system

Abstract

We provide the system. [Solution] A system to assist in creating schedules for children, A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods. Means for transmitting the aforementioned data to a server, The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child, Means for transmitting the generated schedule to the user terminal, A system including means for visually displaying the generated schedule.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0006] The term "child" here refers to a child who has some kind of disability or delay in the process of neurodevelopment, and as a result often experiences difficulties in learning and behavior.

[0007] A "schedule creation support system" refers to a system that automatically generates an optimal schedule based on the user's various appointments.

[0008] "User" refers to any person who uses this system, including children, their guardians, or teachers.

[0009] A "school timetable" refers to a table that shows the time slots for classes and activities at an educational institution.

[0010] "Club activity schedule" refers to the time and content of activities outside of school.

[0011] "Homework schedule" refers to a schedule of activities that includes assignments and homework given by the school, including deadlines for submitting them.

[0012] "Scheduled extracurricular activities" refers to planned activities and events that take place outside of school.

[0013] "The schedule of the cram school" refers to the activity time at the learning support facility outside school.

[0014] "Activity location" means the place where each activity is carried out.

[0015] "Moving time" refers to the time required to move between each activity location.

[0016] "Moving method" refers to the means used when moving between each activity location.

[0017] "Server" refers to a device that analyzes data sent from a user and automatically generates a schedule using a generated AI model.

[0018] "Generated AI model" refers to an artificial intelligence model that automatically generates an optimal schedule based on input data.

[0019] "Means for visually displaying" refers to a method of displaying using color coding or icons in order to make the generated schedule easier to understand.

[0020] "Color coding" refers to a method of using different colors to distinguish schedules of different categories.

[0021] "Icon" refers to a visual symbol for enabling the type of schedule or activity to be identified at a glance.

Brief Description of Drawings

[0022] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4]It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0023] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0024] First, the language used in the following description will be explained.

[0025] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0026] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0027] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0028] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0029] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0030] [First Embodiment]

[0031] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0032] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0033] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0034] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0035] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0036] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0037] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0038] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0040] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0041] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0042] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0043] This invention relates to a system that assists in creating schedules for children. Specifically, it uses a generating AI model to automatically create an optimal schedule based on various schedule information entered by the user.

[0044] System Overview

[0045] This system consists of the following main components:

[0046] 1. User terminal

[0047] 2. Server

[0048] 3. Generative AI Models

[0049] 4. Schedule display interface

[0050] Program processing details

[0051] User input

[0052] The terminal provides the user with an interface for entering the information necessary for scheduling.

[0053] School timetable (Example: Monday 08:30-09:20 Math, 09:30-10:20 English)

[0054] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[0055] Homework schedule (Example: Wednesday - English homework due)

[0056] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[0057] Tutoring schedule (Example: Mondays and Thursdays, 17:00-18:30)

[0058] Location of activity (e.g., school, home, cram school)

[0059] Travel time (e.g., 15 minutes by bicycle)

[0060] Method of transportation (e.g., bicycle, walking)

[0061] Data transmission and analysis

[0062] The terminal sends the data entered by the user to the server.

[0063] The server analyzes the received data, organizes it by time, and converts it into the appropriate format.

[0064] Schedule generation

[0065] The server uses a generative AI model to generate an optimal schedule, taking into account the time and location of each event, travel time between events, and user priorities.

[0066] For example, Monday's schedule is generated as follows:

[0067] 08:30〜09:20 Mathematics (school)

[0068] 09:30-10:20 English (School)

[0069] 10:30-11:20 Science (school)

[0070] 14:00-16:00 Free time (for homework)

[0071] 17:00-18:30 Cram school (cram school)

[0072] Results submitted and displayed

[0073] The server sends the generated schedule to the user's terminal.

[0074] The device displays received schedules in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly see what appointments are scheduled for which time slots.

[0075] Specific example

[0076] For example, suppose a user enters the following information.

[0077] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0078] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0079] Homework schedule: Wednesday - Submit English homework.

[0080] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0081] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0082] Activity locations: school, home, cram school

[0083] Travel time: 15 minutes by bicycle

[0084] Method of transportation: Bicycle

[0085] This information is sent to the server, and the generating AI model generates a schedule like the following.

[0086] Monday:

[0087] 08:30〜09:20 Mathematics (school)

[0088] 09:30-10:20 English (School)

[0089] 10:30-11:20 Science (school)

[0090] 14:00-16:00 Free time (for homework)

[0091] 17:00-18:30 Cram school (cram school)

[0092] Tuesday:

[0093] 08:30〜09:20 Society (school)

[0094] 10:30-11:20 Physical education (school)

[0095] 16:00-18:00 Club activities (soccer)

[0096] This schedule is sent to the device and displayed to the user visually using color coding and icons. For example, green might represent school classes, blue might represent club activities, and red might represent tutoring time.

[0097] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and teachers.

[0098] The following describes the processing flow.

[0099] Step 1:

[0100] The terminal displays an interface for the user to enter the information needed for scheduling. The interface includes input fields for school timetable, club activity schedule, homework schedule, extracurricular activity schedule, tutoring schedule, activity location, travel time, and travel method.

[0101] Step 2:

[0102] The user enters the necessary information using the terminal interface. For example, they might enter their Monday school schedule, club activity schedule, homework deadlines, weekend outings, tutoring schedule, activity locations, travel time between locations, and methods of transportation.

[0103] Step 3:

[0104] The terminal verifies the entered information and checks for any missing required fields. Once it confirms that all required information has been entered, it proceeds to the next step.

[0105] Step 4:

[0106] The terminal converts the input data into the appropriate format and sends it to the server. This includes organizing the input data, converting the format, and encrypting it if necessary.

[0107] Step 5:

[0108] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, the travel time between events, and the method of travel.

[0109] Step 6:

[0110] The server uses a generation AI model to automatically generate an optimal schedule based on the received data. It adjusts the timing of events to avoid overlaps and takes travel time into consideration when scheduling. It also creates a schedule that takes the user's priorities (e.g., important classes or relaxation time) into account.

[0111] Step 7:

[0112] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[0113] Step 8:

[0114] The terminal analyzes the schedule data received from the server and displays it in a format that is easy for the user to understand. This includes methods such as using color coding and icons to make it visually easy to understand.

[0115] Step 9:

[0116] The user checks the schedule displayed on the device. They can make changes or add information as needed.

[0117] Step 10:

[0118] The terminal sends the user's modified schedule back to the server and repeats the process of generating the updated schedule. This process can be repeated until the user is satisfied.

[0119] This process makes it easier for children to create and understand schedules, and improves their self-management skills.

[0120] (Example 1)

[0121] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0122] Children often have difficulty managing and understanding their schedules, which can disrupt their daily lives. Therefore, there is a need for a system that efficiently creates schedules and provides them in a visually easy-to-understand format. Furthermore, there is a need for methods to reduce the time and effort that parents and educators spend on schedule management.

[0123] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0124] In this invention, the server includes means for receiving data from a user regarding the school's timetable, club activity schedule, homework schedule, extracurricular activity schedule, supplementary school schedule, activity location, travel time, and travel method; means for transmitting the data to the server; means for the server to analyze the data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible for children to easily understand their schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0125] A "user" is the entity that uses the system to create a child's schedule, and typically refers to a parent or educator.

[0126] "Educational institutions" refer to facilities that provide education, such as elementary schools, junior high schools, high schools, vocational schools, and universities.

[0127] "Club activities" refers to club activities and circle activities that children, students, and pupils attending educational institutions participate in after school or on weekends.

[0128] "Homework" refers to learning assignments or tasks that are given by educational institutions and must be completed at home.

[0129] "Extracurricular activities" refer to learning and experiential activities conducted outside of educational institutions or the home, and include things like field trips and excursions.

[0130] A "supplementary learning facility" refers to a facility where children and students can receive additional learning support outside of regular school classes, and includes cram schools and preparatory schools.

[0131] "Activity location" refers to the specific place where each event takes place, such as educational institutions, homes, or supplementary learning facilities.

[0132] "Travel time" refers to the time required to move between activity locations.

[0133] "Method of transportation" refers to the means of moving between different activity locations, such as by bicycle, on foot, or by public transport.

[0134] "Means of receiving data" refers to interfaces, sensors, and other devices used to acquire schedule information entered by users.

[0135] A "server" refers to a computing device used for data analysis, schedule generation, and the storage and transmission of those results.

[0136] "Analysis means" refers to algorithms and programs used by a server to organize the data it receives and convert it into meaningful information.

[0137] A "generative AI model" refers to an artificial intelligence model that generates the optimal schedule based on the data it receives.

[0138] "Automatic generation method" refers to a function that automatically creates schedules using a generation AI model.

[0139] "Means of visual display" refers to displays and interfaces that use color coding and images to show the generated schedule in a format that is easy for the user to understand.

[0140] This invention relates to a system that assists in creating schedules for children. Specifically, it is a system that automatically creates an optimal schedule using a generation AI model based on various schedule information entered by the user.

[0141] System Overview

[0142] This system consists of the following main components:

[0143] 1. User terminal

[0144] 2. Server

[0145] 3. Generative AI Models

[0146] 4. Schedule display interface

[0147] System operation procedures

[0148] User input

[0149] The terminal provides the user with an interface for entering schedule information. Through this interface, the user can enter the following items:

[0150] Educational institution timetable (Example: Monday 08:30-09:20 Mathematics)

[0151] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[0152] Homework schedule (Example: Wednesday - English homework due)

[0153] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[0154] Schedule for supplementary lessons (Example: Mondays and Thursdays, 17:00-18:30, tutoring)

[0155] Location of activity (e.g., school, home, cram school)

[0156] Travel time (e.g., 15 minutes by bicycle)

[0157] Method of transportation (e.g., bicycle, walking)

[0158] Data transmission and analysis

[0159] The terminal sends the data entered by the user to the server. The data is transmitted using a secure communication protocol (e.g., HTTPS).

[0160] The server analyzes the received data, organizes it by time, and converts it into an appropriate format. Specifically, it analyzes information such as the start time, end time, location, and travel time of each event, and organizes it by time. It also checks for inconsistencies and duplicates.

[0161] Schedule generation

[0162] The server uses a generative AI model based on the analyzed data to generate the optimal schedule. The generative AI model is input with prompts for schedule generation. For example,

[0163] Information entered by the user:

[0164] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0165] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0166] Homework schedule: Wednesday - Submit English homework.

[0167] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0168] Supplementary lesson schedule: Mondays and Thursdays, 17:00-18:30

[0169] Locations of activity: Educational institutions, homes, cram schools

[0170] Travel time: 15 minutes by bicycle

[0171] Method of transportation: Bicycle

[0172] Please use this information to generate the optimal schedule.

[0173] By entering this prompt, the generating AI model will create an optimal schedule considering the time and location of each event, travel time, and user priorities.

[0174] Results submitted and displayed

[0175] The server sends the generated schedule to the user's terminal. The data is then sent again using a secure communication protocol (e.g., HTTPS).

[0176] The device displays received schedules in a visually easy-to-understand format. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities.

[0177] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0178] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0179] Step 1: User Input

[0180] The terminal provides the user with an interface for entering schedule information. The user enters data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, supplementary school schedules, activity locations, travel time, and travel methods. The entered data is converted into a structured data format such as JSON.

[0181] Step 2: Data transmission

[0182] The terminal sends the JSON data entered by the user to the server using a secure communication protocol (e.g., HTTPS). The input data includes the event's start time, end time, location, travel time, and method of travel. The terminal confirms the successful transmission and displays a confirmation message.

[0183] Step 3: Data Analysis

[0184] The server parses the received JSON data. During the data analysis process, it extracts the start time, end time, location, travel time, and travel method for each event, and organizes them into a specific format (e.g., a list or table). It also checks for inconsistencies and duplicates, and generates error messages as needed. The input is JSON data, and the output is the parsed data in list or table format.

[0185] Step 4: Schedule Generation

[0186] The server uses a generative AI model based on the analyzed data to generate prompts and input them into the AI ​​model. A specific example of a prompt is, "Information entered by the user: Educational institution timetable... Based on this information, please generate the optimal schedule." The generative AI model receives the prompt and generates the optimal schedule, taking into account the time and location of each event, travel time between events, and the user's priorities. The input is the prompt and the analyzed data, and the output is the generated schedule.

[0187] Step 5: Submit Results

[0188] The server sends the generated schedule to the user's terminal. The data is again sent using a secure communication protocol (e.g., HTTPS). The input is the generated schedule data, and the output is the schedule sent to the user's terminal.

[0189] Step 6: Display Results

[0190] The terminal displays received schedules in a visually easy-to-understand format for the user. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities. In addition, each event is accompanied by an image to make it intuitively understandable. The input is schedule data sent from the server, and the output is a visually displayed schedule.

[0191] This allows children to easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0192] (Application Example 1)

[0193] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0194] For children, schedule management is extremely important, but self-management is often difficult. Furthermore, insufficient schedule management can disrupt daily life. Conventional methods managed timetables and activity schedules individually, resulting in inefficient overall schedule management. Also, shopping and daily outings often lacked planning and caused stress because children acted without considering the location, opening hours, and crowd levels of each store. There is a need to solve these problems and enable children and their guardians to live their daily lives with peace of mind.

[0195] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0196] In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods; means for transmitting the data to the server and automatically generating a schedule suitable for the child using a generation AI model; means for transmitting the schedule to the user terminal and generating a shopping route and schedule that takes into account the location, business hours, and congestion of each store; and means for visually displaying the generated schedule. This enables children to manage their schedules in a centralized manner, allowing them to act more efficiently and also helping to reduce stress.

[0197] "Children" refers to children with developmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD).

[0198] A "schedule creation support system" is a system that generates and visually displays an optimal schedule based on the user's input.

[0199] "User terminal" refers to electronic devices used by users, such as smartphones, tablets, and personal computers.

[0200] "School timetable" refers to the timetable of classes and activities at the school the user attends.

[0201] "Club activity schedule" refers to the date, time, and content of club activities that the user will participate in.

[0202] "Homework schedule" refers to the deadlines and content of homework that the user is required to complete.

[0203] "Extracurricular activity schedule" refers to the schedule of activities and events that users will participate in outside of school.

[0204] "Cram school schedule" refers to the dates, times, and content of classes at the cram school the user attends.

[0205] "Activity location" refers to the places where users spend their time, such as school, home, or cram school.

[0206] "Travel time" refers to the time required for a user to move from one location to another.

[0207] "Method of transportation" refers to the means by which a user travels, such as walking, cycling, or driving.

[0208] A "server" refers to a computing system that analyzes data received from user terminals and generates schedules using a generated AI model.

[0209] A "generative AI model" refers to an artificial intelligence model that generates an optimal schedule based on user input data.

[0210] A "shopping route" refers to an optimized shopping path that takes into account the location, opening hours, and congestion levels of each store.

[0211] "Visual display methods" refer to ways of displaying generated schedules in a way that makes them easy for users to understand, using color coding or icons.

[0212] This invention is a system developed to allow children and their guardians to easily manage schedules and activity plans, thereby reducing stress in daily life. The system utilizes a user, a user terminal, a server, and a generative AI model.

[0213] Hardware and software configuration

[0214] Hardware used

[0215] User devices: Smartphones, tablets, PCs, or smart glasses

[0216] Server: A high-performance computer used for data analysis and schedule generation.

[0217] Software used

[0218] User Interface Application: Provides an interface for users to enter appointments.

[0219] Generative AI Model: Generates the optimal schedule based on data entered by the user.

[0220] Specific example: OpenAI GPT-4

[0221] System operation

[0222] Users input schedule-related information through their user terminals. This includes things like school timetables, club activity schedules, homework deadlines, extracurricular activity plans, tutoring class times, and transportation methods and travel times. This information is entered using a user interface application.

[0223] The entered data is sent from the user's terminal to the server. The server analyzes the received data and organizes it by time. Here, a generative AI model is used to automatically generate an optimal schedule based on the user's data. In this process, the generative AI model considers the time and location of each event, travel time between events, and the user's priorities.

[0224] The generated schedule is sent back to the user's device and displayed visually. This display uses color coding and icons to make it easy for the user to understand intuitively. For example, school events are shown in green, club activities in blue, and tutoring sessions in red.

[0225] Furthermore, this system also includes features that enable users to efficiently carry out their daily shopping at physical stores. When a user enters their shopping list and the stores they plan to visit, the server generates the optimal shopping route based on the specified conditions. This route is optimized considering the location, opening hours, and congestion levels of each store.

[0226] Specific example

[0227] For example, if a user enters the following information,

[0228] Shopping list: Bread, milk, eggs

[0229] Priority time slot: 13:00

[0230] Current location: Home

[0231] Means of transportation: Bicycle

[0232] By entering the following prompts into the generating AI model, the optimal schedule will be generated.

[0233] Point down

[0234] Create an optimal shopping schedule based on user input data. Consider the location, opening hours, and crowd levels of each store.

[0235] Shopping list: Bread, milk, eggs

[0236] Priority time slot: 13:00

[0237] Current location: Home

[0238] Means of transportation: Bicycle

[0239] As an example of a generated schedule,

[0240] 13:20-13:30 Purchased bread (Store A)

[0241] 13:35-13:45 Purchased milk (Store B)

[0242] 13:50-14:00 Purchased eggs (Store C)

[0243] In this way, centralized schedule management becomes possible, which is extremely beneficial for children and their guardians.

[0244] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0245] Step 1:

[0246] Users enter schedule-related information using their user terminals. This information includes school timetables, club activity schedules, homework deadlines, extracurricular activity schedules, tutoring class times, transportation methods, and travel time. The entered information is collected through a user interface application.

[0247] Input: School timetable, club activity schedule, homework schedule, extracurricular activity schedule, cram school schedule, activity location, travel time, method of travel

[0248] Output: Collection of information entered into the user terminal.

[0249] Step 2:

[0250] The terminal sends the data entered by the user to the server. The entered data is securely transferred to the server via the internet. The server receives the data and prepares for analysis.

[0251] Input: Information collected on the user's terminal

[0252] Output: Information sent to the server

[0253] Step 3:

[0254] The server analyzes the received data. Specifically, it organizes the time and location of each event, the travel time between events, etc., and converts it into an appropriate format. Data analysis includes preprocessing such as data validation and format conversion. This sorts the data to be analyzed.

[0255] Input: Information sent to the server

[0256] Output: Analyzed data

[0257] Step 4:

[0258] The server uses a generative AI model to automatically generate the optimal schedule, taking into account the analyzed data and user priorities. The generative AI model generates the optimal schedule based on the prompt messages and adjusts the time and location of events.

[0259] Input: Analyzed data, prompt message

[0260] Output: Generated schedule

[0261] Step 5:

[0262] The server sends the generated schedule to the user's terminal. The data sent includes details such as the start time, location, and travel time for each event. The data is sent in a format that is easy for the user to understand.

[0263] Input: Generated schedule

[0264] Output: Schedule sent to the user terminal

[0265] Step 6:

[0266] The device will visually display the received schedule. Specifically, it will use color coding and icons to allow users to understand the content and time of events at a glance. For example, school events might be color-coded green, club activities blue, and tutoring sessions red.

[0267] Input: Schedule sent to the user terminal

[0268] Output: Visual schedule display using color coding and icons.

[0269] Step 7:

[0270] (Steps specific to this application) Furthermore, the user enters information about their shopping list and planned stores to visit. This data is also collected through the user interface application.

[0271] Input: Shopping list, data of stores to visit

[0272] Output: Shopping information collected on the user's terminal

[0273] Step 8:

[0274] The terminal sends the collected shopping information to the server. On the server side, analysis is performed based on the shopping list and store information.

[0275] Input: Shopping information collected on the user's terminal

[0276] Output: Shopping information sent to the server

[0277] Step 9:

[0278] The server generates an optimal shopping route and schedule considering the location, business hours, and congestion situation of each store. This route is optimized using a generation AI model.

[0279] Input: Shopping information, prompt text

[0280] Output: Generated shopping route and schedule

[0281] Step 10:

[0282] The server sends the generated shopping schedule to the user terminal, and the terminal visually displays it. The user can understand the order and time zone for visiting each store at a glance.

[0283] Input: Generated shopping route and schedule

[0284] Output: Shopping schedule visually displayed on the user terminal

[0285] [[ID=​​​​​​​​​​​​​

[0289] 1. User terminal

[0290] 2. Server

[0291] 3. Generative AI Models

[0292] 4. Emotional Engine

[0293] 5. Schedule display interface

[0294] Program processing details

[0295] User input

[0296] The terminal provides the user with an interface for entering information necessary for scheduling. This interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring sessions, activity locations, travel time, and travel methods.

[0297] Collection of emotional data

[0298] The device recognizes the user's emotional state in real time through an emotion engine and sends that data to the server. The emotion engine analyzes the user's emotional state based on the user's facial expressions, voice tone, input data, and other factors.

[0299] Data transmission and analysis

[0300] The terminal sends the entered information data and emotional data to the server.

[0301] The server analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[0302] Schedule generation

[0303] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the user's schedule based on emotional data. For example, when the user is in a highly stressed emotional state, the schedule is arranged to take more relaxation time.

[0304] For example, the schedule for Monday is generated as follows.

[0305] 08:30 - 09:20 Math (School)

[0306] 09:30 - 10:20 English (School)

[0307] 10:30 - 11:20 Science (School)

[0308] 14:00 - 16:00 Relaxation Time (Adjusted by the Emotion Engine)

[0309] 17:00 - 18:30 Supplementary School (Supplementary School)

[0310] Result Transmission and Display

[0311] The server converts the generated schedule into an appropriate format and transmits it to the terminal.

[0312] The terminal displays the received schedule in a visually user - friendly format. This includes methods of displaying using color - coding and icons for easy visual understanding. For example, green represents school classes, blue represents club activities, red represents supplementary school time, and yellow represents relaxation time, etc.

[0313] Specific Example

[0314] For example, assume the user inputs the following information.

[0315] School Schedule: Monday 08:30 - 09:?? Math, 09:30 - 10:20 English <00…… (原文中此处标签不完整,推测是 的延续,按规则保留原文形式)

[0316] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0317] Homework schedule: Wednesday - Submit English homework.

[0318] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0319] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0320] Activity locations: school, home, cram school

[0321] Travel time: 15 minutes by bicycle

[0322] Method of transportation: Bicycle

[0323] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following.

[0324] Monday:

[0325] 08:30〜09:20 Mathematics (school)

[0326] 09:30-10:20 English (School)

[0327] 10:30-11:20 Science (school)

[0328] 14:00-16:00 Relaxation time

[0329] 17:00-18:30 Cram school (cram school)

[0330] Tuesday:

[0331] 08:30〜09:20 Society (school)

[0332] 10:30-11:20 Physical education (school)

[0333] 16:00-18:00 Club activities (soccer)

[0334] This schedule is sent to the device and displayed to the user visually using color coding and icons. In this way, children can easily understand the schedule and improve their self-management skills. Furthermore, by providing a schedule that is appropriate to the user's emotional state, it can reduce stress and support a better life.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] The terminal provides the user with an interface for entering information necessary for scheduling. The interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring, activity locations, travel time, and travel methods.

[0338] Step 2:

[0339] Users use the terminal interface to input various schedule information. Specifically, they input their Monday school timetable, club activity schedules, homework deadlines, extracurricular activity schedules, cram school schedules, the location of each activity, travel time, and method of transportation.

[0340] Step 3:

[0341] The terminal verifies the entered information and checks for any missing details. After checking that all required information has been entered, it proceeds to the next step.

[0342] Step 4:

[0343] The device activates the emotion engine. The emotion engine analyzes the user's facial expressions, voice tone, input data, etc., in real time to recognize the user's emotional state.

[0344] Step 5:

[0345] The emotion engine analyzes the recognized user's emotional state (e.g., fatigue, stress, relaxation) and generates data. This emotional data is used in the next step.

[0346] Step 6:

[0347] The terminal sends the entered schedule data and the emotion data obtained from the emotion engine to the server.

[0348] Step 7:

[0349] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[0350] Step 8:

[0351] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the schedule based on the user's emotional data. For example, if the user is fatigued, the schedule will be designed to include more rest periods.

[0352] Step 9:

[0353] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[0354] Step 10:

[0355] The terminal analyzes the schedule data received from the server and displays the schedule in a user-friendly format. Specifically, it uses color coding and icons to visually represent each item in the schedule in an easy-to-understand way.

[0356] Step 11:

[0357] The user reviews the displayed schedule. They can then modify or add information to the schedule as needed.

[0358] Step 12:

[0359] The terminal resends user changes and additional schedule data to the server and requests schedule regeneration as needed. This process is repeated until the user is satisfied with the optimal schedule.

[0360] This process makes it easier for children to create and understand schedules, improving their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[0361] (Example 2)

[0362] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0363] For children, managing schedules and self-management is extremely difficult. Traditional scheduling systems fail to consider the user's emotional state, potentially increasing stress. Therefore, there is a need for a system that automatically generates schedules that children can comfortably manage and presents them in a visually easy-to-understand format.

[0364] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods; means for an emotion engine to analyze the user's emotional state based on the received data, to recognize the user's emotional state in real time, and to collect data thereof; means for transmitting the data and emotional state data to the server; means for the server to analyze the data and emotional state data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible to automatically generate and provide a schedule suitable for the user's emotional state.

[0365] "User" refers to a child and their guardian who use the system to input and manage their schedule.

[0366] A "school timetable" refers to a schedule of classes and activities at an educational institution.

[0367] "Club activity schedule" refers to the schedule of club activities and extracurricular activities held at schools and in the local community.

[0368] "Homework schedule" refers to the submission period and content of assignments and homework assigned by schools or educational institutions.

[0369] "Outdoor activity schedule" refers to the schedule of field trips, excursions, practical training, and other activities conducted as part of the educational activities of schools and educational institutions.

[0370] "Educational institution" is a general term that encompasses facilities that provide education, such as schools, cram schools, and classrooms.

[0371] "Activity location" refers to the place where the designated classes, activities, or events take place in each schedule.

[0372] "Travel time" refers to the time required to move from one place to the next.

[0373] "Method of transportation" refers to the means by which a user moves between activity locations, including, for example, cycling, taking a bus, or walking.

[0374] An "emotion engine" is a software component that analyzes a user's emotions and recognizes their emotional state in real time.

[0375] A "server" refers to a computer system used to process and analyze data sent by users.

[0376] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on received data and emotional state data.

[0377] A "user terminal" refers to a device used by a user to input or view schedules.

[0378] "Means of visual display" refers to a function that displays the generated schedule on the device using color coding, icons, etc., so that the user can intuitively understand it.

[0379] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules. This system mainly consists of a user terminal, a server, a generation AI model, an emotion engine, and a schedule display interface.

[0380] Collection of user input data

[0381] The user inputs data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods through the terminal interface. Specifically, the user inputs the following:

[0382] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0383] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0384] Homework schedule: Wednesday - Submit English homework.

[0385] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0386] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0387] Activity locations: school, home, cram school

[0388] Travel time: 15 minutes by bicycle

[0389] Method of transportation: Bicycle

[0390] Collection of emotional data

[0391] The device uses an emotion engine to recognize the user's emotional state in real time and collect that data. The emotion engine uses a camera to capture the user's facial expressions and a microphone to analyze the tone of their voice. For example, if the user makes a flustered facial expression or their voice tone rises while typing, the emotion engine will detect "stress."

[0392] Data transmission and analysis

[0393] The device converts the input data and sentiment data into JSON format and sends it to the server via a secure API.

[0394] Schedule generation

[0395] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model takes into account the user's emotional state data and adjusts the schedule, such as adding relaxation time to reduce stress. For example, if the user is feeling "stressed," the AI ​​model will add "14:00-16:00 Relaxation Time."

[0396] Sending and displaying results

[0397] The server converts the generated schedule into an appropriate format and sends it to the terminal. The terminal displays the schedule in a visually easy-to-understand format. For example, it might use color coding such as green for "math," yellow for "relaxation time," and red for "cram school."

[0398] Specific example

[0399] Consider the case where the user enters the following information.

[0400] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0401] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0402] Homework schedule: Wednesday - Submit English homework.

[0403] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0404] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0405] Activity locations: school, home, cram school

[0406] Travel time: 15 minutes by bicycle

[0407] Method of transportation: Bicycle

[0408] If the emotion engine detects that the user is feeling "stressed," the AI ​​model generates a schedule like this:

[0409] Monday:

[0410] 08:30〜09:20 Mathematics (school)

[0411] 09:30-10:20 English (School)

[0412] 10:30-11:20 Science (school)

[0413] 14:00-16:00 Relaxation time

[0414] 17:00-18:30 Cram school (cram school)

[0415] This schedule is sent to the device and displayed to the user visually using color coding and icons.

[0416] Example of a prompt

[0417] Please enter information such as "Monday 08:30-09:20 Math", "Monday 09:30-10:20 English", and "Tuesday 16:00-18:00 Soccer Club".

[0418] This allows children to easily understand schedules and improve their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[0419] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0420] Step 1: User Input

[0421] The user enters the necessary data for scheduling (school timetable, club activity schedule, homework schedule, extracurricular activity schedule, educational institution schedule, activity location, travel time, and travel method) into the terminal interface.

[0422] Example input: Monday 08:30-09:20 Math, 09:30-10:20 English

[0423] The entered data is temporarily stored within the device.

[0424] Step 2: Collecting emotional data

[0425] The device activates an emotion engine in parallel with collecting input data, analyzing the user's emotional state in real time. This is done using a camera and microphone.

[0426] The emotion engine calculates the user's emotional state from their facial expressions and tone of voice.

[0427] Input example: The user's facial expression is anxious, and their voice tone is high.

[0428] Output example: Emotional data identified as "stress"

[0429] Step 3: Data transmission

[0430] The device converts the collected schedule data and sentiment data into JSON format and sends it to the server.

[0431] Input example: Schedule data and sentiment data entered by the user.

[0432] The data is transmitted securely via HTTP requests.

[0433] Output example: JSON data received by the server

[0434] Step 4: Data Analysis

[0435] The server parses the received JSON data and extracts the time, location, travel time, travel method, and emotional state for each event. The analysis is performed using a Python script.

[0436] Input example: JSON data

[0437] Example output: Details of each event (Example: Monday 08:30-09:20 Math, Emotional state "Stress")

[0438] Step 5: Generate Schedule

[0439] The server uses a generative AI model to generate an optimal schedule based on the analyzed data. The generative AI model uses machine learning algorithms to adjust the schedule while taking sentiment data into consideration.

[0440] Input example: Detailed data and emotional state for each event

[0441] Data processing: For example, when adding relaxation time based on emotional data.

[0442] Output example: Optimized schedule (Example: Relaxation time added from 14:00 to 16:00)

[0443] Step 6: Submit the results

[0444] The server converts the generated schedule into the appropriate format (JSON format) and sends it to the terminal.

[0445] Input example: Optimized schedule data

[0446] Data processing: Convert to a visually easy-to-understand format (e.g., color coding and adding icons).

[0447] Output example: Generation schedule received by the terminal

[0448] Step 7: Displaying the results

[0449] The device visually displays received schedules to the user. This uses color coding and icons to allow for quick understanding of the content at a glance.

[0450] Input example: Generation schedule received from the server

[0451] Output example: Visually displayed schedule (e.g., green for school activities, yellow for relaxation time, red for tutoring / cram school)

[0452] Through the steps outlined above, users can automatically generate schedules tailored to their emotional state, enabling comfortable schedule management.

[0453] (Application Example 2)

[0454] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0455] Conventional scheduling systems generate schedules without considering the emotional state of a particular user, potentially increasing the user's psychological burden. Furthermore, creating optimal schedules tailored to a child's characteristics is difficult, and there are limitations to displaying them in a user-friendly format. Therefore, this invention provides a system that creates schedules while taking the user's emotional state into account, reducing the psychological burden on children, and providing schedules in a format that is easy for them to understand.

[0456] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0457] In this invention, the server includes means for collecting and analyzing emotional data from the user, means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods, and means for automatically generating a schedule using a generation AI model based on the aforementioned data and emotional data. This makes it possible to generate a schedule that reflects the user's emotional state and display it in a visually easy-to-understand format.

[0458] The term "child" refers to a child who exhibits development that deviates from the normal developmental process in a particular area.

[0459] A "schedule creation support system" refers to a system that helps users organize their activities systematically and generates and displays those schedules.

[0460] "User" refers to an individual who uses this system to create a schedule.

[0461] "School timetable" refers to the timely arrangement of classes at a school.

[0462] "Club activity schedule" refers to the schedule of club activities, sports, and other activities that take place outside of school hours.

[0463] "Homework schedule" refers to a schedule of learning activities that should be done at home.

[0464] "Scheduled extracurricular activities" refers to planned activities that take place outside of school.

[0465] "Cram school schedule" refers to a schedule of learning at an educational institution outside of school.

[0466] "Activity location" refers to the place where a user performs a specific activity.

[0467] "Travel time" refers to the time required to move between different activity locations.

[0468] "Method of transportation" refers to the means used to move between activity locations.

[0469] "Data" refers to the information necessary to generate a schedule.

[0470] A "server" refers to a computer system that performs data analysis and generates schedules.

[0471] "Emotional data" refers to information about a user's emotional state.

[0472] "Means for collecting and analyzing emotional data" refers to functions that detect a user's emotional state and analyze that information.

[0473] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on data.

[0474] A "visual interface" refers to an interface that visually displays the generated schedule to the user.

[0475] "Color coding" refers to a display format that uses different colors to show different types of information.

[0476] An "icon" refers to a small diagram used to visually represent a specific activity or piece of information.

[0477] A "user terminal" refers to a device that a user directly operates.

[0478] "Means of visual display" refers to technologies and functions that make the generated schedule easy for users to understand.

[0479] A "schedule" refers to the time arrangement of planned activities over a specific period of time.

[0480] This invention provides a schedule creation assistance system for children, which generates an optimal schedule that takes into account the user's emotional state. This system consists of the following main components:

[0481] 1. User terminal

[0482] The user terminal refers to a mobile device such as a smartphone or tablet. The user uses this terminal to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, tutoring schedules, activity locations, travel time, and travel methods. Simultaneously, the user terminal collects user emotional data using its camera and microphone.

[0483] 2. Server

[0484] The server receives and analyzes data transmitted from the user's terminal. Based on the user's input data and emotional data, it automatically generates a schedule using a generative AI model. This creates a flexible schedule that reflects the user's emotional state.

[0485] 3. Generative AI Models

[0486] The generative AI model has an algorithm that analyzes acquired data (such as school timetables, club activity schedules, and emotional data) to generate an optimal schedule. For example, if it determines that the user is feeling stressed, it will make adjustments such as adding relaxation time.

[0487] 4. Visual Interface

[0488] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to make it easy to distinguish between school classes, club activities, extracurricular activities, tutoring, relaxation time, and other activities at a glance.

[0489] Program Processing Description

[0490] Hardware:

[0491] User devices (smartphones, tablets)

[0492] server

[0493] software:

[0494] OpenCV: A library for analyzing a user's facial expressions.

[0495] Keras: A library for running emotion recognition algorithms.

[0496] Requests: An HTTP request library used to retrieve food suggestions.

[0497] Data processing and data calculations:

[0498] 1. Collection and analysis of emotional data:

[0499] The system uses the user's device's camera and microphone to perform facial recognition and voice tone analysis. This allows for the collection of user emotion data in real time.

[0500] 2. Data transmission and schedule generation:

[0501] The collected emotional data and user-input data are sent to the server. The server analyzes the received data and uses a generative AI model to automatically generate a schedule tailored to the user's emotions.

[0502] 3. Results display:

[0503] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly understand the type of activity.

[0504] Specific example

[0505] For example, suppose a user enters the following information:

[0506] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0507] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0508] Homework schedule: Wednesday - Submit English homework.

[0509] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0510] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0511] Activity locations: school, home, cram school

[0512] Travel time: 15 minutes by bicycle

[0513] Method of transportation: Bicycle

[0514] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following:

[0515] Monday:

[0516] 08:30〜09:20 Mathematics (school)

[0517] 09:30-10:20 English (School)

[0518] 10:30-11:20 Science (school)

[0519] 14:00-16:00 Relaxation time (adjustment by emotional engine)

[0520] 17:00-18:30 Cram school (cram school)

[0521] This schedule is displayed in a visually easy-to-understand format, helping users understand it and providing appropriate stress management.

[0522] Example of a prompt

[0523] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[0524] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0525] Step 1:

[0526] Users use a user device such as a smartphone or tablet to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[0527] Input: Data on school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[0528] Output: The information entered by the user is saved on the device.

[0529] Step 2:

[0530] The user terminal uses a camera and microphone to collect the user's facial expressions and voice tone in real time and analyze the emotional data. This analysis uses the OpenCV and Keras libraries.

[0531] Input: User's facial expressions and voice

[0532] Output: User sentiment data

[0533] Step 3:

[0534] The user terminal sends the acquired emotion data and input data to the server.

[0535] Input: User sentiment data and input data (school timetable, club activity schedule, etc.)

[0536] Output: Sentiment data and input data transferred to the server

[0537] Step 4:

[0538] The server analyzes the received data. It inputs emotion data and input data into a generative AI model for analysis. The generative AI model is used for data analysis.

[0539] Input: Received sentiment data and input data

[0540] Output: Analyzed data and results

[0541] Step 5:

[0542] The server uses a generative AI model to automatically generate a schedule that takes the user's emotional state into account. For example, if the user is feeling stressed, it will add relaxation time. Data processing and calculations in the generation process are based on the algorithms of the generative AI model.

[0543] Input: Analyzed data and sentiment data

[0544] Output: A schedule tailored to the user's emotional state.

[0545] Step 6:

[0546] The generated schedule is sent from the server to the user's terminal.

[0547] Input: Schedule

[0548] Output: Schedule sent to the user terminal

[0549] Step 7:

[0550] The user terminal visually displays the received schedule. It uses color coding and icons to present the schedule in a user-friendly format.

[0551] Input: Received schedule

[0552] Output: Visually displayed schedule

[0553] Example of a prompt

[0554] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[0555] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0556] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0557] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0558] [Second Embodiment]

[0559] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0560] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0561] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0562] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0563] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0564] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0565] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0566] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0567] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0568] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0569] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0570] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0571] This invention relates to a system that assists in creating schedules for children. Specifically, it uses a generating AI model to automatically create an optimal schedule based on various schedule information entered by the user.

[0572] System Overview

[0573] This system consists of the following main components:

[0574] 1. User terminal

[0575] 2. Server

[0576] 3. Generative AI Models

[0577] 4. Schedule display interface

[0578] Program processing details

[0579] User input

[0580] The terminal provides the user with an interface for entering the information necessary for scheduling.

[0581] School timetable (Example: Monday 08:30-09:20 Math, 09:30-10:20 English)

[0582] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[0583] Homework schedule (Example: Wednesday - English homework due)

[0584] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[0585] Tutoring schedule (Example: Mondays and Thursdays, 17:00-18:30)

[0586] Location of activity (e.g., school, home, cram school)

[0587] Travel time (e.g., 15 minutes by bicycle)

[0588] Method of transportation (e.g., bicycle, walking)

[0589] Data transmission and analysis

[0590] The terminal sends the data entered by the user to the server.

[0591] The server analyzes the received data, organizes it by time, and converts it into the appropriate format.

[0592] Schedule generation

[0593] The server uses a generative AI model to generate an optimal schedule, taking into account the time and location of each event, travel time between events, and user priorities.

[0594] For example, Monday's schedule is generated as follows:

[0595] 08:30〜09:20 Mathematics (school)

[0596] 09:30-10:20 English (School)

[0597] 10:30-11:20 Science (school)

[0598] 14:00-16:00 Free time (for homework)

[0599] 17:00-18:30 Cram school (cram school)

[0600] Results submitted and displayed

[0601] The server sends the generated schedule to the user's terminal.

[0602] The device displays received schedules in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly see what appointments are scheduled for which time slots.

[0603] Specific example

[0604] For example, suppose a user enters the following information.

[0605] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0606] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0607] Homework schedule: Wednesday - Submit English homework.

[0608] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0609] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0610] Activity locations: school, home, cram school

[0611] Travel time: 15 minutes by bicycle

[0612] Method of transportation: Bicycle

[0613] This information is sent to the server, and the generating AI model generates a schedule like the following.

[0614] Monday:

[0615] 08:30〜09:20 Mathematics (school)

[0616] 09:30-10:20 English (School)

[0617] 10:30-11:20 Science (school)

[0618] 14:00-16:00 Free time (for homework)

[0619] 17:00-18:30 Cram school (cram school)

[0620] Tuesday:

[0621] 08:30〜09:20 Society (school)

[0622] 10:30-11:20 Physical education (school)

[0623] 16:00-18:00 Club activities (soccer)

[0624] This schedule is sent to the device and displayed to the user visually using color coding and icons. For example, green might represent school classes, blue might represent club activities, and red might represent tutoring time.

[0625] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and teachers.

[0626] The following describes the processing flow.

[0627] Step 1:

[0628] The terminal displays an interface for the user to enter the information needed for scheduling. The interface includes input fields for school timetable, club activity schedule, homework schedule, extracurricular activity schedule, tutoring schedule, activity location, travel time, and travel method.

[0629] Step 2:

[0630] The user enters the necessary information using the terminal interface. For example, they might enter their Monday school schedule, club activity schedule, homework deadlines, weekend outings, tutoring schedule, activity locations, travel time between locations, and methods of transportation.

[0631] Step 3:

[0632] The terminal verifies the entered information and checks for any missing required fields. Once it confirms that all required information has been entered, it proceeds to the next step.

[0633] Step 4:

[0634] The terminal converts the input data into the appropriate format and sends it to the server. This includes organizing the input data, converting the format, and encrypting it if necessary.

[0635] Step 5:

[0636] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, the travel time between events, and the method of travel.

[0637] Step 6:

[0638] The server uses a generation AI model to automatically generate an optimal schedule based on the received data. It adjusts the timing of events to avoid overlaps and takes travel time into consideration when scheduling. It also creates a schedule that takes the user's priorities (e.g., important classes or relaxation time) into account.

[0639] Step 7:

[0640] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[0641] Step 8:

[0642] The terminal analyzes the schedule data received from the server and displays it in a format that is easy for the user to understand. This includes methods such as using color coding and icons to make it visually easy to understand.

[0643] Step 9:

[0644] The user checks the schedule displayed on the device. They can make changes or add information as needed.

[0645] Step 10:

[0646] The terminal sends the user's modified schedule back to the server and repeats the process of generating the updated schedule. This process can be repeated until the user is satisfied.

[0647] This process makes it easier for children to create and understand schedules, and improves their self-management skills.

[0648] (Example 1)

[0649] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0650] Children often have difficulty managing and understanding their schedules, which can disrupt their daily lives. Therefore, there is a need for a system that efficiently creates schedules and provides them in a visually easy-to-understand format. Furthermore, there is a need for methods to reduce the time and effort that parents and educators spend on schedule management.

[0651] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0652] In this invention, the server includes means for receiving data from a user regarding the school's timetable, club activity schedule, homework schedule, extracurricular activity schedule, supplementary school schedule, activity location, travel time, and travel method; means for transmitting the data to the server; means for the server to analyze the data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible for children to easily understand their schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0653] A "user" is the entity that uses the system to create a child's schedule, and typically refers to a parent or educator.

[0654] "Educational institutions" refer to facilities that provide education, such as elementary schools, junior high schools, high schools, vocational schools, and universities.

[0655] "Club activities" refers to club activities and circle activities that children, students, and pupils attending educational institutions participate in after school or on weekends.

[0656] "Homework" refers to learning assignments or tasks that are given by educational institutions and must be completed at home.

[0657] "Extracurricular activities" refer to learning and experiential activities conducted outside of educational institutions or the home, and include things like field trips and excursions.

[0658] A "supplementary learning facility" refers to a facility where children and students can receive additional learning support outside of regular school classes, and includes cram schools and preparatory schools.

[0659] "Activity location" refers to the specific place where each event takes place, such as educational institutions, homes, or supplementary learning facilities.

[0660] "Travel time" refers to the time required to move between activity locations.

[0661] "Method of transportation" refers to the means of moving between different activity locations, such as by bicycle, on foot, or by public transport.

[0662] "Means of receiving data" refers to interfaces, sensors, and other devices used to acquire schedule information entered by users.

[0663] A "server" refers to a computing device used for data analysis, schedule generation, and the storage and transmission of those results.

[0664] "Analysis means" refers to algorithms and programs used by a server to organize the data it receives and convert it into meaningful information.

[0665] A "generative AI model" refers to an artificial intelligence model that generates the optimal schedule based on the data it receives.

[0666] "Automatic generation method" refers to a function that automatically creates schedules using a generation AI model.

[0667] "Means of visual display" refers to displays and interfaces that use color coding and images to show the generated schedule in a format that is easy for the user to understand.

[0668] This invention relates to a system that assists in creating schedules for children. Specifically, it is a system that automatically creates an optimal schedule using a generation AI model based on various schedule information entered by the user.

[0669] System Overview

[0670] This system consists of the following main components:

[0671] 1. User terminal

[0672] 2. Server

[0673] 3. Generative AI Models

[0674] 4. Schedule display interface

[0675] System operation procedures

[0676] User input

[0677] The terminal provides the user with an interface for entering schedule information. Through this interface, the user can enter the following items:

[0678] Educational institution timetable (Example: Monday 08:30-09:20 Mathematics)

[0679] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[0680] Homework schedule (Example: Wednesday - English homework due)

[0681] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[0682] Schedule for supplementary lessons (Example: Mondays and Thursdays, 17:00-18:30, tutoring)

[0683] Location of activity (e.g., school, home, cram school)

[0684] Travel time (e.g., 15 minutes by bicycle)

[0685] Method of transportation (e.g., bicycle, walking)

[0686] Data transmission and analysis

[0687] The terminal sends the data entered by the user to the server. The data is transmitted using a secure communication protocol (e.g., HTTPS).

[0688] The server analyzes the received data, organizes it by time, and converts it into an appropriate format. Specifically, it analyzes information such as the start time, end time, location, and travel time of each event, and organizes it by time. It also checks for inconsistencies and duplicates.

[0689] Schedule generation

[0690] The server uses a generative AI model based on the analyzed data to generate the optimal schedule. The generative AI model is input with prompts for schedule generation. For example,

[0691] Information entered by the user:

[0692] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0693] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0694] Homework schedule: Wednesday - Submit English homework.

[0695] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0696] Supplementary lesson schedule: Mondays and Thursdays, 17:00-18:30

[0697] Locations of activity: Educational institutions, homes, cram schools

[0698] Travel time: 15 minutes by bicycle

[0699] Method of transportation: Bicycle

[0700] Please use this information to generate the optimal schedule.

[0701] By entering this prompt, the generating AI model will create an optimal schedule considering the time and location of each event, travel time, and user priorities.

[0702] Results submitted and displayed

[0703] The server sends the generated schedule to the user's terminal. The data is then sent again using a secure communication protocol (e.g., HTTPS).

[0704] The device displays received schedules in a visually easy-to-understand format. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities.

[0705] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0706] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0707] Step 1: User Input

[0708] The terminal provides the user with an interface for entering schedule information. The user enters data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, supplementary school schedules, activity locations, travel time, and travel methods. The entered data is converted into a structured data format such as JSON.

[0709] Step 2: Data transmission

[0710] The terminal sends the JSON data entered by the user to the server using a secure communication protocol (e.g., HTTPS). The input data includes the event's start time, end time, location, travel time, and method of travel. The terminal confirms the successful transmission and displays a confirmation message.

[0711] Step 3: Data Analysis

[0712] The server parses the received JSON data. During the data analysis process, it extracts the start time, end time, location, travel time, and travel method for each event, and organizes them into a specific format (e.g., a list or table). It also checks for inconsistencies and duplicates, and generates error messages as needed. The input is JSON data, and the output is the parsed data in list or table format.

[0713] Step 4: Schedule Generation

[0714] The server uses a generative AI model based on the analyzed data to generate prompts and input them into the AI ​​model. A specific example of a prompt is, "Information entered by the user: Educational institution timetable... Based on this information, please generate the optimal schedule." The generative AI model receives the prompt and generates the optimal schedule, taking into account the time and location of each event, travel time between events, and the user's priorities. The input is the prompt and the analyzed data, and the output is the generated schedule.

[0715] Step 5: Submit Results

[0716] The server sends the generated schedule to the user's terminal. The data is again sent using a secure communication protocol (e.g., HTTPS). The input is the generated schedule data, and the output is the schedule sent to the user's terminal.

[0717] Step 6: Display Results

[0718] The terminal displays received schedules in a visually easy-to-understand format for the user. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities. In addition, each event is accompanied by an image to make it intuitively understandable. The input is schedule data sent from the server, and the output is a visually displayed schedule.

[0719] This allows children to easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[0720] (Application Example 1)

[0721] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0722] For children, schedule management is extremely important, but self-management is often difficult. Furthermore, insufficient schedule management can disrupt daily life. Conventional methods managed timetables and activity schedules individually, resulting in inefficient overall schedule management. Also, shopping and daily outings often lacked planning and caused stress because children acted without considering the location, opening hours, and crowd levels of each store. There is a need to solve these problems and enable children and their guardians to live their daily lives with peace of mind.

[0723] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0724] In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods; means for transmitting the data to the server and automatically generating a schedule suitable for the child using a generation AI model; means for transmitting the schedule to the user terminal and generating a shopping route and schedule that takes into account the location, business hours, and congestion of each store; and means for visually displaying the generated schedule. This enables children to manage their schedules in a centralized manner, allowing them to act more efficiently and also helping to reduce stress.

[0725] "Children" refers to children with developmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD).

[0726] A "schedule creation support system" is a system that generates and visually displays an optimal schedule based on the user's input.

[0727] "User terminal" refers to electronic devices used by users, such as smartphones, tablets, and personal computers.

[0728] "School timetable" refers to the timetable of classes and activities at the school the user attends.

[0729] "Club activity schedule" refers to the date, time, and content of club activities that the user will participate in.

[0730] "Homework schedule" refers to the deadlines and content of homework that the user is required to complete.

[0731] "Extracurricular activity schedule" refers to the schedule of activities and events that users will participate in outside of school.

[0732] "Cram school schedule" refers to the dates, times, and content of classes at the cram school the user attends.

[0733] "Activity location" refers to the places where users spend their time, such as school, home, or cram school.

[0734] "Travel time" refers to the time required for a user to move from one location to another.

[0735] "Method of transportation" refers to the means by which a user travels, such as walking, cycling, or driving.

[0736] A "server" refers to a computing system that analyzes data received from user terminals and generates schedules using a generated AI model.

[0737] A "generative AI model" refers to an artificial intelligence model that generates an optimal schedule based on user input data.

[0738] A "shopping route" refers to an optimized shopping path that takes into account the location, opening hours, and congestion levels of each store.

[0739] "Visual display methods" refer to ways of displaying generated schedules in a way that makes them easy for users to understand, using color coding or icons.

[0740] This invention is a system developed to allow children and their guardians to easily manage schedules and activity plans, thereby reducing stress in daily life. The system utilizes a user, a user terminal, a server, and a generative AI model.

[0741] Hardware and software configuration

[0742] Hardware used

[0743] User devices: Smartphones, tablets, PCs, or smart glasses

[0744] Server: A high-performance computer used for data analysis and schedule generation.

[0745] Software used

[0746] User Interface Application: Provides an interface for users to enter appointments.

[0747] Generative AI Model: Generates the optimal schedule based on data entered by the user.

[0748] Specific example: OpenAI GPT-4

[0749] System operation

[0750] Users input schedule-related information through their user terminals. This includes things like school timetables, club activity schedules, homework deadlines, extracurricular activity plans, tutoring class times, and transportation methods and travel times. This information is entered using a user interface application.

[0751] The entered data is sent from the user's terminal to the server. The server analyzes the received data and organizes it by time. Here, a generative AI model is used to automatically generate an optimal schedule based on the user's data. In this process, the generative AI model considers the time and location of each event, travel time between events, and the user's priorities.

[0752] The generated schedule is sent back to the user's device and displayed visually. This display uses color coding and icons to make it easy for the user to understand intuitively. For example, school events are shown in green, club activities in blue, and tutoring sessions in red.

[0753] Furthermore, this system also includes features that enable users to efficiently carry out their daily shopping at physical stores. When a user enters their shopping list and the stores they plan to visit, the server generates the optimal shopping route based on the specified conditions. This route is optimized considering the location, opening hours, and congestion levels of each store.

[0754] Specific example

[0755] For example, if a user enters the following information,

[0756] Shopping list: Bread, milk, eggs

[0757] Priority time slot: 13:00

[0758] Current location: Home

[0759] Means of transportation: Bicycle

[0760] By entering the following prompts into the generating AI model, the optimal schedule will be generated.

[0761] Point down

[0762] Create an optimal shopping schedule based on user input data. Consider the location, opening hours, and crowd levels of each store.

[0763] Shopping list: Bread, milk, eggs

[0764] Priority time slot: 13:00

[0765] Current location: Home

[0766] Means of transportation: Bicycle

[0767] As an example of a generated schedule,

[0768] 13:20-13:30 Purchased bread (Store A)

[0769] 13:35-13:45 Purchased milk (Store B)

[0770] 13:50-14:00 Purchased eggs (Store C)

[0771] In this way, centralized schedule management becomes possible, which is extremely beneficial for children and their guardians.

[0772] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0773] Step 1:

[0774] Users enter schedule-related information using their user terminals. This information includes school timetables, club activity schedules, homework deadlines, extracurricular activity schedules, tutoring class times, transportation methods, and travel time. The entered information is collected through a user interface application.

[0775] Input: School timetable, club activity schedule, homework schedule, extracurricular activity schedule, cram school schedule, activity location, travel time, method of travel

[0776] Output: Collection of information entered into the user terminal.

[0777] Step 2:

[0778] The terminal sends the data entered by the user to the server. The entered data is securely transferred to the server via the internet. The server receives the data and prepares for analysis.

[0779] Input: Information collected on the user's terminal

[0780] Output: Information sent to the server

[0781] Step 3:

[0782] The server analyzes the received data. Specifically, it organizes the time and location of each event, the travel time between events, etc., and converts it into an appropriate format. Data analysis includes preprocessing such as data validation and format conversion. This sorts the data to be analyzed.

[0783] Input: Information sent to the server

[0784] Output: Analyzed data

[0785] Step 4:

[0786] The server uses a generative AI model to automatically generate the optimal schedule, taking into account the analyzed data and user priorities. The generative AI model generates the optimal schedule based on the prompt messages and adjusts the time and location of events.

[0787] Input: Analyzed data, prompt message

[0788] Output: Generated schedule

[0789] Step 5:

[0790] The server sends the generated schedule to the user's terminal. The data sent includes details such as the start time, location, and travel time for each event. The data is sent in a format that is easy for the user to understand.

[0791] Input: Generated schedule

[0792] Output: Schedule sent to the user terminal

[0793] Step 6:

[0794] The device will visually display the received schedule. Specifically, it will use color coding and icons to allow users to understand the content and time of events at a glance. For example, school events might be color-coded green, club activities blue, and tutoring sessions red.

[0795] Input: Schedule sent to the user terminal

[0796] Output: Visual schedule display using color coding and icons.

[0797] Step 7:

[0798] (Steps specific to this application) Furthermore, the user enters information about their shopping list and planned stores to visit. This data is also collected through the user interface application.

[0799] Input: Shopping list, data of stores to visit

[0800] Output: Shopping information collected on the user's terminal

[0801] Step 8:

[0802] The terminal sends the collected shopping information to the server. On the server side, analysis is performed based on the shopping list and store information.

[0803] Input: Shopping information collected on the user's terminal

[0804] Output: Shopping information sent to the server

[0805] Step 9:

[0806] The server considers the location, opening hours, and congestion levels of each store to generate the optimal shopping route and schedule. This route is optimized using a generative AI model.

[0807] Input: Shopping information, prompt text

[0808] Output: Generated shopping route and schedule

[0809] Step 10:

[0810] The server sends the generated shopping schedule to the user's terminal, which displays it visually. The user can understand the order and timing of visits to each store at a glance.

[0811] Input: Generated shopping route and schedule

[0812] Output: Shopping schedule visually displayed on the user's terminal.

[0813] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0814] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules.

[0815] System Overview

[0816] This system consists of the following main components:

[0817] 1. User terminal

[0818] 2. Server

[0819] 3. Generative AI Models

[0820] 4. Emotional Engine

[0821] 5. Schedule display interface

[0822] Program processing details

[0823] User input

[0824] The terminal provides the user with an interface for entering information necessary for scheduling. This interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring sessions, activity locations, travel time, and travel methods.

[0825] Collection of emotional data

[0826] The device recognizes the user's emotional state in real time through an emotion engine and sends that data to the server. The emotion engine analyzes the user's emotional state based on the user's facial expressions, voice tone, input data, and other factors.

[0827] Data transmission and analysis

[0828] The terminal sends the entered information data and emotional data to the server.

[0829] The server analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[0830] Schedule generation

[0831] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the user's schedule based on emotional data. For example, if the user is in a stressful emotional state, the schedule will be scheduled to include more time for relaxation.

[0832] For example, Monday's schedule is generated as follows:

[0833] 08:30〜09:20 Mathematics (school)

[0834] 09:30-10:20 English (School)

[0835] 10:30-11:20 Science (school)

[0836] 14:00-16:00 Relaxation time (adjustment by emotional engine)

[0837] 17:00-18:30 Cram school (cram school)

[0838] Results submitted and displayed

[0839] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[0840] The device displays received schedules in a visually easy-to-understand format for the user. This includes using color coding and icons for visual clarity. For example, green might represent school classes, blue represents club activities, red represents tutoring time, and yellow represents relaxation time.

[0841] Specific example

[0842] For example, suppose a user enters the following information.

[0843] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0844] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0845] Homework schedule: Wednesday - Submit English homework.

[0846] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0847] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0848] Activity locations: school, home, cram school

[0849] Travel time: 15 minutes by bicycle

[0850] Method of transportation: Bicycle

[0851] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following.

[0852] Monday:

[0853] 08:30〜09:20 Mathematics (school)

[0854] 09:30-10:20 English (School)

[0855] 10:30-11:20 Science (school)

[0856] 14:00-16:00 Relaxation time

[0857] 17:00-18:30 Cram school (cram school)

[0858] Tuesday:

[0859] 08:30〜09:20 Society (school)

[0860] 10:30-11:20 Physical education (school)

[0861] 16:00-18:00 Club activities (soccer)

[0862] This schedule is sent to the device and displayed to the user visually using color coding and icons. In this way, children can easily understand the schedule and improve their self-management skills. Furthermore, by providing a schedule that is appropriate to the user's emotional state, it can reduce stress and support a better life.

[0863] The following describes the processing flow.

[0864] Step 1:

[0865] The terminal provides the user with an interface for entering information necessary for scheduling. The interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring, activity locations, travel time, and travel methods.

[0866] Step 2:

[0867] Users use the terminal interface to input various schedule information. Specifically, they input their Monday school timetable, club activity schedules, homework deadlines, extracurricular activity schedules, cram school schedules, the location of each activity, travel time, and method of transportation.

[0868] Step 3:

[0869] The terminal verifies the entered information and checks for any missing details. After checking that all required information has been entered, it proceeds to the next step.

[0870] Step 4:

[0871] The device activates the emotion engine. The emotion engine analyzes the user's facial expressions, voice tone, input data, etc., in real time to recognize the user's emotional state.

[0872] Step 5:

[0873] The emotion engine analyzes the recognized user's emotional state (e.g., fatigue, stress, relaxation) and generates data. This emotional data is used in the next step.

[0874] Step 6:

[0875] The terminal sends the entered schedule data and the emotion data obtained from the emotion engine to the server.

[0876] Step 7:

[0877] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[0878] Step 8:

[0879] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the schedule based on the user's emotional data. For example, if the user is fatigued, the schedule will be designed to include more rest periods.

[0880] Step 9:

[0881] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[0882] Step 10:

[0883] The terminal analyzes the schedule data received from the server and displays the schedule in a user-friendly format. Specifically, it uses color coding and icons to visually represent each item in the schedule in an easy-to-understand way.

[0884] Step 11:

[0885] The user reviews the displayed schedule. They can then modify or add information to the schedule as needed.

[0886] Step 12:

[0887] The terminal resends user changes and additional schedule data to the server and requests schedule regeneration as needed. This process is repeated until the user is satisfied with the optimal schedule.

[0888] This process makes it easier for children to create and understand schedules, improving their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[0889] (Example 2)

[0890] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0891] For children, managing schedules and self-management is extremely difficult. Traditional scheduling systems fail to consider the user's emotional state, potentially increasing stress. Therefore, there is a need for a system that automatically generates schedules that children can comfortably manage and presents them in a visually easy-to-understand format.

[0892] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods; means for an emotion engine to analyze the user's emotional state based on the received data, to recognize the user's emotional state in real time, and to collect data thereof; means for transmitting the data and emotional state data to the server; means for the server to analyze the data and emotional state data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible to automatically generate and provide a schedule suitable for the user's emotional state.

[0893] "User" refers to a child and their guardian who use the system to input and manage their schedule.

[0894] A "school timetable" refers to a schedule of classes and activities at an educational institution.

[0895] "Club activity schedule" refers to the schedule of club activities and extracurricular activities held at schools and in the local community.

[0896] "Homework schedule" refers to the submission period and content of assignments and homework assigned by schools or educational institutions.

[0897] "Outdoor activity schedule" refers to the schedule of field trips, excursions, practical training, and other activities conducted as part of the educational activities of schools and educational institutions.

[0898] "Educational institution" is a general term that encompasses facilities that provide education, such as schools, cram schools, and classrooms.

[0899] "Activity location" refers to the place where the designated classes, activities, or events take place in each schedule.

[0900] "Travel time" refers to the time required to move from one place to the next.

[0901] "Method of transportation" refers to the means by which a user moves between activity locations, including, for example, cycling, taking a bus, or walking.

[0902] An "emotion engine" is a software component that analyzes a user's emotions and recognizes their emotional state in real time.

[0903] A "server" refers to a computer system used to process and analyze data sent by users.

[0904] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on received data and emotional state data.

[0905] A "user terminal" refers to a device used by a user to input or view schedules.

[0906] "Means of visual display" refers to a function that displays the generated schedule on the device using color coding, icons, etc., so that the user can intuitively understand it.

[0907] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules. This system mainly consists of a user terminal, a server, a generation AI model, an emotion engine, and a schedule display interface.

[0908] Collection of user input data

[0909] The user inputs data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods through the terminal interface. Specifically, the user inputs the following:

[0910] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0911] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0912] Homework schedule: Wednesday - Submit English homework.

[0913] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0914] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0915] Activity locations: school, home, cram school

[0916] Travel time: 15 minutes by bicycle

[0917] Method of transportation: Bicycle

[0918] Collection of emotional data

[0919] The device uses an emotion engine to recognize the user's emotional state in real time and collect that data. The emotion engine uses a camera to capture the user's facial expressions and a microphone to analyze the tone of their voice. For example, if the user makes a flustered facial expression or their voice tone rises while typing, the emotion engine will detect "stress."

[0920] Data transmission and analysis

[0921] The device converts the input data and sentiment data into JSON format and sends it to the server via a secure API.

[0922] Schedule generation

[0923] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model takes into account the user's emotional state data and adjusts the schedule, such as adding relaxation time to reduce stress. For example, if the user is feeling "stressed," the AI ​​model will add "14:00-16:00 Relaxation Time."

[0924] Sending and displaying results

[0925] The server converts the generated schedule into an appropriate format and sends it to the terminal. The terminal displays the schedule in a visually easy-to-understand format. For example, it might use color coding such as green for "math," yellow for "relaxation time," and red for "cram school."

[0926] Specific example

[0927] Consider the case where the user enters the following information.

[0928] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[0929] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[0930] Homework schedule: Wednesday - Submit English homework.

[0931] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[0932] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[0933] Activity locations: school, home, cram school

[0934] Travel time: 15 minutes by bicycle

[0935] Method of transportation: Bicycle

[0936] If the emotion engine detects that the user is feeling "stressed," the AI ​​model generates a schedule like this:

[0937] Monday:

[0938] 08:30〜09:20 Mathematics (school)

[0939] 09:30-10:20 English (School)

[0940] 10:30-11:20 Science (school)

[0941] 14:00-16:00 Relaxation time

[0942] 17:00-18:30 Cram school (cram school)

[0943] This schedule is sent to the device and displayed to the user visually using color coding and icons.

[0944] Example of a prompt

[0945] Please enter information such as "Monday 08:30-09:20 Math", "Monday 09:30-10:20 English", and "Tuesday 16:00-18:00 Soccer Club".

[0946] This allows children to easily understand schedules and improve their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[0947] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0948] Step 1: User Input

[0949] The user enters the necessary data for scheduling (school timetable, club activity schedule, homework schedule, extracurricular activity schedule, educational institution schedule, activity location, travel time, and travel method) into the terminal interface.

[0950] Example input: Monday 08:30-09:20 Math, 09:30-10:20 English

[0951] The entered data is temporarily stored within the device.

[0952] Step 2: Collecting emotional data

[0953] The device activates an emotion engine in parallel with collecting input data, analyzing the user's emotional state in real time. This is done using a camera and microphone.

[0954] The emotion engine calculates the user's emotional state from their facial expressions and tone of voice.

[0955] Input example: The user's facial expression is anxious, and their voice tone is high.

[0956] Output example: Emotional data identified as "stress"

[0957] Step 3: Data transmission

[0958] The device converts the collected schedule data and sentiment data into JSON format and sends it to the server.

[0959] Input example: Schedule data and sentiment data entered by the user.

[0960] The data is transmitted securely via HTTP requests.

[0961] Output example: JSON data received by the server

[0962] Step 4: Data Analysis

[0963] The server parses the received JSON data and extracts the time, location, travel time, travel method, and emotional state for each event. The analysis is performed using a Python script.

[0964] Input example: JSON data

[0965] Example output: Details of each event (Example: Monday 08:30-09:20 Math, Emotional state "Stress")

[0966] Step 5: Generate Schedule

[0967] The server uses a generative AI model to generate an optimal schedule based on the analyzed data. The generative AI model uses machine learning algorithms to adjust the schedule while taking sentiment data into consideration.

[0968] Input example: Detailed data and emotional state for each event

[0969] Data processing: For example, when adding relaxation time based on emotional data.

[0970] Output example: Optimized schedule (Example: Relaxation time added from 14:00 to 16:00)

[0971] Step 6: Submit the results

[0972] The server converts the generated schedule into the appropriate format (JSON format) and sends it to the terminal.

[0973] Input example: Optimized schedule data

[0974] Data processing: Convert to a visually easy-to-understand format (e.g., color coding and adding icons).

[0975] Output example: Generation schedule received by the terminal

[0976] Step 7: Displaying the results

[0977] The device visually displays received schedules to the user. This uses color coding and icons to allow for quick understanding of the content at a glance.

[0978] Input example: Generation schedule received from the server

[0979] Output example: Visually displayed schedule (e.g., green for school activities, yellow for relaxation time, red for tutoring / cram school)

[0980] Through the steps outlined above, users can automatically generate schedules tailored to their emotional state, enabling comfortable schedule management.

[0981] (Application Example 2)

[0982] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0983] Conventional scheduling systems generate schedules without considering the emotional state of a particular user, potentially increasing the user's psychological burden. Furthermore, creating optimal schedules tailored to a child's characteristics is difficult, and there are limitations to displaying them in a user-friendly format. Therefore, this invention provides a system that creates schedules while taking the user's emotional state into account, reducing the psychological burden on children, and providing schedules in a format that is easy for them to understand.

[0984] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0985] In this invention, the server includes means for collecting and analyzing emotional data from the user, means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods, and means for automatically generating a schedule using a generation AI model based on the aforementioned data and emotional data. This makes it possible to generate a schedule that reflects the user's emotional state and display it in a visually easy-to-understand format.

[0986] The term "child" refers to a child who exhibits development that deviates from the normal developmental process in a particular area.

[0987] A "schedule creation support system" refers to a system that helps users organize their activities systematically and generates and displays those schedules.

[0988] "User" refers to an individual who uses this system to create a schedule.

[0989] "School timetable" refers to the timely arrangement of classes at a school.

[0990] "Club activity schedule" refers to the schedule of club activities, sports, and other activities that take place outside of school hours.

[0991] "Homework schedule" refers to a schedule of learning activities that should be done at home.

[0992] "Scheduled extracurricular activities" refers to planned activities that take place outside of school.

[0993] "Cram school schedule" refers to a schedule of learning at an educational institution outside of school.

[0994] "Activity location" refers to the place where a user performs a specific activity.

[0995] "Travel time" refers to the time required to move between different activity locations.

[0996] "Method of transportation" refers to the means used to move between activity locations.

[0997] "Data" refers to the information necessary to generate a schedule.

[0998] A "server" refers to a computer system that performs data analysis and generates schedules.

[0999] "Emotional data" refers to information about a user's emotional state.

[1000] "Means for collecting and analyzing emotional data" refers to functions that detect a user's emotional state and analyze that information.

[1001] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on data.

[1002] A "visual interface" refers to an interface that visually displays the generated schedule to the user.

[1003] "Color coding" refers to a display format that uses different colors to show different types of information.

[1004] An "icon" refers to a small diagram used to visually represent a specific activity or piece of information.

[1005] A "user terminal" refers to a device that a user directly operates.

[1006] "Means of visual display" refers to technologies and functions that make the generated schedule easy for users to understand.

[1007] A "schedule" refers to the time arrangement of planned activities over a specific period of time.

[1008] This invention provides a schedule creation assistance system for children, which generates an optimal schedule that takes into account the user's emotional state. This system consists of the following main components:

[1009] 1. User terminal

[1010] The user terminal refers to a mobile device such as a smartphone or tablet. The user uses this terminal to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, tutoring schedules, activity locations, travel time, and travel methods. Simultaneously, the user terminal collects user emotional data using its camera and microphone.

[1011] 2. Server

[1012] The server receives and analyzes data transmitted from the user's terminal. Based on the user's input data and emotional data, it automatically generates a schedule using a generative AI model. This creates a flexible schedule that reflects the user's emotional state.

[1013] 3. Generative AI Models

[1014] The generative AI model has an algorithm that analyzes acquired data (such as school timetables, club activity schedules, and emotional data) to generate an optimal schedule. For example, if it determines that the user is feeling stressed, it will make adjustments such as adding relaxation time.

[1015] 4. Visual Interface

[1016] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to make it easy to distinguish between school classes, club activities, extracurricular activities, tutoring, relaxation time, and other activities at a glance.

[1017] Program Processing Description

[1018] Hardware:

[1019] User devices (smartphones, tablets)

[1020] server

[1021] software:

[1022] OpenCV: A library for analyzing a user's facial expressions.

[1023] Keras: A library for running emotion recognition algorithms.

[1024] Requests: An HTTP request library used to retrieve food suggestions.

[1025] Data processing and data calculations:

[1026] 1. Collection and analysis of emotional data:

[1027] The system uses the user's device's camera and microphone to perform facial recognition and voice tone analysis. This allows for the collection of user emotion data in real time.

[1028] 2. Data transmission and schedule generation:

[1029] The collected emotional data and user-input data are sent to the server. The server analyzes the received data and uses a generative AI model to automatically generate a schedule tailored to the user's emotions.

[1030] 3. Results display:

[1031] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly understand the type of activity.

[1032] Specific example

[1033] For example, suppose a user enters the following information:

[1034] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1035] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1036] Homework schedule: Wednesday - Submit English homework.

[1037] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1038] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1039] Activity locations: school, home, cram school

[1040] Travel time: 15 minutes by bicycle

[1041] Method of transportation: Bicycle

[1042] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following:

[1043] Monday:

[1044] 08:30〜09:20 Mathematics (school)

[1045] 09:30-10:20 English (School)

[1046] 10:30-11:20 Science (school)

[1047] 14:00-16:00 Relaxation time (adjustment by emotional engine)

[1048] 17:00-18:30 Cram school (cram school)

[1049] This schedule is displayed in a visually easy-to-understand format, helping users understand it and providing appropriate stress management.

[1050] Example of a prompt

[1051] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[1052] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1053] Step 1:

[1054] Users use a user device such as a smartphone or tablet to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[1055] Input: Data on school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[1056] Output: The information entered by the user is saved on the device.

[1057] Step 2:

[1058] The user terminal uses a camera and microphone to collect the user's facial expressions and voice tone in real time and analyze the emotional data. This analysis uses the OpenCV and Keras libraries.

[1059] Input: User's facial expressions and voice

[1060] Output: User sentiment data

[1061] Step 3:

[1062] The user terminal sends the acquired emotion data and input data to the server.

[1063] Input: User sentiment data and input data (school timetable, club activity schedule, etc.)

[1064] Output: Sentiment data and input data transferred to the server

[1065] Step 4:

[1066] The server analyzes the received data. It inputs emotion data and input data into a generative AI model for analysis. The generative AI model is used for data analysis.

[1067] Input: Received sentiment data and input data

[1068] Output: Analyzed data and results

[1069] Step 5:

[1070] The server uses a generative AI model to automatically generate a schedule that takes the user's emotional state into account. For example, if the user is feeling stressed, it will add relaxation time. Data processing and calculations in the generation process are based on the algorithms of the generative AI model.

[1071] Input: Analyzed data and sentiment data

[1072] Output: A schedule tailored to the user's emotional state.

[1073] Step 6:

[1074] The generated schedule is sent from the server to the user's terminal.

[1075] Input: Schedule

[1076] Output: Schedule sent to the user terminal

[1077] Step 7:

[1078] The user terminal visually displays the received schedule. It uses color coding and icons to present the schedule in a user-friendly format.

[1079] Input: Received schedule

[1080] Output: Visually displayed schedule

[1081] Example of a prompt

[1082] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[1083] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1084] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1085] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[1086] [Third Embodiment]

[1087] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1088] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1089] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1090] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[1091] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1092] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1093] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1094] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1095] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1096] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1097] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1098] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[1099] This invention relates to a system that assists in creating schedules for children. Specifically, it uses a generating AI model to automatically create an optimal schedule based on various schedule information entered by the user.

[1100] System Overview

[1101] This system consists of the following main components:

[1102] 1. User terminal

[1103] 2. Server

[1104] 3. Generative AI Models

[1105] 4. Schedule display interface

[1106] Program processing details

[1107] User input

[1108] The terminal provides the user with an interface for entering the information necessary for scheduling.

[1109] School timetable (Example: Monday 08:30-09:20 Math, 09:30-10:20 English)

[1110] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[1111] Homework schedule (Example: Wednesday - English homework due)

[1112] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[1113] Tutoring schedule (Example: Mondays and Thursdays, 17:00-18:30)

[1114] Location of activity (e.g., school, home, cram school)

[1115] Travel time (e.g., 15 minutes by bicycle)

[1116] Method of transportation (e.g., bicycle, walking)

[1117] Data transmission and analysis

[1118] The terminal sends the data entered by the user to the server.

[1119] The server analyzes the received data, organizes it by time, and converts it into the appropriate format.

[1120] Schedule generation

[1121] The server uses a generative AI model to generate an optimal schedule, taking into account the time and location of each event, travel time between events, and user priorities.

[1122] For example, Monday's schedule is generated as follows:

[1123] 08:30〜09:20 Mathematics (school)

[1124] 09:30-10:20 English (School)

[1125] 10:30-11:20 Science (school)

[1126] 14:00-16:00 Free time (for homework)

[1127] 17:00-18:30 Cram school (cram school)

[1128] Results submitted and displayed

[1129] The server sends the generated schedule to the user's terminal.

[1130] The device displays received schedules in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly see what appointments are scheduled for which time slots.

[1131] Specific example

[1132] For example, suppose a user enters the following information.

[1133] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1134] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1135] Homework schedule: Wednesday - Submit English homework.

[1136] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1137] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1138] Location of activities: school, home, cram school

[1139] Travel time: 15 minutes by bicycle

[1140] Method of transportation: Bicycle

[1141] This information is sent to the server, and the generating AI model generates a schedule like the following.

[1142] Monday:

[1143] 08:30〜09:20 Mathematics (school)

[1144] 09:30-10:20 English (School)

[1145] 10:30-11:20 Science (school)

[1146] 14:00-16:00 Free time (for homework)

[1147] 17:00-18:30 Cram school (cram school)

[1148] Tuesday:

[1149] 08:30〜09:20 Society (school)

[1150] 10:30-11:20 Physical education (school)

[1151] 16:00-18:00 Club activities (soccer)

[1152] This schedule is sent to the device and displayed to the user visually using color coding and icons. For example, green might represent school classes, blue might represent club activities, and red might represent tutoring time.

[1153] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and teachers.

[1154] The following describes the processing flow.

[1155] Step 1:

[1156] The terminal displays an interface for the user to enter the information needed for scheduling. The interface includes input fields for school timetable, club activity schedule, homework schedule, extracurricular activity schedule, tutoring schedule, activity location, travel time, and travel method.

[1157] Step 2:

[1158] The user enters the necessary information using the terminal interface. For example, they might enter their Monday school schedule, club activity schedule, homework deadlines, weekend outings, tutoring schedule, activity locations, travel time between locations, and methods of transportation.

[1159] Step 3:

[1160] The terminal verifies the entered information and checks for any missing required fields. Once it confirms that all required information has been entered, it proceeds to the next step.

[1161] Step 4:

[1162] The terminal converts the input data into the appropriate format and sends it to the server. This includes organizing the input data, converting the format, and encrypting it if necessary.

[1163] Step 5:

[1164] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, the travel time between events, and the method of travel.

[1165] Step 6:

[1166] The server uses a generation AI model to automatically generate an optimal schedule based on the received data. It adjusts the timing of events to avoid overlaps and takes travel time into consideration when scheduling. It also creates a schedule that takes the user's priorities (e.g., important classes or relaxation time) into account.

[1167] Step 7:

[1168] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1169] Step 8:

[1170] The terminal analyzes the schedule data received from the server and displays it in a format that is easy for the user to understand. This includes methods such as using color coding and icons to make it visually easy to understand.

[1171] Step 9:

[1172] The user checks the schedule displayed on the device. They can make changes or add information as needed.

[1173] Step 10:

[1174] The terminal sends the user's modified schedule back to the server and repeats the process of generating the updated schedule. This process can be repeated until the user is satisfied.

[1175] This process makes it easier for children to create and understand schedules, and improves their self-management skills.

[1176] (Example 1)

[1177] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1178] Children often have difficulty managing and understanding their schedules, which can disrupt their daily lives. Therefore, there is a need for a system that efficiently creates schedules and provides them in a visually easy-to-understand format. Furthermore, there is a need for methods to reduce the time and effort that parents and educators spend on schedule management.

[1179] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1180] In this invention, the server includes means for receiving data from a user regarding the school's timetable, club activity schedule, homework schedule, extracurricular activity schedule, supplementary school schedule, activity location, travel time, and travel method; means for transmitting the data to the server; means for the server to analyze the data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible for children to easily understand their schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1181] A "user" is the entity that uses the system to create a child's schedule, and typically refers to a parent or educator.

[1182] "Educational institutions" refer to facilities that provide education, such as elementary schools, junior high schools, high schools, vocational schools, and universities.

[1183] "Club activities" refers to club activities and circle activities that children, students, and pupils attending educational institutions participate in after school or on weekends.

[1184] "Homework" refers to learning assignments or tasks that are given by educational institutions and must be completed at home.

[1185] "Extracurricular activities" refer to learning and experiential activities conducted outside of educational institutions or the home, and include things like field trips and excursions.

[1186] A "supplementary learning facility" refers to a facility where children and students can receive additional learning support outside of regular school classes, and includes cram schools and preparatory schools.

[1187] "Activity location" refers to the specific place where each event takes place, such as educational institutions, homes, or supplementary learning facilities.

[1188] "Travel time" refers to the time required to move between activity locations.

[1189] "Method of transportation" refers to the means of moving between different activity locations, such as by bicycle, on foot, or by public transport.

[1190] "Means of receiving data" refers to interfaces, sensors, and other devices used to acquire schedule information entered by users.

[1191] A "server" refers to a computing device used for data analysis, schedule generation, and the storage and transmission of those results.

[1192] "Analysis means" refers to algorithms and programs used by a server to organize the data it receives and convert it into meaningful information.

[1193] A "generative AI model" refers to an artificial intelligence model that generates the optimal schedule based on the data it receives.

[1194] "Automatic generation method" refers to a function that automatically creates schedules using a generation AI model.

[1195] "Means of visual display" refers to displays and interfaces that use color coding and images to show the generated schedule in a format that is easy for the user to understand.

[1196] This invention relates to a system that assists in creating schedules for children. Specifically, it is a system that automatically creates an optimal schedule using a generation AI model based on various schedule information entered by the user.

[1197] System Overview

[1198] This system consists of the following main components:

[1199] 1. User terminal

[1200] 2. Server

[1201] 3. Generative AI Models

[1202] 4. Schedule display interface

[1203] System operation procedures

[1204] User input

[1205] The terminal provides the user with an interface for entering schedule information. Through this interface, the user can enter the following items:

[1206] Educational institution timetable (Example: Monday 08:30-09:20 Mathematics)

[1207] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[1208] Homework schedule (Example: Wednesday - English homework due)

[1209] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[1210] Schedule for supplementary lessons (Example: Mondays and Thursdays, 17:00-18:30, tutoring)

[1211] Location of activity (e.g., school, home, cram school)

[1212] Travel time (e.g., 15 minutes by bicycle)

[1213] Method of transportation (e.g., bicycle, walking)

[1214] Data transmission and analysis

[1215] The terminal sends the data entered by the user to the server. The data is transmitted using a secure communication protocol (e.g., HTTPS).

[1216] The server analyzes the received data, organizes it by time, and converts it into an appropriate format. Specifically, it analyzes information such as the start time, end time, location, and travel time of each event, and organizes it by time. It also checks for inconsistencies and duplicates.

[1217] Schedule generation

[1218] The server uses a generative AI model based on the analyzed data to generate the optimal schedule. The generative AI model is input with prompts for schedule generation. For example,

[1219] Information entered by the user:

[1220] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1221] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1222] Homework schedule: Wednesday - Submit English homework.

[1223] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1224] Supplementary lesson schedule: Mondays and Thursdays, 17:00-18:30

[1225] Locations of activity: Educational institutions, homes, cram schools

[1226] Travel time: 15 minutes by bicycle

[1227] Method of transportation: Bicycle

[1228] Please use this information to generate the optimal schedule.

[1229] By entering this prompt, the generating AI model will create an optimal schedule considering the time and location of each event, travel time, and user priorities.

[1230] Results submitted and displayed

[1231] The server sends the generated schedule to the user's terminal. The data is then sent again using a secure communication protocol (e.g., HTTPS).

[1232] The device displays received schedules in a visually easy-to-understand format. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities.

[1233] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1234] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1235] Step 1: User Input

[1236] The terminal provides the user with an interface for entering schedule information. The user enters data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, supplementary school schedules, activity locations, travel time, and travel methods. The entered data is converted into a structured data format such as JSON.

[1237] Step 2: Data transmission

[1238] The terminal sends the JSON data entered by the user to the server using a secure communication protocol (e.g., HTTPS). The input data includes the event's start time, end time, location, travel time, and method of travel. The terminal confirms the successful transmission and displays a confirmation message.

[1239] Step 3: Data Analysis

[1240] The server parses the received JSON data. During the data analysis process, it extracts the start time, end time, location, travel time, and travel method for each event, and organizes them into a specific format (e.g., a list or table). It also checks for inconsistencies and duplicates, and generates error messages as needed. The input is JSON data, and the output is the parsed data in list or table format.

[1241] Step 4: Schedule Generation

[1242] The server uses a generative AI model based on the analyzed data to generate prompts and input them into the AI ​​model. A specific example of a prompt is, "Information entered by the user: Educational institution timetable... Based on this information, please generate the optimal schedule." The generative AI model receives the prompt and generates the optimal schedule, taking into account the time and location of each event, travel time between events, and the user's priorities. The input is the prompt and the analyzed data, and the output is the generated schedule.

[1243] Step 5: Submit Results

[1244] The server sends the generated schedule to the user's terminal. The data is again sent using a secure communication protocol (e.g., HTTPS). The input is the generated schedule data, and the output is the schedule sent to the user's terminal.

[1245] Step 6: Display Results

[1246] The terminal displays received schedules in a visually easy-to-understand format for the user. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities. In addition, each event is accompanied by an image to make it intuitively understandable. The input is schedule data sent from the server, and the output is a visually displayed schedule.

[1247] This allows children to easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1248] (Application Example 1)

[1249] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1250] For children, schedule management is extremely important, but self-management is often difficult. Furthermore, insufficient schedule management can disrupt daily life. Conventional methods managed timetables and activity schedules individually, resulting in inefficient overall schedule management. Also, shopping and daily outings often lacked planning and caused stress because children acted without considering the location, opening hours, and crowd levels of each store. There is a need to solve these problems and enable children and their guardians to live their daily lives with peace of mind.

[1251] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1252] In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods; means for transmitting the data to the server and automatically generating a schedule suitable for the child using a generation AI model; means for transmitting the schedule to the user terminal and generating a shopping route and schedule that takes into account the location, business hours, and congestion of each store; and means for visually displaying the generated schedule. This enables children to manage their schedules in a centralized manner, allowing them to act more efficiently and also helping to reduce stress.

[1253] "Children" refers to children with developmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD).

[1254] A "schedule creation support system" is a system that generates and visually displays an optimal schedule based on the user's input.

[1255] "User terminal" refers to electronic devices used by users, such as smartphones, tablets, and personal computers.

[1256] "School timetable" refers to the timetable of classes and activities at the school the user attends.

[1257] "Club activity schedule" refers to the date, time, and content of club activities that the user will participate in.

[1258] "Homework schedule" refers to the deadlines and content of homework that the user is required to complete.

[1259] "Extracurricular activity schedule" refers to the schedule of activities and events that users will participate in outside of school.

[1260] "Cram school schedule" refers to the dates, times, and content of classes at the cram school the user attends.

[1261] "Activity location" refers to the places where users spend their time, such as school, home, or cram school.

[1262] "Travel time" refers to the time required for a user to move from one location to another.

[1263] "Method of transportation" refers to the means by which a user travels, such as walking, cycling, or driving.

[1264] A "server" refers to a computing system that analyzes data received from user terminals and generates schedules using a generated AI model.

[1265] A "generative AI model" refers to an artificial intelligence model that generates an optimal schedule based on user input data.

[1266] A "shopping route" refers to an optimized shopping path that takes into account the location, opening hours, and congestion levels of each store.

[1267] "Visual display methods" refer to ways of displaying generated schedules in a way that makes them easy for users to understand, using color coding or icons.

[1268] This invention is a system developed to allow children and their guardians to easily manage schedules and activity plans, thereby reducing stress in daily life. The system utilizes a user, a user terminal, a server, and a generative AI model.

[1269] Hardware and software configuration

[1270] Hardware used

[1271] User devices: Smartphones, tablets, PCs, or smart glasses

[1272] Server: A high-performance computer used for data analysis and schedule generation.

[1273] Software used

[1274] User Interface Application: Provides an interface for users to enter appointments.

[1275] Generative AI Model: Generates the optimal schedule based on data entered by the user.

[1276] Specific example: OpenAI GPT-4

[1277] System operation

[1278] Users input schedule-related information through their user terminals. This includes things like school timetables, club activity schedules, homework deadlines, extracurricular activity plans, tutoring class times, and transportation methods and travel times. This information is entered using a user interface application.

[1279] The entered data is sent from the user's terminal to the server. The server analyzes the received data and organizes it by time. Here, a generative AI model is used to automatically generate an optimal schedule based on the user's data. In this process, the generative AI model considers the time and location of each event, travel time between events, and the user's priorities.

[1280] The generated schedule is sent back to the user's device and displayed visually. This display uses color coding and icons to make it easy for the user to understand intuitively. For example, school events are shown in green, club activities in blue, and tutoring sessions in red.

[1281] Furthermore, this system also includes features that enable users to efficiently carry out their daily shopping at physical stores. When a user enters their shopping list and the stores they plan to visit, the server generates the optimal shopping route based on the specified conditions. This route is optimized considering the location, opening hours, and congestion levels of each store.

[1282] Specific example

[1283] For example, if a user enters the following information,

[1284] Shopping list: Bread, milk, eggs

[1285] Priority time slot: 13:00

[1286] Current location: Home

[1287] Means of transportation: Bicycle

[1288] By entering the following prompts into the generating AI model, the optimal schedule will be generated.

[1289] Point down

[1290] Create an optimal shopping schedule based on user input data. Consider the location, opening hours, and crowd levels of each store.

[1291] Shopping list: Bread, milk, eggs

[1292] Priority time slot: 13:00

[1293] Current location: Home

[1294] Means of transportation: Bicycle

[1295] As an example of a generated schedule,

[1296] 13:20-13:30 Purchased bread (Store A)

[1297] 13:35-13:45 Purchased milk (Store B)

[1298] 13:50-14:00 Purchased eggs (Store C)

[1299] In this way, centralized schedule management becomes possible, which is extremely beneficial for children and their guardians.

[1300] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1301] Step 1:

[1302] Users enter schedule-related information using their user terminals. This information includes school timetables, club activity schedules, homework deadlines, extracurricular activity schedules, tutoring class times, transportation methods, and travel time. The entered information is collected through a user interface application.

[1303] Input: School timetable, club activity schedule, homework schedule, extracurricular activity schedule, cram school schedule, activity location, travel time, method of travel

[1304] Output: Collection of information entered into the user terminal.

[1305] Step 2:

[1306] The terminal sends the data entered by the user to the server. The entered data is securely transferred to the server via the internet. The server receives the data and prepares for analysis.

[1307] Input: Information collected on the user's terminal

[1308] Output: Information sent to the server

[1309] Step 3:

[1310] The server analyzes the received data. Specifically, it organizes the time and location of each event, the travel time between events, etc., and converts it into an appropriate format. Data analysis includes preprocessing such as data validation and format conversion. This sorts the data to be analyzed.

[1311] Input: Information sent to the server

[1312] Output: Analyzed data

[1313] Step 4:

[1314] The server uses a generative AI model to automatically generate the optimal schedule, taking into account the analyzed data and user priorities. The generative AI model generates the optimal schedule based on the prompt messages and adjusts the time and location of events.

[1315] Input: Analyzed data, prompt message

[1316] Output: Generated schedule

[1317] Step 5:

[1318] The server sends the generated schedule to the user's terminal. The data sent includes details such as the start time, location, and travel time for each event. The data is sent in a format that is easy for the user to understand.

[1319] Input: Generated schedule

[1320] Output: Schedule sent to the user terminal

[1321] Step 6:

[1322] The device will visually display the received schedule. Specifically, it will use color coding and icons to allow users to understand the content and time of events at a glance. For example, school events might be color-coded green, club activities blue, and tutoring sessions red.

[1323] Input: Schedule sent to the user terminal

[1324] Output: Visual schedule display using color coding and icons.

[1325] Step 7:

[1326] (Steps specific to this application) Furthermore, the user enters information about their shopping list and planned stores to visit. This data is also collected through the user interface application.

[1327] Input: Shopping list, data of stores to visit

[1328] Output: Shopping information collected on the user's terminal

[1329] Step 8:

[1330] The terminal sends the collected shopping information to the server. On the server side, analysis is performed based on the shopping list and store information.

[1331] Input: Shopping information collected on the user's terminal

[1332] Output: Shopping information sent to the server

[1333] Step 9:

[1334] The server considers the location, opening hours, and congestion levels of each store to generate the optimal shopping route and schedule. This route is optimized using a generative AI model.

[1335] Input: Shopping information, prompt text

[1336] Output: Generated shopping route and schedule

[1337] Step 10:

[1338] The server sends the generated shopping schedule to the user's terminal, which displays it visually. The user can understand the order and timing of visits to each store at a glance.

[1339] Input: Generated shopping route and schedule

[1340] Output: Shopping schedule visually displayed on the user's terminal.

[1341] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1342] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules.

[1343] System Overview

[1344] This system consists of the following main components:

[1345] 1. User terminal

[1346] 2. Server

[1347] 3. Generative AI Models

[1348] 4. Emotional Engine

[1349] 5. Schedule display interface

[1350] Program processing details

[1351] User input

[1352] The terminal provides the user with an interface for entering information necessary for scheduling. This interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring sessions, activity locations, travel time, and travel methods.

[1353] Collection of emotional data

[1354] The device recognizes the user's emotional state in real time through an emotion engine and sends that data to the server. The emotion engine analyzes the user's emotional state based on the user's facial expressions, voice tone, input data, and other factors.

[1355] Data transmission and analysis

[1356] The terminal sends the entered information data and emotional data to the server.

[1357] The server analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[1358] Schedule generation

[1359] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the user's schedule based on emotional data. For example, if the user is in a stressful emotional state, the schedule will be scheduled to include more time for relaxation.

[1360] For example, Monday's schedule is generated as follows:

[1361] 08:30〜09:20 Mathematics (school)

[1362] 09:30-10:20 English (School)

[1363] 10:30-11:20 Science (school)

[1364] 14:00-16:00 Relaxation time (adjustment by emotional engine)

[1365] 17:00-18:30 Cram school (cram school)

[1366] Results submitted and displayed

[1367] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1368] The device displays received schedules in a visually easy-to-understand format for the user. This includes using color coding and icons for visual clarity. For example, green might represent school classes, blue represents club activities, red represents tutoring time, and yellow represents relaxation time.

[1369] Specific example

[1370] For example, suppose a user enters the following information.

[1371] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1372] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1373] Homework schedule: Wednesday - Submit English homework.

[1374] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1375] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1376] Activity locations: school, home, cram school

[1377] Travel time: 15 minutes by bicycle

[1378] Method of transportation: Bicycle

[1379] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following.

[1380] Monday:

[1381] 08:30〜09:20 Mathematics (school)

[1382] 09:30-10:20 English (School)

[1383] 10:30-11:20 Science (school)

[1384] 14:00-16:00 Relaxation time

[1385] 17:00-18:30 Cram school (cram school)

[1386] Tuesday:

[1387] 08:30〜09:20 Society (school)

[1388] 10:30-11:20 Physical education (school)

[1389] 16:00-18:00 Club activities (soccer)

[1390] This schedule is sent to the device and displayed to the user visually using color coding and icons. In this way, children can easily understand the schedule and improve their self-management skills. Furthermore, by providing a schedule that is appropriate to the user's emotional state, it can reduce stress and support a better life.

[1391] The following describes the processing flow.

[1392] Step 1:

[1393] The terminal provides the user with an interface for entering information necessary for scheduling. The interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring, activity locations, travel time, and travel methods.

[1394] Step 2:

[1395] Users use the terminal interface to input various schedule information. Specifically, they input their Monday school timetable, club activity schedules, homework deadlines, extracurricular activity schedules, cram school schedules, the location of each activity, travel time, and method of transportation.

[1396] Step 3:

[1397] The terminal verifies the entered information and checks for any missing details. After checking that all required information has been entered, it proceeds to the next step.

[1398] Step 4:

[1399] The device activates the emotion engine. The emotion engine analyzes the user's facial expressions, voice tone, input data, etc., in real time to recognize the user's emotional state.

[1400] Step 5:

[1401] The emotion engine analyzes the recognized user's emotional state (e.g., fatigue, stress, relaxation) and generates data. This emotional data is used in the next step.

[1402] Step 6:

[1403] The terminal sends the entered schedule data and the emotion data obtained from the emotion engine to the server.

[1404] Step 7:

[1405] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[1406] Step 8:

[1407] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the schedule based on the user's emotional data. For example, if the user is fatigued, the schedule will be designed to include more rest periods.

[1408] Step 9:

[1409] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1410] Step 10:

[1411] The terminal analyzes the schedule data received from the server and displays the schedule in a user-friendly format. Specifically, it uses color coding and icons to visually represent each item in the schedule in an easy-to-understand way.

[1412] Step 11:

[1413] The user reviews the displayed schedule. They can then modify or add information to the schedule as needed.

[1414] Step 12:

[1415] The terminal resends user changes and additional schedule data to the server and requests schedule regeneration as needed. This process is repeated until the user is satisfied with the optimal schedule.

[1416] This process makes it easier for children to create and understand schedules, improving their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[1417] (Example 2)

[1418] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1419] For children, managing schedules and self-management is extremely difficult. Traditional scheduling systems fail to consider the user's emotional state, potentially increasing stress. Therefore, there is a need for a system that automatically generates schedules that children can comfortably manage and presents them in a visually easy-to-understand format.

[1420] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods; means for an emotion engine to analyze the user's emotional state based on the received data, to recognize the user's emotional state in real time, and to collect data thereof; means for transmitting the data and emotional state data to the server; means for the server to analyze the data and emotional state data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible to automatically generate and provide a schedule suitable for the user's emotional state.

[1421] "User" refers to a child and their guardian who use the system to input and manage their schedule.

[1422] A "school timetable" refers to a schedule of classes and activities at an educational institution.

[1423] "Club activity schedule" refers to the schedule of club activities and extracurricular activities held at schools and in the local community.

[1424] "Homework schedule" refers to the submission period and content of assignments and homework assigned by schools or educational institutions.

[1425] "Outdoor activity schedule" refers to the schedule of field trips, excursions, practical training, and other activities conducted as part of the educational activities of schools and educational institutions.

[1426] "Educational institution" is a general term that encompasses facilities that provide education, such as schools, cram schools, and classrooms.

[1427] "Activity location" refers to the place where the designated classes, activities, or events take place in each schedule.

[1428] "Travel time" refers to the time required to move from one place to the next.

[1429] "Method of transportation" refers to the means by which a user moves between activity locations, including, for example, cycling, taking a bus, or walking.

[1430] An "emotion engine" is a software component that analyzes a user's emotions and recognizes their emotional state in real time.

[1431] A "server" refers to a computer system used to process and analyze data sent by users.

[1432] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on received data and emotional state data.

[1433] A "user terminal" refers to a device used by a user to input or view schedules.

[1434] "Means of visual display" refers to a function that displays the generated schedule on the device using color coding, icons, etc., so that the user can intuitively understand it.

[1435] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules. This system mainly consists of a user terminal, a server, a generation AI model, an emotion engine, and a schedule display interface.

[1436] Collection of user input data

[1437] The user inputs data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods through the terminal interface. Specifically, the user inputs the following:

[1438] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1439] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1440] Homework schedule: Wednesday - Submit English homework.

[1441] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1442] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1443] Activity locations: school, home, cram school

[1444] Travel time: 15 minutes by bicycle

[1445] Method of transportation: Bicycle

[1446] Collection of emotional data

[1447] The device uses an emotion engine to recognize the user's emotional state in real time and collect that data. The emotion engine uses a camera to capture the user's facial expressions and a microphone to analyze the tone of their voice. For example, if the user makes a flustered facial expression or their voice tone rises while typing, the emotion engine will detect "stress."

[1448] Data transmission and analysis

[1449] The device converts the input data and sentiment data into JSON format and sends it to the server via a secure API.

[1450] Schedule generation

[1451] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model takes into account the user's emotional state data and adjusts the schedule, such as adding relaxation time to reduce stress. For example, if the user is feeling "stressed," the AI ​​model will add "14:00-16:00 Relaxation Time."

[1452] Sending and displaying results

[1453] The server converts the generated schedule into an appropriate format and sends it to the terminal. The terminal displays the schedule in a visually easy-to-understand format. For example, it might use color coding such as green for "math," yellow for "relaxation time," and red for "cram school."

[1454] Specific example

[1455] Consider the case where the user enters the following information.

[1456] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1457] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1458] Homework schedule: Wednesday - Submit English homework.

[1459] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1460] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1461] Activity locations: school, home, cram school

[1462] Travel time: 15 minutes by bicycle

[1463] Method of transportation: Bicycle

[1464] If the emotion engine detects that the user is feeling "stressed," the AI ​​model generates a schedule like this:

[1465] Monday:

[1466] 08:30〜09:20 Mathematics (school)

[1467] 09:30-10:20 English (School)

[1468] 10:30-11:20 Science (school)

[1469] 14:00-16:00 Relaxation time

[1470] 17:00-18:30 Cram school (cram school)

[1471] This schedule is sent to the device and displayed to the user visually using color coding and icons.

[1472] Example of a prompt

[1473] Please enter information such as "Monday 08:30-09:20 Math", "Monday 09:30-10:20 English", and "Tuesday 16:00-18:00 Soccer Club".

[1474] This allows children to easily understand schedules and improve their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[1475] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1476] Step 1: User Input

[1477] The user enters the necessary data for scheduling (school timetable, club activity schedule, homework schedule, extracurricular activity schedule, educational institution schedule, activity location, travel time, and travel method) into the terminal interface.

[1478] Example input: Monday 08:30-09:20 Math, 09:30-10:20 English

[1479] The entered data is temporarily stored within the device.

[1480] Step 2: Collecting emotional data

[1481] The device activates an emotion engine in parallel with collecting input data, analyzing the user's emotional state in real time. This is done using a camera and microphone.

[1482] The emotion engine calculates the user's emotional state from their facial expressions and tone of voice.

[1483] Input example: The user's facial expression is anxious, and their voice tone is high.

[1484] Output example: Emotional data identified as "stress"

[1485] Step 3: Data transmission

[1486] The device converts the collected schedule data and sentiment data into JSON format and sends it to the server.

[1487] Input example: Schedule data and sentiment data entered by the user.

[1488] The data is transmitted securely via HTTP requests.

[1489] Output example: JSON data received by the server

[1490] Step 4: Data Analysis

[1491] The server parses the received JSON data and extracts the time, location, travel time, travel method, and emotional state for each event. The analysis is performed using a Python script.

[1492] Input example: JSON data

[1493] Example output: Details of each event (Example: Monday 08:30-09:20 Math, Emotional state "Stress")

[1494] Step 5: Generate Schedule

[1495] The server uses a generative AI model to generate an optimal schedule based on the analyzed data. The generative AI model uses machine learning algorithms to adjust the schedule while taking sentiment data into consideration.

[1496] Input example: Detailed data and emotional state for each event

[1497] Data processing: For example, when adding relaxation time based on emotional data.

[1498] Output example: Optimized schedule (Example: Relaxation time added from 14:00 to 16:00)

[1499] Step 6: Submit the results

[1500] The server converts the generated schedule into the appropriate format (JSON format) and sends it to the terminal.

[1501] Input example: Optimized schedule data

[1502] Data processing: Convert to a visually easy-to-understand format (e.g., color coding and adding icons).

[1503] Output example: Generation schedule received by the terminal

[1504] Step 7: Displaying the results

[1505] The device visually displays received schedules to the user. This uses color coding and icons to allow for quick understanding of the content at a glance.

[1506] Input example: Generation schedule received from the server

[1507] Output example: Visually displayed schedule (e.g., green for school activities, yellow for relaxation time, red for tutoring / cram school)

[1508] Through the steps outlined above, users can automatically generate schedules tailored to their emotional state, enabling comfortable schedule management.

[1509] (Application Example 2)

[1510] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1511] Conventional scheduling systems generate schedules without considering the emotional state of a particular user, potentially increasing the user's psychological burden. Furthermore, creating optimal schedules tailored to a child's characteristics is difficult, and there are limitations to displaying them in a user-friendly format. Therefore, this invention provides a system that creates schedules while taking the user's emotional state into account, reducing the psychological burden on children, and providing schedules in a format that is easy for them to understand.

[1512] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1513] In this invention, the server includes means for collecting and analyzing emotional data from the user, means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods, and means for automatically generating a schedule using a generation AI model based on the aforementioned data and emotional data. This makes it possible to generate a schedule that reflects the user's emotional state and display it in a visually easy-to-understand format.

[1514] The term "child" refers to a child who exhibits development that deviates from the normal developmental process in a particular area.

[1515] A "schedule creation support system" refers to a system that helps users organize their activities systematically and generates and displays those schedules.

[1516] "User" refers to an individual who uses this system to create a schedule.

[1517] "School timetable" refers to the timely arrangement of classes at a school.

[1518] "Club activity schedule" refers to the schedule of club activities, sports, and other activities that take place outside of school hours.

[1519] "Homework schedule" refers to a schedule of learning activities that should be done at home.

[1520] "Scheduled extracurricular activities" refers to planned activities that take place outside of school.

[1521] "Cram school schedule" refers to a schedule of learning at an educational institution outside of school.

[1522] "Activity location" refers to the place where a user performs a specific activity.

[1523] "Travel time" refers to the time required to move between different activity locations.

[1524] "Method of transportation" refers to the means used to move between activity locations.

[1525] "Data" refers to the information necessary to generate a schedule.

[1526] A "server" refers to a computer system that performs data analysis and generates schedules.

[1527] "Emotional data" refers to information about a user's emotional state.

[1528] "Means for collecting and analyzing emotional data" refers to functions that detect a user's emotional state and analyze that information.

[1529] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on data.

[1530] A "visual interface" refers to an interface that visually displays the generated schedule to the user.

[1531] "Color coding" refers to a display format that uses different colors to show different types of information.

[1532] An "icon" refers to a small diagram used to visually represent a specific activity or piece of information.

[1533] A "user terminal" refers to a device that a user directly operates.

[1534] "Means of visual display" refers to technologies and functions that make the generated schedule easy for users to understand.

[1535] A "schedule" refers to the time arrangement of planned activities over a specific period of time.

[1536] This invention provides a schedule creation assistance system for children, which generates an optimal schedule that takes into account the user's emotional state. This system consists of the following main components:

[1537] 1. User terminal

[1538] The user terminal refers to a mobile device such as a smartphone or tablet. The user uses this terminal to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, tutoring schedules, activity locations, travel time, and travel methods. Simultaneously, the user terminal collects user emotional data using its camera and microphone.

[1539] 2. Server

[1540] The server receives and analyzes data transmitted from the user's terminal. Based on the user's input data and emotional data, it automatically generates a schedule using a generative AI model. This creates a flexible schedule that reflects the user's emotional state.

[1541] 3. Generative AI Models

[1542] The generative AI model has an algorithm that analyzes acquired data (such as school timetables, club activity schedules, and emotional data) to generate an optimal schedule. For example, if it determines that the user is feeling stressed, it will make adjustments such as adding relaxation time.

[1543] 4. Visual Interface

[1544] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to make it easy to distinguish between school classes, club activities, extracurricular activities, tutoring, relaxation time, and other activities at a glance.

[1545] Program Processing Description

[1546] Hardware:

[1547] User devices (smartphones, tablets)

[1548] server

[1549] software:

[1550] OpenCV: A library for analyzing a user's facial expressions.

[1551] Keras: A library for running emotion recognition algorithms.

[1552] Requests: An HTTP request library used to retrieve food suggestions.

[1553] Data processing and data calculations:

[1554] 1. Collection and analysis of emotional data:

[1555] The system uses the user's device's camera and microphone to perform facial recognition and voice tone analysis. This allows for the collection of user emotion data in real time.

[1556] 2. Data transmission and schedule generation:

[1557] The collected emotional data and user-input data are sent to the server. The server analyzes the received data and uses a generative AI model to automatically generate a schedule tailored to the user's emotions.

[1558] 3. Results display:

[1559] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly understand the type of activity.

[1560] Specific example

[1561] For example, suppose a user enters the following information:

[1562] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1563] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1564] Homework schedule: Wednesday - Submit English homework.

[1565] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1566] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1567] Activity locations: school, home, cram school

[1568] Travel time: 15 minutes by bicycle

[1569] Method of transportation: Bicycle

[1570] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following:

[1571] Monday:

[1572] 08:30〜09:20 Mathematics (school)

[1573] 09:30-10:20 English (School)

[1574] 10:30-11:20 Science (school)

[1575] 14:00-16:00 Relaxation time (adjustment by emotional engine)

[1576] 17:00-18:30 Cram school (cram school)

[1577] This schedule is displayed in a visually easy-to-understand format, helping users understand it and providing appropriate stress management.

[1578] Example of a prompt

[1579] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[1580] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1581] Step 1:

[1582] Users use a user device such as a smartphone or tablet to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[1583] Input: Data on school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[1584] Output: The information entered by the user is saved on the device.

[1585] Step 2:

[1586] The user terminal uses a camera and microphone to collect the user's facial expressions and voice tone in real time and analyze the emotional data. This analysis uses the OpenCV and Keras libraries.

[1587] Input: User's facial expressions and voice

[1588] Output: User sentiment data

[1589] Step 3:

[1590] The user terminal sends the acquired emotion data and input data to the server.

[1591] Input: User sentiment data and input data (school timetable, club activity schedule, etc.)

[1592] Output: Sentiment data and input data transferred to the server

[1593] Step 4:

[1594] The server analyzes the received data. It inputs emotion data and input data into a generative AI model for analysis. The generative AI model is used for data analysis.

[1595] Input: Received sentiment data and input data

[1596] Output: Analyzed data and results

[1597] Step 5:

[1598] The server uses a generative AI model to automatically generate a schedule that takes the user's emotional state into account. For example, if the user is feeling stressed, it will add relaxation time. Data processing and calculations in the generation process are based on the algorithms of the generative AI model.

[1599] Input: Analyzed data and sentiment data

[1600] Output: A schedule tailored to the user's emotional state.

[1601] Step 6:

[1602] The generated schedule is sent from the server to the user's terminal.

[1603] Input: Schedule

[1604] Output: Schedule sent to the user terminal

[1605] Step 7:

[1606] The user terminal visually displays the received schedule. It uses color coding and icons to present the schedule in a user-friendly format.

[1607] Input: Received schedule

[1608] Output: Visually displayed schedule

[1609] Example of a prompt

[1610] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[1611] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1612] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1613] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1614] [Fourth Embodiment]

[1615] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1616] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1617] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1618] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1619] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1620] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1621] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1622] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1623] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1624] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1625] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1626] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1627] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1628] This invention relates to a system that assists in creating schedules for children. Specifically, it uses a generating AI model to automatically create an optimal schedule based on various schedule information entered by the user.

[1629] System Overview

[1630] This system consists of the following main components:

[1631] 1. User terminal

[1632] 2. Server

[1633] 3. Generative AI Models

[1634] 4. Schedule display interface

[1635] Program processing details

[1636] User input

[1637] The terminal provides the user with an interface for entering the information necessary for scheduling.

[1638] School timetable (Example: Monday 08:30-09:20 Math, 09:30-10:20 English)

[1639] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[1640] Homework schedule (Example: Wednesday - English homework due)

[1641] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[1642] Tutoring schedule (Example: Mondays and Thursdays, 17:00-18:30)

[1643] Location of activity (e.g., school, home, cram school)

[1644] Travel time (e.g., 15 minutes by bicycle)

[1645] Method of transportation (e.g., bicycle, walking)

[1646] Data transmission and analysis

[1647] The terminal sends the data entered by the user to the server.

[1648] The server analyzes the received data, organizes it by time, and converts it into the appropriate format.

[1649] Schedule generation

[1650] The server uses a generative AI model to generate an optimal schedule, taking into account the time and location of each event, travel time between events, and user priorities.

[1651] For example, Monday's schedule is generated as follows:

[1652] 08:30〜09:20 Mathematics (school)

[1653] 09:30-10:20 English (School)

[1654] 10:30-11:20 Science (school)

[1655] 14:00-16:00 Free time (for homework)

[1656] 17:00-18:30 Cram school (cram school)

[1657] Results submitted and displayed

[1658] The server sends the generated schedule to the user's terminal.

[1659] The device displays received schedules in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly see what appointments are scheduled for which time slots.

[1660] Specific example

[1661] For example, suppose a user enters the following information.

[1662] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1663] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1664] Homework schedule: Wednesday - Submit English homework.

[1665] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1666] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1667] Location of activities: school, home, cram school

[1668] Travel time: 15 minutes by bicycle

[1669] Method of transportation: Bicycle

[1670] This information is sent to the server, and the generating AI model generates a schedule like the following.

[1671] Monday:

[1672] 08:30〜09:20 Mathematics (school)

[1673] 09:30-10:20 English (School)

[1674] 10:30-11:20 Science (school)

[1675] 14:00-16:00 Free time (for homework)

[1676] 17:00-18:30 Cram school (cram school)

[1677] Tuesday:

[1678] 08:30〜09:20 Society (school)

[1679] 10:30-11:20 Physical education (school)

[1680] 16:00-18:00 Club activities (soccer)

[1681] This schedule is sent to the device and displayed to the user visually using color coding and icons. For example, green might represent school classes, blue might represent club activities, and red might represent tutoring time.

[1682] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and teachers.

[1683] The following describes the processing flow.

[1684] Step 1:

[1685] The terminal displays an interface for the user to enter the information needed for scheduling. The interface includes input fields for school timetable, club activity schedule, homework schedule, extracurricular activity schedule, tutoring schedule, activity location, travel time, and travel method.

[1686] Step 2:

[1687] The user enters the necessary information using the terminal interface. For example, they might enter their Monday school schedule, club activity schedule, homework deadlines, weekend outings, tutoring schedule, activity locations, travel time between locations, and methods of transportation.

[1688] Step 3:

[1689] The terminal verifies the entered information and checks for any missing required fields. Once it confirms that all required information has been entered, it proceeds to the next step.

[1690] Step 4:

[1691] The terminal converts the input data into the appropriate format and sends it to the server. This includes organizing the input data, converting the format, and encrypting it if necessary.

[1692] Step 5:

[1693] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, the travel time between events, and the method of travel.

[1694] Step 6:

[1695] The server uses a generation AI model to automatically generate an optimal schedule based on the received data. It adjusts the timing of events to avoid overlaps and takes travel time into consideration when scheduling. It also creates a schedule that takes the user's priorities (e.g., important classes or relaxation time) into account.

[1696] Step 7:

[1697] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1698] Step 8:

[1699] The terminal analyzes the schedule data received from the server and displays it in a format that is easy for the user to understand. This includes methods such as using color coding and icons to make it visually easy to understand.

[1700] Step 9:

[1701] The user checks the schedule displayed on the device. They can make changes or add information as needed.

[1702] Step 10:

[1703] The terminal sends the user's modified schedule back to the server and repeats the process of generating the updated schedule. This process can be repeated until the user is satisfied.

[1704] This process makes it easier for children to create and understand schedules, and improves their self-management skills.

[1705] (Example 1)

[1706] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1707] Children often have difficulty managing and understanding their schedules, which can disrupt their daily lives. Therefore, there is a need for a system that efficiently creates schedules and provides them in a visually easy-to-understand format. Furthermore, there is a need for methods to reduce the time and effort that parents and educators spend on schedule management.

[1708] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1709] In this invention, the server includes means for receiving data from a user regarding the school's timetable, club activity schedule, homework schedule, extracurricular activity schedule, supplementary school schedule, activity location, travel time, and travel method; means for transmitting the data to the server; means for the server to analyze the data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible for children to easily understand their schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1710] A "user" is the entity that uses the system to create a child's schedule, and typically refers to a parent or educator.

[1711] "Educational institutions" refer to facilities that provide education, such as elementary schools, junior high schools, high schools, vocational schools, and universities.

[1712] "Club activities" refers to club activities and circle activities that children, students, and pupils attending educational institutions participate in after school or on weekends.

[1713] "Homework" refers to learning assignments or tasks that are given by educational institutions and must be completed at home.

[1714] "Extracurricular activities" refer to learning and experiential activities conducted outside of educational institutions or the home, and include things like field trips and excursions.

[1715] A "supplementary learning facility" refers to a facility where children and students can receive additional learning support outside of regular school classes, and includes cram schools and preparatory schools.

[1716] "Activity location" refers to the specific place where each event takes place, such as educational institutions, homes, or supplementary learning facilities.

[1717] "Travel time" refers to the time required to move between activity locations.

[1718] "Method of transportation" refers to the means of moving between different activity locations, such as by bicycle, on foot, or by public transport.

[1719] "Means of receiving data" refers to interfaces, sensors, and other devices used to acquire schedule information entered by users.

[1720] A "server" refers to a computing device used for data analysis, schedule generation, and the storage and transmission of those results.

[1721] "Analysis means" refers to algorithms and programs used by a server to organize the data it receives and convert it into meaningful information.

[1722] A "generative AI model" refers to an artificial intelligence model that generates the optimal schedule based on the data it receives.

[1723] "Automatic generation method" refers to a function that automatically creates schedules using a generation AI model.

[1724] "Means of visual display" refers to displays and interfaces that use color coding and images to show the generated schedule in a format that is easy for the user to understand.

[1725] This invention relates to a system that assists in creating schedules for children. Specifically, it is a system that automatically creates an optimal schedule using a generation AI model based on various schedule information entered by the user.

[1726] System Overview

[1727] This system consists of the following main components:

[1728] 1. User terminal

[1729] 2. Server

[1730] 3. Generative AI Models

[1731] 4. Schedule display interface

[1732] System operation procedures

[1733] User input

[1734] The terminal provides the user with an interface for entering schedule information. Through this interface, the user can enter the following items:

[1735] Educational institution timetable (Example: Monday 08:30-09:20 Mathematics)

[1736] Club activity schedule (Example: Tuesdays and Fridays, 4:00 PM - 6:00 PM, Soccer Club)

[1737] Homework schedule (Example: Wednesday - English homework due)

[1738] Planned outing activities (e.g., Saturday 10:00-12:00 Zoo visit)

[1739] Schedule for supplementary lessons (Example: Mondays and Thursdays, 17:00-18:30, tutoring)

[1740] Location of activity (e.g., school, home, cram school)

[1741] Travel time (e.g., 15 minutes by bicycle)

[1742] Method of transportation (e.g., bicycle, walking)

[1743] Data transmission and analysis

[1744] The terminal sends the data entered by the user to the server. The data is transmitted using a secure communication protocol (e.g., HTTPS).

[1745] The server analyzes the received data, organizes it by time, and converts it into an appropriate format. Specifically, it analyzes information such as the start time, end time, location, and travel time of each event, and organizes it by time. It also checks for inconsistencies and duplicates.

[1746] Schedule generation

[1747] The server uses a generative AI model based on the analyzed data to generate the optimal schedule. The generative AI model is input with prompts for schedule generation. For example,

[1748] Information entered by the user:

[1749] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1750] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1751] Homework schedule: Wednesday - Submit English homework.

[1752] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1753] Supplementary lesson schedule: Mondays and Thursdays, 17:00-18:30

[1754] Locations of activity: Educational institutions, homes, cram schools

[1755] Travel time: 15 minutes by bicycle

[1756] Method of transportation: Bicycle

[1757] Please use this information to generate the optimal schedule.

[1758] By entering this prompt, the generating AI model will create an optimal schedule considering the time and location of each event, travel time, and user priorities.

[1759] Results submitted and displayed

[1760] The server sends the generated schedule to the user's terminal. The data is then sent again using a secure communication protocol (e.g., HTTPS).

[1761] The device displays received schedules in a visually easy-to-understand format. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities.

[1762] In this way, children can easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1763] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1764] Step 1: User Input

[1765] The terminal provides the user with an interface for entering schedule information. The user enters data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, supplementary school schedules, activity locations, travel time, and travel methods. The entered data is converted into a structured data format such as JSON.

[1766] Step 2: Data transmission

[1767] The terminal sends the JSON data entered by the user to the server using a secure communication protocol (e.g., HTTPS). The input data includes the event's start time, end time, location, travel time, and method of travel. The terminal confirms the successful transmission and displays a confirmation message.

[1768] Step 3: Data Analysis

[1769] The server parses the received JSON data. During the data analysis process, it extracts the start time, end time, location, travel time, and travel method for each event, and organizes them into a specific format (e.g., a list or table). It also checks for inconsistencies and duplicates, and generates error messages as needed. The input is JSON data, and the output is the parsed data in list or table format.

[1770] Step 4: Schedule Generation

[1771] The server uses a generative AI model based on the analyzed data to generate prompts and input them into the AI ​​model. A specific example of a prompt is, "Information entered by the user: Educational institution timetable... Based on this information, please generate the optimal schedule." The generative AI model receives the prompt and generates the optimal schedule, taking into account the time and location of each event, travel time between events, and the user's priorities. The input is the prompt and the analyzed data, and the output is the generated schedule.

[1772] Step 5: Submit Results

[1773] The server sends the generated schedule to the user's terminal. The data is again sent using a secure communication protocol (e.g., HTTPS). The input is the generated schedule data, and the output is the schedule sent to the user's terminal.

[1774] Step 6: Display Results

[1775] The terminal displays received schedules in a visually easy-to-understand format for the user. Specifically, each item in the schedule is color-coded; for example, blue indicates classes at educational institutions, green indicates club activities, and red indicates time at supplementary learning facilities. In addition, each event is accompanied by an image to make it intuitively understandable. The input is schedule data sent from the server, and the output is a visually displayed schedule.

[1776] This allows children to easily understand schedules and improve their self-management skills. It also reduces the burden on parents and educators.

[1777] (Application Example 1)

[1778] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1779] For children, schedule management is extremely important, but self-management is often difficult. Furthermore, insufficient schedule management can disrupt daily life. Conventional methods managed timetables and activity schedules individually, resulting in inefficient overall schedule management. Also, shopping and daily outings often lacked planning and caused stress because children acted without considering the location, opening hours, and crowd levels of each store. There is a need to solve these problems and enable children and their guardians to live their daily lives with peace of mind.

[1780] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1781] In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods; means for transmitting the data to the server and automatically generating a schedule suitable for the child using a generation AI model; means for transmitting the schedule to the user terminal and generating a shopping route and schedule that takes into account the location, business hours, and congestion of each store; and means for visually displaying the generated schedule. This enables children to manage their schedules in a centralized manner, allowing them to act more efficiently and also helping to reduce stress.

[1782] "Children" refers to children with developmental disorders such as Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD).

[1783] A "schedule creation support system" is a system that generates and visually displays an optimal schedule based on the user's input.

[1784] "User terminal" refers to electronic devices used by users, such as smartphones, tablets, and personal computers.

[1785] "School timetable" refers to the timetable of classes and activities at the school the user attends.

[1786] "Club activity schedule" refers to the date, time, and content of club activities that the user will participate in.

[1787] "Homework schedule" refers to the deadlines and content of homework that the user is required to complete.

[1788] "Extracurricular activity schedule" refers to the schedule of activities and events that users will participate in outside of school.

[1789] "Cram school schedule" refers to the dates, times, and content of classes at the cram school the user attends.

[1790] "Activity location" refers to the places where users spend their time, such as school, home, or cram school.

[1791] "Travel time" refers to the time required for a user to move from one location to another.

[1792] "Method of transportation" refers to the means by which a user travels, such as walking, cycling, or driving.

[1793] A "server" refers to a computing system that analyzes data received from user terminals and generates schedules using a generated AI model.

[1794] A "generative AI model" refers to an artificial intelligence model that generates an optimal schedule based on user input data.

[1795] A "shopping route" refers to an optimized shopping path that takes into account the location, opening hours, and congestion levels of each store.

[1796] "Visual display methods" refer to ways of displaying generated schedules in a way that makes them easy for users to understand, using color coding or icons.

[1797] This invention is a system developed to allow children and their guardians to easily manage schedules and activity plans, thereby reducing stress in daily life. The system utilizes a user, a user terminal, a server, and a generative AI model.

[1798] Hardware and software configuration

[1799] Hardware used

[1800] User devices: Smartphones, tablets, PCs, or smart glasses

[1801] Server: A high-performance computer used for data analysis and schedule generation.

[1802] Software used

[1803] User Interface Application: Provides an interface for users to enter appointments.

[1804] Generative AI Model: Generates the optimal schedule based on data entered by the user.

[1805] Specific example: OpenAI GPT-4

[1806] System operation

[1807] Users input schedule-related information through their user terminals. This includes things like school timetables, club activity schedules, homework deadlines, extracurricular activity plans, tutoring class times, and transportation methods and travel times. This information is entered using a user interface application.

[1808] The entered data is sent from the user's terminal to the server. The server analyzes the received data and organizes it by time. Here, a generative AI model is used to automatically generate an optimal schedule based on the user's data. In this process, the generative AI model considers the time and location of each event, travel time between events, and the user's priorities.

[1809] The generated schedule is sent back to the user's device and displayed visually. This display uses color coding and icons to make it easy for the user to understand intuitively. For example, school events are shown in green, club activities in blue, and tutoring sessions in red.

[1810] Furthermore, this system also includes features that enable users to efficiently carry out their daily shopping at physical stores. When a user enters their shopping list and the stores they plan to visit, the server generates the optimal shopping route based on the specified conditions. This route is optimized considering the location, opening hours, and congestion levels of each store.

[1811] Specific example

[1812] For example, if a user enters the following information,

[1813] Shopping list: Bread, milk, eggs

[1814] Priority time slot: 13:00

[1815] Current location: Home

[1816] Means of transportation: Bicycle

[1817] By entering the following prompts into the generating AI model, the optimal schedule will be generated.

[1818] mark down

[1819] Create an optimal shopping schedule based on user input data. Consider the location, opening hours, and crowd levels of each store.

[1820] Shopping list: Bread, milk, eggs

[1821] Priority time slot: 13:00

[1822] Current location: Home

[1823] Means of transportation: Bicycle

[1824] As an example of a generated schedule,

[1825] 13:20-13:30 Purchased bread (Store A)

[1826] 13:35-13:45 Purchased milk (Store B)

[1827] 13:50-14:00 Purchased eggs (Store C)

[1828] In this way, centralized schedule management becomes possible, which is extremely beneficial for children and their guardians.

[1829] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1830] Step 1:

[1831] Users enter schedule-related information using their user terminals. This information includes school timetables, club activity schedules, homework deadlines, extracurricular activity schedules, tutoring class times, transportation methods, and travel time. The entered information is collected through a user interface application.

[1832] Input: School timetable, club activity schedule, homework schedule, extracurricular activity schedule, cram school schedule, activity location, travel time, method of travel

[1833] Output: Collection of information entered into the user terminal.

[1834] Step 2:

[1835] The terminal sends the data entered by the user to the server. The entered data is securely transferred to the server via the internet. The server receives the data and prepares for analysis.

[1836] Input: Information collected on the user's terminal

[1837] Output: Information sent to the server

[1838] Step 3:

[1839] The server analyzes the received data. Specifically, it organizes the time and location of each event, the travel time between events, etc., and converts it into an appropriate format. Data analysis includes preprocessing such as data validation and format conversion. This sorts the data to be analyzed.

[1840] Input: Information sent to the server

[1841] Output: Analyzed data

[1842] Step 4:

[1843] The server automatically generates the optimal schedule using a generative AI model, taking into account the analyzed data and user priorities. The generative AI model generates the optimal schedule based on the prompt messages and adjusts the time and location of events.

[1844] Input: Analyzed data, prompt message

[1845] Output: Generated schedule

[1846] Step 5:

[1847] The server sends the generated schedule to the user's terminal. The data sent includes details such as the start time, location, and travel time for each event. The data is sent in a format that is easy for the user to understand.

[1848] Input: Generated schedule

[1849] Output: Schedule sent to the user terminal

[1850] Step 6:

[1851] The device visually displays the received schedule. Specifically, it uses color coding and icons to allow users to understand the content and time of events at a glance. For example, school events might be color-coded green, club activities blue, and tutoring sessions red.

[1852] Input: Schedule sent to the user terminal

[1853] Output: Visual schedule display using color coding and icons.

[1854] Step 7:

[1855] (Steps specific to this application) Furthermore, the user enters information about their shopping list and planned stores to visit. This data is also collected through the user interface application.

[1856] Input: Shopping list, data of stores to visit

[1857] Output: Shopping information collected on the user's terminal

[1858] Step 8:

[1859] The terminal sends the collected shopping information to the server. On the server side, analysis is performed based on the shopping list and store information.

[1860] Input: Shopping information collected on the user's terminal

[1861] Output: Shopping information sent to the server

[1862] Step 9:

[1863] The server considers the location, opening hours, and congestion levels of each store to generate the optimal shopping route and schedule. This route is optimized using a generative AI model.

[1864] Input: Shopping information, prompt text

[1865] Output: Generated shopping route and schedule

[1866] Step 10:

[1867] The server sends the generated shopping schedule to the user's terminal, which displays it visually. The user can understand the order and timing of visits to each store at a glance.

[1868] Input: Generated shopping route and schedule

[1869] Output: Shopping schedule visually displayed on the user's terminal.

[1870] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1871] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules.

[1872] System Overview

[1873] This system consists of the following main components:

[1874] 1. User terminal

[1875] 2. Server

[1876] 3. Generative AI Models

[1877] 4. Emotional Engine

[1878] 5. Schedule display interface

[1879] Program processing details

[1880] User input

[1881] The terminal provides the user with an interface for entering information necessary for scheduling. This interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring sessions, activity locations, travel time, and travel methods.

[1882] Collection of emotional data

[1883] The device recognizes the user's emotional state in real time through an emotion engine and sends that data to the server. The emotion engine analyzes the user's emotional state based on the user's facial expressions, voice tone, input data, and other factors.

[1884] Data transmission and analysis

[1885] The terminal sends the entered information data and emotional data to the server.

[1886] The server analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[1887] Schedule generation

[1888] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the user's schedule based on emotional data. For example, if the user is in a stressful emotional state, the schedule will be scheduled to include more time for relaxation.

[1889] For example, Monday's schedule is generated as follows:

[1890] 08:30〜09:20 Mathematics (school)

[1891] 09:30-10:20 English (School)

[1892] 10:30-11:20 Science (school)

[1893] 14:00-16:00 Relaxation time (adjustment by the emotional engine)

[1894] 17:00-18:30 Cram school (cram school)

[1895] Results submitted and displayed

[1896] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1897] The device displays received schedules in a visually easy-to-understand format for the user. This includes using color coding and icons for visual clarity. For example, green might represent school classes, blue represents club activities, red represents tutoring time, and yellow represents relaxation time.

[1898] Specific example

[1899] For example, suppose a user enters the following information.

[1900] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1901] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1902] Homework schedule: Wednesday - Submit English homework.

[1903] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1904] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1905] Location of activities: school, home, cram school

[1906] Travel time: 15 minutes by bicycle

[1907] Method of transportation: Bicycle

[1908] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following.

[1909] Monday:

[1910] 08:30〜09:20 Mathematics (school)

[1911] 09:30-10:20 English (School)

[1912] 10:30-11:20 Science (school)

[1913] 14:00-16:00 Relaxation time

[1914] 17:00-18:30 Cram school (cram school)

[1915] Tuesday:

[1916] 08:30〜09:20 Society (school)

[1917] 10:30-11:20 Physical education (school)

[1918] 16:00-18:00 Club activities (soccer)

[1919] This schedule is sent to the device and displayed to the user visually using color coding and icons. In this way, children can easily understand the schedule and improve their self-management skills. Furthermore, by providing a schedule that is appropriate to the user's emotional state, it can reduce stress and support a better life.

[1920] The following describes the processing flow.

[1921] Step 1:

[1922] The terminal provides the user with an interface for entering information necessary for scheduling. The interface includes input fields for school timetables, club activities, homework, extracurricular activities, tutoring, activity locations, travel time, and travel methods.

[1923] Step 2:

[1924] Users use the terminal interface to input various schedule information. Specifically, they input their school timetable for Monday, club activity schedules, homework deadlines, extracurricular activity schedules, cram school schedules, the location of each activity, travel time, and method of transportation.

[1925] Step 3:

[1926] The terminal verifies the entered information and checks for any missing details. After checking that all required information has been entered, it proceeds to the next step.

[1927] Step 4:

[1928] The device activates the emotion engine. The emotion engine analyzes the user's facial expressions, voice tone, input data, etc., in real time to recognize the user's emotional state.

[1929] Step 5:

[1930] The emotion engine analyzes the recognized user's emotional state (e.g., fatigue, stress, relaxation) and generates data. This emotional data is used in the next step.

[1931] Step 6:

[1932] The terminal sends the entered schedule data and the emotion data obtained from the emotion engine to the server.

[1933] Step 7:

[1934] The server receives data sent from the terminal. It analyzes the received data and extracts the time and location of each event, travel time between events, method of travel, and the user's emotional state.

[1935] Step 8:

[1936] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model adjusts the schedule based on the user's emotional data. For example, if the user is fatigued, the schedule will be designed to include more rest periods.

[1937] Step 9:

[1938] The server converts the generated schedule into the appropriate format and sends it to the terminal.

[1939] Step 10:

[1940] The terminal analyzes the schedule data received from the server and displays the schedule in a user-friendly format. Specifically, it uses color coding and icons to visually represent each item in the schedule in an easy-to-understand way.

[1941] Step 11:

[1942] The user reviews the displayed schedule. They can then modify or add information to the schedule as needed.

[1943] Step 12:

[1944] The terminal resends user changes and additional schedule data to the server and requests schedule regeneration as needed. This process is repeated until the user is satisfied with the optimal schedule.

[1945] This process makes it easier for children to create and understand schedules, improving their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[1946] (Example 2)

[1947] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1948] For children, managing schedules and self-management is extremely difficult. Traditional scheduling systems fail to consider the user's emotional state, potentially increasing stress. Therefore, there is a need for a system that automatically generates schedules that children can comfortably manage and presents them in a visually easy-to-understand format.

[1949] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods; means for an emotion engine to analyze the user's emotional state based on the received data, to recognize the user's emotional state in real time, and to collect data thereof; means for transmitting the data and emotional state data to the server; means for the server to analyze the data and emotional state data and automatically generate a schedule suitable for the child using a generation AI model; means for transmitting the generated schedule to the user terminal; and means for visually displaying the generated schedule. This makes it possible to automatically generate and provide a schedule suitable for the user's emotional state.

[1950] "User" refers to a child and their guardian who use the system to input and manage their schedule.

[1951] A "school timetable" refers to a schedule of classes and activities at an educational institution.

[1952] "Club activity schedule" refers to the schedule of club activities and extracurricular activities held at schools and in the local community.

[1953] "Homework schedule" refers to the submission period and content of assignments and homework assigned by schools or educational institutions.

[1954] "Outdoor activity schedule" refers to the schedule of field trips, excursions, practical training, and other activities conducted as part of the educational activities of schools and educational institutions.

[1955] "Educational institution" is a general term that encompasses facilities that provide education, such as schools, cram schools, and classrooms.

[1956] "Activity location" refers to the place where the designated classes, activities, or events take place in each schedule.

[1957] "Travel time" refers to the time required to move from one place to the next.

[1958] "Method of transportation" refers to the means by which a user moves between activity locations, including, for example, cycling, taking a bus, or walking.

[1959] An "emotion engine" is a software component that analyzes a user's emotions and recognizes their emotional state in real time.

[1960] A "server" refers to a computer system used to process and analyze data sent by users.

[1961] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on received data and emotional state data.

[1962] A "user terminal" refers to a device used by a user to input or view schedules.

[1963] "Means of visual display" refers to a function that displays the generated schedule on the device using color coding, icons, etc., so that the user can intuitively understand it.

[1964] This invention relates to a system that generates an optimal schedule according to the user's emotional state by combining an emotion engine with a system that assists in creating children's schedules. This system mainly consists of a user terminal, a server, a generation AI model, an emotion engine, and a schedule display interface.

[1965] Collection of user input data

[1966] The user inputs data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods through the terminal interface. Specifically, the user inputs the following:

[1967] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1968] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1969] Homework schedule: Wednesday - Submit English homework.

[1970] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1971] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1972] Location of activities: school, home, cram school

[1973] Travel time: 15 minutes by bicycle

[1974] Method of transportation: Bicycle

[1975] Collection of emotional data

[1976] The device uses an emotion engine to recognize the user's emotional state in real time and collect that data. The emotion engine uses a camera to capture the user's facial expressions and a microphone to analyze the tone of their voice. For example, if the user makes a flustered facial expression or their voice tone rises while typing, the emotion engine will detect "stress."

[1977] Data transmission and analysis

[1978] The device converts the input data and sentiment data into JSON format and sends it to the server via a secure API.

[1979] Schedule generation

[1980] The server uses a generative AI model to automatically generate an optimal schedule based on the received data. The generative AI model takes into account the user's emotional state data and adjusts the schedule, such as adding relaxation time to reduce stress. For example, if the user is feeling "stressed," the AI ​​model will add "14:00-16:00 Relaxation Time."

[1981] Sending and displaying results

[1982] The server converts the generated schedule into an appropriate format and sends it to the terminal. The terminal displays the schedule in a visually easy-to-understand format. For example, it might use color coding such as green for "math," yellow for "relaxation time," and red for "cram school."

[1983] Specific example

[1984] Consider the case where the user enters the following information.

[1985] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[1986] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[1987] Homework schedule: Wednesday - Submit English homework.

[1988] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[1989] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[1990] Location of activities: school, home, cram school

[1991] Travel time: 15 minutes by bicycle

[1992] Method of transportation: Bicycle

[1993] If the emotion engine detects that the user is feeling "stressed," the AI ​​model generates a schedule like this:

[1994] Monday:

[1995] 08:30〜09:20 Mathematics (school)

[1996] 09:30-10:20 English (School)

[1997] 10:30-11:20 Science (school)

[1998] 14:00-16:00 Relaxation time

[1999] 17:00-18:30 Cram school (cram school)

[2000] This schedule is sent to the device and displayed to the user visually using color coding and icons.

[2001] Example of a prompt

[2002] Please enter information such as "Monday 08:30-09:20 Math", "Monday 09:30-10:20 English", and "Tuesday 16:00-18:00 Soccer Club".

[2003] This allows children to easily understand schedules and improve their self-management skills. Furthermore, by providing schedules tailored to the user's emotional state, it can reduce stress and support a better life.

[2004] The flow of the specific processing in Example 2 will be explained using Figure 13.

[2005] Step 1: User Input

[2006] The user enters the necessary schedule data (school timetable, club activity schedule, homework schedule, extracurricular activity schedule, educational institution schedule, activity location, travel time, and travel method) into the terminal interface.

[2007] Example input: Monday 08:30-09:20 Math, 09:30-10:20 English

[2008] The entered data is temporarily stored within the device.

[2009] Step 2: Collecting emotional data

[2010] The device activates an emotion engine in parallel with collecting input data, analyzing the user's emotional state in real time. This is done using a camera and microphone.

[2011] The emotion engine calculates the user's emotional state from their facial expressions and tone of voice.

[2012] Input example: The user's facial expression is anxious, and their voice tone is high.

[2013] Output example: Emotional data identified as "stress"

[2014] Step 3: Data transmission

[2015] The device converts the collected schedule data and sentiment data into JSON format and sends it to the server.

[2016] Input example: Schedule data and sentiment data entered by the user.

[2017] The data is transmitted securely via HTTP requests.

[2018] Output example: JSON data received by the server

[2019] Step 4: Data Analysis

[2020] The server parses the received JSON data and extracts the time, location, travel time, travel method, and emotional state for each event. The analysis is performed using a Python script.

[2021] Input example: JSON data

[2022] Example output: Details of each event (Example: Monday 08:30-09:20 Math, Emotional state "Stress")

[2023] Step 5: Generate Schedule

[2024] The server uses a generative AI model to generate an optimal schedule based on the analyzed data. The generative AI model uses machine learning algorithms to adjust the schedule while taking sentiment data into consideration.

[2025] Input example: Detailed data and emotional state for each event

[2026] Data processing: For example, when adding relaxation time based on emotional data.

[2027] Output example: Optimized schedule (Example: Relaxation time added from 14:00 to 16:00)

[2028] Step 6: Submit the results

[2029] The server converts the generated schedule into the appropriate format (JSON format) and sends it to the terminal.

[2030] Input example: Optimized schedule data

[2031] Data processing: Convert to a visually easy-to-understand format (e.g., color coding and adding icons).

[2032] Output example: Generation schedule received by the terminal

[2033] Step 7: Displaying the results

[2034] The device visually displays received schedules to the user. This uses color coding and icons to allow for quick understanding of the content at a glance.

[2035] Input example: Generation schedule received from the server

[2036] Output example: Visually displayed schedule (e.g., green for school activities, yellow for relaxation time, red for tutoring / cram school)

[2037] Through the steps outlined above, users can automatically generate schedules tailored to their emotional state, enabling comfortable schedule management.

[2038] (Application Example 2)

[2039] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[2040] Conventional scheduling systems generate schedules without considering the emotional state of a particular user, potentially increasing the user's psychological burden. Furthermore, creating optimal schedules tailored to a child's characteristics is difficult, and there are limitations to displaying them in a user-friendly format. Therefore, this invention provides a system that creates schedules while taking the user's emotional state into account, reducing the psychological burden on children, and providing schedules in a format that is easy for them to understand.

[2041] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[2042] In this invention, the server includes means for collecting and analyzing emotional data from the user, means for receiving data from the user regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods, and means for automatically generating a schedule using a generation AI model based on the aforementioned data and emotional data. This makes it possible to generate a schedule that reflects the user's emotional state and display it in a visually easy-to-understand format.

[2043] The term "child" refers to a child who exhibits development that deviates from the normal developmental process in a particular area.

[2044] A "schedule creation support system" refers to a system that helps users organize their activities systematically and generates and displays those schedules.

[2045] "User" refers to an individual who uses this system to create a schedule.

[2046] "School timetable" refers to the timely arrangement of classes at a school.

[2047] "Club activity schedule" refers to the schedule of club activities, sports, and other activities that take place outside of school hours.

[2048] "Homework schedule" refers to a schedule of learning activities that should be done at home.

[2049] "Scheduled extracurricular activities" refers to planned activities that take place outside of school.

[2050] "Cram school schedule" refers to a schedule of learning at an educational institution outside of school.

[2051] "Activity location" refers to the place where a user performs a specific activity.

[2052] "Travel time" refers to the time required to move between different activity locations.

[2053] "Method of transportation" refers to the means used to move between activity locations.

[2054] "Data" refers to the information necessary to generate a schedule.

[2055] A "server" refers to a computer system that performs data analysis and generates schedules.

[2056] "Emotional data" refers to information about a user's emotional state.

[2057] "Means for collecting and analyzing emotional data" refers to functions that detect a user's emotional state and analyze that information.

[2058] A "generative AI model" refers to an artificial intelligence model that automatically generates schedules based on data.

[2059] A "visual interface" refers to an interface that visually displays the generated schedule to the user.

[2060] "Color coding" refers to a display format that uses different colors to show different types of information.

[2061] An "icon" refers to a small diagram used to visually represent a specific activity or piece of information.

[2062] A "user terminal" refers to a device that a user directly operates.

[2063] "Means of visual display" refers to technologies and functions that make the generated schedule easy for users to understand.

[2064] A "schedule" refers to the time arrangement of planned activities over a specific period of time.

[2065] This invention provides a schedule creation assistance system for children, which generates an optimal schedule that takes into account the user's emotional state. This system consists of the following main components:

[2066] 1. User terminal

[2067] The user terminal refers to a mobile device such as a smartphone or tablet. The user uses this terminal to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, tutoring schedules, activity locations, travel time, and travel methods. Simultaneously, the user terminal collects user emotional data using its camera and microphone.

[2068] 2. Server

[2069] The server receives and analyzes data transmitted from the user's terminal. Based on the user's input data and emotional data, it automatically generates a schedule using a generative AI model. This creates a flexible schedule that reflects the user's emotional state.

[2070] 3. Generative AI Models

[2071] The generative AI model has an algorithm that analyzes acquired data (such as school timetables, club activity schedules, and emotional data) to generate an optimal schedule. For example, if it determines that the user is feeling stressed, it will make adjustments such as adding relaxation time.

[2072] 4. Visual Interface

[2073] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to make it easy to distinguish between school classes, club activities, extracurricular activities, tutoring, relaxation time, and other activities at a glance.

[2074] Program Processing Description

[2075] Hardware:

[2076] User devices (smartphones, tablets)

[2077] server

[2078] software:

[2079] OpenCV: A library for analyzing a user's facial expressions.

[2080] Keras: A library for running emotion recognition algorithms.

[2081] Requests: An HTTP request library used to retrieve food suggestions.

[2082] Data processing and data calculations:

[2083] 1. Collection and analysis of emotional data:

[2084] The system uses the user's device's camera and microphone to perform facial recognition and voice tone analysis. This allows for the collection of user emotion data in real time.

[2085] 2. Data transmission and schedule generation:

[2086] The collected emotional data and user-input data are sent to the server. The server analyzes the received data and uses a generative AI model to automatically generate a schedule tailored to the user's emotions.

[2087] 3. Results display:

[2088] The generated schedule is sent to the user's terminal and displayed in a visually easy-to-understand format. Color coding and icons are used to allow users to quickly understand the type of activity.

[2089] Specific example

[2090] For example, suppose a user enters the following information:

[2091] School schedule: Monday 08:30-09:20 Math, 09:30-10:20 English

[2092] Club activity schedule: Tuesdays and Fridays, 4:00 PM - 6:00 PM - Soccer Club

[2093] Homework schedule: Wednesday - Submit English homework.

[2094] Outdoor activity schedule: Saturday 10:00-12:00 Zoo visit

[2095] Tutoring schedule: Mondays and Thursdays, 17:00-18:30

[2096] Location of activities: school, home, cram school

[2097] Travel time: 15 minutes by bicycle

[2098] Method of transportation: Bicycle

[2099] The emotion engine, if it detects that the user is feeling stressed, makes adjustments such as adding relaxation time. This information is sent to the server, and the generative AI model generates a schedule like the following:

[2100] Monday:

[2101] 08:30〜09:20 Mathematics (school)

[2102] 09:30-10:20 English (School)

[2103] 10:30-11:20 Science (school)

[2104] 14:00-16:00 Relaxation time (adjustment by the emotional engine)

[2105] 17:00-18:30 Cram school (cram school)

[2106] This schedule is displayed in a visually easy-to-understand format, helping users understand it and providing appropriate stress management.

[2107] Example of a prompt

[2108] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[2109] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2110] Step 1:

[2111] Users use a user device such as a smartphone or tablet to input data such as school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[2112] Input: Data on school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[2113] Output: The information entered by the user is saved on the device.

[2114] Step 2:

[2115] The user terminal uses a camera and microphone to collect the user's facial expressions and voice tone in real time and analyze the emotional data. This analysis uses the OpenCV and Keras libraries.

[2116] Input: User's facial expressions and voice

[2117] Output: User sentiment data

[2118] Step 3:

[2119] The user terminal sends the acquired emotion data and input data to the server.

[2120] Input: User sentiment data and input data (school timetable, club activity schedule, etc.)

[2121] Output: Sentiment data and input data transferred to the server

[2122] Step 4:

[2123] The server analyzes the received data. It inputs emotion data and input data into a generative AI model for analysis. The generative AI model is used for data analysis.

[2124] Input: Received sentiment data and input data

[2125] Output: Analyzed data and results

[2126] Step 5:

[2127] The server uses a generative AI model to automatically generate a schedule that takes the user's emotional state into account. For example, if the user is feeling stressed, it will add relaxation time. Data processing and calculations in the generation process are based on the algorithms of the generative AI model.

[2128] Input: Analyzed data and sentiment data

[2129] Output: A schedule tailored to the user's emotional state.

[2130] Step 6:

[2131] The generated schedule is sent from the server to the user's terminal.

[2132] Input: Schedule

[2133] Output: Schedule sent to the user terminal

[2134] Step 7:

[2135] The user terminal visually displays the received schedule. It uses color coding and icons to present the schedule in a user-friendly format.

[2136] Input: Received schedule

[2137] Output: Visually displayed schedule

[2138] Example of a prompt

[2139] "Based on the emotional state of the user, which has been recognized, please generate appropriate food suggestions. Depending on the emotional state, such as 'high stress' or 'low energy,' suggest foods that promote relaxation or restore energy. Also, adjust the delivery time based on the emotional state and generate a schedule to deliver food at the optimal time."

[2140] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[2141] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2142] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[2143] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2144] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[2145] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[2146] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[2147] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[2148] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[2149] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[2150] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[2151] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[2152] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[2153] 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.

[2154] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[2155] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[2156] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[2157] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[2158] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[2159] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[2160] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[2161] The following is further disclosed regarding the embodiments described above.

[2162] (Claim 1)

[2163] It is a system to assist in creating schedules for children.

[2164] A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[2165] Means for transmitting the aforementioned data to a server,

[2166] The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child,

[2167] Means for transmitting the generated schedule to the user terminal,

[2168] A system including means for visually displaying the generated schedule.

[2169] (Claim 2)

[2170] The system according to claim 1, characterized in that it uses color coding or icons to visualize the generated schedule in an easy-to-understand format.

[2171] (Claim 3)

[2172] The system according to claim 1, characterized in that the generating AI model analyzes the received data, organizes it by time, and automatically generates a schedule considering the time and location of each event, travel time between events, and the user's priorities.

[2173] "Example 1"

[2174] (Claim 1)

[2175] A means of receiving data from users regarding educational institution timetables, club activity schedules, homework schedules, extracurricular activity schedules, supplementary school schedules, activity locations, travel time, and travel methods.

[2176] Means for transmitting the aforementioned data to a server,

[2177] The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child,

[2178] Means for transmitting the generated schedule to the user terminal,

[2179] A system including means for visually displaying the generated schedule.

[2180] (Claim 2)

[2181] The system according to claim 1, characterized in that it uses color coding and images to visualize the generated schedule in an easily understandable format.

[2182] (Claim 3)

[2183] The system according to claim 1, characterized in that the generating AI model analyzes the received data, organizes it by time, and automatically generates a schedule considering the time and location of each event, travel time between events, and the user's priorities.

[2184] "Application Example 1"

[2185] (Claim 1)

[2186] It is a system to assist in creating schedules for children.

[2187] A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[2188] Means for transmitting the aforementioned data to a server,

[2189] The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child,

[2190] A means for transmitting the aforementioned schedule to a user terminal and generating a shopping route and schedule that takes into account the location, business hours, and congestion status of each store,

[2191] A system including means for visually displaying the generated schedule.

[2192] (Claim 2)

[2193] The system according to claim 1, characterized in that it uses color coding or icons to visualize the generated schedule in an easy-to-understand format.

[2194] (Claim 3)

[2195] The system according to claim 1, characterized in that the generating AI model analyzes the received data, organizes it by time, and automatically generates a schedule considering the time and location of each event, travel time between events, and the user's priorities.

[2196] "Example 2 of combining an emotion engine"

[2197] (Claim 1)

[2198] A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, educational institution schedules, activity locations, travel time, and travel methods.

[2199] The system includes an emotion engine for analyzing the user's emotional state based on the received data, and means for recognizing the user's emotional state in real time and collecting that data.

[2200] Means for transmitting the aforementioned data and emotional state data to a server,

[2201] The server analyzes the data and emotional state data, and uses a generative AI model to automatically generate a schedule suitable for the child.

[2202] Means for transmitting the generated schedule to the user terminal,

[2203] A system including means for visually displaying the generated schedule.

[2204] (Claim 2)

[2205] The system according to claim 1, characterized in that it uses color coding or icons to visualize the generated schedule in an easy-to-understand format.

[2206] (Claim 3)

[2207] The system according to claim 1, characterized in that the generating AI model analyzes the received data and emotional state data, organizes them by time, and automatically generates a schedule considering the time and place of each event, travel time between events, and the user's priorities and emotional state.

[2208] "Application example 2 when combining with an emotional engine"

[2209] (Claim 1)

[2210] It is a system to assist in creating schedules for children.

[2211] A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods.

[2212] Means for transmitting the aforementioned data to a server,

[2213] A means of collecting and analyzing emotional data from users,

[2214] The server analyzes the data and emotional data and uses a generative AI model to automatically generate a schedule suitable for the child.

[2215] Means for transmitting the generated schedule to the user terminal,

[2216] A system including means for visually displaying the generated schedule.

[2217] (Claim 2)

[2218] The system according to claim 1, characterized in that it uses color coding or icons to visualize the generated schedule in an easy-to-understand format.

[2219] (Claim 3)

[2220] The system according to claim 1, characterized in that the generating AI model analyzes the received data and sentiment data, organizes them by time, and automatically generates a schedule considering the time and place of each event, travel time between events, and the user's priorities. [Explanation of Symbols]

[2221] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. It is a system to assist in creating schedules for children. A means of receiving data from users regarding school timetables, club activity schedules, homework schedules, extracurricular activity schedules, cram school schedules, activity locations, travel time, and travel methods. Means for transmitting the aforementioned data to a server, The server analyzes the data and uses a generation AI model to automatically generate a schedule suitable for the child, Means for transmitting the generated schedule to the user terminal, A system including means for visually displaying the generated schedule.

2. The system according to claim 1, characterized in that it uses color coding and icons to visualize the generated schedule in an easy-to-understand format.

3. The system according to claim 1, characterized in that the generating AI model analyzes the received data, organizes it by time, and automatically generates a schedule considering the time and location of each event, travel time between events, and the user's priorities.

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