System

Abstract

To provide a system for providing support for an elderly person to live a healthy life.SOLUTION: The system includes means for a user to connect to the system via a terminal and perform authentication, means for the terminal displaying profile information of the user and transmitting input or updated profile information to a server, means for the user inputting a question or a problem from the terminal and the server receiving and recording the input data, and means for the server delivering the received question or problem to a chat generation artificial intelligence module. A system comprising: means for generating an appropriate response; means for transmitting the generated response to a terminal, wherein the terminal displays the response to a user; and means for receiving user feedback from the terminal, wherein the server records the data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Proper nutrition, exercise, medication adherence, and regular health checks are essential for older adults to maintain a healthy lifestyle. However, many older adults have difficulty obtaining information and monitoring their physical condition, and have limited opportunities to receive appropriate support. This situation can lead to a deterioration in their health and quality of life. Therefore, there is a need for a system that provides appropriate advice and support that is easily accessible to older adults. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention has developed a system that provides support for elderly people to live healthy lives. This system provides a means for elderly people to connect to the system via a terminal and perform authentication. The terminal also has a means for displaying user profile information and transmitting entered or updated profile information to a server. This allows users to input questions and concerns based on their health status and lifestyle habits from the terminal. The server has a means for receiving and recording the input data. Furthermore, the server has a means for passing the received questions and concerns to a chat generation AI module and generating appropriate responses. The generated responses are sent to the terminal, and the terminal has a means for displaying the responses to the user. Finally, a means is provided for receiving user feedback from the terminal and for the server to record the data. This allows elderly people to easily receive appropriate support and obtain advice and information for maintaining a healthy lifestyle.

[0006] A "terminal" is an electronic device used by a user to access the system and enter or receive information.

[0007] A "server" is a central computer system that manages and processes data from multiple terminals.

[0008] "Users" are elderly people who use the system to receive health support.

[0009] "Profile information" is detailed data about an individual, such as a user's health status, exercise habits, medication list, etc.

[0010] A "chat generation artificial intelligence module" is a software module that uses artificial intelligence to generate appropriate responses to users' questions and concerns.

[0011] "Authentication" is a procedure for verifying that a user has valid authority.

[0012] "Feedback" refers to the user's evaluation or opinion of the support or advice they receive.

[0013] A "health support system" is an integrated system that provides advice and information to help older people maintain a healthy lifestyle. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

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

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

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

[0020] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0022] [First embodiment]

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

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

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

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

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

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

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

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

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

[0035] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0036] 1. User Connection and Authentication

[0037] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0038] Examples:

[0039] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[0040] 2. Check the initial settings

[0041] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0042] Examples:

[0043] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[0044] 3. Accepting user questions

[0045] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0046] Examples:

[0047] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[0048] 4. Information Processing and Response Generation

[0049] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0050] Examples:

[0051] The server passes the user's question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The server then sends this response to the device, which displays it on the screen.

[0052] 5. Responding to the User

[0053] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0054] Examples:

[0055] The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The user confirms this.

[0056] 6. Feedback and Tracking

[0057] Users can input feedback on responses on the terminal screen, which then sends the input feedback to the server, which records it in a database, allowing for future system improvements.

[0058] Examples:

[0059] The user inputs feedback such as "The advice was helpful. Thank you," and the device sends this to the server, which stores the feedback in a database.

[0060] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and each element works together to provide appropriate support to the user.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[0064] Step 2:

[0065] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[0066] Step 3:

[0067] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[0068] Step 4:

[0069] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[0070] Step 5:

[0071] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[0072] Step 6:

[0073] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[0074] Step 7:

[0075] The server passes the received question to a chat generation AI module, which generates an appropriate response.

[0076] Step 8:

[0077] The server generates a response and sends it to the device, which displays it in the chat window.

[0078] Step 9:

[0079] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[0080] Step 10:

[0081] The user inputs feedback on the response, and the device sends the feedback to the server, which stores the feedback in a database.

[0082] The above is a specific processing flow of the present invention. At each step, the terminal, server, and user work together to provide appropriate health support.

[0083] Example 1

[0084] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0085] Daily health management and appropriate advice are essential for elderly people to live healthy lives, but it is difficult to continuously provide support tailored to each individual's health condition and lifestyle. In particular, it is a significant burden for elderly people to voluntarily collect health information and take appropriate actions based on that information. Therefore, the present invention aims to provide a system that automatically and continuously provides appropriate support based on each elderly person's health condition and lifestyle.

[0086] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0087] In this invention, the server includes a means for users to connect to the system via a terminal and perform authentication, a means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server, and a means for users to input questions or concerns from the terminal and for the server to receive and record the input data. This makes it possible to automatically and continuously provide appropriate support based on the health condition and lifestyle habits of each elderly person.

[0088] A "system" is a device, software, or combination thereof configured to provide assistance to older adults to lead healthy lives.

[0089] "User" means an individual who uses this system to manage or consult about their own health.

[0090] A "terminal" is an electronic device used by a user, such as a computer, smartphone, or tablet.

[0091] A "server" is a central system that receives and processes data sent from user terminals.

[0092] "Authentication" is a procedure for verifying that a user is a legitimate user when accessing a system.

[0093] "Profile information" is personal data about the user's health, lifestyle, etc.

[0094] "Database" means an information management system that allows the server to manage user profile information and other data.

[0095] "Questions and concerns" refer to health-related inquiries and worries that users enter through the system.

[0096] A "chat generation artificial intelligence module" is an AI-based software component used to generate appropriate responses to users' questions and concerns.

[0097] A "response" is an answer or advice to a user's questions or concerns, generated by the chat generation AI module.

[0098] "Feedback" refers to the opinions and evaluations that users give about the responses provided by the system.

[0099] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves cooperation between the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0100] User Authentication

[0101] The first step for a user to use the system is to connect to the system using a terminal and perform authentication. Specifically, the user launches an application on a terminal such as a smartphone or tablet and enters a username and password on the login screen. The terminal sends this authentication information to the server, which then compares it with a database for authentication. If authentication is successful, the server returns an approval message to the terminal and the user can access the next function of the system.

[0102] Verifying the Initial Configuration

[0103] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0104] Accepting user questions

[0105] The user enters a health-related question or concern into the chat window on the device. For example, "I've been feeling tired a lot lately. Do you have any advice?" The device then sends the entered question to the server.

[0106] Information processing and response generation

[0107] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The response is generated in text format and sent back to the device via the server.

[0108] Examples:

[0109] When a user types into the chat window, "I've been feeling tired a lot lately. Do you have any advice?", the server passes the question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods that are high in iron or consult your doctor."

[0110] Responding to the user

[0111] The terminal displays the response received from the server in the chat window, allowing the user to view it and take action as needed.

[0112] Feedback and Tracking

[0113] The user can then enter feedback about the response on the device screen. For example, they might type, "That advice was helpful. Thank you." The device then sends this feedback to the server, which records it in a database. This information can be used to improve the system in the future.

[0114] This system consists of a terminal, a server, a database, and a chat generation AI module. In particular, by using a generative AI model, it is possible to provide flexible and appropriate responses to the user's prompts. In this way, it is possible to automatically and continuously provide support for elderly people to live healthy lives.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Program processing flow

[0117] Step 1: User authentication

[0118] 1.1 Input: The user enters a username and password at a terminal.

[0119] 1.2 The terminal sends the entered authentication information to the server.

[0120] 1.3 The server checks the received authentication information against its database.

[0121] 1.4 Output: The server returns the authentication result to the terminal.

[0122] 1.5 Specific operation: The user launches the smartphone app and enters "taro123" and the password on the login screen. The device sends this to the server, which checks the database and returns the authentication result. The device then displays the home screen.

[0123] Step 2: Verify the initial configuration

[0124] 2.1 Input: The server receives a request after the user has been successfully authenticated.

[0125] 2.2 The server retrieves the user's profile information from the database.

[0126] 2.3 The device displays the received profile information on the screen and asks the user for confirmation.

[0127] 2.4 You will review and update your information as necessary.

[0128] 2.5 The device sends the updated information back to the server.

[0129] 2.6 Output: The server stores the latest profile information in the database.

[0130] 2.7 Specific operation: The server obtains the user's health information (e.g., "high blood pressure" or "walks three times a week") and sends it to the device. The user confirms and updates the information, and the device sends the updated information to the server, which stores it.

[0131] Step 3: Accepting user questions

[0132] 3.1 Input: The user inputs a question or concern into the chat window on the device.

[0133] 3.2 The terminal sends the entered question to the server.

[0134] 3.3 Output: The server records the questions it receives.

[0135] 3.4 Specific operation: The user types "I've been feeling tired a lot lately. Do you have any advice?" into the chat window, and the device sends this to the server. The server records the question.

[0136] Step 4: Information processing and response generation

[0137] 4.1 Input: The server passes the received question to the chat generation AI module.

[0138] 4.2 The artificial intelligence module generates responses based on the user's profile information and past consultation data.

[0139] 4.3 Output: The server sends the generated response to the terminal.

[0140] 4.4 Specific operation: The server passes the question "I've been feeling tired easily lately. Do you have any advice?" to the AI ​​module, and the AI ​​generates a response saying "It may be due to a lack of iron. Eat foods that are rich in iron or consult a doctor," which the server then sends to the terminal.

[0141] Step 5: Respond to the user

[0142] 5.1 Input: The server sends the generated response data to the terminal.

[0143] 5.2 The device displays the received response in the chat window.

[0144] 5.3 Output: The user sees the displayed response.

[0145] 5.4 Specific operation: The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." and the user confirms this.

[0146] Step 6: Feedback and tracking

[0147] 6.1 Input: The user inputs feedback on the device screen.

[0148] 6.2 The device sends the input feedback to the server.

[0149] 6.3 The server records the feedback in a database.

[0150] 6.4 Output: The feedback information is stored in a database.

[0151] 6.5 Specific operation: The user enters feedback such as "The advice was helpful. Thank you." The device sends this to the server, which then stores the feedback in a database.

[0152] The above is the specific operation and input / output flow performed at each processing step of this system.

[0153] (Application example 1)

[0154] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0155] To lead a healthy life, elderly people need appropriate health management and dietary suggestions. However, current technology lacks a system that effectively integrates users' health information and dietary suggestions to provide support tailored to their individual needs. It is also difficult for elderly people to easily input health-related questions and quickly receive appropriate advice and dietary suggestions. Therefore, there is a need for a comprehensive support system that helps elderly people manage their health on a daily basis.

[0156] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0157] In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; means for the server to pass the questions or concerns received by the server to a chat generation AI module and generate an appropriate response; means for the terminal to display the generated response to the user; means for the server to receive user feedback from the terminal and record the data; and means for generating optimal meal suggestions based on the elderly's health status and supporting ordering from a food delivery service. This allows elderly people to easily receive appropriate advice and meal suggestions based on their health information and dietary restrictions.

[0158] The "system for providing support for elderly people to live healthy lives" is a system designed to help elderly people collect and manage health-related information and provide appropriate advice and dietary suggestions.

[0159] A "terminal" is an electronic device that allows a user to access and operate the system, and includes smartphones, tablets, PCs, etc.

[0160] "Means for authentication" refers to a technology that executes a process to verify that a user is a legitimate user by entering a user name and password when logging into a system.

[0161] "Profile information" is data that includes individual information about a user, such as their health status, exercise habits, medication list, and dietary restrictions.

[0162] The "means for transmitting input or updated profile information to a server" is a technology for transmitting profile information input or updated by a user from a terminal to a server, and for the latest information to be reflected in the system.

[0163] "Means for inputting questions and concerns from a terminal and having the input data received and recorded by a server" refers to technology that executes a process in which a user inputs health-related questions and concerns from a terminal, and the server receives and stores the information.

[0164] The "chat generation artificial intelligence module" is an artificial intelligence system that generates appropriate advice and responses based on input questions and profile information.

[0165] The "means for transmitting the generated response to the terminal and for the terminal to display the response to the user" is a technology for executing a process in which the server transmits the generated response to the terminal and the terminal displays the response to the user.

[0166] The "means for receiving user feedback from a terminal and having the server record that data" is a technology for receiving feedback input by a user from a terminal and having the server record that information.

[0167] "Means for generating optimal meal suggestions based on health status and supporting ordering from food delivery services" refers to technology that generates optimal meal suggestions based on a user's health status and dietary restriction information, and supports ordering from food delivery services based on those suggestions.

[0168] A "database" is a digital storage device for managing and storing data such as user profile information and feedback.

[0169] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0170] User Connection and Authentication

[0171] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0172] Verifying the Initial Configuration

[0173] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0174] Accepting user questions

[0175] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0176] Information processing and response generation

[0177] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0178] Responding to the user

[0179] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0180] Health-based meal suggestions and food delivery support

[0181] The server generates optimal meal suggestions based on the user's health status, using data from the user's profile, such as health status, exercise habits, medication list, and dietary restrictions. The generated meal suggestions are provided to the user through an application that helps them order from a food delivery service.

[0182] Feedback and Tracking

[0183] Users can input their feedback on the responses and meal suggestions on the device screen, which then sends the input feedback to the server, which records it in a database and uses it to improve the system in the future.

[0184] Hardware and Software

[0185] Hardware: Devices include smartphones, tablets, and PCs. The device must be able to connect to the Internet.

[0186] Software: The server side includes a database management system (e.g., MySQL®), authentication function, and AI module (e.g., ChatGPT®).

[0187] Specific examples

[0188] Below is an example of how the system can be used.

[0189] Example of username and password

[0190] Username: taro123

[0191] password:

[0192] Health information update example

[0193] Health update: High blood pressure, walks three times a week

[0194] Example of question input

[0195] Question: I've been feeling tired a lot lately, do you have any advice?

[0196] Feedback input example

[0197] Feedback: Your advice was helpful. Thank you.

[0198] The system effectively manages users' health status and provides comprehensive support for elderly people to live a healthy lifestyle. By using a generative AI model and appropriate prompts, the system provides personalized advice and dietary suggestions to users.

[0199] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0200] Step 1:

[0201] The user starts the terminal application and enters their username and password on the login screen. The entered username and password are sent from the terminal to the server. The server compares the received authentication information with the database and performs authentication. If authentication is successful, the server returns approval information to the terminal and the home screen is displayed.

[0202] Input: Username (e.g. taro123), Password (e.g.)

[0203] Output: Authentication approval information (e.g., home screen display instruction)

[0204] Step 2:

[0205] The server retrieves the user's profile information from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends the new profile information to the server, which stores it in the database.

[0206] Input: User ID, current profile information

[0207] Output: Updated profile information

[0208] Step 3:

[0209] Users input health-related questions and concerns into a chat window on their device. The input questions and concerns are sent from the device to the server, which then records the received data in a database.

[0210] Input: Question or concern (e.g., "I've been feeling tired a lot lately. Do you have any advice?")

[0211] Output: Recorded questions and concerns

[0212] Step 4:

[0213] The server passes the received questions and concerns to a chat generation AI module, which generates the optimal response based on the user's profile information and past consultation data. The generated response is then sent back to the server.

[0214] Input: Questions and concerns, user profile information, past consultation data

[0215] Output: The generated response (e.g., "You may be suffering from an iron deficiency. Try eating foods high in iron or consult your doctor.")

[0216] Step 5:

[0217] The server sends the generated response to the terminal. The terminal displays the received response in a chat window and prompts the user to confirm it. The user confirms the displayed response.

[0218] Input: Generated response

[0219] Output: Displayed response

[0220] Step 6:

[0221] The server collects data for generating meal suggestions based on the user's health status, including the user's profile information and the latest data on the user's health status, and generates optimal meal suggestions based on the collected data to assist in ordering from a food delivery service.

[0222] Input: User profile information, latest health status data

[0223] Output: Optimal meal suggestions

[0224] Step 7:

[0225] The generated meal suggestions are sent to a terminal to assist the user in placing an order with a food delivery service. The terminal displays the suggested meal contents to the user and prompts the user to confirm the order. Once the user confirms the meal and confirms the order, the terminal sends the order information to the food delivery service.

[0226] Input: Optimal meal suggestions

[0227] Output: Food delivery order information

[0228] Step 8:

[0229] Users can input their feedback on the responses and meal suggestions into the device screen, which then sends the feedback to the server, which records the data in a database and uses it to improve the system in the future.

[0230] Input: Feedback (e.g. "That advice was helpful. Thank you.")

[0231] Output: Recorded feedback

[0232] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0233] The present invention combines an emotion engine with a system that provides the necessary support for elderly people to live healthy lives, and the elements of the terminal, server, user, and emotion engine work in coordination. The basic form for implementing this system is described in detail below.

[0234] 1. User Connection and Authentication

[0235] A user launches an application using a device. A login screen appears, prompting for a username and password. After the user enters the authentication information, the device sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the device, allowing the user to proceed to the next step.

[0236] Examples:

[0237] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[0238] 2. Check the initial settings

[0239] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0240] Examples:

[0241] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[0242] 3. Accepting user questions

[0243] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0244] Examples:

[0245] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[0246] 4. Information Processing and Response Generation

[0247] The server passes the received question to the chat generation AI module and emotion engine. The emotion engine analyzes the user's emotions from the text and provides this information to the chat generation AI module. The AI ​​module generates an appropriate response that takes the user's emotions into consideration. The generated response is then sent back to the terminal via the server.

[0248] Examples:

[0249] The server passes the user's question to the AI ​​module and emotion engine, and if the emotion engine detects the user's anxiety, it generates a response such as, "It may be due to an iron deficiency. First, relax and get some rest. If that doesn't improve, consult a doctor." The server sends this response to the device, which displays it on the screen.

[0250] 5. Responding to the User

[0251] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0252] Examples:

[0253] The device screen displays the message, "This may be due to a lack of iron. First, relax and get some rest. If this does not improve, consult a doctor." The user confirms this.

[0254] 6. Feedback and Tracking

[0255] Users can input feedback on responses on the device screen. The device sends the input feedback to the server, which records it in a database. In addition, the emotion engine adds and saves the user's emotion information to their profile information, allowing it to provide more appropriate advice based on their past emotion history during future consultations.

[0256] Examples:

[0257] The user enters feedback such as "The advice was helpful. Thank you," and the device sends this to the server. The server stores the feedback and the user's emotional information analyzed by the emotion engine in a database. The next time the user seeks advice again, a more appropriate response will be provided based on the user's past emotional history.

[0258] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion engine, it is possible to provide more personalized support that responds to the user's emotions.

[0259] The processing flow will be explained below.

[0260] Step 1:

[0261] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[0262] Step 2:

[0263] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[0264] Step 3:

[0265] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[0266] Step 4:

[0267] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[0268] Step 5:

[0269] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[0270] Step 6:

[0271] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[0272] Step 7:

[0273] The server passes the received question to the chat generation AI module and emotion engine, which analyzes the user's emotions from the text.

[0274] Step 8:

[0275] The emotion engine provides the analysis results to the chat generation AI module, which then generates an appropriate response that takes the user's emotions into account.

[0276] Step 9:

[0277] The server generates a response and sends it to the device, which displays it in the chat window.

[0278] Step 10:

[0279] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[0280] Step 11:

[0281] The user inputs feedback on the response, and the device sends the feedback to the server, which then stores the user's emotional information analyzed by the emotion engine in a database along with the feedback.

[0282] Step 12:

[0283] The server uses the stored emotional information as data to generate a more appropriate response the next time the customer consults.

[0284] The above is a specific processing flow of the present invention. At each step, the terminal, server, user, and emotion engine work together to provide appropriate health support according to the user's emotions.

[0285] Example 2

[0286] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0287] In order for elderly people to live healthy lives, they need health monitoring and advice, but conventional systems have had difficulty providing personalized support. In addition, there is a lack of technology to generate appropriate responses that take emotions into account, making it difficult to provide the specific support that users need.

[0288] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0289] In this invention, the server includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input a question or concern from the terminal and for the server to receive and record the input data; means for passing the question or concern received by the server to a natural language processing device and an emotion analysis device and generating an appropriate response; means for transmitting the generated response to the terminal and for the terminal to display the response to the user; means for receiving user feedback from the terminal and for the server to record the data; and means for the emotion analysis device to analyze emotions from the user's text and store the analysis results for use in generating future responses. This makes it possible to provide more personalized support that takes into account the user's individual health condition and emotions.

[0290] "Elderly" refers to people who are older and who require particular healthcare and lifestyle support.

[0291] "Healthy living" refers to lifestyle habits that maintain physical and mental health, including appropriate exercise, a balanced diet, and stress management.

[0292] "Support" refers to the help or support provided to achieve a specific goal or objective.

[0293] A "system" refers to a configuration of multiple interrelated elements or devices combined to perform a specific function.

[0294] "Terminal" refers to an electronic device that allows a user to access and operate the system. Specifically, this includes smartphones and personal computers.

[0295] "Connection" refers to the state in which a terminal communicates with a system and exchanges information.

[0296] "Authentication" refers to the procedures and processes used to verify that a user is a legitimate user.

[0297] "Profile information" refers to personal information such as the user's health status and lifestyle habits.

[0298] A "server" refers to a high-performance computer connected to a network that processes and stores data.

[0299] "Updating" refers to the process of replacing existing information with new information.

[0300] "Natural language processing" refers to computer software that understands and processes human language.

[0301] An "emotion analysis device" refers to a program or device that infers and analyzes emotions from text or voice.

[0302] "Response" refers to a reply or response to a question or request.

[0303] "Feedback" refers to evaluations or opinions about behavior or performance.

[0304] A "database" refers to a management system that stores large amounts of data and allows for efficient searching and manipulation.

[0305] "Monitoring" refers to the process of continuously observing and watching over a particular condition or situation.

[0306] The present invention is a system that provides necessary support for elderly people to live healthy lives, and each element of the system, including a user, a terminal, a server, a natural language processing device, and an emotion analysis device, operates in cooperation with each other. Detailed embodiments of the present invention will be described below.

[0307] User Connection and Authentication

[0308] A user launches an application using a device such as a smartphone or PC. A login screen appears, prompting them to enter their username and password. After the user enters their authentication information, the device encrypts it with SSL and sends it to the server. The server compares it with the received information using a MySQL database, and if authentication is successful, returns an approval response to the device. This allows the user to access the home screen.

[0309] Verifying the Initial Configuration

[0310] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays this on the screen and asks the user for confirmation. If the user updates the profile information, the device sends this information to the server again. The server stores the updated information in a MySQL database. For example, the user can enter or update their health information, such as "walks three times a week" or "high blood pressure."

[0311] Accepting user questions

[0312] The user uses the chat window on the device to input questions or concerns about their health. For example, the user might type, "I've been feeling tired a lot lately. Do you have any advice?" This input data is sent from the device to the server.

[0313] Information processing and response generation

[0314] The server passes the received question to a natural language processor (e.g., a BERT-based generative AI model) and a sentiment analyzer. The sentiment analyzer analyzes emotions from the user's text and provides the analysis results to the natural language processor. The natural language processor generates an appropriate response that takes the user's emotions into consideration. For example, if the sentiment analyzer detects the user's anxiety, it will generate a response such as, "It may be due to an iron deficiency, but please relax and rest first. If this does not improve, please consult a doctor." The server then sends the generated response to the terminal.

[0315] Responding to the user

[0316] The device displays the received response in a chat window, allowing the user to review the displayed response and follow the instructions.

[0317] Feedback and Tracking

[0318] The user can enter feedback on the system's response on the device screen. For example, they can enter "The advice was helpful. Thank you." The device then sends this feedback to the server. The server records the feedback and the emotional information analyzed by the emotion analyzer in a database, and provides more appropriate responses based on the user's past emotional history during future consultations.

[0319] As described above, this invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion analysis device, it is possible to provide personalized support that corresponds to the user's emotions.

[0320] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0321] Step 1:

[0322] The user launches the application on the device and the login screen appears. The user enters their username and password, which the device sends to the server. The server receives the input data and checks it against a database. If authentication is successful, it returns an approval response to the device. The device then displays the home screen.

[0323] Input: Username, Password

[0324] Data processing: Entered authentication information is SSL encrypted

[0325] Output: Authentication result (success / failure), home screen display

[0326] Step 2:

[0327] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information, the device sends the updated information to the server, which stores it in the database.

[0328] Input: User ID

[0329] Data processing: Retrieving, displaying, and updating profile information

[0330] Output: Display profile information on screen, save updated information

[0331] Step 3:

[0332] The user enters health-related questions and concerns into a chat window on the device, and the device sends this data to the server.

[0333] Input: User question

[0334] Data processing: Receiving and sending questions

[0335] Output: Record of received data

[0336] Step 4:

[0337] The server passes the received question to a natural language processing device and a sentiment analysis device. The sentiment analysis device analyzes emotions from the text and provides the analysis results to the natural language processing device. The natural language processing device generates a response that takes emotions into account, and the server sends this to the terminal.

[0338] Input: Question text

[0339] Data processing: sentiment analysis, response generation

[0340] Output: Chat response text

[0341] Step 5:

[0342] The terminal displays the response received from the server in the chat window, and the user can check it.

[0343] Input: Chat response text

[0344] Data manipulation: Displaying chat responses

[0345] Output: Response displayed on screen

[0346] Step 6:

[0347] The user enters feedback on the system's responses on the device screen, which then sends it to the server, which stores the feedback and the results of sentiment analysis in a database and uses them to generate future responses.

[0348] Input: User feedback text

[0349] Data processing: feedback and sentiment analysis results storage

[0350] Output: Save to database

[0351] (Application example 2)

[0352] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0353] In modern society, there are a wide variety of support systems for elderly people to maintain a healthy lifestyle, but few systems provide personalized advice that takes into account the user's emotional state. Furthermore, there is a particular need for appropriate suggestions regarding diet, which is closely related to health. Therefore, the challenge is to go beyond simply providing health information and provide effective support tailored to individual needs.

[0354] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: a means for a user to connect to the system via a terminal and perform authentication; a means for the terminal to display the user's profile information and send the entered or updated profile information to the server; a means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; a means for the server to pass the questions or concerns received by the server to a chat generation AI module and an emotion engine and generate an appropriate response; a means for the terminal to send the generated response to the user, and for the terminal to display the response to the user; a means for the server to receive user feedback from the terminal and record the data; a means for analyzing the user's emotional state using the emotion engine and generating a response based on the analysis; and a means for including food delivery suggestions as a response. This enables personalized health support and appropriate meal suggestions that take the user's emotional state into consideration.

[0355] "User" refers to individuals, primarily elderly people, who use the system.

[0356] A "terminal" is a device used by a user to access the system, and includes a smartphone, tablet, PC, etc.

[0357] "Server" refers to the computer system containing various modules that receive and record user profile information, questions, and feedback, and generate appropriate responses.

[0358] "Profile information" refers to information including a user's health status, exercise habits, medication list, dietary history, etc.

[0359] "Emotion engine" refers to a module that analyzes the user's emotional state from input data.

[0360] "Chat generation artificial intelligence module" refers to artificial intelligence technology that analyzes users' questions and concerns and generates appropriate responses.

[0361] "Food delivery" refers to a service that delivers meals selected by the user.

[0362] "Question" refers to a health-related inquiry or concern that a user enters through the system.

[0363] "Feedback" refers to opinions and impressions that a user inputs regarding a response or service provided.

[0364] "Response" refers to the answer or suggestion generated by the system in response to a user's question or concern.

[0365] "Database" refers to a system for managing and storing data such as profile information, feedback, and emotional state.

[0366] This invention realizes a support system for elderly people to live healthy lives. Users connect to the system via a terminal and are provided with personalized advice and food delivery suggestions using an emotion engine. This system requires a terminal, a server, an emotion engine, and a chat generation AI module.

[0367] 1. User Connection and Authentication

[0368] Users access the system via a device such as a smartphone and enter their authentication information on the login screen. This connects the device to the server and authenticates the user. For example, when a user enters a username and password, the device sends this to the server, and the authentication information is compared with the database.

[0369] 2. Check the initial settings

[0370] After authentication, the server retrieves the user's profile information from the database and sends it to the device. The device displays the information, and the user can review and update it as needed. For example, the user can update their health status or diet history and then send the information back to the server.

[0371] 3. Accepting user questions

[0372] When a user types a health-related question or concern into the chat window on their device, the device sends it to the server. For example, it sends a question like, "I've lost my appetite recently. Do you have any recommended meals?"

[0373] 4. Information Processing and Response Generation

[0374] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the emotion from the user's input and provides this information to the chat generation AI module. This generates an appropriate response that takes the user's emotion into consideration. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" may be generated.

[0375] 5. Responding to the User

[0376] The generated response is sent to the terminal via the server and displayed in the terminal's chat window, where the user can review it and take appropriate action, such as reviewing the suggested menu and placing an order.

[0377] 6. Feedback and Tracking

[0378] Users can enter feedback on the responses and services provided. The feedback is sent from the device to the server and recorded in a database. This allows future support to be more personalized. For example, you can send feedback such as, "The recommended meal was very good."

[0379] Hardware and Software Description

[0380] The following hardware and software are required to implement this system:

[0381] Hardware: Smartphones, servers

[0382] Software: Emotion engine, chat generation AI module, database management system

[0383] Data processing and calculation are performed as follows: First, the server receives the user's input data. Next, the emotion engine analyzes the data and extracts emotional information. This information is provided to the chat generation AI module, which generates an optimal response based on the user's emotional state. The generated response is returned to the server and transmitted to the device.

[0384] Examples of concrete examples and prompts

[0385] Specifically, the user sends a question such as, "I haven't had much of an appetite lately. Do you have any recommended meals?" The system receives this, the emotion engine analyzes the user's emotional state, and the chat generation AI module generates a response such as, "Let's try ordering something rich in iron or a soup that's easy to digest." This response is sent to the device via the server and displayed in the chat window.

[0386] Example prompt sentence:

[0387] "Question: I haven't had much of an appetite lately. Is there any food you'd recommend? Emotions: Anxiety, fatigue."

[0388] In this way, older people are provided with specific and personalized support to lead healthier lives.

[0389] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0390] Step 1:

[0391] A user connects to the system using a terminal and enters a username and password on the login screen. The entered authentication information is sent from the terminal to the server. The server checks the database and, if authentication is successful, returns authorization information to the terminal. The terminal then displays a login success screen, allowing the user to access the system.

[0392] Step 2:

[0393] If authentication is successful, the server retrieves the user's profile information from the database and sends it to the device. The device displays this information and asks the user for confirmation. If the user updates their profile information, the device sends the updated information to the server, which records it as the latest information in the database. The database includes information such as health status and dietary history.

[0394] Step 3:

[0395] The user inputs a health-related question or concern into the chat window on the device. For example, the user might input a question like, "I've lost my appetite recently. Is there any food you'd recommend?" This input data is sent from the device to the server. The input data is received in order to promptly accept the user's health consultation.

[0396] Step 4:

[0397] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the user's emotional state from the question and provides the analysis results to the chat generation AI module. For example, emotions such as "anxiety" and "fatigue" are analyzed. Based on the analyzed emotional information, the chat generation AI module generates the optimal response for the user. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" might be given.

[0398] Step 5:

[0399] The generated response is sent to the device via the server. The device displays it in a chat window for the user to confirm. The user can then select from the suggested meal menu and place a food delivery order. Input is in the form of chat, and output is displayed as meal suggestions.

[0400] Step 6:

[0401] The user inputs feedback on the provided responses and meal suggestions from the device. For example, the user may enter feedback such as "The recommended meal was very good." This feedback data is sent from the device to the server, which records the feedback in a database. The recorded feedback is reflected in future support. Emotional information is also stored in the database along with the feedback.

[0402] In summary, users connect to the system via their devices and receive personalized meal suggestions based on their health status and emotions using an emotion engine and chat generation AI module. They can then order food delivery based on the suggested menu. Feedback also allows the system to provide better support.

[0403] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0404] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0405] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0406] [Second embodiment]

[0407] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0408] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0409] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0410] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0411] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0412] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0413] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0414] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0415] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0416] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0417] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0418] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0419] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0420] 1. User Connection and Authentication

[0421] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0422] Examples:

[0423] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[0424] 2. Check the initial settings

[0425] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0426] Examples:

[0427] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[0428] 3. Accepting user questions

[0429] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0430] Examples:

[0431] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[0432] 4. Information Processing and Response Generation

[0433] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0434] Examples:

[0435] The server passes the user's question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The server then sends this response to the device, which displays it on the screen.

[0436] 5. Responding to the User

[0437] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0438] Examples:

[0439] The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The user confirms this.

[0440] 6. Feedback and Tracking

[0441] Users can input feedback on responses on the terminal screen, which then sends the input feedback to the server, which records it in a database, allowing for future system improvements.

[0442] Examples:

[0443] The user inputs feedback such as "The advice was helpful. Thank you," and the device sends this to the server, which stores the feedback in a database.

[0444] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and each element works together to provide appropriate support to the user.

[0445] The processing flow will be explained below.

[0446] Step 1:

[0447] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[0448] Step 2:

[0449] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[0450] Step 3:

[0451] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[0452] Step 4:

[0453] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[0454] Step 5:

[0455] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[0456] Step 6:

[0457] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[0458] Step 7:

[0459] The server passes the received question to a chat generation AI module, which generates an appropriate response.

[0460] Step 8:

[0461] The server generates a response and sends it to the device, which displays it in the chat window.

[0462] Step 9:

[0463] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[0464] Step 10:

[0465] The user inputs feedback on the response, and the device sends the feedback to the server, which stores the feedback in a database.

[0466] The above is a specific processing flow of the present invention. At each step, the terminal, server, and user work together to provide appropriate health support.

[0467] Example 1

[0468] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0469] Daily health management and appropriate advice are essential for elderly people to live healthy lives, but it is difficult to continuously provide support tailored to each individual's health condition and lifestyle. In particular, it is a significant burden for elderly people to voluntarily collect health information and take appropriate actions based on that information. Therefore, the present invention aims to provide a system that automatically and continuously provides appropriate support based on each elderly person's health condition and lifestyle.

[0470] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0471] In this invention, the server includes a means for users to connect to the system via a terminal and perform authentication, a means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server, and a means for users to input questions or concerns from the terminal and for the server to receive and record the input data. This makes it possible to automatically and continuously provide appropriate support based on the health condition and lifestyle habits of each elderly person.

[0472] A "system" is a device, software, or combination thereof configured to provide assistance to older adults to lead healthy lives.

[0473] "User" means an individual who uses this system to manage or consult about their own health.

[0474] A "terminal" is an electronic device used by a user, such as a computer, smartphone, or tablet.

[0475] A "server" is a central system that receives and processes data sent from user terminals.

[0476] "Authentication" is a procedure for verifying that a user is a legitimate user when accessing a system.

[0477] "Profile information" is personal data about the user's health, lifestyle, etc.

[0478] "Database" means an information management system that allows the server to manage user profile information and other data.

[0479] "Questions and concerns" refer to health-related inquiries and worries that users enter through the system.

[0480] A "chat generation artificial intelligence module" is an AI-based software component used to generate appropriate responses to users' questions and concerns.

[0481] A "response" is an answer or advice to a user's questions or concerns, generated by the chat generation AI module.

[0482] "Feedback" refers to the opinions and evaluations that users give about the responses provided by the system.

[0483] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves cooperation between the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0484] User Authentication

[0485] The first step for a user to use the system is to connect to the system using a terminal and perform authentication. Specifically, the user launches an application on a terminal such as a smartphone or tablet and enters a username and password on the login screen. The terminal sends this authentication information to the server, which then compares it with a database for authentication. If authentication is successful, the server returns an approval message to the terminal and the user can access the next function of the system.

[0486] Verifying the Initial Configuration

[0487] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0488] Accepting user questions

[0489] The user enters a health-related question or concern into the chat window on the device. For example, "I've been feeling tired a lot lately. Do you have any advice?" The device then sends the entered question to the server.

[0490] Information processing and response generation

[0491] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The response is generated in text format and sent back to the device via the server.

[0492] Examples:

[0493] When a user types into the chat window, "I've been feeling tired a lot lately. Do you have any advice?", the server passes the question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods that are high in iron or consult your doctor."

[0494] Responding to the user

[0495] The terminal displays the response received from the server in the chat window, allowing the user to view it and take action as needed.

[0496] Feedback and Tracking

[0497] The user can then enter feedback about the response on the device screen. For example, they might type, "That advice was helpful. Thank you." The device then sends this feedback to the server, which records it in a database. This information can be used to improve the system in the future.

[0498] This system consists of a terminal, a server, a database, and a chat generation AI module. In particular, by using a generative AI model, it is possible to provide flexible and appropriate responses to the user's prompts. In this way, it is possible to automatically and continuously provide support for elderly people to live healthy lives.

[0499] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0500] Program processing flow

[0501] Step 1: User authentication

[0502] 1.1 Input: The user enters a username and password at a terminal.

[0503] 1.2 The terminal sends the entered authentication information to the server.

[0504] 1.3 The server checks the received authentication information against its database.

[0505] 1.4 Output: The server returns the authentication result to the terminal.

[0506] 1.5 Specific operation: The user launches the smartphone app and enters "taro123" and the password on the login screen. The device sends this to the server, which checks the database and returns the authentication result. The device then displays the home screen.

[0507] Step 2: Verify the initial configuration

[0508] 2.1 Input: The server receives a request after the user has been successfully authenticated.

[0509] 2.2 The server retrieves the user's profile information from the database.

[0510] 2.3 The device displays the received profile information on the screen and asks the user for confirmation.

[0511] 2.4 You will review and update your information as necessary.

[0512] 2.5 The device sends the updated information back to the server.

[0513] 2.6 Output: The server stores the latest profile information in the database.

[0514] 2.7 Specific operation: The server obtains the user's health information (e.g., "high blood pressure" or "walks three times a week") and sends it to the device. The user confirms and updates the information, and the device sends the updated information to the server, which stores it.

[0515] Step 3: Accepting user questions

[0516] 3.1 Input: The user inputs a question or concern into the chat window on the device.

[0517] 3.2 The terminal sends the entered question to the server.

[0518] 3.3 Output: The server records the questions it receives.

[0519] 3.4 Specific operation: The user types "I've been feeling tired a lot lately. Do you have any advice?" into the chat window, and the device sends this to the server. The server records the question.

[0520] Step 4: Information processing and response generation

[0521] 4.1 Input: The server passes the received question to the chat generation AI module.

[0522] 4.2 The artificial intelligence module generates responses based on the user's profile information and past consultation data.

[0523] 4.3 Output: The server sends the generated response to the terminal.

[0524] 4.4 Specific operation: The server passes the question "I've been feeling tired easily lately. Do you have any advice?" to the AI ​​module, and the AI ​​generates a response saying "It may be due to a lack of iron. Eat foods that are rich in iron or consult a doctor," which the server then sends to the terminal.

[0525] Step 5: Respond to the user

[0526] 5.1 Input: The server sends the generated response data to the terminal.

[0527] 5.2 The device displays the received response in the chat window.

[0528] 5.3 Output: The user sees the displayed response.

[0529] 5.4 Specific operation: The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." and the user confirms this.

[0530] Step 6: Feedback and tracking

[0531] 6.1 Input: The user inputs feedback on the device screen.

[0532] 6.2 The device sends the input feedback to the server.

[0533] 6.3 The server records the feedback in a database.

[0534] 6.4 Output: The feedback information is stored in a database.

[0535] 6.5 Specific operation: The user enters feedback such as "The advice was helpful. Thank you." The device sends this to the server, which then stores the feedback in a database.

[0536] The above is the specific operation and input / output flow performed at each processing step of this system.

[0537] (Application example 1)

[0538] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0539] To lead a healthy life, elderly people need appropriate health management and dietary suggestions. However, current technology lacks a system that effectively integrates users' health information and dietary suggestions to provide support tailored to their individual needs. It is also difficult for elderly people to easily input health-related questions and quickly receive appropriate advice and dietary suggestions. Therefore, there is a need for a comprehensive support system that helps elderly people manage their health on a daily basis.

[0540] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0541] In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; means for the server to pass the questions or concerns received by the server to a chat generation AI module and generate an appropriate response; means for the terminal to display the generated response to the user; means for the server to receive user feedback from the terminal and record the data; and means for generating optimal meal suggestions based on the elderly's health status and supporting ordering from a food delivery service. This allows elderly people to easily receive appropriate advice and meal suggestions based on their health information and dietary restrictions.

[0542] The "system for providing support for elderly people to live healthy lives" is a system designed to help elderly people collect and manage health-related information and provide appropriate advice and dietary suggestions.

[0543] A "terminal" is an electronic device that allows a user to access and operate the system, and includes smartphones, tablets, PCs, etc.

[0544] "Means for authentication" refers to a technology that executes a process to verify that a user is a legitimate user by entering a user name and password when logging into a system.

[0545] "Profile information" is data that includes individual information about a user, such as their health status, exercise habits, medication list, and dietary restrictions.

[0546] The "means for transmitting input or updated profile information to a server" is a technology for transmitting profile information input or updated by a user from a terminal to a server, and for the latest information to be reflected in the system.

[0547] "Means for inputting questions and concerns from a terminal and having the input data received and recorded by a server" refers to technology that executes a process in which a user inputs health-related questions and concerns from a terminal, and the server receives and stores the information.

[0548] The "chat generation artificial intelligence module" is an artificial intelligence system that generates appropriate advice and responses based on input questions and profile information.

[0549] The "means for transmitting the generated response to the terminal and for the terminal to display the response to the user" is a technology for executing a process in which the server transmits the generated response to the terminal and the terminal displays the response to the user.

[0550] The "means for receiving user feedback from a terminal and having the server record that data" is a technology for receiving feedback input by a user from a terminal and having the server record that information.

[0551] "Means for generating optimal meal suggestions based on health status and supporting ordering from food delivery services" refers to technology that generates optimal meal suggestions based on a user's health status and dietary restriction information, and supports ordering from food delivery services based on those suggestions.

[0552] A "database" is a digital storage device for managing and storing data such as user profile information and feedback.

[0553] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0554] User Connection and Authentication

[0555] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0556] Verifying the Initial Configuration

[0557] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0558] Accepting user questions

[0559] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0560] Information processing and response generation

[0561] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0562] Responding to the user

[0563] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0564] Health-based meal suggestions and food delivery support

[0565] The server generates optimal meal suggestions based on the user's health status, using data from the user's profile, such as health status, exercise habits, medication list, and dietary restrictions. The generated meal suggestions are provided to the user through an application that helps them order from a food delivery service.

[0566] Feedback and Tracking

[0567] Users can input their feedback on the responses and meal suggestions on the device screen, which then sends the input feedback to the server, which records it in a database and uses it to improve the system in the future.

[0568] Hardware and Software

[0569] Hardware: Devices include smartphones, tablets, and PCs. The device must be able to connect to the Internet.

[0570] Software: The server side includes database management systems (e.g., MySQL), authentication functions, and AI modules (e.g., ChatGPT).

[0571] Specific examples

[0572] Below is an example of how the system can be used.

[0573] Example of username and password

[0574] Username: taro123

[0575] password:

[0576] Health information update example

[0577] Health update: High blood pressure, walks three times a week

[0578] Example of question input

[0579] Question: I've been feeling tired a lot lately, do you have any advice?

[0580] Feedback input example

[0581] Feedback: Your advice was helpful. Thank you.

[0582] The system effectively manages users' health status and provides comprehensive support for elderly people to live a healthy lifestyle. By using a generative AI model and appropriate prompts, the system provides personalized advice and dietary suggestions to users.

[0583] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0584] Step 1:

[0585] The user starts the terminal application and enters their username and password on the login screen. The entered username and password are sent from the terminal to the server. The server compares the received authentication information with the database and performs authentication. If authentication is successful, the server returns approval information to the terminal and the home screen is displayed.

[0586] Input: Username (e.g. taro123), Password (e.g.)

[0587] Output: Authentication approval information (e.g., home screen display instruction)

[0588] Step 2:

[0589] The server retrieves the user's profile information from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends the new profile information to the server, which stores it in the database.

[0590] Input: User ID, current profile information

[0591] Output: Updated profile information

[0592] Step 3:

[0593] Users input health-related questions and concerns into a chat window on their device. The input questions and concerns are sent from the device to the server, which then records the received data in a database.

[0594] Input: Question or concern (e.g., "I've been feeling tired a lot lately. Do you have any advice?")

[0595] Output: Recorded questions and concerns

[0596] Step 4:

[0597] The server passes the received questions and concerns to a chat generation AI module, which generates the optimal response based on the user's profile information and past consultation data. The generated response is then sent back to the server.

[0598] Input: Questions and concerns, user profile information, past consultation data

[0599] Output: The generated response (e.g., "You may be suffering from an iron deficiency. Try eating foods high in iron or consult your doctor.")

[0600] Step 5:

[0601] The server sends the generated response to the terminal. The terminal displays the received response in a chat window and prompts the user to confirm it. The user confirms the displayed response.

[0602] Input: Generated response

[0603] Output: Displayed response

[0604] Step 6:

[0605] The server collects data for generating meal suggestions based on the user's health status, including the user's profile information and the latest data on the user's health status, and generates optimal meal suggestions based on the collected data to assist in ordering from a food delivery service.

[0606] Input: User profile information, latest health status data

[0607] Output: Optimal meal suggestions

[0608] Step 7:

[0609] The generated meal suggestions are sent to a terminal to assist the user in placing an order with a food delivery service. The terminal displays the suggested meal contents to the user and prompts the user to confirm the order. Once the user confirms the meal and confirms the order, the terminal sends the order information to the food delivery service.

[0610] Input: Optimal meal suggestions

[0611] Output: Food delivery order information

[0612] Step 8:

[0613] Users can input their feedback on the responses and meal suggestions into the device screen, which then sends the feedback to the server, which records the data in a database and uses it to improve the system in the future.

[0614] Input: Feedback (e.g. "That advice was helpful. Thank you.")

[0615] Output: Recorded feedback

[0616] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0617] The present invention combines an emotion engine with a system that provides the necessary support for elderly people to live healthy lives, and the elements of the terminal, server, user, and emotion engine work in coordination. The basic form for implementing this system is described in detail below.

[0618] 1. User Connection and Authentication

[0619] A user launches an application using a device. A login screen appears, prompting for a username and password. After the user enters the authentication information, the device sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the device, allowing the user to proceed to the next step.

[0620] Examples:

[0621] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[0622] 2. Check the initial settings

[0623] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0624] Examples:

[0625] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[0626] 3. Accepting user questions

[0627] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0628] Examples:

[0629] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[0630] 4. Information Processing and Response Generation

[0631] The server passes the received question to the chat generation AI module and emotion engine. The emotion engine analyzes the user's emotions from the text and provides this information to the chat generation AI module. The AI ​​module generates an appropriate response that takes the user's emotions into consideration. The generated response is then sent back to the terminal via the server.

[0632] Examples:

[0633] The server passes the user's question to the AI ​​module and emotion engine, and if the emotion engine detects the user's anxiety, it generates a response such as, "It may be due to an iron deficiency. First, relax and get some rest. If that doesn't improve, consult a doctor." The server sends this response to the device, which displays it on the screen.

[0634] 5. Responding to the User

[0635] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0636] Examples:

[0637] The device screen displays the message, "This may be due to a lack of iron. First, relax and get some rest. If this does not improve, consult a doctor." The user confirms this.

[0638] 6. Feedback and Tracking

[0639] Users can input feedback on responses on the device screen. The device sends the input feedback to the server, which records it in a database. In addition, the emotion engine adds and saves the user's emotion information to their profile information, allowing it to provide more appropriate advice based on their past emotion history during future consultations.

[0640] Examples:

[0641] The user enters feedback such as "The advice was helpful. Thank you," and the device sends this to the server. The server stores the feedback and the user's emotional information analyzed by the emotion engine in a database. The next time the user seeks advice again, a more appropriate response will be provided based on the user's past emotional history.

[0642] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion engine, it is possible to provide more personalized support that responds to the user's emotions.

[0643] The processing flow will be explained below.

[0644] Step 1:

[0645] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[0646] Step 2:

[0647] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[0648] Step 3:

[0649] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[0650] Step 4:

[0651] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[0652] Step 5:

[0653] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[0654] Step 6:

[0655] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[0656] Step 7:

[0657] The server passes the received question to the chat generation AI module and emotion engine, which analyzes the user's emotions from the text.

[0658] Step 8:

[0659] The emotion engine provides the analysis results to the chat generation AI module, which then generates an appropriate response that takes the user's emotions into account.

[0660] Step 9:

[0661] The server generates a response and sends it to the device, which displays it in the chat window.

[0662] Step 10:

[0663] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[0664] Step 11:

[0665] The user inputs feedback on the response, and the device sends the feedback to the server, which then stores the user's emotional information analyzed by the emotion engine in a database along with the feedback.

[0666] Step 12:

[0667] The server uses the stored emotional information as data to generate a more appropriate response the next time the customer consults.

[0668] The above is a specific processing flow of the present invention. At each step, the terminal, server, user, and emotion engine work together to provide appropriate health support according to the user's emotions.

[0669] Example 2

[0670] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0671] In order for elderly people to live healthy lives, they need health monitoring and advice, but conventional systems have had difficulty providing personalized support. In addition, there is a lack of technology to generate appropriate responses that take emotions into account, making it difficult to provide the specific support that users need.

[0672] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0673] In this invention, the server includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input a question or concern from the terminal and for the server to receive and record the input data; means for passing the question or concern received by the server to a natural language processing device and an emotion analysis device and generating an appropriate response; means for transmitting the generated response to the terminal and for the terminal to display the response to the user; means for receiving user feedback from the terminal and for the server to record the data; and means for the emotion analysis device to analyze emotions from the user's text and store the analysis results for use in generating future responses. This makes it possible to provide more personalized support that takes into account the user's individual health condition and emotions.

[0674] "Elderly" refers to people who are older and who require particular healthcare and lifestyle support.

[0675] "Healthy living" refers to lifestyle habits that maintain physical and mental health, including appropriate exercise, a balanced diet, and stress management.

[0676] "Support" refers to the help or support provided to achieve a specific goal or objective.

[0677] A "system" refers to a configuration of multiple interrelated elements or devices combined to perform a specific function.

[0678] "Terminal" refers to an electronic device that allows a user to access and operate the system. Specifically, this includes smartphones and personal computers.

[0679] "Connection" refers to the state in which a terminal communicates with a system and exchanges information.

[0680] "Authentication" refers to the procedures and processes used to verify that a user is a legitimate user.

[0681] "Profile information" refers to personal information such as the user's health status and lifestyle habits.

[0682] A "server" refers to a high-performance computer connected to a network that processes and stores data.

[0683] "Updating" refers to the process of replacing existing information with new information.

[0684] "Natural language processing" refers to computer software that understands and processes human language.

[0685] An "emotion analysis device" refers to a program or device that infers and analyzes emotions from text or voice.

[0686] "Response" refers to a reply or response to a question or request.

[0687] "Feedback" refers to evaluations or opinions about behavior or performance.

[0688] A "database" refers to a management system that stores large amounts of data and allows for efficient searching and manipulation.

[0689] "Monitoring" refers to the process of continuously observing and watching over a particular condition or situation.

[0690] The present invention is a system that provides necessary support for elderly people to live healthy lives, and each element of the system, including a user, a terminal, a server, a natural language processing device, and an emotion analysis device, operates in cooperation with each other. Detailed embodiments of the present invention will be described below.

[0691] User Connection and Authentication

[0692] A user launches an application using a device such as a smartphone or PC. A login screen appears, prompting them to enter their username and password. After the user enters their authentication information, the device encrypts it with SSL and sends it to the server. The server compares it with the received information using a MySQL database, and if authentication is successful, returns an approval response to the device. This allows the user to access the home screen.

[0693] Verifying the Initial Configuration

[0694] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays this on the screen and asks the user for confirmation. If the user updates the profile information, the device sends this information to the server again. The server stores the updated information in a MySQL database. For example, the user can enter or update their health information, such as "walks three times a week" or "high blood pressure."

[0695] Accepting user questions

[0696] The user uses the chat window on the device to input questions or concerns about their health. For example, the user might type, "I've been feeling tired a lot lately. Do you have any advice?" This input data is sent from the device to the server.

[0697] Information processing and response generation

[0698] The server passes the received question to a natural language processor (e.g., a BERT-based generative AI model) and a sentiment analyzer. The sentiment analyzer analyzes emotions from the user's text and provides the analysis results to the natural language processor. The natural language processor generates an appropriate response that takes the user's emotions into consideration. For example, if the sentiment analyzer detects the user's anxiety, it will generate a response such as, "It may be due to an iron deficiency, but please relax and rest first. If this does not improve, please consult a doctor." The server then sends the generated response to the terminal.

[0699] Responding to the user

[0700] The device displays the received response in a chat window, allowing the user to review the displayed response and follow the instructions.

[0701] Feedback and Tracking

[0702] The user can enter feedback on the system's response on the device screen. For example, they can enter "The advice was helpful. Thank you." The device then sends this feedback to the server. The server records the feedback and the emotional information analyzed by the emotion analyzer in a database, and provides more appropriate responses based on the user's past emotional history during future consultations.

[0703] As described above, this invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion analysis device, it is possible to provide personalized support that corresponds to the user's emotions.

[0704] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0705] Step 1:

[0706] The user launches the application on the device and the login screen appears. The user enters their username and password, which the device sends to the server. The server receives the input data and checks it against a database. If authentication is successful, it returns an approval response to the device. The device then displays the home screen.

[0707] Input: Username, Password

[0708] Data processing: Entered authentication information is SSL encrypted

[0709] Output: Authentication result (success / failure), home screen display

[0710] Step 2:

[0711] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information, the device sends the updated information to the server, which stores it in the database.

[0712] Input: User ID

[0713] Data processing: Retrieving, displaying, and updating profile information

[0714] Output: Display profile information on screen, save updated information

[0715] Step 3:

[0716] The user enters health-related questions and concerns into a chat window on the device, and the device sends this data to the server.

[0717] Input: User question

[0718] Data processing: Receiving and sending questions

[0719] Output: Record of received data

[0720] Step 4:

[0721] The server passes the received question to a natural language processing device and a sentiment analysis device. The sentiment analysis device analyzes emotions from the text and provides the analysis results to the natural language processing device. The natural language processing device generates a response that takes emotions into account, and the server sends this to the terminal.

[0722] Input: Question text

[0723] Data processing: sentiment analysis, response generation

[0724] Output: Chat response text

[0725] Step 5:

[0726] The terminal displays the response received from the server in the chat window, and the user can check it.

[0727] Input: Chat response text

[0728] Data manipulation: Displaying chat responses

[0729] Output: Response displayed on screen

[0730] Step 6:

[0731] The user enters feedback on the system's responses on the device screen, which then sends it to the server, which stores the feedback and the results of sentiment analysis in a database and uses them to generate future responses.

[0732] Input: User feedback text

[0733] Data processing: feedback and sentiment analysis results storage

[0734] Output: Save to database

[0735] (Application example 2)

[0736] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0737] In modern society, there are a wide variety of support systems for elderly people to maintain a healthy lifestyle, but few systems provide personalized advice that takes into account the user's emotional state. Furthermore, there is a particular need for appropriate suggestions regarding diet, which is closely related to health. Therefore, the challenge is to go beyond simply providing health information and provide effective support tailored to individual needs.

[0738] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: a means for a user to connect to the system via a terminal and perform authentication; a means for the terminal to display the user's profile information and send the entered or updated profile information to the server; a means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; a means for the server to pass the questions or concerns received by the server to a chat generation AI module and an emotion engine and generate an appropriate response; a means for the terminal to send the generated response to the user, and for the terminal to display the response to the user; a means for the server to receive user feedback from the terminal and record the data; a means for analyzing the user's emotional state using the emotion engine and generating a response based on the analysis; and a means for including food delivery suggestions as a response. This enables personalized health support and appropriate meal suggestions that take the user's emotional state into consideration.

[0739] "User" refers to individuals, primarily elderly people, who use the system.

[0740] A "terminal" is a device used by a user to access the system, and includes a smartphone, tablet, PC, etc.

[0741] "Server" refers to the computer system containing various modules that receive and record user profile information, questions, and feedback, and generate appropriate responses.

[0742] "Profile information" refers to information including a user's health status, exercise habits, medication list, dietary history, etc.

[0743] "Emotion engine" refers to a module that analyzes the user's emotional state from input data.

[0744] "Chat generation artificial intelligence module" refers to artificial intelligence technology that analyzes users' questions and concerns and generates appropriate responses.

[0745] "Food delivery" refers to a service that delivers meals selected by the user.

[0746] "Question" refers to a health-related inquiry or concern that a user enters through the system.

[0747] "Feedback" refers to opinions and impressions that a user inputs regarding a response or service provided.

[0748] "Response" refers to the answer or suggestion generated by the system in response to a user's question or concern.

[0749] "Database" refers to a system for managing and storing data such as profile information, feedback, and emotional state.

[0750] This invention realizes a support system for elderly people to live healthy lives. Users connect to the system via a terminal and are provided with personalized advice and food delivery suggestions using an emotion engine. This system requires a terminal, a server, an emotion engine, and a chat generation AI module.

[0751] 1. User Connection and Authentication

[0752] Users access the system via a device such as a smartphone and enter their authentication information on the login screen. This connects the device to the server and authenticates the user. For example, when a user enters a username and password, the device sends this to the server, and the authentication information is compared with the database.

[0753] 2. Check the initial settings

[0754] After authentication, the server retrieves the user's profile information from the database and sends it to the device. The device displays the information, and the user can review and update it as needed. For example, the user can update their health status or diet history and then send the information back to the server.

[0755] 3. Accepting user questions

[0756] When a user types a health-related question or concern into the chat window on their device, the device sends it to the server. For example, it sends a question like, "I've lost my appetite recently. Do you have any recommended meals?"

[0757] 4. Information Processing and Response Generation

[0758] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the emotion from the user's input and provides this information to the chat generation AI module. This generates an appropriate response that takes the user's emotion into consideration. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" may be generated.

[0759] 5. Responding to the User

[0760] The generated response is sent to the terminal via the server and displayed in the terminal's chat window, where the user can review it and take appropriate action, such as reviewing the suggested menu and placing an order.

[0761] 6. Feedback and Tracking

[0762] Users can enter feedback on the responses and services provided. The feedback is sent from the device to the server and recorded in a database. This allows future support to be more personalized. For example, you can send feedback such as, "The recommended meal was very good."

[0763] Hardware and Software Description

[0764] The following hardware and software are required to implement this system:

[0765] Hardware: Smartphones, servers

[0766] Software: Emotion engine, chat generation AI module, database management system

[0767] Data processing and calculation are performed as follows: First, the server receives the user's input data. Next, the emotion engine analyzes the data and extracts emotional information. This information is provided to the chat generation AI module, which generates an optimal response based on the user's emotional state. The generated response is returned to the server and transmitted to the device.

[0768] Examples of concrete examples and prompts

[0769] Specifically, the user sends a question such as, "I haven't had much of an appetite lately. Do you have any recommended meals?" The system receives this, the emotion engine analyzes the user's emotional state, and the chat generation AI module generates a response such as, "Let's try ordering something rich in iron or a soup that's easy to digest." This response is sent to the device via the server and displayed in the chat window.

[0770] Example prompt sentence:

[0771] "Question: I haven't had much of an appetite lately. Is there any food you'd recommend? Emotions: Anxiety, fatigue."

[0772] In this way, older people are provided with specific and personalized support to lead healthier lives.

[0773] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0774] Step 1:

[0775] A user connects to the system using a terminal and enters a username and password on the login screen. The entered authentication information is sent from the terminal to the server. The server checks the database and, if authentication is successful, returns authorization information to the terminal. The terminal then displays a login success screen, allowing the user to access the system.

[0776] Step 2:

[0777] If authentication is successful, the server retrieves the user's profile information from the database and sends it to the device. The device displays this information and asks the user for confirmation. If the user updates their profile information, the device sends the updated information to the server, which records it as the latest information in the database. The database includes information such as health status and dietary history.

[0778] Step 3:

[0779] The user inputs a health-related question or concern into the chat window on the device. For example, the user might input a question like, "I've lost my appetite recently. Is there any food you'd recommend?" This input data is sent from the device to the server. The input data is received in order to promptly accept the user's health consultation.

[0780] Step 4:

[0781] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the user's emotional state from the question and provides the analysis results to the chat generation AI module. For example, emotions such as "anxiety" and "fatigue" are analyzed. Based on the analyzed emotional information, the chat generation AI module generates the optimal response for the user. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" might be given.

[0782] Step 5:

[0783] The generated response is sent to the device via the server. The device displays it in a chat window for the user to confirm. The user can then select from the suggested meal menu and place a food delivery order. Input is in the form of chat, and output is displayed as meal suggestions.

[0784] Step 6:

[0785] The user inputs feedback on the provided responses and meal suggestions from the device. For example, the user may enter feedback such as "The recommended meal was very good." This feedback data is sent from the device to the server, which records the feedback in a database. The recorded feedback is reflected in future support. Emotional information is also stored in the database along with the feedback.

[0786] In summary, users connect to the system via their devices and receive personalized meal suggestions based on their health status and emotions using an emotion engine and chat generation AI module. They can then order food delivery based on the suggested menu. Feedback also allows the system to provide better support.

[0787] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0788] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0789] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0790] [Third embodiment]

[0791] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0792] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0793] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0794] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0795] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0796] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0797] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0798] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0799] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0800] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0801] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0802] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0803] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0804] 1. User Connection and Authentication

[0805] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0806] Examples:

[0807] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[0808] 2. Check the initial settings

[0809] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0810] Examples:

[0811] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[0812] 3. Accepting user questions

[0813] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0814] Examples:

[0815] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[0816] 4. Information Processing and Response Generation

[0817] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0818] Examples:

[0819] The server passes the user's question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The server then sends this response to the device, which displays it on the screen.

[0820] 5. Responding to the User

[0821] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0822] Examples:

[0823] The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The user confirms this.

[0824] 6. Feedback and Tracking

[0825] Users can input feedback on responses on the terminal screen, which then sends the input feedback to the server, which records it in a database, allowing for future system improvements.

[0826] Examples:

[0827] The user inputs feedback such as "The advice was helpful. Thank you," and the device sends this to the server, which stores the feedback in a database.

[0828] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and each element works together to provide appropriate support to the user.

[0829] The processing flow will be explained below.

[0830] Step 1:

[0831] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[0832] Step 2:

[0833] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[0834] Step 3:

[0835] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[0836] Step 4:

[0837] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[0838] Step 5:

[0839] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[0840] Step 6:

[0841] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[0842] Step 7:

[0843] The server passes the received question to a chat generation AI module, which generates an appropriate response.

[0844] Step 8:

[0845] The server generates a response and sends it to the device, which displays it in the chat window.

[0846] Step 9:

[0847] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[0848] Step 10:

[0849] The user inputs feedback on the response, and the device sends the feedback to the server, which stores the feedback in a database.

[0850] The above is a specific processing flow of the present invention. At each step, the terminal, server, and user work together to provide appropriate health support.

[0851] Example 1

[0852] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0853] Daily health management and appropriate advice are essential for elderly people to live healthy lives, but it is difficult to continuously provide support tailored to each individual's health condition and lifestyle. In particular, it is a significant burden for elderly people to voluntarily collect health information and take appropriate actions based on that information. Therefore, the present invention aims to provide a system that automatically and continuously provides appropriate support based on each elderly person's health condition and lifestyle.

[0854] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0855] In this invention, the server includes a means for users to connect to the system via a terminal and perform authentication, a means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server, and a means for users to input questions or concerns from the terminal and for the server to receive and record the input data. This makes it possible to automatically and continuously provide appropriate support based on the health condition and lifestyle habits of each elderly person.

[0856] A "system" is a device, software, or combination thereof configured to provide assistance to older adults to lead healthy lives.

[0857] "User" means an individual who uses this system to manage or consult about their own health.

[0858] A "terminal" is an electronic device used by a user, such as a computer, smartphone, or tablet.

[0859] A "server" is a central system that receives and processes data sent from user terminals.

[0860] "Authentication" is a procedure for verifying that a user is a legitimate user when accessing a system.

[0861] "Profile information" is personal data about the user's health, lifestyle, etc.

[0862] "Database" means an information management system that allows the server to manage user profile information and other data.

[0863] "Questions and concerns" refer to health-related inquiries and worries that users enter through the system.

[0864] A "chat generation artificial intelligence module" is an AI-based software component used to generate appropriate responses to users' questions and concerns.

[0865] A "response" is an answer or advice to a user's questions or concerns, generated by the chat generation AI module.

[0866] "Feedback" refers to the opinions and evaluations that users give about the responses provided by the system.

[0867] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves cooperation between the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0868] User Authentication

[0869] The first step for a user to use the system is to connect to the system using a terminal and perform authentication. Specifically, the user launches an application on a terminal such as a smartphone or tablet and enters a username and password on the login screen. The terminal sends this authentication information to the server, which then compares it with a database for authentication. If authentication is successful, the server returns an approval message to the terminal and the user can access the next function of the system.

[0870] Verifying the Initial Configuration

[0871] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0872] Accepting user questions

[0873] The user enters a health-related question or concern into the chat window on the device. For example, "I've been feeling tired a lot lately. Do you have any advice?" The device then sends the entered question to the server.

[0874] Information processing and response generation

[0875] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The response is generated in text format and sent back to the device via the server.

[0876] Examples:

[0877] When a user types into the chat window, "I've been feeling tired a lot lately. Do you have any advice?", the server passes the question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods that are high in iron or consult your doctor."

[0878] Responding to the user

[0879] The terminal displays the response received from the server in the chat window, allowing the user to view it and take action as needed.

[0880] Feedback and Tracking

[0881] The user can then enter feedback about the response on the device screen. For example, they might type, "That advice was helpful. Thank you." The device then sends this feedback to the server, which records it in a database. This information can be used to improve the system in the future.

[0882] This system consists of a terminal, a server, a database, and a chat generation AI module. In particular, by using a generative AI model, it is possible to provide flexible and appropriate responses to the user's prompts. In this way, it is possible to automatically and continuously provide support for elderly people to live healthy lives.

[0883] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0884] Program processing flow

[0885] Step 1: User authentication

[0886] 1.1 Input: The user enters a username and password at a terminal.

[0887] 1.2 The terminal sends the entered authentication information to the server.

[0888] 1.3 The server checks the received authentication information against its database.

[0889] 1.4 Output: The server returns the authentication result to the terminal.

[0890] 1.5 Specific operation: The user launches the smartphone app and enters "taro123" and the password on the login screen. The device sends this to the server, which checks the database and returns the authentication result. The device then displays the home screen.

[0891] Step 2: Verify the initial configuration

[0892] 2.1 Input: The server receives a request after the user has been successfully authenticated.

[0893] 2.2 The server retrieves the user's profile information from the database.

[0894] 2.3 The device displays the received profile information on the screen and asks the user for confirmation.

[0895] 2.4 You will review and update your information as necessary.

[0896] 2.5 The device sends the updated information back to the server.

[0897] 2.6 Output: The server stores the latest profile information in the database.

[0898] 2.7 Specific operation: The server obtains the user's health information (e.g., "high blood pressure" or "walks three times a week") and sends it to the device. The user confirms and updates the information, and the device sends the updated information to the server, which stores it.

[0899] Step 3: Accepting user questions

[0900] 3.1 Input: The user inputs a question or concern into the chat window on the device.

[0901] 3.2 The terminal sends the entered question to the server.

[0902] 3.3 Output: The server records the questions it receives.

[0903] 3.4 Specific operation: The user types "I've been feeling tired a lot lately. Do you have any advice?" into the chat window, and the device sends this to the server. The server records the question.

[0904] Step 4: Information processing and response generation

[0905] 4.1 Input: The server passes the received question to the chat generation AI module.

[0906] 4.2 The artificial intelligence module generates responses based on the user's profile information and past consultation data.

[0907] 4.3 Output: The server sends the generated response to the terminal.

[0908] 4.4 Specific operation: The server passes the question "I've been feeling tired easily lately. Do you have any advice?" to the AI ​​module, and the AI ​​generates a response saying "It may be due to a lack of iron. Eat foods that are rich in iron or consult a doctor," which the server then sends to the terminal.

[0909] Step 5: Respond to the user

[0910] 5.1 Input: The server sends the generated response data to the terminal.

[0911] 5.2 The device displays the received response in the chat window.

[0912] 5.3 Output: The user sees the displayed response.

[0913] 5.4 Specific operation: The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." and the user confirms this.

[0914] Step 6: Feedback and tracking

[0915] 6.1 Input: The user inputs feedback on the device screen.

[0916] 6.2 The device sends the input feedback to the server.

[0917] 6.3 The server records the feedback in a database.

[0918] 6.4 Output: The feedback information is stored in a database.

[0919] 6.5 Specific operation: The user enters feedback such as "The advice was helpful. Thank you." The device sends this to the server, which then stores the feedback in a database.

[0920] The above is the specific operation and input / output flow performed at each processing step of this system.

[0921] (Application example 1)

[0922] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0923] To lead a healthy life, elderly people need appropriate health management and dietary suggestions. However, current technology lacks a system that effectively integrates users' health information and dietary suggestions to provide support tailored to their individual needs. It is also difficult for elderly people to easily input health-related questions and quickly receive appropriate advice and dietary suggestions. Therefore, there is a need for a comprehensive support system that helps elderly people manage their health on a daily basis.

[0924] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0925] In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; means for the server to pass the questions or concerns received by the server to a chat generation AI module and generate an appropriate response; means for the terminal to display the generated response to the user; means for the server to receive user feedback from the terminal and record the data; and means for generating optimal meal suggestions based on the elderly's health status and supporting ordering from a food delivery service. This allows elderly people to easily receive appropriate advice and meal suggestions based on their health information and dietary restrictions.

[0926] The "system for providing support for elderly people to live healthy lives" is a system designed to help elderly people collect and manage health-related information and provide appropriate advice and dietary suggestions.

[0927] A "terminal" is an electronic device that allows a user to access and operate the system, and includes smartphones, tablets, PCs, etc.

[0928] "Means for authentication" refers to a technology that executes a process to verify that a user is a legitimate user by entering a user name and password when logging into a system.

[0929] "Profile information" is data that includes individual information about a user, such as their health status, exercise habits, medication list, and dietary restrictions.

[0930] The "means for transmitting input or updated profile information to a server" is a technology for transmitting profile information input or updated by a user from a terminal to a server, and for the latest information to be reflected in the system.

[0931] "Means for inputting questions and concerns from a terminal and having the input data received and recorded by a server" refers to technology that executes a process in which a user inputs health-related questions and concerns from a terminal, and the server receives and stores the information.

[0932] The "chat generation artificial intelligence module" is an artificial intelligence system that generates appropriate advice and responses based on input questions and profile information.

[0933] The "means for transmitting the generated response to the terminal and for the terminal to display the response to the user" is a technology for executing a process in which the server transmits the generated response to the terminal and the terminal displays the response to the user.

[0934] The "means for receiving user feedback from a terminal and having the server record that data" is a technology for receiving feedback input by a user from a terminal and having the server record that information.

[0935] "Means for generating optimal meal suggestions based on health status and supporting ordering from food delivery services" refers to technology that generates optimal meal suggestions based on a user's health status and dietary restriction information, and supports ordering from food delivery services based on those suggestions.

[0936] A "database" is a digital storage device for managing and storing data such as user profile information and feedback.

[0937] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[0938] User Connection and Authentication

[0939] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[0940] Verifying the Initial Configuration

[0941] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[0942] Accepting user questions

[0943] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[0944] Information processing and response generation

[0945] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[0946] Responding to the user

[0947] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[0948] Health-based meal suggestions and food delivery support

[0949] The server generates optimal meal suggestions based on the user's health status, using data from the user's profile, such as health status, exercise habits, medication list, and dietary restrictions. The generated meal suggestions are provided to the user through an application that helps them order from a food delivery service.

[0950] Feedback and Tracking

[0951] Users can input their feedback on the responses and meal suggestions on the device screen, which then sends the input feedback to the server, which records it in a database and uses it to improve the system in the future.

[0952] Hardware and Software

[0953] Hardware: Devices include smartphones, tablets, and PCs. The device must be able to connect to the Internet.

[0954] Software: The server side includes database management systems (e.g., MySQL), authentication functions, and AI modules (e.g., ChatGPT).

[0955] Specific examples

[0956] Below is an example of how the system can be used.

[0957] Example of username and password

[0958] Username: taro123

[0959] password:

[0960] Health information update example

[0961] Health update: High blood pressure, walks three times a week

[0962] Example of question input

[0963] Question: I've been feeling tired a lot lately, do you have any advice?

[0964] Feedback input example

[0965] Feedback: Your advice was helpful. Thank you.

[0966] The system effectively manages users' health status and provides comprehensive support for elderly people to live a healthy lifestyle. By using a generative AI model and appropriate prompts, the system provides personalized advice and dietary suggestions to users.

[0967] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0968] Step 1:

[0969] The user starts the terminal application and enters their username and password on the login screen. The entered username and password are sent from the terminal to the server. The server compares the received authentication information with the database and performs authentication. If authentication is successful, the server returns approval information to the terminal and the home screen is displayed.

[0970] Input: Username (e.g. taro123), Password (e.g.)

[0971] Output: Authentication approval information (e.g., home screen display instruction)

[0972] Step 2:

[0973] The server retrieves the user's profile information from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends the new profile information to the server, which stores it in the database.

[0974] Input: User ID, current profile information

[0975] Output: Updated profile information

[0976] Step 3:

[0977] Users input health-related questions and concerns into a chat window on their device. The input questions and concerns are sent from the device to the server, which then records the received data in a database.

[0978] Input: Question or concern (e.g., "I've been feeling tired a lot lately. Do you have any advice?")

[0979] Output: Recorded questions and concerns

[0980] Step 4:

[0981] The server passes the received questions and concerns to a chat generation AI module, which generates the optimal response based on the user's profile information and past consultation data. The generated response is then sent back to the server.

[0982] Input: Questions and concerns, user profile information, past consultation data

[0983] Output: The generated response (e.g., "You may be suffering from an iron deficiency. Try eating foods high in iron or consult your doctor.")

[0984] Step 5:

[0985] The server sends the generated response to the terminal. The terminal displays the received response in a chat window and prompts the user to confirm it. The user confirms the displayed response.

[0986] Input: Generated response

[0987] Output: Displayed response

[0988] Step 6:

[0989] The server collects data for generating meal suggestions based on the user's health status, including the user's profile information and the latest data on the user's health status, and generates optimal meal suggestions based on the collected data to assist in ordering from a food delivery service.

[0990] Input: User profile information, latest health status data

[0991] Output: Optimal meal suggestions

[0992] Step 7:

[0993] The generated meal suggestions are sent to a terminal to assist the user in placing an order with a food delivery service. The terminal displays the suggested meal contents to the user and prompts the user to confirm the order. Once the user confirms the meal and confirms the order, the terminal sends the order information to the food delivery service.

[0994] Input: Optimal meal suggestions

[0995] Output: Food delivery order information

[0996] Step 8:

[0997] Users can input their feedback on the responses and meal suggestions into the device screen, which then sends the feedback to the server, which records the data in a database and uses it to improve the system in the future.

[0998] Input: Feedback (e.g. "That advice was helpful. Thank you.")

[0999] Output: Recorded feedback

[1000] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1001] The present invention combines an emotion engine with a system that provides the necessary support for elderly people to live healthy lives, and the elements of the terminal, server, user, and emotion engine work in coordination. The basic form for implementing this system is described in detail below.

[1002] 1. User Connection and Authentication

[1003] A user launches an application using a device. A login screen appears, prompting for a username and password. After the user enters the authentication information, the device sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the device, allowing the user to proceed to the next step.

[1004] Examples:

[1005] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[1006] 2. Check the initial settings

[1007] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[1008] Examples:

[1009] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[1010] 3. Accepting user questions

[1011] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[1012] Examples:

[1013] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[1014] 4. Information Processing and Response Generation

[1015] The server passes the received question to the chat generation AI module and emotion engine. The emotion engine analyzes the user's emotions from the text and provides this information to the chat generation AI module. The AI ​​module generates an appropriate response that takes the user's emotions into consideration. The generated response is then sent back to the terminal via the server.

[1016] Examples:

[1017] The server passes the user's question to the AI ​​module and emotion engine, and if the emotion engine detects the user's anxiety, it generates a response such as, "It may be due to an iron deficiency. First, relax and get some rest. If that doesn't improve, consult a doctor." The server sends this response to the device, which displays it on the screen.

[1018] 5. Responding to the User

[1019] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[1020] Examples:

[1021] The device screen displays the message, "This may be due to a lack of iron. First, relax and get some rest. If this does not improve, consult a doctor." The user confirms this.

[1022] 6. Feedback and Tracking

[1023] Users can input feedback on responses on the device screen. The device sends the input feedback to the server, which records it in a database. In addition, the emotion engine adds and saves the user's emotion information to their profile information, allowing it to provide more appropriate advice based on their past emotion history during future consultations.

[1024] Examples:

[1025] The user enters feedback such as "The advice was helpful. Thank you," and the device sends this to the server. The server stores the feedback and the user's emotional information analyzed by the emotion engine in a database. The next time the user seeks advice again, a more appropriate response will be provided based on the user's past emotional history.

[1026] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion engine, it is possible to provide more personalized support that responds to the user's emotions.

[1027] The processing flow will be explained below.

[1028] Step 1:

[1029] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[1030] Step 2:

[1031] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[1032] Step 3:

[1033] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[1034] Step 4:

[1035] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[1036] Step 5:

[1037] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[1038] Step 6:

[1039] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[1040] Step 7:

[1041] The server passes the received question to the chat generation AI module and emotion engine, which analyzes the user's emotions from the text.

[1042] Step 8:

[1043] The emotion engine provides the analysis results to the chat generation AI module, which then generates an appropriate response that takes the user's emotions into account.

[1044] Step 9:

[1045] The server generates a response and sends it to the device, which displays it in the chat window.

[1046] Step 10:

[1047] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[1048] Step 11:

[1049] The user inputs feedback on the response, and the device sends the feedback to the server, which then stores the user's emotional information analyzed by the emotion engine in a database along with the feedback.

[1050] Step 12:

[1051] The server uses the stored emotional information as data to generate a more appropriate response the next time the customer consults.

[1052] The above is a specific processing flow of the present invention. At each step, the terminal, server, user, and emotion engine work together to provide appropriate health support according to the user's emotions.

[1053] Example 2

[1054] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1055] In order for elderly people to live healthy lives, they need health monitoring and advice, but conventional systems have had difficulty providing personalized support. In addition, there is a lack of technology to generate appropriate responses that take emotions into account, making it difficult to provide the specific support that users need.

[1056] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1057] In this invention, the server includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input a question or concern from the terminal and for the server to receive and record the input data; means for passing the question or concern received by the server to a natural language processing device and an emotion analysis device and generating an appropriate response; means for transmitting the generated response to the terminal and for the terminal to display the response to the user; means for receiving user feedback from the terminal and for the server to record the data; and means for the emotion analysis device to analyze emotions from the user's text and store the analysis results for use in generating future responses. This makes it possible to provide more personalized support that takes into account the user's individual health condition and emotions.

[1058] "Elderly" refers to people who are older and who require particular healthcare and lifestyle support.

[1059] "Healthy living" refers to lifestyle habits that maintain physical and mental health, including appropriate exercise, a balanced diet, and stress management.

[1060] "Support" refers to the help or support provided to achieve a specific goal or objective.

[1061] A "system" refers to a configuration of multiple interrelated elements or devices combined to perform a specific function.

[1062] "Terminal" refers to an electronic device that allows a user to access and operate the system. Specifically, this includes smartphones and personal computers.

[1063] "Connection" refers to the state in which a terminal communicates with a system and exchanges information.

[1064] "Authentication" refers to the procedures and processes used to verify that a user is a legitimate user.

[1065] "Profile information" refers to personal information such as the user's health status and lifestyle habits.

[1066] A "server" refers to a high-performance computer connected to a network that processes and stores data.

[1067] "Updating" refers to the process of replacing existing information with new information.

[1068] "Natural language processing" refers to computer software that understands and processes human language.

[1069] An "emotion analysis device" refers to a program or device that infers and analyzes emotions from text or voice.

[1070] "Response" refers to a reply or response to a question or request.

[1071] "Feedback" refers to evaluations or opinions about behavior or performance.

[1072] A "database" refers to a management system that stores large amounts of data and allows for efficient searching and manipulation.

[1073] "Monitoring" refers to the process of continuously observing and watching over a particular condition or situation.

[1074] The present invention is a system that provides necessary support for elderly people to live healthy lives, and each element of the system, including a user, a terminal, a server, a natural language processing device, and an emotion analysis device, operates in cooperation with each other. Detailed embodiments of the present invention will be described below.

[1075] User Connection and Authentication

[1076] A user launches an application using a device such as a smartphone or PC. A login screen appears, prompting them to enter their username and password. After the user enters their authentication information, the device encrypts it with SSL and sends it to the server. The server compares it with the received information using a MySQL database, and if authentication is successful, returns an approval response to the device. This allows the user to access the home screen.

[1077] Verifying the Initial Configuration

[1078] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays this on the screen and asks the user for confirmation. If the user updates the profile information, the device sends this information to the server again. The server stores the updated information in a MySQL database. For example, the user can enter or update their health information, such as "walks three times a week" or "high blood pressure."

[1079] Accepting user questions

[1080] The user uses the chat window on the device to input questions or concerns about their health. For example, the user might type, "I've been feeling tired a lot lately. Do you have any advice?" This input data is sent from the device to the server.

[1081] Information processing and response generation

[1082] The server passes the received question to a natural language processor (e.g., a BERT-based generative AI model) and a sentiment analyzer. The sentiment analyzer analyzes emotions from the user's text and provides the analysis results to the natural language processor. The natural language processor generates an appropriate response that takes the user's emotions into consideration. For example, if the sentiment analyzer detects the user's anxiety, it will generate a response such as, "It may be due to an iron deficiency, but please relax and rest first. If this does not improve, please consult a doctor." The server then sends the generated response to the terminal.

[1083] Responding to the user

[1084] The device displays the received response in a chat window, allowing the user to review the displayed response and follow the instructions.

[1085] Feedback and Tracking

[1086] The user can enter feedback on the system's response on the device screen. For example, they can enter "The advice was helpful. Thank you." The device then sends this feedback to the server. The server records the feedback and the emotional information analyzed by the emotion analyzer in a database, and provides more appropriate responses based on the user's past emotional history during future consultations.

[1087] As described above, this invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion analysis device, it is possible to provide personalized support that corresponds to the user's emotions.

[1088] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1089] Step 1:

[1090] The user launches the application on the device and the login screen appears. The user enters their username and password, which the device sends to the server. The server receives the input data and checks it against a database. If authentication is successful, it returns an approval response to the device. The device then displays the home screen.

[1091] Input: Username, Password

[1092] Data processing: Entered authentication information is SSL encrypted

[1093] Output: Authentication result (success / failure), home screen display

[1094] Step 2:

[1095] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information, the device sends the updated information to the server, which stores it in the database.

[1096] Input: User ID

[1097] Data processing: Retrieving, displaying, and updating profile information

[1098] Output: Display profile information on screen, save updated information

[1099] Step 3:

[1100] The user enters health-related questions and concerns into a chat window on the device, and the device sends this data to the server.

[1101] Input: User question

[1102] Data processing: Receiving and sending questions

[1103] Output: Record of received data

[1104] Step 4:

[1105] The server passes the received question to a natural language processing device and a sentiment analysis device. The sentiment analysis device analyzes emotions from the text and provides the analysis results to the natural language processing device. The natural language processing device generates a response that takes emotions into account, and the server sends this to the terminal.

[1106] Input: Question text

[1107] Data processing: sentiment analysis, response generation

[1108] Output: Chat response text

[1109] Step 5:

[1110] The terminal displays the response received from the server in the chat window, and the user can check it.

[1111] Input: Chat response text

[1112] Data manipulation: Displaying chat responses

[1113] Output: Response displayed on screen

[1114] Step 6:

[1115] The user enters feedback on the system's responses on the device screen, which then sends it to the server, which stores the feedback and the results of sentiment analysis in a database and uses them to generate future responses.

[1116] Input: User feedback text

[1117] Data processing: feedback and sentiment analysis results storage

[1118] Output: Save to database

[1119] (Application example 2)

[1120] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1121] In modern society, there are a wide variety of support systems for elderly people to maintain a healthy lifestyle, but few systems provide personalized advice that takes into account the user's emotional state. Furthermore, there is a particular need for appropriate suggestions regarding diet, which is closely related to health. Therefore, the challenge is to go beyond simply providing health information and provide effective support tailored to individual needs.

[1122] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: a means for a user to connect to the system via a terminal and perform authentication; a means for the terminal to display the user's profile information and send the entered or updated profile information to the server; a means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; a means for the server to pass the questions or concerns received by the server to a chat generation AI module and an emotion engine and generate an appropriate response; a means for the terminal to send the generated response to the user, and for the terminal to display the response to the user; a means for the server to receive user feedback from the terminal and record the data; a means for analyzing the user's emotional state using the emotion engine and generating a response based on the analysis; and a means for including food delivery suggestions as a response. This enables personalized health support and appropriate meal suggestions that take the user's emotional state into consideration.

[1123] "User" refers to individuals, primarily elderly people, who use the system.

[1124] A "terminal" is a device used by a user to access the system, and includes a smartphone, tablet, PC, etc.

[1125] "Server" refers to the computer system containing various modules that receive and record user profile information, questions, and feedback, and generate appropriate responses.

[1126] "Profile information" refers to information including a user's health status, exercise habits, medication list, dietary history, etc.

[1127] "Emotion engine" refers to a module that analyzes the user's emotional state from input data.

[1128] "Chat generation artificial intelligence module" refers to artificial intelligence technology that analyzes users' questions and concerns and generates appropriate responses.

[1129] "Food delivery" refers to a service that delivers meals selected by the user.

[1130] "Question" refers to a health-related inquiry or concern that a user enters through the system.

[1131] "Feedback" refers to opinions and impressions that a user inputs regarding a response or service provided.

[1132] "Response" refers to the answer or suggestion generated by the system in response to a user's question or concern.

[1133] "Database" refers to a system for managing and storing data such as profile information, feedback, and emotional state.

[1134] This invention realizes a support system for elderly people to live healthy lives. Users connect to the system via a terminal and are provided with personalized advice and food delivery suggestions using an emotion engine. This system requires a terminal, a server, an emotion engine, and a chat generation AI module.

[1135] 1. User Connection and Authentication

[1136] Users access the system via a device such as a smartphone and enter their authentication information on the login screen. This connects the device to the server and authenticates the user. For example, when a user enters a username and password, the device sends this to the server, and the authentication information is compared with the database.

[1137] 2. Check the initial settings

[1138] After authentication, the server retrieves the user's profile information from the database and sends it to the device. The device displays the information, and the user can review and update it as needed. For example, the user can update their health status or diet history and then send the information back to the server.

[1139] 3. Accepting user questions

[1140] When a user types a health-related question or concern into the chat window on their device, the device sends it to the server. For example, it sends a question like, "I've lost my appetite recently. Do you have any recommended meals?"

[1141] 4. Information Processing and Response Generation

[1142] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the emotion from the user's input and provides this information to the chat generation AI module. This generates an appropriate response that takes the user's emotion into consideration. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" may be generated.

[1143] 5. Responding to the User

[1144] The generated response is sent to the terminal via the server and displayed in the terminal's chat window, where the user can review it and take appropriate action, such as reviewing the suggested menu and placing an order.

[1145] 6. Feedback and Tracking

[1146] Users can enter feedback on the responses and services provided. The feedback is sent from the device to the server and recorded in a database. This allows future support to be more personalized. For example, you can send feedback such as, "The recommended meal was very good."

[1147] Hardware and Software Description

[1148] The following hardware and software are required to implement this system:

[1149] Hardware: Smartphones, servers

[1150] Software: Emotion engine, chat generation AI module, database management system

[1151] Data processing and calculation are performed as follows: First, the server receives the user's input data. Next, the emotion engine analyzes the data and extracts emotional information. This information is provided to the chat generation AI module, which generates an optimal response based on the user's emotional state. The generated response is returned to the server and transmitted to the device.

[1152] Examples of concrete examples and prompts

[1153] Specifically, the user sends a question such as, "I haven't had much of an appetite lately. Do you have any recommended meals?" The system receives this, the emotion engine analyzes the user's emotional state, and the chat generation AI module generates a response such as, "Let's try ordering something rich in iron or a soup that's easy to digest." This response is sent to the device via the server and displayed in the chat window.

[1154] Example prompt sentence:

[1155] "Question: I haven't had much of an appetite lately. Is there any food you'd recommend? Emotions: Anxiety, fatigue."

[1156] In this way, older people are provided with specific and personalized support to lead healthier lives.

[1157] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1158] Step 1:

[1159] A user connects to the system using a terminal and enters a username and password on the login screen. The entered authentication information is sent from the terminal to the server. The server checks the database and, if authentication is successful, returns authorization information to the terminal. The terminal then displays a login success screen, allowing the user to access the system.

[1160] Step 2:

[1161] If authentication is successful, the server retrieves the user's profile information from the database and sends it to the device. The device displays this information and asks the user for confirmation. If the user updates their profile information, the device sends the updated information to the server, which records it as the latest information in the database. The database includes information such as health status and dietary history.

[1162] Step 3:

[1163] The user inputs a health-related question or concern into the chat window on the device. For example, the user might input a question like, "I've lost my appetite recently. Is there any food you'd recommend?" This input data is sent from the device to the server. The input data is received in order to promptly accept the user's health consultation.

[1164] Step 4:

[1165] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the user's emotional state from the question and provides the analysis results to the chat generation AI module. For example, emotions such as "anxiety" and "fatigue" are analyzed. Based on the analyzed emotional information, the chat generation AI module generates the optimal response for the user. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" might be given.

[1166] Step 5:

[1167] The generated response is sent to the device via the server. The device displays it in a chat window for the user to confirm. The user can then select from the suggested meal menu and place a food delivery order. Input is in the form of chat, and output is displayed as meal suggestions.

[1168] Step 6:

[1169] The user inputs feedback on the provided responses and meal suggestions from the device. For example, the user may enter feedback such as "The recommended meal was very good." This feedback data is sent from the device to the server, which records the feedback in a database. The recorded feedback is reflected in future support. Emotional information is also stored in the database along with the feedback.

[1170] In summary, users connect to the system via their devices and receive personalized meal suggestions based on their health status and emotions using an emotion engine and chat generation AI module. They can then order food delivery based on the suggested menu. Feedback also allows the system to provide better support.

[1171] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1172] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1173] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1174] [Fourth embodiment]

[1175] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1176] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1177] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1178] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1179] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1180] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1181] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1182] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1183] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1184] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1185] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1186] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1187] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1188] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[1189] 1. User Connection and Authentication

[1190] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[1191] Examples:

[1192] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[1193] 2. Check the initial settings

[1194] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[1195] Examples:

[1196] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[1197] 3. Accepting user questions

[1198] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[1199] Examples:

[1200] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[1201] 4. Information Processing and Response Generation

[1202] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[1203] Examples:

[1204] The server passes the user's question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The server then sends this response to the device, which displays it on the screen.

[1205] 5. Responding to the User

[1206] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[1207] Examples:

[1208] The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." The user confirms this.

[1209] 6. Feedback and Tracking

[1210] Users can input feedback on responses on the terminal screen, which then sends the input feedback to the server, which records it in a database, allowing for future system improvements.

[1211] Examples:

[1212] The user inputs feedback such as "The advice was helpful. Thank you," and the device sends this to the server, which stores the feedback in a database.

[1213] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and each element works together to provide appropriate support to the user.

[1214] The processing flow will be explained below.

[1215] Step 1:

[1216] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[1217] Step 2:

[1218] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[1219] Step 3:

[1220] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[1221] Step 4:

[1222] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[1223] Step 5:

[1224] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[1225] Step 6:

[1226] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[1227] Step 7:

[1228] The server passes the received question to a chat generation AI module, which generates an appropriate response.

[1229] Step 8:

[1230] The server generates a response and sends it to the device, which displays it in the chat window.

[1231] Step 9:

[1232] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[1233] Step 10:

[1234] The user inputs feedback on the response, and the device sends the feedback to the server, which stores the feedback in a database.

[1235] The above is a specific processing flow of the present invention. At each step, the terminal, server, and user work together to provide appropriate health support.

[1236] Example 1

[1237] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1238] Daily health management and appropriate advice are essential for elderly people to live healthy lives, but it is difficult to continuously provide support tailored to each individual's health condition and lifestyle. In particular, it is a significant burden for elderly people to voluntarily collect health information and take appropriate actions based on that information. Therefore, the present invention aims to provide a system that automatically and continuously provides appropriate support based on each elderly person's health condition and lifestyle.

[1239] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1240] In this invention, the server includes a means for users to connect to the system via a terminal and perform authentication, a means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server, and a means for users to input questions or concerns from the terminal and for the server to receive and record the input data. This makes it possible to automatically and continuously provide appropriate support based on the health condition and lifestyle habits of each elderly person.

[1241] A "system" is a device, software, or combination thereof configured to provide assistance to older adults to lead healthy lives.

[1242] "User" means an individual who uses this system to manage or consult about their own health.

[1243] A "terminal" is an electronic device used by a user, such as a computer, smartphone, or tablet.

[1244] A "server" is a central system that receives and processes data sent from user terminals.

[1245] "Authentication" is a procedure for verifying that a user is a legitimate user when accessing a system.

[1246] "Profile information" is personal data about the user's health, lifestyle, etc.

[1247] "Database" means an information management system that allows the server to manage user profile information and other data.

[1248] "Questions and concerns" refer to health-related inquiries and worries that users enter through the system.

[1249] A "chat generation artificial intelligence module" is an AI-based software component used to generate appropriate responses to users' questions and concerns.

[1250] A "response" is an answer or advice to a user's questions or concerns, generated by the chat generation AI module.

[1251] "Feedback" refers to the opinions and evaluations that users give about the responses provided by the system.

[1252] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves cooperation between the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[1253] User Authentication

[1254] The first step for a user to use the system is to connect to the system using a terminal and perform authentication. Specifically, the user launches an application on a terminal such as a smartphone or tablet and enters a username and password on the login screen. The terminal sends this authentication information to the server, which then compares it with a database for authentication. If authentication is successful, the server returns an approval message to the terminal and the user can access the next function of the system.

[1255] Verifying the Initial Configuration

[1256] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[1257] Accepting user questions

[1258] The user enters a health-related question or concern into the chat window on the device. For example, "I've been feeling tired a lot lately. Do you have any advice?" The device then sends the entered question to the server.

[1259] Information processing and response generation

[1260] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The response is generated in text format and sent back to the device via the server.

[1261] Examples:

[1262] When a user types into the chat window, "I've been feeling tired a lot lately. Do you have any advice?", the server passes the question to the AI ​​module, which generates a response such as, "It may be due to a lack of iron. Eat foods that are high in iron or consult your doctor."

[1263] Responding to the user

[1264] The terminal displays the response received from the server in the chat window, allowing the user to view it and take action as needed.

[1265] Feedback and Tracking

[1266] The user can then enter feedback about the response on the device screen. For example, they might type, "That advice was helpful. Thank you." The device then sends this feedback to the server, which records it in a database. This information can be used to improve the system in the future.

[1267] This system consists of a terminal, a server, a database, and a chat generation AI module. In particular, by using a generative AI model, it is possible to provide flexible and appropriate responses to the user's prompts. In this way, it is possible to automatically and continuously provide support for elderly people to live healthy lives.

[1268] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1269] Program processing flow

[1270] Step 1: User authentication

[1271] 1.1 Input: The user enters a username and password at a terminal.

[1272] 1.2 The terminal sends the entered authentication information to the server.

[1273] 1.3 The server checks the received authentication information against its database.

[1274] 1.4 Output: The server returns the authentication result to the terminal.

[1275] 1.5 Specific operation: The user launches the smartphone app and enters "taro123" and the password on the login screen. The device sends this to the server, which checks the database and returns the authentication result. The device then displays the home screen.

[1276] Step 2: Verify the initial configuration

[1277] 2.1 Input: The server receives a request after the user has been successfully authenticated.

[1278] 2.2 The server retrieves the user's profile information from the database.

[1279] 2.3 The device displays the received profile information on the screen and asks the user for confirmation.

[1280] 2.4 You will review and update your information as necessary.

[1281] 2.5 The device sends the updated information back to the server.

[1282] 2.6 Output: The server stores the latest profile information in the database.

[1283] 2.7 Specific operation: The server obtains the user's health information (e.g., "high blood pressure" or "walks three times a week") and sends it to the device. The user confirms and updates the information, and the device sends the updated information to the server, which stores it.

[1284] Step 3: Accepting user questions

[1285] 3.1 Input: The user inputs a question or concern into the chat window on the device.

[1286] 3.2 The terminal sends the entered question to the server.

[1287] 3.3 Output: The server records the questions it receives.

[1288] 3.4 Specific operation: The user types "I've been feeling tired a lot lately. Do you have any advice?" into the chat window, and the device sends this to the server. The server records the question.

[1289] Step 4: Information processing and response generation

[1290] 4.1 Input: The server passes the received question to the chat generation AI module.

[1291] 4.2 The artificial intelligence module generates responses based on the user's profile information and past consultation data.

[1292] 4.3 Output: The server sends the generated response to the terminal.

[1293] 4.4 Specific operation: The server passes the question "I've been feeling tired easily lately. Do you have any advice?" to the AI ​​module, and the AI ​​generates a response saying "It may be due to a lack of iron. Eat foods that are rich in iron or consult a doctor," which the server then sends to the terminal.

[1294] Step 5: Respond to the user

[1295] 5.1 Input: The server sends the generated response data to the terminal.

[1296] 5.2 The device displays the received response in the chat window.

[1297] 5.3 Output: The user sees the displayed response.

[1298] 5.4 Specific operation: The device screen displays the message, "This may be due to a lack of iron. Eat foods rich in iron or consult a doctor." and the user confirms this.

[1299] Step 6: Feedback and tracking

[1300] 6.1 Input: The user inputs feedback on the device screen.

[1301] 6.2 The device sends the input feedback to the server.

[1302] 6.3 The server records the feedback in a database.

[1303] 6.4 Output: The feedback information is stored in a database.

[1304] 6.5 Specific operation: The user enters feedback such as "The advice was helpful. Thank you." The device sends this to the server, which then stores the feedback in a database.

[1305] The above is the specific operation and input / output flow performed at each processing step of this system.

[1306] (Application example 1)

[1307] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1308] To lead a healthy life, elderly people need appropriate health management and dietary suggestions. However, current technology lacks a system that effectively integrates users' health information and dietary suggestions to provide support tailored to their individual needs. It is also difficult for elderly people to easily input health-related questions and quickly receive appropriate advice and dietary suggestions. Therefore, there is a need for a comprehensive support system that helps elderly people manage their health on a daily basis.

[1309] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1310] In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; means for the server to pass the questions or concerns received by the server to a chat generation AI module and generate an appropriate response; means for the terminal to display the generated response to the user; means for the server to receive user feedback from the terminal and record the data; and means for generating optimal meal suggestions based on the elderly's health status and supporting ordering from a food delivery service. This allows elderly people to easily receive appropriate advice and meal suggestions based on their health information and dietary restrictions.

[1311] The "system for providing support for elderly people to live healthy lives" is a system designed to help elderly people collect and manage health-related information and provide appropriate advice and dietary suggestions.

[1312] A "terminal" is an electronic device that allows a user to access and operate the system, and includes smartphones, tablets, PCs, etc.

[1313] "Means for authentication" refers to a technology that executes a process to verify that a user is a legitimate user by entering a user name and password when logging into a system.

[1314] "Profile information" is data that includes individual information about a user, such as their health status, exercise habits, medication list, and dietary restrictions.

[1315] The "means for transmitting input or updated profile information to a server" is a technology for transmitting profile information input or updated by a user from a terminal to a server, and for the latest information to be reflected in the system.

[1316] "Means for inputting questions and concerns from a terminal and having the input data received and recorded by a server" refers to technology that executes a process in which a user inputs health-related questions and concerns from a terminal, and the server receives and stores the information.

[1317] The "chat generation artificial intelligence module" is an artificial intelligence system that generates appropriate advice and responses based on input questions and profile information.

[1318] The "means for transmitting the generated response to the terminal and for the terminal to display the response to the user" is a technology for executing a process in which the server transmits the generated response to the terminal and the terminal displays the response to the user.

[1319] The "means for receiving user feedback from a terminal and having the server record that data" is a technology for receiving feedback input by a user from a terminal and having the server record that information.

[1320] "Means for generating optimal meal suggestions based on health status and supporting ordering from food delivery services" refers to technology that generates optimal meal suggestions based on a user's health status and dietary restriction information, and supports ordering from food delivery services based on those suggestions.

[1321] A "database" is a digital storage device for managing and storing data such as user profile information and feedback.

[1322] The present invention is a system that provides the elderly with the support they need to live a healthy life, and involves the cooperation of the terminal, server, and user elements. The basic form for implementing this system is described in detail below.

[1323] User Connection and Authentication

[1324] When a user connects to the system using a terminal, they first launch an application. The terminal displays a login screen and prompts the user to enter a username and password. After the user enters the authentication information, the terminal sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the terminal, allowing the user to proceed to the next step.

[1325] Verifying the Initial Configuration

[1326] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[1327] Accepting user questions

[1328] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[1329] Information processing and response generation

[1330] The server passes the received question to a chat generation AI module, which generates an appropriate response based on the user's profile information and past consultation data. The generated response is then sent back to the device via the server.

[1331] Responding to the user

[1332] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[1333] Health-based meal suggestions and food delivery support

[1334] The server generates optimal meal suggestions based on the user's health status, using data from the user's profile, such as health status, exercise habits, medication list, and dietary restrictions. The generated meal suggestions are provided to the user through an application that helps them order from a food delivery service.

[1335] Feedback and Tracking

[1336] Users can input their feedback on the responses and meal suggestions on the device screen, which then sends the input feedback to the server, which records it in a database and uses it to improve the system in the future.

[1337] Hardware and Software

[1338] Hardware: Devices include smartphones, tablets, and PCs. The device must be able to connect to the Internet.

[1339] Software: The server side includes database management systems (e.g., MySQL), authentication functions, and AI modules (e.g., ChatGPT).

[1340] Specific examples

[1341] Below is an example of how the system can be used.

[1342] Example of username and password

[1343] Username: taro123

[1344] password:

[1345] Health information update example

[1346] Health update: High blood pressure, walks three times a week

[1347] Example of question input

[1348] Question: I've been feeling tired a lot lately, do you have any advice?

[1349] Feedback input example

[1350] Feedback: Your advice was helpful. Thank you.

[1351] The system effectively manages users' health status and provides comprehensive support for elderly people to live a healthy lifestyle. By using a generative AI model and appropriate prompts, the system provides personalized advice and dietary suggestions to users.

[1352] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1353] Step 1:

[1354] The user starts the terminal application and enters their username and password on the login screen. The entered username and password are sent from the terminal to the server. The server compares the received authentication information with the database and performs authentication. If authentication is successful, the server returns approval information to the terminal and the home screen is displayed.

[1355] Input: Username (e.g. taro123), Password (e.g.)

[1356] Output: Authentication approval information (e.g., home screen display instruction)

[1357] Step 2:

[1358] The server retrieves the user's profile information from the database and sends it to the device. The device displays the received profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends the new profile information to the server, which stores it in the database.

[1359] Input: User ID, current profile information

[1360] Output: Updated profile information

[1361] Step 3:

[1362] Users input health-related questions and concerns into a chat window on their device. The input questions and concerns are sent from the device to the server, which then records the received data in a database.

[1363] Input: Question or concern (e.g., "I've been feeling tired a lot lately. Do you have any advice?")

[1364] Output: Recorded questions and concerns

[1365] Step 4:

[1366] The server passes the received questions and concerns to a chat generation AI module, which generates the optimal response based on the user's profile information and past consultation data. The generated response is then sent back to the server.

[1367] Input: Questions and concerns, user profile information, past consultation data

[1368] Output: The generated response (e.g., "You may be suffering from an iron deficiency. Try eating foods high in iron or consult your doctor.")

[1369] Step 5:

[1370] The server sends the generated response to the terminal. The terminal displays the received response in a chat window and prompts the user to confirm it. The user confirms the displayed response.

[1371] Input: Generated response

[1372] Output: Displayed response

[1373] Step 6:

[1374] The server collects data for generating meal suggestions based on the user's health status, including the user's profile information and the latest data on the user's health status, and generates optimal meal suggestions based on the collected data to assist in ordering from a food delivery service.

[1375] Input: User profile information, latest health status data

[1376] Output: Optimal meal suggestions

[1377] Step 7:

[1378] The generated meal suggestions are sent to a terminal to assist the user in placing an order with a food delivery service. The terminal displays the suggested meal contents to the user and prompts the user to confirm the order. Once the user confirms the meal and confirms the order, the terminal sends the order information to the food delivery service.

[1379] Input: Optimal meal suggestions

[1380] Output: Food delivery order information

[1381] Step 8:

[1382] Users can input their feedback on the responses and meal suggestions into the device screen, which then sends the feedback to the server, which records the data in a database and uses it to improve the system in the future.

[1383] Input: Feedback (e.g. "That advice was helpful. Thank you.")

[1384] Output: Recorded feedback

[1385] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1386] The present invention combines an emotion engine with a system that provides the necessary support for elderly people to live healthy lives, and the elements of the terminal, server, user, and emotion engine work in coordination. The basic form for implementing this system is described in detail below.

[1387] 1. User Connection and Authentication

[1388] A user launches an application using a device. A login screen appears, prompting for a username and password. After the user enters the authentication information, the device sends it to the server. The server compares the received information with a database and authenticates the user. If authentication is successful, the server returns approval to the device, allowing the user to proceed to the next step.

[1389] Examples:

[1390] The user opens the app on their smartphone and enters the username "taro123" and password on the login screen. The device sends this to the server, and if the server successfully authenticates, the home screen is displayed.

[1391] 2. Check the initial settings

[1392] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information as needed, the device sends it back to the server, and the server saves the latest profile information in the database.

[1393] Examples:

[1394] The user accesses a screen for checking their health status and enters or updates their health information, such as "high blood pressure" or "walking three times a week." The device then sends the new information to the server, which records it.

[1395] 3. Accepting user questions

[1396] Users enter their health-related questions or concerns into a chat window on their device. The device then sends the input data to the server, which receives the data and prepares to resolve the issue.

[1397] Examples:

[1398] The user types in the chat window, "I've been feeling tired lately. Do you have any advice?" The device sends this to the server.

[1399] 4. Information Processing and Response Generation

[1400] The server passes the received question to the chat generation AI module and emotion engine. The emotion engine analyzes the user's emotions from the text and provides this information to the chat generation AI module. The AI ​​module generates an appropriate response that takes the user's emotions into consideration. The generated response is then sent back to the terminal via the server.

[1401] Examples:

[1402] The server passes the user's question to the AI ​​module and emotion engine, and if the emotion engine detects the user's anxiety, it generates a response such as, "It may be due to an iron deficiency. First, relax and get some rest. If that doesn't improve, consult a doctor." The server sends this response to the device, which displays it on the screen.

[1403] 5. Responding to the User

[1404] The terminal displays the response received from the server in the chat window, allowing the user to view and take action.

[1405] Examples:

[1406] The device screen displays the message, "This may be due to a lack of iron. First, relax and get some rest. If this does not improve, consult a doctor." The user confirms this.

[1407] 6. Feedback and Tracking

[1408] Users can input feedback on responses on the device screen. The device sends the input feedback to the server, which records it in a database. In addition, the emotion engine adds and saves the user's emotion information to their profile information, allowing it to provide more appropriate advice based on their past emotion history during future consultations.

[1409] Examples:

[1410] The user enters feedback such as "The advice was helpful. Thank you," and the device sends this to the server. The server stores the feedback and the user's emotional information analyzed by the emotion engine in a database. The next time the user seeks advice again, a more appropriate response will be provided based on the user's past emotional history.

[1411] As described above, the system of the present invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion engine, it is possible to provide more personalized support that responds to the user's emotions.

[1412] The processing flow will be explained below.

[1413] Step 1:

[1414] The user launches the application using a terminal and is presented with a login screen prompting for a username and password.

[1415] Step 2:

[1416] The terminal sends the authentication information entered by the user to the server, which receives this information and checks it against a database.

[1417] Step 3:

[1418] The server sends the authentication result to the device. If the authentication is successful, the device displays the home screen or the initial settings screen.

[1419] Step 4:

[1420] The server retrieves the user's profile information from the database and sends it to the device, which then displays the profile information on the screen.

[1421] Step 5:

[1422] The user reviews their profile information and updates it as needed. The device sends the updated information to the server. The server saves the new information in its database.

[1423] Step 6:

[1424] The user inputs questions or concerns into the chat window on the device, and the device sends the input questions to the server.

[1425] Step 7:

[1426] The server passes the received question to the chat generation AI module and emotion engine, which analyzes the user's emotions from the text.

[1427] Step 8:

[1428] The emotion engine provides the analysis results to the chat generation AI module, which then generates an appropriate response that takes the user's emotions into account.

[1429] Step 9:

[1430] The server generates a response and sends it to the device, which displays it in the chat window.

[1431] Step 10:

[1432] The user reviews the displayed response and, if desired, enters a follow-up question or feedback.

[1433] Step 11:

[1434] The user inputs feedback on the response, and the device sends the feedback to the server, which then stores the user's emotional information analyzed by the emotion engine in a database along with the feedback.

[1435] Step 12:

[1436] The server uses the stored emotional information as data to generate a more appropriate response the next time the customer consults.

[1437] The above is a specific processing flow of the present invention. At each step, the terminal, server, user, and emotion engine work together to provide appropriate health support according to the user's emotions.

[1438] Example 2

[1439] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1440] In order for elderly people to live healthy lives, they need health monitoring and advice, but conventional systems have had difficulty providing personalized support. In addition, there is a lack of technology to generate appropriate responses that take emotions into account, making it difficult to provide the specific support that users need.

[1441] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1442] In this invention, the server includes: means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; means for the user to input a question or concern from the terminal and for the server to receive and record the input data; means for passing the question or concern received by the server to a natural language processing device and an emotion analysis device and generating an appropriate response; means for transmitting the generated response to the terminal and for the terminal to display the response to the user; means for receiving user feedback from the terminal and for the server to record the data; and means for the emotion analysis device to analyze emotions from the user's text and store the analysis results for use in generating future responses. This makes it possible to provide more personalized support that takes into account the user's individual health condition and emotions.

[1443] "Elderly" refers to people who are older and who require particular healthcare and lifestyle support.

[1444] "Healthy living" refers to lifestyle habits that maintain physical and mental health, including appropriate exercise, a balanced diet, and stress management.

[1445] "Support" refers to the help or support provided to achieve a specific goal or objective.

[1446] A "system" refers to a configuration of multiple interrelated elements or devices combined to perform a specific function.

[1447] "Terminal" refers to an electronic device that allows a user to access and operate the system. Specifically, this includes smartphones and personal computers.

[1448] "Connection" refers to the state in which a terminal communicates with a system and exchanges information.

[1449] "Authentication" refers to the procedures and processes used to verify that a user is a legitimate user.

[1450] "Profile information" refers to personal information such as the user's health status and lifestyle habits.

[1451] A "server" refers to a high-performance computer connected to a network that processes and stores data.

[1452] "Updating" refers to the process of replacing existing information with new information.

[1453] "Natural language processing" refers to computer software that understands and processes human language.

[1454] An "emotion analysis device" refers to a program or device that infers and analyzes emotions from text or voice.

[1455] "Response" refers to a reply or response to a question or request.

[1456] "Feedback" refers to evaluations or opinions about behavior or performance.

[1457] A "database" refers to a management system that stores large amounts of data and allows for efficient searching and manipulation.

[1458] "Monitoring" refers to the process of continuously observing and watching over a particular condition or situation.

[1459] The present invention is a system that provides necessary support for elderly people to live healthy lives, and each element of the system, including a user, a terminal, a server, a natural language processing device, and an emotion analysis device, operates in cooperation with each other. Detailed embodiments of the present invention will be described below.

[1460] User Connection and Authentication

[1461] A user launches an application using a device such as a smartphone or PC. A login screen appears, prompting them to enter their username and password. After the user enters their authentication information, the device encrypts it with SSL and sends it to the server. The server compares it with the received information using a MySQL database, and if authentication is successful, returns an approval response to the device. This allows the user to access the home screen.

[1462] Verifying the Initial Configuration

[1463] The server retrieves the user's profile information (e.g., health status, exercise habits, medication list, etc.) from the database and sends it to the device. The device displays this on the screen and asks the user for confirmation. If the user updates the profile information, the device sends this information to the server again. The server stores the updated information in a MySQL database. For example, the user can enter or update their health information, such as "walks three times a week" or "high blood pressure."

[1464] Accepting user questions

[1465] The user uses the chat window on the device to input questions or concerns about their health. For example, the user might type, "I've been feeling tired a lot lately. Do you have any advice?" This input data is sent from the device to the server.

[1466] Information processing and response generation

[1467] The server passes the received question to a natural language processor (e.g., a BERT-based generative AI model) and a sentiment analyzer. The sentiment analyzer analyzes emotions from the user's text and provides the analysis results to the natural language processor. The natural language processor generates an appropriate response that takes the user's emotions into consideration. For example, if the sentiment analyzer detects the user's anxiety, it will generate a response such as, "It may be due to an iron deficiency, but please relax and rest first. If this does not improve, please consult a doctor." The server then sends the generated response to the terminal.

[1468] Responding to the user

[1469] The device displays the received response in a chat window, allowing the user to review the displayed response and follow the instructions.

[1470] Feedback and Tracking

[1471] The user can enter feedback on the system's response on the device screen. For example, they can enter "The advice was helpful. Thank you." The device then sends this feedback to the server. The server records the feedback and the emotional information analyzed by the emotion analyzer in a database, and provides more appropriate responses based on the user's past emotional history during future consultations.

[1472] As described above, this invention is designed to support the maintenance of health in the elderly, and by combining it with an emotion analysis device, it is possible to provide personalized support that corresponds to the user's emotions.

[1473] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1474] Step 1:

[1475] The user launches the application on the device and the login screen appears. The user enters their username and password, which the device sends to the server. The server receives the input data and checks it against a database. If authentication is successful, it returns an approval response to the device. The device then displays the home screen.

[1476] Input: Username, Password

[1477] Data processing: Entered authentication information is SSL encrypted

[1478] Output: Authentication result (success / failure), home screen display

[1479] Step 2:

[1480] The server retrieves the user's profile information from the database and sends it to the device. The device displays the profile information on the screen and asks the user for confirmation. If the user updates the information, the device sends the updated information to the server, which stores it in the database.

[1481] Input: User ID

[1482] Data processing: Retrieving, displaying, and updating profile information

[1483] Output: Display profile information on screen, save updated information

[1484] Step 3:

[1485] The user enters health-related questions and concerns into a chat window on the device, and the device sends this data to the server.

[1486] Input: User question

[1487] Data processing: Receiving and sending questions

[1488] Output: Record of received data

[1489] Step 4:

[1490] The server passes the received question to a natural language processing device and a sentiment analysis device. The sentiment analysis device analyzes emotions from the text and provides the analysis results to the natural language processing device. The natural language processing device generates a response that takes emotions into account, and the server sends this to the terminal.

[1491] Input: Question text

[1492] Data processing: sentiment analysis, response generation

[1493] Output: Chat response text

[1494] Step 5:

[1495] The terminal displays the response received from the server in the chat window, and the user can check it.

[1496] Input: Chat response text

[1497] Data manipulation: Displaying chat responses

[1498] Output: Response displayed on screen

[1499] Step 6:

[1500] The user enters feedback on the system's responses on the device screen, which then sends it to the server, which stores the feedback and the results of sentiment analysis in a database and uses them to generate future responses.

[1501] Input: User feedback text

[1502] Data processing: feedback and sentiment analysis results storage

[1503] Output: Save to database

[1504] (Application example 2)

[1505] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1506] In modern society, there are a wide variety of support systems for elderly people to maintain a healthy lifestyle, but few systems provide personalized advice that takes into account the user's emotional state. Furthermore, there is a particular need for appropriate suggestions regarding diet, which is closely related to health. Therefore, the challenge is to go beyond simply providing health information and provide effective support tailored to individual needs.

[1507] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server is a system for providing support for elderly people to live healthy lives, and includes: a means for a user to connect to the system via a terminal and perform authentication; a means for the terminal to display the user's profile information and send the entered or updated profile information to the server; a means for the user to input questions or concerns from the terminal and for the server to receive and record the input data; a means for the server to pass the questions or concerns received by the server to a chat generation AI module and an emotion engine and generate an appropriate response; a means for the terminal to send the generated response to the user, and for the terminal to display the response to the user; a means for the server to receive user feedback from the terminal and record the data; a means for analyzing the user's emotional state using the emotion engine and generating a response based on the analysis; and a means for including food delivery suggestions as a response. This enables personalized health support and appropriate meal suggestions that take the user's emotional state into consideration.

[1508] "User" refers to individuals, primarily elderly people, who use the system.

[1509] A "terminal" is a device used by a user to access the system, and includes a smartphone, tablet, PC, etc.

[1510] "Server" refers to the computer system containing various modules that receive and record user profile information, questions, and feedback, and generate appropriate responses.

[1511] "Profile information" refers to information including a user's health status, exercise habits, medication list, dietary history, etc.

[1512] "Emotion engine" refers to a module that analyzes the user's emotional state from input data.

[1513] "Chat generation artificial intelligence module" refers to artificial intelligence technology that analyzes users' questions and concerns and generates appropriate responses.

[1514] "Food delivery" refers to a service that delivers meals selected by the user.

[1515] "Question" refers to a health-related inquiry or concern that a user enters through the system.

[1516] "Feedback" refers to opinions and impressions that a user inputs regarding a response or service provided.

[1517] "Response" refers to the answer or suggestion generated by the system in response to a user's question or concern.

[1518] "Database" refers to a system for managing and storing data such as profile information, feedback, and emotional state.

[1519] This invention realizes a support system for elderly people to live healthy lives. Users connect to the system via a terminal and are provided with personalized advice and food delivery suggestions using an emotion engine. This system requires a terminal, a server, an emotion engine, and a chat generation AI module.

[1520] 1. User Connection and Authentication

[1521] Users access the system via a device such as a smartphone and enter their authentication information on the login screen. This connects the device to the server and authenticates the user. For example, when a user enters a username and password, the device sends this to the server, and the authentication information is compared with the database.

[1522] 2. Check the initial settings

[1523] After authentication, the server retrieves the user's profile information from the database and sends it to the device. The device displays the information, and the user can review and update it as needed. For example, the user can update their health status or diet history and then send the information back to the server.

[1524] 3. Accepting user questions

[1525] When a user types a health-related question or concern into the chat window on their device, the device sends it to the server. For example, it sends a question like, "I've lost my appetite recently. Do you have any recommended meals?"

[1526] 4. Information Processing and Response Generation

[1527] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the emotion from the user's input and provides this information to the chat generation AI module. This generates an appropriate response that takes the user's emotion into consideration. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" may be generated.

[1528] 5. Responding to the User

[1529] The generated response is sent to the terminal via the server and displayed in the terminal's chat window, where the user can review it and take appropriate action, such as reviewing the suggested menu and placing an order.

[1530] 6. Feedback and Tracking

[1531] Users can enter feedback on the responses and services provided. The feedback is sent from the device to the server and recorded in a database. This allows future support to be more personalized. For example, you can send feedback such as, "The recommended meal was very good."

[1532] Hardware and Software Description

[1533] The following hardware and software are required to implement this system:

[1534] Hardware: Smartphones, servers

[1535] Software: Emotion engine, chat generation AI module, database management system

[1536] Data processing and calculation are performed as follows: First, the server receives the user's input data. Next, the emotion engine analyzes the data and extracts emotional information. This information is provided to the chat generation AI module, which generates an optimal response based on the user's emotional state. The generated response is returned to the server and transmitted to the device.

[1537] Examples of concrete examples and prompts

[1538] Specifically, the user sends a question such as, "I haven't had much of an appetite lately. Do you have any recommended meals?" The system receives this, the emotion engine analyzes the user's emotional state, and the chat generation AI module generates a response such as, "Let's try ordering something rich in iron or a soup that's easy to digest." This response is sent to the device via the server and displayed in the chat window.

[1539] Example prompt sentence:

[1540] "Question: I haven't had much of an appetite lately. Is there any food you'd recommend? Emotions: Anxiety, fatigue."

[1541] In this way, older people are provided with specific and personalized support to lead healthier lives.

[1542] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1543] Step 1:

[1544] A user connects to the system using a terminal and enters a username and password on the login screen. The entered authentication information is sent from the terminal to the server. The server checks the database and, if authentication is successful, returns authorization information to the terminal. The terminal then displays a login success screen, allowing the user to access the system.

[1545] Step 2:

[1546] If authentication is successful, the server retrieves the user's profile information from the database and sends it to the device. The device displays this information and asks the user for confirmation. If the user updates their profile information, the device sends the updated information to the server, which records it as the latest information in the database. The database includes information such as health status and dietary history.

[1547] Step 3:

[1548] The user inputs a health-related question or concern into the chat window on the device. For example, the user might input a question like, "I've lost my appetite recently. Is there any food you'd recommend?" This input data is sent from the device to the server. The input data is received in order to promptly accept the user's health consultation.

[1549] Step 4:

[1550] The server passes the received question to the emotion engine and chat generation AI module. The emotion engine analyzes the user's emotional state from the question and provides the analysis results to the chat generation AI module. For example, emotions such as "anxiety" and "fatigue" are analyzed. Based on the analyzed emotional information, the chat generation AI module generates the optimal response for the user. For example, a response such as "Try ordering a dish rich in iron or a soup that is easy to digest" might be given.

[1551] Step 5:

[1552] The generated response is sent to the device via the server. The device displays it in a chat window for the user to confirm. The user can then select from the suggested meal menu and place a food delivery order. Input is in the form of chat, and output is displayed as meal suggestions.

[1553] Step 6:

[1554] The user inputs feedback on the provided responses and meal suggestions from the device. For example, the user may enter feedback such as "The recommended meal was very good." This feedback data is sent from the device to the server, which records the feedback in a database. The recorded feedback is reflected in future support. Emotional information is also stored in the database along with the feedback.

[1555] In summary, users connect to the system via their devices and receive personalized meal suggestions based on their health status and emotions using an emotion engine and chat generation AI module. They can then order food delivery based on the suggested menu. Feedback also allows the system to provide better support.

[1556] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1557] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1558] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1559] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1560] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1561] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1562] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1563] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1564] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1565] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1566] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1567] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1568] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1569] 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.

[1570] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1571] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1572] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1573] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1574] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1575] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1576] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1577] The following is further disclosed regarding the above embodiment.

[1578] (Claim 1)

[1579] A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication;

[1580] means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server;

[1581] A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data;

[1582] A means for passing the questions and concerns received by the server to a chat generation AI module and generating an appropriate response;

[1583] means for transmitting the generated response to a terminal, the terminal displaying the response to a user;

[1584] means for receiving user feedback from the terminal and for the server to record the data;

[1585] A system including:

[1586] (Claim 2)

[1587] 2. The system of claim 1, wherein profile information such as a user's health status, exercise habits, and medication list is managed in a database.

[1588] (Claim 3)

[1589] The system of claim 1, wherein the chat generation artificial intelligence module uses the latest health data to generate appropriate advice for the user.

[1590] "Example 1"

[1591] (Claim 1)

[1592] A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication;

[1593] a means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server;

[1594] A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data;

[1595] A means for passing the questions and concerns received by the server to a chat generation AI module and generating an appropriate response;

[1596] means for transmitting the generated response to a terminal, the terminal displaying the response to a user;

[1597] a means for receiving user feedback from the terminal and for the server to record the data;

[1598] A system including:

[1599] (Claim 2)

[1600] 2. The system according to claim 1, wherein profile information such as a user's health status, exercise habits, and medication list is managed in a database.

[1601] (Claim 3)

[1602] The system of claim 1, wherein the chat generation artificial intelligence module uses the latest health data to generate appropriate advice for the user.

[1603] "Application Example 1"

[1604] (Claim 1)

[1605] A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication;

[1606] means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server;

[1607] A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data;

[1608] A means for passing the questions and concerns received by the server to a chat generation AI module and generating an appropriate response;

[1609] means for transmitting the generated response to a terminal, the terminal displaying the response to a user;

[1610] means for receiving user feedback from the terminal and for the server to record the data;

[1611] A means for generating optimal meal suggestions based on health status and assisting in ordering from a food delivery service;

[1612] A system including:

[1613] (Claim 2)

[1614] 10. The system of claim 1, wherein profile information such as a user's health status, exercise habits, medication list, and dietary restrictions is managed in a database.

[1615] (Claim 3)

[1616] 2. The system of claim 1, wherein the chat generation artificial intelligence module utilizes up-to-date health data and dietary restriction information to generate appropriate advice and dietary suggestions for the user.

[1617] "Example 2: Combining Emotion Engines"

[1618] (Claim 1)

[1619] A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication;

[1620] means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server;

[1621] A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data;

[1622] A means for passing the questions and concerns received by the server to a natural language processing device and an emotion analysis device to generate appropriate responses;

[1623] means for transmitting the generated response to a terminal, the terminal displaying the response to a user;

[1624] means for receiving user feedback from the terminal and for the server to record the data;

[1625] a means for the emotion analysis device to analyze emotions from the user's text and store the analysis results for use in generating future responses;

[1626] A system including:

[1627] (Claim 2)

[1628] 10. The system of claim 1, wherein profile information such as a user's health status, exercise habits, and medication list is managed in a database.

[1629] (Claim 3)

[1630] 2. The system of claim 1, wherein the natural language processing device utilizes the latest health data to generate appropriate advice for the user.

[1631] "Application example 2 when combining emotion engines"

[1632] (Claim 1)

[1633] A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication;

[1634] means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server;

[1635] A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data;

[1636] A means for passing the questions and concerns received by the server to a chat generation AI module and an emotion engine to generate appropriate responses;

[1637] means for transmitting the generated response to a terminal, the terminal displaying the response to a user;

[1638] means for receiving user feedback from the terminal and for the server to record the data;

[1639] means for analyzing the emotional state of the user using an emotion engine and generating a response based thereon;

[1640] means for responding with food delivery-related offers;

[1641] A system including:

[1642] (Claim 2)

[1643] 2. The system of claim 1, wherein profile information such as a user's health status, exercise habits, medication list, and dietary history is managed in a database.

[1644] (Claim 3)

[1645] 2. The system of claim 1, wherein the chat generation artificial intelligence module and emotion engine utilizes the latest health data and emotional state to generate appropriate advice regarding food delivery. [Explanation of symbols]

[1646] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A system for providing support for elderly people to live healthy lives, comprising: a means for a user to connect to the system via a terminal and perform authentication; means for the terminal to display the user's profile information and transmit the entered or updated profile information to the server; A means for users to input questions or concerns into a terminal, and for the server to receive and record the input data; A means for passing the questions and concerns received by the server to a chat generation AI module and generating an appropriate response; means for transmitting the generated response to a terminal, the terminal displaying the response to a user; means for receiving user feedback from the terminal and for the server to record the data; A system including:

2. 2. The system according to claim 1, wherein profile information such as a user's health condition, exercise habits, and medication list is managed in a database.

3. The system of claim 1, wherein the chat generation artificial intelligence module uses the latest health data to generate appropriate advice for the user.

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