system

Abstract

We provide the system. [Solution] An information processing device equipped with a notification function that presents a specific task and does not stop until that task is completed, A means of recording user behavior information and visualizing progress, A means of providing communication functions that allow users to interact with other participants and encourage each other, A means of providing users with timely feedback for improving their lifestyle habits, A means of facilitating a task through an automated device that detects and demonstrates the user's actions, 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 chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, it is difficult for many people to maintain early rising and healthy living habits. In particular, in the support for waking up by an alarm clock, it is difficult to wake up from a deep sleep with existing methods, and it is also a problem to maintain a certain level of motivation in forming habits after waking up. In addition, there is a lack of means to effectively utilize health-related information that an individual has and improve the quality of life in general. It is an object of the present invention to solve such problems.

Means for Solving the Problems

[0005] This invention provides a reliable means of promoting wakefulness by using a terminal with an alarm that will not stop until a specific task is completed. It also incorporates a tracking mechanism to maintain motivation by recording user activity information and visualizing progress. Furthermore, it includes a communication mechanism to create an environment where users can interact with other users through a community and encourage each other. These functions aim to improve the establishment of daily habits and overall health for users. By analyzing user sleep and dietary information and providing feedback for lifestyle improvement, it enables optimal advice tailored to individual lifestyles.

[0006] A "specific task" is an issue or problem that the user must resolve in order to stop the alarm.

[0007] An "alarm function" is a feature that emits sound or vibration at a set time to wake the user.

[0008] A "terminal" is an electronic device used to perform an alarm function, and includes smartphones and dedicated devices.

[0009] "Activity information" refers to information related to the user's daily actions and habits, such as the amount of exercise or study time.

[0010] "Progress status" is an indicator that shows the degree to which a user has achieved their goals and the state of their progress.

[0011] "Visualization" refers to visually representing collected data and presenting it in a way that is easy for users to understand.

[0012] "Community features" refer to online or offline platforms for users to interact with other users and share information.

[0013] "Lifestyle improvement" refers to efforts to improve health and efficiency by reviewing daily actions and habits.

[0014] "Feedback" refers to evaluations and advice provided to users, including information to improve their behavior. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of 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]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

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

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

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

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

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

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

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

[0023] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] This invention is a system that helps users wake up effectively and build healthy lifestyle habits. The system integrates alarm functions, habit tracking, community features, and feedback functions.

[0037] First, the user sets an alarm through an application on their device. By selecting a mission alarm, they can utilize a system where the alarm will not stop until a specific task is completed. The server prepares data related to this task and sends it to the device at the specified time. The device sounds the alarm and displays the task on the screen. This encourages the user to wake up naturally.

[0038] Next, the user's daily activities are recorded and tracked. This information is sent from the device to the server, and the user's progress is visualized in real time. The device displays the user's achievements in graphs and progress bars to help maintain motivation.

[0039] Furthermore, users can utilize community features to interact with other participants. The server manages user profiles and progress, making them shareable on the online platform. The device provides an interface that facilitates user communication, creating an environment where users can encourage each other and work towards their goals.

[0040] Finally, this system provides feedback to the user. The server analyzes the user's data and generates specific advice on improving sleep and diet. Based on this, the device provides appropriate feedback to the user and helps them improve their lifestyle.

[0041] For example, if a user sets a habit of "waking up at 7 AM every morning and doing 20 minutes of stretching," the mission alarm will sound at 7 AM as a task displaying a stretching pose. When the user performs the stretches, the device records the activity and sends it to the server. The server updates the progress based on this data and displays the visualized results on the device. The server also suggests recipes for a proper breakfast, which the device then displays to the user. Users can also utilize the community feature to receive feedback from other users with similar goals.

[0042] As described above, this system provides comprehensive support for users' daily lives and helps them establish healthy lifestyle habits.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user launches the application and selects a specific time and mission type on the alarm settings screen.

[0046] Step 2:

[0047] The device sends the alarm settings selected by the user to the server and requests the data necessary for the mission.

[0048] Step 3:

[0049] The server searches for appropriate mission data (e.g., puzzles or tasks) based on the user's selection and prepares to send it to the terminal.

[0050] Step 4:

[0051] The device sounds an alarm at the specified time and simultaneously displays mission data on the screen. The user reviews this data and attempts to complete the task.

[0052] Step 5:

[0053] When the user completes a task, the device sends the completion data to the server and stops the alarm.

[0054] Step 6:

[0055] The server records the task completion data it receives and updates the user's activity database.

[0056] Step 7:

[0057] When a user enters their daily activities on the habit tracking screen, the device sends that information to the server.

[0058] Step 8:

[0059] The server receives activity information, updates progress, and generates new graphs and statistical data.

[0060] Step 9:

[0061] The device provides the user with visual feedback and displays progress based on update data from the server.

[0062] Step 10:

[0063] When a user utilizes community features, their device sends their progress and messages to the server for sharing with other users.

[0064] Step 11:

[0065] The server updates the community database, records user interaction information, and sends necessary notifications.

[0066] Step 12:

[0067] The server analyzes the user's behavioral data, generates feedback and advice for improving lifestyle habits, and sends it to the device.

[0068] Step 13:

[0069] The device displays feedback information to the user and suggests specific steps for improvement.

[0070] Step 14:

[0071] Based on user feedback, the system adjusts daily activities and habits and sets new goals.

[0072] (Example 1)

[0073] 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."

[0074] In modern society, it is difficult for individuals to maintain healthy lifestyle habits and sustain motivation. In particular, daily life often lacks regular waking times, proper activity records, and social interaction, which negatively impacts quality of life. To address this challenge, a system that comprehensively supports these elements is necessary.

[0075] 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.

[0076] In this invention, the server includes notification means that provides tasks and does not stop until those tasks are completed, means that records individual behavioral data and visualizes progress, and means that provides a community function for individuals to interact with a group and motivate each other. This enables individuals to establish a regular daily rhythm, maintain healthy habits, and improve their motivation through interaction with the group.

[0077] A "task" refers to an action or activity that an individual must perform in order to achieve a specific objective.

[0078] A "notification means" is a device or method for notifying an individual of information, which operates until specified conditions are met.

[0079] An "information processing device" refers to an electronic system for receiving, processing, and manipulating data, enabling the provision of services to users.

[0080] "Personal behavioral data" refers to information about an individual's activities and behaviors in their daily life, which allows for the understanding of individual habits and progress.

[0081] "Means of visualizing progress" refers to methods or devices for visually displaying an individual's activity status, such as graphs or progress bars.

[0082] The "community function" refers to the function of providing a social work environment in which participants can interact with each other and encourage and support one another.

[0083] A "circulation for improving lifestyle" refers to a means of providing information that offers specific advice and recommendations with the aim of improving individuals' health and habits.

[0084] "Sound output" refers to audio signals emitted from electronic devices and is used as a means of notification to the user.

[0085] "Rest information" refers to data on an individual's sleep patterns and quality, and is used to improve their health.

[0086] "Nutritional intake information" refers to data about an individual's diet and the nutrients they consume, and is used to support improvements in lifestyle habits.

[0087] "Means of making recommendations" refers to methods or devices that provide specific instructions or recommendations for living a better life, based on individual data.

[0088] This invention is a system that supports healthy lifestyle habits through the interaction of a server, a terminal, and a user.

[0089] Alarm function

[0090] Users set alarms using applications installed on their devices. These alarms include a feature that prevents them from stopping until the user completes specific tasks. The server prepares data related to these tasks in advance and sends it to the device at the specified time to encourage a natural awakening of the user.

[0091] Data processing and visualization

[0092] The device records user behavior data and sends it to the server. This data includes information about the user's daily activities and progress. The server analyzes this data in real time and sends the results back to the device in a visualized format. This allows the user to check the progress of individual activities using graphs and progress bars.

[0093] Community features and feedback

[0094] Users can interact with other users by utilizing the community features provided on their devices. The server manages user profiles and progress, and provides an environment where users can easily give each other feedback and motivate one another. Furthermore, the server generates advice for improving lifestyle habits based on user activity data and notifies users via their devices.

[0095] The technologies used

[0096] The hardware used in this system consists of standard smartphones and tablets, while cloud computing technology is employed on the server side. The software includes data analysis and visualization tools. Furthermore, a generative AI model is used to automatically generate recommendations based on user activity data.

[0097] Specific example

[0098] As a concrete example, a user sets an alarm for the task "Wake up at 7 AM every morning and do 20 minutes of stretching." In this case, the server sends an alarm at 7 AM along with a task showing the stretching poses to the device. Once the user finishes stretching, the device records this information and sends it to the server to update the progress. Based on this data, the server also suggests breakfast recipes that are appropriate for the current situation.

[0099] Example of a prompt:

[0100] "I want to develop a system that supports healthy lifestyle habits. I want to include a feature that stops the alarm after a specific task is completed each morning."

[0101] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0102] Step 1:

[0103] The user opens an application on their device and sets an alarm. As input, the user enters the alarm time and details of the mission task (e.g., stretching, puzzle). Based on this information, the device creates and saves the settings data. At this stage, no data processing is performed; the specified settings are maintained as the information needed for the next process.

[0104] Step 2:

[0105] The server sends detailed information about the user's selected mission to the terminal based on the set time. The server receives alarm setting data as input and sends mission-related data (e.g., stretching pose images, puzzle problems) to the terminal as output. The server performs necessary database queries, reformats the information, and then sends it.

[0106] Step 3:

[0107] The terminal sounds an alarm at a specified time and displays the mission task on the screen. It uses mission data received from the server as input. The output includes an alarm sound and an interface for the user to visually confirm the task details. The terminal visualizes the task in a specified format and prompts the user to take action.

[0108] Step 4:

[0109] The user follows the instructions on the terminal and performs the mission task. Input involves visually confirming the mission instructions (e.g., stretching pose) and acting accordingly. Output is a task completion report recorded on the terminal. When the user meets the specified conditions, the alarm stops and a task completion message is sent to the server.

[0110] Step 5:

[0111] The server receives and analyzes user activity data. User activity log data is sent as input, and progress is evaluated based on this data. Output includes progress reports based on the analysis results and lifestyle improvement advice. The server uses a generative AI model to perform advanced data analysis and create personalized feedback for the user.

[0112] Step 6:

[0113] The device receives feedback from the server and notifies the user. It receives analytical data from the server as input and visualizes the information as output in a way that is easy for the user to understand. This includes advice and progress graphs to help improve lifestyle habits, which are provided to the user through the notification function.

[0114] (Application Example 1)

[0115] 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."

[0116] In modern society, establishing healthy lifestyle habits is crucial, but many people find it difficult to consistently achieve this. Furthermore, a lack of effective support systems that encourage self-improvement through maintaining regular daily routines and providing appropriate feedback and communication is a significant problem. In particular, there is a need to utilize technologically advanced automated devices to support users' daily lives and promote actual behavioral change.

[0117] 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.

[0118] In this invention, the server includes means for promoting the user's natural awakening through an information processing device equipped with a notification function that presents specific tasks and does not stop until they are completed; means for recording user behavior information and visualizing progress; and means for facilitating tasks through an automated device that detects and demonstrates user actions. This makes it possible to effectively support the establishment of healthy lifestyle habits and the maintenance of motivation for the user.

[0119] A "specific task" is a concrete task that the user must complete in order to wake up.

[0120] An "information processing device equipped with a notification function" is a device that presents a specific task at a set time and operates to encourage its completion.

[0121] "Behavioral information" refers to information related to a user's daily life activities that the system records and analyzes.

[0122] "Methods for visualizing progress" refer to techniques for visually displaying a user's level of achievement and progress based on recorded behavioral information.

[0123] The "communication function" is a feature that allows users to interact with and encourage other participants.

[0124] "Responses for improving lifestyle habits" refers to the output of a system that provides advice and guidance for improvement based on the user's behavioral data.

[0125] "Means of facilitating tasks through automated equipment" refers to methods that use robots or other automated devices to advise and guide users on actual actions.

[0126] To realize this invention, an information processing device used by the user, a server that processes data, and automated equipment that assists the user's actions are required.

[0127] First, the terminal, acting as an information processing device, monitors and records the user's actions. This device has a notification function that sends task notifications at set times, waking the user up by presenting specific tasks. The user's awakening is facilitated by completing the presented tasks.

[0128] Next, the server receives user behavior information and analyzes and visualizes the progress in real time. This allows for an intuitive understanding of changes in the user's lifestyle. Furthermore, the server uses a generative AI model to generate appropriate lifestyle improvement feedback for the user and transmits it to the terminal. An example of a prompt sent to the generative AI model is, "Please create specific advice based on past activity data to generate user feedback."

[0129] Furthermore, automated devices recognize user actions and facilitate the correct execution of tasks. For example, a robot can demonstrate the correct stretching technique, allowing users to visually learn and then act upon it. This enables users to improve their lifestyle habits more smoothly. Overall, this system provides comprehensive support for users to establish and maintain a healthy daily life.

[0130] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0131] Step 1:

[0132] The user sets an alarm on the device. The input is the user's wake-up time and task type, and the output is the saving of this setting information. The device prepares to present tasks based on the alarm time.

[0133] Step 2:

[0134] When the device reaches a set time, it sounds an alarm and displays a specific task on the screen. The input is the user's alarm setting, and the output is an audio alarm and a display of the task. At this stage, the device prompts the user to complete the task immediately.

[0135] Step 3:

[0136] The user performs a given task (e.g., stretching). During this process, the user's movements are recorded by sensors. The input is the user's physical movements, and the output is the motion data from the sensors. The user's movements are used to verify that the task is being performed correctly.

[0137] Step 4:

[0138] The server receives user activity data and analyzes the progress. The input is activity data, and the output is a visualization of the progress. The server analyzes the data to calculate the user's achievement level and visualizes it as charts and graphs.

[0139] Step 5:

[0140] The server uses a generated AI model to create feedback for the user and send it to the terminal. The input is past activity data and a prompt, and the output is specific advice. A prompt such as "Generate specific advice based on past activity data to generate user feedback" is used.

[0141] Step 6:

[0142] The device displays feedback to the user, encouraging further action. This feedback is expressed in audio or text, contributing to increased user motivation. The input is the feedback content, and the output is what is presented to the user. The device provides advice for the next task or for improving one's life.

[0143] 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.

[0144] This invention is a system that incorporates an emotion engine that recognizes the user's emotions and uses them to support improvements in lifestyle habits. This system includes an alarm function, habit tracking, community function, and emotion feedback function, providing personalized support tailored to the individual needs of the user.

[0145] First, when a user sets an alarm through their device, the emotion engine is activated and detects the user's emotional state using facial recognition and voice analysis. Based on this data, the server adjusts the alarm volume and tone to help the user wake up more comfortably. The device then executes this adjusted alarm at the specified time.

[0146] The user's daily activities are continuously recorded on the device and sent to the server. The emotion engine comprehensively understands the user's state, including emotional data related to these activities. This information is used for habit tracking, and the device displays progress in real time.

[0147] The community feature takes user emotional data into consideration when facilitating interaction. The server suggests communication and content appropriate to the user's emotional state. As a result, users can more effectively encourage each other and maintain their motivation.

[0148] Furthermore, the system provides feedback based on the user's emotions. The server analyzes emotional data and generates the most effective lifestyle improvement advice for the user. This feedback is displayed through the device, allowing the user to receive it in an actionable form.

[0149] For example, if a user is feeling stressed, the emotion engine detects this, and the server suggests relaxing music as an alarm sound. The system identifies typical stress patterns from the user's activity data, and the community encourages connection with other users who have similar experiences. Furthermore, feedback includes suggestions for coping mechanisms and relaxation techniques, providing users with concrete means to improve their situation.

[0150] In this way, the present invention uses emotions as a key to support all aspects of the user's life and enables personalized health management that takes into account individual needs.

[0151] The following describes the processing flow.

[0152] Step 1:

[0153] When a user sets an alarm using the device, the device activates an emotion engine and collects emotion data through facial recognition and voice analysis of the user.

[0154] Step 2:

[0155] The device sends emotional data to the server, which then analyzes the user's current emotional state based on this data.

[0156] Step 3:

[0157] The server personalizes the alarm sound type and volume based on the analyzed emotions and sends the corresponding settings to the device. At this stage, music and tones that promote relaxation or vitality for the user are selected.

[0158] Step 4:

[0159] The device will activate a pre-set alarm at a specified time and use the most appropriate sound based on the user's emotional state to encourage waking. It will also display a message on the screen that matches the user's emotions.

[0160] Step 5:

[0161] When a user performs their daily activities and inputs that data into their device, the device sends the activity data, along with emotional data, to the server.

[0162] Step 6:

[0163] The server combines activity data and sentiment data to evaluate the overall user state and generates a report that visualizes the progress.

[0164] Step 7:

[0165] The terminal displays reports received from the server to the user, allowing them to check their progress and emotional state. This information makes it easier for users to manage themselves.

[0166] Step 8:

[0167] Users utilize community features to begin interacting with other users experiencing similar emotional states through their devices. The emotion engine adapts this communication to the user's current emotions.

[0168] Step 9:

[0169] The server monitors interactions within the community and provides relevant content and encouraging messages based on the users' emotional states.

[0170] Step 10:

[0171] The server continues to analyze emotional data, generates personalized feedback to improve lifestyle habits, and sends it to the device.

[0172] Step 11:

[0173] The device displays generated feedback to the user and encourages them to apply advice related to their emotional state to their daily life.

[0174] In this way, the entire system works in conjunction with the user's emotions, supporting their daily life and providing means to maintain an optimal state of mind.

[0175] (Example 2)

[0176] 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 will be referred to as the "terminal."

[0177] Conventional lifestyle improvement systems do not adequately provide personalized support that takes into account the user's emotional state. As a result, users are not given feedback or opportunities for interaction that are appropriate to their actual needs and circumstances, leading to a limited effectiveness in improving their lifestyles.

[0178] 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.

[0179] In this invention, the server includes means for detecting the user's emotional state using facial recognition and voice analysis, means for adjusting the volume and tone of alarms based on the detected emotional data, and means for recording the user's daily activities and analyzing their emotional state. This makes it possible to support personalized lifestyle improvements tailored to each user's individual emotional state.

[0180] "User emotional state" refers to the user's psychological and emotional state as detected through facial recognition and voice analysis.

[0181] "Facial recognition" refers to a technology that digitally analyzes the features of a user's face to identify their emotional state.

[0182] "Voice analysis" refers to the process of analyzing a user's speech content and tone of voice to evaluate their emotional state.

[0183] "Adjusting the alarm volume and tone" refers to changing the loudness and tone of the alarm sound based on the detected emotional state.

[0184] "Recording daily activities" refers to the process of accumulating data about a user's daily actions and activities.

[0185] "Analysis of emotional states" refers to analyzing users' emotional patterns using collected data.

[0186] "Personalized support for improving lifestyle habits" refers to providing specific and appropriate advice and suggestions tailored to each user's emotional state and activity patterns.

[0187] This invention is a system that recognizes the user's emotional state and supports the improvement of their lifestyle. The system is mainly composed of a server and terminals.

[0188] The device activates an emotion engine when the user sets an alarm. This emotion engine uses facial recognition and voice analysis technology to detect the user's emotional state. The device sends this emotion data to a server. Based on the received emotion data, the server uses a generative AI model to adjust the alarm volume and tone to ensure the user wakes up optimally. This adjusted alarm is then triggered at the time specified by the device.

[0189] Users' daily activities are continuously recorded using their devices and sent to a server along with emotional data. The server analyzes this data to understand the user's emotional state and activity patterns. This information is used for tracking lifestyle habits and for community interaction. The server provides users with optimal content and interaction opportunities tailored to their emotional state.

[0190] For example, if a user is feeling stressed, the system will detect this and the server will suggest relaxing music as an alarm sound. It will also use the user's past activity data to suggest ways to facilitate interaction with other users who have similar experiences within a community. Feedback will include specific suggestions for improvement, such as relaxation techniques.

[0191] The generative AI model uses emotional data to generate feedback tailored to each user's individual situation. For example, it can generate effective advice using a prompt such as, "Please suggest relaxation methods for a user who is feeling stressed."

[0192] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0193] Step 1:

[0194] The user sets an alarm on the device. As soon as the set alarm time is sent to the device as input, the device activates its emotion engine. This allows the device to detect and collect the user's emotion data using facial recognition and voice analysis. This data is then sent by the device to the server as the initial output.

[0195] Step 2:

[0196] The server receives emotional data from the device as input. The server then uses a generative AI model to begin analyzing this data. Through this analysis, the server determines the user's emotional state and passes the result as output to an alarm adjustment algorithm. This algorithm determines an appropriate alarm volume and tone based on the user's emotional state and notifies the device of these settings.

[0197] Step 3:

[0198] The terminal receives the pre-configured alarm settings from the server and prepares to execute them. The input here is the pre-configured alarm settings from the server, and the final output is the alarm sound that will actually be used to wake the user. At the specified time, the terminal plays this alarm via an external output device to help the user wake up comfortably.

[0199] Step 4:

[0200] As users engage in daily activities, the device continuously records activity data (e.g., steps taken, exercise level, etc.) on a 24-hour basis. Along with this activity data, emotional data is also collected over time. This data is periodically transmitted from the device to the server, which then functions as input to the server.

[0201] Step 5:

[0202] The server analyzes daily activity and emotional data received periodically from the terminal. This analysis reveals patterns in the user's daily activities and fluctuations in their emotions. The server uses this data to generate output for community features and content suggestions.

[0203] Step 6:

[0204] Based on the analysis results, the server suggests the most suitable community content and interaction opportunities for the user. This suggestion is sent to the terminal as output and presented to the user. For example, interaction with users who share similar emotional tendencies is recommended, where they can share experiences and encourage each other.

[0205] Step 7:

[0206] The server generates lifestyle improvement advice tailored to the user based on analytical data obtained using a generative AI model. This feedback is provided to the user via the terminal. This feedback includes specific and actionable suggestions based on the user's emotional state and behavioral patterns. For example, based on a prompt such as "Please suggest relaxation methods for when the user is feeling stressed," the server will suggest relaxation techniques.

[0207] (Application Example 2)

[0208] 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".

[0209] In modern urban life, residents face challenges in managing their daily habits and emotional states. In particular, there is a need for effective methods to appropriately manage stress and discomfort caused by emotional states and improve their quality of life. Furthermore, there is a lack of means for residents to actively participate in urban events and activities to enrich their lives.

[0210] 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.

[0211] In this invention, the server includes means for recording user activity information and visualizing progress, means for providing group functions for users to exchange information with other participants and encourage each other, and means for analyzing users' emotional information and notifying users of events and activities related to urban life. As a result, residents can receive personalized support based on their emotions, improving their quality of life and enabling them to actively participate in urban activities.

[0212] A "signaling function that provides a task and does not stop until that task is completed" is a function in which a device prompts the user to perform a specific activity and does not dismiss notifications such as alarms until that activity is completed.

[0213] "Means for recording activity information and visualizing progress" refers to technologies that collect data on users' daily activities and display it visually, allowing users to easily check their own progress.

[0214] "Group functions for exchanging information with other participants and encouraging each other" refers to functions that provide communication tools that allow users to interact with and encourage other users who have similar goals.

[0215] "A means of analyzing emotional information and notifying users of events and activities related to urban life" refers to a system that analyzes the user's emotional state and provides recommendations for urban events and activities based on that information.

[0216] "Means of providing opinions for improving lifestyle habits" refers to methods of presenting specific advice to users based on collected data to help them achieve a healthy lifestyle.

[0217] This invention provides a system that recognizes the user's emotions and supports the improvement of their lifestyle based on those emotions. For implementation, the system is composed of various hardware and software combinations.

[0218] The server receives facial images and audio data sent from the user's device and performs sentiment analysis. Sentiment analysis uses facial recognition and audio analysis libraries to extract data about the user's emotional state. For example, the open-source `face_recognition` library is used for facial recognition, and the `sound_analysis` library is used for audio analysis.

[0219] The analyzed emotional data is integrated on the server to generate appropriate feedback and advice for improving lifestyle habits for the user. This allows users to receive personalized suggestions based on their individual emotional state.

[0220] The device uses data received from the server to notify users of relevant events and activities in urban life. For example, when a user is feeling stressed, it provides information about relaxing music events. This notification function allows users to receive timely information to improve their quality of life.

[0221] For example, users who want to enjoy outdoor activities on the weekend can be notified of nearby hiking events or activities in nature parks. The system also includes a group function for sharing information and mutual encouragement, allowing users to support each other in improving their lifestyles.

[0222] Examples of prompts include, "Please suggest events in a smart city that are tailored to the user's emotions," and "Please generate suggestions for urban services to alleviate the stress the user is currently experiencing." By inputting these prompts into the AI ​​model, it becomes possible to provide more effective suggestions for improving daily life.

[0223] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0224] Step 1:

[0225] The user activates the device, and facial images and audio data are collected.

[0226] In this step, the user uses the device's camera and microphone to input their facial image and voice. The input data is sent to a server for sentiment analysis. This data collection provides fundamental information for accurately understanding the user's emotional state.

[0227] Step 2:

[0228] The server analyzes the facial image and audio data it receives to identify the emotional state.

[0229] The server analyzes the received facial image using a facial recognition library (e.g., face_recognition). Simultaneously, it analyzes the audio data using a sound analysis library (e.g., sound_analysis). This identifies the user's emotional state from their facial expressions and tone of voice. As output, it generates data on the analyzed emotional state, which serves as the basis for decisions in the next step.

[0230] Step 3:

[0231] Based on the emotional state analyzed by the server, it generates suggestions for appropriate lifestyle improvements.

[0232] The server uses a generative AI model to analyze emotional state data and generate lifestyle improvement suggestions tailored to the user. For example, if the user is feeling stressed, it will generate a prompt recommending urban events that could help them relax. An example of a prompt might be, "Please suggest some events in a smart city that are appropriate for the user's emotional state." The output will be data containing specific suggestions, which will be sent to the terminal.

[0233] Step 4:

[0234] The terminal notifies the user of the suggestions it has received from the server.

[0235] The device receives suggestions sent from the server and presents them to the user using its notification function. Specific actions include displaying them in the notification bar and generating pop-up windows. This allows users to receive timely lifestyle improvement information tailored to their needs.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] [Second Embodiment]

[0240] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0241] 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.

[0242] 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).

[0243] 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.

[0244] 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.

[0245] 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).

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] 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".

[0252] This invention is a system that helps users wake up effectively and build healthy lifestyle habits. The system integrates alarm functions, habit tracking, community features, and feedback functions.

[0253] First, the user sets an alarm through an application on their device. By selecting a mission alarm, they can utilize a system where the alarm will not stop until a specific task is completed. The server prepares data related to this task and sends it to the device at the specified time. The device sounds the alarm and displays the task on the screen. This encourages the user to wake up naturally.

[0254] Next, the user's daily activities are recorded and tracked. This information is sent from the device to the server, and the user's progress is visualized in real time. The device displays the user's achievements in graphs and progress bars to help maintain motivation.

[0255] Furthermore, users can utilize community features to interact with other participants. The server manages user profiles and progress, making them shareable on the online platform. The device provides an interface that facilitates user communication, creating an environment where users can encourage each other and work towards their goals.

[0256] Finally, this system provides feedback to the user. The server analyzes the user's data and generates specific advice on improving sleep and diet. Based on this, the device provides appropriate feedback to the user and helps them improve their lifestyle.

[0257] For example, if a user sets a habit of "waking up at 7 AM every morning and doing 20 minutes of stretching," the mission alarm will sound at 7 AM as a task displaying a stretching pose. When the user performs the stretches, the device records the activity and sends it to the server. The server updates the progress based on this data and displays the visualized results on the device. The server also suggests recipes for a proper breakfast, which the device then displays to the user. Users can also utilize the community feature to receive feedback from other users with similar goals.

[0258] As described above, this system provides comprehensive support for users' daily lives and helps them establish healthy lifestyle habits.

[0259] The following describes the processing flow.

[0260] Step 1:

[0261] The user launches the application and selects a specific time and mission type on the alarm settings screen.

[0262] Step 2:

[0263] The device sends the alarm settings selected by the user to the server and requests the data necessary for the mission.

[0264] Step 3:

[0265] The server searches for appropriate mission data (e.g., puzzles or tasks) based on the user's selection and prepares to send it to the terminal.

[0266] Step 4:

[0267] The device sounds an alarm at the specified time and simultaneously displays mission data on the screen. The user reviews this data and attempts to complete the task.

[0268] Step 5:

[0269] When the user completes a task, the device sends the completion data to the server and stops the alarm.

[0270] Step 6:

[0271] The server records the task completion data it receives and updates the user's activity database.

[0272] Step 7:

[0273] When a user enters their daily activities on the habit tracking screen, the device sends that information to the server.

[0274] Step 8:

[0275] The server receives activity information, updates progress, and generates new graphs and statistical data.

[0276] Step 9:

[0277] Based on the update data from the server, the terminal provides visual feedback to the user and displays the progress status.

[0278] Step 10:

[0279] When the user uses the community function, the terminal sends the user's progress and messages to the server for sharing with other users.

[0280] Step 11:

[0281] The server updates the community database, records the communication information between users, and sends necessary notifications.

[0282] Step 12:

[0283] The server analyzes the user's behavior data, generates feedback and advice for improving living habits, and sends them to the terminal.

[0284] Step 13:

[0285] The terminal displays the feedback information to the user and proposes specific steps for improvement.

[0286] Step 14:

[0287] Based on the proposed feedback, the user adjusts their daily activities and habits and sets new goals.

[0288] (Example 1)

[0289] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0290] In modern society, it is difficult for individuals to maintain healthy lifestyle habits and sustain motivation. In particular, daily life often lacks regular waking times, proper activity records, and social interaction, which negatively impacts quality of life. To address this challenge, a system that comprehensively supports these elements is necessary.

[0291] 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.

[0292] In this invention, the server includes notification means that provides tasks and does not stop until those tasks are completed, means that records individual behavioral data and visualizes progress, and means that provides a community function for individuals to interact with a group and motivate each other. This enables individuals to establish a regular daily rhythm, maintain healthy habits, and improve their motivation through interaction with the group.

[0293] A "task" refers to an action or activity that an individual must perform in order to achieve a specific objective.

[0294] A "notification means" is a device or method for notifying an individual of information, which operates until specified conditions are met.

[0295] An "information processing device" refers to an electronic system for receiving, processing, and manipulating data, enabling the provision of services to users.

[0296] "Personal behavioral data" refers to information about an individual's activities and behaviors in their daily life, which allows for the understanding of individual habits and progress.

[0297] "Means of visualizing progress" refers to methods or devices for visually displaying an individual's activity status, such as graphs or progress bars.

[0298] The "community function" is a function that provides a social working environment where participants can communicate with each other and encourage and support one another.

[0299] The "circulation for lifestyle improvement" refers to an information provision means that provides specific advice and recommendations for the purpose of improving an individual's health and habits.

[0300] The "sound output" is an audio signal emitted from an electronic device and is used as a notification means for the user.

[0301] The "rest information" indicates data related to an individual's sleep pattern and quality, and is information for improving health based on this.

[0302] The "nutritional intake information" means data related to an individual's diet content and the nutrients ingested, and is information used to support the improvement of lifestyle habits.

[0303] The "means of giving advice" is a method or device that provides specific instructions and recommendations for leading a better life based on an individual's data.

[0304] The present invention is a system that supports a healthy lifestyle through the interaction of a server, a terminal, and a user.

[0305] Alarm function

[0306] The user sets an alarm using an application installed on the terminal. The alarm includes a function that does not stop until the user solves a specific task. The server prepares data related to these tasks in advance and transmits it to the terminal at the specified time to prompt the user to wake up naturally.

[0307] Data processing and visualization

[0308] The device records user behavior data and sends it to the server. This data includes information about the user's daily activities and progress. The server analyzes this data in real time and sends the results back to the device in a visualized format. This allows the user to check the progress of individual activities using graphs and progress bars.

[0309] Community features and feedback

[0310] Users can interact with other users by utilizing the community features provided on their devices. The server manages user profiles and progress, and provides an environment where users can easily give each other feedback and motivate one another. Furthermore, the server generates advice for improving lifestyle habits based on user activity data and notifies users via their devices.

[0311] The technologies used

[0312] The hardware used in this system consists of standard smartphones and tablets, while cloud computing technology is employed on the server side. The software includes data analysis and visualization tools. Furthermore, a generative AI model is used to automatically generate recommendations based on user activity data.

[0313] Specific example

[0314] As a concrete example, a user sets an alarm for the task "Wake up at 7 AM every morning and do 20 minutes of stretching." In this case, the server sends an alarm at 7 AM along with a task showing the stretching poses to the device. Once the user finishes stretching, the device records this information and sends it to the server to update the progress. Based on this data, the server also suggests breakfast recipes that are appropriate for the current situation.

[0315] Example of a prompt:

[0316] "I want to develop a system that supports healthy lifestyle habits. I want to include a feature that stops the alarm after a specific task is completed each morning."

[0317] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0318] Step 1:

[0319] The user opens an application on their device and sets an alarm. As input, the user enters the alarm time and details of the mission task (e.g., stretching, puzzle). Based on this information, the device creates and saves the settings data. At this stage, no data processing is performed; the specified settings are maintained as the information needed for the next process.

[0320] Step 2:

[0321] The server sends detailed information about the user's selected mission to the terminal based on the set time. The server receives alarm setting data as input and sends mission-related data (e.g., stretching pose images, puzzle problems) to the terminal as output. The server performs necessary database queries, reformats the information, and then sends it.

[0322] Step 3:

[0323] The terminal sounds an alarm at a specified time and displays the mission task on the screen. It uses mission data received from the server as input. The output includes an alarm sound and an interface for the user to visually confirm the task details. The terminal visualizes the task in a specified format and prompts the user to take action.

[0324] Step 4:

[0325] The user follows the instructions on the terminal and performs the mission task. Input involves visually confirming the mission instructions (e.g., stretching pose) and acting accordingly. Output is a task completion report recorded on the terminal. When the user meets the specified conditions, the alarm stops and a task completion message is sent to the server.

[0326] Step 5:

[0327] The server receives and analyzes user activity data. User activity log data is sent as input, and progress is evaluated based on this data. Output includes progress reports based on the analysis results and lifestyle improvement advice. The server uses a generative AI model to perform advanced data analysis and create personalized feedback for the user.

[0328] Step 6:

[0329] The device receives feedback from the server and notifies the user. It receives analytical data from the server as input and visualizes the information as output in a way that is easy for the user to understand. This includes advice and progress graphs to help improve lifestyle habits, which are provided to the user through the notification function.

[0330] (Application Example 1)

[0331] 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."

[0332] In modern society, establishing healthy lifestyle habits is crucial, but many people find it difficult to consistently achieve this. Furthermore, a lack of effective support systems that encourage self-improvement through maintaining regular daily routines and providing appropriate feedback and communication is a significant problem. In particular, there is a need to utilize technologically advanced automated devices to support users' daily lives and promote actual behavioral change.

[0333] 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.

[0334] In this invention, the server includes means for promoting the user's natural awakening through an information processing device equipped with a notification function that presents specific tasks and does not stop until they are completed; means for recording user behavior information and visualizing progress; and means for facilitating tasks through an automated device that detects and demonstrates user actions. This makes it possible to effectively support the establishment of healthy lifestyle habits and the maintenance of motivation for the user.

[0335] A "specific task" is a concrete task that the user must complete in order to wake up.

[0336] An "information processing device equipped with a notification function" is a device that presents a specific task at a set time and operates to encourage its completion.

[0337] "Behavioral information" refers to information related to a user's daily life activities that the system records and analyzes.

[0338] "Methods for visualizing progress" refer to techniques for visually displaying a user's level of achievement and progress based on recorded behavioral information.

[0339] The "communication function" is a feature that allows users to interact with and encourage other participants.

[0340] "Responses for improving lifestyle habits" refers to the output of a system that provides advice and guidance for improvement based on the user's behavioral data.

[0341] "Means of facilitating tasks through automated equipment" refers to methods that use robots or other automated devices to advise and guide users on actual actions.

[0342] To realize this invention, an information processing device used by the user, a server that processes data, and automated equipment that assists the user's actions are required.

[0343] First, the terminal, acting as an information processing device, monitors and records the user's actions. This device has a notification function that sends task notifications at set times, waking the user up by presenting specific tasks. The user's awakening is facilitated by completing the presented tasks.

[0344] Next, the server receives user behavior information and analyzes and visualizes the progress in real time. This allows for an intuitive understanding of changes in the user's lifestyle. Furthermore, the server uses a generative AI model to generate appropriate lifestyle improvement feedback for the user and transmits it to the terminal. An example of a prompt sent to the generative AI model is, "Please create specific advice based on past activity data to generate user feedback."

[0345] Furthermore, automated devices recognize user actions and facilitate the correct execution of tasks. For example, a robot can demonstrate the correct stretching technique, allowing users to visually learn and then act upon it. This enables users to improve their lifestyle habits more smoothly. Overall, this system provides comprehensive support for users to establish and maintain a healthy daily life.

[0346] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0347] Step 1:

[0348] The user sets an alarm on the device. The input is the user's wake-up time and task type, and the output is the saving of this setting information. The device prepares to present tasks based on the alarm time.

[0349] Step 2:

[0350] When the device reaches a set time, it sounds an alarm and displays a specific task on the screen. The input is the user's alarm setting, and the output is an audio alarm and a display of the task. At this stage, the device prompts the user to complete the task immediately.

[0351] Step 3:

[0352] The user performs a given task (e.g., stretching). During this process, the user's movements are recorded by sensors. The input is the user's physical movements, and the output is the motion data from the sensors. The user's movements are used to verify that the task is being performed correctly.

[0353] Step 4:

[0354] The server receives user activity data and analyzes the progress. The input is activity data, and the output is a visualization of the progress. The server analyzes the data to calculate the user's achievement level and visualizes it as charts and graphs.

[0355] Step 5:

[0356] The server uses a generated AI model to create feedback for the user and send it to the terminal. The input is past activity data and a prompt, and the output is specific advice. A prompt such as "Generate specific advice based on past activity data to generate user feedback" is used.

[0357] Step 6:

[0358] The device displays feedback to the user, encouraging further action. This feedback is expressed in audio or text, contributing to increased user motivation. The input is the feedback content, and the output is what is presented to the user. The device provides advice for the next task or for improving one's life.

[0359] 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.

[0360] This invention is a system that incorporates an emotion engine that recognizes the user's emotions and uses them to support improvements in lifestyle habits. This system features an alarm function, habit tracking, community function, and emotion feedback function, providing personalized support tailored to the individual needs of the user.

[0361] First, when a user sets an alarm through their device, the emotion engine is activated and detects the user's emotional state using facial recognition and voice analysis. Based on this data, the server adjusts the alarm volume and tone to help the user wake up more comfortably. The device then executes this adjusted alarm at the specified time.

[0362] The user's daily activities are continuously recorded on the device and sent to the server. The emotion engine comprehensively understands the user's state, including emotional data related to these activities. This information is used for habit tracking, and the device displays progress in real time.

[0363] The community feature takes user emotional data into consideration when facilitating interaction. The server suggests communication and content appropriate to the user's emotional state. As a result, users can more effectively encourage each other and maintain their motivation.

[0364] Furthermore, the system provides feedback based on the user's emotions. The server analyzes emotional data and generates the most effective lifestyle improvement advice for the user. This feedback is displayed through the device, allowing the user to receive it in an actionable form.

[0365] For example, if a user is feeling stressed, the emotion engine detects this, and the server suggests relaxing music as an alarm sound. The system identifies typical stress patterns from the user's activity data, and the community encourages connection with other users who have similar experiences. Furthermore, feedback includes suggestions for coping mechanisms and relaxation techniques, providing users with concrete means to improve their situation.

[0366] In this way, the present invention uses emotions as a key to support all aspects of the user's life and enables personalized health management that takes into account individual needs.

[0367] The following describes the processing flow.

[0368] Step 1:

[0369] When a user sets an alarm using the device, the device activates an emotion engine and collects emotion data through facial recognition and voice analysis of the user.

[0370] Step 2:

[0371] The device sends emotional data to the server, which then analyzes the user's current emotional state based on this data.

[0372] Step 3:

[0373] The server personalizes the alarm sound type and volume based on the analyzed emotions and sends the corresponding settings to the device. At this stage, music and tones that promote relaxation or vitality for the user are selected.

[0374] Step 4:

[0375] The device will activate a pre-set alarm at a specified time and use the most appropriate sound based on the user's emotional state to encourage waking. It will also display a message on the screen that matches the user's emotions.

[0376] Step 5:

[0377] When a user performs their daily activities and inputs that data into their device, the device sends the activity data, along with emotional data, to the server.

[0378] Step 6:

[0379] The server combines activity data and sentiment data to evaluate the overall user state and generates a report that visualizes the progress.

[0380] Step 7:

[0381] The terminal displays reports received from the server to the user, allowing them to check their progress and emotional state. This information makes it easier for users to manage themselves.

[0382] Step 8:

[0383] Users utilize community features to begin interacting with other users experiencing similar emotional states through their devices. The emotion engine adapts this communication to the user's current emotions.

[0384] Step 9:

[0385] The server monitors interactions within the community and provides relevant content and encouraging messages based on the users' emotional states.

[0386] Step 10:

[0387] The server continues to analyze emotional data, generates personalized feedback to improve lifestyle habits, and sends it to the device.

[0388] Step 11:

[0389] The device displays generated feedback to the user and encourages them to apply advice related to their emotional state to their daily life.

[0390] In this way, the entire system works in conjunction with the user's emotions, supporting their daily life and providing means to maintain an optimal state of mind.

[0391] (Example 2)

[0392] 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".

[0393] Conventional lifestyle improvement systems do not adequately provide personalized support that takes into account the user's emotional state. As a result, users are not given feedback or opportunities for interaction that are appropriate to their actual needs and circumstances, leading to a limited effectiveness in improving their lifestyles.

[0394] 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.

[0395] In this invention, the server includes means for detecting the user's emotional state using facial recognition and voice analysis, means for adjusting the volume and tone of alarms based on the detected emotional data, and means for recording the user's daily activities and analyzing their emotional state. This makes it possible to support personalized lifestyle improvements tailored to each user's individual emotional state.

[0396] "User emotional state" refers to the user's psychological and emotional state as detected through facial recognition and voice analysis.

[0397] "Facial recognition" refers to a technology that digitally analyzes the features of a user's face to identify their emotional state.

[0398] "Voice analysis" refers to the process of analyzing a user's speech content and tone of voice to evaluate their emotional state.

[0399] "Adjusting the alarm volume and tone" refers to changing the loudness and tone of the alarm sound based on the detected emotional state.

[0400] "Recording daily activities" refers to the process of accumulating data about a user's daily actions and activities.

[0401] "Analysis of emotional states" refers to analyzing users' emotional patterns using collected data.

[0402] "Personalized support for improving lifestyle habits" refers to providing specific and appropriate advice and suggestions tailored to each user's emotional state and activity patterns.

[0403] This invention is a system that recognizes the user's emotional state and supports the improvement of their lifestyle. The system is mainly composed of a server and terminals.

[0404] The device activates an emotion engine when the user sets an alarm. This emotion engine uses facial recognition and voice analysis technology to detect the user's emotional state. The device sends this emotion data to a server. Based on the received emotion data, the server uses a generative AI model to adjust the alarm volume and tone to ensure the user wakes up optimally. This adjusted alarm is then triggered at the time specified by the device.

[0405] Users' daily activities are continuously recorded using their devices and sent to a server along with emotional data. The server analyzes this data to understand the user's emotional state and activity patterns. This information is used for tracking lifestyle habits and for community interaction. The server provides users with optimal content and interaction opportunities tailored to their emotional state.

[0406] For example, if a user is feeling stressed, the system will detect this and the server will suggest relaxing music as an alarm sound. It will also use the user's past activity data to suggest ways to facilitate interaction with other users who have similar experiences within a community. Feedback will include specific suggestions for improvement, such as relaxation techniques.

[0407] The generative AI model uses emotional data to generate feedback tailored to each user's individual situation. For example, it can generate effective advice using a prompt such as, "Please suggest relaxation methods for a user who is feeling stressed."

[0408] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0409] Step 1:

[0410] The user sets an alarm on the device. As soon as the set alarm time is sent to the device as input, the device activates its emotion engine. This allows the device to detect and collect the user's emotion data using facial recognition and voice analysis. This data is then sent by the device to the server as the initial output.

[0411] Step 2:

[0412] The server receives emotional data from the device as input. The server then uses a generative AI model to begin analyzing this data. Through this analysis, the server determines the user's emotional state and passes the result as output to an alarm adjustment algorithm. This algorithm determines an appropriate alarm volume and tone based on the user's emotional state and notifies the device of these settings.

[0413] Step 3:

[0414] The terminal receives the pre-configured alarm settings from the server and prepares to execute them. The input here is the pre-configured alarm settings from the server, and the final output is the alarm sound that will actually be used to wake the user. At the specified time, the terminal plays this alarm via an external output device to help the user wake up comfortably.

[0415] Step 4:

[0416] As users engage in daily activities, the device continuously records activity data (e.g., steps taken, exercise level, etc.) on a 24-hour basis. Along with this activity data, emotional data is also collected over time. This data is periodically transmitted from the device to the server, which then functions as input to the server.

[0417] Step 5:

[0418] The server analyzes daily activity data and emotional data received periodically from the terminal. This analysis reveals patterns in the user's daily activities and fluctuations in their emotions. The server uses this data to generate output for community features and content suggestions.

[0419] Step 6:

[0420] Based on the analysis results, the server suggests the most suitable community content and interaction opportunities for the user. This suggestion is sent to the terminal as output and presented to the user. For example, interaction with users who share similar emotional tendencies is recommended, where they can share experiences and encourage each other.

[0421] Step 7:

[0422] The server generates lifestyle improvement advice tailored to the user based on analytical data obtained using a generative AI model. This feedback is provided to the user via the terminal. This feedback includes specific and actionable suggestions based on the user's emotional state and behavioral patterns. For example, based on a prompt such as "Please suggest relaxation methods for when the user is feeling stressed," the server will suggest relaxation techniques.

[0423] (Application Example 2)

[0424] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0425] In modern urban life, residents face challenges in managing their daily habits and emotional states. In particular, there is a need for effective methods to appropriately manage stress and discomfort caused by emotional states and improve their quality of life. Furthermore, there is a lack of means for residents to actively participate in urban events and activities to enrich their lives.

[0426] 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.

[0427] In this invention, the server includes means for recording user activity information and visualizing progress, means for providing group functions for users to exchange information with other participants and encourage each other, and means for analyzing users' emotional information and notifying users of events and activities related to urban life. As a result, residents can receive personalized support based on their emotions, improving their quality of life and enabling them to actively participate in urban activities.

[0428] A "signaling function that provides a task and does not stop until that task is completed" is a function in which a device prompts the user to perform a specific activity and does not dismiss notifications such as alarms until that activity is completed.

[0429] "Means for recording activity information and visualizing progress" refers to technologies that collect data on users' daily activities and display it visually, allowing users to easily check their own progress.

[0430] "Group functions for exchanging information with other participants and encouraging each other" refers to functions that provide communication tools that allow users to interact with and encourage other users who have similar goals.

[0431] "A means of analyzing emotional information and notifying users of events and activities related to urban life" refers to a system that analyzes the user's emotional state and provides recommendations for urban events and activities based on that information.

[0432] "Means of providing opinions for improving lifestyle habits" refers to methods of presenting specific advice to users based on collected data to help them achieve a healthy lifestyle.

[0433] This invention provides a system that recognizes the user's emotions and supports the improvement of their lifestyle based on those emotions. For implementation, the system is composed of various hardware and software combinations.

[0434] The server receives facial images and audio data sent from the user's device and performs sentiment analysis. Sentiment analysis uses facial recognition and audio analysis libraries to extract data about the user's emotional state. For example, the open-source `face_recognition` library is used for facial recognition, and the `sound_analysis` library is used for audio analysis.

[0435] The analyzed emotional data is integrated on the server to generate appropriate feedback and advice for improving lifestyle habits for the user. This allows users to receive personalized suggestions based on their individual emotional state.

[0436] The device uses data received from the server to notify users of relevant events and activities in urban life. For example, when a user is feeling stressed, it provides information about relaxing music events. This notification function allows users to receive timely information to improve their quality of life.

[0437] For example, users who want to enjoy outdoor activities on the weekend can be notified of nearby hiking events or activities in nature parks. The system also includes a group function for sharing information and mutual encouragement, allowing users to support each other in improving their lifestyles.

[0438] Examples of prompts include, "Please suggest events in a smart city that are tailored to the user's emotions," and "Please generate suggestions for urban services to alleviate the stress the user is currently experiencing." By inputting these prompts into the AI ​​model, it becomes possible to provide more effective suggestions for improving daily life.

[0439] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0440] Step 1:

[0441] The user activates the device, and facial images and audio data are collected.

[0442] In this step, the user uses the device's camera and microphone to input their facial image and voice. The input data is sent to a server for sentiment analysis. This data collection provides fundamental information for accurately understanding the user's emotional state.

[0443] Step 2:

[0444] The server analyzes the facial image and audio data it receives to identify the emotional state.

[0445] The server analyzes the received facial image using a facial recognition library (e.g., face_recognition). Simultaneously, it analyzes the audio data using a sound analysis library (e.g., sound_analysis). This identifies the user's emotional state from their facial expressions and tone of voice. As output, it generates data on the analyzed emotional state, which serves as the basis for decisions in the next step.

[0446] Step 3:

[0447] Based on the emotional state analyzed by the server, it generates suggestions for appropriate lifestyle improvements.

[0448] The server uses a generative AI model to analyze emotional state data and generate lifestyle improvement suggestions tailored to the user. For example, if the user is feeling stressed, it will generate a prompt recommending urban events that could help them relax. An example of a prompt might be, "Please suggest some events in a smart city that are appropriate for the user's emotional state." The output will be data containing specific suggestions, which will be sent to the terminal.

[0449] Step 4:

[0450] The terminal notifies the user of the suggestions it has received from the server.

[0451] The device receives suggestions sent from the server and presents them to the user using its notification function. Specific actions include displaying them in the notification bar and generating pop-up windows. This allows users to receive timely lifestyle improvement information tailored to their needs.

[0452] 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.

[0453] 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.

[0454] 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.

[0455] [Third Embodiment]

[0456] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0457] 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.

[0458] 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).

[0459] 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.

[0460] 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.

[0461] 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).

[0462] 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.

[0463] 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.

[0464] 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.

[0465] 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.

[0466] 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.

[0467] 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".

[0468] This invention is a system that helps users wake up effectively and build healthy lifestyle habits. The system integrates alarm functions, habit tracking, community features, and feedback functions.

[0469] First, the user sets an alarm through an application on their device. By selecting a mission alarm, they can utilize a system where the alarm will not stop until a specific task is completed. The server prepares data related to this task and sends it to the device at the specified time. The device sounds the alarm and displays the task on the screen. This encourages the user to wake up naturally.

[0470] Next, the user's daily activities are recorded and tracked. This information is sent from the device to the server, and the user's progress is visualized in real time. The device displays the user's achievements in graphs and progress bars to help maintain motivation.

[0471] Furthermore, users can utilize community features to interact with other participants. The server manages user profiles and progress, making them shareable on the online platform. The device provides an interface that facilitates user communication, creating an environment where users can encourage each other and work towards their goals.

[0472] Finally, this system provides feedback to the user. The server analyzes the user's data and generates specific advice on improving sleep and diet. Based on this, the device provides appropriate feedback to the user and helps them improve their lifestyle.

[0473] For example, if a user sets a habit of "waking up at 7 AM every morning and doing 20 minutes of stretching," the mission alarm will sound at 7 AM as a task displaying a stretching pose. When the user performs the stretches, the device records the activity and sends it to the server. The server updates the progress based on this data and displays the visualized results on the device. The server also suggests recipes for a proper breakfast, which the device then displays to the user. Users can also utilize the community feature to receive feedback from other users with similar goals.

[0474] As described above, this system provides comprehensive support for users' daily lives and helps them establish healthy lifestyle habits.

[0475] The following describes the processing flow.

[0476] Step 1:

[0477] The user launches the application and selects a specific time and mission type on the alarm settings screen.

[0478] Step 2:

[0479] The device sends the alarm settings selected by the user to the server and requests the data necessary for the mission.

[0480] Step 3:

[0481] The server searches for appropriate mission data (e.g., puzzles or tasks) based on the user's selection and prepares to send it to the terminal.

[0482] Step 4:

[0483] The device sounds an alarm at the specified time and simultaneously displays mission data on the screen. The user reviews this data and attempts to complete the task.

[0484] Step 5:

[0485] When the user completes a task, the device sends the completion data to the server and stops the alarm.

[0486] Step 6:

[0487] The server records the task completion data it receives and updates the user's activity database.

[0488] Step 7:

[0489] When a user enters their daily activities on the habit tracking screen, the device sends that information to the server.

[0490] Step 8:

[0491] The server receives activity information, updates progress, and generates new graphs and statistical data.

[0492] Step 9:

[0493] The device provides the user with visual feedback and displays progress based on update data from the server.

[0494] Step 10:

[0495] When a user utilizes community features, their device sends their progress and messages to the server for sharing with other users.

[0496] Step 11:

[0497] The server updates the community database, records user interaction information, and sends necessary notifications.

[0498] Step 12:

[0499] The server analyzes the user's behavioral data, generates feedback and advice for improving lifestyle habits, and sends it to the device.

[0500] Step 13:

[0501] The device displays feedback information to the user and suggests specific steps for improvement.

[0502] Step 14:

[0503] Based on user feedback, the system adjusts daily activities and habits and sets new goals.

[0504] (Example 1)

[0505] 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."

[0506] In modern society, it is difficult for individuals to maintain healthy lifestyle habits and sustain motivation. In particular, daily life often lacks regular waking times, proper activity records, and social interaction, which negatively impacts quality of life. To address this challenge, a system that comprehensively supports these elements is necessary.

[0507] 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.

[0508] In this invention, the server includes notification means that provides tasks and does not stop until those tasks are completed, means that records individual behavioral data and visualizes progress, and means that provides a community function for individuals to interact with a group and motivate each other. This enables individuals to establish a regular daily rhythm, maintain healthy habits, and improve their motivation through interaction with the group.

[0509] A "task" refers to an action or activity that an individual must perform in order to achieve a specific objective.

[0510] A "notification means" is a device or method for notifying an individual of information, which operates until specified conditions are met.

[0511] An "information processing device" refers to an electronic system for receiving, processing, and manipulating data, enabling the provision of services to users.

[0512] "Personal behavioral data" refers to information about an individual's activities and behaviors in their daily life, which allows for the understanding of individual habits and progress.

[0513] "Means of visualizing progress" refers to methods or devices for visually displaying an individual's activity status, such as graphs or progress bars.

[0514] The "community function" refers to the function of providing a social work environment in which participants can interact with each other and encourage and support one another.

[0515] A "circulation for improving lifestyle" refers to a means of providing information that offers specific advice and recommendations with the aim of improving individuals' health and habits.

[0516] "Sound output" refers to audio signals emitted from electronic devices and is used as a means of notification to the user.

[0517] "Rest information" refers to data on an individual's sleep patterns and quality, and is used to improve their health.

[0518] "Nutritional intake information" refers to data about an individual's diet and the nutrients they consume, and is used to support improvements in lifestyle habits.

[0519] "Means of making recommendations" refers to methods or devices that provide specific instructions or recommendations for living a better life, based on individual data.

[0520] This invention is a system that supports healthy lifestyle habits through the interaction of a server, a terminal, and a user.

[0521] Alarm function

[0522] Users set alarms using applications installed on their devices. These alarms include a feature that prevents them from stopping until the user completes specific tasks. The server prepares data related to these tasks in advance and sends it to the device at the specified time to encourage a natural awakening of the user.

[0523] Data processing and visualization

[0524] The device records user behavior data and sends it to the server. This data includes information about the user's daily activities and progress. The server analyzes this data in real time and sends the results back to the device in a visualized format. This allows the user to check the progress of individual activities using graphs and progress bars.

[0525] Community features and feedback

[0526] Users can interact with other users by utilizing the community features provided on their devices. The server manages user profiles and progress, and provides an environment where users can easily give each other feedback and motivate one another. Furthermore, the server generates advice for improving lifestyle habits based on user activity data and notifies users via their devices.

[0527] The technologies used

[0528] The hardware used in this system consists of standard smartphones and tablets, while cloud computing technology is employed on the server side. The software includes data analysis and visualization tools. Furthermore, a generative AI model is used to automatically generate recommendations based on user activity data.

[0529] Specific example

[0530] As a concrete example, a user sets an alarm for the task "Wake up at 7 AM every morning and do 20 minutes of stretching." In this case, the server sends an alarm at 7 AM along with a task showing the stretching poses to the device. Once the user finishes stretching, the device records this information and sends it to the server to update the progress. Based on this data, the server also suggests breakfast recipes that are appropriate for the current situation.

[0531] Example of a prompt:

[0532] "I want to develop a system that supports healthy lifestyle habits. I want to include a feature that stops the alarm after a specific task is completed each morning."

[0533] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0534] Step 1:

[0535] The user opens an application on their device and sets an alarm. As input, the user enters the alarm time and details of the mission task (e.g., stretching, puzzle). Based on this information, the device creates and saves the settings data. At this stage, no data processing is performed; the specified settings are maintained as the information needed for the next process.

[0536] Step 2:

[0537] The server sends detailed information about the user's selected mission to the terminal based on the set time. The server receives alarm setting data as input and sends mission-related data (e.g., stretching pose images, puzzle problems) to the terminal as output. The server performs necessary database queries, reformats the information, and then sends it.

[0538] Step 3:

[0539] The terminal sounds an alarm at a specified time and displays the mission task on the screen. It uses mission data received from the server as input. The output includes an alarm sound and an interface for the user to visually confirm the task details. The terminal visualizes the task in a specified format and prompts the user to take action.

[0540] Step 4:

[0541] The user follows the instructions on the terminal and performs the mission task. Input involves visually confirming the mission instructions (e.g., stretching pose) and acting accordingly. Output is a task completion report recorded on the terminal. When the user meets the specified conditions, the alarm stops and a task completion message is sent to the server.

[0542] Step 5:

[0543] The server receives and analyzes user activity data. User activity log data is sent as input, and progress is evaluated based on this data. Output includes progress reports based on the analysis results and lifestyle improvement advice. The server uses a generative AI model to perform advanced data analysis and create personalized feedback for the user.

[0544] Step 6:

[0545] The device receives feedback from the server and notifies the user. It receives analytical data from the server as input and visualizes the information as output in a way that is easy for the user to understand. This includes advice and progress graphs to help improve lifestyle habits, which are provided to the user through the notification function.

[0546] (Application Example 1)

[0547] 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."

[0548] In modern society, establishing healthy lifestyle habits is crucial, but many people find it difficult to consistently achieve this. Furthermore, a lack of effective support systems that encourage self-improvement through maintaining regular daily routines and providing appropriate feedback and communication is a significant problem. In particular, there is a need to utilize technologically advanced automated devices to support users' daily lives and promote actual behavioral change.

[0549] 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.

[0550] In this invention, the server includes means for promoting the user's natural awakening through an information processing device equipped with a notification function that presents specific tasks and does not stop until they are completed; means for recording user behavior information and visualizing progress; and means for facilitating tasks through an automated device that detects and demonstrates user actions. This makes it possible to effectively support the establishment of healthy lifestyle habits and the maintenance of motivation for the user.

[0551] A "specific task" is a concrete task that the user must complete in order to wake up.

[0552] An "information processing device equipped with a notification function" is a device that presents a specific task at a set time and operates to encourage its completion.

[0553] "Behavioral information" refers to information related to a user's daily life activities that the system records and analyzes.

[0554] "Methods for visualizing progress" refer to techniques for visually displaying a user's level of achievement and progress based on recorded behavioral information.

[0555] The "communication function" is a feature that allows users to interact with and encourage other participants.

[0556] "Responses for improving lifestyle habits" refers to the output of a system that provides advice and guidance for improvement based on the user's behavioral data.

[0557] "Means of facilitating tasks through automated equipment" refers to methods that use robots or other automated devices to advise and guide users on actual actions.

[0558] To realize this invention, an information processing device used by the user, a server that processes data, and automated equipment that assists the user's actions are required.

[0559] First, the terminal, acting as an information processing device, monitors and records the user's actions. This device has a notification function that sends task notifications at set times, waking the user up by presenting specific tasks. The user's awakening is facilitated by completing the presented tasks.

[0560] Next, the server receives user behavior information and analyzes and visualizes the progress in real time. This allows for an intuitive understanding of changes in the user's lifestyle. Furthermore, the server uses a generative AI model to generate appropriate lifestyle improvement feedback for the user and transmits it to the terminal. An example of a prompt sent to the generative AI model is, "Please create specific advice based on past activity data to generate user feedback."

[0561] Furthermore, automated devices recognize user actions and facilitate the correct execution of tasks. For example, a robot can demonstrate the correct stretching technique, allowing users to visually learn and then act upon it. This enables users to improve their lifestyle habits more smoothly. Overall, this system provides comprehensive support for users to establish and maintain a healthy daily life.

[0562] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0563] Step 1:

[0564] The user sets an alarm on the device. The input is the user's wake-up time and task type, and the output is the saving of this setting information. The device prepares to present tasks based on the alarm time.

[0565] Step 2:

[0566] When the device reaches a set time, it sounds an alarm and displays a specific task on the screen. The input is the user's alarm setting, and the output is an audio alarm and a display of the task. At this stage, the device prompts the user to complete the task immediately.

[0567] Step 3:

[0568] The user performs a given task (e.g., stretching). During this process, the user's movements are recorded by sensors. The input is the user's physical movements, and the output is the motion data from the sensors. The user's movements are used to verify that the task is being performed correctly.

[0569] Step 4:

[0570] The server receives user activity data and analyzes the progress. The input is activity data, and the output is a visualization of the progress. The server analyzes the data to calculate the user's achievement level and visualizes it as charts and graphs.

[0571] Step 5:

[0572] The server uses a generated AI model to create feedback for the user and send it to the terminal. The input is past activity data and a prompt, and the output is specific advice. A prompt such as "Generate specific advice based on past activity data to generate user feedback" is used.

[0573] Step 6:

[0574] The device displays feedback to the user, encouraging further action. This feedback is expressed in audio or text, contributing to increased user motivation. The input is the feedback content, and the output is what is presented to the user. The device provides advice for the next task or for improving one's life.

[0575] 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.

[0576] This invention is a system that incorporates an emotion engine that recognizes the user's emotions and uses them to support improvements in lifestyle habits. This system features an alarm function, habit tracking, community function, and emotion feedback function, providing personalized support tailored to the individual needs of the user.

[0577] First, when a user sets an alarm through their device, the emotion engine is activated and detects the user's emotional state using facial recognition and voice analysis. Based on this data, the server adjusts the alarm volume and tone to help the user wake up more comfortably. The device then executes this adjusted alarm at the specified time.

[0578] The user's daily activities are continuously recorded on the device and sent to the server. The emotion engine comprehensively understands the user's state, including emotional data related to these activities. This information is used for habit tracking, and the device displays progress in real time.

[0579] The community feature takes user emotional data into consideration when facilitating interaction. The server suggests communication and content appropriate to the user's emotional state. As a result, users can more effectively encourage each other and maintain their motivation.

[0580] Furthermore, the system provides feedback based on the user's emotions. The server analyzes emotional data and generates the most effective lifestyle improvement advice for the user. This feedback is displayed through the device, allowing the user to receive it in an actionable form.

[0581] For example, if a user is feeling stressed, the emotion engine detects this, and the server suggests relaxing music as an alarm sound. The system identifies typical stress patterns from the user's activity data, and the community encourages connection with other users who have similar experiences. Furthermore, feedback includes suggestions for coping mechanisms and relaxation techniques, providing users with concrete means to improve their situation.

[0582] In this way, the present invention uses emotions as a key to support all aspects of the user's life and enables personalized health management that takes into account individual needs.

[0583] The following describes the processing flow.

[0584] Step 1:

[0585] When a user sets an alarm using the device, the device activates an emotion engine and collects emotion data through facial recognition and voice analysis of the user.

[0586] Step 2:

[0587] The device sends emotional data to the server, which then analyzes the user's current emotional state based on this data.

[0588] Step 3:

[0589] The server personalizes the alarm sound type and volume based on the analyzed emotions and sends the corresponding settings to the device. At this stage, music and tones that promote relaxation or vitality for the user are selected.

[0590] Step 4:

[0591] The device will activate a pre-set alarm at a specified time and use the most appropriate sound based on the user's emotional state to encourage waking. It will also display a message on the screen that matches the user's emotions.

[0592] Step 5:

[0593] When a user performs their daily activities and inputs that data into their device, the device sends the activity data, along with emotional data, to the server.

[0594] Step 6:

[0595] The server combines activity data and sentiment data to evaluate the overall user state and generates a report that visualizes the progress.

[0596] Step 7:

[0597] The terminal displays reports received from the server to the user, allowing them to check their progress and emotional state. This information makes it easier for users to manage themselves.

[0598] Step 8:

[0599] Users utilize community features to begin interacting with other users experiencing similar emotional states through their devices. The emotion engine adapts this communication to the user's current emotions.

[0600] Step 9:

[0601] The server monitors interactions within the community and provides relevant content and encouraging messages based on the users' emotional states.

[0602] Step 10:

[0603] The server continues to analyze emotional data, generates personalized feedback to improve lifestyle habits, and sends it to the device.

[0604] Step 11:

[0605] The device displays generated feedback to the user and encourages them to apply advice related to their emotional state to their daily life.

[0606] In this way, the entire system works in conjunction with the user's emotions, supporting their daily life and providing means to maintain an optimal state of mind.

[0607] (Example 2)

[0608] 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."

[0609] Conventional lifestyle improvement systems do not adequately provide personalized support that takes into account the user's emotional state. As a result, users are not given feedback or opportunities for interaction that are appropriate to their actual needs and circumstances, leading to a limited effectiveness in improving their lifestyles.

[0610] 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.

[0611] In this invention, the server includes means for detecting the user's emotional state using facial recognition and voice analysis, means for adjusting the volume and tone of alarms based on the detected emotional data, and means for recording the user's daily activities and analyzing their emotional state. This makes it possible to support personalized lifestyle improvements tailored to each user's individual emotional state.

[0612] "User emotional state" refers to the user's psychological and emotional state as detected through facial recognition and voice analysis.

[0613] "Facial recognition" refers to a technology that digitally analyzes the features of a user's face to identify their emotional state.

[0614] "Voice analysis" refers to the process of analyzing a user's speech content and tone of voice to evaluate their emotional state.

[0615] "Adjusting the alarm volume and tone" refers to changing the loudness and tone of the alarm sound based on the detected emotional state.

[0616] "Recording daily activities" refers to the process of accumulating data about a user's daily actions and activities.

[0617] "Analysis of emotional states" refers to analyzing users' emotional patterns using collected data.

[0618] "Personalized support for improving lifestyle habits" refers to providing specific and appropriate advice and suggestions tailored to each user's emotional state and activity patterns.

[0619] This invention is a system that recognizes the user's emotional state and supports the improvement of their lifestyle. The system is mainly composed of a server and terminals.

[0620] The device activates an emotion engine when the user sets an alarm. This emotion engine uses facial recognition and voice analysis technology to detect the user's emotional state. The device sends this emotion data to a server. Based on the received emotion data, the server uses a generative AI model to adjust the alarm volume and tone to ensure the user wakes up optimally. This adjusted alarm is then triggered at the time specified by the device.

[0621] Users' daily activities are continuously recorded using their devices and sent to a server along with emotional data. The server analyzes this data to understand the user's emotional state and activity patterns. This information is used for tracking lifestyle habits and for community interaction. The server provides users with optimal content and interaction opportunities tailored to their emotional state.

[0622] For example, if a user is feeling stressed, the system will detect this and the server will suggest relaxing music as an alarm sound. It will also use the user's past activity data to suggest ways to facilitate interaction with other users who have similar experiences within a community. Feedback will include specific suggestions for improvement, such as relaxation techniques.

[0623] The generative AI model uses emotional data to generate feedback tailored to each user's individual situation. For example, it can generate effective advice using a prompt such as, "Please suggest relaxation methods for a user who is feeling stressed."

[0624] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0625] Step 1:

[0626] The user sets an alarm on the device. As soon as the set alarm time is sent to the device as input, the device activates its emotion engine. This allows the device to detect and collect the user's emotion data using facial recognition and voice analysis. This data is then sent by the device to the server as the initial output.

[0627] Step 2:

[0628] The server receives emotional data from the device as input. The server then uses a generative AI model to begin analyzing this data. Through this analysis, the server determines the user's emotional state and passes the result as output to an alarm adjustment algorithm. This algorithm determines an appropriate alarm volume and tone based on the user's emotional state and notifies the device of these settings.

[0629] Step 3:

[0630] The terminal receives the pre-configured alarm settings from the server and prepares to execute them. The input here is the pre-configured alarm settings from the server, and the final output is the alarm sound that will actually be used to wake the user. At the specified time, the terminal plays this alarm via an external output device to help the user wake up comfortably.

[0631] Step 4:

[0632] As users engage in daily activities, the device continuously records activity data (e.g., steps taken, exercise level, etc.) on a 24-hour basis. Along with this activity data, emotional data is also collected over time. This data is periodically transmitted from the device to the server, which then functions as input to the server.

[0633] Step 5:

[0634] The server analyzes daily activity data and emotional data received periodically from the terminal. This analysis reveals patterns in the user's daily activities and fluctuations in their emotions. The server uses this data to generate output for community features and content suggestions.

[0635] Step 6:

[0636] Based on the analysis results, the server suggests the most suitable community content and interaction opportunities for the user. This suggestion is sent to the terminal as output and presented to the user. For example, interaction with users who share similar emotional tendencies is recommended, where they can share experiences and encourage each other.

[0637] Step 7:

[0638] The server generates lifestyle improvement advice tailored to the user based on analytical data obtained using a generative AI model. This feedback is provided to the user via the terminal. This feedback includes specific and actionable suggestions based on the user's emotional state and behavioral patterns. For example, based on a prompt such as "Please suggest relaxation methods for when the user is feeling stressed," the server will suggest relaxation techniques.

[0639] (Application Example 2)

[0640] 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."

[0641] In modern urban life, residents face challenges in managing their daily habits and emotional states. In particular, there is a need for effective methods to appropriately manage stress and discomfort caused by emotional states and improve their quality of life. Furthermore, there is a lack of means for residents to actively participate in urban events and activities to enrich their lives.

[0642] 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.

[0643] In this invention, the server includes means for recording user activity information and visualizing progress, means for providing group functions for users to exchange information with other participants and encourage each other, and means for analyzing users' emotional information and notifying users of events and activities related to urban life. As a result, residents can receive personalized support based on their emotions, improving their quality of life and enabling them to actively participate in urban activities.

[0644] A "signaling function that provides a task and does not stop until that task is completed" is a function in which a device prompts the user to perform a specific activity and does not dismiss notifications such as alarms until that activity is completed.

[0645] "Means for recording activity information and visualizing progress" refers to technologies that collect data on users' daily activities and display it visually, allowing users to easily check their own progress.

[0646] "Group functions for exchanging information with other participants and encouraging each other" refers to functions that provide communication tools that allow users to interact with and encourage other users who have similar goals.

[0647] "A means of analyzing emotional information and notifying users of events and activities related to urban life" refers to a system that analyzes the user's emotional state and provides recommendations for urban events and activities based on that information.

[0648] "Means of providing opinions for improving lifestyle habits" refers to methods of presenting specific advice to users based on collected data to help them achieve a healthy lifestyle.

[0649] This invention provides a system that recognizes the user's emotions and supports the improvement of their lifestyle based on those emotions. For implementation, the system is composed of various hardware and software combinations.

[0650] The server receives facial images and audio data sent from the user's device and performs sentiment analysis. Sentiment analysis uses facial recognition and audio analysis libraries to extract data about the user's emotional state. For example, the open-source `face_recognition` library is used for facial recognition, and the `sound_analysis` library is used for audio analysis.

[0651] The analyzed emotional data is integrated on the server to generate appropriate feedback and advice for improving lifestyle habits for the user. This allows users to receive personalized suggestions based on their individual emotional state.

[0652] The device uses data received from the server to notify users of relevant events and activities in urban life. For example, when a user is feeling stressed, it provides information about relaxing music events. This notification function allows users to receive timely information to improve their quality of life.

[0653] For example, users who want to enjoy outdoor activities on the weekend can be notified of nearby hiking events or activities in nature parks. The system also includes a group function for sharing information and mutual encouragement, allowing users to support each other in improving their lifestyles.

[0654] Examples of prompts include, "Please suggest events in a smart city that are tailored to the user's emotions," and "Please generate suggestions for urban services to alleviate the stress the user is currently experiencing." By inputting these prompts into the AI ​​model, it becomes possible to provide more effective suggestions for improving daily life.

[0655] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0656] Step 1:

[0657] The user activates the device, and facial images and audio data are collected.

[0658] In this step, the user uses the device's camera and microphone to input their facial image and voice. The input data is sent to a server for sentiment analysis. This data collection provides fundamental information for accurately understanding the user's emotional state.

[0659] Step 2:

[0660] The server analyzes the facial image and audio data it receives to identify the emotional state.

[0661] The server analyzes the received facial image using a facial recognition library (e.g., face_recognition). Simultaneously, it analyzes the audio data using a sound analysis library (e.g., sound_analysis). This identifies the user's emotional state from their facial expressions and tone of voice. As output, it generates data on the analyzed emotional state, which serves as the basis for decisions in the next step.

[0662] Step 3:

[0663] Based on the emotional state analyzed by the server, it generates suggestions for appropriate lifestyle improvements.

[0664] The server uses a generative AI model to analyze emotional state data and generate lifestyle improvement suggestions tailored to the user. For example, if the user is feeling stressed, it will generate a prompt recommending urban events that could help them relax. An example of a prompt might be, "Please suggest some events in a smart city that are appropriate for the user's emotional state." The output will be data containing specific suggestions, which will be sent to the terminal.

[0665] Step 4:

[0666] The terminal notifies the user of the suggestions it has received from the server.

[0667] The device receives suggestions sent from the server and presents them to the user using its notification function. Specific actions include displaying them in the notification bar and generating pop-up windows. This allows users to receive timely lifestyle improvement information tailored to their needs.

[0668] 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.

[0669] 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.

[0670] 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.

[0671] [Fourth Embodiment]

[0672] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0673] 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.

[0674] 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).

[0675] 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.

[0676] 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.

[0677] 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).

[0678] 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.

[0679] 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.

[0680] 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.

[0681] 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.

[0682] 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.

[0683] 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.

[0684] 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".

[0685] This invention is a system that helps users wake up effectively and build healthy lifestyle habits. The system integrates alarm functions, habit tracking, community features, and feedback functions.

[0686] First, the user sets an alarm through an application on their device. By selecting a mission alarm, they can utilize a system where the alarm will not stop until a specific task is completed. The server prepares data related to this task and sends it to the device at the specified time. The device sounds the alarm and displays the task on the screen. This encourages the user to wake up naturally.

[0687] Next, the user's daily activities are recorded and tracked. This information is sent from the device to the server, and the user's progress is visualized in real time. The device displays the user's achievements in graphs and progress bars to help maintain motivation.

[0688] Furthermore, users can utilize community features to interact with other participants. The server manages user profiles and progress, making them shareable on the online platform. The device provides an interface that facilitates user communication, creating an environment where users can encourage each other and work towards their goals.

[0689] Finally, this system provides feedback to the user. The server analyzes the user's data and generates specific advice on improving sleep and diet. Based on this, the device provides appropriate feedback to the user and helps them improve their lifestyle.

[0690] For example, if a user sets a habit of "waking up at 7 AM every morning and doing 20 minutes of stretching," the mission alarm will sound at 7 AM as a task displaying a stretching pose. When the user performs the stretches, the device records the activity and sends it to the server. The server updates the progress based on this data and displays the visualized results on the device. The server also suggests recipes for a proper breakfast, which the device then displays to the user. Users can also utilize the community feature to receive feedback from other users with similar goals.

[0691] As described above, this system provides comprehensive support for users' daily lives and helps them establish healthy lifestyle habits.

[0692] The following describes the processing flow.

[0693] Step 1:

[0694] The user launches the application and selects a specific time and mission type on the alarm settings screen.

[0695] Step 2:

[0696] The device sends the alarm settings selected by the user to the server and requests the data necessary for the mission.

[0697] Step 3:

[0698] The server searches for appropriate mission data (e.g., puzzles or tasks) based on the user's selection and prepares to send it to the terminal.

[0699] Step 4:

[0700] The device sounds an alarm at the specified time and simultaneously displays mission data on the screen. The user reviews this data and attempts to complete the task.

[0701] Step 5:

[0702] When the user completes a task, the device sends the completion data to the server and stops the alarm.

[0703] Step 6:

[0704] The server records the task completion data it receives and updates the user's activity database.

[0705] Step 7:

[0706] When a user enters their daily activities on the habit tracking screen, the device sends that information to the server.

[0707] Step 8:

[0708] The server receives activity information, updates progress, and generates new graphs and statistical data.

[0709] Step 9:

[0710] The device provides the user with visual feedback and displays progress based on update data from the server.

[0711] Step 10:

[0712] When a user utilizes community features, their device sends their progress and messages to the server for sharing with other users.

[0713] Step 11:

[0714] The server updates the community database, records user interaction information, and sends necessary notifications.

[0715] Step 12:

[0716] The server analyzes the user's behavioral data, generates feedback and advice for improving lifestyle habits, and sends it to the device.

[0717] Step 13:

[0718] The device displays feedback information to the user and suggests specific steps for improvement.

[0719] Step 14:

[0720] Based on user feedback, the system adjusts daily activities and habits and sets new goals.

[0721] (Example 1)

[0722] 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".

[0723] In modern society, it is difficult for individuals to maintain healthy lifestyle habits and sustain motivation. In particular, daily life often lacks regular waking times, proper activity records, and social interaction, which negatively impacts quality of life. To address this challenge, a system that comprehensively supports these elements is necessary.

[0724] 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.

[0725] In this invention, the server includes notification means that provides tasks and does not stop until those tasks are completed, means that records individual behavioral data and visualizes progress, and means that provides a community function for individuals to interact with a group and motivate each other. This enables individuals to establish a regular daily rhythm, maintain healthy habits, and improve their motivation through interaction with the group.

[0726] A "task" refers to an action or activity that an individual must perform in order to achieve a specific objective.

[0727] A "notification means" is a device or method for notifying an individual of information, which operates until specified conditions are met.

[0728] An "information processing device" refers to an electronic system for receiving, processing, and manipulating data, enabling the provision of services to users.

[0729] "Personal behavioral data" refers to information about an individual's activities and behaviors in their daily life, which allows for the understanding of individual habits and progress.

[0730] "Means of visualizing progress" refers to methods or devices for visually displaying an individual's activity status, such as graphs or progress bars.

[0731] The "community function" refers to the function of providing a social work environment in which participants can interact with each other and encourage and support one another.

[0732] A "circulation for improving lifestyle" refers to a means of providing information that offers specific advice and recommendations with the aim of improving individuals' health and habits.

[0733] "Sound output" refers to audio signals emitted from electronic devices and is used as a means of notification to the user.

[0734] "Rest information" refers to data on an individual's sleep patterns and quality, and is used to improve their health.

[0735] "Nutritional intake information" refers to data about an individual's diet and the nutrients they consume, and is used to support improvements in lifestyle habits.

[0736] "Means of making recommendations" refers to methods or devices that provide specific instructions or recommendations for living a better life, based on individual data.

[0737] This invention is a system that supports healthy lifestyle habits through the interaction of a server, a terminal, and a user.

[0738] Alarm function

[0739] Users set alarms using applications installed on their devices. These alarms include a feature that prevents them from stopping until the user completes specific tasks. The server prepares data related to these tasks in advance and sends it to the device at the specified time to encourage a natural awakening of the user.

[0740] Data processing and visualization

[0741] The device records user behavior data and sends it to the server. This data includes information about the user's daily activities and progress. The server analyzes this data in real time and sends the results back to the device in a visualized format. This allows the user to check the progress of individual activities using graphs and progress bars.

[0742] Community features and feedback

[0743] Users can interact with other users by utilizing the community features provided on their devices. The server manages user profiles and progress, and provides an environment where users can easily give each other feedback and motivate one another. Furthermore, the server generates advice for improving lifestyle habits based on user activity data and notifies users via their devices.

[0744] The technologies used

[0745] The hardware used in this system consists of standard smartphones and tablets, while cloud computing technology is employed on the server side. The software includes data analysis and visualization tools. Furthermore, a generative AI model is used to automatically generate recommendations based on user activity data.

[0746] Specific example

[0747] As a concrete example, a user sets an alarm for the task "Wake up at 7 AM every morning and do 20 minutes of stretching." In this case, the server sends an alarm at 7 AM along with a task showing the stretching poses to the device. Once the user finishes stretching, the device records this information and sends it to the server to update the progress. Based on this data, the server also suggests breakfast recipes that are appropriate for the current situation.

[0748] Example of a prompt:

[0749] "I want to develop a system that supports healthy lifestyle habits. I want to include a feature that stops the alarm after a specific task is completed each morning."

[0750] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0751] Step 1:

[0752] The user opens an application on their device and sets an alarm. As input, the user enters the alarm time and details of the mission task (e.g., stretching, puzzle). Based on this information, the device creates and saves the settings data. At this stage, no data processing is performed; the specified settings are maintained as the information needed for the next process.

[0753] Step 2:

[0754] The server sends detailed information about the user's selected mission to the terminal based on the set time. The server receives alarm setting data as input and sends mission-related data (e.g., stretching pose images, puzzle problems) to the terminal as output. The server performs necessary database queries, reformats the information, and then sends it.

[0755] Step 3:

[0756] The terminal sounds an alarm at a specified time and displays the mission task on the screen. It uses mission data received from the server as input. The output includes an alarm sound and an interface for the user to visually confirm the task details. The terminal visualizes the task in a specified format and prompts the user to take action.

[0757] Step 4:

[0758] The user follows the instructions on the terminal and performs the mission task. Input involves visually confirming the mission instructions (e.g., stretching pose) and acting accordingly. Output is a task completion report recorded on the terminal. When the user meets the specified conditions, the alarm stops and a task completion message is sent to the server.

[0759] Step 5:

[0760] The server receives and analyzes user activity data. User activity log data is sent as input, and progress is evaluated based on this data. Output includes progress reports based on the analysis results and lifestyle improvement advice. The server uses a generative AI model to perform advanced data analysis and create personalized feedback for the user.

[0761] Step 6:

[0762] The device receives feedback from the server and notifies the user. It receives analytical data from the server as input and visualizes the information as output in a way that is easy for the user to understand. This includes advice and progress graphs to help improve lifestyle habits, which are provided to the user through the notification function.

[0763] (Application Example 1)

[0764] 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".

[0765] In modern society, establishing healthy lifestyle habits is crucial, but many people find it difficult to consistently achieve this. Furthermore, a lack of effective support systems that encourage self-improvement through maintaining regular daily routines and providing appropriate feedback and communication is a significant problem. In particular, there is a need to utilize technologically advanced automated devices to support users' daily lives and promote actual behavioral change.

[0766] 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.

[0767] In this invention, the server includes means for promoting the user's natural awakening through an information processing device equipped with a notification function that presents specific tasks and does not stop until they are completed; means for recording user behavior information and visualizing progress; and means for facilitating tasks through an automated device that detects and demonstrates user actions. This makes it possible to effectively support the establishment of healthy lifestyle habits and the maintenance of motivation for the user.

[0768] A "specific task" is a concrete task that the user must complete in order to wake up.

[0769] An "information processing device equipped with a notification function" is a device that presents a specific task at a set time and operates to encourage its completion.

[0770] "Behavioral information" refers to information related to a user's daily life activities that the system records and analyzes.

[0771] "Methods for visualizing progress" refer to techniques for visually displaying a user's level of achievement and progress based on recorded behavioral information.

[0772] The "communication function" is a feature that allows users to interact with and encourage other participants.

[0773] "Responses for improving lifestyle habits" refers to the output of a system that provides advice and guidance for improvement based on the user's behavioral data.

[0774] "Means of facilitating tasks through automated equipment" refers to methods that use robots or other automated devices to advise and guide users on actual actions.

[0775] To realize this invention, an information processing device used by the user, a server that processes data, and automated equipment that assists the user's actions are required.

[0776] First, the terminal, acting as an information processing device, monitors and records the user's actions. This device has a notification function that sends task notifications at set times, waking the user up by presenting specific tasks. The user's awakening is facilitated by completing the presented tasks.

[0777] Next, the server receives user behavior information and analyzes and visualizes the progress in real time. This allows for an intuitive understanding of changes in the user's lifestyle. Furthermore, the server uses a generative AI model to generate appropriate lifestyle improvement feedback for the user and transmits it to the terminal. An example of a prompt sent to the generative AI model is, "Please create specific advice based on past activity data to generate user feedback."

[0778] Furthermore, automated devices recognize user actions and facilitate the correct execution of tasks. For example, a robot can demonstrate the correct stretching technique, allowing users to visually learn and then act upon it. This enables users to improve their lifestyle habits more smoothly. Overall, this system provides comprehensive support for users to establish and maintain a healthy daily life.

[0779] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0780] Step 1:

[0781] The user sets an alarm on the device. The input is the user's wake-up time and task type, and the output is the saving of this setting information. The device prepares to present tasks based on the alarm time.

[0782] Step 2:

[0783] When the device reaches a set time, it sounds an alarm and displays a specific task on the screen. The input is the user's alarm setting, and the output is an audio alarm and a display of the task. At this stage, the device prompts the user to complete the task immediately.

[0784] Step 3:

[0785] The user performs a given task (e.g., stretching). During this process, the user's movements are recorded by sensors. The input is the user's physical movements, and the output is the motion data from the sensors. The user's movements are used to verify that the task is being performed correctly.

[0786] Step 4:

[0787] The server receives user activity data and analyzes the progress. The input is activity data, and the output is a visualization of the progress. The server analyzes the data to calculate the user's achievement level and visualizes it as charts and graphs.

[0788] Step 5:

[0789] The server uses a generated AI model to create feedback for the user and send it to the terminal. The input is past activity data and a prompt, and the output is specific advice. A prompt such as "Generate specific advice based on past activity data to generate user feedback" is used.

[0790] Step 6:

[0791] The device displays feedback to the user, encouraging further action. This feedback is expressed in audio or text, contributing to increased user motivation. The input is the feedback content, and the output is what is presented to the user. The device provides advice for the next task or for improving one's life.

[0792] 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.

[0793] This invention is a system that incorporates an emotion engine that recognizes the user's emotions and uses them to support improvements in lifestyle habits. This system features an alarm function, habit tracking, community function, and emotion feedback function, providing personalized support tailored to the individual needs of the user.

[0794] First, when a user sets an alarm through their device, the emotion engine is activated and detects the user's emotional state using facial recognition and voice analysis. Based on this data, the server adjusts the alarm volume and tone to help the user wake up more comfortably. The device then executes this adjusted alarm at the specified time.

[0795] The user's daily activities are continuously recorded on the device and sent to the server. The emotion engine comprehensively understands the user's state, including emotional data related to these activities. This information is used for habit tracking, and the device displays progress in real time.

[0796] The community feature takes user emotional data into consideration when facilitating interaction. The server suggests communication and content appropriate to the user's emotional state. As a result, users can more effectively encourage each other and maintain their motivation.

[0797] Furthermore, the system provides feedback based on the user's emotions. The server analyzes emotional data and generates the most effective lifestyle improvement advice for the user. This feedback is displayed through the device, allowing the user to receive it in an actionable form.

[0798] For example, if a user is feeling stressed, the emotion engine detects this, and the server suggests relaxing music as an alarm sound. The system identifies typical stress patterns from the user's activity data, and the community encourages connection with other users who have similar experiences. Furthermore, feedback includes suggestions for coping mechanisms and relaxation techniques, providing users with concrete means to improve their situation.

[0799] In this way, the present invention uses emotions as a key to support all aspects of the user's life and enables personalized health management that takes into account individual needs.

[0800] The following describes the processing flow.

[0801] Step 1:

[0802] When a user sets an alarm using the device, the device activates an emotion engine and collects emotion data through facial recognition and voice analysis of the user.

[0803] Step 2:

[0804] The device sends emotional data to the server, which then analyzes the user's current emotional state based on this data.

[0805] Step 3:

[0806] The server personalizes the alarm sound type and volume based on the analyzed emotions and sends the corresponding settings to the device. At this stage, music and tones that promote relaxation or vitality for the user are selected.

[0807] Step 4:

[0808] The device will activate a pre-set alarm at a specified time and use the most appropriate sound based on the user's emotional state to encourage waking. It will also display a message on the screen that matches the user's emotions.

[0809] Step 5:

[0810] When a user performs their daily activities and inputs that data into their device, the device sends the activity data, along with emotional data, to the server.

[0811] Step 6:

[0812] The server combines activity data and sentiment data to evaluate the overall user state and generates a report that visualizes the progress.

[0813] Step 7:

[0814] The terminal displays reports received from the server to the user, allowing them to check their progress and emotional state. This information makes it easier for users to manage themselves.

[0815] Step 8:

[0816] Users utilize community features to begin interacting with other users experiencing similar emotional states through their devices. The emotion engine adapts this communication to the user's current emotions.

[0817] Step 9:

[0818] The server monitors interactions within the community and provides relevant content and encouraging messages based on the users' emotional states.

[0819] Step 10:

[0820] The server continues to analyze emotional data, generates personalized feedback to improve lifestyle habits, and sends it to the device.

[0821] Step 11:

[0822] The device displays generated feedback to the user and encourages them to apply advice related to their emotional state to their daily life.

[0823] In this way, the entire system works in conjunction with the user's emotions, supporting their daily life and providing means to maintain an optimal state of mind.

[0824] (Example 2)

[0825] 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".

[0826] Conventional lifestyle improvement systems do not adequately provide personalized support that takes into account the user's emotional state. As a result, users are not given feedback or opportunities for interaction that are appropriate to their actual needs and circumstances, leading to a limited effectiveness in improving their lifestyles.

[0827] 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.

[0828] In this invention, the server includes means for detecting the user's emotional state using facial recognition and voice analysis, means for adjusting the volume and tone of alarms based on the detected emotional data, and means for recording the user's daily activities and analyzing their emotional state. This makes it possible to support personalized lifestyle improvements tailored to each user's individual emotional state.

[0829] "User emotional state" refers to the user's psychological and emotional state as detected through facial recognition and voice analysis.

[0830] "Facial recognition" refers to a technology that digitally analyzes the features of a user's face to identify their emotional state.

[0831] "Voice analysis" refers to the process of analyzing a user's speech content and tone of voice to evaluate their emotional state.

[0832] "Adjusting the alarm volume and tone" refers to changing the loudness and tone of the alarm sound based on the detected emotional state.

[0833] "Recording daily activities" refers to the process of accumulating data about a user's daily actions and activities.

[0834] "Analysis of emotional states" refers to analyzing users' emotional patterns using collected data.

[0835] "Personalized support for improving lifestyle habits" refers to providing specific and appropriate advice and suggestions tailored to each user's emotional state and activity patterns.

[0836] This invention is a system that recognizes the user's emotional state and supports the improvement of their lifestyle. The system is mainly composed of a server and terminals.

[0837] The device activates an emotion engine when the user sets an alarm. This emotion engine uses facial recognition and voice analysis technology to detect the user's emotional state. The device sends this emotion data to a server. Based on the received emotion data, the server uses a generative AI model to adjust the alarm volume and tone to ensure the user wakes up optimally. This adjusted alarm is then triggered at the time specified by the device.

[0838] Users' daily activities are continuously recorded using their devices and sent to a server along with emotional data. The server analyzes this data to understand the user's emotional state and activity patterns. This information is used for tracking lifestyle habits and for community interaction. The server provides users with optimal content and interaction opportunities tailored to their emotional state.

[0839] For example, if a user is feeling stressed, the system will detect this and the server will suggest relaxing music as an alarm sound. It will also use the user's past activity data to suggest ways to facilitate interaction with other users who have similar experiences within a community. Feedback will include specific suggestions for improvement, such as relaxation techniques.

[0840] The generative AI model uses emotional data to generate feedback tailored to each user's individual situation. For example, it can generate effective advice using a prompt such as, "Please suggest relaxation methods for a user who is feeling stressed."

[0841] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0842] Step 1:

[0843] The user sets an alarm on the device. As soon as the set alarm time is sent to the device as input, the device activates its emotion engine. This allows the device to detect and collect the user's emotion data using facial recognition and voice analysis. This data is then sent by the device to the server as the initial output.

[0844] Step 2:

[0845] The server receives emotional data from the device as input. The server then uses a generative AI model to begin analyzing this data. Through this analysis, the server determines the user's emotional state and passes the result as output to an alarm adjustment algorithm. This algorithm determines an appropriate alarm volume and tone based on the user's emotional state and notifies the device of these settings.

[0846] Step 3:

[0847] The terminal receives the pre-configured alarm settings from the server and prepares to execute them. The input here is the pre-configured alarm settings from the server, and the final output is the alarm sound that will actually be used to wake the user. At the specified time, the terminal plays this alarm via an external output device to help the user wake up comfortably.

[0848] Step 4:

[0849] As users engage in daily activities, the device continuously records activity data (e.g., steps taken, exercise level, etc.) on a 24-hour basis. Along with this activity data, emotional data is also collected over time. This data is periodically transmitted from the device to the server, which then functions as input to the server.

[0850] Step 5:

[0851] The server analyzes daily activity data and emotional data received periodically from the terminal. This analysis reveals patterns in the user's daily activities and fluctuations in their emotions. The server uses this data to generate output for community features and content suggestions.

[0852] Step 6:

[0853] Based on the analysis results, the server suggests the most suitable community content and interaction opportunities for the user. This suggestion is sent to the terminal as output and presented to the user. For example, interaction with users who share similar emotional tendencies is recommended, where they can share experiences and encourage each other.

[0854] Step 7:

[0855] The server generates lifestyle improvement advice tailored to the user based on analytical data obtained using a generative AI model. This feedback is provided to the user via the terminal. This feedback includes specific and actionable suggestions based on the user's emotional state and behavioral patterns. For example, based on a prompt such as "Please suggest relaxation methods for when the user is feeling stressed," the server will suggest relaxation techniques.

[0856] (Application Example 2)

[0857] 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".

[0858] In modern urban life, residents face challenges in managing their daily habits and emotional states. In particular, there is a need for effective methods to appropriately manage stress and discomfort caused by emotional states and improve their quality of life. Furthermore, there is a lack of means for residents to actively participate in urban events and activities to enrich their lives.

[0859] 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.

[0860] In this invention, the server includes means for recording user activity information and visualizing progress, means for providing group functions for users to exchange information with other participants and encourage each other, and means for analyzing users' emotional information and notifying users of events and activities related to urban life. As a result, residents can receive personalized support based on their emotions, improving their quality of life and enabling them to actively participate in urban activities.

[0861] A "signaling function that provides a task and does not stop until that task is completed" is a function in which a device prompts the user to perform a specific activity and does not dismiss notifications such as alarms until that activity is completed.

[0862] "Means for recording activity information and visualizing progress" refers to technologies that collect data on users' daily activities and display it visually, allowing users to easily check their own progress.

[0863] "Group functions for exchanging information with other participants and encouraging each other" refers to functions that provide communication tools that allow users to interact with and encourage other users who have similar goals.

[0864] "A means of analyzing emotional information and notifying users of events and activities related to urban life" refers to a system that analyzes the user's emotional state and provides recommendations for urban events and activities based on that information.

[0865] "Means of providing opinions for improving lifestyle habits" refers to methods of presenting specific advice to users based on collected data to help them achieve a healthy lifestyle.

[0866] This invention provides a system that recognizes the user's emotions and supports the improvement of their lifestyle based on those emotions. For implementation, the system is composed of various hardware and software combinations.

[0867] The server receives facial images and audio data sent from the user's device and performs sentiment analysis. Sentiment analysis uses facial recognition and audio analysis libraries to extract data about the user's emotional state. For example, the open-source `face_recognition` library is used for facial recognition, and the `sound_analysis` library is used for audio analysis.

[0868] The analyzed emotional data is integrated on the server to generate appropriate feedback and advice for improving lifestyle habits for the user. This allows users to receive personalized suggestions based on their individual emotional state.

[0869] The device uses data received from the server to notify users of relevant events and activities in urban life. For example, when a user is feeling stressed, it provides information about relaxing music events. This notification function allows users to receive timely information to improve their quality of life.

[0870] For example, users who want to enjoy outdoor activities on the weekend can be notified of nearby hiking events or activities in nature parks. The system also includes a group function for sharing information and mutual encouragement, allowing users to support each other in improving their lifestyles.

[0871] Examples of prompts include, "Please suggest events in a smart city that are tailored to the user's emotions," and "Please generate suggestions for urban services to alleviate the stress the user is currently experiencing." By inputting these prompts into the AI ​​model, it becomes possible to provide more effective suggestions for improving daily life.

[0872] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0873] Step 1:

[0874] The user activates the device, and facial images and audio data are collected.

[0875] In this step, the user uses the device's camera and microphone to input their facial image and voice. The input data is sent to a server for sentiment analysis. This data collection provides fundamental information for accurately understanding the user's emotional state.

[0876] Step 2:

[0877] The server analyzes the facial image and audio data it receives to identify the emotional state.

[0878] The server analyzes the received facial image using a facial recognition library (e.g., face_recognition). Simultaneously, it analyzes the audio data using a sound analysis library (e.g., sound_analysis). This identifies the user's emotional state from their facial expressions and tone of voice. As output, it generates data on the analyzed emotional state, which serves as the basis for decisions in the next step.

[0879] Step 3:

[0880] Based on the emotional state analyzed by the server, it generates suggestions for appropriate lifestyle improvements.

[0881] The server uses a generative AI model to analyze emotional state data and generate lifestyle improvement suggestions tailored to the user. For example, if the user is feeling stressed, it will generate a prompt recommending urban events that could help them relax. An example of a prompt might be, "Please suggest some events in a smart city that are appropriate for the user's emotional state." The output will be data containing specific suggestions, which will be sent to the terminal.

[0882] Step 4:

[0883] The terminal notifies the user of the suggestions it has received from the server.

[0884] The device receives suggestions sent from the server and presents them to the user using its notification function. Specific actions include displaying them in the notification bar and generating pop-up windows. This allows users to receive timely lifestyle improvement information tailored to their needs.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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."

[0894] 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.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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.

[0901] 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.

[0902] 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.

[0903] 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.

[0904] 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.

[0905] 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.

[0906] The following is further disclosed regarding the embodiments described above.

[0907] (Claim 1)

[0908] A terminal equipped with an alarm function that provides a specific task and will not shut down until that task is completed,

[0909] A means of recording user activity information and visualizing progress,

[0910] A means of providing community features that allow users to interact with other users and encourage each other,

[0911] A means of providing users with timely feedback to improve their lifestyle habits,

[0912] A system that includes this.

[0913] (Claim 2)

[0914] The system according to claim 1, comprising an alarm function that gently promotes waking by using a progressively increasing volume.

[0915] (Claim 3)

[0916] The system according to claim 1, comprising means for analyzing the user's sleep and dietary information and providing recommendations for improving lifestyle habits.

[0917] "Example 1"

[0918] (Claim 1)

[0919] An information processing device equipped with a notification means that provides a task and does not stop until the task is resolved,

[0920] A means of recording individual behavioral data and visualizing progress,

[0921] A means of providing a community function for individuals to interact with a group and motivate each other,

[0922] A means of providing individuals with timely information on improving their lifestyles,

[0923] A system that includes this.

[0924] (Claim 2)

[0925] The system according to claim 1, comprising a notification means for promoting gentle waking using gradually increasing sound output.

[0926] (Claim 3)

[0927] The system according to claim 1, comprising means for analyzing an individual's rest information and nutritional intake information and making recommendations for improving their lifestyle.

[0928] "Application Example 1"

[0929] (Claim 1)

[0930] An information processing device equipped with a notification function that presents a specific task and does not stop until that task is completed,

[0931] A means of recording user behavior information and visualizing progress,

[0932] A means of providing communication functions that allow users to interact with other participants and encourage each other,

[0933] A means of providing users with timely feedback for improving their lifestyle habits,

[0934] A means of facilitating a task through an automated device that detects and demonstrates the user's actions,

[0935] A system that includes this.

[0936] (Claim 2)

[0937] The system according to claim 1, comprising a notification function that uses sequentially increasing volume to promote peaceful awakening.

[0938] (Claim 3)

[0939] The system according to claim 1, comprising means for analyzing the user's sleep and dietary information and making recommendations for improving lifestyle habits.

[0940] "Example 2 of combining an emotion engine"

[0941] (Claim 1)

[0942] A means for detecting a user's emotional state using facial recognition and voice analysis,

[0943] A means of adjusting the alarm volume and tone based on detected emotion data,

[0944] A means of recording the user's daily activities and analyzing their emotional state,

[0945] A means of suggesting community interactions and content using analyzed emotional data,

[0946] A means of providing users with optimal feedback for improving their lifestyle habits,

[0947] A system that includes this.

[0948] (Claim 2)

[0949] The system according to claim 1, comprising means for suggesting music that promotes relaxation or alertness based on the user's emotions.

[0950] (Claim 3)

[0951] The system according to claim 1, comprising means for evaluating the user's emotional state using a generative AI model and generating feedback based thereon.

[0952] "Application example 2 when combining with an emotional engine"

[0953] (Claim 1)

[0954] A computing device equipped with a signaling function that provides a specific task and does not stop until that task is resolved,

[0955] A means of recording user activity information and visualizing progress,

[0956] A means of providing a group function for users to exchange information with other participants and encourage each other,

[0957] A means of analyzing users' emotional information and notifying users of events and activities related to urban life,

[0958] A means of providing users with suggestions for improving their lifestyle habits as needed,

[0959] A system that includes this.

[0960] (Claim 2)

[0961] The system according to claim 1, comprising a signaling function that gently promotes awakening by using sequentially increasing volume.

[0962] (Claim 3)

[0963] A means of analyzing users' physiological state information and providing advice to improve lifestyle habits,

[0964] The system according to claim 1, comprising means for analyzing the emotional state of a user and proposing activities related to urban life. [Explanation of Symbols]

[0965] 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. An information processing device equipped with a notification function that presents a specific task and does not stop until that task is completed, A means of recording user behavior information and visualizing progress, A means of providing communication functions that allow users to interact with other participants and encourage each other, A means of providing users with timely feedback for improving their lifestyle habits, A means of facilitating a task through an automated device that detects and demonstrates the user's actions, A system that includes this.

2. The system according to claim 1, comprising a notification function that uses sequentially increasing volume to promote peaceful awakening.

3. The system according to claim 1, comprising means for analyzing the user's sleep and dietary information and making recommendations for improving lifestyle habits.

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