

[0626] Step 3:

[0627] The terminal transmits the converted text data to a server via the Internet. The input is the text data, and the output is the same text data transmitted to the server.

[0628] Step 4:

[0629] The server analyzes the received text data using natural language processing technology. A generative AI model (e.g., GPT-4) is used for this analysis. The input is text data, and the output is the intention and customized advice as the analysis result. Specific advice such as "hold the child and rock them" or "use white noise" is generated as the analysis result.

[0630] Step 5:

[0631] The server converts the generated advice into audio data using the Text-to-Speech API. The input is the text data of the customized advice, and the output is audio data. For example, "Hold your child and rock him" is converted into audio data.

[0632] Step 6:

[0633] The server sends audio data to the terminal. The input is the audio data, and the output is the sent audio data.

[0634] Step 7:

[0635] The device then transmits the received voice data to the user through a speaker. Specifically, the robot provides voice advice such as, "Try holding your child and rocking them gently."

[0636] Step 8:

[0637] The robot's onboard cameras and various sensors monitor the child in real time and send the data to a server. The input is data acquired from the sensors, and the output is real-time monitoring data, including the child's location, body temperature, heart rate, etc.

[0638] Step 9:

[0639] The server continuously analyzes the received monitoring data and generates an alert if an abnormality is detected. The input is the monitoring data and the output is an abnormality detection alert. For example, an alert is generated if a child's body temperature exceeds a set range.

[0640] Step 10:

[0641] The server sends the generated alert to the terminal. The input is the alert message and the output is the sent alert message.

[0642] Step 11:

[0643] The device will then notify the user of the received alert via voice, with the robot warning them that their child's temperature is too high.

[0644] The above are the processing steps of the system based on the present invention.

[0645] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0646] This invention is a system that recognizes a user's emotions and provides customized advice and feedback for questions and issues related to child-rearing. In particular, the system aims to reduce the user's mental stress and comprehensively enhance child-rearing support by using an emotion engine to analyze the user's emotions and further customize advice and suggestions based on the analysis results.

[0647] Explaining program processing in natural language

[0648] User questions and issues

[0649] Users input questions and issues about childcare using their smartphones or PCs. They can use messaging apps like LINE or a dedicated web application. At the same time, the input data is sent to an emotion engine, which analyzes the user's emotional information.

[0650] Emotion analysis using an emotion engine

[0651] The emotion engine analyzes specific emotions from the user's input text. The analysis results include information such as whether the user is feeling stressed or emotionally unstable. The analysis results are sent to the server and used for subsequent processing.

[0652] Server-based information analysis and generation of customized advice

[0653] The server receives the analyzed emotional information and the user's questions and issues and passes them to an internal AI engine. The AI ​​engine uses natural language processing technology to generate appropriate customized advice based on the analysis results, taking the user's emotional information into consideration. If the user is feeling stressed, the advice may also include relaxation methods to reduce stress and mental health support information.

[0654] Proposals for activities and services

[0655] Based on the generated advice, the server further provides the user with information on parenting community events that the user should participate in and available local parenting support services, as well as links to related e-commerce sites where the user can easily purchase the parenting products they need.

[0656] Providing feedback to users

[0657] The server generates advice and suggestions, which are then sent to the user's device, which receives the information and displays it in a format that the user can view immediately. The user can then use the advice to improve their childcare routine and purchase products or access services via the provided links.

[0658] Child safety monitoring using IoT technology

[0659] Users use IoT devices to monitor their children's location and health status in real time. The devices continuously send data to a server, which analyzes the data and monitors for abnormalities. If an abnormality is detected, an alert is immediately generated and sent to the user's device. The user can then receive the alert and take prompt action.

[0660] Specific examples

[0661] Example 1: Questions about night crying and emotion analysis

[0662] If a user inputs "my child won't stop crying at night" and the emotion engine determines that the user is feeling stressed, the server will use this information to generate customized advice, including ways to deal with night crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[0663] Example 2: Child safety monitoring and emotional response

[0664] The location information of children wearing IoT devices is sent to a server in real time. The server analyzes this information and immediately generates an alert to notify the user if the child leaves a set area or if there is something abnormal in their health. Furthermore, if the user feels stressed by the detected abnormality, mental health support information is provided based on the information analyzed by the emotion engine.

[0665] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[0666] The processing flow will be explained below.

[0667] Step 1:

[0668] Users use their smartphones or PCs to input questions and issues about childcare, either through messaging apps like LINE or dedicated web applications.

[0669] Step 2:

[0670] The device sends the data entered by the user to a server via the Internet, including the user's emotional information.

[0671] Step 3:

[0672] The server formats the received data before sending it to the natural language processing engine, removing unnecessary information and converting it into a form that is easy to analyze.

[0673] Step 4:

[0674] The server passes the formatted data to an internal AI engine and emotion engine, which analyzes specific emotions from the user's input text and generates emotion information.

[0675] Step 5:

[0676] The server's AI engine uses natural language processing technology to analyze users' questions and issues, extracting key keywords and related information, while also taking into account the user's emotional information received from the emotion engine.

[0677] Step 6:

[0678] Based on the analysis results and emotional information, the AI ​​engine generates customized advice, including relaxation techniques and mental health support information tailored to the user's emotional state.

[0679] Step 7:

[0680] The server compiles the generated advice with information on related childcare activities and local childcare support services, and if necessary, generates links to e-commerce sites so that users can easily purchase the items they need.

[0681] Step 8:

[0682] The server sends compiled advice and suggestions to the user's device, where the information is displayed for immediate review.

[0683] Step 9:

[0684] Users can check the advice and suggestions displayed on their device and take action based on them when raising their children, or purchase products or access childcare support services through the provided links.

[0685] Step 10:

[0686] Users attach an IoT device to their child to monitor their location and health, and the device then transmits the data to a server in real time.

[0687] Step 11:

[0688] The IoT device sends real-time location and health information of the child to a server, which monitors this data and checks for any abnormalities.

[0689] Step 12:

[0690] If an abnormality is detected, the server immediately generates an alert message and sends it to the user's device, allowing the user to respond promptly.

[0691] Step 13:

[0692] The terminal receives the alert message and immediately notifies the user, who can then take the necessary action promptly based on the alert.

[0693] Specific examples

[0694] Example 1: Questions about night crying and emotion analysis

[0695] Step 1:

[0696] The user inputs a question about childcare such as "My child won't stop crying at night. What should I do?"

[0697] Step 2:

[0698] The terminal transmits question data to the server and emotion information to the emotion engine.

[0699] Step 3:

[0700] The server formats the received data and passes it to the natural language processing engine and emotion engine.

[0701] Step 4:

[0702] The emotion engine analyzes that the user is feeling high stress and generates emotion information.

[0703] Step 5:

[0704] The artificial intelligence engine analyzes the questions and generates solutions to address nighttime crying, while also taking into account emotional information from the emotion engine.

[0705] Step 6:

[0706] The generated advice includes specific strategies for dealing with night crying (e.g., holding and rocking the baby, using white noise) as well as relaxation techniques (e.g., deep breathing, listening to soothing music).

[0707] Step 7:

[0708] The server generates feedback by compiling relaxation methods for stress reduction along with parenting advice.

[0709] Step 8:

[0710] The server transmits the generated feedback to the user's terminal.

[0711] Step 9:

[0712] Users review the feedback, take action, and try relaxation techniques to reduce stress.

[0713] Example 2: Child safety monitoring and emotional response

[0714] Step 10:

[0715] Users wear IoT devices to monitor their children's location and health status and collect data.

[0716] Step 11:

[0717] The IoT device sends the collected data to a server.

[0718] Step 12:

[0719] The server monitors the data and immediately generates an alert message if the child goes outside the set range or if there is an abnormality.

[0720] Step 13:

[0721] The terminal receives the alert message and notifies the user.

[0722] Step 14:

[0723] Users can check the alerts and respond quickly.The system also provides mental health support information based on stress information analyzed by the emotion engine.

[0724] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[0725] Example 2

[0726] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0727] Many parents today face various challenges and stresses related to child-rearing, as well as an information overload and difficulty in obtaining appropriate support. Therefore, systems that provide efficient and psychological support to parents are needed. In particular, systems that provide customized advice that takes into account the user's emotional state and monitor the safety of their children in real time are needed.

[0728] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0729] In this invention, the server includes an information processing device for users to input questions and challenges related to childcare, a data processing device that receives input from the information processing device and analyzes the input using natural language processing technology, means for generating customized user guidance based on the analyzed input using a knowledge processing device connected to the data processing device, means for transmitting the generated user guidance and answers including suggestions for childcare activities and childcare support services to the information processing device, means for generating and providing links to e-commerce sites where users can purchase necessary items based on the user guidance, means for monitoring the safety of minors using a device connected via a communication network, and means for monitoring location information and health status data of minors obtained from the device in real time and generating and transmitting an alert to the information processing device if an abnormality is detected. This allows users to easily obtain information about childcare, and further enables the provision of appropriate advice taking into account the user's emotional state and ensuring the safety of children.

[0730] An "information processing device" is an electronic device that allows a user to input questions and tasks related to child rearing.

[0731] A "data processing device" is a device that receives input from the information processing device and analyzes the input using natural language processing techniques.

[0732] A "knowledge processor" is a device connected to the data processor that generates customized user instructions based on the analyzed input.

[0733] "User guidance" refers to specific advice and suggestions about childcare provided to users.

[0734] "Response" refers to information that includes the generated user guidance and suggestions regarding childcare activities and childcare support services.

[0735] An "e-commerce site link" is information connecting to a website where a user can purchase the goods they need.

[0736] A "communications network" is a network for interconnecting information processing devices, data processing devices, knowledge processing devices, and other devices.

[0737] "Device" refers to equipment connected via a communications network for monitoring the safety of minors.

[0738] "Minor location information" is data indicating the current location of a minor.

[0739] "Health status data" refers to data that indicates information about the physical condition and health of a minor.

[0740] An "alert" is a notification generated when an anomaly is detected in a minor's safety or health.

[0741] This invention is a system that allows users to input questions and challenges about childcare and provides customized advice and feedback based on that information. It also has the function of monitoring child safety in real time. To implement this invention, an information processing device, a data processing device, a knowledge processing device, a communication network, and related software are required.

[0742] User questions and issues

[0743] Users input questions and issues about childcare using information processing devices such as smartphones or PCs, and the input data is easily transmitted via messaging apps or dedicated web applications.

[0744] Emotion analysis

[0745] When a user's input is received through the information processing device, the data processing device analyzes the input data. In this process, natural language processing techniques are used to extract emotional information from the text. The emotion engine analyzes the user's text and identifies, for example, whether the user is feeling stressed or anxious, and stores the analysis results on a server.

[0746] Generating customized advice

[0747] The knowledge processing device then generates customized advice based on the emotional information received from the data processing device and the parenting questions and challenges. The artificial intelligence engine uses natural language processing technology to provide optimal advice that addresses the user's emotional state and specific parenting challenges. This advice may include specific parenting strategies and relaxation techniques.

[0748] Feedback and Suggestions

[0749] The generated advice and suggestions for childcare activities and support services are sent to the user's information processing device. The suggestions include information about childcare events held in the local community and links to related e-commerce sites, allowing the user to easily purchase the necessary items.

[0750] Child Safety Monitoring

[0751] The device, connected via a communication network, monitors children's location and health status data in real time. The data acquired by the device is sent to a server, and if an abnormality is detected, an alert is immediately generated and notified to the user. This allows for comprehensive monitoring of children's health and safety.

[0752] Specific examples

[0753] Example 1: Questions about night crying and emotion analysis

[0754] If a user types, "My child won't stop crying at night. What should I do?", the emotion engine will analyze that the user is feeling stressed. The knowledge processor will then generate customized advice, including ways to deal with nighttime crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[0755] Example 2: Child safety monitoring and emotional response

[0756] When a user uses an IoT device to monitor their child's location in real time, the server analyzes this information and immediately generates a warning to notify the user if the child leaves a designated safe area or if there is something wrong with their health. Furthermore, if the user feels stressed by this abnormality detection, mental health support information is provided based on the information analyzed by the emotion engine.

[0757] Prompt Sentence Examples

[0758] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[0759] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0760] Step 1:

[0761] Users use an information processing device (smartphone or PC) to input questions or issues related to childcare. The input method is a messaging app or a dedicated web application. The input text data is sent from the information processing device to a data processing device.

[0762] Input: User-entered parenting questions or challenges (e.g., "My child won't stop crying at night. What should I do?")

[0763] Output: The input text data

[0764] Step 2:

[0765] The data processing device installed on the server analyzes the received input data using natural language processing technology. This analysis extracts the linguistic features of the text and identifies emotional information. Specifically, it analyzes keywords and context within the text to determine whether the user is feeling stressed.

[0766] Input: Text data entered by the user

[0767] Output: Extracted emotion information (e.g., stress, confusion)

[0768] Step 3:

[0769] The data processor sends this emotional information to the knowledge processor, which generates customized user guidance based on the emotional information and text data. It uses an artificial intelligence engine to suggest optimal advice and relaxation methods. It also incorporates specific parenting strategies from trusted sources.

[0770] Input: Emotion information and text data

[0771] Output: Customized user guidance (e.g., measures to deal with night crying, relaxation techniques)

[0772] Step 4:

[0773] The server compiles the generated user guidance and suggestions for childcare activities and childcare support services and transmits them to the user's information processing device. The suggestions may also include information about childcare events held in the local community and links to e-commerce sites.

[0774] Input: Customized User Instructions

[0775] Output: Feedback sent to the user's device (e.g., specific suggestions for dealing with night crying and information about childcare events)

[0776] Step 5:

[0777] The user receives the feedback and checks the content on the information processing device, and then purchases the necessary items or participates in the suggested childcare event using the provided link.

[0778] Input: Feedback sent by the server

[0779] Output: User access, purchase, and participation actions (e.g., purchasing healing music, registering for an event)

[0780] Step 6:

[0781] Users can monitor their children's location and health status in real time using devices (IoT devices) connected via a communication network. Data from these devices is sent to a server, and if an abnormality is detected, an alert is generated immediately. This ensures the safety of children and enables prompt response in the event of an abnormality.

[0782] Input: Location and health data sent from IoT devices

[0783] Output: Warning notification when an abnormality is detected (e.g., an alert when a child goes outside a set safe area)

[0784] Specific examples of operation

[0785] When a user types "My child won't stop crying at night. What should I do?" into their smartphone, this data is sent to the server. The emotion engine in the server identifies "stress" and suggests "deep breathing" and "soothing music" as countermeasures for night crying. Based on this, the knowledge processing device generates customized advice and sends feedback to the user's device. The user can then click the provided link to purchase the soothing music.

[0786] Prompt Sentence Examples

[0787] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[0788] (Application example 2)

[0789] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0790] Many parents have concerns and questions about childcare, and there is a need to appropriately analyze their emotions and stress and respond to them individually. However, conventional systems lack the functionality to analyze emotions and provide customized advice for stress reduction, and there are no effective means to reduce the mental burden on parents raising children. At the same time, it is also important to monitor the safety of children and respond quickly and accurately when abnormalities occur.

[0791] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0792] In this invention, the server includes means for analyzing emotional information using an emotion engine that analyzes the user's emotions and generating customized advice based on the analysis results, means for transmitting the generated advice to the user's terminal and providing feedback suggesting childcare activities and relaxation methods, and means for analyzing the user's emotional state when an abnormality is detected and providing feedback for stress reduction. This makes it possible to provide comprehensive support for childcare activities and ensure the safety of children while reducing the user's mental stress.

[0793] A "childcare support system" is a system that accepts questions and issues from users regarding childcare and provides them with customized advice and suggestions.

[0794] The "emotion engine" is a technology that analyzes emotions from the user's input text and customizes the advice content based on the analysis results.

[0795] "Natural language processing technology" is a technology for analyzing text data entered by a user and understanding the meaning of the language.

[0796] "Artificial Intelligence Engine" means an engine that uses artificial intelligence technology to analyze input data and generate appropriate customized advice.

[0797] "Customized advice" is advice or suggestions that are individually tailored to a user's specific questions or challenges, as well as their emotional state.

[0798] An "IoT device" is a device that is connected via the Internet to monitor children's location and health data in real time.

[0799] A "security alert" is a warning notification sent to the user when an abnormality is detected based on data obtained from an IoT device.

[0800] "Relaxation methods" are specific methods or suggestions for reducing the user's stress (e.g., deep breathing, healing music).

[0801] "Feedback" is customized advice, suggestions, and related information provided in response to a user's question or challenge.

[0802] "Local Community Events" is information about childcare-related events and workshops held in the local area.

[0803] System Configuration

[0804] The childcare support system of the present invention includes a server that receives user questions and task inputs and analyzes them using natural language processing technology, an emotion engine that analyzes the user's emotions, a means for generating customized advice using an artificial intelligence engine, a means for sending feedback including suggestions regarding childcare activities and childcare support services to a user terminal, a means for generating and providing links to e-commerce sites so that users can easily purchase necessary items, an IoT device for monitoring child safety, and a means for generating and sending an alert to a user terminal when an abnormality is detected.

[0805] Program processing explanation

[0806] 1. Receiving input data

[0807] The server provides a messaging app and dedicated web application that allows users to input questions and challenges about childcare using their smartphones or PCs, making it easy for users to send their questions and challenges.

[0808] Example: "My child won't stop crying at night."

[0809] 2. Emotion analysis

[0810] The server receives the user's input text and analyzes the text for emotions using an emotion engine. The emotion engine uses natural language processing technology based on TensorFlow. The analysis results include information such as whether the user is feeling stressed or emotionally unstable.

[0811] 3. Customized Advice Generation

[0812] An artificial intelligence engine connected to the server generates customized advice based on emotional information and user input data. This AI engine uses a generative AI model. In particular, if the user is feeling stressed, advice is generated that includes relaxation techniques and mental health support information.

[0813] 4. Send Feedback

[0814] The generated advice and suggestions for childcare support services are sent from the server to the user's device, allowing the user to immediately check the advice.

[0815] Example prompt sentence:

[0816] Users input specific parenting concerns, and the emotion engine analyzes the text and generates appropriate feedback.

[0817] My child won't stop crying in the middle of the night. What should I do?

[0818] 5. Child Safety Monitoring

[0819] IoT devices monitor children's location and health status data in real time. The server analyzes this data and generates an alert if an abnormality is detected, sending a notification to the user's device. At the same time, the user's emotional state is also analyzed, and appropriate feedback is provided if stress levels are high.

[0820] Specific examples

[0821] Questions about night crying and emotion analysis

[0822] If a user inputs "my child won't stop crying at night" and the emotion engine analyzes that the user is under high stress, the server will generate customized advice including measures to combat night crying and relaxation techniques to reduce stress. It will also provide information about nearby stress management workshops.

[0823] Child abnormality detection and alerts

[0824] The location information of children wearing IoT devices is sent to a server in real time, and if they go outside a set area or if there is something wrong with their health, an alert is immediately generated to notify the user. Furthermore, if the emotion engine analyzes that the user is feeling stressed due to the detected abnormality, mental health support information will also be provided.

[0825] Through the above process, the system provides customized parenting advice that takes into account the user's emotional state, ensuring the overall safety of children.

[0826] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0827] Step 1:

[0828] Users use their smartphones or PCs to input questions or issues about childcare. Input is done through messaging apps or dedicated web applications. The data entered by users is in text format and includes specific concerns or questions.

[0829] Input: Text entered by the user (e.g., "My child won't stop crying at night")

[0830] Output: The input text is sent to the server

[0831] Step 2:

[0832] The server passes the received input text to the emotion engine for emotion analysis. The emotion engine uses natural language processing technology to analyze the text content and determine the user's emotional state (e.g., stress, excitement, calm, etc.).

[0833] Input: Text data sent to the server

[0834] Output: Analysis of the user's emotional state (e.g., "high stress")

[0835] Step 3:

[0836] The server then passes the data to an AI engine based on the analysis results to generate customized advice. The AI ​​engine uses the analysis results and past data to create specific advice and suggestions for the user.

[0837] Input: Sentiment analysis results and user text input

[0838] Output: Customized advice (e.g., "Try deep breathing to combat night crying.")

[0839] Step 4:

[0840] The server sends the generated advice to the user's device, allowing the user to receive appropriate advice and suggestions in real time. The system also provides information on childcare support communities and links to e-commerce sites.

[0841] Input: Customized Advice

[0842] Output: Advice and related information sent to the user's terminal

[0843] Step 5:

[0844] IoT devices transmit real-time location and health information of children to a server, which actively monitors this data and immediately generates an alert to notify the user if an abnormality is detected.

[0845] Input: Real-time data from IoT devices (location, health data)

[0846] Output: Anomaly detection alert and notification to user device

[0847] Step 6:

[0848] When an abnormality is detected, the server re-analyzes the user's emotions and, if the user is feeling stressed, generates and provides additional feedback to the user, including mental health support information and relaxation techniques.

[0849] Input: Sentiment analysis results again, and anomaly detection facts

[0850] Output: Mental health support information and additional feedback

[0851] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0852] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0853] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0854] [Third embodiment]

[0855] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0856] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0857] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0858] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0859] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0860] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0861] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0862] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0863] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0864] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0865] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0866] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0867] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also uses IoT devices to monitor children's safety and sends alerts to users in the event of an abnormality. The operation of this system is described in detail below.

[0868] Explaining program processing in natural language

[0869] User questions and issues

[0870] Users (parents) access the system using smartphones or PCs. Through these devices, they input specific questions and issues about childcare in text format using messaging apps such as LINE or a dedicated web app. This input data is sent to a server via the Internet.

[0871] Server-based information analysis and generation of customized advice

[0872] The server receives input data from users and passes it to an internal AI engine. The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the analysis, it then generates customized advice and suggestions, including parenting tips, specific strategies, and recommended activities and services.

[0873] Proposals for activities and services

[0874] Based on the generated advice, the server further provides users with information on childcare community events they should participate in and available local childcare support services. It also generates links to related e-commerce sites so that users can easily purchase the childcare products they need. This allows users to obtain the information and products they need in one place within the system.

[0875] Providing feedback to users

[0876] The advice and suggestions generated by the server are then sent back to the user's device, where they are displayed in a format that can be viewed immediately by the user. The user can then use the advice to improve their childcare routine, and if necessary, purchase products or participate in events using the provided links.

[0877] Child safety monitoring using IoT technology

[0878] Users attach an IoT device to their child to monitor their safety. This device sends the child's location and health status in real time to a server. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user can receive this alert and take prompt action.

[0879] Specific examples

[0880] Example 1: Question about night crying

[0881] The user enters a question such as "My child won't stop crying at night." The server passes this question to an artificial intelligence engine, which then generates "measures to combat nighttime crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. Information about nearby childcare consultation events and links to products specifically advertised for the white nights are also provided. Users can take measures based on this information.

[0882] Example 2: Child Safety Monitoring

[0883] The location information of children wearing IoT devices is sent to a server in real time. If the child goes outside a set area or shows signs of illness, the server instantly sends an alert to the user's device. The user receives the alert and can take immediate action. This ensures the safety of children.

[0884] This system is designed to address the various challenges parents face while raising their children, allowing them to focus on raising their children with peace of mind.

[0885] The processing flow will be explained below.

[0886] Step 1:

[0887] Users will use their smartphones or PCs to input questions and issues about childcare, and may use messaging apps like LINE or dedicated web applications.

[0888] Step 2:

[0889] The terminal transmits the input data to a server via the Internet, where the data is converted into an appropriate format and transmitted as a request to the server.

[0890] Step 3:

[0891] The server formats the received data before sending it to the natural language processing engine, primarily to remove unnecessary information and convert it into a format that is easier to parse.

[0892] Step 4:

[0893] The server then passes the formatted data to an internal AI engine, which uses natural language processing technology to analyze the user's question or issue and extract key keywords and related information.

[0894] Step 5:

[0895] Based on the extracted keywords, the artificial intelligence engine references a childcare database and existing advice resources to generate customized advice.

[0896] Step 6:

[0897] The server compiles the generated advice with information on related childcare activities and local childcare support services, etc. It also collects product information from e-commerce sites as needed and generates links that allow users to easily purchase the product.

[0898] Step 7:

[0899] The server sends the compiled advice and suggestions to the user's device, where the information is presented in a format that the user can easily review.

[0900] Step 8:

[0901] Users can check the advice and suggestions displayed on their device and take action based on them, and can also use the provided links to purchase necessary items or access childcare support services.

[0902] Step 9:

[0903] To monitor their children's safety, users prepare an IoT device and attach it to their child, which then collects information on the child's location and health status in real time.

[0904] Step 10:

[0905] IoT devices send the collected data to a server, which monitors the data and checks for any anomalies.

[0906] Step 11:

[0907] The server immediately generates an alert message and sends it to the user's device if an abnormality is detected, including when the user moves out of the location information range.

[0908] Step 12:

[0909] The terminal receives the alert message and promptly notifies the user, who can then take the necessary action promptly based on the alert.

[0910] In this way, the system provides users with comprehensive support to quickly resolve childcare-related questions and issues and ensure the safety of their children.

[0911] Example 1

[0912] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0913] In modern childcare, parents are required to access numerous information sources and support services, but it can be challenging to use them effectively. They also need a system that can monitor their child's safety in real time and respond quickly to emergencies. Traditional systems lack comprehensive solutions to address these challenges. Therefore, there is a need for a system that provides customized advice for parenting questions and challenges, as well as integrated child safety monitoring capabilities.

[0914] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0915] In this invention, the server includes means for analyzing user questions and issues using natural language processing technology, means for generating customized advice based on the analysis results, means for transmitting the generated advice and suggestions to the user terminal, and means for monitoring child safety using IoT devices connected via the Internet. This makes it possible to address various child-rearing issues, provide customized advice, and monitor child safety in real time.

[0916] A "terminal" is a device that a user uses to input questions and tasks related to childcare, and includes, for example, a smartphone or a personal computer.

[0917] A "user" is an individual who utilizes the system to input parenting questions and challenges and receive customized advice and suggestions.

[0918] A "server" is a central data processing unit that receives input data from users, analyzes and processes it, and generates customized advice and suggestions.

[0919] "Natural language processing technology" is a technology used to analyze text data entered by a user and understand its meaning.

[0920] An "artificial intelligence engine" is a software engine for generating customized advice and suggestions based on data analyzed using natural language processing techniques.

[0921] "Feedback" is server-generated response information to the user, including advice and suggestions, and information about parenting activities and parenting support services.

[0922] An "e-commerce site" is a website through which users can purchase childcare related items over the Internet.

[0923] An "IoT device" is an internet-connected device that monitors a child's location and health status in real time and sends that data to a server.

[0924] "Location information" is data that indicates the child's current location.

[0925] "Health status data" refers to data related to a child's physical condition and health, including, for example, heart rate and body temperature.

[0926] An "alert" is a warning message sent to the user when the server detects an abnormality.

[0927] The present invention is a system that includes a terminal for users to input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also has a function that uses IoT devices to monitor children's safety and notify users with an alert in the event of an abnormality.

[0928] System Overview

[0929] User questions and issues

[0930] Users (parents) access the system using a smartphone or personal computer. They use messaging apps like LINE or a dedicated web app to enter specific questions and issues about childcare in text format. This input data is sent to a server via the Internet.

[0931] Server-based information analysis and generation of customized advice

[0932] The server receives the input data sent by the user and passes it to an internal AI engine (e.g., GPT-3). The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the results, it generates customized advice including parenting tips and specific countermeasures.

[0933] Proposals for activities and services

[0934] Based on the generated advice, the server provides users with information on childcare community events and local childcare support services, and also generates links to related e-commerce sites so that users can purchase the necessary items. This allows users to obtain the necessary information and items all at once through the system.

[0935] Providing feedback to users

[0936] The server sends the generated advice and suggestions to the user's device, which then displays the received information in a format that the user can view immediately. The user can then use the advice to take care of their child, and if necessary, purchase products or participate in events using the provided links.

[0937] Child safety monitoring using IoT technology

[0938] To monitor their safety, users attach an IoT device to their children. This device sends the child's location and health status to a server in real time. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user receives this alert and can respond quickly to ensure the safety of their child.

[0939] Specific examples

[0940] Example 1: Question about night crying

[0941] The user enters a question such as "My child won't stop crying at night." The server sends this question to an artificial intelligence engine, which generates "measures to combat night crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. The service also provides information about nearby childcare consultation events and links to products to combat night crying. Users can take measures based on this information.

[0942] Example 2: Child Safety Monitoring

[0943] The location information of children wearing IoT devices is sent to a server in real time. If the child leaves a designated area or shows signs of illness, the server immediately sends an alert to the user's device. The user receives the alert and can take immediate action to ensure the safety of their child.

[0944] Prompt Sentence Examples

[0945] 1. Type your question: "My child cries a lot at night. What should I do?"

[0946] 2. IoT Monitoring Notifications: "Set up an alert when your child leaves a designated area."

[0947] This system is designed to provide optimal support for the various challenges parents face while raising children.

[0948] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0949] Step 1:

[0950] User input of questions and issues

[0951] 1. Users access the system using a smartphone or personal computer.

[0952] 2. Users open LINE or a dedicated web app and enter their childcare-related questions or issues in text format.

[0953] Input: Text data entered by the user (e.g., "My child won't stop crying at night")

[0954] Output: The input data is sent to a server over the internet.

[0955] Step 2:

[0956] Receiving and analyzing information by the server

[0957] 1. The server receives the text data sent from the user's device.

[0958] 2. The server passes the received text data to an internal artificial intelligence engine (e.g., GPT-3).

[0959] Input: Text data sent by the user

[0960] Output: Text data to be analyzed and passed to the AI ​​engine

[0961] Step 3:

[0962] Natural language processing using an artificial intelligence engine

[0963] 1. The AI ​​engine uses natural language processing technology to analyze input data and understand the user's intent.

[0964] 2. Generate customized advice, such as parenting tips and coping strategies, based on the analysis results.

[0965] Input: Text data to be analyzed

[0966] Output: Customized advice generated (e.g., "Use white noise to combat night crying")

[0967] Step 4:

[0968] Server-based related information suggestions

[0969] 1. Based on the generated advice, the server searches for information on childcare community events and local childcare support services.

[0970] 2. The server generates a link to the relevant e-commerce site and provides a purchase page for the relevant item.

[0971] Input: Customized advice generation results

[0972] Output: Event information, childcare support service information, e-commerce site links

[0973] Step 5:

[0974] Providing feedback to user devices

[0975] 1. The server generates advice, suggestions, and links and sends them to the user's device.

[0976] 2. The terminal displays the received information in a form that can be immediately viewed by the user.

[0977] Input: Advice, suggestions, and links from the server

[0978] Output: Parenting advice and related information displayed on the user's device

[0979] Step 6:

[0980] User-configured IoT monitoring

[0981] 1. The user attaches an IoT device to their child to monitor their safety.

[0982] 2. The IoT device sends real-time information about the child's location and health status to a server.

[0983] Input: IoT device attached to child

[0984] Output: Real-time location and health data sent to a server

[0985] Step 7:

[0986] Server-based child safety monitoring and alert generation

[0987] 1. The server continuously monitors location and health status data obtained from IoT devices.

[0988] 2. If an abnormality is detected, the server immediately generates an alert message and notifies the user's device.

[0989] Input: Real-time data sent from IoT devices

[0990] Output: Alert message in case of abnormality

[0991] At each step, it specifically shows how the server, terminal, and user work together and how the childcare support system functions through the input and output of information.

[0992] (Application example 1)

[0993] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0994] In modern child-rearing, there are many ways to obtain information and solve problems, but it is difficult for parents to obtain prompt and appropriate advice. Furthermore, there are limited systems for monitoring children's safety in real time and responding immediately if an abnormality occurs. There is a particular need for interfaces that allow parents busy with child-rearing activities to respond quickly, and for robots to be used as a familiar means of communication.

[0995] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0996] In this invention, the server includes a terminal for a user to input questions and challenges about childcare, means for receiving the input from the user and analyzing the input using natural language processing technology, means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server, means for sending feedback to the terminal including the generated advice and suggestions for childcare activities and childcare support services, means for generating and providing links to e-commerce sites where the user can purchase necessary items based on the advice, means for monitoring child safety using IoT devices connected via the Internet, means for monitoring child location information and health status data obtained from the IoT devices in real time and generating and transmitting an alert to the terminal if an abnormality is detected, means for accepting user questions using a voice input function in the terminal, means for providing the generated advice to the user using a voice output function in the terminal, and means for the robot to monitor the child's condition using a camera and various sensors and issue a voice warning if an abnormality is detected. This allows parents to easily seek advice about childcare and ensures child safety in real time.

[0997] "Questions and challenges related to child rearing" refers to problems and doubts that parents and guardians encounter while raising their children.

[0998] A "terminal" is a device through which a user inputs a question or task, and includes, for example, a smartphone, tablet, PC, or robot.

[0999] "Analyzing input using natural language processing techniques" refers to techniques used to analyze and extract meaning from a user's text or voice input.

[1000] "Server" refers to a central computing device that receives and analyzes input data from users.

[1001] An "artificial intelligence engine" refers to algorithms and models that are connected to a server and analyze input data to generate customized advice.

[1002] The means for generating "customized advice" refers to a function that provides appropriate advice based on the user's specific situation and needs.

[1003] "Means for sending feedback" refers to a method for communicating server-generated advice and suggestions to the user.

[1004] "Means for generating and providing links to e-commerce sites" refers to a function for generating links to online stores where users can purchase the products they need and providing them to users.

[1005] "Methods of monitoring child safety using IoT devices" refers to methods of monitoring children's condition using sensors and devices connected to the Internet.

[1006] "Real-time monitoring of location and health data" refers to methods for continuously tracking a child's current location and health status and immediately detecting any abnormalities.

[1007] "Means for generating an alert and sending it to the terminal" refers to a function that generates a warning message and sends it to the user's terminal when an abnormality is detected.

[1008] "Means for accepting user questions using a voice input function" refers to a method in which a user can input a question by voice and convert it into text data.

[1009] "Means for providing advice generated using a voice output function" refers to a method in which advice generated by the server is converted into voice and conveyed to the user.

[1010] "Means for monitoring children's condition using cameras and various sensors" refers to methods for checking children's safety in real time using cameras and sensors for heart rate, temperature, etc.

[1011] "Means for issuing a voice warning" refers to a function that warns the user by voice when an abnormality in the child is detected.

[1012] Overall system configuration

[1013] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and provides appropriate advice, and an IoT device for monitoring children's safety. The terminal can be a smartphone, tablet, PC, or robot, and is the device with which the user directly interfaces. The server plays a central role in analyzing data and generating advice. The IoT device monitors the child's condition in real time and generates an alert if an abnormality occurs.

[1014] Specific examples of program processing

[1015] 1. Enter your question or problem and generate advice

[1016] Users use the device to input questions or challenges related to childcare. This input is done using the voice input function and converted into text data using a voice input API (such as Google Speech-to-Text). The text data is sent to a server via the internet. On the server side, the text data is analyzed using natural language processing technology, and customized advice is generated by an internal artificial intelligence engine (such as GPT-4). The generated advice is converted into audio data using a Text-to-Speech API (such as Google Text-to-Speech) and sent to the device. The user can receive the advice through the robot's voice output function.

[1017] 2. Child Safety Monitoring

[1018] The robot is equipped with a camera and various sensors (temperature, heart rate, etc.) to monitor the child's condition in real time. These devices continuously send the child's location and health status data to a server. If the server detects an abnormality, it generates an audio alert and notifies the user via the robot.

[1019] Hardware and software used

[1020] Hardware

[1021] Audio input microphone

[1022] camera

[1023] Various sensors such as temperature sensors and heart rate sensors

[1024] speaker

[1025] Network Connectivity Module

[1026] software

[1027] Google Speech-to-Text API (converts voice input data into text data)

[1028] GPT-4 (uses a natural language processing engine to generate customized advice)

[1029] Google Text-to-Speech API (converts text data into audio data)

[1030] Specific examples

[1031] Questions about night crying

[1032] When a user voices a question such as "My child won't stop crying at night," the voice input API converts the question into text and sends it to the server. GPT-4 on the server generates advice such as "hold your child and rock them" or "use white noise" as a solution to night crying. This is converted into voice data, and the robot tells the user, "Try holding your child and rocking them gently."

[1033] Prompt Sentence Examples

[1034] What to do if your child has a fever

[1035] In this way, the system of the present invention makes it easy for parents and guardians to receive voice advice regarding child rearing, and also makes it possible to ensure the safety of children in real time.

[1036] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1037] Step 1:

[1038] The voice input function of the device is used by users to input questions and issues about childcare by voice. Specifically, a parent asks the robot, "My child won't stop crying at night," and this voice is input into the microphone.

[1039] Step 2:

[1040] The device sends the input voice data to the Google Speech-to-Text API, which converts the voice into text data. Here, the input is voice data, and the output is text data. Specifically, the voice "My child won't stop crying at night" becomes the text "My child won't stop crying at night."

[1041] Step 3:

[1042] The terminal transmits the converted text data to a server via the Internet. The input is the text data, and the output is the same text data transmitted to the server.

[1043] Step 4:

[1044] The server analyzes the received text data using natural language processing technology. A generative AI model (e.g., GPT-4) is used for this analysis. The input is text data, and the output is the intention and customized advice as the analysis result. Specific advice such as "hold the child and rock them" or "use white noise" is generated as the analysis result.

[1045] Step 5:

[1046] The server converts the generated advice into audio data using the Text-to-Speech API. The input is the text data of the customized advice, and the output is audio data. For example, "Hold your child and rock him" is converted into audio data.

[1047] Step 6:

[1048] The server sends audio data to the terminal. The input is the audio data, and the output is the sent audio data.

[1049] Step 7:

[1050] The device then transmits the received voice data to the user through a speaker. Specifically, the robot provides voice advice such as, "Try holding your child and rocking them gently."

[1051] Step 8:

[1052] The robot's onboard cameras and various sensors monitor the child in real time and send the data to a server. The input is data acquired from the sensors, and the output is real-time monitoring data, including the child's location, body temperature, heart rate, etc.

[1053] Step 9:

[1054] The server continuously analyzes the received monitoring data and generates an alert if an abnormality is detected. The input is the monitoring data and the output is an abnormality detection alert. For example, an alert is generated if a child's body temperature exceeds a set range.

[1055] Step 10:

[1056] The server sends the generated alert to the terminal. The input is the alert message and the output is the sent alert message.

[1057] Step 11:

[1058] The device will then notify the user of the received alert via voice, with the robot warning them that their child's temperature is too high.

[1059] The above are the processing steps of the system based on the present invention.

[1060] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1061] This invention is a system that recognizes a user's emotions and provides customized advice and feedback for questions and issues related to child-rearing. In particular, the system aims to reduce the user's mental stress and comprehensively enhance child-rearing support by using an emotion engine to analyze the user's emotions and further customize advice and suggestions based on the analysis results.

[1062] Explaining program processing in natural language

[1063] User questions and issues

[1064] Users input questions and issues about childcare using their smartphones or PCs. They can use messaging apps like LINE or a dedicated web application. At the same time, the input data is sent to an emotion engine, which analyzes the user's emotional information.

[1065] Emotion analysis using an emotion engine

[1066] The emotion engine analyzes specific emotions from the user's input text. The analysis results include information such as whether the user is feeling stressed or emotionally unstable. The analysis results are sent to the server and used for subsequent processing.

[1067] Server-based information analysis and generation of customized advice

[1068] The server receives the analyzed emotional information and the user's questions and issues and passes them to an internal AI engine. The AI ​​engine uses natural language processing technology to generate appropriate customized advice based on the analysis results, taking the user's emotional information into consideration. If the user is feeling stressed, the advice may also include relaxation methods to reduce stress and mental health support information.

[1069] Proposals for activities and services

[1070] Based on the generated advice, the server further provides the user with information on parenting community events that the user should participate in and available local parenting support services, as well as links to related e-commerce sites where the user can easily purchase the parenting products they need.

[1071] Providing feedback to users

[1072] The server generates advice and suggestions, which are then sent to the user's device, which receives the information and displays it in a format that the user can view immediately. The user can then use the advice to improve their childcare routine and purchase products or access services via the provided links.

[1073] Child safety monitoring using IoT technology

[1074] Users use IoT devices to monitor their children's location and health status in real time. The devices continuously send data to a server, which analyzes the data and monitors for abnormalities. If an abnormality is detected, an alert is immediately generated and sent to the user's device. The user can then receive the alert and take prompt action.

[1075] Specific examples

[1076] Example 1: Questions about night crying and emotion analysis

[1077] If a user inputs "my child won't stop crying at night" and the emotion engine determines that the user is feeling stressed, the server will use this information to generate customized advice, including ways to deal with night crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[1078] Example 2: Child safety monitoring and emotional response

[1079] The location information of children wearing IoT devices is sent to a server in real time. The server analyzes this information and immediately generates an alert to notify the user if the child leaves a set area or if there is something abnormal in their health. Furthermore, if the user feels stressed by the detected abnormality, mental health support information is provided based on the information analyzed by the emotion engine.

[1080] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[1081] The processing flow will be explained below.

[1082] Step 1:

[1083] Users use their smartphones or PCs to input questions and issues about childcare, either through messaging apps like LINE or dedicated web applications.

[1084] Step 2:

[1085] The device sends the data entered by the user to a server via the Internet, including the user's emotional information.

[1086] Step 3:

[1087] The server formats the received data before sending it to the natural language processing engine, removing unnecessary information and converting it into a form that is easy to analyze.

[1088] Step 4:

[1089] The server passes the formatted data to an internal AI engine and emotion engine, which analyzes specific emotions from the user's input text and generates emotion information.

[1090] Step 5:

[1091] The server's AI engine uses natural language processing technology to analyze users' questions and issues, extracting key keywords and related information, while also taking into account the user's emotional information received from the emotion engine.

[1092] Step 6:

[1093] Based on the analysis results and emotional information, the AI ​​engine generates customized advice, including relaxation techniques and mental health support information tailored to the user's emotional state.

[1094] Step 7:

[1095] The server compiles the generated advice with information on related childcare activities and local childcare support services, and if necessary, generates links to e-commerce sites so that users can easily purchase the items they need.

[1096] Step 8:

[1097] The server sends compiled advice and suggestions to the user's device, where the information is displayed for immediate review.

[1098] Step 9:

[1099] Users can check the advice and suggestions displayed on their device and take action based on them when raising their children, or purchase products or access childcare support services through the provided links.

[1100] Step 10:

[1101] Users attach an IoT device to their child to monitor their location and health, and the device then transmits the data to a server in real time.

[1102] Step 11:

[1103] The IoT device sends real-time location and health information of the child to a server, which monitors this data and checks for any abnormalities.

[1104] Step 12:

[1105] If an abnormality is detected, the server immediately generates an alert message and sends it to the user's device, allowing the user to respond promptly.

[1106] Step 13:

[1107] The terminal receives the alert message and immediately notifies the user, who can then take the necessary action promptly based on the alert.

[1108] Specific examples

[1109] Example 1: Questions about night crying and emotion analysis

[1110] Step 1:

[1111] The user inputs a question about childcare such as "My child won't stop crying at night. What should I do?"

[1112] Step 2:

[1113] The terminal transmits question data to the server and emotion information to the emotion engine.

[1114] Step 3:

[1115] The server formats the received data and passes it to the natural language processing engine and emotion engine.

[1116] Step 4:

[1117] The emotion engine analyzes that the user is feeling high stress and generates emotion information.

[1118] Step 5:

[1119] The artificial intelligence engine analyzes the questions and generates solutions to address nighttime crying, while also taking into account emotional information from the emotion engine.

[1120] Step 6:

[1121] The generated advice includes specific strategies for dealing with night crying (e.g., holding and rocking the baby, using white noise) as well as relaxation techniques (e.g., deep breathing, listening to soothing music).

[1122] Step 7:

[1123] The server generates feedback by compiling relaxation methods for stress reduction along with parenting advice.

[1124] Step 8:

[1125] The server transmits the generated feedback to the user's terminal.

[1126] Step 9:

[1127] Users review the feedback, take action, and try relaxation techniques to reduce stress.

[1128] Example 2: Child safety monitoring and emotional response

[1129] Step 10:

[1130] Users wear IoT devices to monitor their children's location and health status and collect data.

[1131] Step 11:

[1132] The IoT device sends the collected data to a server.

[1133] Step 12:

[1134] The server monitors the data and immediately generates an alert message if the child goes outside the set range or if there is an abnormality.

[1135] Step 13:

[1136] The terminal receives the alert message and notifies the user.

[1137] Step 14:

[1138] Users can check the alerts and respond quickly.The system also provides mental health support information based on stress information analyzed by the emotion engine.

[1139] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[1140] Example 2

[1141] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1142] Many parents today face various challenges and stresses related to child-rearing, as well as an information overload and difficulty in obtaining appropriate support. Therefore, systems that provide efficient and psychological support to parents are needed. In particular, systems that provide customized advice that takes into account the user's emotional state and monitor the safety of their children in real time are needed.

[1143] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1144] In this invention, the server includes an information processing device for users to input questions and challenges related to childcare, a data processing device that receives input from the information processing device and analyzes the input using natural language processing technology, means for generating customized user guidance based on the analyzed input using a knowledge processing device connected to the data processing device, means for transmitting the generated user guidance and answers including suggestions for childcare activities and childcare support services to the information processing device, means for generating and providing links to e-commerce sites where users can purchase necessary items based on the user guidance, means for monitoring the safety of minors using a device connected via a communication network, and means for monitoring location information and health status data of minors obtained from the device in real time and generating and transmitting an alert to the information processing device if an abnormality is detected. This allows users to easily obtain information about childcare, and further enables the provision of appropriate advice taking into account the user's emotional state and ensuring the safety of children.

[1145] An "information processing device" is an electronic device that allows a user to input questions and tasks related to child rearing.

[1146] A "data processing device" is a device that receives input from the information processing device and analyzes the input using natural language processing techniques.

[1147] A "knowledge processor" is a device connected to the data processor that generates customized user instructions based on the analyzed input.

[1148] "User guidance" refers to specific advice and suggestions about childcare provided to users.

[1149] "Response" refers to information that includes the generated user guidance and suggestions regarding childcare activities and childcare support services.

[1150] An "e-commerce site link" is information connecting to a website where a user can purchase the goods they need.

[1151] A "communications network" is a network for interconnecting information processing devices, data processing devices, knowledge processing devices, and other devices.

[1152] "Device" refers to equipment connected via a communications network for monitoring the safety of minors.

[1153] "Minor location information" is data indicating the current location of a minor.

[1154] "Health status data" refers to data that indicates information about the physical condition and health of a minor.

[1155] An "alert" is a notification generated when an anomaly is detected in a minor's safety or health.

[1156] This invention is a system that allows users to input questions and challenges about childcare and provides customized advice and feedback based on that information. It also has the function of monitoring child safety in real time. To implement this invention, an information processing device, a data processing device, a knowledge processing device, a communication network, and related software are required.

[1157] User questions and issues

[1158] Users input questions and issues about childcare using information processing devices such as smartphones or PCs, and the input data is easily transmitted via messaging apps or dedicated web applications.

[1159] Emotion analysis

[1160] When a user's input is received through the information processing device, the data processing device analyzes the input data. In this process, natural language processing techniques are used to extract emotional information from the text. The emotion engine analyzes the user's text and identifies, for example, whether the user is feeling stressed or anxious, and stores the analysis results on a server.

[1161] Generating customized advice

[1162] The knowledge processing device then generates customized advice based on the emotional information received from the data processing device and the parenting questions and challenges. The artificial intelligence engine uses natural language processing technology to provide optimal advice that addresses the user's emotional state and specific parenting challenges. This advice may include specific parenting strategies and relaxation techniques.

[1163] Feedback and Suggestions

[1164] The generated advice and suggestions for childcare activities and support services are sent to the user's information processing device. The suggestions include information about childcare events held in the local community and links to related e-commerce sites, allowing the user to easily purchase the necessary items.

[1165] Child Safety Monitoring

[1166] The device, connected via a communication network, monitors children's location and health status data in real time. The data acquired by the device is sent to a server, and if an abnormality is detected, an alert is immediately generated and notified to the user. This allows for comprehensive monitoring of children's health and safety.

[1167] Specific examples

[1168] Example 1: Questions about night crying and emotion analysis

[1169] If a user types, "My child won't stop crying at night. What should I do?", the emotion engine will analyze that the user is feeling stressed. The knowledge processor will then generate customized advice, including ways to deal with nighttime crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[1170] Example 2: Child safety monitoring and emotional response

[1171] When a user uses an IoT device to monitor their child's location in real time, the server analyzes this information and immediately generates a warning to notify the user if the child leaves a designated safe area or if there is something wrong with their health. Furthermore, if the user feels stressed by this abnormality detection, mental health support information is provided based on the information analyzed by the emotion engine.

[1172] Prompt Sentence Examples

[1173] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[1174] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1175] Step 1:

[1176] Users use an information processing device (smartphone or PC) to input questions or issues related to childcare. The input method is a messaging app or a dedicated web application. The input text data is sent from the information processing device to a data processing device.

[1177] Input: User-entered parenting questions or challenges (e.g., "My child won't stop crying at night. What should I do?")

[1178] Output: The input text data

[1179] Step 2:

[1180] The data processing device installed on the server analyzes the received input data using natural language processing technology. This analysis extracts the linguistic features of the text and identifies emotional information. Specifically, it analyzes keywords and context within the text to determine whether the user is feeling stressed.

[1181] Input: Text data entered by the user

[1182] Output: Extracted emotion information (e.g., stress, confusion)

[1183] Step 3:

[1184] The data processor sends this emotional information to the knowledge processor, which generates customized user guidance based on the emotional information and text data. It uses an artificial intelligence engine to suggest optimal advice and relaxation methods. It also incorporates specific parenting strategies from trusted sources.

[1185] Input: Emotion information and text data

[1186] Output: Customized user guidance (e.g., measures to deal with night crying, relaxation techniques)

[1187] Step 4:

[1188] The server compiles the generated user guidance and suggestions for childcare activities and childcare support services and transmits them to the user's information processing device. The suggestions may also include information about childcare events held in the local community and links to e-commerce sites.

[1189] Input: Customized User Instructions

[1190] Output: Feedback sent to the user's device (e.g., specific suggestions for dealing with night crying and information about childcare events)

[1191] Step 5:

[1192] The user receives the feedback and checks the content on the information processing device, and then purchases the necessary items or participates in the suggested childcare event using the provided link.

[1193] Input: Feedback sent by the server

[1194] Output: User access, purchase, and participation actions (e.g., purchasing healing music, registering for an event)

[1195] Step 6:

[1196] Users can monitor their children's location and health status in real time using devices (IoT devices) connected via a communication network. Data from these devices is sent to a server, and if an abnormality is detected, an alert is generated immediately. This ensures the safety of children and enables prompt response in the event of an abnormality.

[1197] Input: Location and health data sent from IoT devices

[1198] Output: Warning notification when an abnormality is detected (e.g., an alert when a child goes outside a set safe area)

[1199] Specific examples of operation

[1200] When a user types "My child won't stop crying at night. What should I do?" into their smartphone, this data is sent to the server. The emotion engine in the server identifies "stress" and suggests "deep breathing" and "soothing music" as countermeasures for night crying. Based on this, the knowledge processing device generates customized advice and sends feedback to the user's device. The user can then click the provided link to purchase the soothing music.

[1201] Prompt Sentence Examples

[1202] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[1203] (Application example 2)

[1204] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1205] Many parents have concerns and questions about childcare, and there is a need to appropriately analyze their emotions and stress and respond to them individually. However, conventional systems lack the functionality to analyze emotions and provide customized advice for stress reduction, and there are no effective means to reduce the mental burden on parents raising children. At the same time, it is also important to monitor the safety of children and respond quickly and accurately when abnormalities occur.

[1206] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1207] In this invention, the server includes means for analyzing emotional information using an emotion engine that analyzes the user's emotions and generating customized advice based on the analysis results, means for transmitting the generated advice to the user's terminal and providing feedback suggesting childcare activities and relaxation methods, and means for analyzing the user's emotional state when an abnormality is detected and providing feedback for stress reduction. This makes it possible to provide comprehensive support for childcare activities and ensure the safety of children while reducing the user's mental stress.

[1208] A "childcare support system" is a system that accepts questions and issues from users regarding childcare and provides them with customized advice and suggestions.

[1209] The "emotion engine" is a technology that analyzes emotions from the user's input text and customizes the advice content based on the analysis results.

[1210] "Natural language processing technology" is a technology for analyzing text data entered by a user and understanding the meaning of the language.

[1211] "Artificial Intelligence Engine" means an engine that uses artificial intelligence technology to analyze input data and generate appropriate customized advice.

[1212] "Customized advice" is advice or suggestions that are individually tailored to a user's specific questions or challenges, as well as their emotional state.

[1213] An "IoT device" is a device that is connected via the Internet to monitor children's location and health data in real time.

[1214] A "security alert" is a warning notification sent to the user when an abnormality is detected based on data obtained from an IoT device.

[1215] "Relaxation methods" are specific methods or suggestions for reducing the user's stress (e.g., deep breathing, healing music).

[1216] "Feedback" is customized advice, suggestions, and related information provided in response to a user's question or challenge.

[1217] "Local Community Events" is information about childcare-related events and workshops held in the local area.

[1218] System Configuration

[1219] The childcare support system of the present invention includes a server that receives user questions and task inputs and analyzes them using natural language processing technology, an emotion engine that analyzes the user's emotions, a means for generating customized advice using an artificial intelligence engine, a means for sending feedback including suggestions regarding childcare activities and childcare support services to a user terminal, a means for generating and providing links to e-commerce sites so that users can easily purchase necessary items, an IoT device for monitoring child safety, and a means for generating and sending an alert to a user terminal when an abnormality is detected.

[1220] Program processing explanation

[1221] 1. Receiving input data

[1222] The server provides a messaging app and dedicated web application that allows users to input questions and challenges about childcare using their smartphones or PCs, making it easy for users to send their questions and challenges.

[1223] Example: "My child won't stop crying at night."

[1224] 2. Emotion analysis

[1225] The server receives the user's input text and analyzes the text for emotions using an emotion engine. The emotion engine uses natural language processing technology based on TensorFlow. The analysis results include information such as whether the user is feeling stressed or emotionally unstable.

[1226] 3. Customized Advice Generation

[1227] An artificial intelligence engine connected to the server generates customized advice based on emotional information and user input data. This AI engine uses a generative AI model. In particular, if the user is feeling stressed, advice is generated that includes relaxation techniques and mental health support information.

[1228] 4. Send Feedback

[1229] The generated advice and suggestions for childcare support services are sent from the server to the user's device, allowing the user to immediately check the advice.

[1230] Example prompt sentence:

[1231] Users input specific parenting concerns, and the emotion engine analyzes the text and generates appropriate feedback.

[1232] My child won't stop crying in the middle of the night. What should I do?

[1233] 5. Child Safety Monitoring

[1234] IoT devices monitor children's location and health status data in real time. The server analyzes this data and generates an alert if an abnormality is detected, sending a notification to the user's device. At the same time, the user's emotional state is also analyzed, and appropriate feedback is provided if stress levels are high.

[1235] Specific examples

[1236] Questions about night crying and emotion analysis

[1237] If a user inputs "my child won't stop crying at night" and the emotion engine analyzes that the user is under high stress, the server will generate customized advice including measures to combat night crying and relaxation techniques to reduce stress. It will also provide information about nearby stress management workshops.

[1238] Child abnormality detection and alerts

[1239] The location information of children wearing IoT devices is sent to a server in real time, and if they go outside a set area or if there is something wrong with their health, an alert is immediately generated to notify the user. Furthermore, if the emotion engine analyzes that the user is feeling stressed due to the detected abnormality, mental health support information will also be provided.

[1240] Through the above process, the system provides customized parenting advice that takes into account the user's emotional state, ensuring the overall safety of children.

[1241] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1242] Step 1:

[1243] Users use their smartphones or PCs to input questions or issues about childcare. Input is done through messaging apps or dedicated web applications. The data entered by users is in text format and includes specific concerns or questions.

[1244] Input: Text entered by the user (e.g., "My child won't stop crying at night")

[1245] Output: The input text is sent to the server

[1246] Step 2:

[1247] The server passes the received input text to the emotion engine for emotion analysis. The emotion engine uses natural language processing technology to analyze the text content and determine the user's emotional state (e.g., stress, excitement, calm, etc.).

[1248] Input: Text data sent to the server

[1249] Output: Analysis of the user's emotional state (e.g., "high stress")

[1250] Step 3:

[1251] The server then passes the data to an AI engine based on the analysis results to generate customized advice. The AI ​​engine uses the analysis results and past data to create specific advice and suggestions for the user.

[1252] Input: Sentiment analysis results and user text input

[1253] Output: Customized advice (e.g., "Try deep breathing to combat night crying.")

[1254] Step 4:

[1255] The server sends the generated advice to the user's device, allowing the user to receive appropriate advice and suggestions in real time. The system also provides information on childcare support communities and links to e-commerce sites.

[1256] Input: Customized Advice

[1257] Output: Advice and related information sent to the user's terminal

[1258] Step 5:

[1259] IoT devices transmit real-time location and health information of children to a server, which actively monitors this data and immediately generates an alert to notify the user if an abnormality is detected.

[1260] Input: Real-time data from IoT devices (location, health data)

[1261] Output: Anomaly detection alert and notification to user device

[1262] Step 6:

[1263] When an abnormality is detected, the server re-analyzes the user's emotions and, if the user is feeling stressed, generates and provides additional feedback to the user, including mental health support information and relaxation techniques.

[1264] Input: Sentiment analysis results again, and anomaly detection facts

[1265] Output: Mental health support information and additional feedback

[1266] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1267] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1268] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1269] [Fourth embodiment]

[1270] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1271] 7, a 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.

[1272] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1273] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1274] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1275] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1276] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1277] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1278] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1279] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1280] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1281] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1282] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1283] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also uses IoT devices to monitor children's safety and sends alerts to users in the event of an abnormality. The operation of this system is described in detail below.

[1284] Explaining program processing in natural language

[1285] User questions and issues

[1286] Users (parents) access the system using smartphones or PCs. Through these devices, they input specific questions and issues about childcare in text format using messaging apps such as LINE or a dedicated web app. This input data is sent to a server via the Internet.

[1287] Server-based information analysis and generation of customized advice

[1288] The server receives input data from users and passes it to an internal AI engine. The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the analysis, it then generates customized advice and suggestions, including parenting tips, specific strategies, and recommended activities and services.

[1289] Proposals for activities and services

[1290] Based on the generated advice, the server further provides users with information on childcare community events they should participate in and available local childcare support services. It also generates links to related e-commerce sites so that users can easily purchase the childcare products they need. This allows users to obtain the information and products they need in one place within the system.

[1291] Providing feedback to users

[1292] The advice and suggestions generated by the server are then sent back to the user's device, where they are displayed in a format that can be viewed immediately by the user. The user can then use the advice to improve their childcare routine, and if necessary, purchase products or participate in events using the provided links.

[1293] Child safety monitoring using IoT technology

[1294] Users attach an IoT device to their child to monitor their safety. This device sends the child's location and health status in real time to a server. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user can receive this alert and take prompt action.

[1295] Specific examples

[1296] Example 1: Question about night crying

[1297] The user enters a question such as "My child won't stop crying at night." The server passes this question to an artificial intelligence engine, which then generates "measures to combat nighttime crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. Information about nearby childcare consultation events and links to products specifically advertised for the white nights are also provided. Users can take measures based on this information.

[1298] Example 2: Child Safety Monitoring

[1299] The location information of children wearing IoT devices is sent to a server in real time. If the child goes outside a set area or shows signs of illness, the server instantly sends an alert to the user's device. The user receives the alert and can take immediate action. This ensures the safety of children.

[1300] This system is designed to address the various challenges parents face while raising their children, allowing them to focus on raising their children with peace of mind.

[1301] The processing flow will be explained below.

[1302] Step 1:

[1303] Users will use their smartphones or PCs to input questions and issues about childcare, and may use messaging apps like LINE or dedicated web applications.

[1304] Step 2:

[1305] The terminal transmits the input data to a server via the Internet, where the data is converted into an appropriate format and transmitted as a request to the server.

[1306] Step 3:

[1307] The server formats the received data before sending it to the natural language processing engine, primarily to remove unnecessary information and convert it into a format that is easier to parse.

[1308] Step 4:

[1309] The server then passes the formatted data to an internal AI engine, which uses natural language processing technology to analyze the user's question or issue and extract key keywords and related information.

[1310] Step 5:

[1311] Based on the extracted keywords, the artificial intelligence engine references a childcare database and existing advice resources to generate customized advice.

[1312] Step 6:

[1313] The server compiles the generated advice with information on related childcare activities and local childcare support services, etc. It also collects product information from e-commerce sites as needed and generates links that allow users to easily purchase the product.

[1314] Step 7:

[1315] The server sends the compiled advice and suggestions to the user's device, where the information is presented in a format that the user can easily review.

[1316] Step 8:

[1317] Users can check the advice and suggestions displayed on their device and take action based on them, and can also use the provided links to purchase necessary items or access childcare support services.

[1318] Step 9:

[1319] To monitor their children's safety, users prepare an IoT device and attach it to their child, which then collects information on the child's location and health status in real time.

[1320] Step 10:

[1321] IoT devices send the collected data to a server, which monitors the data and checks for any anomalies.

[1322] Step 11:

[1323] The server immediately generates an alert message and sends it to the user's device if an abnormality is detected, including when the user moves out of the location information range.

[1324] Step 12:

[1325] The terminal receives the alert message and promptly notifies the user, who can then take the necessary action promptly based on the alert.

[1326] In this way, the system provides users with comprehensive support to quickly resolve childcare-related questions and issues and ensure the safety of their children.

[1327] Example 1

[1328] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1329] In modern childcare, parents are required to access numerous information sources and support services, but it can be challenging to use them effectively. They also need a system that can monitor their child's safety in real time and respond quickly to emergencies. Traditional systems lack comprehensive solutions to address these challenges. Therefore, there is a need for a system that provides customized advice for parenting questions and challenges, as well as integrated child safety monitoring capabilities.

[1330] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1331] In this invention, the server includes means for analyzing user questions and issues using natural language processing technology, means for generating customized advice based on the analysis results, means for transmitting the generated advice and suggestions to the user terminal, and means for monitoring child safety using IoT devices connected via the Internet. This makes it possible to address various child-rearing issues, provide customized advice, and monitor child safety in real time.

[1332] A "terminal" is a device that a user uses to input questions and tasks related to childcare, and includes, for example, a smartphone or a personal computer.

[1333] A "user" is an individual who utilizes the system to input parenting questions and challenges and receive customized advice and suggestions.

[1334] A "server" is a central data processing unit that receives input data from users, analyzes and processes it, and generates customized advice and suggestions.

[1335] "Natural language processing technology" is a technology used to analyze text data entered by a user and understand its meaning.

[1336] An "artificial intelligence engine" is a software engine for generating customized advice and suggestions based on data analyzed using natural language processing techniques.

[1337] "Feedback" is server-generated response information to the user, including advice and suggestions, and information about parenting activities and parenting support services.

[1338] An "e-commerce site" is a website through which users can purchase childcare related items over the Internet.

[1339] An "IoT device" is an internet-connected device that monitors a child's location and health status in real time and sends that data to a server.

[1340] "Location information" is data that indicates the child's current location.

[1341] "Health status data" refers to data related to a child's physical condition and health, including, for example, heart rate and body temperature.

[1342] An "alert" is a warning message sent to the user when the server detects an abnormality.

[1343] The present invention is a system that includes a terminal for users to input questions and issues about childcare, a server that analyzes the input and generates appropriate advice and suggestions, and a system that provides related childcare support information. It also has a function that uses IoT devices to monitor children's safety and notify users with an alert in the event of an abnormality.

[1344] System Overview

[1345] User questions and issues

[1346] Users (parents) access the system using a smartphone or personal computer. They use messaging apps like LINE or a dedicated web app to enter specific questions and issues about childcare in text format. This input data is sent to a server via the Internet.

[1347] Server-based information analysis and generation of customized advice

[1348] The server receives the input data sent by the user and passes it to an internal AI engine (e.g., GPT-3). The AI ​​engine uses natural language processing technology to analyze the input data and understand the user's intent. Based on the results, it generates customized advice including parenting tips and specific countermeasures.

[1349] Proposals for activities and services

[1350] Based on the generated advice, the server provides users with information on childcare community events and local childcare support services, and also generates links to related e-commerce sites so that users can purchase the necessary items. This allows users to obtain the necessary information and items all at once through the system.

[1351] Providing feedback to users

[1352] The server sends the generated advice and suggestions to the user's device, which then displays the received information in a format that the user can view immediately. The user can then use the advice to take care of their child, and if necessary, purchase products or participate in events using the provided links.

[1353] Child safety monitoring using IoT technology

[1354] To monitor their safety, users attach an IoT device to their children. This device sends the child's location and health status to a server in real time. The server continuously analyzes this data, and if an abnormality is detected, it immediately generates an alert message and notifies the user's device. The user receives this alert and can respond quickly to ensure the safety of their child.

[1355] Specific examples

[1356] Example 1: Question about night crying

[1357] The user enters a question such as "My child won't stop crying at night." The server sends this question to an artificial intelligence engine, which generates "measures to combat night crying" as an analysis result. Specifically, practical methods such as "holding and rocking the child" and "using white noise" are suggested. The service also provides information about nearby childcare consultation events and links to products to combat night crying. Users can take measures based on this information.

[1358] Example 2: Child Safety Monitoring

[1359] The location information of children wearing IoT devices is sent to a server in real time. If the child leaves a designated area or shows signs of illness, the server immediately sends an alert to the user's device. The user receives the alert and can take immediate action to ensure the safety of their child.

[1360] Prompt Sentence Examples

[1361] 1. Type your question: "My child cries a lot at night. What should I do?"

[1362] 2. IoT Monitoring Notifications: "Set up an alert when your child leaves a designated area."

[1363] This system is designed to provide optimal support for the various challenges parents face while raising children.

[1364] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1365] Step 1:

[1366] User input of questions and issues

[1367] 1. Users access the system using a smartphone or personal computer.

[1368] 2. Users open LINE or a dedicated web app and enter their childcare-related questions or issues in text format.

[1369] Input: Text data entered by the user (e.g., "My child won't stop crying at night")

[1370] Output: The input data is sent to a server over the internet.

[1371] Step 2:

[1372] Receiving and analyzing information by the server

[1373] 1. The server receives the text data sent from the user's device.

[1374] 2. The server passes the received text data to an internal artificial intelligence engine (e.g., GPT-3).

[1375] Input: Text data sent by the user

[1376] Output: Text data to be analyzed and passed to the AI ​​engine

[1377] Step 3:

[1378] Natural language processing using an artificial intelligence engine

[1379] 1. The AI ​​engine uses natural language processing technology to analyze input data and understand the user's intent.

[1380] 2. Generate customized advice, such as parenting tips and coping strategies, based on the analysis results.

[1381] Input: Text data to be analyzed

[1382] Output: Customized advice generated (e.g., "Use white noise to combat night crying")

[1383] Step 4:

[1384] Server-based related information suggestions

[1385] 1. Based on the generated advice, the server searches for information on childcare community events and local childcare support services.

[1386] 2. The server generates a link to the relevant e-commerce site and provides a purchase page for the relevant item.

[1387] Input: Customized advice generation results

[1388] Output: Event information, childcare support service information, e-commerce site links

[1389] Step 5:

[1390] Providing feedback to user devices

[1391] 1. The server generates advice, suggestions, and links and sends them to the user's device.

[1392] 2. The terminal displays the received information in a form that can be immediately viewed by the user.

[1393] Input: Advice, suggestions, and links from the server

[1394] Output: Parenting advice and related information displayed on the user's device

[1395] Step 6:

[1396] User-configured IoT monitoring

[1397] 1. The user attaches an IoT device to their child to monitor their safety.

[1398] 2. The IoT device sends real-time information about the child's location and health status to a server.

[1399] Input: IoT device attached to child

[1400] Output: Real-time location and health data sent to a server

[1401] Step 7:

[1402] Server-based child safety monitoring and alert generation

[1403] 1. The server continuously monitors location and health status data obtained from IoT devices.

[1404] 2. If an abnormality is detected, the server immediately generates an alert message and notifies the user's device.

[1405] Input: Real-time data sent from IoT devices

[1406] Output: Alert message in case of abnormality

[1407] At each step, it specifically shows how the server, terminal, and user work together and how the childcare support system functions through the input and output of information.

[1408] (Application example 1)

[1409] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1410] In modern child-rearing, there are many ways to obtain information and solve problems, but it is difficult for parents to obtain prompt and appropriate advice. Furthermore, there are limited systems for monitoring children's safety in real time and responding immediately if an abnormality occurs. There is a particular need for interfaces that allow parents busy with child-rearing activities to respond quickly, and for robots to be used as a familiar means of communication.

[1411] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1412] In this invention, the server includes a terminal for a user to input questions and challenges about childcare, means for receiving the input from the user and analyzing the input using natural language processing technology, means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server, means for sending feedback to the terminal including the generated advice and suggestions for childcare activities and childcare support services, means for generating and providing links to e-commerce sites where the user can purchase necessary items based on the advice, means for monitoring child safety using IoT devices connected via the Internet, means for monitoring child location information and health status data obtained from the IoT devices in real time and generating and transmitting an alert to the terminal if an abnormality is detected, means for accepting user questions using a voice input function in the terminal, means for providing the generated advice to the user using a voice output function in the terminal, and means for the robot to monitor the child's condition using a camera and various sensors and issue a voice warning if an abnormality is detected. This allows parents to easily seek advice about childcare and ensures child safety in real time.

[1413] "Questions and challenges related to child rearing" refers to problems and doubts that parents and guardians encounter while raising their children.

[1414] A "terminal" is a device through which a user inputs a question or task, and includes, for example, a smartphone, tablet, PC, or robot.

[1415] "Analyzing input using natural language processing techniques" refers to techniques used to analyze and extract meaning from a user's text or voice input.

[1416] "Server" refers to a central computing device that receives and analyzes input data from users.

[1417] An "artificial intelligence engine" refers to algorithms and models that are connected to a server and analyze input data to generate customized advice.

[1418] The means for generating "customized advice" refers to a function that provides appropriate advice based on the user's specific situation and needs.

[1419] "Means for sending feedback" refers to a method for communicating server-generated advice and suggestions to the user.

[1420] "Means for generating and providing links to e-commerce sites" refers to a function for generating links to online stores where users can purchase the products they need and providing them to users.

[1421] "Methods of monitoring child safety using IoT devices" refers to methods of monitoring children's condition using sensors and devices connected to the Internet.

[1422] "Real-time monitoring of location and health data" refers to methods for continuously tracking a child's current location and health status and immediately detecting any abnormalities.

[1423] "Means for generating an alert and sending it to the terminal" refers to a function that generates a warning message and sends it to the user's terminal when an abnormality is detected.

[1424] "Means for accepting user questions using a voice input function" refers to a method in which a user can input a question by voice and convert it into text data.

[1425] "Means for providing advice generated using a voice output function" refers to a method in which advice generated by the server is converted into voice and conveyed to the user.

[1426] "Means for monitoring children's condition using cameras and various sensors" refers to methods for checking children's safety in real time using cameras and sensors for heart rate, temperature, etc.

[1427] "Means for issuing a voice warning" refers to a function that warns the user by voice when an abnormality in the child is detected.

[1428] Overall system configuration

[1429] This system consists of a terminal where users can input questions and issues about childcare, a server that analyzes the input and provides appropriate advice, and an IoT device for monitoring children's safety. The terminal can be a smartphone, tablet, PC, or robot, and is the device with which the user directly interfaces. The server plays a central role in analyzing data and generating advice. The IoT device monitors the child's condition in real time and generates an alert if an abnormality occurs.

[1430] Specific examples of program processing

[1431] 1. Enter your question or problem and generate advice

[1432] Users use the device to input questions or challenges related to childcare. This input is done using the voice input function and converted into text data using a voice input API (such as Google Speech-to-Text). The text data is sent to a server via the internet. On the server side, the text data is analyzed using natural language processing technology, and customized advice is generated by an internal artificial intelligence engine (such as GPT-4). The generated advice is converted into audio data using a Text-to-Speech API (such as Google Text-to-Speech) and sent to the device. The user can receive the advice through the robot's voice output function.

[1433] 2. Child Safety Monitoring

[1434] The robot is equipped with a camera and various sensors (temperature, heart rate, etc.) to monitor the child's condition in real time. These devices continuously send the child's location and health status data to a server. If the server detects an abnormality, it generates an audio alert and notifies the user via the robot.

[1435] Hardware and software used

[1436] Hardware

[1437] Audio input microphone

[1438] camera

[1439] Various sensors such as temperature sensors and heart rate sensors

[1440] speaker

[1441] Network Connectivity Module

[1442] software

[1443] Google Speech-to-Text API (converts voice input data into text data)

[1444] GPT-4 (uses a natural language processing engine to generate customized advice)

[1445] Google Text-to-Speech API (converts text data into audio data)

[1446] Specific examples

[1447] Questions about night crying

[1448] When a user voices a question such as "My child won't stop crying at night," the voice input API converts the question into text and sends it to the server. GPT-4 on the server generates advice such as "hold your child and rock them" or "use white noise" as a solution to night crying. This is converted into voice data, and the robot tells the user, "Try holding your child and rocking them gently."

[1449] Prompt Sentence Examples

[1450] What to do if your child has a fever

[1451] In this way, the system of the present invention makes it easy for parents and guardians to receive voice advice regarding child rearing, and also makes it possible to ensure the safety of children in real time.

[1452] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1453] Step 1:

[1454] The voice input function of the device is used by users to input questions and issues about childcare by voice. Specifically, a parent asks the robot, "My child won't stop crying at night," and this voice is input into the microphone.

[1455] Step 2:

[1456] The device sends the input voice data to the Google Speech-to-Text API, which converts the voice into text data. Here, the input is voice data, and the output is text data. Specifically, the voice "My child won't stop crying at night" becomes the text "My child won't stop crying at night."

[1457] Step 3:

[1458] The terminal transmits the converted text data to a server via the Internet. The input is the text data, and the output is the same text data transmitted to the server.

[1459] Step 4:

[1460] The server analyzes the received text data using natural language processing technology. A generative AI model (e.g., GPT-4) is used for this analysis. The input is text data, and the output is the intention and customized advice as the analysis result. Specific advice such as "hold the child and rock them" or "use white noise" is generated as the analysis result.

[1461] Step 5:

[1462] The server converts the generated advice into audio data using the Text-to-Speech API. The input is the text data of the customized advice, and the output is audio data. For example, "Hold your child and rock him" is converted into audio data.

[1463] Step 6:

[1464] The server sends audio data to the terminal. The input is the audio data, and the output is the sent audio data.

[1465] Step 7:

[1466] The device then transmits the received voice data to the user through a speaker. Specifically, the robot provides voice advice such as, "Try holding your child and rocking them gently."

[1467] Step 8:

[1468] The robot's onboard cameras and various sensors monitor the child in real time and send the data to a server. The input is data acquired from the sensors, and the output is real-time monitoring data, including the child's location, body temperature, heart rate, etc.

[1469] Step 9:

[1470] The server continuously analyzes the received monitoring data and generates an alert if an abnormality is detected. The input is the monitoring data and the output is an abnormality detection alert. For example, an alert is generated if a child's body temperature exceeds a set range.

[1471] Step 10:

[1472] The server sends the generated alert to the terminal. The input is the alert message and the output is the sent alert message.

[1473] Step 11:

[1474] The device will then notify the user of the received alert via voice, with the robot warning them that their child's temperature is too high.

[1475] The above are the processing steps of the system based on the present invention.

[1476] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1477] This invention is a system that recognizes a user's emotions and provides customized advice and feedback for questions and issues related to child-rearing. In particular, the system aims to reduce the user's mental stress and comprehensively enhance child-rearing support by using an emotion engine to analyze the user's emotions and further customize advice and suggestions based on the analysis results.

[1478] Explaining program processing in natural language

[1479] User questions and issues

[1480] Users input questions and issues about childcare using their smartphones or PCs. They can use messaging apps like LINE or a dedicated web application. At the same time, the input data is sent to an emotion engine, which analyzes the user's emotional information.

[1481] Emotion analysis using an emotion engine

[1482] The emotion engine analyzes specific emotions from the user's input text. The analysis results include information such as whether the user is feeling stressed or emotionally unstable. The analysis results are sent to the server and used for subsequent processing.

[1483] Server-based information analysis and generation of customized advice

[1484] The server receives the analyzed emotional information and the user's questions and issues and passes them to an internal AI engine. The AI ​​engine uses natural language processing technology to generate appropriate customized advice based on the analysis results, taking the user's emotional information into consideration. If the user is feeling stressed, the advice may also include relaxation methods to reduce stress and mental health support information.

[1485] Proposals for activities and services

[1486] Based on the generated advice, the server further provides the user with information on parenting community events that the user should participate in and available local parenting support services, as well as links to related e-commerce sites where the user can easily purchase the parenting products they need.

[1487] Providing feedback to users

[1488] The server generates advice and suggestions, which are then sent to the user's device, which receives the information and displays it in a format that the user can view immediately. The user can then use the advice to improve their childcare routine and purchase products or access services via the provided links.

[1489] Child safety monitoring using IoT technology

[1490] Users use IoT devices to monitor their children's location and health status in real time. The devices continuously send data to a server, which analyzes the data and monitors for abnormalities. If an abnormality is detected, an alert is immediately generated and sent to the user's device. The user can then receive the alert and take prompt action.

[1491] Specific examples

[1492] Example 1: Questions about night crying and emotion analysis

[1493] If a user inputs "my child won't stop crying at night" and the emotion engine determines that the user is feeling stressed, the server will use this information to generate customized advice, including ways to deal with night crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[1494] Example 2: Child safety monitoring and emotional response

[1495] The location information of children wearing IoT devices is sent to a server in real time. The server analyzes this information and immediately generates an alert to notify the user if the child leaves a set area or if there is something abnormal in their health. Furthermore, if the user feels stressed by the detected abnormality, mental health support information is provided based on the information analyzed by the emotion engine.

[1496] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[1497] The processing flow will be explained below.

[1498] Step 1:

[1499] Users use their smartphones or PCs to input questions and issues about childcare, either through messaging apps like LINE or dedicated web applications.

[1500] Step 2:

[1501] The device sends the data entered by the user to a server via the Internet, including the user's emotional information.

[1502] Step 3:

[1503] The server formats the received data before sending it to the natural language processing engine, removing unnecessary information and converting it into a form that is easy to analyze.

[1504] Step 4:

[1505] The server passes the formatted data to an internal AI engine and emotion engine, which analyzes specific emotions from the user's input text and generates emotion information.

[1506] Step 5:

[1507] The server's AI engine uses natural language processing technology to analyze users' questions and issues, extracting key keywords and related information, while also taking into account the user's emotional information received from the emotion engine.

[1508] Step 6:

[1509] Based on the analysis results and emotional information, the AI ​​engine generates customized advice, including relaxation techniques and mental health support information tailored to the user's emotional state.

[1510] Step 7:

[1511] The server compiles the generated advice with information on related childcare activities and local childcare support services, and if necessary, generates links to e-commerce sites so that users can easily purchase the items they need.

[1512] Step 8:

[1513] The server sends compiled advice and suggestions to the user's device, where the information is displayed for immediate review.

[1514] Step 9:

[1515] Users can check the advice and suggestions displayed on their device and take action based on them when raising their children, or purchase products or access childcare support services through the provided links.

[1516] Step 10:

[1517] Users attach an IoT device to their child to monitor their location and health, and the device then transmits the data to a server in real time.

[1518] Step 11:

[1519] The IoT device sends real-time location and health information of the child to a server, which monitors this data and checks for any abnormalities.

[1520] Step 12:

[1521] If an abnormality is detected, the server immediately generates an alert message and sends it to the user's device, allowing the user to respond promptly.

[1522] Step 13:

[1523] The terminal receives the alert message and immediately notifies the user, who can then take the necessary action promptly based on the alert.

[1524] Specific examples

[1525] Example 1: Questions about night crying and emotion analysis

[1526] Step 1:

[1527] The user inputs a question about childcare such as "My child won't stop crying at night. What should I do?"

[1528] Step 2:

[1529] The terminal transmits question data to the server and emotion information to the emotion engine.

[1530] Step 3:

[1531] The server formats the received data and passes it to the natural language processing engine and emotion engine.

[1532] Step 4:

[1533] The emotion engine analyzes that the user is feeling high stress and generates emotion information.

[1534] Step 5:

[1535] The artificial intelligence engine analyzes the questions and generates solutions to address nighttime crying, while also taking into account emotional information from the emotion engine.

[1536] Step 6:

[1537] The generated advice includes specific strategies for dealing with night crying (e.g., holding and rocking the baby, using white noise) as well as relaxation techniques (e.g., deep breathing, listening to soothing music).

[1538] Step 7:

[1539] The server generates feedback by compiling relaxation methods for stress reduction along with parenting advice.

[1540] Step 8:

[1541] The server transmits the generated feedback to the user's terminal.

[1542] Step 9:

[1543] Users review the feedback, take action, and try relaxation techniques to reduce stress.

[1544] Example 2: Child safety monitoring and emotional response

[1545] Step 10:

[1546] Users wear IoT devices to monitor their children's location and health status and collect data.

[1547] Step 11:

[1548] The IoT device sends the collected data to a server.

[1549] Step 12:

[1550] The server monitors the data and immediately generates an alert message if the child goes outside the set range or if there is an abnormality.

[1551] Step 13:

[1552] The terminal receives the alert message and notifies the user.

[1553] Step 14:

[1554] Users can check the alerts and respond quickly.The system also provides mental health support information based on stress information analyzed by the emotion engine.

[1555] In this way, the system takes into account the user's emotional state, provides customized parenting advice, and ensures overall child safety.

[1556] Example 2

[1557] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1558] Many parents today face various challenges and stresses related to child-rearing, as well as an information overload and difficulty in obtaining appropriate support. Therefore, systems that provide efficient and psychological support to parents are needed. In particular, systems that provide customized advice that takes into account the user's emotional state and monitor the safety of their children in real time are needed.

[1559] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1560] In this invention, the server includes an information processing device for users to input questions and challenges related to childcare, a data processing device that receives input from the information processing device and analyzes the input using natural language processing technology, means for generating customized user guidance based on the analyzed input using a knowledge processing device connected to the data processing device, means for transmitting the generated user guidance and answers including suggestions for childcare activities and childcare support services to the information processing device, means for generating and providing links to e-commerce sites where users can purchase necessary items based on the user guidance, means for monitoring the safety of minors using a device connected via a communication network, and means for monitoring location information and health status data of minors obtained from the device in real time and generating and transmitting an alert to the information processing device if an abnormality is detected. This allows users to easily obtain information about childcare, and further enables the provision of appropriate advice taking into account the user's emotional state and ensuring the safety of children.

[1561] An "information processing device" is an electronic device that allows a user to input questions and tasks related to child rearing.

[1562] A "data processing device" is a device that receives input from the information processing device and analyzes the input using natural language processing techniques.

[1563] A "knowledge processor" is a device connected to the data processor that generates customized user instructions based on the analyzed input.

[1564] "User guidance" refers to specific advice and suggestions about childcare provided to users.

[1565] "Response" refers to information that includes the generated user guidance and suggestions regarding childcare activities and childcare support services.

[1566] An "e-commerce site link" is information connecting to a website where a user can purchase the goods they need.

[1567] A "communications network" is a network for interconnecting information processing devices, data processing devices, knowledge processing devices, and other devices.

[1568] "Device" refers to equipment connected via a communications network for monitoring the safety of minors.

[1569] "Minor location information" is data indicating the current location of a minor.

[1570] "Health status data" refers to data that indicates information about the physical condition and health of a minor.

[1571] An "alert" is a notification generated when an anomaly is detected in a minor's safety or health.

[1572] This invention is a system that allows users to input questions and challenges about childcare and provides customized advice and feedback based on that information. It also has the function of monitoring child safety in real time. To implement this invention, an information processing device, a data processing device, a knowledge processing device, a communication network, and related software are required.

[1573] User questions and issues

[1574] Users input questions and issues about childcare using information processing devices such as smartphones or PCs, and the input data is easily transmitted via messaging apps or dedicated web applications.

[1575] Emotion analysis

[1576] When a user's input is received through the information processing device, the data processing device analyzes the input data. In this process, natural language processing techniques are used to extract emotional information from the text. The emotion engine analyzes the user's text and identifies, for example, whether the user is feeling stressed or anxious, and stores the analysis results on a server.

[1577] Generating customized advice

[1578] The knowledge processing device then generates customized advice based on the emotional information received from the data processing device and the parenting questions and challenges. The artificial intelligence engine uses natural language processing technology to provide optimal advice that addresses the user's emotional state and specific parenting challenges. This advice may include specific parenting strategies and relaxation techniques.

[1579] Feedback and Suggestions

[1580] The generated advice and suggestions for childcare activities and support services are sent to the user's information processing device. The suggestions include information about childcare events held in the local community and links to related e-commerce sites, allowing the user to easily purchase the necessary items.

[1581] Child Safety Monitoring

[1582] The device, connected via a communication network, monitors children's location and health status data in real time. The data acquired by the device is sent to a server, and if an abnormality is detected, an alert is immediately generated and notified to the user. This allows for comprehensive monitoring of children's health and safety.

[1583] Specific examples

[1584] Example 1: Questions about night crying and emotion analysis

[1585] If a user types, "My child won't stop crying at night. What should I do?", the emotion engine will analyze that the user is feeling stressed. The knowledge processor will then generate customized advice, including ways to deal with nighttime crying and relaxation techniques to reduce stress (e.g., deep breathing or soothing music). It will also provide information about nearby stress management workshops and parenting consultation events.

[1586] Example 2: Child safety monitoring and emotional response

[1587] When a user uses an IoT device to monitor their child's location in real time, the server analyzes this information and immediately generates a warning to notify the user if the child leaves a designated safe area or if there is something wrong with their health. Furthermore, if the user feels stressed by this abnormality detection, mental health support information is provided based on the information analyzed by the emotion engine.

[1588] Prompt Sentence Examples

[1589] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[1590] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1591] Step 1:

[1592] Users use an information processing device (smartphone or PC) to input questions or issues related to childcare. The input method is a messaging app or a dedicated web application. The input text data is sent from the information processing device to a data processing device.

[1593] Input: User-entered parenting questions or challenges (e.g., "My child won't stop crying at night. What should I do?")

[1594] Output: The input text data

[1595] Step 2:

[1596] The data processing device installed on the server analyzes the received input data using natural language processing technology. This analysis extracts the linguistic features of the text and identifies emotional information. Specifically, it analyzes keywords and context within the text to determine whether the user is feeling stressed.

[1597] Input: Text data entered by the user

[1598] Output: Extracted emotion information (e.g., stress, confusion)

[1599] Step 3:

[1600] The data processor sends this emotional information to the knowledge processor, which generates customized user guidance based on the emotional information and text data. It uses an artificial intelligence engine to suggest optimal advice and relaxation methods. It also incorporates specific parenting strategies from trusted sources.

[1601] Input: Emotion information and text data

[1602] Output: Customized user guidance (e.g., measures to deal with night crying, relaxation techniques)

[1603] Step 4:

[1604] The server compiles the generated user guidance and suggestions for childcare activities and childcare support services and transmits them to the user's information processing device. The suggestions may also include information about childcare events held in the local community and links to e-commerce sites.

[1605] Input: Customized User Instructions

[1606] Output: Feedback sent to the user's device (e.g., specific suggestions for dealing with night crying and information about childcare events)

[1607] Step 5:

[1608] The user receives the feedback and checks the content on the information processing device, and then purchases the necessary items or participates in the suggested childcare event using the provided link.

[1609] Input: Feedback sent by the server

[1610] Output: User access, purchase, and participation actions (e.g., purchasing healing music, registering for an event)

[1611] Step 6:

[1612] Users can monitor their children's location and health status in real time using devices (IoT devices) connected via a communication network. Data from these devices is sent to a server, and if an abnormality is detected, an alert is generated immediately. This ensures the safety of children and enables prompt response in the event of an abnormality.

[1613] Input: Location and health data sent from IoT devices

[1614] Output: Warning notification when an abnormality is detected (e.g., an alert when a child goes outside a set safe area)

[1615] Specific examples of operation

[1616] When a user types "My child won't stop crying at night. What should I do?" into their smartphone, this data is sent to the server. The emotion engine in the server identifies "stress" and suggests "deep breathing" and "soothing music" as countermeasures for night crying. Based on this, the knowledge processing device generates customized advice and sends feedback to the user's device. The user can then click the provided link to purchase the soothing music.

[1617] Prompt Sentence Examples

[1618] "Please tell me how to deal with night crying and how to help my baby relax. I'm currently feeling very stressed."

[1619] (Application example 2)

[1620] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1621] Many parents have concerns and questions about childcare, and there is a need to appropriately analyze their emotions and stress and respond to them individually. However, conventional systems lack the functionality to analyze emotions and provide customized advice for stress reduction, and there are no effective means to reduce the mental burden on parents raising children. At the same time, it is also important to monitor the safety of children and respond quickly and accurately when abnormalities occur.

[1622] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1623] In this invention, the server includes means for analyzing emotional information using an emotion engine that analyzes the user's emotions and generating customized advice based on the analysis results, means for transmitting the generated advice to the user's terminal and providing feedback suggesting childcare activities and relaxation methods, and means for analyzing the user's emotional state when an abnormality is detected and providing feedback for stress reduction. This makes it possible to provide comprehensive support for childcare activities and ensure the safety of children while reducing the user's mental stress.

[1624] A "childcare support system" is a system that accepts questions and issues from users regarding childcare and provides them with customized advice and suggestions.

[1625] The "emotion engine" is a technology that analyzes emotions from the user's input text and customizes the advice content based on the analysis results.

[1626] "Natural language processing technology" is a technology for analyzing text data entered by a user and understanding the meaning of the language.

[1627] "Artificial Intelligence Engine" means an engine that uses artificial intelligence technology to analyze input data and generate appropriate customized advice.

[1628] "Customized advice" is advice or suggestions that are individually tailored to a user's specific questions or challenges, as well as their emotional state.

[1629] An "IoT device" is a device that is connected via the Internet to monitor children's location and health data in real time.

[1630] A "security alert" is a warning notification sent to the user when an abnormality is detected based on data obtained from an IoT device.

[1631] "Relaxation methods" are specific methods or suggestions for reducing the user's stress (e.g., deep breathing, healing music).

[1632] "Feedback" is customized advice, suggestions, and related information provided in response to a user's question or challenge.

[1633] "Local Community Events" is information about childcare-related events and workshops held in the local area.

[1634] System Configuration

[1635] The childcare support system of the present invention includes a server that receives user questions and task inputs and analyzes them using natural language processing technology, an emotion engine that analyzes the user's emotions, a means for generating customized advice using an artificial intelligence engine, a means for sending feedback including suggestions regarding childcare activities and childcare support services to a user terminal, a means for generating and providing links to e-commerce sites so that users can easily purchase necessary items, an IoT device for monitoring child safety, and a means for generating and sending an alert to a user terminal when an abnormality is detected.

[1636] Program processing explanation

[1637] 1. Receiving input data

[1638] The server provides a messaging app and dedicated web application that allows users to input questions and challenges about childcare using their smartphones or PCs, making it easy for users to send their questions and challenges.

[1639] Example: "My child won't stop crying at night."

[1640] 2. Emotion analysis

[1641] The server receives the user's input text and analyzes the text for emotions using an emotion engine. The emotion engine uses natural language processing technology based on TensorFlow. The analysis results include information such as whether the user is feeling stressed or emotionally unstable.

[1642] 3. Customized Advice Generation

[1643] An artificial intelligence engine connected to the server generates customized advice based on emotional information and user input data. This AI engine uses a generative AI model. In particular, if the user is feeling stressed, advice is generated that includes relaxation techniques and mental health support information.

[1644] 4. Send Feedback

[1645] The generated advice and suggestions for childcare support services are sent from the server to the user's device, allowing the user to immediately check the advice.

[1646] Example prompt sentence:

[1647] Users input specific parenting concerns, and the emotion engine analyzes the text and generates appropriate feedback.

[1648] My child won't stop crying in the middle of the night. What should I do?

[1649] 5. Child Safety Monitoring

[1650] IoT devices monitor children's location and health status data in real time. The server analyzes this data and generates an alert if an abnormality is detected, sending a notification to the user's device. At the same time, the user's emotional state is also analyzed, and appropriate feedback is provided if stress levels are high.

[1651] Specific examples

[1652] Questions about night crying and emotion analysis

[1653] If a user inputs "my child won't stop crying at night" and the emotion engine analyzes that the user is under high stress, the server will generate customized advice including measures to combat night crying and relaxation techniques to reduce stress. It will also provide information about nearby stress management workshops.

[1654] Child abnormality detection and alerts

[1655] The location information of children wearing IoT devices is sent to a server in real time, and if they go outside a set area or if there is something wrong with their health, an alert is immediately generated to notify the user. Furthermore, if the emotion engine analyzes that the user is feeling stressed due to the detected abnormality, mental health support information will also be provided.

[1656] Through the above process, the system provides customized parenting advice that takes into account the user's emotional state, ensuring the overall safety of children.

[1657] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1658] Step 1:

[1659] Users use their smartphones or PCs to input questions or issues about childcare. Input is done through messaging apps or dedicated web applications. The data entered by users is in text format and includes specific concerns or questions.

[1660] Input: Text entered by the user (e.g., "My child won't stop crying at night")

[1661] Output: The input text is sent to the server

[1662] Step 2:

[1663] The server passes the received input text to the emotion engine for emotion analysis. The emotion engine uses natural language processing technology to analyze the text content and determine the user's emotional state (e.g., stress, excitement, calm, etc.).

[1664] Input: Text data sent to the server

[1665] Output: Analysis of the user's emotional state (e.g., "high stress")

[1666] Step 3:

[1667] The server then passes the data to an AI engine based on the analysis results to generate customized advice. The AI ​​engine uses the analysis results and past data to create specific advice and suggestions for the user.

[1668] Input: Sentiment analysis results and user text input

[1669] Output: Customized advice (e.g., "Try deep breathing to combat night crying.")

[1670] Step 4:

[1671] The server sends the generated advice to the user's device, allowing the user to receive appropriate advice and suggestions in real time. The system also provides information on childcare support communities and links to e-commerce sites.

[1672] Input: Customized Advice

[1673] Output: Advice and related information sent to the user's terminal

[1674] Step 5:

[1675] IoT devices transmit real-time location and health information of children to a server, which actively monitors this data and immediately generates an alert to notify the user if an abnormality is detected.

[1676] Input: Real-time data from IoT devices (location, health data)

[1677] Output: Anomaly detection alert and notification to user device

[1678] Step 6:

[1679] When an abnormality is detected, the server re-analyzes the user's emotions and, if the user is feeling stressed, generates and provides additional feedback to the user, including mental health support information and relaxation techniques.

[1680] Input: Sentiment analysis results again, and anomaly detection facts

[1681] Output: Mental health support information and additional feedback

[1682] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1683] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1684] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1685] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1686] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1687] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1688] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1689] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1690] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1691] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1692] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1693] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1694] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1695] 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.

[1696] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1697] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1698] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1699] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1700] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1701] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1702] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1703] The following is further disclosed regarding the above embodiment.

[1704] (Claim 1)

[1705] a terminal for users to input questions and issues related to childcare;

[1706] a server that receives input from the user and analyzes the input using natural language processing techniques;

[1707] means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server;

[1708] means for transmitting the generated advice and feedback including suggestions regarding childcare activities and childcare support services to the terminal;

[1709] A means for generating and providing a link to an e-commerce site where the user can purchase the necessary item based on the advice;

[1710] A means for monitoring the safety of children using IoT devices connected via the Internet;

[1711] a means for monitoring the child's location information and health condition data acquired from the IoT device in real time, and generating an alert when an abnormality is detected and sending the alert to the terminal;

[1712] A system including:

[1713] (Claim 2)

[1714] 2. The system of claim 1, wherein the feedback includes information about childcare events held in the local community.

[1715] (Claim 3)

[1716] 2. The system of claim 1, wherein the server comprises means for predicting future child-rearing trends and generating pre-customized advice based on the user's past input data and previous feedback.

[1717] "Example 1"

[1718] (Claim 1)

[1719] a terminal for users to input questions and issues related to childcare;

[1720] a server that receives input from the user and analyzes the input using natural language processing techniques;

[1721] means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server;

[1722] means for transmitting the generated advice and feedback including suggestions regarding childcare activities and childcare support services to the terminal;

[1723] means for generating and providing a link to an e-commerce site where the user can purchase the necessary items based on the advice;

[1724] A means for monitoring the safety of children using an IoT device connected via the Internet;

[1725] means for monitoring in real time the location information and health condition data of the child acquired from the IoT device, and generating an alert and transmitting it to the terminal when an abnormality is detected;

[1726] A means of passing user-entered questions and challenges to an internal artificial intelligence engine and generating customized advice including parenting tips and specific ways to deal with the situation based on the analysis results; and

[1727] A means for providing users with recommended local childcare services and community event information;

[1728] a means for transmitting the generated feedback to a user's terminal and displaying the feedback in a form that can be immediately viewed by the user;

[1729] A system including:

[1730] (Claim 2)

[1731] 2. The system of claim 1, wherein the feedback includes information about childcare events held in the local community.

[1732] (Claim 3)

[1733] 2. The system of claim 1, wherein the server comprises means for predicting future child-rearing trends and generating pre-customized advice based on the user's past input data and previous feedback.

[1734] "Application Example 1"

[1735] (Claim 1)

[1736] a terminal for users to input questions and issues related to childcare;

[1737] a server that receives input from the user and analyzes the input using natural language processing techniques;

[1738] means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server;

[1739] means for transmitting the generated advice and feedback including suggestions regarding childcare activities and childcare support services to the terminal;

[1740] A means for generating and providing a link to an e-commerce site where the user can purchase the necessary item based on the advice;

[1741] A means for monitoring the safety of children using IoT devices connected via the Internet;

[1742] a means for monitoring the child's location information and health condition data acquired from the IoT device in real time, and generating an alert when an abnormality is detected and sending the alert to the terminal;

[1743] the terminal is a robot, and means for receiving questions from a user using a voice input function;

[1744] a means for providing the generated advice to a user using a voice output function of the terminal;

[1745] a means for the robot to monitor the condition of the child using a camera and various sensors, and to issue an audio warning when an abnormality is detected;

[1746] A system including:

[1747] (Claim 2)

[1748] 2. The system of claim 1, wherein the feedback includes information about childcare events held in the local community.

[1749] (Claim 3)

[1750] 2. The system of claim 1, wherein the server comprises means for predicting future child-rearing trends and generating pre-customized advice based on the user's past input data and previous feedback.

[1751] "Example 2: Combining Emotion Engines"

[1752] (Claim 1)

[1753] an information processing device for a user to input questions and issues related to childcare;

[1754] a data processing device that receives an input from the information processing device and analyzes the input using natural language processing technology;

[1755] means for generating customized user instructions based on the analyzed input using a knowledge processing device coupled to the data processing device;

[1756] means for transmitting the generated response including the user guidance and suggestions regarding childcare activities and childcare support services to the information processing device;

[1757] means for generating and providing a link to an e-commerce site where the user can purchase the necessary items based on the user's instructions;

[1758] A means for monitoring the safety of minors using devices connected via a communication network;

[1759] a means for monitoring the location information and health condition data of minors acquired from the device in real time, and generating and transmitting a warning to the information processing device when an abnormality is detected;

[1760] A system including:

[1761] (Claim 2)

[1762] 10. The system of claim 1, wherein the response includes information about child care meetings held in the community.

[1763] (Claim 3)

[1764] The system of claim 1, wherein the data processing device includes means for predicting future child-rearing trends based on the user's past input data and previous answers, and generating pre-customized user guidance.

[1765] "Application example 2 when combining emotion engines"

[1766] (Claim 1)

[1767] a terminal for users to input questions and issues related to childcare;

[1768] a server that receives input from the user and analyzes the input using natural language processing techniques;

[1769] means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server;

[1770] means for transmitting the generated advice and feedback including suggestions regarding childcare activities and childcare support services to the terminal;

[1771] A means for generating and providing a link to an e-commerce site where the user can purchase the necessary item based on the advice;

[1772] A means for monitoring the safety of children using IoT devices connected via the Internet;

[1773] a means for monitoring the child's location information and health condition data acquired from the IoT device in real time, and generating an alert when an abnormality is detected and sending the alert to the terminal;

[1774] means for analyzing a user's input and its emotional information using the emotion engine and providing customized advice including relaxation techniques for stress reduction;

[1775] means for analyzing the emotional state of the user when an abnormality is detected and providing appropriate feedback based on the emotional state;

[1776] A system including:

[1777] (Claim 2)

[1778] 2. The system of claim 1, wherein the feedback includes information about childcare events held in the local community.

[1779] (Claim 3)

[1780] 2. The system of claim 1, wherein the server comprises means for predicting future child-rearing trends and generating pre-customized advice based on the user's past input data and previous feedback. [Explanation of symbols]

[1781] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a terminal for users to input questions and issues related to childcare; a server that receives input from the user and analyzes the input using natural language processing techniques; means for generating customized advice based on the analyzed input using an artificial intelligence engine connected to the server; means for transmitting the generated advice and feedback including suggestions regarding childcare activities and childcare support services to the terminal; A means for generating and providing a link to an e-commerce site where the user can purchase the necessary item based on the advice; A means for monitoring the safety of children using IoT devices connected via the Internet; a means for monitoring the child's location information and health condition data acquired from the IoT device in real time, and generating an alert when an abnormality is detected and sending the alert to the terminal; A system including:

2. 2. The system of claim 1, wherein the feedback includes information about childcare events held in the local community.

3. The system of claim 1, wherein the server comprises means for predicting future child-rearing trends and generating pre-customized advice based on the user's past input data and previous feedback.

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