system

Abstract

Provide a system. A means for a user to input appointments, tasks, and relaxation time; means for transmitting the input data to a server; means for the server to generate an optimal daily schedule based on the received data; means for transmitting the generated schedule to a user terminal; a means for the user terminal to display the generated schedule and notify the user at an appropriate time; A system including:

Description

[Technical Field]

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

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

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

[0004] In modern society, many office workers suffer from negative mental health effects due to long working hours and irregular lifestyles. As a result, they work long hours, which leads to accumulated stress and fatigue, resulting in a decline in work productivity and a decline in quality of life. In particular, the difficulty of managing one's own schedule often leads to unnecessary stress. Therefore, an appropriate schedule management solution is needed to improve employees' mental health and ensure an efficient and healthy lifestyle. [Means for solving the problem]

[0005] The present invention provides a means for users to input their plans, tasks, and relaxation time, and a means for transmitting the input data to a server. It also provides a means for the server to generate an optimal daily schedule based on the received data and a means for transmitting the generated schedule to a user terminal. It also includes a means for the user terminal to display the generated schedule and notify the user at appropriate times. This system allows users to automatically obtain an optimal schedule and ensure appropriate rest and relaxation time. The server can also generate a schedule by taking into account the user's past schedule data and mental health information, allowing for a more personalized plan. The user terminal can also monitor the user's reactions in real time and dynamically adjust the schedule as needed, enabling more flexible and effective time management.

[0006] A "user terminal" is a device through which a user inputs appointments, tasks, and relaxation time, and displays and notifies the received schedule.

[0007] A "server" is a computer system that receives data sent from user terminals and is responsible for the process of generating schedules.

[0008] "Database" means a data storage system that stores user information, past schedules, and mental health information and that can be accessed and updated as needed.

[0009] The "schedule generation means" refers to the process and mechanism by which the server automatically creates an optimal daily schedule for the user based on the information received from the user and stored past data.

[0010] "Notification means" is a function that displays alerts and reminders to the user at appropriate times based on the schedule generated by the user device.

[0011] "Relaxation time" is the time a user plans to take physical and mental rest.

[0012] A "task" is a specific item of work or activity that a user must perform.

[0013] "Real-time monitoring" is a function that allows the user's device to monitor the user's behavior and reactions in real time and instantly adjust the schedule based on that data.

[0014] "Mental health information" is information related to the user's mental health, including stress levels and fatigue levels. [Brief explanation of the drawings]

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

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

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

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

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

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

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

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

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

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

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

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

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

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

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

[0036] The present invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through the user's input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed embodiments for implementing the present invention will be described below.

[0037] System Configuration

[0038] User Device

[0039] The user device provides an interface for the user to input schedules, tasks, and relaxation time, for example, using a web browser or a mobile app, which allows the user to easily input and submit information.

[0040] server

[0041] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0042] Program processing flow

[0043] User terminal processing

[0044] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and is sent to the server using an HTTP POST request.

[0045] Server Processing

[0046] The server processes the data received from the user's device as follows: First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on that information. The generated schedule is returned to the user's device in JSON format.

[0047] Specific examples

[0048] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, Break from 11:00 AM to 15 minutes, Work from 11:15 AM to 12:30 PM, Lunch break from 12:30 PM for 1 hour, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0049] User device display and notifications

[0050] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0051] Real-time monitoring function

[0052] The user device also includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0053] In this way, the present invention provides the user with an optimal daily schedule and supports an efficient and healthy lifestyle rhythm.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0057] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0058] Step 2:

[0059] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0060] Specifically, the fetch function of JavaScript (registered trademark) is used to send the user's input data to an endpoint (for example, http: / / example.com / submit).

[0061] Step 3:

[0062] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0063] Specifically, use the Flask framework or similar to obtain the JSON data sent using the request.get_json() method.

[0064] Step 4:

[0065] The server starts the process of generating a schedule based on the received data.

[0066] Specifically, it analyzes the user's input data (e.g., tasks and relaxation time) and passes it to the function create_schedule.

[0067] Step 5:

[0068] The server accesses the database to obtain the user's past schedule data and mental health information.

[0069] Specifically, an SQL query is executed to retrieve the user's past data, which is then integrated with the current data for analysis.

[0070] Step 6:

[0071] The server generates an optimal daily schedule based on the information obtained and current input data.

[0072] Specifically, a schedule generation algorithm is run to create a schedule that appropriately distributes tasks and relaxation time, taking into account the frequency of breaks and relaxation.

[0073] Step 7:

[0074] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[0075] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[0076] Step 8:

[0077] The user terminal receives the response from the server and displays the generated schedule on the screen.

[0078] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[0079] Step 9:

[0080] The user terminal notifies the user at a specified time based on the generated schedule.

[0081] Specifically, the system utilizes the browser's notification function and the mobile app's push notification function to display a notification such as "It's 11 o'clock. Let's take a 15-minute break" at 11:00 a.m.

[0082] Step 10:

[0083] A user device with real-time monitoring capabilities observes the user's activities and reactions and sends feedback to the server as needed.

[0084] Specifically, if a user does not complete a designated task or ignores relaxation time, that information is sent to the server in real time.

[0085] Step 11:

[0086] The server dynamically adjusts the schedule based on the feedback received in real time and sends the updated schedule back to the user device.

[0087] Specifically, the schedule generation algorithm is re-executed, a new schedule is created, and the new schedule is returned as a response. By repeating this cycle, optimal schedule management is provided to the user.

[0088] Example 1

[0089] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0090] In today's busy lifestyles, it is extremely important for users to efficiently manage their daily schedules, tasks, and relaxation time. However, manually adjusting these schedules is labor-intensive and difficult to properly consider past data and mental health information. Furthermore, systems that provide appropriate notifications according to schedules are lacking. Furthermore, there is a lack of functionality to monitor schedule progress in real time and dynamically adjust as needed. Therefore, there is a need for a system that supports users in maintaining an efficient and healthy lifestyle rhythm.

[0091] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0092] In this invention, the server includes: means for a user to input plans, tasks, and relaxation time; means for converting the input data into a data format and transmitting it to the server using a communication protocol; means for the server to analyze the received data using a generative AI model and generate an optimal daily schedule; means for converting the generated schedule into a data format and transmitting it to a user terminal; means for the user terminal to display the generated schedule and notify the user at appropriate times; and means for the user terminal to monitor the user's reactions in real time, transmit the data to the server, and dynamically adjust the schedule as needed. This allows the user to maintain an efficient and healthy lifestyle rhythm while automating entire schedule management, generating an optimal schedule taking past data and mental health information into consideration, notifying the user at appropriate times, and adjusting the schedule through real-time monitoring.

[0093] A "user terminal" is a device that allows a user to input plans, tasks, and relaxation time, and displays and notifies the generated schedule.

[0094] The "server" is a central device that receives data sent by users, analyzes it, generates schedules, and links with the database.

[0095] A "generative AI model" is an artificial intelligence model that generates optimal schedules based on input data, past data, and mental health information.

[0096] A "prompt statement" is an instruction statement used when analyzing or generating a generative AI model.

[0097] A "data format" is a format that converts information into a form that is easy for a computer to understand.

[0098] A "communication protocol" is a set of rules and procedures for transmitting data.

[0099] The "database" is a system that stores and manages users' past schedule data, mental health information, etc.

[0100] "Schedule" refers to the user's daily plan, including appointments, tasks, and relaxation time.

[0101] "Real-time monitoring" is the process of observing user behavior and reactions in real time and acquiring data as needed.

[0102] "Relaxation time" is a time set by the user for the purpose of resting and refreshing.

[0103] This invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through user input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed modes for implementing the invention are described below.

[0104] System Configuration

[0105] User Device

[0106] The user device provides an interface for users to input their schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. If a user inputs a schedule such as work from 9:00 AM to 5:00 PM, gym for one hour from 6:00 PM, and reading for one hour from 8:00 PM, the information is saved on the device.

[0107] server

[0108] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0109] Program processing flow

[0110] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and sent to the server using an HTTP POST request. The server processes the data received from the user device as follows:

[0111] First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from a database. Based on this information, the server uses a generative AI model to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[0112] As an example of a generated schedule, consider the case where a user inputs events and tasks such as "Work from 9:00 AM to 5:00 PM, Gym for 1 hour from 6:00 PM, Reading for 1 hour from 8:00 PM." The server receives this information and generates a detailed schedule taking into account the user's past data and mental health information. The schedule might be, for example, "Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM." The plan then includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0113] User device display and notifications

[0114] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0115] Real-time monitoring function

[0116] The user device includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0117] Prompt Sentence Examples

[0118] "A user enters a schedule where they work from 9am to 5pm, go to the gym for an hour from 6pm, and read for an hour from 8pm. Generate the optimal daily schedule taking into account past data and mental health information."

[0119] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0120] Step 1: User Input

[0121] Users use the device's interface to enter their schedule, tasks, and relaxation time. Specifically, they enter information such as "Work from 9 AM to 5 PM," "Gym for 1 hour from 6 PM," and "Reading for 1 hour from 8 PM" into input fields in a web browser or mobile app. The entered information is temporarily stored in the device's internal data storage. The input data format is internally converted to JSON format.

[0122] Step 2: Sending data

[0123] The user device converts the input data into JSON format and sends it to the server via an HTTP POST request to the " / schedule" endpoint. The input data includes the user ID, scheduled date and time, and details of each task. The server receives this request and proceeds to step 3.

[0124] Step 3: Receiving and analyzing data

[0125] The server receives data sent from the user's device and parses it in JSON format. The received data includes details of the user's schedule, tasks, and relaxation time. The server analyzes the data and extracts the start time, end time, and duration of each task. The server then formats the data to provide prompts to the generative AI model.

[0126] Step 4: Get information

[0127] The server queries the database to retrieve the user's past schedule data and mental health information. An example query is "SELECT FROM user_data WHERE user_id = ?". The retrieved information includes past task history, break time trends, and data on the user's mental health. This data is used as additional information to input into the generative AI model.

[0128] Step 5: Generate a schedule

[0129] The server uses a generative AI model to generate an optimal daily schedule based on the analyzed data and acquired information. The generative AI model is given a prompt, specifically, "The user has entered a schedule of work from 9:00 to 17:00, gym time from 18:00 to 1 hour, and reading time from 20:00 to 20:00. Please generate the optimal daily schedule taking into account past data and mental health information." The generated schedule is converted into JSON format.

[0130] Step 6: Send the schedule

[0131] The server converts the generated schedule into JSON format and sends it to the user's device as an HTTP response. The user's device receives this and prepares it for display on the screen. Specifically, tasks are displayed in a format such as "Work from 9:00 AM to 11:00 AM, take a 15-minute break from 11:00 AM..."

[0132] Step 7: View the schedule

[0133] The user's device analyzes the received schedule and displays it on the interface, allowing the user to easily check their own schedule. It also displays a visually easy-to-understand task timeline and detailed information about each task.

[0134] Step 8: Execute Notification

[0135] The user's device will send notifications at appropriate times based on the schedule. For example, at 11:00 a.m., a notification will pop up saying, "It's 11:00. Take a 15-minute break." This will help the user stay on schedule.

[0136] Step 9: Real-time monitoring

[0137] The user device monitors the user's behavior in real time, checking whether the user is proceeding according to plan or if they are doing something unplanned, and sending that data to the server. The server dynamically adjusts the schedule based on this data, and sends a new schedule to the user device as needed. This real-time data monitoring and transmission enables flexible schedule management for users.

[0138] (Application example 1)

[0139] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0140] Previously, systems existed that allowed users to manage their daily schedules, but they lacked the functionality to optimally suggest meal times and suitable food delivery options based on the user's schedule. Furthermore, they were unable to adjust food delivery plans in real time to accommodate schedule changes. This caused users to miss meal times or find it difficult to make optimal meal choices. Furthermore, there was no system that could suggest optimal food delivery services that took into account the user's past data or mental health information.

[0141] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0142] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data to the server, and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to propose and arrange food delivery services at optimal meal times based on the user's schedule. Furthermore, by generating a schedule taking into account the user's past schedule data and mental health information, it is possible to suggest the most suitable meal options to the user. It also provides a function for monitoring the user's responses in real time and dynamically adjusting the schedule and food delivery plan, making it possible to flexibly respond to changing schedules.

[0143] "Means for users to input schedules, tasks, and relaxation time" refers to a device or software that provides an interface that allows users to easily input the day's schedules, tasks, and relaxation time.

[0144] The "means for transmitting the input data to the server" refers to a communication means for transmitting the schedule data input by the user to the server via the Internet.

[0145] The "means for the server to generate an optimal daily schedule based on the received data" refers to a processing system that enables the server to automatically generate an optimal daily schedule based on the data received from the user.

[0146] The "means for transmitting the generated schedule to the user terminal" is a function for transmitting the schedule generated by the server to the user terminal using a communication means.

[0147] "Means for the user terminal to display the generated schedule and notify at appropriate times" refers to a display and notification system for displaying the schedule received by the user terminal to the user and notifying them.

[0148] "Means for proposing and arranging optimal food delivery services according to the generated schedule" refers to a system that proposes and arranges food delivery with optimal timing and content based on the schedule.

[0149] "Means for notifying the user of the optimal food delivery plan when the specified time arrives on the user terminal" refers to a notification system for notifying the user of the optimal food delivery plan based on the time specified by the user.

[0150] "Past schedule data" refers to schedule information previously entered by the user.

[0151] "Mental Health Information" means information about a user's mental health status.

[0152] "Means for monitoring user responses in real time and dynamically adjusting schedules and food delivery plans as needed" refers to a system for monitoring user situations in real time and appropriately changing schedules and food delivery plans in response to fluctuations.

[0153] This invention is a system that includes a user terminal, a server, and communication means for them, and allows the user to input their plans, tasks, and relaxation time, and based on that, generates an optimal daily schedule and proposes and arranges food delivery services. Specific embodiments of this system are described below.

[0154] System Configuration

[0155] User Device

[0156] The user device is a smartphone, which provides the user with an interface for inputting schedules, tasks, and relaxation time. The interface is designed so that users can easily input and send information via a mobile app. The data input from the user device is sent to the server via the Internet.

[0157] server

[0158] The server plays a central role in this system, receiving data sent from the user's device. The server is connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data and uses a generative AI model to generate an optimal daily schedule. This generated schedule is then sent back to the user's device in JSON format.

[0159] Food delivery service

[0160] Based on the generated schedule, the server works with food delivery services to suggest optimal delivery times and menus. By taking into account the user's past eating history and preferences, it is possible to provide meals that fit the user's schedule.

[0161] User device display and notifications

[0162] The user's device receives the generated schedule and immediately displays it on the screen. The device also notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00 AM. Take a 15-minute break." The generated food delivery plan will also be notified.

[0163] Real-time monitoring

[0164] The user device also includes a function to monitor the user's reactions in real time, checking whether the user is proceeding according to plan and sending real-time data to the server as needed. The server uses this data to dynamically adjust the schedule and food delivery plan, always providing the user with the most optimal experience.

[0165] Hardware and Software Configuration

[0166] The hardware and software used includes:

[0167] Smartphones: play a major role as user devices.

[0168] Firebase: Provides user authentication and notification services.

[0169] AWS (registered trademark) Lambda: A serverless computing service that generates schedules and processes data.

[0170] Amazon RDS: A database to store user history and mental health information.

[0171] Specific examples

[0172] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, 30-minute relaxation time from 4:00 PM, and Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation from 9:00 PM. Furthermore, at 12:00 PM, the server suggests suitable food delivery options and notifies the user.

[0173] Prompt Sentence Examples

[0174] "Based on the user's schedule, suggest the best food delivery plan scheduled to deliver lunch at 12:00. The user has previously preferred to order salads."

[0175] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0176] Step 1:

[0177] Users use a smartphone app to input their schedules, tasks, and relaxation time. Data is entered through the smartphone interface, including details such as work start and end times, break times, etc. The input data is structured in JSON format.

[0178] Input: Events, tasks, and relaxation time entered by the user into the app

[0179] Output: Structured schedule data in JSON format

[0180] Specific operation: The user inputs various schedule information into the input interface and presses the "send" button.

[0181] Step 2:

[0182] The schedule data entered by the user is sent to the server via the Internet. The smartphone app sends JSON formatted data to the server using an HTTP POST request.

[0183] Input: JSON format schedule data sent from the smartphone app

[0184] Output: Schedule data sent to the server

[0185] Specific operation: After pressing the send button, the smartphone app generates an HTTP request and sends data to the server.

[0186] Step 3:

[0187] The server analyzes the received schedule data, retrieves the user's past schedule data and mental health information from the database, and generates an optimal daily schedule using a generative AI model. Python is used for data analysis, and Amazon RDS is used for database access.

[0188] Input: JSON format schedule data received by the server, past schedule data and mental health information obtained from the database

[0189] Output: Generated optimal daily schedule (JSON format)

[0190] Specific operation: The server acquires the data, inputs it into the AI ​​model, and generates an optimal schedule.

[0191] Step 4:

[0192] The generated daily schedule is sent from the server to the user's smartphone app as JSON format data in an HTTP POST response.

[0193] Input: Generated optimal daily schedule (JSON format)

[0194] Output: Schedule data sent to the smartphone app

[0195] Specific operation: The server sends the generated data as a response.

[0196] Step 5:

[0197] The user device analyzes the received schedule data and displays it on the screen. It also notifies the user at appropriate times according to the displayed schedule. For example, during break time, it displays a message saying, "It's 11 o'clock. Let's take a 15-minute break."

[0198] Input: Schedule data received from the server (JSON format)

[0199] Output: Schedule display and timing notification

[0200] Specific operation: The schedule is displayed on the smartphone screen and an alert is sent to the user using the notification function.

[0201] Step 6:

[0202] The server proposes and arranges the optimal food delivery service based on the generated schedule, and connects with the food delivery service's API to select the optimal menu and delivery time.

[0203] Input: Generated schedule data, user's past meal data

[0204] Output: Order data for food delivery service

[0205] Specific operation: The server sends a request to the food delivery service's API and suggests the optimal menu and delivery time.

[0206] Step 7:

[0207] The user device will notify the optimal food delivery plan when the specified time arrives. This is a function that sends meal alerts to users at appropriate times based on their schedule.

[0208] Input: Generated food delivery plan

[0209] Output: Food delivery plan notification

[0210] Specific behavior: The smartphone app displays a notification, for example, informing the user, "It's 12 o'clock. Lunch has arrived."

[0211] Step 8:

[0212] The user device monitors the user's reactions in real time and dynamically adjusts the schedule and food delivery plan as needed, enabling flexible responses according to the user's behavioral patterns.

[0213] Input: User reaction data obtained in real time

[0214] Output: Updated schedule and food delivery plan

[0215] Specific operation: Collects data from sensors and apps that monitor user reactions, sends it to a server, and dynamically adjusts the schedule.

[0216] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0217] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therefor, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions to generate an optimal daily schedule, and displays and notifies the user. Detailed modes for implementing the present invention are described below.

[0218] System Configuration

[0219] User Device

[0220] The user device provides an interface for users to input their schedules, tasks, and relaxation time. For example, a web browser or a mobile app can be used, allowing users to easily input and submit information. In addition, the user device also has an emotion engine built in, which has the ability to recognize the user's emotional state.

[0221] Emotion Engine

[0222] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[0223] server

[0224] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[0225] Program processing flow

[0226] User terminal processing

[0227] The user device sends the schedule, task, and relaxation time data entered by the user, as well as the real-time recognized emotion data, to the server in JSON format using an HTTP POST request.

[0228] Server Processing

[0229] The server processes the data it receives from the user device and emotion engine as follows: First, the server analyzes the received data and extracts the user's input information and emotion data. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on this information. The generated schedule is returned to the user device in JSON format.

[0230] Specific examples

[0231] For example, if a user enters schedules and tasks such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it generates a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM (extended from the usual 15 minutes to 30 minutes), work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1-hour relaxation time from 4:00 PM (increased because the user is feeling stressed), and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[0232] User device display and notifications

[0233] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 30-minute break."

[0234] Real-time monitoring function

[0235] The user device also includes a function to monitor the user's reactions and emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server. The server then dynamically adjusts the schedule based on this data and presents new suggestions that are optimal for the user.

[0236] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[0237] The processing flow will be explained below.

[0238] Step 1:

[0239] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0240] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0241] Step 2:

[0242] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0243] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[0244] Step 3:

[0245] The emotion engine analyzes the user's facial recognition data and voice data in real time to detect the user's emotional state.

[0246] Specifically, the system identifies the user's emotions based on data obtained through the camera and microphone, and quantifies states such as "stress," "fatigue," and "happiness."

[0247] Step 4:

[0248] The user terminal sends the user's emotion data acquired from the emotion engine to the server.

[0249] Specifically, emotional data is sent in real time in JSON format.

[0250] Step 5:

[0251] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0252] Specifically, the JSON data sent is obtained using the framework's (e.g., Flask) request.get_json() method.

[0253] Step 6:

[0254] The server starts the process of generating a schedule based on the received data.

[0255] Specifically, it analyzes the user's input data and emotion data and passes them to the function create_schedule.

[0256] Step 7:

[0257] The server accesses the database to obtain the user's past schedule data and mental health information.

[0258] Specifically, an SQL query is executed to retrieve the relevant user's past data, which is then integrated with the current data for analysis.

[0259] Step 8:

[0260] The server generates an optimal daily schedule based on the acquired information and current input data.

[0261] Specifically, a schedule generation algorithm is run to create a schedule that takes into account necessary rest and relaxation time, and also takes emotional data into account to set additional rest and relaxation time to reduce stress.

[0262] Step 9:

[0263] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[0264] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[0265] Step 10:

[0266] The user terminal receives the response from the server and displays the generated schedule on the screen.

[0267] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[0268] Step 11:

[0269] The user terminal notifies the user at a specified time based on the generated schedule.

[0270] Specifically, by utilizing the browser's notification function and the mobile app's push notification function, for example, at 11:00 a.m. a notification such as "It's 11:00. Let's take a 30-minute break" will be displayed.

[0271] Step 12:

[0272] The user's device continuously transmits real-time monitoring data from the emotion engine to the server.

[0273] Specifically, the emotion engine analyzes changes in the user's facial expressions and tone of voice and periodically sends this data to the server.

[0274] Step 13:

[0275] The server dynamically adjusts the schedule based on the emotion data received in real time and sends the updated schedule back to the user's device.

[0276] Specifically, the schedule generation algorithm is re-run, a new schedule is created taking into account the user's current emotional state, and the new schedule is returned as a response. By repeating this cycle, the system provides optimal schedule management to the user.

[0277] Example 2

[0278] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0279] In modern society, it is difficult for users to create an efficient and healthy schedule due to their busy daily lives, and in particular, care for stress and mental health is often insufficient. To solve this problem, a system that recognizes the user's emotional state in real time and generates and adjusts an optimal daily schedule is needed.

[0280] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data, a means for the terminal to recognize the emotional state, a means for analyzing the transmitted data and generating an optimal daily plan, and a means for displaying and notifying the user of the generated plan. This enables the generation of an efficient and healthy schedule that takes the user's emotional state into consideration and dynamic adjustments in real time.

[0281] A "user terminal" is a device that allows a user to input schedules, tasks, and relaxation time, and also recognizes emotional states.

[0282] The "server" is a core device that receives and analyzes data sent from the user's device, generates an optimal daily plan, and sends it back to the user's device.

[0283] A "schedule" refers to a task or event that a user plans to do at a specific time.

[0284] A "task" is a specific task or work item that a user must accomplish in their daily life or work.

[0285] "Relaxation time" refers to time set aside for rest and relaxation by the user to relax their mind and body.

[0286] "Emotional state" refers to the emotions and psychological state a user is feeling at that moment.

[0287] "Analyzing" means conducting detailed analysis of the transmitted data to discover meanings and trends.

[0288] "Generating a plan" means creating an optimal schedule or action plan based on the analyzed data.

[0289] "Display and notification means" refers to a mechanism that visually shows the generated plans and schedules to the user and sends alerts and notifications at appropriate times.

[0290] "Real-time monitoring" means continuously observing and recording the user's emotional state and reactions in the moment.

[0291] "Dynamic adjustment" means changing existing plans and schedules on the fly based on new information learned in real time.

[0292] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therebetween, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions, thereby generating, displaying, and notifying the user of an optimal daily schedule. Detailed embodiments of this system are described below.

[0293] System Configuration

[0294] User Device

[0295] The user device provides an interface for users to input schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. The user device also has a built-in emotion engine that recognizes the user's emotional state. It uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data.

[0296] Emotion Engine

[0297] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[0298] server

[0299] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[0300] Specific examples

[0301] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, 1 hour at the gym from 6:00 PM, 1 hour reading from 8:00 PM," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it will generate a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1 hour of relaxation time from 4:00 PM, and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[0302] Prompt Sentence Examples

[0303] By inputting the following prompts into the generative AI model, it is possible to generate more detailed information about this system:

[0304] Please explain the system, including the user device, server, emotion engine, and the means of communication between them. The system generates an optimal daily schedule by allowing the user to input their schedules, tasks, and relaxation time, and recognizing their emotions. Please explain the specific process flow and the role of each piece of hardware and software in detail.

[0305] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[0306] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0307] Step 1:

[0308] Users enter appointments, tasks, and relaxation time

[0309] Users use a web browser or mobile app to enter their schedule, tasks, and relaxation time into the system. The data entered (e.g., "Work from 9 AM to 5 PM, gym for 1 hour from 6 PM, reading for 1 hour from 8 PM") becomes the input for the next processing step.

[0310] Step 2:

[0311] User devices collect emotional data

[0312] The user device uses a built-in camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data. For example, the camera captures the user's facial expressions to recognize signs of smiles and stress. This collected emotional data serves as input for the system to optimize schedule generation.

[0313] Step 3:

[0314] The user device sends data to the server

[0315] The user device sends the entered schedule, task, and relaxation time data, as well as the collected emotion data, in JSON format to the server using an HTTP POST request. The sent data is then analyzed in the next step.

[0316] Step 4:

[0317] The server analyzes the data

[0318] The server analyzes the received JSON data and extracts the user's input information and emotional data. Specifically, the server extracts the task "Work from 9:00 AM to 5:00 PM" and the emotional information "Stress." The analysis results are used in the next step.

[0319] Step 5:

[0320] The server retrieves information from the database

[0321] The server retrieves the user's past schedule data and mental health information from the database. For example, it retrieves the schedule data from the past week and analyzes how much rest time the user needs. This information becomes the input for generating an optimal schedule.

[0322] Step 6:

[0323] The server generates an optimal schedule

[0324] The server generates an optimal daily schedule based on the user's input information, emotional data, and past schedule data. For example, for a user who is feeling stressed, it generates a schedule with increased rest time. The generated schedule (e.g., "Work from 9:00 AM to 11:00 AM, take a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, take a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, take a 1-hour relaxation break from 4:00 PM, and work from 4:30 PM to 5:00 PM") is sent to the next step.

[0325] Step 7:

[0326] The server sends the generated schedule to the user's device.

[0327] The server sends the generated schedule in JSON format to the user's device, allowing the user to immediately receive the new schedule, which will be used for display and notification in the next step.

[0328] Step 8:

[0329] The user's device displays the schedule and notifies them.

[0330] The user device displays the received schedule on the screen and notifies the user at the appropriate time. For example, it displays a notification saying, "It's 11 o'clock. Let's take a 30-minute break." This notification allows the user to execute the new schedule appropriately.

[0331] Step 9:

[0332] User devices monitor emotional states in real time

[0333] The user device uses a built-in camera and microphone to monitor the user's emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server, which will then use it in the next step.

[0334] Step 10:

[0335] The server dynamically reschedules

[0336] The server dynamically readjusts the schedule based on real-time emotional data received. For example, if the user feels stressed during an afternoon workday, it will schedule additional rest time. In this way, the schedule is dynamically adjusted to allow the user to perform their tasks optimally.

[0337] (Application example 2)

[0338] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0339] A user's emotional state is a factor that greatly affects the quality of their daily life, but conventional schedule management systems and virtual shopping experiences are unable to take the user's emotional state into account, making it difficult to provide optimal services. For this reason, there is a need to develop a system that can adjust schedules and provide services in virtual stores based on the user's emotions.

[0340] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0341] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time; a means for transmitting the input data to the server; and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to recognize the user's emotional state and provide optimal schedule adjustments and virtual shopping experiences based on that. The system also includes the following means: a means for recognizing the emotional state by analyzing facial images and voice data, a means for automatically adjusting schedules and product recommendations based on the recognized emotional state, and a means for generating prompt sentences using a generative AI model for the generated schedule and recommendations and providing them to the user. This enables flexible responses based on the user's emotions, contributing to improved service quality.

[0342] "User terminal" refers to a device through which a user inputs appointments, tasks, and relaxation time and receives the generated schedule. This includes smartphones and smart glasses.

[0343] "Server" is a central computing device that analyzes data received from user terminals and generates and provides schedules.

[0344] The "emotion engine" is a system component that analyzes the user's facial images and voice data to recognize their emotional state.

[0345] The "schedule generation means" has the function of creating an optimal daily schedule by taking into consideration the user's plans, tasks, relaxation time, and emotional data.

[0346] The "product recommendation means" has the function of displaying appropriate products and campaign information in a virtual store according to the user's emotional state.

[0347] A "generative AI model" is an artificial intelligence model used to generate appropriate schedules and recommendations based on user input data and emotional data.

[0348] A "prompt" is an instruction entered into a generative AI model to provide appropriate information to the user.

[0349] "Real-time monitoring function" means that the user device has the ability to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as necessary.

[0350] A "head-mounted display" is a display device worn by a user and is used to provide a visual experience in a virtual store.

[0351] "Emotional data" refers to data related to the emotional state obtained by the emotion engine through analysis of the user's facial image and voice.

[0352] System Configuration

[0353] The system for implementing the present invention includes a user terminal, a server, an emotion engine, and communication means therebetween. Each component will be described in detail below.

[0354] User Device

[0355] The user terminal is a device through which users input their plans, tasks, and relaxation time and receive the generated schedule. It can be a smartphone or smart glasses. Users input and transmit information through a dedicated application. Furthermore, the user terminal is equipped with an emotion engine that recognizes the user's emotional state by analyzing facial recognition data and voice data. The user terminal also includes a function to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as needed.

[0356] server

[0357] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes to generate the schedule. The server is connected to a database that stores the user's past schedule data and mental health information, and uses this information to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[0358] Emotion Engine

[0359] The emotion engine analyzes the user's facial recognition and voice data to detect their emotional state, allowing the system to understand how the user feels about the system in real time and reflect this in schedules and product recommendations.

[0360] Specifying a program

[0361] The processing of the system program will be explained in natural language below.

[0362] 1. Acquiring and analyzing emotion data:

[0363] The user device analyzes the user's facial image and voice data using emotion recognition software such as Face API to identify their emotional state.

[0364] 2. Data transmission and analysis:

[0365] The schedule, task, relaxation time, and emotion data sent from the user device are sent to the server via HTTP POST requests, and the server analyzes the received data and retrieves the necessary information from the database.

[0366] 3. Generate schedules and recommendations:

[0367] The server generates an optimal daily schedule based on the emotional data and past schedule data, and automatically adjusts product recommendations, including appropriate products and campaign information, in the virtual store based on the user's emotional state.

[0368] 4. Using generative AI models:

[0369] The generative AI model generates appropriate schedules and recommended products based on input data and emotional data. In particular, the generative AI model uses prompts to provide information tailored to the user.

[0370] Specific examples

[0371] For example, if a user inputs schedules and tasks such as "Work from 9 AM to 5 PM, Gym from 6 PM" and the emotion engine analyzes the emotional state as "Sadness," the server will take these into consideration to generate an optimal schedule. Also, in the virtual store, special coupons and relaxation content will be displayed to the user. Examples of prompt sentences include:

[0372] Analyze the user's facial image to obtain emotional data, and generate code to display appropriate product and campaign information based on the dominant emotion. Use the Face API for emotion recognition and JavaScript for display.

[0373] In this way, it is possible to provide a schedule and shopping experience that is optimal for the user. The invention provides a reliable means for providing services flexibly and effectively, taking into account the emotional state of the user.

[0374] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0375] Step 1:

[0376] The user device receives input from the user. Specifically, the user enters their schedule, tasks, and relaxation time through the application interface. This allows the application to store the user's daily plan of action. Input data might include "Work from 9 AM to 5 PM" or "Gym for an hour from 6 PM."

[0377] Step 2:

[0378] The user's device acquires the user's facial image and voice data and sends them to the emotion engine. The emotion engine uses the Face API to analyze the image and voice data and recognize the user's emotional state (e.g., "sadness," "happiness," etc.). The analysis results are acquired as emotion data.

[0379] Step 3:

[0380] The user device sends the acquired schedule, tasks, relaxation time, and emotion data to the server using an HTTP POST request, and the data is passed to the server in JSON format. The server receives this data and analyzes each item.

[0381] Step 4:

[0382] The server generates an optimal daily schedule based on the received data. First, it analyzes the user's schedule, tasks, and relaxation time, and then takes emotional data into consideration. The server retrieves past schedule data and mental health information from a database and synthesizes this data to create the schedule.

[0383] Step 5:

[0384] The server sends the generated schedule to the user's device. The sent schedule is in JSON format, and the user's device receives it. The received data is analyzed and prepared to send notifications at the optimal time for the user.

[0385] Step 6:

[0386] The user's device displays the generated schedule and product recommendations. Based on the user's emotional state, the virtual store displays appropriate products and campaign information. For example, if the user is feeling stressed, relaxation-related products and special coupons will be displayed.

[0387] Step 7:

[0388] The real-time monitoring function allows the user device to continuously monitor the user's reactions. If the emotion engine detects a change in the user's emotional state, it resends the data to the server. The server then dynamically updates the schedule and recommendations based on the new data and resends them to the user device.

[0389] Step 8:

[0390] Prompt text generation using a generative AI model. The server uses the user's emotion data and schedule data to input instructions into the generative AI model and generate prompt text. For example, the prompt text may include something like, "Please analyze the user's facial image to obtain emotion data, and generate code to display appropriate product and campaign information based on the user's primary emotion. Use the Face API for emotion recognition, and use JavaScript for display."

[0391] This allows us to provide a schedule and virtual shopping experience that is optimized to the user's emotions.

[0392] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0393] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0394] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0395] [Second embodiment]

[0396] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0397] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0398] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0399] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0400] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0401] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0402] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0403] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0404] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0405] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0406] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0407] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0408] The present invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through the user's input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed embodiments for implementing the present invention will be described below.

[0409] System Configuration

[0410] User Device

[0411] The user device provides an interface for the user to input schedules, tasks, and relaxation time, for example, using a web browser or a mobile app, which allows the user to easily input and submit information.

[0412] server

[0413] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0414] Program processing flow

[0415] User terminal processing

[0416] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and is sent to the server using an HTTP POST request.

[0417] Server Processing

[0418] The server processes the data received from the user's device as follows: First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on that information. The generated schedule is returned to the user's device in JSON format.

[0419] Specific examples

[0420] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, Break from 11:00 AM to 15 minutes, Work from 11:15 AM to 12:30 PM, Lunch break from 12:30 PM for 1 hour, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0421] User device display and notifications

[0422] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0423] Real-time monitoring function

[0424] The user device also includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0425] In this way, the present invention provides the user with an optimal daily schedule and supports an efficient and healthy lifestyle rhythm.

[0426] The processing flow will be explained below.

[0427] Step 1:

[0428] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0429] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0430] Step 2:

[0431] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0432] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[0433] Step 3:

[0434] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0435] Specifically, use the Flask framework or similar to obtain the JSON data sent using the request.get_json() method.

[0436] Step 4:

[0437] The server starts the process of generating a schedule based on the received data.

[0438] Specifically, it analyzes the user's input data (e.g., tasks and relaxation time) and passes it to the function create_schedule.

[0439] Step 5:

[0440] The server accesses the database to obtain the user's past schedule data and mental health information.

[0441] Specifically, an SQL query is executed to retrieve the user's past data, which is then integrated with the current data for analysis.

[0442] Step 6:

[0443] The server generates an optimal daily schedule based on the information obtained and current input data.

[0444] Specifically, a schedule generation algorithm is run to create a schedule that appropriately distributes tasks and relaxation time, taking into account the frequency of breaks and relaxation.

[0445] Step 7:

[0446] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[0447] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[0448] Step 8:

[0449] The user terminal receives the response from the server and displays the generated schedule on the screen.

[0450] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[0451] Step 9:

[0452] The user terminal notifies the user at a specified time based on the generated schedule.

[0453] Specifically, the system utilizes the browser's notification function and the mobile app's push notification function to display a notification such as "It's 11 o'clock. Let's take a 15-minute break" at 11:00 a.m.

[0454] Step 10:

[0455] A user device with real-time monitoring capabilities observes the user's activities and reactions and sends feedback to the server as needed.

[0456] Specifically, if a user does not complete a designated task or ignores relaxation time, that information is sent to the server in real time.

[0457] Step 11:

[0458] The server dynamically adjusts the schedule based on the feedback received in real time and sends the updated schedule back to the user device.

[0459] Specifically, the schedule generation algorithm is re-executed, a new schedule is created, and the new schedule is returned as a response. By repeating this cycle, optimal schedule management is provided to the user.

[0460] Example 1

[0461] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0462] In today's busy lifestyles, it is extremely important for users to efficiently manage their daily schedules, tasks, and relaxation time. However, manually adjusting these schedules is labor-intensive and difficult to properly consider past data and mental health information. Furthermore, systems that provide appropriate notifications according to schedules are lacking. Furthermore, there is a lack of functionality to monitor schedule progress in real time and dynamically adjust as needed. Therefore, there is a need for a system that supports users in maintaining an efficient and healthy lifestyle rhythm.

[0463] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0464] In this invention, the server includes: means for a user to input plans, tasks, and relaxation time; means for converting the input data into a data format and transmitting it to the server using a communication protocol; means for the server to analyze the received data using a generative AI model and generate an optimal daily schedule; means for converting the generated schedule into a data format and transmitting it to a user terminal; means for the user terminal to display the generated schedule and notify the user at appropriate times; and means for the user terminal to monitor the user's reactions in real time, transmit the data to the server, and dynamically adjust the schedule as needed. This allows the user to maintain an efficient and healthy lifestyle rhythm while automating entire schedule management, generating an optimal schedule taking past data and mental health information into consideration, notifying the user at appropriate times, and adjusting the schedule through real-time monitoring.

[0465] A "user terminal" is a device that allows a user to input plans, tasks, and relaxation time, and displays and notifies the generated schedule.

[0466] The "server" is a central device that receives data sent by users, analyzes it, generates schedules, and links with the database.

[0467] A "generative AI model" is an artificial intelligence model that generates optimal schedules based on input data, past data, and mental health information.

[0468] A "prompt statement" is an instruction statement used when analyzing or generating a generative AI model.

[0469] A "data format" is a format that converts information into a form that is easy for a computer to understand.

[0470] A "communication protocol" is a set of rules and procedures for transmitting data.

[0471] The "database" is a system that stores and manages users' past schedule data, mental health information, etc.

[0472] "Schedule" refers to the user's daily plan, including appointments, tasks, and relaxation time.

[0473] "Real-time monitoring" is the process of observing user behavior and reactions in real time and acquiring data as needed.

[0474] "Relaxation time" is a time set by the user for the purpose of resting and refreshing.

[0475] This invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through user input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed modes for implementing the invention are described below.

[0476] System Configuration

[0477] User Device

[0478] The user device provides an interface for users to input their schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. If a user inputs a schedule such as work from 9:00 AM to 5:00 PM, gym for one hour from 6:00 PM, and reading for one hour from 8:00 PM, the information is saved on the device.

[0479] server

[0480] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0481] Program processing flow

[0482] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and sent to the server using an HTTP POST request. The server processes the data received from the user device as follows:

[0483] First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from a database. Based on this information, the server uses a generative AI model to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[0484] As an example of a generated schedule, consider the case where a user inputs events and tasks such as "Work from 9:00 AM to 5:00 PM, Gym for 1 hour from 6:00 PM, Reading for 1 hour from 8:00 PM." The server receives this information and generates a detailed schedule taking into account the user's past data and mental health information. The schedule might be, for example, "Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM." The plan then includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0485] User device display and notifications

[0486] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0487] Real-time monitoring function

[0488] The user device includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0489] Prompt Sentence Examples

[0490] "A user enters a schedule where they work from 9am to 5pm, go to the gym for an hour from 6pm, and read for an hour from 8pm. Generate the optimal daily schedule taking into account past data and mental health information."

[0491] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0492] Step 1: User Input

[0493] Users use the device's interface to enter their schedule, tasks, and relaxation time. Specifically, they enter information such as "Work from 9 AM to 5 PM," "Gym for 1 hour from 6 PM," and "Reading for 1 hour from 8 PM" into input fields in a web browser or mobile app. The entered information is temporarily stored in the device's internal data storage. The input data format is internally converted to JSON format.

[0494] Step 2: Sending data

[0495] The user device converts the input data into JSON format and sends it to the server via an HTTP POST request to the " / schedule" endpoint. The input data includes the user ID, scheduled date and time, and details of each task. The server receives this request and proceeds to step 3.

[0496] Step 3: Receiving and analyzing data

[0497] The server receives data sent from the user's device and parses it in JSON format. The received data includes details of the user's schedule, tasks, and relaxation time. The server analyzes the data and extracts the start time, end time, and duration of each task. The server then formats the data to provide prompts to the generative AI model.

[0498] Step 4: Get information

[0499] The server queries the database to retrieve the user's past schedule data and mental health information. An example query is "SELECT FROM user_data WHERE user_id = ?". The retrieved information includes past task history, break time trends, and data on the user's mental health. This data is used as additional information to input into the generative AI model.

[0500] Step 5: Generate a schedule

[0501] The server uses a generative AI model to generate an optimal daily schedule based on the analyzed data and acquired information. The generative AI model is given a prompt, specifically, "The user has entered a schedule of work from 9:00 to 17:00, gym time from 18:00 to 1 hour, and reading time from 20:00 to 20:00. Please generate the optimal daily schedule taking into account past data and mental health information." The generated schedule is converted into JSON format.

[0502] Step 6: Send the schedule

[0503] The server converts the generated schedule into JSON format and sends it to the user's device as an HTTP response. The user's device receives this and prepares it for display on the screen. Specifically, tasks are displayed in a format such as "Work from 9:00 AM to 11:00 AM, take a 15-minute break from 11:00 AM..."

[0504] Step 7: View the schedule

[0505] The user's device analyzes the received schedule and displays it on the interface, allowing the user to easily check their own schedule. It also displays a visually easy-to-understand task timeline and detailed information about each task.

[0506] Step 8: Execute Notification

[0507] The user's device will send notifications at appropriate times based on the schedule. For example, at 11:00 a.m., a notification will pop up saying, "It's 11:00. Take a 15-minute break." This will help the user stay on schedule.

[0508] Step 9: Real-time monitoring

[0509] The user device monitors the user's behavior in real time, checking whether the user is proceeding according to plan or if they are doing something unplanned, and sending that data to the server. The server dynamically adjusts the schedule based on this data, and sends a new schedule to the user device as needed. This real-time data monitoring and transmission enables flexible schedule management for users.

[0510] (Application example 1)

[0511] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0512] Previously, systems existed that allowed users to manage their daily schedules, but they lacked the functionality to optimally suggest meal times and suitable food delivery options based on the user's schedule. Furthermore, they were unable to adjust food delivery plans in real time to accommodate schedule changes. This caused users to miss meal times or find it difficult to make optimal meal choices. Furthermore, there was no system that could suggest optimal food delivery services that took into account the user's past data or mental health information.

[0513] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0514] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data to the server, and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to propose and arrange food delivery services at optimal meal times based on the user's schedule. Furthermore, by generating a schedule taking into account the user's past schedule data and mental health information, it is possible to suggest the most suitable meal options to the user. It also provides a function for monitoring the user's responses in real time and dynamically adjusting the schedule and food delivery plan, making it possible to flexibly respond to changing schedules.

[0515] "Means for users to input schedules, tasks, and relaxation time" refers to a device or software that provides an interface that allows users to easily input the day's schedules, tasks, and relaxation time.

[0516] The "means for transmitting the input data to the server" refers to a communication means for transmitting the schedule data input by the user to the server via the Internet.

[0517] The "means for the server to generate an optimal daily schedule based on the received data" refers to a processing system that enables the server to automatically generate an optimal daily schedule based on the data received from the user.

[0518] The "means for transmitting the generated schedule to the user terminal" is a function for transmitting the schedule generated by the server to the user terminal using a communication means.

[0519] "Means for the user terminal to display the generated schedule and notify at appropriate times" refers to a display and notification system for displaying the schedule received by the user terminal to the user and notifying them.

[0520] "Means for proposing and arranging optimal food delivery services according to the generated schedule" refers to a system that proposes and arranges food delivery with optimal timing and content based on the schedule.

[0521] "Means for notifying the user of the optimal food delivery plan when the specified time arrives on the user terminal" refers to a notification system for notifying the user of the optimal food delivery plan based on the time specified by the user.

[0522] "Past schedule data" refers to schedule information previously entered by the user.

[0523] "Mental Health Information" means information about a user's mental health status.

[0524] "Means for monitoring user responses in real time and dynamically adjusting schedules and food delivery plans as needed" refers to a system for monitoring user situations in real time and appropriately changing schedules and food delivery plans in response to fluctuations.

[0525] This invention is a system that includes a user terminal, a server, and communication means for them, and allows the user to input their plans, tasks, and relaxation time, and based on that, generates an optimal daily schedule and proposes and arranges food delivery services. Specific embodiments of this system are described below.

[0526] System Configuration

[0527] User Device

[0528] The user device is a smartphone, which provides the user with an interface for inputting schedules, tasks, and relaxation time. The interface is designed so that users can easily input and send information via a mobile app. The data input from the user device is sent to the server via the Internet.

[0529] server

[0530] The server plays a central role in this system, receiving data sent from the user's device. The server is connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data and uses a generative AI model to generate an optimal daily schedule. This generated schedule is then sent back to the user's device in JSON format.

[0531] Food delivery service

[0532] Based on the generated schedule, the server works with food delivery services to suggest optimal delivery times and menus. By taking into account the user's past eating history and preferences, it is possible to provide meals that fit the user's schedule.

[0533] User device display and notifications

[0534] The user's device receives the generated schedule and immediately displays it on the screen. The device also notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00 AM. Take a 15-minute break." The generated food delivery plan will also be notified.

[0535] Real-time monitoring

[0536] The user device also includes a function to monitor the user's reactions in real time, checking whether the user is proceeding according to plan and sending real-time data to the server as needed. The server uses this data to dynamically adjust the schedule and food delivery plan, always providing the user with the most optimal experience.

[0537] Hardware and Software Configuration

[0538] The hardware and software used includes:

[0539] Smartphones: play a major role as user devices.

[0540] Firebase: Provides user authentication and notification services.

[0541] AWS Lambda: A serverless computing service for schedule generation and data processing.

[0542] Amazon RDS: A database to store user history and mental health information.

[0543] Specific examples

[0544] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, 30-minute relaxation time from 4:00 PM, and Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation from 9:00 PM. Furthermore, at 12:00 PM, the server suggests suitable food delivery options and notifies the user.

[0545] Prompt Sentence Examples

[0546] "Based on the user's schedule, suggest the best food delivery plan scheduled to deliver lunch at 12:00. The user has previously preferred to order salads."

[0547] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0548] Step 1:

[0549] Users use a smartphone app to input their schedules, tasks, and relaxation time. Data is entered through the smartphone interface, including details such as work start and end times, break times, etc. The input data is structured in JSON format.

[0550] Input: Events, tasks, and relaxation time entered by the user into the app

[0551] Output: Structured schedule data in JSON format

[0552] Specific operation: The user inputs various schedule information into the input interface and presses the "send" button.

[0553] Step 2:

[0554] The schedule data entered by the user is sent to the server via the Internet. The smartphone app sends JSON formatted data to the server using an HTTP POST request.

[0555] Input: JSON format schedule data sent from the smartphone app

[0556] Output: Schedule data sent to the server

[0557] Specific operation: After pressing the send button, the smartphone app generates an HTTP request and sends data to the server.

[0558] Step 3:

[0559] The server analyzes the received schedule data, retrieves the user's past schedule data and mental health information from the database, and generates an optimal daily schedule using a generative AI model. Python is used for data analysis, and Amazon RDS is used for database access.

[0560] Input: JSON format schedule data received by the server, past schedule data and mental health information obtained from the database

[0561] Output: Generated optimal daily schedule (JSON format)

[0562] Specific operation: The server acquires the data, inputs it into the AI ​​model, and generates an optimal schedule.

[0563] Step 4:

[0564] The generated daily schedule is sent from the server to the user's smartphone app as JSON format data in an HTTP POST response.

[0565] Input: Generated optimal daily schedule (JSON format)

[0566] Output: Schedule data sent to the smartphone app

[0567] Specific operation: The server sends the generated data as a response.

[0568] Step 5:

[0569] The user device analyzes the received schedule data and displays it on the screen. It also notifies the user at appropriate times according to the displayed schedule. For example, during break time, it displays a message saying, "It's 11 o'clock. Let's take a 15-minute break."

[0570] Input: Schedule data received from the server (JSON format)

[0571] Output: Schedule display and timing notification

[0572] Specific operation: The schedule is displayed on the smartphone screen and an alert is sent to the user using the notification function.

[0573] Step 6:

[0574] The server proposes and arranges the optimal food delivery service based on the generated schedule, and connects with the food delivery service's API to select the optimal menu and delivery time.

[0575] Input: Generated schedule data, user's past meal data

[0576] Output: Order data for food delivery service

[0577] Specific operation: The server sends a request to the food delivery service's API and suggests the optimal menu and delivery time.

[0578] Step 7:

[0579] The user device will notify the optimal food delivery plan when the specified time arrives. This is a function that sends meal alerts to users at appropriate times based on their schedule.

[0580] Input: Generated food delivery plan

[0581] Output: Food delivery plan notification

[0582] Specific behavior: The smartphone app displays a notification, for example, informing the user, "It's 12 o'clock. Lunch has arrived."

[0583] Step 8:

[0584] The user device monitors the user's reactions in real time and dynamically adjusts the schedule and food delivery plan as needed, enabling flexible responses according to the user's behavioral patterns.

[0585] Input: User reaction data obtained in real time

[0586] Output: Updated schedule and food delivery plan

[0587] Specific operation: Collects data from sensors and apps that monitor user reactions, sends it to a server, and dynamically adjusts the schedule.

[0588] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0589] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therefor, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions to generate an optimal daily schedule, and displays and notifies the user. Detailed modes for implementing the present invention are described below.

[0590] System Configuration

[0591] User Device

[0592] The user device provides an interface for users to input their schedules, tasks, and relaxation time. For example, a web browser or a mobile app can be used, allowing users to easily input and submit information. In addition, the user device also has an emotion engine built in, which has the ability to recognize the user's emotional state.

[0593] Emotion Engine

[0594] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[0595] server

[0596] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[0597] Program processing flow

[0598] User terminal processing

[0599] The user device sends the schedule, task, and relaxation time data entered by the user, as well as the real-time recognized emotion data, to the server in JSON format using an HTTP POST request.

[0600] Server Processing

[0601] The server processes the data it receives from the user device and emotion engine as follows: First, the server analyzes the received data and extracts the user's input information and emotion data. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on this information. The generated schedule is returned to the user device in JSON format.

[0602] Specific examples

[0603] For example, if a user enters schedules and tasks such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it generates a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM (extended from the usual 15 minutes to 30 minutes), work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1-hour relaxation time from 4:00 PM (increased because the user is feeling stressed), and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[0604] User device display and notifications

[0605] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 30-minute break."

[0606] Real-time monitoring function

[0607] The user device also includes a function to monitor the user's reactions and emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server. The server then dynamically adjusts the schedule based on this data and presents new suggestions that are optimal for the user.

[0608] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[0609] The processing flow will be explained below.

[0610] Step 1:

[0611] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0612] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0613] Step 2:

[0614] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0615] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[0616] Step 3:

[0617] The emotion engine analyzes the user's facial recognition data and voice data in real time to detect the user's emotional state.

[0618] Specifically, the system identifies the user's emotions based on data obtained through the camera and microphone, and quantifies states such as "stress," "fatigue," and "happiness."

[0619] Step 4:

[0620] The user terminal sends the user's emotion data acquired from the emotion engine to the server.

[0621] Specifically, emotional data is sent in real time in JSON format.

[0622] Step 5:

[0623] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0624] Specifically, the JSON data sent is obtained using the framework's (e.g., Flask) request.get_json() method.

[0625] Step 6:

[0626] The server starts the process of generating a schedule based on the received data.

[0627] Specifically, it analyzes the user's input data and emotion data and passes them to the function create_schedule.

[0628] Step 7:

[0629] The server accesses the database to obtain the user's past schedule data and mental health information.

[0630] Specifically, an SQL query is executed to retrieve the relevant user's past data, which is then integrated with the current data for analysis.

[0631] Step 8:

[0632] The server generates an optimal daily schedule based on the acquired information and current input data.

[0633] Specifically, a schedule generation algorithm is run to create a schedule that takes into account necessary rest and relaxation time, and also takes emotional data into account to set additional rest and relaxation time to reduce stress.

[0634] Step 9:

[0635] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[0636] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[0637] Step 10:

[0638] The user terminal receives the response from the server and displays the generated schedule on the screen.

[0639] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[0640] Step 11:

[0641] The user terminal notifies the user at a specified time based on the generated schedule.

[0642] Specifically, by utilizing the browser's notification function and the mobile app's push notification function, for example, at 11:00 a.m. a notification such as "It's 11:00. Let's take a 30-minute break" will be displayed.

[0643] Step 12:

[0644] The user's device continuously transmits real-time monitoring data from the emotion engine to the server.

[0645] Specifically, the emotion engine analyzes changes in the user's facial expressions and tone of voice and periodically sends this data to the server.

[0646] Step 13:

[0647] The server dynamically adjusts the schedule based on the emotion data received in real time and sends the updated schedule back to the user's device.

[0648] Specifically, the schedule generation algorithm is re-run, a new schedule is created taking into account the user's current emotional state, and the new schedule is returned as a response. By repeating this cycle, the system provides optimal schedule management to the user.

[0649] Example 2

[0650] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0651] In modern society, it is difficult for users to create an efficient and healthy schedule due to their busy daily lives, and in particular, care for stress and mental health is often insufficient. To solve this problem, a system that recognizes the user's emotional state in real time and generates and adjusts an optimal daily schedule is needed.

[0652] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data, a means for the terminal to recognize the emotional state, a means for analyzing the transmitted data and generating an optimal daily plan, and a means for displaying and notifying the user of the generated plan. This enables the generation of an efficient and healthy schedule that takes the user's emotional state into consideration and dynamic adjustments in real time.

[0653] A "user terminal" is a device that allows a user to input schedules, tasks, and relaxation time, and also recognizes emotional states.

[0654] The "server" is a core device that receives and analyzes data sent from the user's device, generates an optimal daily plan, and sends it back to the user's device.

[0655] A "schedule" refers to a task or event that a user plans to do at a specific time.

[0656] A "task" is a specific task or work item that a user must accomplish in their daily life or work.

[0657] "Relaxation time" refers to time set aside for rest and relaxation by the user to relax their mind and body.

[0658] "Emotional state" refers to the emotions and psychological state a user is feeling at that moment.

[0659] "Analyzing" means conducting detailed analysis of the transmitted data to discover meanings and trends.

[0660] "Generating a plan" means creating an optimal schedule or action plan based on the analyzed data.

[0661] "Display and notification means" refers to a mechanism that visually shows the generated plans and schedules to the user and sends alerts and notifications at appropriate times.

[0662] "Real-time monitoring" means continuously observing and recording the user's emotional state and reactions in the moment.

[0663] "Dynamic adjustment" means changing existing plans and schedules on the fly based on new information learned in real time.

[0664] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therebetween, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions, thereby generating, displaying, and notifying the user of an optimal daily schedule. Detailed embodiments of this system are described below.

[0665] System Configuration

[0666] User Device

[0667] The user device provides an interface for users to input schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. The user device also has a built-in emotion engine that recognizes the user's emotional state. It uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data.

[0668] Emotion Engine

[0669] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[0670] server

[0671] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[0672] Specific examples

[0673] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, 1 hour at the gym from 6:00 PM, 1 hour reading from 8:00 PM," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it will generate a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1 hour of relaxation time from 4:00 PM, and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[0674] Prompt Sentence Examples

[0675] By inputting the following prompts into the generative AI model, it is possible to generate more detailed information about this system:

[0676] Please explain the system, including the user device, server, emotion engine, and the means of communication between them. The system generates an optimal daily schedule by allowing the user to input their schedules, tasks, and relaxation time, and recognizing their emotions. Please explain the specific process flow and the role of each piece of hardware and software in detail.

[0677] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[0678] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0679] Step 1:

[0680] Users enter appointments, tasks, and relaxation time

[0681] Users use a web browser or mobile app to enter their schedule, tasks, and relaxation time into the system. The data entered (e.g., "Work from 9 AM to 5 PM, gym for 1 hour from 6 PM, reading for 1 hour from 8 PM") becomes the input for the next processing step.

[0682] Step 2:

[0683] User devices collect emotional data

[0684] The user device uses a built-in camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data. For example, the camera captures the user's facial expressions to recognize signs of smiles and stress. This collected emotional data serves as input for the system to optimize schedule generation.

[0685] Step 3:

[0686] The user device sends data to the server

[0687] The user device sends the entered schedule, task, and relaxation time data, as well as the collected emotion data, in JSON format to the server using an HTTP POST request. The sent data is then analyzed in the next step.

[0688] Step 4:

[0689] The server analyzes the data

[0690] The server analyzes the received JSON data and extracts the user's input information and emotional data. Specifically, the server extracts the task "Work from 9:00 AM to 5:00 PM" and the emotional information "Stress." The analysis results are used in the next step.

[0691] Step 5:

[0692] The server retrieves information from the database

[0693] The server retrieves the user's past schedule data and mental health information from the database. For example, it retrieves the schedule data from the past week and analyzes how much rest time the user needs. This information becomes the input for generating an optimal schedule.

[0694] Step 6:

[0695] The server generates an optimal schedule

[0696] The server generates an optimal daily schedule based on the user's input information, emotional data, and past schedule data. For example, for a user who is feeling stressed, it generates a schedule with increased rest time. The generated schedule (e.g., "Work from 9:00 AM to 11:00 AM, take a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, take a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, take a 1-hour relaxation break from 4:00 PM, and work from 4:30 PM to 5:00 PM") is sent to the next step.

[0697] Step 7:

[0698] The server sends the generated schedule to the user's device.

[0699] The server sends the generated schedule in JSON format to the user's device, allowing the user to immediately receive the new schedule, which will be used for display and notification in the next step.

[0700] Step 8:

[0701] The user's device displays the schedule and notifies them.

[0702] The user device displays the received schedule on the screen and notifies the user at the appropriate time. For example, it displays a notification saying, "It's 11 o'clock. Let's take a 30-minute break." This notification allows the user to execute the new schedule appropriately.

[0703] Step 9:

[0704] User devices monitor emotional states in real time

[0705] The user device uses a built-in camera and microphone to monitor the user's emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server, which will then use it in the next step.

[0706] Step 10:

[0707] The server dynamically reschedules

[0708] The server dynamically readjusts the schedule based on real-time emotional data received. For example, if the user feels stressed during an afternoon workday, it will schedule additional rest time. In this way, the schedule is dynamically adjusted to allow the user to perform their tasks optimally.

[0709] (Application example 2)

[0710] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0711] A user's emotional state is a factor that greatly affects the quality of their daily life, but conventional schedule management systems and virtual shopping experiences are unable to take the user's emotional state into account, making it difficult to provide optimal services. For this reason, there is a need to develop a system that can adjust schedules and provide services in virtual stores based on the user's emotions.

[0712] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0713] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time; a means for transmitting the input data to the server; and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to recognize the user's emotional state and provide optimal schedule adjustments and virtual shopping experiences based on that. The system also includes the following means: a means for recognizing the emotional state by analyzing facial images and voice data, a means for automatically adjusting schedules and product recommendations based on the recognized emotional state, and a means for generating prompt sentences using a generative AI model for the generated schedule and recommendations and providing them to the user. This enables flexible responses based on the user's emotions, contributing to improved service quality.

[0714] "User terminal" refers to a device through which a user inputs appointments, tasks, and relaxation time and receives the generated schedule. This includes smartphones and smart glasses.

[0715] "Server" is a central computing device that analyzes data received from user terminals and generates and provides schedules.

[0716] The "emotion engine" is a system component that analyzes the user's facial images and voice data to recognize their emotional state.

[0717] The "schedule generation means" has the function of creating an optimal daily schedule by taking into consideration the user's plans, tasks, relaxation time, and emotional data.

[0718] The "product recommendation means" has the function of displaying appropriate products and campaign information in a virtual store according to the user's emotional state.

[0719] A "generative AI model" is an artificial intelligence model used to generate appropriate schedules and recommendations based on user input data and emotional data.

[0720] A "prompt" is an instruction entered into a generative AI model to provide appropriate information to the user.

[0721] "Real-time monitoring function" means that the user device has the ability to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as necessary.

[0722] A "head-mounted display" is a display device worn by a user and is used to provide a visual experience in a virtual store.

[0723] "Emotional data" refers to data related to the emotional state obtained by the emotion engine through analysis of the user's facial image and voice.

[0724] System Configuration

[0725] The system for implementing the present invention includes a user terminal, a server, an emotion engine, and communication means therebetween. Each component will be described in detail below.

[0726] User Device

[0727] The user terminal is a device through which users input their plans, tasks, and relaxation time and receive the generated schedule. It can be a smartphone or smart glasses. Users input and transmit information through a dedicated application. Furthermore, the user terminal is equipped with an emotion engine that recognizes the user's emotional state by analyzing facial recognition data and voice data. The user terminal also includes a function to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as needed.

[0728] server

[0729] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes to generate the schedule. The server is connected to a database that stores the user's past schedule data and mental health information, and uses this information to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[0730] Emotion Engine

[0731] The emotion engine analyzes the user's facial recognition and voice data to detect their emotional state, allowing the system to understand how the user feels about the system in real time and reflect this in schedules and product recommendations.

[0732] Specifying a program

[0733] The processing of the system program will be explained in natural language below.

[0734] 1. Acquiring and analyzing emotion data:

[0735] The user device analyzes the user's facial image and voice data using emotion recognition software such as Face API to identify their emotional state.

[0736] 2. Data transmission and analysis:

[0737] The schedule, task, relaxation time, and emotion data sent from the user device are sent to the server via HTTP POST requests, and the server analyzes the received data and retrieves the necessary information from the database.

[0738] 3. Generate schedules and recommendations:

[0739] The server generates an optimal daily schedule based on the emotional data and past schedule data, and automatically adjusts product recommendations, including appropriate products and campaign information, in the virtual store based on the user's emotional state.

[0740] 4. Using generative AI models:

[0741] The generative AI model generates appropriate schedules and recommended products based on input data and emotional data. In particular, the generative AI model uses prompts to provide information tailored to the user.

[0742] Specific examples

[0743] For example, if a user inputs schedules and tasks such as "Work from 9 AM to 5 PM, Gym from 6 PM" and the emotion engine analyzes the emotional state as "Sadness," the server will take these into consideration to generate an optimal schedule. Also, in the virtual store, special coupons and relaxation content will be displayed to the user. Examples of prompt sentences include:

[0744] Analyze the user's facial image to obtain emotional data, and generate code to display appropriate product and campaign information based on the dominant emotion. Use the Face API for emotion recognition and JavaScript for display.

[0745] In this way, it is possible to provide a schedule and shopping experience that is optimal for the user. The invention provides a reliable means for providing services flexibly and effectively, taking into account the emotional state of the user.

[0746] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0747] Step 1:

[0748] The user device receives input from the user. Specifically, the user enters their schedule, tasks, and relaxation time through the application interface. This allows the application to store the user's daily plan of action. Input data might include "Work from 9 AM to 5 PM" or "Gym for an hour from 6 PM."

[0749] Step 2:

[0750] The user's device acquires the user's facial image and voice data and sends them to the emotion engine. The emotion engine uses the Face API to analyze the image and voice data and recognize the user's emotional state (e.g., "sadness," "happiness," etc.). The analysis results are acquired as emotion data.

[0751] Step 3:

[0752] The user device sends the acquired schedule, tasks, relaxation time, and emotion data to the server using an HTTP POST request, and the data is passed to the server in JSON format. The server receives this data and analyzes each item.

[0753] Step 4:

[0754] The server generates an optimal daily schedule based on the received data. First, it analyzes the user's schedule, tasks, and relaxation time, and then takes emotional data into consideration. The server retrieves past schedule data and mental health information from a database and synthesizes this data to create the schedule.

[0755] Step 5:

[0756] The server sends the generated schedule to the user's device. The sent schedule is in JSON format, and the user's device receives it. The received data is analyzed and prepared to send notifications at the optimal time for the user.

[0757] Step 6:

[0758] The user's device displays the generated schedule and product recommendations. Based on the user's emotional state, the virtual store displays appropriate products and campaign information. For example, if the user is feeling stressed, relaxation-related products and special coupons will be displayed.

[0759] Step 7:

[0760] The real-time monitoring function allows the user device to continuously monitor the user's reactions. If the emotion engine detects a change in the user's emotional state, it resends the data to the server. The server then dynamically updates the schedule and recommendations based on the new data and resends them to the user device.

[0761] Step 8:

[0762] Prompt text generation using a generative AI model. The server uses the user's emotion data and schedule data to input instructions into the generative AI model and generate prompt text. For example, the prompt text may include something like, "Please analyze the user's facial image to obtain emotion data, and generate code to display appropriate product and campaign information based on the user's primary emotion. Use the Face API for emotion recognition, and use JavaScript for display."

[0763] This allows us to provide a schedule and virtual shopping experience that is optimized to the user's emotions.

[0764] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0765] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0766] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0767] [Third embodiment]

[0768] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0769] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0770] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0771] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0772] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0773] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0774] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0775] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0776] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0777] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0778] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0779] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0780] The present invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through the user's input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed embodiments for implementing the present invention will be described below.

[0781] System Configuration

[0782] User Device

[0783] The user device provides an interface for the user to input schedules, tasks, and relaxation time, for example, using a web browser or a mobile app, which allows the user to easily input and submit information.

[0784] server

[0785] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0786] Program processing flow

[0787] User terminal processing

[0788] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and is sent to the server using an HTTP POST request.

[0789] Server Processing

[0790] The server processes the data received from the user's device as follows: First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on that information. The generated schedule is returned to the user's device in JSON format.

[0791] Specific examples

[0792] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, Break from 11:00 AM to 15 minutes, Work from 11:15 AM to 12:30 PM, Lunch break from 12:30 PM for 1 hour, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0793] User device display and notifications

[0794] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0795] Real-time monitoring function

[0796] The user device also includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0797] In this way, the present invention provides the user with an optimal daily schedule and supports an efficient and healthy lifestyle rhythm.

[0798] The processing flow will be explained below.

[0799] Step 1:

[0800] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0801] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0802] Step 2:

[0803] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0804] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[0805] Step 3:

[0806] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0807] Specifically, use the Flask framework or similar to obtain the JSON data sent using the request.get_json() method.

[0808] Step 4:

[0809] The server starts the process of generating a schedule based on the received data.

[0810] Specifically, it analyzes the user's input data (e.g., tasks and relaxation time) and passes it to the function create_schedule.

[0811] Step 5:

[0812] The server accesses the database to obtain the user's past schedule data and mental health information.

[0813] Specifically, an SQL query is executed to retrieve the user's past data, which is then integrated with the current data for analysis.

[0814] Step 6:

[0815] The server generates an optimal daily schedule based on the information obtained and current input data.

[0816] Specifically, a schedule generation algorithm is run to create a schedule that appropriately distributes tasks and relaxation time, taking into account the frequency of breaks and relaxation.

[0817] Step 7:

[0818] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[0819] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[0820] Step 8:

[0821] The user terminal receives the response from the server and displays the generated schedule on the screen.

[0822] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[0823] Step 9:

[0824] The user terminal notifies the user at a specified time based on the generated schedule.

[0825] Specifically, the system utilizes the browser's notification function and the mobile app's push notification function to display a notification such as "It's 11 o'clock. Let's take a 15-minute break" at 11:00 a.m.

[0826] Step 10:

[0827] A user device with real-time monitoring capabilities observes the user's activities and reactions and sends feedback to the server as needed.

[0828] Specifically, if a user does not complete a designated task or ignores relaxation time, that information is sent to the server in real time.

[0829] Step 11:

[0830] The server dynamically adjusts the schedule based on the feedback received in real time and sends the updated schedule back to the user device.

[0831] Specifically, the schedule generation algorithm is re-executed, a new schedule is created, and the new schedule is returned as a response. By repeating this cycle, optimal schedule management is provided to the user.

[0832] Example 1

[0833] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0834] In today's busy lifestyles, it is extremely important for users to efficiently manage their daily schedules, tasks, and relaxation time. However, manually adjusting these schedules is labor-intensive and difficult to properly consider past data and mental health information. Furthermore, systems that provide appropriate notifications according to schedules are lacking. Furthermore, there is a lack of functionality to monitor schedule progress in real time and dynamically adjust as needed. Therefore, there is a need for a system that supports users in maintaining an efficient and healthy lifestyle rhythm.

[0835] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0836] In this invention, the server includes: means for a user to input plans, tasks, and relaxation time; means for converting the input data into a data format and transmitting it to the server using a communication protocol; means for the server to analyze the received data using a generative AI model and generate an optimal daily schedule; means for converting the generated schedule into a data format and transmitting it to a user terminal; means for the user terminal to display the generated schedule and notify the user at appropriate times; and means for the user terminal to monitor the user's reactions in real time, transmit the data to the server, and dynamically adjust the schedule as needed. This allows the user to maintain an efficient and healthy lifestyle rhythm while automating entire schedule management, generating an optimal schedule taking past data and mental health information into consideration, notifying the user at appropriate times, and adjusting the schedule through real-time monitoring.

[0837] A "user terminal" is a device that allows a user to input plans, tasks, and relaxation time, and displays and notifies the generated schedule.

[0838] The "server" is a central device that receives data sent by users, analyzes it, generates schedules, and links with the database.

[0839] A "generative AI model" is an artificial intelligence model that generates optimal schedules based on input data, past data, and mental health information.

[0840] A "prompt statement" is an instruction statement used when analyzing or generating a generative AI model.

[0841] A "data format" is a format that converts information into a form that is easy for a computer to understand.

[0842] A "communication protocol" is a set of rules and procedures for transmitting data.

[0843] The "database" is a system that stores and manages users' past schedule data, mental health information, etc.

[0844] "Schedule" refers to the user's daily plan, including appointments, tasks, and relaxation time.

[0845] "Real-time monitoring" is the process of observing user behavior and reactions in real time and acquiring data as needed.

[0846] "Relaxation time" is a time set by the user for the purpose of resting and refreshing.

[0847] This invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through user input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed modes for implementing the invention are described below.

[0848] System Configuration

[0849] User Device

[0850] The user device provides an interface for users to input their schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. If a user inputs a schedule such as work from 9:00 AM to 5:00 PM, gym for one hour from 6:00 PM, and reading for one hour from 8:00 PM, the information is saved on the device.

[0851] server

[0852] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[0853] Program processing flow

[0854] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and sent to the server using an HTTP POST request. The server processes the data received from the user device as follows:

[0855] First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from a database. Based on this information, the server uses a generative AI model to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[0856] As an example of a generated schedule, consider the case where a user inputs events and tasks such as "Work from 9:00 AM to 5:00 PM, Gym for 1 hour from 6:00 PM, Reading for 1 hour from 8:00 PM." The server receives this information and generates a detailed schedule taking into account the user's past data and mental health information. The schedule might be, for example, "Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM." The plan then includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[0857] User device display and notifications

[0858] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[0859] Real-time monitoring function

[0860] The user device includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[0861] Prompt Sentence Examples

[0862] "A user enters a schedule where they work from 9am to 5pm, go to the gym for an hour from 6pm, and read for an hour from 8pm. Generate the optimal daily schedule taking into account past data and mental health information."

[0863] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0864] Step 1: User Input

[0865] Users use the device's interface to enter their schedule, tasks, and relaxation time. Specifically, they enter information such as "Work from 9 AM to 5 PM," "Gym for 1 hour from 6 PM," and "Reading for 1 hour from 8 PM" into input fields in a web browser or mobile app. The entered information is temporarily stored in the device's internal data storage. The input data format is internally converted to JSON format.

[0866] Step 2: Sending data

[0867] The user device converts the input data into JSON format and sends it to the server via an HTTP POST request to the " / schedule" endpoint. The input data includes the user ID, scheduled date and time, and details of each task. The server receives this request and proceeds to step 3.

[0868] Step 3: Receiving and analyzing data

[0869] The server receives data sent from the user's device and parses it in JSON format. The received data includes details of the user's schedule, tasks, and relaxation time. The server analyzes the data and extracts the start time, end time, and duration of each task. The server then formats the data to provide prompts to the generative AI model.

[0870] Step 4: Get information

[0871] The server queries the database to retrieve the user's past schedule data and mental health information. An example query is "SELECT FROM user_data WHERE user_id = ?". The retrieved information includes past task history, break time trends, and data on the user's mental health. This data is used as additional information to input into the generative AI model.

[0872] Step 5: Generate a schedule

[0873] The server uses a generative AI model to generate an optimal daily schedule based on the analyzed data and acquired information. The generative AI model is given a prompt, specifically, "The user has entered a schedule of work from 9:00 to 17:00, gym time from 18:00 to 1 hour, and reading time from 20:00 to 20:00. Please generate the optimal daily schedule taking into account past data and mental health information." The generated schedule is converted into JSON format.

[0874] Step 6: Send the schedule

[0875] The server converts the generated schedule into JSON format and sends it to the user's device as an HTTP response. The user's device receives this and prepares it for display on the screen. Specifically, tasks are displayed in a format such as "Work from 9:00 AM to 11:00 AM, take a 15-minute break from 11:00 AM..."

[0876] Step 7: View the schedule

[0877] The user's device analyzes the received schedule and displays it on the interface, allowing the user to easily check their own schedule. It also displays a visually easy-to-understand task timeline and detailed information about each task.

[0878] Step 8: Execute Notification

[0879] The user's device will send notifications at appropriate times based on the schedule. For example, at 11:00 a.m., a notification will pop up saying, "It's 11:00. Take a 15-minute break." This will help the user stay on schedule.

[0880] Step 9: Real-time monitoring

[0881] The user device monitors the user's behavior in real time, checking whether the user is proceeding according to plan or if they are doing something unplanned, and sending that data to the server. The server dynamically adjusts the schedule based on this data, and sends a new schedule to the user device as needed. This real-time data monitoring and transmission enables flexible schedule management for users.

[0882] (Application example 1)

[0883] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0884] Previously, systems existed that allowed users to manage their daily schedules, but they lacked the functionality to optimally suggest meal times and suitable food delivery options based on the user's schedule. Furthermore, they were unable to adjust food delivery plans in real time to accommodate schedule changes. This caused users to miss meal times or find it difficult to make optimal meal choices. Furthermore, there was no system that could suggest optimal food delivery services that took into account the user's past data or mental health information.

[0885] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0886] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data to the server, and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to propose and arrange food delivery services at optimal meal times based on the user's schedule. Furthermore, by generating a schedule taking into account the user's past schedule data and mental health information, it is possible to suggest the most suitable meal options to the user. It also provides a function for monitoring the user's responses in real time and dynamically adjusting the schedule and food delivery plan, making it possible to flexibly respond to changing schedules.

[0887] "Means for users to input schedules, tasks, and relaxation time" refers to a device or software that provides an interface that allows users to easily input the day's schedules, tasks, and relaxation time.

[0888] The "means for transmitting the input data to the server" refers to a communication means for transmitting the schedule data input by the user to the server via the Internet.

[0889] The "means for the server to generate an optimal daily schedule based on the received data" refers to a processing system that enables the server to automatically generate an optimal daily schedule based on the data received from the user.

[0890] The "means for transmitting the generated schedule to the user terminal" is a function for transmitting the schedule generated by the server to the user terminal using a communication means.

[0891] "Means for the user terminal to display the generated schedule and notify at appropriate times" refers to a display and notification system for displaying the schedule received by the user terminal to the user and notifying them.

[0892] "Means for proposing and arranging optimal food delivery services according to the generated schedule" refers to a system that proposes and arranges food delivery with optimal timing and content based on the schedule.

[0893] "Means for notifying the user of the optimal food delivery plan when the specified time arrives on the user terminal" refers to a notification system for notifying the user of the optimal food delivery plan based on the time specified by the user.

[0894] "Past schedule data" refers to schedule information previously entered by the user.

[0895] "Mental Health Information" means information about a user's mental health status.

[0896] "Means for monitoring user responses in real time and dynamically adjusting schedules and food delivery plans as needed" refers to a system for monitoring user situations in real time and appropriately changing schedules and food delivery plans in response to fluctuations.

[0897] This invention is a system that includes a user terminal, a server, and communication means for them, and allows the user to input their plans, tasks, and relaxation time, and based on that, generates an optimal daily schedule and proposes and arranges food delivery services. Specific embodiments of this system are described below.

[0898] System Configuration

[0899] User Device

[0900] The user device is a smartphone, which provides the user with an interface for inputting schedules, tasks, and relaxation time. The interface is designed so that users can easily input and send information via a mobile app. The data input from the user device is sent to the server via the Internet.

[0901] server

[0902] The server plays a central role in this system, receiving data sent from the user's device. The server is connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data and uses a generative AI model to generate an optimal daily schedule. This generated schedule is then sent back to the user's device in JSON format.

[0903] Food delivery service

[0904] Based on the generated schedule, the server works with food delivery services to suggest optimal delivery times and menus. By taking into account the user's past eating history and preferences, it is possible to provide meals that fit the user's schedule.

[0905] User device display and notifications

[0906] The user's device receives the generated schedule and immediately displays it on the screen. The device also notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00 AM. Take a 15-minute break." The generated food delivery plan will also be notified.

[0907] Real-time monitoring

[0908] The user device also includes a function to monitor the user's reactions in real time, checking whether the user is proceeding according to plan and sending real-time data to the server as needed. The server uses this data to dynamically adjust the schedule and food delivery plan, always providing the user with the most optimal experience.

[0909] Hardware and Software Configuration

[0910] The hardware and software used includes:

[0911] Smartphones: play a major role as user devices.

[0912] Firebase: Provides user authentication and notification services.

[0913] AWS Lambda: A serverless computing service for schedule generation and data processing.

[0914] Amazon RDS: A database to store user history and mental health information.

[0915] Specific examples

[0916] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, 30-minute relaxation time from 4:00 PM, and Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation from 9:00 PM. Furthermore, at 12:00 PM, the server suggests suitable food delivery options and notifies the user.

[0917] Prompt Sentence Examples

[0918] "Based on the user's schedule, suggest the best food delivery plan scheduled to deliver lunch at 12:00. The user has previously preferred to order salads."

[0919] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0920] Step 1:

[0921] Users use a smartphone app to input their schedules, tasks, and relaxation time. Data is entered through the smartphone interface, including details such as work start and end times, break times, etc. The input data is structured in JSON format.

[0922] Input: Events, tasks, and relaxation time entered by the user into the app

[0923] Output: Structured schedule data in JSON format

[0924] Specific operation: The user inputs various schedule information into the input interface and presses the "send" button.

[0925] Step 2:

[0926] The schedule data entered by the user is sent to the server via the Internet. The smartphone app sends JSON formatted data to the server using an HTTP POST request.

[0927] Input: JSON format schedule data sent from the smartphone app

[0928] Output: Schedule data sent to the server

[0929] Specific operation: After pressing the send button, the smartphone app generates an HTTP request and sends data to the server.

[0930] Step 3:

[0931] The server analyzes the received schedule data, retrieves the user's past schedule data and mental health information from the database, and generates an optimal daily schedule using a generative AI model. Python is used for data analysis, and Amazon RDS is used for database access.

[0932] Input: JSON format schedule data received by the server, past schedule data and mental health information obtained from the database

[0933] Output: Generated optimal daily schedule (JSON format)

[0934] Specific operation: The server acquires the data, inputs it into the AI ​​model, and generates an optimal schedule.

[0935] Step 4:

[0936] The generated daily schedule is sent from the server to the user's smartphone app as JSON format data in an HTTP POST response.

[0937] Input: Generated optimal daily schedule (JSON format)

[0938] Output: Schedule data sent to the smartphone app

[0939] Specific operation: The server sends the generated data as a response.

[0940] Step 5:

[0941] The user device analyzes the received schedule data and displays it on the screen. It also notifies the user at appropriate times according to the displayed schedule. For example, during break time, it displays a message saying, "It's 11 o'clock. Let's take a 15-minute break."

[0942] Input: Schedule data received from the server (JSON format)

[0943] Output: Schedule display and timing notification

[0944] Specific operation: The schedule is displayed on the smartphone screen and an alert is sent to the user using the notification function.

[0945] Step 6:

[0946] The server proposes and arranges the optimal food delivery service based on the generated schedule, and connects with the food delivery service's API to select the optimal menu and delivery time.

[0947] Input: Generated schedule data, user's past meal data

[0948] Output: Order data for food delivery service

[0949] Specific operation: The server sends a request to the food delivery service's API and suggests the optimal menu and delivery time.

[0950] Step 7:

[0951] The user device will notify the optimal food delivery plan when the specified time arrives. This is a function that sends meal alerts to users at appropriate times based on their schedule.

[0952] Input: Generated food delivery plan

[0953] Output: Food delivery plan notification

[0954] Specific behavior: The smartphone app displays a notification, for example, informing the user, "It's 12 o'clock. Lunch has arrived."

[0955] Step 8:

[0956] The user device monitors the user's reactions in real time and dynamically adjusts the schedule and food delivery plan as needed, enabling flexible responses according to the user's behavioral patterns.

[0957] Input: User reaction data obtained in real time

[0958] Output: Updated schedule and food delivery plan

[0959] Specific operation: Collects data from sensors and apps that monitor user reactions, sends it to a server, and dynamically adjusts the schedule.

[0960] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0961] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therefor, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions to generate an optimal daily schedule, and displays and notifies the user. Detailed modes for implementing the present invention are described below.

[0962] System Configuration

[0963] User Device

[0964] The user device provides an interface for users to input their schedules, tasks, and relaxation time. For example, a web browser or a mobile app can be used, allowing users to easily input and submit information. In addition, the user device also has an emotion engine built in, which has the ability to recognize the user's emotional state.

[0965] Emotion Engine

[0966] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[0967] server

[0968] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[0969] Program processing flow

[0970] User terminal processing

[0971] The user device sends the schedule, task, and relaxation time data entered by the user, as well as the real-time recognized emotion data, to the server in JSON format using an HTTP POST request.

[0972] Server Processing

[0973] The server processes the data it receives from the user device and emotion engine as follows: First, the server analyzes the received data and extracts the user's input information and emotion data. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on this information. The generated schedule is returned to the user device in JSON format.

[0974] Specific examples

[0975] For example, if a user enters schedules and tasks such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it generates a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM (extended from the usual 15 minutes to 30 minutes), work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1-hour relaxation time from 4:00 PM (increased because the user is feeling stressed), and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[0976] User device display and notifications

[0977] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 30-minute break."

[0978] Real-time monitoring function

[0979] The user device also includes a function to monitor the user's reactions and emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server. The server then dynamically adjusts the schedule based on this data and presents new suggestions that are optimal for the user.

[0980] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[0981] The processing flow will be explained below.

[0982] Step 1:

[0983] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[0984] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[0985] Step 2:

[0986] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[0987] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[0988] Step 3:

[0989] The emotion engine analyzes the user's facial recognition data and voice data in real time to detect the user's emotional state.

[0990] Specifically, the system identifies the user's emotions based on data obtained through the camera and microphone, and quantifies states such as "stress," "fatigue," and "happiness."

[0991] Step 4:

[0992] The user terminal sends the user's emotion data acquired from the emotion engine to the server.

[0993] Specifically, emotional data is sent in real time in JSON format.

[0994] Step 5:

[0995] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[0996] Specifically, the JSON data sent is obtained using the framework's (e.g., Flask) request.get_json() method.

[0997] Step 6:

[0998] The server starts the process of generating a schedule based on the received data.

[0999] Specifically, it analyzes the user's input data and emotion data and passes them to the function create_schedule.

[1000] Step 7:

[1001] The server accesses the database to obtain the user's past schedule data and mental health information.

[1002] Specifically, an SQL query is executed to retrieve the relevant user's past data, which is then integrated with the current data for analysis.

[1003] Step 8:

[1004] The server generates an optimal daily schedule based on the acquired information and current input data.

[1005] Specifically, a schedule generation algorithm is run to create a schedule that takes into account necessary rest and relaxation time, and also takes emotional data into account to set additional rest and relaxation time to reduce stress.

[1006] Step 9:

[1007] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[1008] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[1009] Step 10:

[1010] The user terminal receives the response from the server and displays the generated schedule on the screen.

[1011] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[1012] Step 11:

[1013] The user terminal notifies the user at a specified time based on the generated schedule.

[1014] Specifically, by utilizing the browser's notification function and the mobile app's push notification function, for example, at 11:00 a.m. a notification such as "It's 11:00. Let's take a 30-minute break" will be displayed.

[1015] Step 12:

[1016] The user's device continuously transmits real-time monitoring data from the emotion engine to the server.

[1017] Specifically, the emotion engine analyzes changes in the user's facial expressions and tone of voice and periodically sends this data to the server.

[1018] Step 13:

[1019] The server dynamically adjusts the schedule based on the emotion data received in real time and sends the updated schedule back to the user's device.

[1020] Specifically, the schedule generation algorithm is re-run, a new schedule is created taking into account the user's current emotional state, and the new schedule is returned as a response. By repeating this cycle, the system provides optimal schedule management to the user.

[1021] Example 2

[1022] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1023] In modern society, it is difficult for users to create an efficient and healthy schedule due to their busy daily lives, and in particular, care for stress and mental health is often insufficient. To solve this problem, a system that recognizes the user's emotional state in real time and generates and adjusts an optimal daily schedule is needed.

[1024] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data, a means for the terminal to recognize the emotional state, a means for analyzing the transmitted data and generating an optimal daily plan, and a means for displaying and notifying the user of the generated plan. This enables the generation of an efficient and healthy schedule that takes the user's emotional state into consideration and dynamic adjustments in real time.

[1025] A "user terminal" is a device that allows a user to input schedules, tasks, and relaxation time, and also recognizes emotional states.

[1026] The "server" is a core device that receives and analyzes data sent from the user's device, generates an optimal daily plan, and sends it back to the user's device.

[1027] A "schedule" refers to a task or event that a user plans to do at a specific time.

[1028] A "task" is a specific task or work item that a user must accomplish in their daily life or work.

[1029] "Relaxation time" refers to time set aside for rest and relaxation by the user to relax their mind and body.

[1030] "Emotional state" refers to the emotions and psychological state a user is feeling at that moment.

[1031] "Analyzing" means conducting detailed analysis of the transmitted data to discover meanings and trends.

[1032] "Generating a plan" means creating an optimal schedule or action plan based on the analyzed data.

[1033] "Display and notification means" refers to a mechanism that visually shows the generated plans and schedules to the user and sends alerts and notifications at appropriate times.

[1034] "Real-time monitoring" means continuously observing and recording the user's emotional state and reactions in the moment.

[1035] "Dynamic adjustment" means changing existing plans and schedules on the fly based on new information learned in real time.

[1036] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therebetween, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions, thereby generating, displaying, and notifying the user of an optimal daily schedule. Detailed embodiments of this system are described below.

[1037] System Configuration

[1038] User Device

[1039] The user device provides an interface for users to input schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. The user device also has a built-in emotion engine that recognizes the user's emotional state. It uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data.

[1040] Emotion Engine

[1041] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[1042] server

[1043] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[1044] Specific examples

[1045] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, 1 hour at the gym from 6:00 PM, 1 hour reading from 8:00 PM," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it will generate a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1 hour of relaxation time from 4:00 PM, and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[1046] Prompt Sentence Examples

[1047] By inputting the following prompts into the generative AI model, it is possible to generate more detailed information about this system:

[1048] Please explain the system, including the user device, server, emotion engine, and the means of communication between them. The system generates an optimal daily schedule by allowing the user to input their schedules, tasks, and relaxation time, and recognizing their emotions. Please explain the specific process flow and the role of each piece of hardware and software in detail.

[1049] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[1050] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1051] Step 1:

[1052] Users enter appointments, tasks, and relaxation time

[1053] Users use a web browser or mobile app to enter their schedule, tasks, and relaxation time into the system. The data entered (e.g., "Work from 9 AM to 5 PM, gym for 1 hour from 6 PM, reading for 1 hour from 8 PM") becomes the input for the next processing step.

[1054] Step 2:

[1055] User devices collect emotional data

[1056] The user device uses a built-in camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data. For example, the camera captures the user's facial expressions to recognize signs of smiles and stress. This collected emotional data serves as input for the system to optimize schedule generation.

[1057] Step 3:

[1058] The user device sends data to the server

[1059] The user device sends the entered schedule, task, and relaxation time data, as well as the collected emotion data, in JSON format to the server using an HTTP POST request. The sent data is then analyzed in the next step.

[1060] Step 4:

[1061] The server analyzes the data

[1062] The server analyzes the received JSON data and extracts the user's input information and emotional data. Specifically, the server extracts the task "Work from 9:00 AM to 5:00 PM" and the emotional information "Stress." The analysis results are used in the next step.

[1063] Step 5:

[1064] The server retrieves information from the database

[1065] The server retrieves the user's past schedule data and mental health information from the database. For example, it retrieves the schedule data from the past week and analyzes how much rest time the user needs. This information becomes the input for generating an optimal schedule.

[1066] Step 6:

[1067] The server generates an optimal schedule

[1068] The server generates an optimal daily schedule based on the user's input information, emotional data, and past schedule data. For example, for a user who is feeling stressed, it generates a schedule with increased rest time. The generated schedule (e.g., "Work from 9:00 AM to 11:00 AM, take a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, take a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, take a 1-hour relaxation break from 4:00 PM, and work from 4:30 PM to 5:00 PM") is sent to the next step.

[1069] Step 7:

[1070] The server sends the generated schedule to the user's device.

[1071] The server sends the generated schedule in JSON format to the user's device, allowing the user to immediately receive the new schedule, which will be used for display and notification in the next step.

[1072] Step 8:

[1073] The user's device displays the schedule and notifies them.

[1074] The user device displays the received schedule on the screen and notifies the user at the appropriate time. For example, it displays a notification saying, "It's 11 o'clock. Let's take a 30-minute break." This notification allows the user to execute the new schedule appropriately.

[1075] Step 9:

[1076] User devices monitor emotional states in real time

[1077] The user device uses a built-in camera and microphone to monitor the user's emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server, which will then use it in the next step.

[1078] Step 10:

[1079] The server dynamically reschedules

[1080] The server dynamically readjusts the schedule based on real-time emotional data received. For example, if the user feels stressed during an afternoon workday, it will schedule additional rest time. In this way, the schedule is dynamically adjusted to allow the user to perform their tasks optimally.

[1081] (Application example 2)

[1082] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1083] A user's emotional state is a factor that greatly affects the quality of their daily life, but conventional schedule management systems and virtual shopping experiences are unable to take the user's emotional state into account, making it difficult to provide optimal services. For this reason, there is a need to develop a system that can adjust schedules and provide services in virtual stores based on the user's emotions.

[1084] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1085] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time; a means for transmitting the input data to the server; and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to recognize the user's emotional state and provide optimal schedule adjustments and virtual shopping experiences based on that. The system also includes the following means: a means for recognizing the emotional state by analyzing facial images and voice data, a means for automatically adjusting schedules and product recommendations based on the recognized emotional state, and a means for generating prompt sentences using a generative AI model for the generated schedule and recommendations and providing them to the user. This enables flexible responses based on the user's emotions, contributing to improved service quality.

[1086] "User terminal" refers to a device through which a user inputs appointments, tasks, and relaxation time and receives the generated schedule. This includes smartphones and smart glasses.

[1087] "Server" is a central computing device that analyzes data received from user terminals and generates and provides schedules.

[1088] The "emotion engine" is a system component that analyzes the user's facial images and voice data to recognize their emotional state.

[1089] The "schedule generation means" has the function of creating an optimal daily schedule by taking into consideration the user's plans, tasks, relaxation time, and emotional data.

[1090] The "product recommendation means" has the function of displaying appropriate products and campaign information in a virtual store according to the user's emotional state.

[1091] A "generative AI model" is an artificial intelligence model used to generate appropriate schedules and recommendations based on user input data and emotional data.

[1092] A "prompt" is an instruction entered into a generative AI model to provide appropriate information to the user.

[1093] "Real-time monitoring function" means that the user device has the ability to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as necessary.

[1094] A "head-mounted display" is a display device worn by a user and is used to provide a visual experience in a virtual store.

[1095] "Emotional data" refers to data related to the emotional state obtained by the emotion engine through analysis of the user's facial image and voice.

[1096] System Configuration

[1097] The system for implementing the present invention includes a user terminal, a server, an emotion engine, and communication means therebetween. Each component will be described in detail below.

[1098] User Device

[1099] The user terminal is a device through which users input their plans, tasks, and relaxation time and receive the generated schedule. It can be a smartphone or smart glasses. Users input and transmit information through a dedicated application. Furthermore, the user terminal is equipped with an emotion engine that recognizes the user's emotional state by analyzing facial recognition data and voice data. The user terminal also includes a function to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as needed.

[1100] server

[1101] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes to generate the schedule. The server is connected to a database that stores the user's past schedule data and mental health information, and uses this information to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[1102] Emotion Engine

[1103] The emotion engine analyzes the user's facial recognition and voice data to detect their emotional state, allowing the system to understand how the user feels about the system in real time and reflect this in schedules and product recommendations.

[1104] Specifying a program

[1105] The processing of the system program will be explained in natural language below.

[1106] 1. Acquiring and analyzing emotion data:

[1107] The user device analyzes the user's facial image and voice data using emotion recognition software such as Face API to identify their emotional state.

[1108] 2. Data transmission and analysis:

[1109] The schedule, task, relaxation time, and emotion data sent from the user device are sent to the server via HTTP POST requests, and the server analyzes the received data and retrieves the necessary information from the database.

[1110] 3. Generate schedules and recommendations:

[1111] The server generates an optimal daily schedule based on the emotional data and past schedule data, and automatically adjusts product recommendations, including appropriate products and campaign information, in the virtual store based on the user's emotional state.

[1112] 4. Using generative AI models:

[1113] The generative AI model generates appropriate schedules and recommended products based on input data and emotional data. In particular, the generative AI model uses prompts to provide information tailored to the user.

[1114] Specific examples

[1115] For example, if a user inputs schedules and tasks such as "Work from 9 AM to 5 PM, Gym from 6 PM" and the emotion engine analyzes the emotional state as "Sadness," the server will take these into consideration to generate an optimal schedule. Also, in the virtual store, special coupons and relaxation content will be displayed to the user. Examples of prompt sentences include:

[1116] Analyze the user's facial image to obtain emotional data, and generate code to display appropriate product and campaign information based on the dominant emotion. Use the Face API for emotion recognition and JavaScript for display.

[1117] In this way, it is possible to provide a schedule and shopping experience that is optimal for the user. The invention provides a reliable means for providing services flexibly and effectively, taking into account the emotional state of the user.

[1118] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1119] Step 1:

[1120] The user device receives input from the user. Specifically, the user enters their schedule, tasks, and relaxation time through the application interface. This allows the application to store the user's daily plan of action. Input data might include "Work from 9 AM to 5 PM" or "Gym for an hour from 6 PM."

[1121] Step 2:

[1122] The user's device acquires the user's facial image and voice data and sends them to the emotion engine. The emotion engine uses the Face API to analyze the image and voice data and recognize the user's emotional state (e.g., "sadness," "happiness," etc.). The analysis results are acquired as emotion data.

[1123] Step 3:

[1124] The user device sends the acquired schedule, tasks, relaxation time, and emotion data to the server using an HTTP POST request, and the data is passed to the server in JSON format. The server receives this data and analyzes each item.

[1125] Step 4:

[1126] The server generates an optimal daily schedule based on the received data. First, it analyzes the user's schedule, tasks, and relaxation time, and then takes emotional data into consideration. The server retrieves past schedule data and mental health information from a database and synthesizes this data to create the schedule.

[1127] Step 5:

[1128] The server sends the generated schedule to the user's device. The sent schedule is in JSON format, and the user's device receives it. The received data is analyzed and prepared to send notifications at the optimal time for the user.

[1129] Step 6:

[1130] The user's device displays the generated schedule and product recommendations. Based on the user's emotional state, the virtual store displays appropriate products and campaign information. For example, if the user is feeling stressed, relaxation-related products and special coupons will be displayed.

[1131] Step 7:

[1132] The real-time monitoring function allows the user device to continuously monitor the user's reactions. If the emotion engine detects a change in the user's emotional state, it resends the data to the server. The server then dynamically updates the schedule and recommendations based on the new data and resends them to the user device.

[1133] Step 8:

[1134] Prompt text generation using a generative AI model. The server uses the user's emotion data and schedule data to input instructions into the generative AI model and generate prompt text. For example, the prompt text may include something like, "Please analyze the user's facial image to obtain emotion data, and generate code to display appropriate product and campaign information based on the user's primary emotion. Use the Face API for emotion recognition, and use JavaScript for display."

[1135] This allows us to provide a schedule and virtual shopping experience that is optimized to the user's emotions.

[1136] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1137] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1138] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1139] [Fourth embodiment]

[1140] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1141] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1142] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1143] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1144] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1145] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1146] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1147] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1148] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1149] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1150] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1151] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1152] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1153] The present invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through the user's input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed embodiments for implementing the present invention will be described below.

[1154] System Configuration

[1155] User Device

[1156] The user device provides an interface for the user to input schedules, tasks, and relaxation time, for example, using a web browser or a mobile app, which allows the user to easily input and submit information.

[1157] server

[1158] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[1159] Program processing flow

[1160] User terminal processing

[1161] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and is sent to the server using an HTTP POST request.

[1162] Server Processing

[1163] The server processes the data received from the user's device as follows: First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on that information. The generated schedule is returned to the user's device in JSON format.

[1164] Specific examples

[1165] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, Break from 11:00 AM to 15 minutes, Work from 11:15 AM to 12:30 PM, Lunch break from 12:30 PM for 1 hour, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[1166] User device display and notifications

[1167] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[1168] Real-time monitoring function

[1169] The user device also includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[1170] In this way, the present invention provides the user with an optimal daily schedule and supports an efficient and healthy lifestyle rhythm.

[1171] The processing flow will be explained below.

[1172] Step 1:

[1173] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[1174] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[1175] Step 2:

[1176] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[1177] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[1178] Step 3:

[1179] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[1180] Specifically, use the Flask framework or similar to obtain the JSON data sent using the request.get_json() method.

[1181] Step 4:

[1182] The server starts the process of generating a schedule based on the received data.

[1183] Specifically, it analyzes the user's input data (e.g., tasks and relaxation time) and passes it to the function create_schedule.

[1184] Step 5:

[1185] The server accesses the database to obtain the user's past schedule data and mental health information.

[1186] Specifically, an SQL query is executed to retrieve the user's past data, which is then integrated with the current data for analysis.

[1187] Step 6:

[1188] The server generates an optimal daily schedule based on the information obtained and current input data.

[1189] Specifically, a schedule generation algorithm is run to create a schedule that appropriately distributes tasks and relaxation time, taking into account the frequency of breaks and relaxation.

[1190] Step 7:

[1191] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[1192] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[1193] Step 8:

[1194] The user terminal receives the response from the server and displays the generated schedule on the screen.

[1195] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[1196] Step 9:

[1197] The user terminal notifies the user at a specified time based on the generated schedule.

[1198] Specifically, the system utilizes the browser's notification function and the mobile app's push notification function to display a notification such as "It's 11 o'clock. Let's take a 15-minute break" at 11:00 a.m.

[1199] Step 10:

[1200] A user device with real-time monitoring capabilities observes the user's activities and reactions and sends feedback to the server as needed.

[1201] Specifically, if a user does not complete a designated task or ignores relaxation time, that information is sent to the server in real time.

[1202] Step 11:

[1203] The server dynamically adjusts the schedule based on the feedback received in real time and sends the updated schedule back to the user device.

[1204] Specifically, the schedule generation algorithm is re-executed, a new schedule is created, and the new schedule is returned as a response. By repeating this cycle, optimal schedule management is provided to the user.

[1205] Example 1

[1206] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1207] In today's busy lifestyles, it is extremely important for users to efficiently manage their daily schedules, tasks, and relaxation time. However, manually adjusting these schedules is labor-intensive and difficult to properly consider past data and mental health information. Furthermore, systems that provide appropriate notifications according to schedules are lacking. Furthermore, there is a lack of functionality to monitor schedule progress in real time and dynamically adjust as needed. Therefore, there is a need for a system that supports users in maintaining an efficient and healthy lifestyle rhythm.

[1208] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1209] In this invention, the server includes: means for a user to input plans, tasks, and relaxation time; means for converting the input data into a data format and transmitting it to the server using a communication protocol; means for the server to analyze the received data using a generative AI model and generate an optimal daily schedule; means for converting the generated schedule into a data format and transmitting it to a user terminal; means for the user terminal to display the generated schedule and notify the user at appropriate times; and means for the user terminal to monitor the user's reactions in real time, transmit the data to the server, and dynamically adjust the schedule as needed. This allows the user to maintain an efficient and healthy lifestyle rhythm while automating entire schedule management, generating an optimal schedule taking past data and mental health information into consideration, notifying the user at appropriate times, and adjusting the schedule through real-time monitoring.

[1210] A "user terminal" is a device that allows a user to input plans, tasks, and relaxation time, and displays and notifies the generated schedule.

[1211] The "server" is a central device that receives data sent by users, analyzes it, generates schedules, and links with the database.

[1212] A "generative AI model" is an artificial intelligence model that generates optimal schedules based on input data, past data, and mental health information.

[1213] A "prompt statement" is an instruction statement used when analyzing or generating a generative AI model.

[1214] A "data format" is a format that converts information into a form that is easy for a computer to understand.

[1215] A "communication protocol" is a set of rules and procedures for transmitting data.

[1216] The "database" is a system that stores and manages users' past schedule data, mental health information, etc.

[1217] "Schedule" refers to the user's daily plan, including appointments, tasks, and relaxation time.

[1218] "Real-time monitoring" is the process of observing user behavior and reactions in real time and acquiring data as needed.

[1219] "Relaxation time" is a time set by the user for the purpose of resting and refreshing.

[1220] This invention is a system including a user terminal, a server, and communication means therefor, which generates an optimal daily schedule through user input of plans, tasks, and relaxation time, and displays and notifies the user. Detailed modes for implementing the invention are described below.

[1221] System Configuration

[1222] User Device

[1223] The user device provides an interface for users to input their schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. If a user inputs a schedule such as work from 9:00 AM to 5:00 PM, gym for one hour from 6:00 PM, and reading for one hour from 8:00 PM, the information is saved on the device.

[1224] server

[1225] The server plays a central role in this system, receiving data sent from user devices and performing various processes to generate schedules. The server is also connected to a database that stores users' past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates an optimal schedule.

[1226] Program processing flow

[1227] The user device sends the schedule, task, and relaxation time data entered by the user to the server. The data is in JSON format and sent to the server using an HTTP POST request. The server processes the data received from the user device as follows:

[1228] First, the server analyzes the received data and extracts the user's input information. Next, the server retrieves the user's past schedule data and mental health information from a database. Based on this information, the server uses a generative AI model to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[1229] As an example of a generated schedule, consider the case where a user inputs events and tasks such as "Work from 9:00 AM to 5:00 PM, Gym for 1 hour from 6:00 PM, Reading for 1 hour from 8:00 PM." The server receives this information and generates a detailed schedule taking into account the user's past data and mental health information. The schedule might be, for example, "Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, Relaxation time from 4:30 PM, Work from 4:30 PM to 5:00 PM." The plan then includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation time from 9:00 PM.

[1230] User device display and notifications

[1231] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 15-minute break."

[1232] Real-time monitoring function

[1233] The user device includes a function to monitor the user's reactions in real time, which allows the user to check whether the user is progressing according to plan and, if necessary, sends real-time data to the server, which then dynamically adjusts the schedule based on this data and makes optimal suggestions to the user.

[1234] Prompt Sentence Examples

[1235] "A user enters a schedule where they work from 9am to 5pm, go to the gym for an hour from 6pm, and read for an hour from 8pm. Generate the optimal daily schedule taking into account past data and mental health information."

[1236] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1237] Step 1: User Input

[1238] Users use the device's interface to enter their schedule, tasks, and relaxation time. Specifically, they enter information such as "Work from 9 AM to 5 PM," "Gym for 1 hour from 6 PM," and "Reading for 1 hour from 8 PM" into input fields in a web browser or mobile app. The entered information is temporarily stored in the device's internal data storage. The input data format is internally converted to JSON format.

[1239] Step 2: Sending data

[1240] The user device converts the input data into JSON format and sends it to the server via an HTTP POST request to the " / schedule" endpoint. The input data includes the user ID, scheduled date and time, and details of each task. The server receives this request and proceeds to step 3.

[1241] Step 3: Receiving and analyzing data

[1242] The server receives data sent from the user's device and parses it in JSON format. The received data includes details of the user's schedule, tasks, and relaxation time. The server analyzes the data and extracts the start time, end time, and duration of each task. The server then formats the data to provide prompts to the generative AI model.

[1243] Step 4: Get information

[1244] The server queries the database to retrieve the user's past schedule data and mental health information. An example query is "SELECT FROM user_data WHERE user_id = ?". The retrieved information includes past task history, break time trends, and data on the user's mental health. This data is used as additional information to input into the generative AI model.

[1245] Step 5: Generate a schedule

[1246] The server uses a generative AI model to generate an optimal daily schedule based on the analyzed data and acquired information. The generative AI model is given a prompt, specifically, "The user has entered a schedule of work from 9:00 to 17:00, gym time from 18:00 to 1 hour, and reading time from 20:00 to 20:00. Please generate the optimal daily schedule taking into account past data and mental health information." The generated schedule is converted into JSON format.

[1247] Step 6: Send the schedule

[1248] The server converts the generated schedule into JSON format and sends it to the user's device as an HTTP response. The user's device receives this and prepares it for display on the screen. Specifically, tasks are displayed in a format such as "Work from 9:00 AM to 11:00 AM, take a 15-minute break from 11:00 AM..."

[1249] Step 7: View the schedule

[1250] The user's device analyzes the received schedule and displays it on the interface, allowing the user to easily check their own schedule. It also displays a visually easy-to-understand task timeline and detailed information about each task.

[1251] Step 8: Execute Notification

[1252] The user's device will send notifications at appropriate times based on the schedule. For example, at 11:00 a.m., a notification will pop up saying, "It's 11:00. Take a 15-minute break." This will help the user stay on schedule.

[1253] Step 9: Real-time monitoring

[1254] The user device monitors the user's behavior in real time, checking whether the user is proceeding according to plan or if they are doing something unplanned, and sending that data to the server. The server dynamically adjusts the schedule based on this data, and sends a new schedule to the user device as needed. This real-time data monitoring and transmission enables flexible schedule management for users.

[1255] (Application example 1)

[1256] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1257] Previously, systems existed that allowed users to manage their daily schedules, but they lacked the functionality to optimally suggest meal times and suitable food delivery options based on the user's schedule. Furthermore, they were unable to adjust food delivery plans in real time to accommodate schedule changes. This caused users to miss meal times or find it difficult to make optimal meal choices. Furthermore, there was no system that could suggest optimal food delivery services that took into account the user's past data or mental health information.

[1258] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1259] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data to the server, and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to propose and arrange food delivery services at optimal meal times based on the user's schedule. Furthermore, by generating a schedule taking into account the user's past schedule data and mental health information, it is possible to suggest the most suitable meal options to the user. It also provides a function for monitoring the user's responses in real time and dynamically adjusting the schedule and food delivery plan, making it possible to flexibly respond to changing schedules.

[1260] "Means for users to input schedules, tasks, and relaxation time" refers to a device or software that provides an interface that allows users to easily input the day's schedules, tasks, and relaxation time.

[1261] The "means for transmitting the input data to the server" refers to a communication means for transmitting the schedule data input by the user to the server via the Internet.

[1262] The "means for the server to generate an optimal daily schedule based on the received data" refers to a processing system that enables the server to automatically generate an optimal daily schedule based on the data received from the user.

[1263] The "means for transmitting the generated schedule to the user terminal" is a function for transmitting the schedule generated by the server to the user terminal using a communication means.

[1264] "Means for the user terminal to display the generated schedule and notify at appropriate times" refers to a display and notification system for displaying the schedule received by the user terminal to the user and notifying them.

[1265] "Means for proposing and arranging optimal food delivery services according to the generated schedule" refers to a system that proposes and arranges food delivery with optimal timing and content based on the schedule.

[1266] "Means for notifying the user of the optimal food delivery plan when the specified time arrives on the user terminal" refers to a notification system for notifying the user of the optimal food delivery plan based on the time specified by the user.

[1267] "Past schedule data" refers to schedule information previously entered by the user.

[1268] "Mental Health Information" means information about a user's mental health status.

[1269] "Means for monitoring user responses in real time and dynamically adjusting schedules and food delivery plans as needed" refers to a system for monitoring user situations in real time and appropriately changing schedules and food delivery plans in response to fluctuations.

[1270] This invention is a system that includes a user terminal, a server, and communication means for them, and allows the user to input their plans, tasks, and relaxation time, and based on that, generates an optimal daily schedule and proposes and arranges food delivery services. Specific embodiments of this system are described below.

[1271] System Configuration

[1272] User Device

[1273] The user device is a smartphone, which provides the user with an interface for inputting schedules, tasks, and relaxation time. The interface is designed so that users can easily input and send information via a mobile app. The data input from the user device is sent to the server via the Internet.

[1274] server

[1275] The server plays a central role in this system, receiving data sent from the user's device. The server is connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data and uses a generative AI model to generate an optimal daily schedule. This generated schedule is then sent back to the user's device in JSON format.

[1276] Food delivery service

[1277] Based on the generated schedule, the server works with food delivery services to suggest optimal delivery times and menus. By taking into account the user's past eating history and preferences, it is possible to provide meals that fit the user's schedule.

[1278] User device display and notifications

[1279] The user's device receives the generated schedule and immediately displays it on the screen. The device also notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00 AM. Take a 15-minute break." The generated food delivery plan will also be notified.

[1280] Real-time monitoring

[1281] The user device also includes a function to monitor the user's reactions in real time, checking whether the user is proceeding according to plan and sending real-time data to the server as needed. The server uses this data to dynamically adjust the schedule and food delivery plan, always providing the user with the most optimal experience.

[1282] Hardware and Software Configuration

[1283] The hardware and software used includes:

[1284] Smartphones: play a major role as user devices.

[1285] Firebase: Provides user authentication and notification services.

[1286] AWS Lambda: A serverless computing service for schedule generation and data processing.

[1287] Amazon RDS: A database to store user history and mental health information.

[1288] Specific examples

[1289] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," the server receives this information and, taking into account the user's past data and mental health information, generates a schedule such as Work from 9:00 AM to 11:00 AM, 15-minute break from 11:00 AM, Work from 11:15 AM to 12:30 PM, 1-hour lunch break from 12:30 PM, Work from 1:30 PM to 4:00 PM, 30-minute relaxation time from 4:00 PM, and Work from 4:30 PM to 5:00 PM. A plan is then created that includes Gym from 6:00 PM, Reading from 8:00 PM, and Relaxation from 9:00 PM. Furthermore, at 12:00 PM, the server suggests suitable food delivery options and notifies the user.

[1290] Prompt Sentence Examples

[1291] "Based on the user's schedule, suggest the best food delivery plan scheduled to deliver lunch at 12:00. The user has previously preferred to order salads."

[1292] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1293] Step 1:

[1294] Users use a smartphone app to input their schedules, tasks, and relaxation time. Data is entered through the smartphone interface, including details such as work start and end times, break times, etc. The input data is structured in JSON format.

[1295] Input: Events, tasks, and relaxation time entered by the user into the app

[1296] Output: Structured schedule data in JSON format

[1297] Specific operation: The user inputs various schedule information into the input interface and presses the "send" button.

[1298] Step 2:

[1299] The schedule data entered by the user is sent to the server via the Internet. The smartphone app sends JSON formatted data to the server using an HTTP POST request.

[1300] Input: JSON format schedule data sent from the smartphone app

[1301] Output: Schedule data sent to the server

[1302] Specific operation: After pressing the send button, the smartphone app generates an HTTP request and sends data to the server.

[1303] Step 3:

[1304] The server analyzes the received schedule data, retrieves the user's past schedule data and mental health information from the database, and generates an optimal daily schedule using a generative AI model. Python is used for data analysis, and Amazon RDS is used for database access.

[1305] Input: JSON format schedule data received by the server, past schedule data and mental health information obtained from the database

[1306] Output: Generated optimal daily schedule (JSON format)

[1307] Specific operation: The server acquires the data, inputs it into the AI ​​model, and generates an optimal schedule.

[1308] Step 4:

[1309] The generated daily schedule is sent from the server to the user's smartphone app as JSON format data in an HTTP POST response.

[1310] Input: Generated optimal daily schedule (JSON format)

[1311] Output: Schedule data sent to the smartphone app

[1312] Specific operation: The server sends the generated data as a response.

[1313] Step 5:

[1314] The user device analyzes the received schedule data and displays it on the screen. It also notifies the user at appropriate times according to the displayed schedule. For example, during break time, it displays a message saying, "It's 11 o'clock. Let's take a 15-minute break."

[1315] Input: Schedule data received from the server (JSON format)

[1316] Output: Schedule display and timing notification

[1317] Specific operation: The schedule is displayed on the smartphone screen and an alert is sent to the user using the notification function.

[1318] Step 6:

[1319] The server proposes and arranges the optimal food delivery service based on the generated schedule, and connects with the food delivery service's API to select the optimal menu and delivery time.

[1320] Input: Generated schedule data, user's past meal data

[1321] Output: Order data for food delivery service

[1322] Specific operation: The server sends a request to the food delivery service's API and suggests the optimal menu and delivery time.

[1323] Step 7:

[1324] The user device will notify the optimal food delivery plan when the specified time arrives. This is a function that sends meal alerts to users at appropriate times based on their schedule.

[1325] Input: Generated food delivery plan

[1326] Output: Food delivery plan notification

[1327] Specific behavior: The smartphone app displays a notification, for example, informing the user, "It's 12 o'clock. Lunch has arrived."

[1328] Step 8:

[1329] The user device monitors the user's reactions in real time and dynamically adjusts the schedule and food delivery plan as needed, enabling flexible responses according to the user's behavioral patterns.

[1330] Input: User reaction data obtained in real time

[1331] Output: Updated schedule and food delivery plan

[1332] Specific operation: Collects data from sensors and apps that monitor user reactions, sends it to a server, and dynamically adjusts the schedule.

[1333] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1334] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therefor, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions to generate an optimal daily schedule, and displays and notifies the user. Detailed modes for implementing the present invention are described below.

[1335] System Configuration

[1336] User Device

[1337] The user device provides an interface for users to input their schedules, tasks, and relaxation time. For example, a web browser or a mobile app can be used, allowing users to easily input and submit information. In addition, the user device also has an emotion engine built in, which has the ability to recognize the user's emotional state.

[1338] Emotion Engine

[1339] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[1340] server

[1341] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[1342] Program processing flow

[1343] User terminal processing

[1344] The user device sends the schedule, task, and relaxation time data entered by the user, as well as the real-time recognized emotion data, to the server in JSON format using an HTTP POST request.

[1345] Server Processing

[1346] The server processes the data it receives from the user device and emotion engine as follows: First, the server analyzes the received data and extracts the user's input information and emotion data. Next, the server retrieves the user's past schedule data and mental health information from the database and generates an optimal daily schedule based on this information. The generated schedule is returned to the user device in JSON format.

[1347] Specific examples

[1348] For example, if a user enters schedules and tasks such as "Work from 9:00 AM to 5:00 PM, Gym from 6:00 PM for 1 hour, Reading from 8:00 PM for 1 hour," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it generates a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM (extended from the usual 15 minutes to 30 minutes), work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1-hour relaxation time from 4:00 PM (increased because the user is feeling stressed), and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[1349] User device display and notifications

[1350] The user device receives the generated schedule and immediately displays it on the screen. Furthermore, the device notifies the user at appropriate times according to the schedule. For example, at 11:00 AM, a notification will be displayed saying, "It's 11:00. Take a 30-minute break."

[1351] Real-time monitoring function

[1352] The user device also includes a function to monitor the user's reactions and emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server. The server then dynamically adjusts the schedule based on this data and presents new suggestions that are optimal for the user.

[1353] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[1354] The processing flow will be explained below.

[1355] Step 1:

[1356] The user inputs the day's schedule, tasks, and relaxation time through the user terminal.

[1357] Specifically, users fill out a form in a web browser or mobile app with information such as "Work from 9:00 AM to 5:00 PM," "Go to the gym for an hour from 6:00 PM," or "Read for an hour from 8:00 PM," and then press the submit button.

[1358] Step 2:

[1359] The user terminal converts the input data into JSON format and sends it to the server as a POST request.

[1360] Specifically, the user input data is sent to an endpoint (e.g., http: / / example.com / submit) using the JavaScript fetch function.

[1361] Step 3:

[1362] The emotion engine analyzes the user's facial recognition data and voice data in real time to detect the user's emotional state.

[1363] Specifically, the system identifies the user's emotions based on data obtained through the camera and microphone, and quantifies states such as "stress," "fatigue," and "happiness."

[1364] Step 4:

[1365] The user terminal sends the user's emotion data acquired from the emotion engine to the server.

[1366] Specifically, emotional data is sent in real time in JSON format.

[1367] Step 5:

[1368] The server receives the POST request sent from the user terminal and analyzes the contents of the request.

[1369] Specifically, the JSON data sent is obtained using the framework's (e.g., Flask) request.get_json() method.

[1370] Step 6:

[1371] The server starts the process of generating a schedule based on the received data.

[1372] Specifically, it analyzes the user's input data and emotion data and passes them to the function create_schedule.

[1373] Step 7:

[1374] The server accesses the database to obtain the user's past schedule data and mental health information.

[1375] Specifically, an SQL query is executed to retrieve the relevant user's past data, which is then integrated with the current data for analysis.

[1376] Step 8:

[1377] The server generates an optimal daily schedule based on the acquired information and current input data.

[1378] Specifically, a schedule generation algorithm is run to create a schedule that takes into account necessary rest and relaxation time, and also takes emotional data into account to set additional rest and relaxation time to reduce stress.

[1379] Step 9:

[1380] The server converts the generated schedule into JSON format and sends it back to the user device as a response.

[1381] Specifically, the jsonify method is used to encode the generated schedule data in JSON format and return it as an HTTP response.

[1382] Step 10:

[1383] The user terminal receives the response from the server and displays the generated schedule on the screen.

[1384] Specifically, JavaScript is used to dynamically insert schedule information into HTML elements on the screen and present it visually to the user.

[1385] Step 11:

[1386] The user terminal notifies the user at a specified time based on the generated schedule.

[1387] Specifically, by utilizing the browser's notification function and the mobile app's push notification function, for example, at 11:00 a.m. a notification such as "It's 11:00. Let's take a 30-minute break" will be displayed.

[1388] Step 12:

[1389] The user's device continuously transmits real-time monitoring data from the emotion engine to the server.

[1390] Specifically, the emotion engine analyzes changes in the user's facial expressions and tone of voice and periodically sends this data to the server.

[1391] Step 13:

[1392] The server dynamically adjusts the schedule based on the emotion data received in real time and sends the updated schedule back to the user's device.

[1393] Specifically, the schedule generation algorithm is re-run, a new schedule is created taking into account the user's current emotional state, and the new schedule is returned as a response. By repeating this cycle, the system provides optimal schedule management to the user.

[1394] Example 2

[1395] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1396] In modern society, it is difficult for users to create an efficient and healthy schedule due to their busy daily lives, and in particular, care for stress and mental health is often insufficient. To solve this problem, a system that recognizes the user's emotional state in real time and generates and adjusts an optimal daily schedule is needed.

[1397] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for the user to input plans, tasks, and relaxation time, a means for transmitting the input data, a means for the terminal to recognize the emotional state, a means for analyzing the transmitted data and generating an optimal daily plan, and a means for displaying and notifying the user of the generated plan. This enables the generation of an efficient and healthy schedule that takes the user's emotional state into consideration and dynamic adjustments in real time.

[1398] A "user terminal" is a device that allows a user to input schedules, tasks, and relaxation time, and also recognizes emotional states.

[1399] The "server" is a core device that receives and analyzes data sent from the user's device, generates an optimal daily plan, and sends it back to the user's device.

[1400] A "schedule" refers to a task or event that a user plans to do at a specific time.

[1401] A "task" is a specific task or work item that a user must accomplish in their daily life or work.

[1402] "Relaxation time" refers to time set aside for rest and relaxation by the user to relax their mind and body.

[1403] "Emotional state" refers to the emotions and psychological state a user is feeling at that moment.

[1404] "Analyzing" means conducting detailed analysis of the transmitted data to discover meanings and trends.

[1405] "Generating a plan" means creating an optimal schedule or action plan based on the analyzed data.

[1406] "Display and notification means" refers to a mechanism that visually shows the generated plans and schedules to the user and sends alerts and notifications at appropriate times.

[1407] "Real-time monitoring" means continuously observing and recording the user's emotional state and reactions in the moment.

[1408] "Dynamic adjustment" means changing existing plans and schedules on the fly based on new information learned in real time.

[1409] The present invention is a system including a user terminal, a server, an emotion engine, and communication means therebetween, which allows a user to input plans, tasks, and relaxation time, and recognizes the user's emotions, thereby generating, displaying, and notifying the user of an optimal daily schedule. Detailed embodiments of this system are described below.

[1410] System Configuration

[1411] User Device

[1412] The user device provides an interface for users to input schedules, tasks, and relaxation time. Specifically, a web browser or mobile app can be used. This allows users to easily input and submit information. The user device also has a built-in emotion engine that recognizes the user's emotional state. It uses a camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data.

[1413] Emotion Engine

[1414] The emotion engine analyzes the user's facial recognition data and voice data to detect their emotional state, allowing the system to understand in real time how the user feels about the system and reflect this in schedule adjustments.

[1415] server

[1416] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes for generating the schedule. The server is also connected to a database that stores the user's past schedule data and mental health information. The server analyzes the received data, retrieves the necessary information from the database, and generates the optimal schedule.

[1417] Specific examples

[1418] For example, if a user enters an appointment or task such as "Work from 9:00 AM to 5:00 PM, 1 hour at the gym from 6:00 PM, 1 hour reading from 8:00 PM," and the emotion engine determines that the user is feeling stressed based on facial recognition data, the server will receive this information and add appropriate rest and relaxation time to the user. Specifically, it will generate a schedule such as work from 9:00 AM to 11:00 AM, a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, 1 hour of relaxation time from 4:00 PM, and work from 4:30 PM to 5:00 PM. A plan is then created that includes gym time from 6:00 PM, reading from 8:00 PM, and relaxation time from 9:00 PM.

[1419] Prompt Sentence Examples

[1420] By inputting the following prompts into the generative AI model, it is possible to generate more detailed information about this system:

[1421] Please explain the system, including the user device, server, emotion engine, and the means of communication between them. The system generates an optimal daily schedule by allowing the user to input their schedules, tasks, and relaxation time, and recognizing their emotions. Please explain the specific process flow and the role of each piece of hardware and software in detail.

[1422] In this way, the present invention provides users with an optimal daily schedule and supports an efficient and healthy lifestyle. The incorporation of an emotion engine further strengthens mental health care and provides a surefire way to reduce users' stress.

[1423] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1424] Step 1:

[1425] Users enter appointments, tasks, and relaxation time

[1426] Users use a web browser or mobile app to enter their schedule, tasks, and relaxation time into the system. The data entered (e.g., "Work from 9 AM to 5 PM, gym for 1 hour from 6 PM, reading for 1 hour from 8 PM") becomes the input for the next processing step.

[1427] Step 2:

[1428] User devices collect emotional data

[1429] The user device uses a built-in camera and microphone to analyze the user's facial expressions and tone of voice in real time to collect emotional data. For example, the camera captures the user's facial expressions to recognize signs of smiles and stress. This collected emotional data serves as input for the system to optimize schedule generation.

[1430] Step 3:

[1431] The user device sends data to the server

[1432] The user device sends the entered schedule, task, and relaxation time data, as well as the collected emotion data, in JSON format to the server using an HTTP POST request. The sent data is then analyzed in the next step.

[1433] Step 4:

[1434] The server analyzes the data

[1435] The server analyzes the received JSON data and extracts the user's input information and emotional data. Specifically, the server extracts the task "Work from 9:00 AM to 5:00 PM" and the emotional information "Stress." The analysis results are used in the next step.

[1436] Step 5:

[1437] The server retrieves information from the database

[1438] The server retrieves the user's past schedule data and mental health information from the database. For example, it retrieves the schedule data from the past week and analyzes how much rest time the user needs. This information becomes the input for generating an optimal schedule.

[1439] Step 6:

[1440] The server generates an optimal schedule

[1441] The server generates an optimal daily schedule based on the user's input information, emotional data, and past schedule data. For example, for a user who is feeling stressed, it generates a schedule with increased rest time. The generated schedule (e.g., "Work from 9:00 AM to 11:00 AM, take a 30-minute break from 11:00 AM, work from 11:30 AM to 12:30 PM, take a 1-hour lunch break from 12:30 PM, work from 1:30 PM to 4:00 PM, take a 1-hour relaxation break from 4:00 PM, and work from 4:30 PM to 5:00 PM") is sent to the next step.

[1442] Step 7:

[1443] The server sends the generated schedule to the user's device.

[1444] The server sends the generated schedule in JSON format to the user's device, allowing the user to immediately receive the new schedule, which will be used for display and notification in the next step.

[1445] Step 8:

[1446] The user's device displays the schedule and notifies them.

[1447] The user device displays the received schedule on the screen and notifies the user at the appropriate time. For example, it displays a notification saying, "It's 11 o'clock. Let's take a 30-minute break." This notification allows the user to execute the new schedule appropriately.

[1448] Step 9:

[1449] User devices monitor emotional states in real time

[1450] The user device uses a built-in camera and microphone to monitor the user's emotional state in real time. Whenever the emotion engine detects a change in the user's emotion, it sends the data to the server, which will then use it in the next step.

[1451] Step 10:

[1452] The server dynamically reschedules

[1453] The server dynamically readjusts the schedule based on real-time emotional data received. For example, if the user feels stressed during an afternoon workday, it will schedule additional rest time. In this way, the schedule is dynamically adjusted to allow the user to perform their tasks optimally.

[1454] (Application example 2)

[1455] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1456] A user's emotional state is a factor that greatly affects the quality of their daily life, but conventional schedule management systems and virtual shopping experiences are unable to take the user's emotional state into account, making it difficult to provide optimal services. For this reason, there is a need to develop a system that can adjust schedules and provide services in virtual stores based on the user's emotions.

[1457] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1458] In this invention, the server includes a means for the user to input plans, tasks, and relaxation time; a means for transmitting the input data to the server; and a means for the server to generate an optimal daily schedule based on the received data. This makes it possible to recognize the user's emotional state and provide optimal schedule adjustments and virtual shopping experiences based on that. The system also includes the following means: a means for recognizing the emotional state by analyzing facial images and voice data, a means for automatically adjusting schedules and product recommendations based on the recognized emotional state, and a means for generating prompt sentences using a generative AI model for the generated schedule and recommendations and providing them to the user. This enables flexible responses based on the user's emotions, contributing to improved service quality.

[1459] "User terminal" refers to a device through which a user inputs appointments, tasks, and relaxation time and receives the generated schedule. This includes smartphones and smart glasses.

[1460] "Server" is a central computing device that analyzes data received from user terminals and generates and provides schedules.

[1461] The "emotion engine" is a system component that analyzes the user's facial images and voice data to recognize their emotional state.

[1462] The "schedule generation means" has the function of creating an optimal daily schedule by taking into consideration the user's plans, tasks, relaxation time, and emotional data.

[1463] The "product recommendation means" has the function of displaying appropriate products and campaign information in a virtual store according to the user's emotional state.

[1464] A "generative AI model" is an artificial intelligence model used to generate appropriate schedules and recommendations based on user input data and emotional data.

[1465] A "prompt" is an instruction entered into a generative AI model to provide appropriate information to the user.

[1466] "Real-time monitoring function" means that the user device has the ability to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as necessary.

[1467] A "head-mounted display" is a display device worn by a user and is used to provide a visual experience in a virtual store.

[1468] "Emotional data" refers to data related to the emotional state obtained by the emotion engine through analysis of the user's facial image and voice.

[1469] System Configuration

[1470] The system for implementing the present invention includes a user terminal, a server, an emotion engine, and communication means therebetween. Each component will be described in detail below.

[1471] User Device

[1472] The user terminal is a device through which users input their plans, tasks, and relaxation time and receive the generated schedule. It can be a smartphone or smart glasses. Users input and transmit information through a dedicated application. Furthermore, the user terminal is equipped with an emotion engine that recognizes the user's emotional state by analyzing facial recognition data and voice data. The user terminal also includes a function to monitor the user's reactions in real time and dynamically adjust schedules and recommendations as needed.

[1473] server

[1474] The server plays a central role in this system, receiving data sent from the user's device and the emotion engine and performing various processes to generate the schedule. The server is connected to a database that stores the user's past schedule data and mental health information, and uses this information to generate an optimal daily schedule. The generated schedule is returned to the user's device in JSON format.

[1475] Emotion Engine

[1476] The emotion engine analyzes the user's facial recognition and voice data to detect their emotional state, allowing the system to understand how the user feels about the system in real time and reflect this in schedules and product recommendations.

[1477] Specifying a program

[1478] The processing of the system program will be explained in natural language below.

[1479] 1. Acquiring and analyzing emotion data:

[1480] The user device analyzes the user's facial image and voice data using emotion recognition software such as Face API to identify their emotional state.

[1481] 2. Data transmission and analysis:

[1482] The schedule, task, relaxation time, and emotion data sent from the user device are sent to the server via HTTP POST requests, and the server analyzes the received data and retrieves the necessary information from the database.

[1483] 3. Generate schedules and recommendations:

[1484] The server generates an optimal daily schedule based on the emotional data and past schedule data, and automatically adjusts product recommendations, including appropriate products and campaign information, in the virtual store based on the user's emotional state.

[1485] 4. Using generative AI models:

[1486] The generative AI model generates appropriate schedules and recommended products based on input data and emotional data. In particular, the generative AI model uses prompts to provide information tailored to the user.

[1487] Specific examples

[1488] For example, if a user inputs schedules and tasks such as "Work from 9 AM to 5 PM, Gym from 6 PM" and the emotion engine analyzes the emotional state as "Sadness," the server will take these into consideration to generate an optimal schedule. Also, in the virtual store, special coupons and relaxation content will be displayed to the user. Examples of prompt sentences include:

[1489] Analyze the user's facial image to obtain emotional data, and generate code to display appropriate product and campaign information based on the dominant emotion. Use the Face API for emotion recognition and JavaScript for display.

[1490] In this way, it is possible to provide a schedule and shopping experience that is optimal for the user. The invention provides a reliable means for providing services flexibly and effectively, taking into account the emotional state of the user.

[1491] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1492] Step 1:

[1493] The user device receives input from the user. Specifically, the user enters their schedule, tasks, and relaxation time through the application interface. This allows the application to store the user's daily plan of action. Input data might include "Work from 9 AM to 5 PM" or "Gym for an hour from 6 PM."

[1494] Step 2:

[1495] The user's device acquires the user's facial image and voice data and sends them to the emotion engine. The emotion engine uses the Face API to analyze the image and voice data and recognize the user's emotional state (e.g., "sadness," "happiness," etc.). The analysis results are acquired as emotion data.

[1496] Step 3:

[1497] The user device sends the acquired schedule, tasks, relaxation time, and emotion data to the server using an HTTP POST request, and the data is passed to the server in JSON format. The server receives this data and analyzes each item.

[1498] Step 4:

[1499] The server generates an optimal daily schedule based on the received data. First, it analyzes the user's schedule, tasks, and relaxation time, and then takes emotional data into consideration. The server retrieves past schedule data and mental health information from a database and synthesizes this data to create the schedule.

[1500] Step 5:

[1501] The server sends the generated schedule to the user's device. The sent schedule is in JSON format, and the user's device receives it. The received data is analyzed and prepared to send notifications at the optimal time for the user.

[1502] Step 6:

[1503] The user's device displays the generated schedule and product recommendations. Based on the user's emotional state, the virtual store displays appropriate products and campaign information. For example, if the user is feeling stressed, relaxation-related products and special coupons will be displayed.

[1504] Step 7:

[1505] The real-time monitoring function allows the user device to continuously monitor the user's reactions. If the emotion engine detects a change in the user's emotional state, it resends the data to the server. The server then dynamically updates the schedule and recommendations based on the new data and resends them to the user device.

[1506] Step 8:

[1507] Prompt text generation using a generative AI model. The server uses the user's emotion data and schedule data to input instructions into the generative AI model and generate prompt text. For example, the prompt text may include something like, "Please analyze the user's facial image to obtain emotion data, and generate code to display appropriate product and campaign information based on the user's primary emotion. Use the Face API for emotion recognition, and use JavaScript for display."

[1508] This allows us to provide a schedule and virtual shopping experience that is optimized to the user's emotions.

[1509] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1510] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1511] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1512] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1513] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1514] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1515] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1516] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1517] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1518] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1519] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1520] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1521] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1522] 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.

[1523] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1524] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1525] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1526] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1527] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1528] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1529] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1530] The following is further disclosed regarding the above embodiment.

[1531] (Claim 1)

[1532] a means for the user to input appointments, tasks, and relaxation time;

[1533] means for transmitting the input data to a server;

[1534] means for the server to generate an optimal daily schedule based on the received data;

[1535] means for transmitting the generated schedule to a user terminal;

[1536] a means for the user terminal to display the generated schedule and notify the user at an appropriate time;

[1537] A system including:

[1538] (Claim 2)

[1539] 2. The system of claim 1, wherein the server generates a daily schedule by taking into account the user's past schedule data and mental health information.

[1540] (Claim 3)

[1541] 10. The system of claim 1, wherein the user terminal includes the capability to monitor user responses in real time and dynamically adjust the schedule as needed.

[1542] "Example 1"

[1543] (Claim 1)

[1544] a means for the user to input appointments, tasks, and relaxation time;

[1545] means for converting the input data into a data format and transmitting the data to a server using a communication protocol;

[1546] means for the server to analyze the received data using a generative AI model to generate an optimal daily schedule;

[1547] means for converting the generated schedule into a data format and transmitting it to a user terminal;

[1548] a means for the user terminal to display the generated schedule and notify the user at an appropriate time;

[1549] A system including:

[1550] (Claim 2)

[1551] The system according to claim 1, wherein the server acquires the user's past schedule data and mental health information from a database and generates a daily schedule taking them into consideration.

[1552] (Claim 3)

[1553] 2. The system according to claim 1, wherein the user terminal includes a function for monitoring user responses in real time, transmitting the data to a server, and dynamically adjusting the schedule as necessary.

[1554] "Application Example 1"

[1555] (Claim 1)

[1556] a means for the user to input appointments, tasks, and relaxation time;

[1557] means for transmitting the input data to a server;

[1558] means for the server to generate an optimal daily schedule based on the received data;

[1559] means for transmitting the generated schedule to a user terminal;

[1560] a means for the user terminal to display the generated schedule and notify the user at an appropriate time;

[1561] A means for suggesting and arranging optimal food delivery services according to the generated schedule;

[1562] a means for notifying the user of an optimal food delivery plan when the user terminal arrives at a designated time;

[1563] A system including:

[1564] (Claim 2)

[1565] 2. The system of claim 1, wherein the server generates a daily schedule by taking into account the user's past schedule data and mental health information.

[1566] (Claim 3)

[1567] 10. The system of claim 1, wherein the user terminal includes the capability to monitor user responses in real time and dynamically adjust schedules and food delivery plans as needed.

[1568] "Example 2: Combining Emotion Engines"

[1569] (Claim 1)

[1570] a means for the user to input appointments, tasks, and relaxation time;

[1571] means for transmitting the input data;

[1572] means for recognizing an emotional state of the terminal;

[1573] means for analyzing the transmitted data and generating an optimal daily plan;

[1574] a means for displaying and notifying the generated plan;

[1575] A system including:

[1576] (Claim 2)

[1577] 2. The system of claim 1, wherein the means for analyzing the received data generates a daily plan taking into account the user's past event data and mental health information.

[1578] (Claim 3)

[1579] 2. The system of claim 1, wherein the device includes a function for monitoring the user's emotional state in real time and dynamically adjusting the plan based on that data.

[1580] "Application example 2 when combining emotion engines"

[1581] (Claim 1)

[1582] a means for the user to input appointments, tasks, and relaxation time;

[1583] means for transmitting the input data to a server;

[1584] means for the server to generate an optimal daily schedule based on the received data;

[1585] means for transmitting the generated schedule to a user terminal;

[1586] a means for the user terminal to display the generated schedule and notify the user at an appropriate time;

[1587] A means for recognizing emotional states by analyzing facial images and voice data;

[1588] means for automatically adjusting schedule and product recommendations based on the recognized emotional state;

[1589] A system including:

[1590] (Claim 2)

[1591] 2. The system of claim 1, wherein the server generates a daily schedule by taking into account the user's past schedule data and mental health information.

[1592] (Claim 3)

[1593] 10. The system of claim 1, wherein the user terminal includes the capability to monitor user responses in real time and dynamically adjust the schedule as needed.

[1594] (Claim 4)

[1595] 2. The system according to claim 1, wherein the system displays appropriate product and campaign information to optimize the shopping experience based on the analysis of the emotional data.

[1596] (Claim 5)

[1597] The system described in claim 1, characterized in that it generates prompt sentences using a generative AI model for the generated schedule and recommendations and provides them to the user. [Explanation of symbols]

[1598] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to input appointments, tasks, and relaxation time; means for transmitting the input data to a server; means for the server to generate an optimal daily schedule based on the received data; means for transmitting the generated schedule to a user terminal; a means for the user terminal to display the generated schedule and notify the user at an appropriate time; A system including:

2. 2. The system of claim 1, wherein the server generates a daily schedule by taking into account the user's past schedule data and mental health information.

3. 10. The system of claim 1, wherein the user terminal includes the capability to monitor user responses in real time and dynamically adjust the schedule as needed.

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