system

Abstract

We provide the system. [Solution] A means for collecting user information and analyzing the user's lifestyle based on that information, A means for setting priorities for each of the multiple goals based on the aforementioned analysis results, A means for generating and presenting an optimal activity plan according to the aforementioned priorities and available time, A means for recording the progress based on the aforementioned activity plan and making adjustments in real time, A means of providing feedback and advice based on progress, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, it is common for an individual to pursue multiple goals simultaneously, but it is not easy to efficiently achieve goals within limited time and resources. Many people cannot well adjust their daily schedules and the priorities of each goal, and often some goals remain unfulfilled. Therefore, there is a need for a technology that can efficiently manage multiple goals, monitor progress, and provide appropriate feedback and adjustment.

Means for Solving the Problems

[0005] This invention provides a means for collecting user information and analyzing lifestyles based on that information. Based on this analysis, it is possible to set priorities for multiple goals and generate an optimal activity plan that takes into account available time. Furthermore, it has means for recording the progress of the activity plan in real time and adjusting the plan as needed. In addition, it supports users in efficiently achieving their goals by providing feedback and advice according to their progress.

[0006] "User information" refers to personal data that users provide to the system, including goals, daily schedules, and activity logs.

[0007] "Lifestyle" refers to the overall activities and habits that an individual user engages in on a daily basis, including how they spend their time and their behavioral patterns.

[0008] "Priority" refers to the criteria used to determine the order in which multiple goals or tasks are carried out, based on their importance and urgency.

[0009] An "activity plan" refers to a schedule of tasks and actions necessary to achieve the goals set by the user, and includes specific time allocation and progress management.

[0010] "Progress status" is an indicator that shows the degree to which the user has achieved their set goals, and is used to understand which stage of the plan they are currently in.

[0011] "Real-time adjustment" refers to a process that instantly modifies the activity plan in response to changes in the user's situation.

[0012] "Feedback" refers to information used to provide improvement suggestions and encouragement based on an analysis of user behavior and progress.

[0013] "Advice" refers to specific guidelines and suggestions provided by the system to help achieve goals. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] The present invention provides an AI-based tool that optimizes activity plans for users to achieve their goals. This system supports efficient goal achievement through the collection of user information, analysis of lifestyle, prioritization, generation of activity plans, recording and adjustment of progress, and provision of feedback and advice.

[0036] The server receives goal information and daily schedule data entered by users and stores it in a database. Based on the stored information, the server uses advanced analytical algorithms to evaluate each user's lifestyle. This evaluation process analyzes daily activity patterns, energy levels, and available time, and determines priorities for multiple goals.

[0037] The server then creates an optimal activity plan based on the generated priorities. This activity plan includes a detailed schedule to maximize the use of the user's free time and efficiently achieve their goals. The generated plan is customized for each user, including actions specific to their individual goals.

[0038] The device presents this activity plan to the user. The presented schedule includes specific task details, start and end times, and is designed to be easy to understand and follow. Users are expected to perform their daily tasks according to the presented plan.

[0039] Feedback and progress from completed tasks are sent to the server in real time. The server analyzes this data and adjusts the activity plan as needed. These adjustments are made to accommodate unpredictable changes in the schedule and to ensure that users can pursue their goals without undue stress.

[0040] Furthermore, this system provides users with personalized feedback and advice based on their progress. For example, users aiming to obtain a certification will receive advice on time management and recommendations for efficient learning methods. In this way, users can improve and optimize their actions toward achieving their goals with appropriate support.

[0041] As a concrete example, consider user B, who has two goals: "obtaining a qualification" and "improving health." The server analyzes B's lifestyle and creates a schedule that allocates time for focused qualification study on weekdays and time for exercise on weekends. The terminal visually displays this schedule to B and specifically presents the tasks to be accomplished. Following this plan, B records their daily activities, and the server adjusts the plan sequentially according to the progress, ultimately achieving their goals of obtaining the qualification and improving their health.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] Users enter their individual goals into the system, setting priorities, deadlines, and daily time allocations for each goal. This includes entering work and school schedule information.

[0045] Step 2:

[0046] The terminal collects and accurately records information entered by the user in real time. The collected data is sent to a server. The terminal's interface is designed to make it easy for users to input information.

[0047] Step 3:

[0048] The server automatically stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle. This analysis allows for an understanding of each user's behavioral patterns and how they spend their time.

[0049] Step 4:

[0050] Based on the analysis results, the server sets priorities for each objective and generates a task schedule accordingly. The schedule is designed to maximize the use of the user's free time and energy levels.

[0051] Step 5:

[0052] The server sends the generated schedule to the terminal, presenting the user with a comprehensive activity plan. This schedule details specific tasks, their scheduled start and end times.

[0053] Step 6:

[0054] Users perform daily tasks based on the provided schedule. Task completion status is recorded on the device and sent to the server as progress information.

[0055] Step 7:

[0056] The server monitors progress data in real time and evaluates whether the plan is proceeding as expected. If necessary, it adjusts the activity plan and immediately sends the changed schedule to the terminal.

[0057] Step 8:

[0058] The server generates personalized advice based on progress and user feedback. This advice is delivered to the user via their device, suggesting areas for improvement and optimization to achieve their goals.

[0059] This series of processes allows users to efficiently pursue multiple goals.

[0060] (Example 1)

[0061] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0062] In modern society, many people lead busy lives while pursuing diverse goals. In this context, there is a need for a system that supports individuals in efficiently achieving their set goals. Traditional methods have struggled to flexibly adjust plans to accommodate individual priorities and lifestyle differences. Furthermore, real-time feedback and adjustment functions based on progress are insufficient. To address this challenge, there is a need for a system that generates optimal activity plans tailored to each user and uses them to support effective goal achievement.

[0063] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0064] In this invention, the server includes means for collecting user information via input means and analyzing the user's lifestyle patterns based on that information; means for determining the priority of multiple objectives based on the analysis results; and means for forming an efficient activity plan according to the priorities and available time slots, and presenting it as visual information. This makes it possible to optimize the goals set by the user to suit their individual lifestyle and provide a concrete and adjustable activity plan toward achieving those goals.

[0065] "User information" refers to personal data and attributes provided by users in order to achieve their goals, including information about their lifestyle patterns and schedules.

[0066] "Lifestyle patterns" refer to the tendencies of the user's daily activities and habits, and include activity time and energy levels.

[0067] "Priority" refers to determining the relative importance and necessity of multiple goals or tasks, and it indicates the order in which goals are achieved or the priority of efforts.

[0068] An "activity plan" is a schedule of specific actions and tasks aimed at achieving the user's goals, including time allocation and task content.

[0069] "Visual information" refers to information presented to users through a device, in a format that clearly displays activity plans and task contents.

[0070] "Feedback" refers to providing evaluations and advice on users' actions and progress, enabling them to make adjustments and improvements toward achieving their goals.

[0071] This system combines multiple technologies to efficiently support users in achieving their goals. Its specific form is described below.

[0072] The server stores the information collected from users in a database and performs analysis. In this step, machine learning algorithms (e.g., linear regression, decision trees) are used to perform analysis using programming languages ​​such as Python or R. This evaluates the user's lifestyle patterns and determines priorities for achieving their goals. Large amounts of data may be used in the analysis to reduce uncertainty and improve accuracy.

[0073] The server generates an activity plan optimized to each user's individual lifestyle. It utilizes scheduling algorithms to create a plan that enables efficient time management. Furthermore, the generated plan can be integrated into the user's calendar using services such as the Google® Calendar API.

[0074] The device presents the generated activity plan to the user as visual information. This interface utilizes UI frameworks such as React Native and Flutter®, and features a user-friendly design. Users can easily review their daily tasks in a visually clear format.

[0075] Users perform daily tasks according to the presented activity plan. Feedback is entered via the terminal and sent to the server. This feedback information is used to flexibly adjust the plan. The server uses generative AI models such as TENSORFLOW® to adjust the plan in real time and continuously provide appropriate feedback to the user.

[0076] For example, if a user enters a prompt such as, "Please suggest a schedule that maximizes the efficiency of daily life while aiming to acquire a qualification. Weekdays should be dedicated to studying, and weekends should include relaxation and physical activities," the system will generate an optimized plan based on this request and present it to the user. In this way, the system enables efficient and effective goal achievement by providing support tailored to the individual needs of the user.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The server receives goal information and daily schedule data from the user as input. The input data is stored in a database. Specific data includes goal type, priority, and time constraints. This data forms the basis for analyzing lifestyle patterns.

[0080] Step 2:

[0081] The server analyzes the user's lifestyle patterns using stored data. Using a Python machine learning library, it analyzes trends in daily rhythms and energy levels from the received data. This analysis determines priorities linked to goals, and the results are output. This output is then used to generate subsequent activity plans.

[0082] Step 3:

[0083] The server generates an optimal activity plan using the analysis results as input. A scheduling algorithm is used to create appropriate task allocations and timetables. The generated plan includes specific task details and time allocations, and is output in a user-friendly format. This provides the user with an efficient approach to achieving their goals.

[0084] Step 4:

[0085] The terminal presents the generated activity plan to the user. The input here is activity plan data from the server. The terminal displays the plan through a visually organized UI, providing output that allows the user to easily review tasks. The UI facilitates user interaction with the plan through haptic feedback.

[0086] Step 5:

[0087] Users perform tasks according to the provided activity plan and input their progress into a terminal. The input data includes task completion status, time taken, and feedback comments. This information is sent to the server and used as the basis for updating the plan.

[0088] Step 6:

[0089] The server analyzes user feedback and adjusts the activity plan as needed. It utilizes a generative AI model to output a new plan tailored to the changed situation. This process ensures that the plan is appropriately optimized according to the user's needs.

[0090] Step 7:

[0091] The server generates personalized feedback and advice based on the user's progress and delivers it via the terminal. This personalized approach utilizes machine learning predictive models, and the suggestions provided are output as advice to help users efficiently complete tasks. This allows users to further improve and optimize their performance.

[0092] (Application Example 1)

[0093] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0094] In modern urban life, creating efficient activity plans based on individual activities and goal setting is extremely challenging. Users need to manage their health, improve their skills, and adapt to fluctuating traffic conditions while managing many tasks within limited time and resources. However, current planning tools struggle to dynamically update plans that adequately consider the external environment and individual lifestyles, hindering efficient goal achievement.

[0095] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0096] In this invention, the server includes means for collecting and analyzing user information, means for setting priorities for multiple goals, means for generating and presenting an optimal activity plan, means for dynamically updating the activity plan based on external environment data, and means for suggesting the optimal route and activity content based on the user's location information and time of day. This enables urban dwellers to easily execute dynamic activity plans optimized for the external environment and efficiently achieve their goals.

[0097] "User information" refers to information that includes various data about a specific user, and serves as the basic data for generating activity plans.

[0098] "Lifestyle" refers to an individual's daily actions and habits, as well as their patterns of behavior and time allocation.

[0099] Prioritization is the process of ranking multiple goals or tasks based on their importance and urgency.

[0100] An "activity plan" refers to a detailed schedule that optimizes the actions necessary for the user to achieve their goals.

[0101] "Progress" is an indicator that shows how many tasks have been completed in relation to the set activity plan.

[0102] "External environmental data" refers to dynamic environmental information surrounding the user, such as weather, traffic conditions, and time of day.

[0103] "Location information" refers to data that indicates the user's current location and is used to optimize activity plans.

[0104] A "route" refers to the optimal path from a given point to a destination, and is intended to support the user's travel.

[0105] In this application, the system is provided as an application that runs on smartphones or smart glasses. The server collects user information and analyzes each user's lifestyle based on that information. The analyzed data is used with machine learning frameworks such as TensorFlow and PyTorch to set priorities for each goal.

[0106] Based on user priorities, the server generates an optimal activity plan and presents it to the user's terminal. This activity plan includes the start and end times of activities, as well as specific actions, enabling users to smoothly carry out their daily tasks.

[0107] Furthermore, the server acquires external environmental data in real time and dynamically updates the activity plan. This includes traffic information, weather information, and other changes in the surrounding environment. It proposes the optimal route and activities considering the user's location and travel time.

[0108] For example, if a user sets obtaining a certification and maintaining their health as their goals, the server will generate a schedule that focuses on certification learning during weekdays and incorporates health maintenance activities on weekends. When the user is traveling, the system will utilize optimal traffic information to help them carry out their activities smoothly.

[0109] An example of a prompt for a generative AI model would be an instruction such as, "Suggest the optimal route and training plan for the user to efficiently get to the gym." This would result in an effective activity plan that helps the user achieve their goals.

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The server collects user information. It receives user profile and daily schedule data transmitted from smartphones and smart glasses as input. This data is stored in a database and prepared for analysis. The output is user information organized in a format suitable for analysis.

[0113] Step 2:

[0114] The server analyzes the user's lifestyle. It receives user information collected in Step 1 as input. Based on this information, it uses TensorFlow and PyTorch to analyze daily activity patterns and available time. The output is the analysis result showing the user's lifestyle pattern.

[0115] Step 3:

[0116] The server sets priorities for the goals based on the analysis results. The input is the analysis results obtained in step 2. Multiple goals are evaluated through data analysis, and priorities are determined based on their importance. The output is a list of priorities for each goal.

[0117] Step 4:

[0118] The server generates an optimal activity plan and presents it to the terminal. Priorities and the user's available time are considered as input. An efficient activity plan is created using a generation AI model. The output is a specific, customized schedule for each user.

[0119] Step 5:

[0120] The terminal presents the user with the generated activity plan. The input is the activity plan received from the server in step 4. By displaying it visually and clearly on the screen, the user can easily understand and implement it. The output is the plan screen displayed to the user.

[0121] Step 6:

[0122] The server records progress and adjusts the activity plan in real time. It receives data on tasks performed by the user and external environment data as input. It considers traffic information, weather, etc., and updates the schedule as needed. The output is the latest activity plan.

[0123] Step 7:

[0124] The server generates and provides feedback and advice to the terminal based on the progress. The input consists of progress data and analysis results. A generation AI model is used to identify advice suitable for the user, which is then made available for viewing on the terminal. The output is the feedback and advice displayed to the user.

[0125] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0126] The present invention combines an AI-based tool that provides users with activity plans to efficiently achieve their goals with an emotion engine. This system supports users through information gathering, analysis of lifestyle and emotions, generation of activity plans, progress management, and provision of feedback.

[0127] The server collects data on user-defined goals, schedules, and emotional states, and stores it in a database. This data collection process incorporates an emotion engine that recognizes the user's emotional state from their facial expressions and voice. The emotion engine analyzes the collected data in real time to identify the user's emotions.

[0128] Based on the results obtained, the server analyzes the user's lifestyle and emotions and sets priorities for each goal. These priorities are intended to clarify which goals the user should focus on and are adjusted as needed, taking into account their emotional state.

[0129] The server then generates and presents an optimal activity plan based on priorities. This plan maximizes the use of available time while incorporating content that addresses the user's emotional state. In particular, if negative emotions are detected, the plan may include activities that promote a shift towards positive emotions.

[0130] The terminal visualizes and presents an activity plan to the user based on instructions from the server. The user follows this plan and performs daily tasks, recording feedback each time a task is completed according to the plan.

[0131] As the user progresses through their activities, the emotion engine continues to monitor their emotional state. The server comprehensively evaluates the emotional state and task progress, dynamically adjusting the activity plan if there are significant deviations from the schedule or if negative emotions persist. The adjusted new plan is more realistic and includes elements that help promote emotional stability.

[0132] Furthermore, the server generates feedback and advice based on progress and emotional data. This advice provides users with mental and physical support, facilitating goal achievement.

[0133] As a specific example, in a case where user C sets "career advancement" and "stress management" as goals, the emotional engine detects C's stress level and, if high stress persists, generates a plan recommending rest and relaxation. By following the daily plan and progressing as planned, C achieves both their goals and reduces stress. Feedback is provided throughout, allowing C to steadily progress towards their career goals while remaining relaxed.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] Users set goals on an information input screen, prioritize each goal, and input how much time they will allocate to achieve them into the system. Furthermore, the system provides daily schedule information.

[0137] Step 2:

[0138] The device collects goal information and schedules entered by the user in real time and sends them to the server. At the same time, it recognizes the user's emotional state by sending facial expressions and voice data to the emotion engine.

[0139] Step 3:

[0140] The server stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle and emotional state. The results of this analysis reveal the user's behavioral patterns and emotional tendencies.

[0141] Step 4:

[0142] The server prioritizes each goal based on the analysis results. Emotional data is then considered, and a more user-friendly plan is developed that includes activities to enhance positive emotions.

[0143] Step 5:

[0144] The server generates an optimal activity plan based on priorities and available time. This plan incorporates alternatives for uncompleted tasks, as well as relaxation and breaks to stabilize emotions.

[0145] Step 6:

[0146] The device visualizes and presents the generated activity plan to the user. The plan includes specific tasks corresponding to each goal, recommended start and end times, and activities related to emotional care.

[0147] Step 7:

[0148] The user performs tasks based on the presented plan. During the activity, feedback is added to the task completion status recorded on the device and the emotional state detected by the emotion engine.

[0149] Step 8:

[0150] The server analyzes progress and sentiment data in real time to assess whether the current plan is working effectively. If necessary, it automatically adjusts the plan and sends a new plan reflecting the changes to the terminal.

[0151] Step 9:

[0152] The server generates feedback and advice based on the analysis results and provides it to the user through the terminal. This advice includes an emotional approach and supports the user in achieving their goals while maintaining their motivation.

[0153] (Example 2)

[0154] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0155] In modern society, many individuals seek concrete action plans to efficiently achieve multiple goals, but adjusting these plans to accommodate their own emotional states is a challenging task. Conventional planning support systems often fail to adequately reflect users' emotions, resulting in decreased motivation and unrealistic plans. Therefore, there is a need for a system that analyzes emotional states in real time and provides flexible plans tailored to the specific needs of users.

[0156] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0157] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results and adjusting them while taking the emotional state into consideration; and means for generating and presenting an optimal activity plan that takes the user's emotions into consideration, according to the priorities and available time. This enables the automatic generation of a flexible and realistic activity plan that reflects the user's emotional state and provides effective support for achieving goals.

[0158] "User information" refers to data about individual goals, schedules, and personal lives that users provide to the system in order to achieve their objectives.

[0159] "Lifestyle" refers to a user's daily habits, activities, and behavioral patterns, and is an element that is considered when planning for achieving goals.

[0160] "Emotional state" refers to data that represents the type and intensity of emotions a user exhibits at a particular time, and is an important element in adjusting activity plans.

[0161] "Priority" is an indicator used to identify the most important and urgent goals for the user from among multiple objectives, and to determine the order in which they should be tackled.

[0162] An "activity plan" is a plan that includes specific action steps and tasks to achieve the goals set by the user, and is generated taking into account available time and emotional state.

[0163] "Feedback" refers to information that provides evaluations and advice about the user's progress and status in their activities, and guides them toward their next actions.

[0164] An "emotion engine" is a technology that collects and analyzes emotional data from the user's facial expressions, voice, etc., to recognize their current emotional state.

[0165] This invention is a system that analyzes the user's lifestyle and emotional state to generate an optimal activity plan in order to efficiently and effectively achieve the goals set by the user. This system is mainly composed of three elements: a server, a terminal, and the user.

[0166] Server Role

[0167] The server is the central hardware for collecting and analyzing user information and emotional data. It incorporates a generative AI model and an emotion engine, which are used to evaluate the user's lifestyle and emotional state. The emotion engine analyzes facial expressions and voices obtained from the user via camera and microphone, recognizing the emotional state in real time. Based on these results, the server sets goal priorities and generates an activity plan that takes the emotional state into account. Typical software used includes Python and machine learning libraries such as TensorFlow.

[0168] Terminal role

[0169] A terminal is a device that visually presents the activity plan generated on the server to the user. The terminal is equipped with a user interface for displaying the plan's schedule and task list, which the user uses to plan their daily activities. Smartphones, tablets, and computers can be used as terminals.

[0170] User roles

[0171] The user is the entity that takes concrete actions to achieve each goal based on the activity plan presented on the device. The user executes tasks according to the plan and inputs their progress into the device. This information is sent to the server and further provided to the user as feedback. During this process, the user's emotional state is detected again, and the activity plan is adjusted in real time as needed.

[0172] For example, if a user sets "career advancement" and "health management" as goals, the server will use an emotion engine to monitor the user's stress level and support stress management by including relaxation activities in the plan. An example of a prompt in this case would be, "Based on the goals set by the user, please have the emotion engine analyze the user's emotions and generate an optimal activity plan." This prompt is sent to the generation AI model and acts as a trigger for activity plan generation.

[0173] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0174] Step 1:

[0175] Users input their goals through their device. This input data includes specific goals such as "career advancement" or "health management." The device sends this data to the server, which receives the user's goal information.

[0176] Step 2:

[0177] The server uses an emotion engine to collect and analyze emotional data in real time based on goal information sent by the user. Specifically, the server analyzes the user's facial expressions and voice obtained from the camera and microphone to identify the user's emotional state. The input here is facial expression data and voice data, and the output is the classification result of the user's emotional state.

[0178] Step 3:

[0179] The server uses a generative AI model to analyze the user's goal information and emotional state, and then performs a process of setting priorities for those goals. The input is goal information and emotional state data, and the output is a priority list for each goal. This operation creates a foundation for the server to show the user which goals they should focus on.

[0180] Step 4:

[0181] The server generates an optimal activity plan based on priorities, taking into account emotional states. It uses a priority list and available time data as input and generates a plan with specific activity steps as output. For example, if stress levels are high, relaxation activities might be added.

[0182] Step 5:

[0183] The terminal presents the user with an activity plan received from the server. This includes specific actions such as visualizing the plan and displaying it in the form of a calendar or task list. The user plans and executes their daily activities based on this display. The input is the activity plan from the server, and the output is the provision of visual information to the user.

[0184] Step 6:

[0185] The user performs each task based on the presented activity plan and inputs the progress into the terminal. The terminal sends this information to the server, where it is recorded as progress data. The input is the user's actual activity data, and the output is updated progress data.

[0186] Step 7:

[0187] The server evaluates progress data while continuously monitoring emotions using an emotion engine. It adjusts the plan in real time as needed. This involves specific actions that use real-time emotion and progress data as input and generate a new, adjusted action plan as output.

[0188] Step 8:

[0189] The server provides users with feedback and advice generated based on progress and sentiment data. This allows users to receive specific guidance and advice for the next steps. The input is the evaluated data, and the output is the feedback and advice provided. This process helps users to achieve their goals.

[0190] (Application Example 2)

[0191] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0192] In modern life, many people have multiple goals but struggle to manage and achieve them effectively. Furthermore, stress and negative emotions in daily life hinder goal achievement. To address these issues, it is necessary to provide activity plans that take emotional states into account, along with continuous emotional monitoring and feedback.

[0193] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0194] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results; and means for generating and presenting an optimal activity plan that takes the user's emotional state into consideration, according to the priorities and available time. This makes it possible for the user to efficiently achieve their goals based on an optimal activity plan that takes their emotional state into consideration.

[0195] "User information" refers to data such as the user's lifestyle, goals, and emotional state.

[0196] "Emotional state" refers to data that indicates the user's psychological and emotional state, and is identified from facial expressions, voice, and other similar information.

[0197] An "activity plan" refers to an optimal task schedule for achieving the user's goals, and its execution is set taking into account the user's lifestyle and available time.

[0198] "Priority" refers to a numerical or other criterion used to determine the importance of multiple goals, and serves as a standard for indicating which goals users should prioritize.

[0199] "Feedback" refers to guidelines and evaluations provided to users based on the progress of their activity plan and their emotional state, with the aim of improving their goal achievement.

[0200] A "server" refers to a computing system that processes data, generates analysis results and activity plans, and provides them to users.

[0201] The system implementing this invention consists primarily of a server, a terminal, and user interaction. The server collects user information and analyzes their lifestyle and emotional state. The hardware uses a computer system for data processing, and the software implements emotion analysis using machine learning libraries such as TensorFlow. Based on these analysis results, the server prioritizes multiple goals and generates an optimal activity plan.

[0202] The terminal is responsible for visually presenting the activity plan provided by the server to the user and receiving user feedback in real time. It also records the progress of the activity plan. A Raspberry Pi or similar processor is used here, and it interacts with the user via its built-in display and microphone.

[0203] Users perform tasks according to an activity plan presented through their device and provide feedback. The user's emotional state is monitored via the device's camera and microphone, and the server dynamically adjusts the activity plan based on this data. This supports users in achieving their goals while maintaining emotional stability.

[0204] For example, if a user sets "maintaining health" and "stress management" as their goals, the system will analyze the user's stress level and suggest appropriate activities. When negative emotions persist, it can recommend activities such as "going for a walk" or "listening to relaxation music."

[0205] An example of a prompt to the generating AI model is, "Evaluate whether the user-set goal is achievable based on their emotional state, and make any necessary adjustments." This prompt allows the AI ​​to generate an activity plan that is optimal for the user's situation, thereby improving the user's experience.

[0206] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0207] Step 1:

[0208] The server collects user information. Input includes the user's lifestyle, goals, and emotional state (facial expressions, voice, etc.). Based on this, the server uses an emotion engine to analyze the emotional state and record it in a lifestyle database. The output consists of the analyzed emotional data and lifestyle information. Specifically, data is collected using a camera and microphone, and then analyzed using a TensorFlow model.

[0209] Step 2:

[0210] The server prioritizes multiple goals based on the collected data. This step uses analyzed emotional data and lifestyle information as input. Data calculations evaluate the importance of each goal and output a numerical priority. The priority is dynamically set based on the user's emotions and the likelihood of achieving the goals.

[0211] Step 3:

[0212] The server generates an optimal activity plan that takes into account available time and emotional state, based on the set priorities. The inputs are priorities and lifestyle schedule information. An optimization algorithm is executed using a generation AI model, and the activity plan is generated as output. Specifically, the AI ​​adjusts the schedule to ensure the user's time is used effectively.

[0213] Step 4:

[0214] The terminal presents the generated activity plan to the user. The activity plan received from the server is the input, which the terminal visualizes and displays. The output is user feedback and progress information. The terminal utilizes its display and voice assistant to communicate the plan clearly.

[0215] Step 5:

[0216] The user performs tasks according to the presented activity plan. During this process, the device monitors the user's progress and emotional state. Inputs include task progress as planned and emotional data, while output provides progress status and real-time emotional changes. Specifically, feedback forms and facial expression analysis functions are used.

[0217] Step 6:

[0218] The server readjusts the activity plan based on progress and sentiment data. At this stage, the input is real-time updated progress and sentiment data. Through data processing and calculations, if the plan needs to be modified, an adjusted plan is output. This enables dynamic plan updates that facilitate goal achievement while maintaining user sentiment stability.

[0219] Step 7:

[0220] The terminal provides the user with feedback and advice from the server. The input is the adjusted activity plan and advice, and the output is obtained by presenting this to the user. Specifically, the feedback is conveyed through the terminal as audio or visual information.

[0221] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0222] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0223] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0224] [Second Embodiment]

[0225] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0226] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0227] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0228] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0229] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0230] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0231] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0232] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0233] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0234] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0235] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0236] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0237] The present invention provides an AI-based tool that optimizes activity plans for users to achieve their goals. This system supports efficient goal achievement through the collection of user information, analysis of lifestyle, prioritization, generation of activity plans, recording and adjustment of progress, and provision of feedback and advice.

[0238] The server receives goal information and daily schedule data entered by users and stores it in a database. Based on the stored information, the server uses advanced analytical algorithms to evaluate each user's lifestyle. This evaluation process analyzes daily activity patterns, energy levels, and available time, and determines priorities for multiple goals.

[0239] The server then creates an optimal activity plan based on the generated priorities. This activity plan includes a detailed schedule to maximize the use of the user's free time and efficiently achieve their goals. The generated plan is customized for each user, including actions specific to their individual goals.

[0240] The device presents this activity plan to the user. The presented schedule includes specific task details, start and end times, and is designed to be easy to understand and follow. Users are expected to perform their daily tasks according to the presented plan.

[0241] Feedback and progress from completed tasks are sent to the server in real time. The server analyzes this data and adjusts the activity plan as needed. These adjustments are made to accommodate unpredictable changes in the schedule and to ensure that users can pursue their goals without undue stress.

[0242] Furthermore, this system provides users with personalized feedback and advice based on their progress. For example, users aiming to obtain a certification will receive advice on time management and recommendations for efficient learning methods. In this way, users can improve and optimize their actions toward achieving their goals with appropriate support.

[0243] As a concrete example, consider user B, who has two goals: "obtaining a qualification" and "improving health." The server analyzes B's lifestyle and creates a schedule that allocates time for focused qualification study on weekdays and time for exercise on weekends. The terminal visually displays this schedule to B and specifically presents the tasks to be accomplished. Following this plan, B records their daily activities, and the server adjusts the plan sequentially according to the progress, ultimately achieving their goals of obtaining the qualification and improving their health.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] Users enter their individual goals into the system, setting priorities, deadlines, and daily time allocations for each goal. This includes entering work and school schedule information.

[0247] Step 2:

[0248] The terminal collects and accurately records information entered by the user in real time. The collected data is sent to a server. The terminal's interface is designed to make it easy for users to input information.

[0249] Step 3:

[0250] The server automatically stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle. This analysis allows for an understanding of each user's behavioral patterns and how they spend their time.

[0251] Step 4:

[0252] Based on the analysis results, the server sets priorities for each objective and generates a task schedule accordingly. The schedule is designed to maximize the use of the user's free time and energy levels.

[0253] Step 5:

[0254] The server sends the generated schedule to the terminal, presenting the user with a comprehensive activity plan. This schedule details specific tasks, their scheduled start and end times.

[0255] Step 6:

[0256] Users perform daily tasks based on the provided schedule. Task completion status is recorded on the device and sent to the server as progress information.

[0257] Step 7:

[0258] The server monitors progress data in real time and evaluates whether the plan is proceeding as expected. If necessary, it adjusts the activity plan and immediately sends the changed schedule to the terminal.

[0259] Step 8:

[0260] The server generates personalized advice based on progress and user feedback. This advice is delivered to the user via their device, suggesting areas for improvement and optimization to achieve their goals.

[0261] This series of processes allows users to efficiently pursue multiple goals.

[0262] (Example 1)

[0263] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0264] In modern society, many people lead busy lives while pursuing diverse goals. In this context, there is a need for a system that supports individuals in efficiently achieving their set goals. Traditional methods have struggled to flexibly adjust plans to accommodate individual priorities and lifestyle differences. Furthermore, real-time feedback and adjustment functions based on progress are insufficient. To address this challenge, there is a need for a system that generates optimal activity plans tailored to each user and uses them to support effective goal achievement.

[0265] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0266] In this invention, the server includes means for collecting user information via input means and analyzing the user's lifestyle patterns based on that information; means for determining the priority of multiple objectives based on the analysis results; and means for forming an efficient activity plan according to the priorities and available time slots, and presenting it as visual information. This makes it possible to optimize the goals set by the user to suit their individual lifestyle and provide a concrete and adjustable activity plan toward achieving those goals.

[0267] "User information" refers to personal data and attributes provided by users in order to achieve their goals, including information about their lifestyle patterns and schedules.

[0268] "Lifestyle patterns" refer to the tendencies of the user's daily activities and habits, and include activity time and energy levels.

[0269] "Priority" refers to determining the relative importance and necessity of multiple goals or tasks, and it indicates the order in which goals are achieved or the priority of efforts.

[0270] An "activity plan" is a schedule of specific actions and tasks aimed at achieving the user's goals, including time allocation and task content.

[0271] "Visual information" refers to information presented to users through a device, in a format that clearly displays activity plans and task contents.

[0272] "Feedback" refers to providing evaluations and advice on users' actions and progress, enabling them to make adjustments and improvements toward achieving their goals.

[0273] This system combines multiple technologies to efficiently support users in achieving their goals. Its specific form is described below.

[0274] The server stores the information collected from users in a database and performs analysis. In this step, machine learning algorithms (e.g., linear regression, decision trees) are used to perform analysis using programming languages ​​such as Python or R. This evaluates the user's lifestyle patterns and determines priorities for achieving their goals. Large amounts of data may be used in the analysis to reduce uncertainty and improve accuracy.

[0275] The server generates an activity plan optimized to each user's individual lifestyle. It utilizes scheduling algorithms to create a plan that enables efficient time management. Furthermore, the generated plan can be integrated into the user's calendar using APIs such as Google Calendar.

[0276] The device presents the generated activity plan to the user as visual information. This interface utilizes UI frameworks such as React Native and Flutter, and features a user-friendly design. Users can easily review their daily tasks in a visually clear format.

[0277] The user carries out daily tasks according to the presented activity plan. Feedback is input through the terminal and sent to the server. This feedback information is used for flexible adjustment of the plan. The server uses a generative AI model such as TensorFlow to adjust the plan in real time and continue to provide appropriate feedback to the user.

[0278] For example, when the user inputs a prompt such as "Please propose a schedule to maximize the efficiency of daily life while aiming to obtain a qualification. Devote yourself to learning on weekdays and include relaxation and physical activities on weekends.", the system generates an optimized plan based on this request and presents it to the user. In this way, this system enables efficient and effective goal achievement by providing support according to the individual needs of the user.

[0279] The flow of the specific process in Example 1 will be described using FIG. 11.

[0280] Step 1:

[0281] The server receives target information and daily schedule data from the user as inputs. The input data is stored in the database. Specific data includes the type of goal, priority, time constraints, etc. Based on this data, a foundation for analyzing the user's lifestyle pattern is established.

[0282] Step 2:

[0283] The server analyzes the user's lifestyle pattern using the stored data. Using a machine learning library in Python, trends in the rhythm of life and energy levels are analyzed from the received data. Based on this analysis, priorities linked to the goal are determined, and the analysis results are output. The output is used for subsequent generation of the activity plan.

[0284] Step 3:

[0285] The server generates an optimal activity plan using the analysis results as input. An appropriate task arrangement and schedule are created using a scheduling algorithm. The generated plan includes specific task content and time allocation and is output in a form executable by the user. This provides an efficient approach to the user's goals.

[0286] Step 4:

[0287] The terminal presents the generated activity plan to the user. The input here is the activity plan data from the server. The terminal displays the plan via a visually configured UI and provides an output that allows the user to easily check the tasks. The UI enables the user to easily manipulate the plan through tactile interaction.

[0288] Step 5:

[0289] The user executes the tasks according to the presented activity plan and inputs the progress to the terminal. The data input includes the completion status of the tasks, the time required, feedback comments, etc. This information is sent to the server and used as the basic data for updating the plan.

[0290] Step 6:

[0291] The server analyzes the feedback from the user and adjusts the activity plan as necessary. It utilizes a generated AI model to output a new plan proposal that adapts to the changed situation. This operation appropriately optimizes the plan according to the user's needs.

[0292] Step 7:

[0293] The server generates individual feedback and advice based on the user's progress and provides it via the terminal. This personalized response uses a prediction model of machine learning, and the suggestions provided are output as advice to assist in efficient task achievement. This enables the user to further improve and optimize.

[0294] (Application Example 1)

[0295] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0296] In modern urban life, creating efficient activity plans based on individual activities and goal setting is extremely challenging. Users need to manage their health, improve their skills, and adapt to fluctuating traffic conditions while managing many tasks within limited time and resources. However, current planning tools struggle to dynamically update plans that adequately consider the external environment and individual lifestyles, hindering efficient goal achievement.

[0297] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0298] In this invention, the server includes means for collecting and analyzing user information, means for setting priorities for multiple goals, means for generating and presenting an optimal activity plan, means for dynamically updating the activity plan based on external environment data, and means for suggesting the optimal route and activity content based on the user's location information and time of day. This enables urban dwellers to easily execute dynamic activity plans optimized for the external environment and efficiently achieve their goals.

[0299] "User information" refers to information that includes various data about a specific user, and serves as the basic data for generating activity plans.

[0300] "Lifestyle" refers to an individual's daily actions and habits, as well as their patterns of behavior and time allocation.

[0301] Prioritization is the process of ranking multiple goals or tasks based on their importance and urgency.

[0302] The "activity plan" refers to a detailed schedule that optimizes the actions necessary for the user to achieve their goals.

[0303] The "progress status" is an indicator that shows how many tasks have been executed for the set activity plan.

[0304] The "external environment data" refers to dynamic environmental information around the user, such as weather, traffic conditions, time, etc.

[0305] The "location information" is data that indicates the user's current location and is used for optimizing the activity plan.

[0306] The "route" refers to the optimal path from a certain point to the destination and supports the user's movement.

[0307] In this application example, the system is provided as an application that operates on smartphones or smart glasses. The server collects user information and analyzes the lifestyle of each user based on that information. The analyzed data is utilized to set priorities for each goal using machine learning frameworks such as TensorFlow and PyTorch.

[0308] Based on the user's priorities, the server generates an optimal activity plan and presents it to the user's terminal. This activity plan includes the start time, end time, and specific actions of the activity, enabling the user to smoothly execute daily tasks.

[0309] Furthermore, the server obtains external environment data in real time and dynamically updates the activity plan. This includes traffic information, weather information, and other surrounding environmental changes. Considering the user's location information and travel time, it proposes an optimal route and activity content.

[0310] For example, if a user sets obtaining a certification and maintaining their health as their goals, the server will generate a schedule that focuses on certification learning during weekdays and incorporates health maintenance activities on weekends. When the user is traveling, the system will utilize optimal traffic information to help them carry out their activities smoothly.

[0311] An example of a prompt for a generative AI model would be an instruction such as, "Suggest the optimal route and training plan for the user to efficiently get to the gym." This would result in an effective activity plan that helps the user achieve their goals.

[0312] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0313] Step 1:

[0314] The server collects user information. It receives user profile and daily schedule data transmitted from smartphones and smart glasses as input. This data is stored in a database and prepared for analysis. The output is user information organized in a format suitable for analysis.

[0315] Step 2:

[0316] The server analyzes the user's lifestyle. It receives user information collected in Step 1 as input. Based on this information, it uses TensorFlow and PyTorch to analyze daily activity patterns and available time. The output is the analysis result showing the user's lifestyle pattern.

[0317] Step 3:

[0318] The server sets priorities for the goals based on the analysis results. The input is the analysis results obtained in step 2. Multiple goals are evaluated through data analysis, and priorities are determined based on their importance. The output is a list of priorities for each goal.

[0319] Step 4:

[0320] The server generates an optimal activity plan and presents it to the terminal. Priorities and the user's available time are considered as input. An efficient activity plan is created using a generation AI model. The output is a specific, customized schedule for each user.

[0321] Step 5:

[0322] The terminal presents the user with the generated activity plan. The input is the activity plan received from the server in step 4. By displaying it visually and clearly on the screen, the user can easily understand and implement it. The output is the plan screen displayed to the user.

[0323] Step 6:

[0324] The server records progress and adjusts the activity plan in real time. It receives data on tasks performed by the user and external environment data as input. It considers traffic information, weather, etc., and updates the schedule as needed. The output is the latest activity plan.

[0325] Step 7:

[0326] The server generates and provides feedback and advice to the terminal based on the progress. The input consists of progress data and analysis results. A generation AI model is used to identify advice suitable for the user, which is then made available for viewing on the terminal. The output is the feedback and advice displayed to the user.

[0327] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0328] The present invention combines an AI-based tool that provides users with activity plans to efficiently achieve their goals with an emotion engine. This system supports users through information gathering, analysis of lifestyle and emotions, generation of activity plans, progress management, and provision of feedback.

[0329] The server collects data on user-defined goals, schedules, and emotional states, and stores it in a database. This data collection process incorporates an emotion engine that recognizes the user's emotional state from their facial expressions and voice. The emotion engine analyzes the collected data in real time to identify the user's emotions.

[0330] Based on the results obtained, the server analyzes the user's lifestyle and emotions and sets priorities for each goal. These priorities are intended to clarify which goals the user should focus on and are adjusted as needed, taking into account their emotional state.

[0331] The server then generates and presents an optimal activity plan based on priorities. This plan maximizes the use of available time while incorporating content that addresses the user's emotional state. In particular, if negative emotions are detected, the plan may include activities that promote a shift towards positive emotions.

[0332] The terminal visualizes and presents an activity plan to the user based on instructions from the server. The user follows this plan and performs daily tasks, recording feedback each time a task is completed according to the plan.

[0333] As the user progresses through their activities, the emotion engine continues to monitor their emotional state. The server comprehensively evaluates the emotional state and task progress, dynamically adjusting the activity plan if there are significant deviations from the schedule or if negative emotions persist. The adjusted new plan is more realistic and includes elements that help promote emotional stability.

[0334] Furthermore, the server generates feedback and advice based on progress and emotional data. This advice provides users with mental and physical support, facilitating goal achievement.

[0335] As a specific example, in a case where user C sets "career advancement" and "stress management" as goals, the emotional engine detects C's stress level and, if high stress persists, generates a plan recommending rest and relaxation. By following the daily plan and progressing as planned, C achieves both their goals and reduces stress. Feedback is provided throughout, allowing C to steadily progress towards their career goals while remaining relaxed.

[0336] The following describes the processing flow.

[0337] Step 1:

[0338] Users set goals on an information input screen, prioritize each goal, and input how much time they will allocate to achieve them into the system. Furthermore, the system provides daily schedule information.

[0339] Step 2:

[0340] The device collects goal information and schedules entered by the user in real time and sends them to the server. At the same time, it recognizes the user's emotional state by sending facial expressions and voice data to the emotion engine.

[0341] Step 3:

[0342] The server stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle and emotional state. The results of this analysis reveal the user's behavioral patterns and emotional tendencies.

[0343] Step 4:

[0344] The server prioritizes each goal based on the analysis results. Emotional data is then considered, and a more user-friendly plan is developed that includes activities to enhance positive emotions.

[0345] Step 5:

[0346] The server generates an optimal activity plan based on priorities and available time. This plan incorporates alternatives for uncompleted tasks, as well as relaxation and breaks to stabilize emotions.

[0347] Step 6:

[0348] The device visualizes and presents the generated activity plan to the user. The plan includes specific tasks corresponding to each goal, recommended start and end times, and activities related to emotional care.

[0349] Step 7:

[0350] The user performs tasks based on the presented plan. During the activity, feedback is added to the task completion status recorded on the device and the emotional state detected by the emotion engine.

[0351] Step 8:

[0352] The server analyzes progress and sentiment data in real time to assess whether the current plan is working effectively. If necessary, it automatically adjusts the plan and sends a new plan reflecting the changes to the terminal.

[0353] Step 9:

[0354] The server generates feedback and advice based on the analysis results and provides it to the user through the terminal. This advice includes an emotional approach and supports the user in achieving their goals while maintaining their motivation.

[0355] (Example 2)

[0356] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0357] In modern society, many individuals seek concrete action plans to efficiently achieve multiple goals, but adjusting these plans to accommodate their own emotional states is a challenging task. Conventional planning support systems often fail to adequately reflect users' emotions, resulting in decreased motivation and unrealistic plans. Therefore, there is a need for a system that analyzes emotional states in real time and provides flexible plans tailored to the specific needs of users.

[0358] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0359] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results and adjusting them while taking the emotional state into consideration; and means for generating and presenting an optimal activity plan that takes the user's emotions into consideration, according to the priorities and available time. This enables the automatic generation of a flexible and realistic activity plan that reflects the user's emotional state and provides effective support for achieving goals.

[0360] "User information" refers to data about individual goals, schedules, and personal lives that users provide to the system in order to achieve their objectives.

[0361] "Lifestyle" refers to a user's daily habits, activities, and behavioral patterns, and is an element that is considered when planning for achieving goals.

[0362] "Emotional state" refers to data that represents the type and intensity of emotions a user exhibits at a particular time, and is an important element in adjusting activity plans.

[0363] "Priority" is an indicator used to identify the most important and urgent goals for the user from among multiple objectives, and to determine the order in which they should be tackled.

[0364] An "activity plan" is a plan that includes specific action steps and tasks to achieve the goals set by the user, and is generated taking into account available time and emotional state.

[0365] "Feedback" refers to information that provides evaluations and advice about the user's progress and status in their activities, and guides them toward their next actions.

[0366] An "emotion engine" is a technology that collects and analyzes emotional data from the user's facial expressions, voice, etc., to recognize their current emotional state.

[0367] This invention is a system that analyzes the user's lifestyle and emotional state to generate an optimal activity plan in order to efficiently and effectively achieve the goals set by the user. This system is mainly composed of three elements: a server, a terminal, and the user.

[0368] Server Role

[0369] The server is the central hardware for collecting and analyzing user information and emotional data. It incorporates a generative AI model and an emotion engine, which are used to evaluate the user's lifestyle and emotional state. The emotion engine analyzes facial expressions and voices obtained from the user via camera and microphone, recognizing the emotional state in real time. Based on these results, the server sets goal priorities and generates an activity plan that takes the emotional state into account. Typical software used includes Python and machine learning libraries such as TensorFlow.

[0370] Terminal role

[0371] A terminal is a device that visually presents the activity plan generated on the server to the user. The terminal is equipped with a user interface for displaying the plan's schedule and task list, which the user uses to plan their daily activities. Smartphones, tablets, and computers can be used as terminals.

[0372] User roles

[0373] The user is the entity that takes concrete actions to achieve each goal based on the activity plan presented on the device. The user executes tasks according to the plan and inputs their progress into the device. This information is sent to the server and further provided to the user as feedback. During this process, the user's emotional state is detected again, and the activity plan is adjusted in real time as needed.

[0374] For example, if a user sets "career advancement" and "health management" as goals, the server will use an emotion engine to monitor the user's stress level and support stress management by including relaxation activities in the plan. An example of a prompt in this case would be, "Based on the goals set by the user, please have the emotion engine analyze the user's emotions and generate an optimal activity plan." This prompt is sent to the generation AI model and acts as a trigger for activity plan generation.

[0375] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0376] Step 1:

[0377] Users input their goals through their device. This input data includes specific goals such as "career advancement" or "health management." The device sends this data to the server, which receives the user's goal information.

[0378] Step 2:

[0379] The server uses an emotion engine to collect and analyze emotional data in real time based on goal information sent by the user. Specifically, the server analyzes the user's facial expressions and voice obtained from the camera and microphone to identify the user's emotional state. The input here is facial expression data and voice data, and the output is the classification result of the user's emotional state.

[0380] Step 3:

[0381] The server uses a generative AI model to analyze the user's goal information and emotional state, and then performs a process of setting priorities for those goals. The input is goal information and emotional state data, and the output is a priority list for each goal. This operation creates a foundation for the server to show the user which goals they should focus on.

[0382] Step 4:

[0383] The server generates an optimal activity plan based on priorities, taking into account emotional states. It uses a priority list and available time data as input and generates a plan with specific activity steps as output. For example, if stress levels are high, relaxation activities might be added.

[0384] Step 5:

[0385] The terminal presents the user with an activity plan received from the server. This includes specific actions such as visualizing the plan and displaying it in the form of a calendar or task list. The user plans and executes their daily activities based on this display. The input is the activity plan from the server, and the output is the provision of visual information to the user.

[0386] Step 6:

[0387] The user performs each task based on the presented activity plan and inputs the progress into the terminal. The terminal sends this information to the server, where it is recorded as progress data. The input is the user's actual activity data, and the output is updated progress data.

[0388] Step 7:

[0389] The server evaluates progress data while continuously monitoring emotions using an emotion engine. It adjusts the plan in real time as needed. This involves specific actions that use real-time emotion and progress data as input and generate a new, adjusted action plan as output.

[0390] Step 8:

[0391] The server provides users with feedback and advice generated based on progress and sentiment data. This allows users to receive specific guidance and advice for the next steps. The input is the evaluated data, and the output is the feedback and advice provided. This process helps users to achieve their goals.

[0392] (Application Example 2)

[0393] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0394] In modern life, many people have multiple goals but struggle to manage and achieve them effectively. Furthermore, stress and negative emotions in daily life hinder goal achievement. To address these issues, it is necessary to provide activity plans that take emotional states into account, along with continuous emotional monitoring and feedback.

[0395] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0396] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results; and means for generating and presenting an optimal activity plan that takes the user's emotional state into consideration, according to the priorities and available time. This makes it possible for the user to efficiently achieve their goals based on an optimal activity plan that takes their emotional state into consideration.

[0397] "User information" refers to data such as the user's lifestyle, goals, and emotional state.

[0398] "Emotional state" refers to data that indicates the user's psychological and emotional state, and is identified from facial expressions, voice, and other similar information.

[0399] An "activity plan" refers to an optimal task schedule for achieving the user's goals, and its execution is set taking into account the user's lifestyle and available time.

[0400] "Priority" refers to a numerical or other criterion used to determine the importance of multiple goals, and serves as a standard for indicating which goals users should prioritize.

[0401] "Feedback" refers to guidelines and evaluations provided to users based on the progress of their activity plan and their emotional state, with the aim of improving their goal achievement.

[0402] A "server" refers to a computing system that processes data, generates analysis results and activity plans, and provides them to users.

[0403] The system implementing this invention consists primarily of a server, a terminal, and user interaction. The server collects user information and analyzes their lifestyle and emotional state. The hardware uses a computer system for data processing, and the software implements emotion analysis using machine learning libraries such as TensorFlow. Based on these analysis results, the server prioritizes multiple goals and generates an optimal activity plan.

[0404] The terminal is responsible for visually presenting the activity plan provided by the server to the user and receiving user feedback in real time. It also records the progress of the activity plan. A Raspberry Pi or similar processor is used here, and it interacts with the user via its built-in display and microphone.

[0405] Users perform tasks according to an activity plan presented through their device and provide feedback. The user's emotional state is monitored via the device's camera and microphone, and the server dynamically adjusts the activity plan based on this data. This supports users in achieving their goals while maintaining emotional stability.

[0406] For example, if a user sets "maintaining health" and "stress management" as their goals, the system will analyze the user's stress level and suggest appropriate activities. When negative emotions persist, it can recommend activities such as "going for a walk" or "listening to relaxation music."

[0407] An example of a prompt to the generating AI model is, "Evaluate whether the user-set goal is achievable based on their emotional state, and make any necessary adjustments." This prompt allows the AI ​​to generate an activity plan that is optimal for the user's situation, thereby improving the user's experience.

[0408] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0409] Step 1:

[0410] The server collects user information. Input includes the user's lifestyle, goals, and emotional state (facial expressions, voice, etc.). Based on this, the server uses an emotion engine to analyze the emotional state and record it in a lifestyle database. The output consists of the analyzed emotional data and lifestyle information. Specifically, data is collected using a camera and microphone, and then analyzed using a TensorFlow model.

[0411] Step 2:

[0412] The server prioritizes multiple goals based on the collected data. This step uses analyzed emotional data and lifestyle information as input. Data calculations evaluate the importance of each goal and output a numerical priority. The priority is dynamically set based on the user's emotions and the likelihood of achieving the goals.

[0413] Step 3:

[0414] The server generates an optimal activity plan that takes into account available time and emotional state, based on the set priorities. The inputs are priorities and lifestyle schedule information. An optimization algorithm is executed using a generation AI model, and the activity plan is generated as output. Specifically, the AI ​​adjusts the schedule to ensure the user's time is used effectively.

[0415] Step 4:

[0416] The terminal presents the generated activity plan to the user. The activity plan received from the server is the input, which the terminal visualizes and displays. The output is user feedback and progress information. The terminal utilizes its display and voice assistant to communicate the plan clearly.

[0417] Step 5:

[0418] The user performs tasks according to the presented activity plan. During this process, the device monitors the user's progress and emotional state. Inputs include task progress as planned and emotional data, while output provides progress status and real-time emotional changes. Specifically, feedback forms and facial expression analysis functions are used.

[0419] Step 6:

[0420] The server readjusts the activity plan based on progress and sentiment data. At this stage, the input is real-time updated progress and sentiment data. Through data processing and calculations, if the plan needs to be modified, an adjusted plan is output. This enables dynamic plan updates that facilitate goal achievement while maintaining user sentiment stability.

[0421] Step 7:

[0422] The terminal provides the user with feedback and advice from the server. The input is the adjusted activity plan and advice, and the output is obtained by presenting this to the user. Specifically, the feedback is conveyed through the terminal as audio or visual information.

[0423] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0424] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0425] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0426] [Third Embodiment]

[0427] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0428] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0429] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0430] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0431] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0432] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0433] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0434] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0435] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0436] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0437] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0438] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0439] The present invention provides an AI-based tool that optimizes activity plans for users to achieve their goals. This system supports efficient goal achievement through the collection of user information, analysis of lifestyle, prioritization, generation of activity plans, recording and adjustment of progress, and provision of feedback and advice.

[0440] The server receives goal information and daily schedule data entered by users and stores it in a database. Based on the stored information, the server uses advanced analytical algorithms to evaluate each user's lifestyle. This evaluation process analyzes daily activity patterns, energy levels, and available time, and determines priorities for multiple goals.

[0441] The server then creates an optimal activity plan based on the generated priorities. This activity plan includes a detailed schedule to maximize the use of the user's free time and efficiently achieve their goals. The generated plan is customized for each user, including actions specific to their individual goals.

[0442] The device presents this activity plan to the user. The presented schedule includes specific task details, start and end times, and is designed to be easy to understand and follow. Users are expected to perform their daily tasks according to the presented plan.

[0443] Feedback and progress from completed tasks are sent to the server in real time. The server analyzes this data and adjusts the activity plan as needed. These adjustments are made to accommodate unpredictable changes in the schedule and to ensure that users can pursue their goals without undue stress.

[0444] Furthermore, this system provides users with personalized feedback and advice based on their progress. For example, users aiming to obtain a certification will receive advice on time management and recommendations for efficient learning methods. In this way, users can improve and optimize their actions toward achieving their goals with appropriate support.

[0445] As a concrete example, consider user B, who has two goals: "obtaining a qualification" and "improving health." The server analyzes B's lifestyle and creates a schedule that allocates time for focused qualification study on weekdays and time for exercise on weekends. The terminal visually displays this schedule to B and specifically presents the tasks to be accomplished. Following this plan, B records their daily activities, and the server adjusts the plan sequentially according to the progress, ultimately achieving their goals of obtaining the qualification and improving their health.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] Users enter their individual goals into the system, setting priorities, deadlines, and daily time allocations for each goal. This includes entering work and school schedule information.

[0449] Step 2:

[0450] The terminal collects and accurately records information entered by the user in real time. The collected data is sent to a server. The terminal's interface is designed to make it easy for users to input information.

[0451] Step 3:

[0452] The server automatically stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle. This analysis allows for an understanding of each user's behavioral patterns and how they spend their time.

[0453] Step 4:

[0454] Based on the analysis results, the server sets priorities for each objective and generates a task schedule accordingly. The schedule is designed to maximize the use of the user's free time and energy levels.

[0455] Step 5:

[0456] The server sends the generated schedule to the terminal, presenting the user with a comprehensive activity plan. This schedule details specific tasks, their scheduled start and end times.

[0457] Step 6:

[0458] Users perform daily tasks based on the provided schedule. Task completion status is recorded on the device and sent to the server as progress information.

[0459] Step 7:

[0460] The server monitors progress data in real time and evaluates whether the plan is proceeding as expected. If necessary, it adjusts the activity plan and immediately sends the changed schedule to the terminal.

[0461] Step 8:

[0462] The server generates personalized advice based on progress and user feedback. This advice is delivered to the user via their device, suggesting areas for improvement and optimization to achieve their goals.

[0463] This series of processes allows users to efficiently pursue multiple goals.

[0464] (Example 1)

[0465] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0466] In modern society, many people lead busy lives while pursuing diverse goals. In this context, there is a need for a system that supports individuals in efficiently achieving their set goals. Traditional methods have struggled to flexibly adjust plans to accommodate individual priorities and lifestyle differences. Furthermore, real-time feedback and adjustment functions based on progress are insufficient. To address this challenge, there is a need for a system that generates optimal activity plans tailored to each user and uses them to support effective goal achievement.

[0467] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0468] In this invention, the server includes means for collecting user information via input means and analyzing the user's lifestyle patterns based on that information; means for determining the priority of multiple objectives based on the analysis results; and means for forming an efficient activity plan according to the priorities and available time slots, and presenting it as visual information. This makes it possible to optimize the goals set by the user to suit their individual lifestyle and provide a concrete and adjustable activity plan toward achieving those goals.

[0469] "User information" refers to personal data and attributes provided by users in order to achieve their goals, including information about their lifestyle patterns and schedules.

[0470] "Lifestyle patterns" refer to the tendencies of the user's daily activities and habits, and include activity time and energy levels.

[0471] "Priority" refers to determining the relative importance and necessity of multiple goals or tasks, and it indicates the order in which goals are achieved or the priority of efforts.

[0472] An "activity plan" is a schedule of specific actions and tasks aimed at achieving the user's goals, including time allocation and task content.

[0473] "Visual information" refers to information presented to users through a device, in a format that clearly displays activity plans and task contents.

[0474] "Feedback" refers to providing evaluations and advice on users' actions and progress, enabling them to make adjustments and improvements toward achieving their goals.

[0475] This system combines multiple technologies to efficiently support users in achieving their goals. Its specific form is described below.

[0476] The server stores the information collected from users in a database and performs analysis. In this step, machine learning algorithms (e.g., linear regression, decision trees) are used to perform analysis using programming languages ​​such as Python or R. This evaluates the user's lifestyle patterns and determines priorities for achieving their goals. Large amounts of data may be used in the analysis to reduce uncertainty and improve accuracy.

[0477] The server generates an activity plan optimized to each user's individual lifestyle. It utilizes scheduling algorithms to create a plan that enables efficient time management. Furthermore, the generated plan can be integrated into the user's calendar using APIs such as Google Calendar.

[0478] The device presents the generated activity plan to the user as visual information. This interface utilizes UI frameworks such as React Native and Flutter, and features a user-friendly design. Users can easily review their daily tasks in a visually clear format.

[0479] Users perform daily tasks according to the presented activity plan. Feedback is entered via the terminal and sent to the server. This feedback information is used to flexibly adjust the plan. The server uses generative AI models such as TensorFlow to adjust the plan in real time and continuously provide appropriate feedback to the user.

[0480] For example, if a user enters a prompt such as, "Please suggest a schedule that maximizes the efficiency of daily life while aiming to acquire a qualification. Weekdays should be dedicated to studying, and weekends should include relaxation and physical activities," the system will generate an optimized plan based on this request and present it to the user. In this way, the system enables efficient and effective goal achievement by providing support tailored to the individual needs of the user.

[0481] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0482] Step 1:

[0483] The server receives goal information and daily schedule data from the user as input. The input data is stored in a database. Specific data includes goal type, priority, and time constraints. This data forms the basis for analyzing lifestyle patterns.

[0484] Step 2:

[0485] The server analyzes the user's lifestyle patterns using stored data. Using a Python machine learning library, it analyzes trends in daily rhythms and energy levels from the received data. This analysis determines priorities linked to goals, and the results are output. This output is then used to generate subsequent activity plans.

[0486] Step 3:

[0487] The server generates an optimal activity plan using the analysis results as input. A scheduling algorithm is used to create appropriate task allocations and timetables. The generated plan includes specific task details and time allocations, and is output in a user-friendly format. This provides the user with an efficient approach to achieving their goals.

[0488] Step 4:

[0489] The terminal presents the generated activity plan to the user. The input here is activity plan data from the server. The terminal displays the plan through a visually organized UI, providing output that allows the user to easily review tasks. The UI facilitates user interaction with the plan through haptic feedback.

[0490] Step 5:

[0491] Users perform tasks according to the provided activity plan and input their progress into a terminal. The input data includes task completion status, time taken, and feedback comments. This information is sent to the server and used as the basis for updating the plan.

[0492] Step 6:

[0493] The server analyzes user feedback and adjusts the activity plan as needed. It utilizes a generative AI model to output a new plan tailored to the changed situation. This process ensures that the plan is appropriately optimized according to the user's needs.

[0494] Step 7:

[0495] The server generates personalized feedback and advice based on the user's progress and delivers it via the terminal. This personalized approach utilizes machine learning predictive models, and the suggestions provided are output as advice to help users efficiently complete tasks. This allows users to further improve and optimize their performance.

[0496] (Application Example 1)

[0497] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0498] In modern urban life, creating efficient activity plans based on individual activities and goal setting is extremely challenging. Users need to manage their health, improve their skills, and adapt to fluctuating traffic conditions while managing many tasks within limited time and resources. However, current planning tools struggle to dynamically update plans that adequately consider the external environment and individual lifestyles, hindering efficient goal achievement.

[0499] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0500] In this invention, the server includes means for collecting and analyzing user information, means for setting priorities for multiple goals, means for generating and presenting an optimal activity plan, means for dynamically updating the activity plan based on external environment data, and means for suggesting the optimal route and activity content based on the user's location information and time of day. This enables urban dwellers to easily execute dynamic activity plans optimized for the external environment and efficiently achieve their goals.

[0501] "User information" refers to information that includes various data about a specific user, and serves as the basic data for generating activity plans.

[0502] "Lifestyle" refers to an individual's daily actions and habits, as well as their patterns of behavior and time allocation.

[0503] Prioritization is the process of ranking multiple goals or tasks based on their importance and urgency.

[0504] An "activity plan" refers to a detailed schedule that optimizes the actions necessary for the user to achieve their goals.

[0505] "Progress" is an indicator that shows how many tasks have been completed in relation to the set activity plan.

[0506] "External environmental data" refers to dynamic environmental information surrounding the user, such as weather, traffic conditions, and time of day.

[0507] "Location information" refers to data that indicates the user's current location and is used to optimize activity plans.

[0508] A "route" refers to the optimal path from a given point to a destination, and is intended to support the user's travel.

[0509] In this application, the system is provided as an application that runs on smartphones or smart glasses. The server collects user information and analyzes each user's lifestyle based on that information. The analyzed data is used with machine learning frameworks such as TensorFlow and PyTorch to set priorities for each goal.

[0510] Based on user priorities, the server generates an optimal activity plan and presents it to the user's terminal. This activity plan includes the start and end times of activities, as well as specific actions, enabling users to smoothly carry out their daily tasks.

[0511] Furthermore, the server acquires external environmental data in real time and dynamically updates the activity plan. This includes traffic information, weather information, and other changes in the surrounding environment. It proposes the optimal route and activities considering the user's location and travel time.

[0512] For example, if a user sets obtaining a certification and maintaining their health as their goals, the server will generate a schedule that focuses on certification learning during weekdays and incorporates health maintenance activities on weekends. When the user is traveling, the system will utilize optimal traffic information to help them carry out their activities smoothly.

[0513] An example of a prompt for a generative AI model would be an instruction such as, "Suggest the optimal route and training plan for the user to efficiently get to the gym." This would result in an effective activity plan that helps the user achieve their goals.

[0514] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0515] Step 1:

[0516] The server collects user information. It receives user profile and daily schedule data transmitted from smartphones and smart glasses as input. This data is stored in a database and prepared for analysis. The output is user information organized in a format suitable for analysis.

[0517] Step 2:

[0518] The server analyzes the user's lifestyle. It receives user information collected in Step 1 as input. Based on this information, it uses TensorFlow and PyTorch to analyze daily activity patterns and available time. The output is the analysis result showing the user's lifestyle pattern.

[0519] Step 3:

[0520] The server sets priorities for the goals based on the analysis results. The input is the analysis results obtained in step 2. Multiple goals are evaluated through data analysis, and priorities are determined based on their importance. The output is a list of priorities for each goal.

[0521] Step 4:

[0522] The server generates an optimal activity plan and presents it to the terminal. Priorities and the user's available time are considered as input. An efficient activity plan is created using a generation AI model. The output is a specific, customized schedule for each user.

[0523] Step 5:

[0524] The terminal presents the user with the generated activity plan. The input is the activity plan received from the server in step 4. By displaying it visually and clearly on the screen, the user can easily understand and implement it. The output is the plan screen displayed to the user.

[0525] Step 6:

[0526] The server records progress and adjusts the activity plan in real time. It receives data on tasks performed by the user and external environment data as input. It considers traffic information, weather, etc., and updates the schedule as needed. The output is the latest activity plan.

[0527] Step 7:

[0528] The server generates and provides feedback and advice to the terminal based on the progress. The input consists of progress data and analysis results. A generation AI model is used to identify advice suitable for the user, which is then made available for viewing on the terminal. The output is the feedback and advice displayed to the user.

[0529] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0530] The present invention combines an AI-based tool that provides users with activity plans to efficiently achieve their goals with an emotion engine. This system supports users through information gathering, analysis of lifestyle and emotions, generation of activity plans, progress management, and provision of feedback.

[0531] The server collects data on user-defined goals, schedules, and emotional states, and stores it in a database. This data collection process incorporates an emotion engine that recognizes the user's emotional state from their facial expressions and voice. The emotion engine analyzes the collected data in real time to identify the user's emotions.

[0532] Based on the results obtained, the server analyzes the user's lifestyle and emotions and sets priorities for each goal. These priorities are intended to clarify which goals the user should focus on and are adjusted as needed, taking into account their emotional state.

[0533] The server then generates and presents an optimal activity plan based on priorities. This plan maximizes the use of available time while incorporating content that addresses the user's emotional state. In particular, if negative emotions are detected, the plan may include activities that promote a shift towards positive emotions.

[0534] The terminal visualizes and presents an activity plan to the user based on instructions from the server. The user follows this plan and performs daily tasks, recording feedback each time a task is completed according to the plan.

[0535] As the user progresses through their activities, the emotion engine continues to monitor their emotional state. The server comprehensively evaluates the emotional state and task progress, dynamically adjusting the activity plan if there are significant deviations from the schedule or if negative emotions persist. The adjusted new plan is more realistic and includes elements that help promote emotional stability.

[0536] Furthermore, the server generates feedback and advice based on progress and emotional data. This advice provides users with mental and physical support, facilitating goal achievement.

[0537] As a specific example, in a case where user C sets "career advancement" and "stress management" as goals, the emotional engine detects C's stress level and, if high stress persists, generates a plan recommending rest and relaxation. By following the daily plan and progressing as planned, C achieves both their goals and reduces stress. Feedback is provided throughout, allowing C to steadily progress towards their career goals while remaining relaxed.

[0538] The following describes the processing flow.

[0539] Step 1:

[0540] Users set goals on an information input screen, prioritize each goal, and input how much time they will allocate to achieve them into the system. Furthermore, the system provides daily schedule information.

[0541] Step 2:

[0542] The device collects goal information and schedules entered by the user in real time and sends them to the server. At the same time, it recognizes the user's emotional state by sending facial expressions and voice data to the emotion engine.

[0543] Step 3:

[0544] The server stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle and emotional state. The results of this analysis reveal the user's behavioral patterns and emotional tendencies.

[0545] Step 4:

[0546] The server prioritizes each goal based on the analysis results. Emotional data is then considered, and a more user-friendly plan is developed that includes activities to enhance positive emotions.

[0547] Step 5:

[0548] The server generates an optimal activity plan based on priorities and available time. This plan incorporates alternatives for uncompleted tasks, as well as relaxation and breaks to stabilize emotions.

[0549] Step 6:

[0550] The device visualizes and presents the generated activity plan to the user. The plan includes specific tasks corresponding to each goal, recommended start and end times, and activities related to emotional care.

[0551] Step 7:

[0552] The user performs tasks based on the presented plan. During the activity, feedback is added to the task completion status recorded on the device and the emotional state detected by the emotion engine.

[0553] Step 8:

[0554] The server analyzes progress and sentiment data in real time to assess whether the current plan is working effectively. If necessary, it automatically adjusts the plan and sends a new plan reflecting the changes to the terminal.

[0555] Step 9:

[0556] The server generates feedback and advice based on the analysis results and provides it to the user through the terminal. This advice includes an emotional approach and supports the user in achieving their goals while maintaining their motivation.

[0557] (Example 2)

[0558] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0559] In modern society, many individuals seek concrete action plans to efficiently achieve multiple goals, but adjusting these plans to accommodate their own emotional states is a challenging task. Conventional planning support systems often fail to adequately reflect users' emotions, resulting in decreased motivation and unrealistic plans. Therefore, there is a need for a system that analyzes emotional states in real time and provides flexible plans tailored to the specific needs of users.

[0560] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0561] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results and adjusting them while taking the emotional state into consideration; and means for generating and presenting an optimal activity plan that takes the user's emotions into consideration, according to the priorities and available time. This enables the automatic generation of a flexible and realistic activity plan that reflects the user's emotional state and provides effective support for achieving goals.

[0562] "User information" refers to data about individual goals, schedules, and personal lives that users provide to the system in order to achieve their objectives.

[0563] "Lifestyle" refers to a user's daily habits, activities, and behavioral patterns, and is an element that is considered when planning for achieving goals.

[0564] "Emotional state" refers to data that represents the type and intensity of emotions a user exhibits at a particular time, and is an important element in adjusting activity plans.

[0565] "Priority" is an indicator used to identify the most important and urgent goals for the user from among multiple objectives, and to determine the order in which they should be tackled.

[0566] An "activity plan" is a plan that includes specific action steps and tasks to achieve the goals set by the user, and is generated taking into account available time and emotional state.

[0567] "Feedback" refers to information that provides evaluations and advice about the user's progress and status in their activities, and guides them toward their next actions.

[0568] An "emotion engine" is a technology that collects and analyzes emotional data from the user's facial expressions, voice, etc., to recognize their current emotional state.

[0569] This invention is a system that analyzes the user's lifestyle and emotional state to generate an optimal activity plan in order to efficiently and effectively achieve the goals set by the user. This system is mainly composed of three elements: a server, a terminal, and the user.

[0570] Server Role

[0571] The server is the central hardware for collecting and analyzing user information and emotional data. It incorporates a generative AI model and an emotion engine, which are used to evaluate the user's lifestyle and emotional state. The emotion engine analyzes facial expressions and voices obtained from the user via camera and microphone, recognizing the emotional state in real time. Based on these results, the server sets goal priorities and generates an activity plan that takes the emotional state into account. Typical software used includes Python and machine learning libraries such as TensorFlow.

[0572] Terminal role

[0573] A terminal is a device that visually presents the activity plan generated on the server to the user. The terminal is equipped with a user interface for displaying the plan's schedule and task list, which the user uses to plan their daily activities. Smartphones, tablets, and computers can be used as terminals.

[0574] User roles

[0575] The user is the entity that takes concrete actions to achieve each goal based on the activity plan presented on the device. The user executes tasks according to the plan and inputs their progress into the device. This information is sent to the server and further provided to the user as feedback. During this process, the user's emotional state is detected again, and the activity plan is adjusted in real time as needed.

[0576] For example, if a user sets "career advancement" and "health management" as goals, the server will use an emotion engine to monitor the user's stress level and support stress management by including relaxation activities in the plan. An example of a prompt in this case would be, "Based on the goals set by the user, please have the emotion engine analyze the user's emotions and generate an optimal activity plan." This prompt is sent to the generation AI model and acts as a trigger for activity plan generation.

[0577] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0578] Step 1:

[0579] Users input their goals through their device. This input data includes specific goals such as "career advancement" or "health management." The device sends this data to the server, which receives the user's goal information.

[0580] Step 2:

[0581] The server uses an emotion engine to collect and analyze emotional data in real time based on goal information sent by the user. Specifically, the server analyzes the user's facial expressions and voice obtained from the camera and microphone to identify the user's emotional state. The input here is facial expression data and voice data, and the output is the classification result of the user's emotional state.

[0582] Step 3:

[0583] The server uses a generative AI model to analyze the user's goal information and emotional state, and then performs a process of setting priorities for those goals. The input is goal information and emotional state data, and the output is a priority list for each goal. This operation creates a foundation for the server to show the user which goals they should focus on.

[0584] Step 4:

[0585] The server generates an optimal activity plan based on priorities, taking into account emotional states. It uses a priority list and available time data as input and generates a plan with specific activity steps as output. For example, if stress levels are high, relaxation activities might be added.

[0586] Step 5:

[0587] The terminal presents the user with an activity plan received from the server. This includes specific actions such as visualizing the plan and displaying it in the form of a calendar or task list. The user plans and executes their daily activities based on this display. The input is the activity plan from the server, and the output is the provision of visual information to the user.

[0588] Step 6:

[0589] The user performs each task based on the presented activity plan and inputs the progress into the terminal. The terminal sends this information to the server, where it is recorded as progress data. The input is the user's actual activity data, and the output is updated progress data.

[0590] Step 7:

[0591] The server evaluates progress data while continuously monitoring emotions using an emotion engine. It adjusts the plan in real time as needed. This involves specific actions that use real-time emotion and progress data as input and generate a new, adjusted action plan as output.

[0592] Step 8:

[0593] The server provides users with feedback and advice generated based on progress and sentiment data. This allows users to receive specific guidance and advice for the next steps. The input is the evaluated data, and the output is the feedback and advice provided. This process helps users to achieve their goals.

[0594] (Application Example 2)

[0595] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0596] In modern life, many people have multiple goals but struggle to manage and achieve them effectively. Furthermore, stress and negative emotions in daily life hinder goal achievement. To address these issues, it is necessary to provide activity plans that take emotional states into account, along with continuous emotional monitoring and feedback.

[0597] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0598] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results; and means for generating and presenting an optimal activity plan that takes the user's emotional state into consideration, according to the priorities and available time. This makes it possible for the user to efficiently achieve their goals based on an optimal activity plan that takes their emotional state into consideration.

[0599] "User information" refers to data such as the user's lifestyle, goals, and emotional state.

[0600] "Emotional state" refers to data that indicates the user's psychological and emotional state, and is identified from facial expressions, voice, and other similar information.

[0601] An "activity plan" refers to an optimal task schedule for achieving the user's goals, and its execution is set taking into account the user's lifestyle and available time.

[0602] "Priority" refers to a numerical or other criterion used to determine the importance of multiple goals, and serves as a standard for indicating which goals users should prioritize.

[0603] "Feedback" refers to guidelines and evaluations provided to users based on the progress of their activity plan and their emotional state, with the aim of improving their goal achievement.

[0604] A "server" refers to a computing system that processes data, generates analysis results and activity plans, and provides them to users.

[0605] The system implementing this invention consists primarily of a server, a terminal, and user interaction. The server collects user information and analyzes their lifestyle and emotional state. The hardware uses a computer system for data processing, and the software implements emotion analysis using machine learning libraries such as TensorFlow. Based on these analysis results, the server prioritizes multiple goals and generates an optimal activity plan.

[0606] The terminal is responsible for visually presenting the activity plan provided by the server to the user and receiving user feedback in real time. It also records the progress of the activity plan. A Raspberry Pi or similar processor is used here, and it interacts with the user via its built-in display and microphone.

[0607] Users perform tasks according to an activity plan presented through their device and provide feedback. The user's emotional state is monitored via the device's camera and microphone, and the server dynamically adjusts the activity plan based on this data. This supports users in achieving their goals while maintaining emotional stability.

[0608] For example, if a user sets "maintaining health" and "stress management" as their goals, the system will analyze the user's stress level and suggest appropriate activities. When negative emotions persist, it can recommend activities such as "going for a walk" or "listening to relaxation music."

[0609] An example of a prompt to the generating AI model is, "Evaluate whether the user-set goal is achievable based on their emotional state, and make any necessary adjustments." This prompt allows the AI ​​to generate an activity plan that is optimal for the user's situation, thereby improving the user's experience.

[0610] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0611] Step 1:

[0612] The server collects user information. Input includes the user's lifestyle, goals, and emotional state (facial expressions, voice, etc.). Based on this, the server uses an emotion engine to analyze the emotional state and record it in a lifestyle database. The output consists of the analyzed emotional data and lifestyle information. Specifically, data is collected using a camera and microphone, and then analyzed using a TensorFlow model.

[0613] Step 2:

[0614] The server prioritizes multiple goals based on the collected data. This step uses analyzed emotional data and lifestyle information as input. Data calculations evaluate the importance of each goal and output a numerical priority. The priority is dynamically set based on the user's emotions and the likelihood of achieving the goals.

[0615] Step 3:

[0616] The server generates an optimal activity plan that takes into account available time and emotional state, based on the set priorities. The inputs are priorities and lifestyle schedule information. An optimization algorithm is executed using a generation AI model, and the activity plan is generated as output. Specifically, the AI ​​adjusts the schedule to ensure the user's time is used effectively.

[0617] Step 4:

[0618] The terminal presents the generated activity plan to the user. The activity plan received from the server is the input, which the terminal visualizes and displays. The output is user feedback and progress information. The terminal utilizes its display and voice assistant to communicate the plan clearly.

[0619] Step 5:

[0620] The user performs tasks according to the presented activity plan. During this process, the device monitors the user's progress and emotional state. Inputs include task progress as planned and emotional data, while output provides progress status and real-time emotional changes. Specifically, feedback forms and facial expression analysis functions are used.

[0621] Step 6:

[0622] The server readjusts the activity plan based on progress and sentiment data. At this stage, the input is real-time updated progress and sentiment data. Through data processing and calculations, if the plan needs to be modified, an adjusted plan is output. This enables dynamic plan updates that facilitate goal achievement while maintaining user sentiment stability.

[0623] Step 7:

[0624] The terminal provides the user with feedback and advice from the server. The input is the adjusted activity plan and advice, and the output is obtained by presenting this to the user. Specifically, the feedback is conveyed through the terminal as audio or visual information.

[0625] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0626] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0627] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0628] [Fourth Embodiment]

[0629] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0630] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0631] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0632] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0633] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0634] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0635] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0636] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0637] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0638] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0639] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0640] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0641] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0642] The present invention provides an AI-based tool that optimizes activity plans for users to achieve their goals. This system supports efficient goal achievement through the collection of user information, analysis of lifestyle, prioritization, generation of activity plans, recording and adjustment of progress, and provision of feedback and advice.

[0643] The server receives goal information and daily schedule data entered by users and stores it in a database. Based on the stored information, the server uses advanced analytical algorithms to evaluate each user's lifestyle. This evaluation process analyzes daily activity patterns, energy levels, and available time, and determines priorities for multiple goals.

[0644] The server then creates an optimal activity plan based on the generated priorities. This activity plan includes a detailed schedule to maximize the use of the user's free time and efficiently achieve their goals. The generated plan is customized for each user, including actions specific to their individual goals.

[0645] The device presents this activity plan to the user. The presented schedule includes specific task details, start and end times, and is designed to be easy to understand and follow. Users are expected to perform their daily tasks according to the presented plan.

[0646] Feedback and progress from completed tasks are sent to the server in real time. The server analyzes this data and adjusts the activity plan as needed. These adjustments are made to accommodate unpredictable changes in the schedule and to ensure that users can pursue their goals without undue stress.

[0647] Furthermore, this system provides users with personalized feedback and advice based on their progress. For example, users aiming to obtain a certification will receive advice on time management and recommendations for efficient learning methods. In this way, users can improve and optimize their actions toward achieving their goals with appropriate support.

[0648] As a concrete example, consider user B, who has two goals: "obtaining a qualification" and "improving health." The server analyzes B's lifestyle and creates a schedule that allocates time for focused qualification study on weekdays and time for exercise on weekends. The terminal visually displays this schedule to B and specifically presents the tasks to be accomplished. Following this plan, B records their daily activities, and the server adjusts the plan sequentially according to the progress, ultimately achieving their goals of obtaining the qualification and improving their health.

[0649] The following describes the processing flow.

[0650] Step 1:

[0651] Users enter their individual goals into the system, setting priorities, deadlines, and daily time allocations for each goal. This includes entering work and school schedule information.

[0652] Step 2:

[0653] The terminal collects and accurately records information entered by the user in real time. The collected data is sent to a server. The terminal's interface is designed to make it easy for users to input information.

[0654] Step 3:

[0655] The server automatically stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle. This analysis allows for an understanding of each user's behavioral patterns and how they spend their time.

[0656] Step 4:

[0657] Based on the analysis results, the server sets priorities for each objective and generates a task schedule accordingly. The schedule is designed to maximize the use of the user's free time and energy levels.

[0658] Step 5:

[0659] The server sends the generated schedule to the terminal, presenting the user with a comprehensive activity plan. This schedule details specific tasks, their scheduled start and end times.

[0660] Step 6:

[0661] Users perform daily tasks based on the provided schedule. Task completion status is recorded on the device and sent to the server as progress information.

[0662] Step 7:

[0663] The server monitors progress data in real time and evaluates whether the plan is proceeding as expected. If necessary, it adjusts the activity plan and immediately sends the changed schedule to the terminal.

[0664] Step 8:

[0665] The server generates personalized advice based on progress and user feedback. This advice is delivered to the user via their device, suggesting areas for improvement and optimization to achieve their goals.

[0666] This series of processes allows users to efficiently pursue multiple goals.

[0667] (Example 1)

[0668] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0669] In modern society, many people lead busy lives while pursuing diverse goals. In this context, there is a need for a system that supports individuals in efficiently achieving their set goals. Traditional methods have struggled to flexibly adjust plans to accommodate individual priorities and lifestyle differences. Furthermore, real-time feedback and adjustment functions based on progress are insufficient. To address this challenge, there is a need for a system that generates optimal activity plans tailored to each user and uses them to support effective goal achievement.

[0670] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0671] In this invention, the server includes means for collecting user information via input means and analyzing the user's lifestyle patterns based on that information; means for determining the priority of multiple objectives based on the analysis results; and means for forming an efficient activity plan according to the priorities and available time slots, and presenting it as visual information. This makes it possible to optimize the goals set by the user to suit their individual lifestyle and provide a concrete and adjustable activity plan toward achieving those goals.

[0672] "User information" refers to personal data and attributes provided by users in order to achieve their goals, including information about their lifestyle patterns and schedules.

[0673] "Lifestyle patterns" refer to the tendencies of the user's daily activities and habits, and include activity time and energy levels.

[0674] "Priority" refers to determining the relative importance and necessity of multiple goals or tasks, and it indicates the order in which goals are achieved or the priority of efforts.

[0675] An "activity plan" is a schedule of specific actions and tasks aimed at achieving the user's goals, including time allocation and task content.

[0676] "Visual information" refers to information presented to users through a device, in a format that clearly displays activity plans and task contents.

[0677] "Feedback" refers to providing evaluations and advice on users' actions and progress, enabling them to make adjustments and improvements toward achieving their goals.

[0678] This system combines multiple technologies to efficiently support users in achieving their goals. Its specific form is described below.

[0679] The server stores the information collected from users in a database and performs analysis. In this step, machine learning algorithms (e.g., linear regression, decision trees) are used to perform analysis using programming languages ​​such as Python or R. This evaluates the user's lifestyle patterns and determines priorities for achieving their goals. Large amounts of data may be used in the analysis to reduce uncertainty and improve accuracy.

[0680] The server generates an activity plan optimized to each user's individual lifestyle. It utilizes scheduling algorithms to create a plan that enables efficient time management. Furthermore, the generated plan can be integrated into the user's calendar using APIs such as Google Calendar.

[0681] The device presents the generated activity plan to the user as visual information. This interface utilizes UI frameworks such as React Native and Flutter, and features a user-friendly design. Users can easily review their daily tasks in a visually clear format.

[0682] Users perform daily tasks according to the presented activity plan. Feedback is entered via the terminal and sent to the server. This feedback information is used to flexibly adjust the plan. The server uses generative AI models such as TensorFlow to adjust the plan in real time and continuously provide appropriate feedback to the user.

[0683] For example, if a user enters a prompt such as, "Please suggest a schedule that maximizes the efficiency of daily life while aiming to acquire a qualification. Weekdays should be dedicated to studying, and weekends should include relaxation and physical activities," the system will generate an optimized plan based on this request and present it to the user. In this way, the system enables efficient and effective goal achievement by providing support tailored to the individual needs of the user.

[0684] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0685] Step 1:

[0686] The server receives goal information and daily schedule data from the user as input. The input data is stored in a database. Specific data includes goal type, priority, and time constraints. This data forms the basis for analyzing lifestyle patterns.

[0687] Step 2:

[0688] The server analyzes the user's lifestyle patterns using stored data. Using a Python machine learning library, it analyzes trends in daily rhythms and energy levels from the received data. This analysis determines priorities linked to goals, and the results are output. This output is then used to generate subsequent activity plans.

[0689] Step 3:

[0690] The server generates an optimal activity plan using the analysis results as input. A scheduling algorithm is used to create appropriate task allocations and timetables. The generated plan includes specific task details and time allocations, and is output in a user-friendly format. This provides the user with an efficient approach to achieving their goals.

[0691] Step 4:

[0692] The terminal presents the generated activity plan to the user. The input here is activity plan data from the server. The terminal displays the plan through a visually organized UI, providing output that allows the user to easily review tasks. The UI facilitates user interaction with the plan through haptic feedback.

[0693] Step 5:

[0694] Users perform tasks according to the provided activity plan and input their progress into a terminal. The input data includes task completion status, time taken, and feedback comments. This information is sent to the server and used as the basis for updating the plan.

[0695] Step 6:

[0696] The server analyzes user feedback and adjusts the activity plan as needed. It utilizes a generative AI model to output a new plan tailored to the changed situation. This process ensures that the plan is appropriately optimized according to the user's needs.

[0697] Step 7:

[0698] The server generates personalized feedback and advice based on the user's progress and delivers it via the terminal. This personalized approach utilizes machine learning predictive models, and the suggestions provided are output as advice to help users efficiently complete tasks. This allows users to further improve and optimize their performance.

[0699] (Application Example 1)

[0700] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0701] In modern urban life, creating efficient activity plans based on individual activities and goal setting is extremely challenging. Users need to manage their health, improve their skills, and adapt to fluctuating traffic conditions while managing many tasks within limited time and resources. However, current planning tools struggle to dynamically update plans that adequately consider the external environment and individual lifestyles, hindering efficient goal achievement.

[0702] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0703] In this invention, the server includes means for collecting and analyzing user information, means for setting priorities for multiple goals, means for generating and presenting an optimal activity plan, means for dynamically updating the activity plan based on external environment data, and means for suggesting the optimal route and activity content based on the user's location information and time of day. This enables urban dwellers to easily execute dynamic activity plans optimized for the external environment and efficiently achieve their goals.

[0704] "User information" refers to information that includes various data about a specific user, and serves as the basic data for generating activity plans.

[0705] "Lifestyle" refers to an individual's daily actions and habits, as well as their patterns of behavior and time allocation.

[0706] Prioritization is the process of ranking multiple goals or tasks based on their importance and urgency.

[0707] An "activity plan" refers to a detailed schedule that optimizes the actions necessary for the user to achieve their goals.

[0708] "Progress" is an indicator that shows how many tasks have been completed in relation to the set activity plan.

[0709] "External environmental data" refers to dynamic environmental information surrounding the user, such as weather, traffic conditions, and time of day.

[0710] "Location information" refers to data that indicates the user's current location and is used to optimize activity plans.

[0711] A "route" refers to the optimal path from a given point to a destination, and is intended to support the user's travel.

[0712] In this application, the system is provided as an application that runs on smartphones or smart glasses. The server collects user information and analyzes each user's lifestyle based on that information. The analyzed data is used with machine learning frameworks such as TensorFlow and PyTorch to set priorities for each goal.

[0713] Based on user priorities, the server generates an optimal activity plan and presents it to the user's terminal. This activity plan includes the start and end times of activities, as well as specific actions, enabling users to smoothly carry out their daily tasks.

[0714] Furthermore, the server acquires external environmental data in real time and dynamically updates the activity plan. This includes traffic information, weather information, and other changes in the surrounding environment. It proposes the optimal route and activities considering the user's location and travel time.

[0715] For example, if a user sets obtaining a certification and maintaining their health as their goals, the server will generate a schedule that focuses on certification learning during weekdays and incorporates health maintenance activities on weekends. When the user is traveling, the system will utilize optimal traffic information to help them carry out their activities smoothly.

[0716] An example of a prompt for a generative AI model would be an instruction such as, "Suggest the optimal route and training plan for the user to efficiently get to the gym." This would result in an effective activity plan that helps the user achieve their goals.

[0717] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0718] Step 1:

[0719] The server collects user information. It receives user profile and daily schedule data transmitted from smartphones and smart glasses as input. This data is stored in a database and prepared for analysis. The output is user information organized in a format suitable for analysis.

[0720] Step 2:

[0721] The server analyzes the user's lifestyle. It receives user information collected in Step 1 as input. Based on this information, it uses TensorFlow and PyTorch to analyze daily activity patterns and available time. The output is the analysis result showing the user's lifestyle pattern.

[0722] Step 3:

[0723] The server sets priorities for the goals based on the analysis results. The input is the analysis results obtained in step 2. Multiple goals are evaluated through data analysis, and priorities are determined based on their importance. The output is a list of priorities for each goal.

[0724] Step 4:

[0725] The server generates an optimal activity plan and presents it to the terminal. Priorities and the user's available time are considered as input. An efficient activity plan is created using a generation AI model. The output is a specific, customized schedule for each user.

[0726] Step 5:

[0727] The terminal presents the user with the generated activity plan. The input is the activity plan received from the server in step 4. By displaying it visually and clearly on the screen, the user can easily understand and implement it. The output is the plan screen displayed to the user.

[0728] Step 6:

[0729] The server records progress and adjusts the activity plan in real time. It receives data on tasks performed by the user and external environment data as input. It considers traffic information, weather, etc., and updates the schedule as needed. The output is the latest activity plan.

[0730] Step 7:

[0731] The server generates and provides feedback and advice to the terminal based on the progress. The input consists of progress data and analysis results. A generation AI model is used to identify advice suitable for the user, which is then made available for viewing on the terminal. The output is the feedback and advice displayed to the user.

[0732] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0733] The present invention combines an AI-based tool that provides users with activity plans to efficiently achieve their goals with an emotion engine. This system supports users through information gathering, analysis of lifestyle and emotions, generation of activity plans, progress management, and provision of feedback.

[0734] The server collects data on user-defined goals, schedules, and emotional states, and stores it in a database. This data collection process incorporates an emotion engine that recognizes the user's emotional state from their facial expressions and voice. The emotion engine analyzes the collected data in real time to identify the user's emotions.

[0735] Based on the results obtained, the server analyzes the user's lifestyle and emotions and sets priorities for each goal. These priorities are intended to clarify which goals the user should focus on and are adjusted as needed, taking into account their emotional state.

[0736] The server then generates and presents an optimal activity plan based on priorities. This plan maximizes the use of available time while incorporating content that addresses the user's emotional state. In particular, if negative emotions are detected, the plan may include activities that promote a shift towards positive emotions.

[0737] The terminal visualizes and presents an activity plan to the user based on instructions from the server. The user follows this plan and performs daily tasks, recording feedback each time a task is completed according to the plan.

[0738] As the user progresses through their activities, the emotion engine continues to monitor their emotional state. The server comprehensively evaluates the emotional state and task progress, dynamically adjusting the activity plan if there are significant deviations from the schedule or if negative emotions persist. The adjusted new plan is more realistic and includes elements that help promote emotional stability.

[0739] Furthermore, the server generates feedback and advice based on progress and emotional data. This advice provides users with mental and physical support, facilitating goal achievement.

[0740] As a specific example, in a case where user C sets "career advancement" and "stress management" as goals, the emotional engine detects C's stress level and, if high stress persists, generates a plan recommending rest and relaxation. By following the daily plan and progressing as planned, C achieves both their goals and reduces stress. Feedback is provided throughout, allowing C to steadily progress towards their career goals while remaining relaxed.

[0741] The following describes the processing flow.

[0742] Step 1:

[0743] Users set goals on an information input screen, prioritize each goal, and input how much time they will allocate to achieve them into the system. Furthermore, the system provides daily schedule information.

[0744] Step 2:

[0745] The device collects goal information and schedules entered by the user in real time and sends them to the server. At the same time, it recognizes the user's emotional state by sending facial expressions and voice data to the emotion engine.

[0746] Step 3:

[0747] The server stores the received data in a database and uses machine learning algorithms to analyze the user's lifestyle and emotional state. The results of this analysis reveal the user's behavioral patterns and emotional tendencies.

[0748] Step 4:

[0749] The server prioritizes each goal based on the analysis results. Emotional data is then considered, and a more user-friendly plan is developed that includes activities to enhance positive emotions.

[0750] Step 5:

[0751] The server generates an optimal activity plan based on priorities and available time. This plan incorporates alternatives for uncompleted tasks, as well as relaxation and breaks to stabilize emotions.

[0752] Step 6:

[0753] The device visualizes and presents the generated activity plan to the user. The plan includes specific tasks corresponding to each goal, recommended start and end times, and activities related to emotional care.

[0754] Step 7:

[0755] The user performs tasks based on the presented plan. During the activity, feedback is added to the task completion status recorded on the device and the emotional state detected by the emotion engine.

[0756] Step 8:

[0757] The server analyzes progress and sentiment data in real time to assess whether the current plan is working effectively. If necessary, it automatically adjusts the plan and sends a new plan reflecting the changes to the terminal.

[0758] Step 9:

[0759] The server generates feedback and advice based on the analysis results and provides it to the user through the terminal. This advice includes an emotional approach and supports the user in achieving their goals while maintaining their motivation.

[0760] (Example 2)

[0761] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0762] In modern society, many individuals seek concrete action plans to efficiently achieve multiple goals, but adjusting these plans to accommodate their own emotional states is a challenging task. Conventional planning support systems often fail to adequately reflect users' emotions, resulting in decreased motivation and unrealistic plans. Therefore, there is a need for a system that analyzes emotional states in real time and provides flexible plans tailored to the specific needs of users.

[0763] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0764] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results and adjusting them while taking the emotional state into consideration; and means for generating and presenting an optimal activity plan that takes the user's emotions into consideration, according to the priorities and available time. This enables the automatic generation of a flexible and realistic activity plan that reflects the user's emotional state and provides effective support for achieving goals.

[0765] "User information" refers to data about individual goals, schedules, and personal lives that users provide to the system in order to achieve their objectives.

[0766] "Lifestyle" refers to a user's daily habits, activities, and behavioral patterns, and is an element that is considered when planning for achieving goals.

[0767] "Emotional state" refers to data that represents the type and intensity of emotions a user exhibits at a particular time, and is an important element in adjusting activity plans.

[0768] "Priority" is an indicator used to identify the most important and urgent goals for the user from among multiple objectives, and to determine the order in which they should be tackled.

[0769] An "activity plan" is a plan that includes specific action steps and tasks to achieve the goals set by the user, and is generated taking into account available time and emotional state.

[0770] "Feedback" refers to information that provides evaluations and advice about the user's progress and status in their activities, and guides them toward their next actions.

[0771] An "emotion engine" is a technology that collects and analyzes emotional data from the user's facial expressions, voice, etc., to recognize their current emotional state.

[0772] This invention is a system that analyzes the user's lifestyle and emotional state to generate an optimal activity plan in order to efficiently and effectively achieve the goals set by the user. This system is mainly composed of three elements: a server, a terminal, and the user.

[0773] Server Role

[0774] The server is the central hardware for collecting and analyzing user information and emotional data. It incorporates a generative AI model and an emotion engine, which are used to evaluate the user's lifestyle and emotional state. The emotion engine analyzes facial expressions and voices obtained from the user via camera and microphone, recognizing the emotional state in real time. Based on these results, the server sets goal priorities and generates an activity plan that takes the emotional state into account. Typical software used includes Python and machine learning libraries such as TensorFlow.

[0775] Terminal role

[0776] A terminal is a device that visually presents the activity plan generated on the server to the user. The terminal is equipped with a user interface for displaying the plan's schedule and task list, which the user uses to plan their daily activities. Smartphones, tablets, and computers can be used as terminals.

[0777] User roles

[0778] The user is the entity that takes concrete actions to achieve each goal based on the activity plan presented on the device. The user executes tasks according to the plan and inputs their progress into the device. This information is sent to the server and further provided to the user as feedback. During this process, the user's emotional state is detected again, and the activity plan is adjusted in real time as needed.

[0779] For example, if a user sets "career advancement" and "health management" as goals, the server will use an emotion engine to monitor the user's stress level and support stress management by including relaxation activities in the plan. An example of a prompt in this case would be, "Based on the goals set by the user, please have the emotion engine analyze the user's emotions and generate an optimal activity plan." This prompt is sent to the generation AI model and acts as a trigger for activity plan generation.

[0780] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0781] Step 1:

[0782] Users input their goals through their device. This input data includes specific goals such as "career advancement" or "health management." The device sends this data to the server, which receives the user's goal information.

[0783] Step 2:

[0784] The server uses an emotion engine to collect and analyze emotional data in real time based on goal information sent by the user. Specifically, the server analyzes the user's facial expressions and voice obtained from the camera and microphone to identify the user's emotional state. The input here is facial expression data and voice data, and the output is the classification result of the user's emotional state.

[0785] Step 3:

[0786] The server uses a generative AI model to analyze the user's goal information and emotional state, and then performs a process of setting priorities for those goals. The input is goal information and emotional state data, and the output is a priority list for each goal. This operation creates a foundation for the server to show the user which goals they should focus on.

[0787] Step 4:

[0788] The server generates an optimal activity plan based on priorities, taking into account emotional states. It uses a priority list and available time data as input and generates a plan with specific activity steps as output. For example, if stress levels are high, relaxation activities might be added.

[0789] Step 5:

[0790] The terminal presents the user with an activity plan received from the server. This includes specific actions such as visualizing the plan and displaying it in the form of a calendar or task list. The user plans and executes their daily activities based on this display. The input is the activity plan from the server, and the output is the provision of visual information to the user.

[0791] Step 6:

[0792] The user performs each task based on the presented activity plan and inputs the progress into the terminal. The terminal sends this information to the server, where it is recorded as progress data. The input is the user's actual activity data, and the output is updated progress data.

[0793] Step 7:

[0794] The server evaluates progress data while continuously monitoring emotions using an emotion engine. It adjusts the plan in real time as needed. This involves specific actions that use real-time emotion and progress data as input and generate a new, adjusted action plan as output.

[0795] Step 8:

[0796] The server provides users with feedback and advice generated based on progress and sentiment data. This allows users to receive specific guidance and advice for the next steps. The input is the evaluated data, and the output is the feedback and advice provided. This process helps users to achieve their goals.

[0797] (Application Example 2)

[0798] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0799] In modern life, many people have multiple goals but struggle to manage and achieve them effectively. Furthermore, stress and negative emotions in daily life hinder goal achievement. To address these issues, it is necessary to provide activity plans that take emotional states into account, along with continuous emotional monitoring and feedback.

[0800] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0801] In this invention, the server includes means for collecting user information and analyzing the user's lifestyle and emotional state based on that information; means for setting priorities for multiple goals based on the analysis results; and means for generating and presenting an optimal activity plan that takes the user's emotional state into consideration, according to the priorities and available time. This makes it possible for the user to efficiently achieve their goals based on an optimal activity plan that takes their emotional state into consideration.

[0802] "User information" refers to data such as the user's lifestyle, goals, and emotional state.

[0803] "Emotional state" refers to data that indicates the user's psychological and emotional state, and is identified from facial expressions, voice, and other similar information.

[0804] An "activity plan" refers to an optimal task schedule for achieving the user's goals, and its execution is set taking into account the user's lifestyle and available time.

[0805] "Priority" refers to a numerical or other criterion used to determine the importance of multiple goals, and serves as a standard for indicating which goals users should prioritize.

[0806] "Feedback" refers to guidelines and evaluations provided to users based on the progress of their activity plan and their emotional state, with the aim of improving their goal achievement.

[0807] A "server" refers to a computing system that processes data, generates analysis results and activity plans, and provides them to users.

[0808] The system implementing this invention consists primarily of a server, a terminal, and user interaction. The server collects user information and analyzes their lifestyle and emotional state. The hardware uses a computer system for data processing, and the software implements emotion analysis using machine learning libraries such as TensorFlow. Based on these analysis results, the server prioritizes multiple goals and generates an optimal activity plan.

[0809] The terminal is responsible for visually presenting the activity plan provided by the server to the user and receiving user feedback in real time. It also records the progress of the activity plan. A Raspberry Pi or similar processor is used here, and it interacts with the user via its built-in display and microphone.

[0810] Users perform tasks according to an activity plan presented through their device and provide feedback. The user's emotional state is monitored via the device's camera and microphone, and the server dynamically adjusts the activity plan based on this data. This supports users in achieving their goals while maintaining emotional stability.

[0811] For example, if a user sets "maintaining health" and "stress management" as their goals, the system will analyze the user's stress level and suggest appropriate activities. When negative emotions persist, it can recommend activities such as "going for a walk" or "listening to relaxation music."

[0812] An example of a prompt to the generating AI model is, "Evaluate whether the user-set goal is achievable based on their emotional state, and make any necessary adjustments." This prompt allows the AI ​​to generate an activity plan that is optimal for the user's situation, thereby improving the user's experience.

[0813] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0814] Step 1:

[0815] The server collects user information. Input includes the user's lifestyle, goals, and emotional state (facial expressions, voice, etc.). Based on this, the server uses an emotion engine to analyze the emotional state and record it in a lifestyle database. The output consists of the analyzed emotional data and lifestyle information. Specifically, data is collected using a camera and microphone, and then analyzed using a TensorFlow model.

[0816] Step 2:

[0817] The server prioritizes multiple goals based on the collected data. This step uses analyzed emotional data and lifestyle information as input. Data calculations evaluate the importance of each goal and output a numerical priority. The priority is dynamically set based on the user's emotions and the likelihood of achieving the goals.

[0818] Step 3:

[0819] The server generates an optimal activity plan that takes into account available time and emotional state, based on the set priorities. The inputs are priorities and lifestyle schedule information. An optimization algorithm is executed using a generation AI model, and the activity plan is generated as output. Specifically, the AI ​​adjusts the schedule to ensure the user's time is used effectively.

[0820] Step 4:

[0821] The terminal presents the generated activity plan to the user. The activity plan received from the server is the input, which the terminal visualizes and displays. The output is user feedback and progress information. The terminal utilizes its display and voice assistant to communicate the plan clearly.

[0822] Step 5:

[0823] The user performs tasks according to the presented activity plan. During this process, the device monitors the user's progress and emotional state. Inputs include task progress as planned and emotional data, while output provides progress status and real-time emotional changes. Specifically, feedback forms and facial expression analysis functions are used.

[0824] Step 6:

[0825] The server readjusts the activity plan based on progress and sentiment data. At this stage, the input is real-time updated progress and sentiment data. Through data processing and calculations, if the plan needs to be modified, an adjusted plan is output. This enables dynamic plan updates that facilitate goal achievement while maintaining user sentiment stability.

[0826] Step 7:

[0827] The terminal provides the user with feedback and advice from the server. The input is the adjusted activity plan and advice, and the output is obtained by presenting this to the user. Specifically, the feedback is conveyed through the terminal as audio or visual information.

[0828] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0829] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0830] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0831] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0832] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0833] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0834] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0835] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0836] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0837] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0838] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0839] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0840] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0841] 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.

[0842] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0843] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0844] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0845] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0846] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0847] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0848] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0849] The following is further disclosed regarding the embodiments described above.

[0850] (Claim 1)

[0851] A means for collecting user information and analyzing the user's lifestyle based on that information,

[0852] A means for setting priorities for each of the multiple goals based on the aforementioned analysis results,

[0853] A means for generating and presenting an optimal activity plan according to the aforementioned priorities and available time,

[0854] A means for recording the progress based on the aforementioned activity plan and making adjustments in real time,

[0855] A means of providing feedback and advice based on progress,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, further comprising means for evaluating the feasibility of achieving each of the multiple goals entered by the user, and for automatically generating a schedule corresponding to the goals, and presenting it to the user.

[0859] (Claim 3)

[0860] The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user feedback and for readjusting the activity plan as necessary.

[0861] "Example 1"

[0862] (Claim 1)

[0863] A means for collecting user information through input means and analyzing the user's lifestyle patterns based on that information,

[0864] Based on the aforementioned analysis results, means for determining the priority of each of the multiple objectives,

[0865] A means for forming an efficient activity plan in accordance with the aforementioned priorities and available timeframes, and presenting it as visual information,

[0866] A means for recording progress based on the aforementioned activity plan and enabling real-time adjustments,

[0867] Means to provide advice and specific guidance that correspond to the progress,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, further comprising means for determining the feasibility of each of the multiple objectives entered by the user, automatically generating a timetable corresponding to the objectives, and displaying it to the user.

[0871] (Claim 3)

[0872] The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user evaluation information and for readjusting the plan as necessary.

[0873] "Application Example 1"

[0874] (Claim 1)

[0875] A means for collecting user information and analyzing the user's lifestyle based on that information,

[0876] A means for setting priorities for each of the multiple goals based on the aforementioned analysis results,

[0877] A means for generating and presenting an optimal activity plan according to the aforementioned priorities and available time,

[0878] A means for recording the progress based on the aforementioned activity plan and making adjustments in real time,

[0879] A means of providing feedback and advice based on progress,

[0880] A means of dynamically updating the activity plan while taking external environmental data into consideration,

[0881] A means of suggesting the optimal route and activities based on the user's location information and time of day,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, further comprising means for evaluating the feasibility of achieving each of the multiple goals entered by the user, and for automatically generating a schedule corresponding to the goals, and presenting it to the user.

[0885] (Claim 3)

[0886] The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user feedback and for readjusting the activity plan as necessary.

[0887] "Example 2 of combining an emotion engine"

[0888] (Claim 1)

[0889] A means for collecting user information and analyzing the user's lifestyle and emotional state based on that information,

[0890] Based on the aforementioned analysis results, a means for setting priorities for each of the multiple goals and adjusting them while taking into account emotional states,

[0891] A means for generating and presenting an optimal activity plan that takes emotions into consideration, based on the aforementioned priorities and available time,

[0892] A means for recording progress based on the aforementioned activity plan, monitoring emotional states, and dynamically adjusting the plan in real time,

[0893] A means of generating and providing feedback and advice tailored to progress and emotional state,

[0894] A system that includes this.

[0895] (Claim 2)

[0896] The system according to claim 1, further comprising means of analyzing emotional data using an emotion engine based on goals set by the user, and automatically generating a schedule according to the emotional state, thereby presenting it to the user.

[0897] (Claim 3)

[0898] The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user feedback and sentiment data, and for readjusting the activity plan as necessary.

[0899] "Application example 2 when combining with an emotional engine"

[0900] (Claim 1)

[0901] A means for collecting user information and analyzing the user's lifestyle and emotional state based on that information,

[0902] A means for setting priorities for each of the multiple goals based on the aforementioned analysis results,

[0903] A means for generating and presenting an optimal activity plan that takes into account the user's emotional state, based on the aforementioned priorities and available time,

[0904] A means for recording the progress and emotional state based on the aforementioned activity plan in real time, and adjusting the plan as necessary,

[0905] Means of providing mental and physical support, including providing feedback and advice based on the aforementioned progress and emotional state,

[0906] A system that includes this.

[0907] (Claim 2)

[0908] The system according to claim 1, further comprising means for evaluating the feasibility of achieving each of the multiple goals entered by the user, and for automatically generating and presenting a schedule corresponding to the goals based on the user's emotional state.

[0909] (Claim 3)

[0910] The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user feedback and emotional state, and readjusting the activity plan to promote mental well-being as necessary. [Explanation of symbols]

[0911] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for collecting user information and analyzing the user's lifestyle based on that information, A means for setting priorities for each of the multiple goals based on the aforementioned analysis results, A means for generating and presenting an optimal activity plan according to the aforementioned priorities and available time, A means for recording the progress based on the aforementioned activity plan and making adjustments in real time, A means of providing feedback and advice based on progress, A system that includes this.

2. The system according to claim 1, further comprising means for evaluating the feasibility of achieving each of the multiple goals entered by the user, and for automatically generating a schedule corresponding to the goals, and presenting it to the user.

3. The system according to claim 1, comprising means for verifying the feasibility of an activity plan based on collected user feedback and for readjusting the activity plan as necessary.

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