system

Abstract

We provide the system. [Solution] The information input device has means for communicating with the central control unit via a communication infrastructure, The central control unit includes means for storing the user's biological and psychological state information received from the information input device, Means for transmitting stored information to other authorized information input devices, A means of visualizing information received by other information input devices, In care settings, a means of tracking the user's physiological and psychological state and notifying authorized medical professionals and relatives, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, with the progress of the declining birthrate and aging population and the digitalization of life, the opportunities for people's direct communication are decreasing, and the sense of loneliness is increasing. Such a situation may have an adverse impact on an individual's well-being and mental health, but there is a problem that there is a lack of a mechanism to naturally connect people without infringing on individual living habits and privacy.

Means for Solving the Problems

[0005] This invention provides a means for an information input terminal to communicate with a central server via a communication network and input data on the user's physiological and psychological state. The central server stores the input data, transmits it to other authorized information input terminals, and displays it on the receiving end, thereby providing a system that facilitates everyday communication in a natural way. Through this system, users can share their state and activate two-way communication while maintaining strong connections with those close to them.

[0006] An "information input terminal" is a device that allows users to input data and communicate with a central server via a communication network.

[0007] A "communication network" refers to the infrastructure used for sending and receiving data between information input terminals and a central server.

[0008] A "central server" is a core computer system that processes and stores user data received from information input terminals and transmits that data to other authorized terminals.

[0009] "Physiological and psychological state data" refers to data that shows information about the user's physical health status and psychological and emotional state.

[0010] A "prompt" refers to a question or instruction message generated to encourage the user to provide input.

[0011] "Authorized other information input terminals" refers to other users' devices that have been previously authorized to receive and display the user's data. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2]This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between a plurality of 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), or Bluetooth (registered trademark), and the like.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] This invention relates to a system for managing and sharing information about a user's physiological and psychological state, using an information input terminal, a central server, and a communication network. This system provides an environment in which users can easily record their own psychological and physiological information on a daily basis and share it with authorized third parties.

[0034] Operation of the information input terminal

[0035] The system is started when the user operates an information input terminal and launches an application or software. The information input terminal establishes an online connection via a communication network to access the central server. After startup, the terminal provides the user with an interface for inputting their current physiological and psychological state. This interface prompts the user with specific questions to encourage input.

[0036] Central server operation

[0037] Data transmitted from information input terminals is received by a central server. The server appropriately organizes and analyzes the received data and stores it in a database. This stored data is then transmitted to other authorized information input terminals based on privacy settings and permission lists. The server uses generative AI to adjust the content of prompts and the scope of data sharing.

[0038] Operation of other information input terminals

[0039] Other data input terminals will receive data sent from the central server only if authorized. This data will be displayed as a notification on the terminal, and the recipient can view its contents. The recipient can also send messages or feedback to the sender based on the received data.

[0040] Specific example

[0041] For example, suppose user A uses an information input terminal in the morning to input their physical condition and mood as "slightly tired" and sends it. The central server receives this information and sends it to the terminals of friends and family members that user A has authorized. The recipient's terminal displays a notification saying, "It seems that user A is slightly tired." The recipient can check this information and, if necessary, send a response message such as, "Don't push yourself today, get some rest." In this way, users can communicate their condition to those around them in a natural manner, and communication is facilitated.

[0042] This system can strengthen connections between users, potentially reducing feelings of loneliness and improving overall well-being.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user launches the application on the information input terminal and establishes a connection to the server.

[0046] Step 2:

[0047] The terminal receives prompts from the server and displays an interface for the user to input their current physiological and psychological state.

[0048] Step 3:

[0049] The user follows the prompts to enter their physical condition and mood, and then presses the submit button.

[0050] Step 4:

[0051] The terminal transmits the user's input data to a central server via the communication network.

[0052] Step 5:

[0053] The server receives the data and stores it in the database. It also verifies the destination of the data based on permission settings.

[0054] Step 6:

[0055] The server prepares to send user data to other authorized data entry terminals and then sends it.

[0056] Step 7:

[0057] Other data input terminals receive data from the server and display it as a notification. The recipient can then view the data.

[0058] Step 8:

[0059] The recipient can compose and send a reply message to the sender as needed. The communication is completed by the recipient's action.

[0060] (Example 1)

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

[0062] In modern society, appropriately understanding an individual's physiological and psychological state and sharing it with a trusted third party as needed is crucial for health management and mental support. However, existing information sharing systems have problems such as difficulty in providing appropriate prompts to users and insufficient consideration of privacy. This invention aims to provide an information sharing system that balances appropriate communication with privacy protection.

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

[0064] In this invention, the server includes means for communicating with main memory via a communication path, means for storing information about the user's physiological and psychological state received from an information processing device, and means for transferring this information to other authorized information processing devices. This enables the user to record their state in detail on a daily basis and share it with third parties in a secure and trusted manner.

[0065] An "information processing device" is a device used for inputting, processing, and outputting data, and is a device that can generate and transmit information through user operation.

[0066] A "communication path" is a network infrastructure used to send and receive information, and is a means of connecting information processing equipment and main memory.

[0067] "Main memory" refers to a central control unit that receives information transmitted from information processing devices, organizes and manages it, and transfers it to other information processing devices as needed.

[0068] "Physiological state" refers to information about the user's physical condition, and is a general term for data indicating physical condition, fatigue level, and health status.

[0069] "Psychological state" refers to information about the user's mental state and emotions, and is a general term for data indicating mood, stress levels, and emotional changes.

[0070] A "guidance message" is a text or audio message designed to guide users through the information input process, and is a set of instructions generated to facilitate appropriate information gathering.

[0071] A "response message" is a message generated as a reply based on information received from another information processing device, and serves as a means of communication for dialogue with the sender.

[0072] This invention relates to a system for managing and sharing information about a user's physiological and psychological state using an information processing device, a main memory, and a communication path. This system provides an environment in which users can easily record their own state in their daily lives and share information with trusted third parties.

[0073] Operation of the information processing device

[0074] Users can begin using the system by operating the information processing device and launching a dedicated application. The information processing device is equipped with a user interface to facilitate input regarding the user's state, and prompt messages are displayed to the user. For example, a question such as "How are you feeling this morning?" may be displayed, and the user will input using the keyboard or microphone.

[0075] Operation of main memory

[0076] Data input by the information processing device is transmitted to the main memory via a communication path. The main memory stores the received data and analyzes it using a generative AI model. This analysis extracts trends and characteristics from the data, which are then used to generate relevant prompts and notifications.

[0077] Sharing information

[0078] The analyzed data is transferred to other authorized information processing devices based on the user's pre-configured privacy settings and allowlist. This ensures that information transmitted by the user is shared with third parties to an appropriate extent, and the receiving information processing device will display a notification.

[0079] Specific example

[0080] For example, a user might input "I'm a little tired today" into the information processing device. This information is sent to the main memory, analyzed by a generating AI, and then a notification is sent to family and friends authorized by the user stating, "The user seems a little tired." Upon receiving this notification, family members can reply to the user with a warm message such as, "Don't push yourself today, get some rest."

[0081] Thus, the present invention aims to promote communication among users and strengthen social connections by providing a function to safely and easily manage the user's status and share information with trusted third parties.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] When a user launches an information input application, the terminal establishes a connection with the server via a communication path. At this point, the application displays an initial screen and launches the user interface in preparation for input. Input is prompted by a prompt message, such as "How are you feeling this morning?". This supports both voice and text input. The user's response is then sent to the server in the next step.

[0085] Step 2:

[0086] The terminal transmits information about the user's physiological and psychological state to the server. The input data is in the form of text or audio, which is digitized and transmitted. The server receives this data and performs preprocessing to store it in a database. The data is stored with a time stamp in preparation for later analysis.

[0087] Step 3:

[0088] The server analyzes the information stored in the database using a generative AI model. The input for the analysis is all state data obtained from the user, which is used to extract psychological trends and patterns of state changes. The generative AI model outputs conclusions such as "You need to relax," and establishes the basis for generating additional prompts or notifications as needed.

[0089] Step 4:

[0090] The server selects authorized devices based on the analysis results and notifies other information processing devices. The selection of recipients is based on the privacy settings set by the data inputter. The notification is sent as text containing the analysis results, and may include information such as "The user appears to be somewhat fatigued."

[0091] Step 5:

[0092] Other information processing devices receive notifications sent from the server and display them to the user. After the received data is displayed on the device, it becomes input for the recipient to generate a response message as needed. By entering a message on the terminal, a reply is made to the sender, and digital communication is established.

[0093] (Application Example 1)

[0094] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0095] In an aging society, there is a need to appropriately manage the physiological and psychological states of residents in care settings and provide information to medical professionals and relatives in real time. However, conventional methods result in delays in information transmission, making it difficult to respond quickly to changes in residents' conditions. Therefore, a system is needed that can accurately grasp the health status of residents and enable prompt responses.

[0096] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0097] In this invention, the server includes means for storing biological and psychological state information from an information input device, means for transmitting the stored information to other authorized information input devices, and means for tracking the user's condition in a care setting and notifying authorized medical personnel or relatives. This enables real-time monitoring of the health status of residents in care facilities, allowing for rapid information provision and response.

[0098] An "information input device" is a device that allows a user to input their physiological and psychological state and transmit it to a central control unit via a communication infrastructure.

[0099] "Communication infrastructure" refers to the network infrastructure used by information input devices and central control units to send and receive data.

[0100] A "central control unit" is a server that stores received physiological and psychological state information and transmits appropriate information to other authorized information input devices.

[0101] "Physiological state" refers to information about the user's physical health, including their physical condition and vital signs.

[0102] "Psychological state" refers to information about the user's mental health, including mood and emotions.

[0103] "Means of storage" refers to the function of the central control unit saving the information it receives to a database or storage.

[0104] "Means of transmission" refers to the function of appropriately transferring stored information to other authorized information input devices.

[0105] "Means of visualization" refers to a function that displays information received by other information input devices in a format that the user can verify.

[0106] "Tracking" is the process of continuously recording and analyzing changes in a user's physiological and psychological state.

[0107] "Notification means" refers to an information transmission function that informs authorized medical professionals or family members of changes in the user's condition.

[0108] This invention is a system for managing the physiological and psychological state of residents in care settings in real time and promptly notifying relevant medical professionals and relatives. The system includes an information input device, a communication infrastructure, and a central control unit.

[0109] The information input device allows residents and care staff to input physiological and psychological conditions, such as the resident's physical condition and mood, using smartphones or tablets. The input data is transmitted to the central control unit via a communication infrastructure. The central control unit stores the received data in a database and performs analysis based on specific conditions. It also has a function to notify authorized medical professionals and relatives of changes in the resident's condition.

[0110] The implementation of this system will utilize an internet connection as the communication infrastructure, software for database management (such as MySQL® or PostgreSQL), Python as the programming language, and the Requests library for communication.

[0111] For example, if resident A enters "I'm a little tired," that information is sent to the central control unit, which immediately notifies medical staff and A's relatives. This allows for a quick response to changes in condition and the provision of appropriate care.

[0112] An example of an input prompt for the generating AI model is, "Please tell me how to record the physiological and psychological state of residents in a nursing home in real time and notify the necessary stakeholders." This concisely illustrates the function and purpose of the system.

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The user activates the information input device and inputs their physiological and psychological state from the application screen. Specifically, this input is information about the user's physical condition and mood at that time. The information input device collects this data and prepares it to be transmitted to the central control unit via the communication infrastructure. In this step, the flow is: input data = user's physiological and psychological state, output data = prepared transmission data.

[0116] Step 2:

[0117] The terminal transmits data to the central control unit via the communication infrastructure. The communication infrastructure uses an internet connection to transfer data accurately and quickly. The server verifies the received data and confirms that it is in the correct format. In this step, the input data is physiological and psychological state data from the terminal, and the output data is valid data on the server.

[0118] Step 3:

[0119] The server stores the received data in the database. During this process, the data on the server is organized chronologically to prepare for later analysis. Furthermore, the data is appropriately encrypted to protect privacy information. In this step, the input data is the data received by the server, and the output data is the organized data stored in the database.

[0120] Step 4:

[0121] The server analyzes stored data and generates alerts based on specific conditions. For example, if a user enters "I am very tired," an alert is issued based on that information and pre-configured rules. In this step, the input data is physiological and psychological state data in the database, and the output data is the generated alert.

[0122] Step 5:

[0123] The server generates alerts and notifies authorized healthcare professionals and family members. These notifications are sent via email or in-app notifications to encourage prompt action. The notifications include details of the user's status, allowing stakeholders to immediately consider necessary responses. In this step, the input data is the generated alert, and the output data is the notification to the authorized control device.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] This invention is a system that utilizes an emotion engine in addition to an information input terminal, a central server, and a communication network, and aims to evaluate the user's physiological and psychological state and provide deeper insights. This system facilitates smooth communication, enabling users to understand their own emotions in their daily lives and share them with others.

[0126] Operation of the information input terminal

[0127] When a user launches an application on an information input terminal, the terminal connects to a central server via a communication network. The user can then input their physiological and psychological state through an interface provided via prompts. This input includes text data and selections from multiple-choice options.

[0128] Operation of the central server and emotion engine

[0129] The central server receives user input data from information input terminals and analyzes it using an emotion engine. The emotion engine recognizes the user's emotions based on text analysis and choices, and generates a result. This analysis result is stored in a database and simultaneously sent to the information input terminal as user-appropriate feedback.

[0130] Operation of other information input terminals

[0131] Other information input terminals can receive sentiment analysis results from authorized users and display notifications on their screens. Based on this information, recipients can provide appropriate feedback or replies to the sender, thereby deepening communication.

[0132] Specific example

[0133] For example, if user A uses an information input terminal in the evening and enters "I feel a little anxious today," the emotion engine analyzes the keyword "anxiety" and recognizes the emotional state as "anxiety." The analysis result is sent to user A as a feedback message saying, "You might need to relax today." At the same time, authorized family member B's terminal is notified that user A is feeling "a little anxious today," and family member B can respond by sending a message such as, "Shall we talk?"

[0134] Through this system, users can recognize and share their own emotions with others, enabling communication that respects each other's feelings and fostering richer relationships.

[0135] The following describes the processing flow.

[0136] Step 1:

[0137] The user launches the application on an information input terminal and establishes a connection with the central server via the communication network.

[0138] Step 2:

[0139] The terminal receives prompts from a central server and displays an interface for the user to input their physiological and psychological state.

[0140] Step 3:

[0141] The user follows the prompts, enters their physical condition and feelings into the text box, and presses the submit button.

[0142] Step 4:

[0143] The device sends user input data to the server. This data is used for processing by the emotion engine.

[0144] Step 5:

[0145] The server passes the received user data to the emotion engine, which performs text analysis to recognize emotions.

[0146] Step 6:

[0147] The emotion engine generates an emotional state based on the analysis results and creates a feedback message for the user.

[0148] Step 7:

[0149] The server sends the analysis results and feedback to the information input terminal, and simultaneously transfers the same data to other authorized terminals.

[0150] Step 8:

[0151] Other data input terminals receive data from the server and display it as a notification. The recipient can then check the analysis results.

[0152] Step 9:

[0153] Communication is completed when the recipient creates a reply message appropriate to the sender's status and sends it back to the sender.

[0154] (Example 2)

[0155] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0156] In modern society, while individuals are required to accurately understand their own physiological and psychological states and take appropriate action, there is a problem in the lack of effective systems to support this. Furthermore, tools for facilitating smooth communication with others are limited, so there is a need for means to appropriately share emotions and understand each other.

[0157] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0158] In this invention, the server includes means for providing an emotion recognition function using a generative AI model that analyzes data acquired from an information processing device, means for sending appropriate feedback to the user based on the analysis results, and means for distributing the analyzed data to other information processing devices. This enables users to recognize their own emotions, share them with others, and engage in more fulfilling communication.

[0159] An "information processing device" is a device that receives user input, processes data, and exchanges information with a central control unit via a communication network.

[0160] A "central control unit" is a device that plays a central role in a system that manages data received from information processing devices and stores and distributes analysis results.

[0161] A "generative AI model" is an algorithm that utilizes artificial intelligence technology to analyze user input data and recognize their emotional state.

[0162] The "emotion recognition function" is a function that identifies the user's emotions based on the input data and analyzes their state.

[0163] "Feedback" refers to responses that include suggestions and information provided to the user based on their analyzed emotional state.

[0164] A "digital communication channel" refers to the internet and other communication paths used for sending and receiving information.

[0165] This system uses information processing equipment, a central control unit, and digital communication channels to analyze the user's physiological and psychological state and provide feedback. The overall system aims to accurately recognize the user's emotions and facilitate appropriate communication.

[0166] Terminal operation

[0167] The user launches a dedicated application on an information processing device (such as a smartphone or tablet) and inputs information about their physiological and psychological state. This information can be provided through the input interface in text or multiple-choice format. For example, the user might input, "I don't feel motivated today."

[0168] Server operation

[0169] The server receives data transmitted from the information processing device and analyzes it using an emotion recognition function based on a generative AI model. The generative AI model performs text analysis to identify the user's emotions. The identified emotions are used as basic data to generate corresponding feedback messages. For example, it might generate feedback such as, "We recommend taking a break to help you relax."

[0170] Integration with other devices

[0171] The server also transmits the analysis results to other authorized information processing devices. These other devices (such as those of family or friends) can display the results on their screens and respond to the user's status. For example, a family member could send a message via their device saying, "Let's talk tonight."

[0172] Specific example

[0173] If a user types "I'm feeling a little anxious today" in the evening, the system recognizes the emotion of "anxiety" and immediately provides feedback to the user saying, "You might need to relax today." Additionally, family members' information devices are notified that "the user is feeling anxious," allowing them to respond with an encouraging message such as, "It's okay, we'll get through this together."

[0174] Examples of prompts include simple question-based calls such as, "Please tell me how you're feeling right now." Based on the user's response to this prompt, the generative AI model analyzes the emotions and generates feedback.

[0175] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0176] Step 1:

[0177] The user launches an application on the information processing device and inputs their physiological and psychological state according to the prompts. The user enters the text data "I feel a little anxious today" into the input interface. This input data is stored on the information processing device and transmitted to the server via a digital communication channel.

[0178] Step 2:

[0179] The server inputs the received text data into a generative AI model and begins sentiment analysis. The generative AI model uses a language processing algorithm to analyze the text data in order to identify the emotion "anxiety." This analysis identifies the user's emotional state as "anxiety."

[0180] Step 3:

[0181] The server generates a feedback message based on the analysis results. For the emotional state "anxiety," it generates the text, "We recommend taking a short break to help you relax." This feedback message is then tailored for the user and sent to the information processing device.

[0182] Step 4:

[0183] The device receives feedback messages from the server and displays them on the user's screen. The user can review the feedback and take action based on it. For example, the user might take time to relax as recommended.

[0184] Step 5:

[0185] The server also sends the sentiment analysis results to other authorized information processing devices. This process involves privacy-conscious data transfer, and the data is received by devices belonging to family members or close friends. The receiving devices are notified that "the user is feeling anxious" and are prepared to respond.

[0186] Step 6:

[0187] Based on the analysis information received by other information processing devices, the owner can create a reply message. For example, if a family member types and sends the message "It's okay, let's do our best together," that message will immediately arrive on the user's device and be displayed on the user's screen.

[0188] (Application Example 2)

[0189] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0190] In traditional care settings, it was difficult to accurately understand the emotional state of users, resulting in an inability to provide care focused on individual users. Furthermore, insufficient information sharing between facility staff and users' families led to a lack of effective communication necessary to maintain users' mental health. This presented a challenge in improving users' Quality of Life (QOL).

[0191] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0192] In this invention, the server includes means for an information acquisition device to exchange information with a central processing unit via an information transmission system, means for the central processing unit to store the user's physical and mental state data received from the information acquisition device, means for transmitting the stored data to other authorized information acquisition devices, and means for recognizing the user's emotions using an emotion analysis device and generating an appropriate response. This makes it easier for care staff to grasp the user's emotional state in a timely manner and provide individualized care. Furthermore, by sharing the emotional state with the user's family, it becomes possible to build a close cooperative system between the home and the facility.

[0193] An "information acquisition device" is a device that has the function of inputting and acquiring data from users and transmitting it to a central processing unit through an information transmission system.

[0194] An "information transmission system" is a means of communication that exchanges data between an information acquisition device and a central processing unit.

[0195] A "central processing unit" is a data processing unit that manages the physical and mental state of users by storing and processing received data.

[0196] "Physical and mental status data" refers to information about the user's physical health and emotional state, and is important indicator data in caregiving.

[0197] A "means of storage" refers to a mechanism for saving received data so that it can be used or analyzed later.

[0198] An "emotion analysis device" is a system that analyzes acquired data to identify the user's emotions.

[0199] An "appropriate response" is specific and helpful feedback provided to the user or their stakeholders, generated based on the results of sentiment analysis.

[0200] To implement this invention, it is a prerequisite that an information acquisition device, such as a smartphone or tablet, be used in a nursing care facility. These devices provide an interface for inputting the daily physical and mental state of the users. The information acquisition device is connected to a central processing unit (server) via Wi-Fi or mobile data communication. The server uses web server software such as Apache® or Nginx to receive and process the data.

[0201] On the server, received data is stored in a database such as MySQL or PostgreSQL. This data is analyzed using an emotion analysis device, specifically a natural language processing model built in Python. For example, the Google® Cloud Natural Language API is used to identify emotions from user input. The resulting analysis generates feedback as an appropriate response for the user and related parties.

[0202] As feedback, if a user's mental state is analyzed as "anxious," a message such as "How about going for a walk to relax?" may be generated. Additionally, information such as "The user seems to be feeling a little anxious" is shared with the user's family. This facilitates close information sharing between care staff and family, aiming to improve the user's quality of life (QOL).

[0203] As a concrete example, here is an example of a prompt: "What emotion do you feel from this sentence?: I feel a little lonely this morning." This allows the generative AI model to extract emotions from the target sentence and provide appropriate feedback.

[0204] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0205] Step 1:

[0206] The user inputs their physical and mental state into the interface using an information acquisition device. This input is in text format or multiple-choice format. The input data is transmitted to the server via an information transmission system.

[0207] Step 2:

[0208] The server receives data transmitted from the information acquisition device. This data is first validated on the server to check if it is valid. Once validation is complete, the data becomes input data that is stored in the database.

[0209] Step 3:

[0210] The server sends the stored data to the emotion analyzer. The emotion analyzer uses a Python®-based natural language processing model, such as the Google Cloud Natural Language API, to analyze the emotions from the input data. This analysis identifies the mental state represented by the data (e.g., reassurance, anxiety, loneliness).

[0211] Step 4:

[0212] Based on the results of the emotion analysis, the server generates appropriate feedback messages. For example, if "loneliness" is identified, a message such as "Try an activity to refresh yourself" will be generated as feedback. This feedback aims to encourage beneficial actions from the user.

[0213] Step 5:

[0214] The server sends the generated feedback message to the information acquisition device. Users can visually check the feedback message on their own devices, which can serve as a starting point for considering appropriate actions.

[0215] Step 6:

[0216] Simultaneously with step 5, the server also transmits the analysis results to other information acquisition devices authorized by the server. This data is shared with facility staff and family members, enabling them to provide support based on an understanding of the user's current situation.

[0217] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0218] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0219] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0220] [Second Embodiment]

[0221] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0222] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0223] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0224] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0225] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0226] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0227] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0228] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0229] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0230] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0231] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0232] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0233] This invention relates to a system for managing and sharing information about a user's physiological and psychological state, using an information input terminal, a central server, and a communication network. This system provides an environment in which users can easily record their own psychological and physiological information on a daily basis and share it with authorized third parties.

[0234] Operation of the information input terminal

[0235] The system is started when the user operates an information input terminal and launches an application or software. The information input terminal establishes an online connection via a communication network to access the central server. After startup, the terminal provides the user with an interface for inputting their current physiological and psychological state. This interface prompts the user with specific questions to encourage input.

[0236] Central server operation

[0237] Data transmitted from information input terminals is received by a central server. The server appropriately organizes and analyzes the received data and stores it in a database. This stored data is then transmitted to other authorized information input terminals based on privacy settings and permission lists. The server uses generative AI to adjust the content of prompts and the scope of data sharing.

[0238] Operation of other information input terminals

[0239] Other data input terminals will receive data sent from the central server only if authorized. This data will be displayed as a notification on the terminal, and the recipient can view its contents. The recipient can also send messages or feedback to the sender based on the received data.

[0240] Specific example

[0241] For example, suppose user A uses an information input terminal in the morning to input their physical condition and mood as "slightly tired" and sends it. The central server receives this information and sends it to the terminals of friends and family members that user A has authorized. The recipient's terminal displays a notification saying, "It seems that user A is slightly tired." The recipient can check this information and, if necessary, send a response message such as, "Don't push yourself today, get some rest." In this way, users can communicate their condition to those around them in a natural manner, and communication is facilitated.

[0242] This system can strengthen connections between users, potentially reducing feelings of loneliness and improving overall well-being.

[0243] The following describes the processing flow.

[0244] Step 1:

[0245] The user launches the application on the information input terminal and establishes a connection to the server.

[0246] Step 2:

[0247] The terminal receives prompts from the server and displays an interface for the user to input their current physiological and psychological state.

[0248] Step 3:

[0249] The user follows the prompts to enter their physical condition and mood, and then presses the submit button.

[0250] Step 4:

[0251] The terminal transmits the user's input data to a central server via the communication network.

[0252] Step 5:

[0253] The server receives the data and stores it in the database. It also verifies the destination of the data based on permission settings.

[0254] Step 6:

[0255] The server prepares to send user data to other authorized data entry terminals and then sends it.

[0256] Step 7:

[0257] Other data input terminals receive data from the server and display it as a notification. The recipient can then view the data.

[0258] Step 8:

[0259] The recipient can compose and send a reply message to the sender as needed. The communication is completed by the recipient's action.

[0260] (Example 1)

[0261] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0262] In modern society, appropriately understanding an individual's physiological and psychological state and sharing it with a trusted third party as needed is crucial for health management and mental support. However, existing information sharing systems have problems such as difficulty in providing appropriate prompts to users and insufficient consideration of privacy. This invention aims to provide an information sharing system that balances appropriate communication with privacy protection.

[0263] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0264] In this invention, the server includes means for communicating with main memory via a communication path, means for storing information about the user's physiological and psychological state received from an information processing device, and means for transferring this information to other authorized information processing devices. This enables the user to record their state in detail on a daily basis and share it with third parties in a secure and trusted manner.

[0265] An "information processing device" is a device used for inputting, processing, and outputting data, and is a device that can generate and transmit information through user operation.

[0266] A "communication path" is a network infrastructure used to send and receive information, and is a means of connecting information processing equipment and main memory.

[0267] "Main memory" refers to a central control unit that receives information transmitted from information processing devices, organizes and manages it, and transfers it to other information processing devices as needed.

[0268] "Physiological state" refers to information about the user's physical condition, and is a general term for data indicating physical condition, fatigue level, and health status.

[0269] "Psychological state" refers to information about the user's mental state and emotions, and is a general term for data indicating mood, stress levels, and emotional changes.

[0270] A "guidance message" is a text or audio message designed to guide users through the information input process, and is a set of instructions generated to facilitate appropriate information gathering.

[0271] A "response message" is a message generated as a reply based on information received from another information processing device, and serves as a means of communication for dialogue with the sender.

[0272] This invention relates to a system for managing and sharing information about a user's physiological and psychological state using an information processing device, a main memory, and a communication path. This system provides an environment in which users can easily record their own state in their daily lives and share information with trusted third parties.

[0273] Operation of the information processing device

[0274] Users can begin using the system by operating the information processing device and launching a dedicated application. The information processing device is equipped with a user interface to facilitate input regarding the user's state, and prompt messages are displayed to the user. For example, a question such as "How are you feeling this morning?" may be displayed, and the user will input using the keyboard or microphone.

[0275] Operation of main memory

[0276] Data input by the information processing device is transmitted to the main memory via a communication path. The main memory stores the received data and analyzes it using a generative AI model. This analysis extracts trends and characteristics from the data, which are then used to generate relevant prompts and notifications.

[0277] Sharing information

[0278] The analyzed data is transferred to other authorized information processing devices based on the user's pre-configured privacy settings and allowlist. This ensures that information transmitted by the user is shared with third parties to an appropriate extent, and the receiving information processing device will display a notification.

[0279] Specific example

[0280] For example, a user might input "I'm a little tired today" into the information processing device. This information is sent to the main memory, analyzed by a generating AI, and then a notification is sent to family and friends authorized by the user stating, "The user seems a little tired." Upon receiving this notification, family members can reply to the user with a warm message such as, "Don't push yourself today, get some rest."

[0281] Thus, the present invention aims to promote communication among users and strengthen social connections by providing a function to safely and easily manage the user's status and share information with trusted third parties.

[0282] The flow of the specific process in Example 1 will be described using FIG. 11.

[0283] Step 1:

[0284] When the user launches the information input application, the terminal establishes a connection with the server through the communication path. At this time, as preparation for input, the application displays an initial screen and launches the user interface. Input is prompted by displaying a prompt sentence such as "How are you feeling this morning?" This supports both voice and text input. The answer entered by the user is sent to the server in the next step.

[0285] Step 2:

[0286] The terminal sends the information on the physiological and psychological states entered by the user to the server. The data obtained as input is text or voice data, which is digitized and sent. The server receives this data and performs preprocessing for storage in the database. The data is stored together with a time stamp in preparation for later analysis.

[0287] Step 3:

[0288] The server analyzes the information stored in the database using a generative AI model. The input for the analysis is all the state data obtained from the user, and this is used to extract patterns of psychological trends and state changes. The generative AI model outputs a conclusion such as "Relaxation is needed" and establishes basic information for generating additional prompts or notification content as required.

[0289] Step 4:

[0290] The server selects authorized devices based on the analysis results and notifies other information processing devices. The selection of recipients is based on the privacy settings set by the data inputter. The notification is sent as text containing the analysis results, and may include information such as "The user appears to be somewhat fatigued."

[0291] Step 5:

[0292] Other information processing devices receive notifications sent from the server and display them to the user. After the received data is displayed on the device, it becomes input for the recipient to generate a response message as needed. By entering a message on the terminal, a reply is made to the sender, and digital communication is established.

[0293] (Application Example 1)

[0294] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0295] In an aging society, there is a need to appropriately manage the physiological and psychological states of residents in care settings and provide information to medical professionals and relatives in real time. However, conventional methods result in delays in information transmission, making it difficult to respond quickly to changes in residents' conditions. Therefore, a system is needed that can accurately grasp the health status of residents and enable prompt responses.

[0296] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0297] In this invention, the server includes means for storing biological and psychological state information from an information input device, means for transmitting the stored information to other authorized information input devices, and means for tracking the user's condition in a care setting and notifying authorized medical personnel or relatives. This enables real-time monitoring of the health status of residents in care facilities, allowing for rapid information provision and response.

[0298] An "information input device" is a device that allows a user to input their physiological and psychological state and transmit it to a central control unit via a communication infrastructure.

[0299] "Communication infrastructure" refers to the network infrastructure used by information input devices and central control units to send and receive data.

[0300] A "central control unit" is a server that stores received physiological and psychological state information and transmits appropriate information to other authorized information input devices.

[0301] "Physiological state" refers to information about the user's physical health, including their physical condition and vital signs.

[0302] "Psychological state" refers to information about the user's mental health, including mood and emotions.

[0303] "Means of storage" refers to the function of the central control unit saving the information it receives to a database or storage.

[0304] "Means of transmission" refers to the function of appropriately transferring stored information to other authorized information input devices.

[0305] "Means of visualization" refers to a function that displays information received by other information input devices in a format that the user can verify.

[0306] "Tracking" is a process of continuously recording and analyzing changes in a user's physiological and psychological states.

[0307] "Means of notification" is an information transmission function for notifying authorized medical personnel and relatives of changes in the user's state.

[0308] This invention is a system for managing the physiological and psychological states of residents in a care facility in real time and quickly notifying relevant medical personnel and relatives. The system is configured to include an information input device, a communication infrastructure, and a central control device.

[0309] The information input device allows residents and care staff to input the physiological and psychological states of the residents, such as their physical condition and mood, using smartphones or tablets. The input data is transmitted to the central control device via the communication infrastructure. In the central control device, the received data is stored in a database and analyzed based on specific conditions. It also has a function to notify authorized medical personnel and relatives of changes in the resident's state.

[0310] For the implementation of this system, an Internet connection as the communication infrastructure, software for database management (such as MySQL or PostgreSQL), the Python programming language, and the Requests library for communication are used.

[0311] As a specific example, when resident A inputs "a little tired", the information is transmitted to the central control device, and from there, the information is immediately notified to medical personnel and A's relatives. This enables a quick response to the state change and the provision of appropriate care.

[0312] An example of an input prompt for the generative AI model is "Please teach me how to record the physiological and psychological states of residents in a care facility in real time and notify the necessary parties." This briefly shows the functions and purposes of the system.

[0313] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0314] Step 1:

[0315] The user activates the information input device and inputs their physiological and psychological state from the application screen. Specifically, this input is information about the user's physical condition and mood at that time. The information input device collects this data and prepares it to be transmitted to the central control unit via the communication infrastructure. In this step, the flow is: input data = user's physiological and psychological state, output data = prepared transmission data.

[0316] Step 2:

[0317] The terminal transmits data to the central control unit via the communication infrastructure. The communication infrastructure uses an internet connection to transfer data accurately and quickly. The server verifies the received data and confirms that it is in the correct format. In this step, the input data is physiological and psychological state data from the terminal, and the output data is valid data on the server.

[0318] Step 3:

[0319] The server stores the received data in the database. During this process, the data on the server is organized chronologically to prepare for later analysis. Furthermore, the data is appropriately encrypted to protect privacy information. In this step, the input data is the data received by the server, and the output data is the organized data stored in the database.

[0320] Step 4:

[0321] The server analyzes stored data and generates alerts based on specific conditions. For example, if a user enters "I am very tired," an alert is issued based on that information and pre-configured rules. In this step, the input data is physiological and psychological state data in the database, and the output data is the generated alert.

[0322] Step 5:

[0323] The server generates alerts and notifies authorized healthcare professionals and family members. These notifications are sent via email or in-app notifications to encourage prompt action. The notifications include details of the user's status, allowing stakeholders to immediately consider necessary responses. In this step, the input data is the generated alert, and the output data is the notification to the authorized control device.

[0324] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0325] This invention is a system that utilizes an emotion engine in addition to an information input terminal, a central server, and a communication network, and aims to evaluate the user's physiological and psychological state and provide deeper insights. This system facilitates smooth communication, enabling users to understand their own emotions in their daily lives and share them with others.

[0326] Operation of the information input terminal

[0327] When a user launches an application on an information input terminal, the terminal connects to a central server via a communication network. The user can then input their physiological and psychological state through an interface provided via prompts. This input includes text data and selections from multiple-choice options.

[0328] Operation of the central server and emotion engine

[0329] The central server receives user input data from information input terminals and analyzes it using an emotion engine. The emotion engine recognizes the user's emotions based on text analysis and choices, and generates a result. This analysis result is stored in a database and simultaneously sent to the information input terminal as user-appropriate feedback.

[0330] Operation of other information input terminals

[0331] Other information input terminals can receive sentiment analysis results from authorized users and display notifications on their screens. Based on this information, recipients can provide appropriate feedback or replies to the sender, thereby deepening communication.

[0332] Specific example

[0333] For example, if user A uses an information input terminal in the evening and enters "I feel a little anxious today," the emotion engine analyzes the keyword "anxiety" and recognizes the emotional state as "anxiety." The analysis result is sent to user A as a feedback message saying, "You might need to relax today." At the same time, authorized family member B's terminal is notified that user A is feeling "a little anxious today," and family member B can respond by sending a message such as, "Shall we talk?"

[0334] Through this system, users can recognize and share their own emotions with others, enabling communication that respects each other's feelings and fostering richer relationships.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] The user launches the application on an information input terminal and establishes a connection with the central server via the communication network.

[0338] Step 2:

[0339] The terminal receives prompts from a central server and displays an interface for the user to input their physiological and psychological state.

[0340] Step 3:

[0341] The user follows the prompts, enters their physical condition and feelings into the text box, and presses the submit button.

[0342] Step 4:

[0343] The device sends user input data to the server. This data is used for processing by the emotion engine.

[0344] Step 5:

[0345] The server passes the received user data to the emotion engine, which performs text analysis to recognize emotions.

[0346] Step 6:

[0347] The emotion engine generates an emotional state based on the analysis results and creates a feedback message for the user.

[0348] Step 7:

[0349] The server sends the analysis results and feedback to the information input terminal, and simultaneously transfers the same data to other authorized terminals.

[0350] Step 8:

[0351] Other data input terminals receive data from the server and display it as a notification. The recipient can then check the analysis results.

[0352] Step 9:

[0353] Communication is completed when the recipient creates a reply message appropriate to the sender's status and sends it back to the sender.

[0354] (Example 2)

[0355] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0356] In modern society, while individuals are required to accurately understand their own physiological and psychological states and take appropriate action, there is a problem in the lack of effective systems to support this. Furthermore, tools for facilitating smooth communication with others are limited, so there is a need for means to appropriately share emotions and understand each other.

[0357] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0358] In this invention, the server includes means for providing an emotion recognition function using a generative AI model that analyzes data acquired from an information processing device, means for sending appropriate feedback to the user based on the analysis results, and means for distributing the analyzed data to other information processing devices. This enables users to recognize their own emotions, share them with others, and engage in more fulfilling communication.

[0359] An "information processing device" is a device that receives user input, processes data, and exchanges information with a central control unit via a communication network.

[0360] A "central control unit" is a device that plays a central role in a system that manages data received from information processing devices and stores and distributes analysis results.

[0361] A "generative AI model" is an algorithm that utilizes artificial intelligence technology to analyze user input data and recognize their emotional state.

[0362] The "emotion recognition function" is a function that identifies the user's emotions based on the input data and analyzes their state.

[0363] "Feedback" refers to responses that include suggestions and information provided to the user based on their analyzed emotional state.

[0364] A "digital communication channel" refers to the internet and other communication paths used for sending and receiving information.

[0365] This system uses information processing equipment, a central control unit, and digital communication channels to analyze the user's physiological and psychological state and provide feedback. The overall system aims to accurately recognize the user's emotions and facilitate appropriate communication.

[0366] Terminal operation

[0367] The user launches a dedicated application on an information processing device (such as a smartphone or tablet) and inputs information about their physiological and psychological state. This information can be provided through the input interface in text or multiple-choice format. For example, the user might input, "I don't feel motivated today."

[0368] Server operation

[0369] The server receives data transmitted from the information processing device and analyzes it using an emotion recognition function based on a generative AI model. The generative AI model performs text analysis to identify the user's emotions. The identified emotions are used as basic data to generate corresponding feedback messages. For example, it might generate feedback such as, "We recommend taking a break to help you relax."

[0370] Integration with other devices

[0371] The server also transmits the analysis results to other authorized information processing devices. These other devices (such as those of family or friends) can display the results on their screens and respond to the user's status. For example, a family member could send a message via their device saying, "Let's talk tonight."

[0372] Specific example

[0373] If a user types "I'm feeling a little anxious today" in the evening, the system recognizes the emotion of "anxiety" and immediately provides feedback to the user saying, "You might need to relax today." Additionally, family members' information devices are notified that "the user is feeling anxious," allowing them to respond with an encouraging message such as, "It's okay, we'll get through this together."

[0374] Examples of prompts include simple question-based calls such as, "Please tell me how you're feeling right now." Based on the user's response to this prompt, the generative AI model analyzes the emotions and generates feedback.

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

[0376] Step 1:

[0377] The user launches an application on the information processing device and inputs their physiological and psychological state according to the prompts. The user enters the text data "I feel a little anxious today" into the input interface. This input data is stored on the information processing device and transmitted to the server via a digital communication channel.

[0378] Step 2:

[0379] The server inputs the received text data into a generative AI model and begins sentiment analysis. The generative AI model uses a language processing algorithm to analyze the text data in order to identify the emotion "anxiety." This analysis identifies the user's emotional state as "anxiety."

[0380] Step 3:

[0381] The server generates a feedback message based on the analysis results. For the emotional state "anxiety," it generates the text, "We recommend taking a short break to help you relax." This feedback message is then tailored for the user and sent to the information processing device.

[0382] Step 4:

[0383] The device receives feedback messages from the server and displays them on the user's screen. The user can review the feedback and take action based on it. For example, the user might take time to relax as recommended.

[0384] Step 5:

[0385] The server also sends the sentiment analysis results to other authorized information processing devices. This process involves privacy-conscious data transfer, and the data is received by devices belonging to family members or close friends. The receiving devices are notified that "the user is feeling anxious" and are prepared to respond.

[0386] Step 6:

[0387] Based on the analysis information received by other information processing devices, the owner can create a reply message. For example, if a family member types and sends the message "It's okay, let's do our best together," that message will immediately arrive on the user's device and be displayed on the user's screen.

[0388] (Application Example 2)

[0389] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0390] In traditional care settings, it was difficult to accurately understand the emotional state of users, resulting in an inability to provide care focused on individual users. Furthermore, insufficient information sharing between facility staff and users' families led to a lack of effective communication necessary to maintain users' mental health. This presented a challenge in improving users' Quality of Life (QOL).

[0391] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0392] In this invention, the server includes means for an information acquisition device to exchange information with a central processing unit via an information transmission system, means for the central processing unit to store the user's physical and mental state data received from the information acquisition device, means for transmitting the stored data to other authorized information acquisition devices, and means for recognizing the user's emotions using an emotion analysis device and generating an appropriate response. This makes it easier for care staff to grasp the user's emotional state in a timely manner and provide individualized care. Furthermore, by sharing the emotional state with the user's family, it becomes possible to build a close cooperative system between the home and the facility.

[0393] An "information acquisition device" is a device that has the function of inputting and acquiring data from users and transmitting it to a central processing unit through an information transmission system.

[0394] An "information transmission system" is a means of communication that facilitates the exchange of data between an information acquisition device and a central processing unit.

[0395] A "central processing unit" is a data processing unit that manages the physical and mental state of users by storing and processing received data.

[0396] "Physical and mental status data" refers to information about the user's physical health and emotional state, and is important indicator data in caregiving.

[0397] A "means of storage" refers to a mechanism for saving received data so that it can be used or analyzed later.

[0398] An "emotion analysis device" is a system that analyzes acquired data to identify the user's emotions.

[0399] An "appropriate response" is specific and helpful feedback provided to the user or their stakeholders, generated based on the results of sentiment analysis.

[0400] To implement this invention, it is a prerequisite that an information acquisition device, such as a smartphone or tablet, be used in a nursing care facility. These devices provide an interface for inputting the daily physical and mental condition of the users. The information acquisition device is connected to a central processing unit (server) via Wi-Fi or mobile data communication. The server uses web server software such as Apache or Nginx to receive and process the data.

[0401] On the server, received data is stored in a database such as MySQL or PostgreSQL. This data is analyzed using a sentiment analysis device, specifically a natural language processing model built in Python. For example, the Google Cloud Natural Language API is used to identify emotions from user input. The resulting analysis results are then used to generate feedback as an appropriate response for the user and related parties.

[0402] As feedback, if a user's mental state is analyzed as "anxious," a message such as "How about going for a walk to relax?" may be generated. Additionally, information such as "The user seems to be feeling a little anxious" is shared with the user's family. This facilitates close information sharing between care staff and family, aiming to improve the user's quality of life (QOL).

[0403] As a concrete example, here is an example of a prompt: "What emotion do you feel from this sentence?: I feel a little lonely this morning." This allows the generative AI model to extract emotions from the target sentence and provide appropriate feedback.

[0404] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0405] Step 1:

[0406] The user inputs their physical and mental state into the interface using an information acquisition device. This input is in text format or multiple-choice format. The input data is transmitted to the server via an information transmission system.

[0407] Step 2:

[0408] The server receives data transmitted from the information acquisition device. This data is first validated on the server to check if it is valid. Once validation is complete, the data becomes input data that is stored in the database.

[0409] Step 3:

[0410] The server sends the stored data to the emotion analyzer. The emotion analyzer uses a Python-based natural language processing model, such as the Google Cloud Natural Language API, to analyze the emotions from the input data. This analysis identifies the mental state that the data represents (e.g., reassurance, anxiety, loneliness).

[0411] Step 4:

[0412] Based on the results of the emotion analysis, the server generates appropriate feedback messages. For example, if "loneliness" is identified, a message such as "Try an activity to refresh yourself" will be generated as feedback. This feedback aims to encourage beneficial actions from the user.

[0413] Step 5:

[0414] The server sends the generated feedback message to the information acquisition device. Users can visually check the feedback message on their own devices, which can serve as a starting point for considering appropriate actions.

[0415] Step 6:

[0416] Simultaneously with step 5, the server also transmits the analysis results to other information acquisition devices authorized by the server. This data is shared with facility staff and family members, enabling them to provide support based on an understanding of the user's current situation.

[0417] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0418] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0419] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0420] [Third Embodiment]

[0421] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0422] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0423] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0424] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0425] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0426] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0427] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0428] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0429] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0430] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0431] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0432] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0433] This invention relates to a system for managing and sharing information about a user's physiological and psychological state, using an information input terminal, a central server, and a communication network. This system provides an environment in which users can easily record their own psychological and physiological information on a daily basis and share it with authorized third parties.

[0434] Operation of the information input terminal

[0435] The system is started when the user operates an information input terminal and launches an application or software. The information input terminal establishes an online connection via a communication network to access the central server. After startup, the terminal provides the user with an interface for inputting their current physiological and psychological state. This interface prompts the user with specific questions to encourage input.

[0436] Central server operation

[0437] Data transmitted from information input terminals is received by a central server. The server appropriately organizes and analyzes the received data and stores it in a database. This stored data is then transmitted to other authorized information input terminals based on privacy settings and permission lists. The server uses generative AI to adjust the content of prompts and the scope of data sharing.

[0438] Operation of other information input terminals

[0439] Other data input terminals will receive data sent from the central server only if authorized. This data will be displayed as a notification on the terminal, and the recipient can view its contents. The recipient can also send messages or feedback to the sender based on the received data.

[0440] Specific example

[0441] For example, suppose user A uses an information input terminal in the morning to input their physical condition and mood as "slightly tired" and sends it. The central server receives this information and sends it to the terminals of friends and family members that user A has authorized. The recipient's terminal displays a notification saying, "It seems that user A is slightly tired." The recipient can check this information and, if necessary, send a response message such as, "Don't push yourself today, get some rest." In this way, users can communicate their condition to those around them in a natural manner, and communication is facilitated.

[0442] This system can strengthen connections between users, potentially reducing feelings of loneliness and improving overall well-being.

[0443] The following describes the processing flow.

[0444] Step 1:

[0445] The user launches the application on the information input terminal and establishes a connection to the server.

[0446] Step 2:

[0447] The terminal receives prompts from the server and displays an interface for the user to input their current physiological and psychological state.

[0448] Step 3:

[0449] The user follows the prompts to enter their physical condition and mood, and then presses the submit button.

[0450] Step 4:

[0451] The terminal transmits the user's input data to a central server via the communication network.

[0452] Step 5:

[0453] The server receives the data and stores it in the database. It also verifies the destination of the data based on permission settings.

[0454] Step 6:

[0455] The server prepares to send user data to other authorized data entry terminals and then sends it.

[0456] Step 7:

[0457] Other data input terminals receive data from the server and display it as a notification. The recipient can then view the data.

[0458] Step 8:

[0459] The recipient can compose and send a reply message to the sender as needed. The communication is completed by the recipient's action.

[0460] (Example 1)

[0461] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0462] In modern society, appropriately understanding an individual's physiological and psychological state and sharing it with a trusted third party as needed is crucial for health management and mental support. However, existing information sharing systems have problems such as difficulty in providing appropriate prompts to users and insufficient consideration of privacy. This invention aims to provide an information sharing system that balances appropriate communication with privacy protection.

[0463] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0464] In this invention, the server includes means for communicating with main memory via a communication path, means for storing information about the user's physiological and psychological state received from an information processing device, and means for transferring this information to other authorized information processing devices. This enables the user to record their state in detail on a daily basis and share it with third parties in a secure and trusted manner.

[0465] An "information processing device" is a device used for inputting, processing, and outputting data, and is a device that can generate and transmit information through user operation.

[0466] A "communication path" is a network infrastructure used to send and receive information, and is a means of connecting information processing equipment and main memory.

[0467] "Main memory" refers to a central control unit that receives information transmitted from information processing devices, organizes and manages it, and transfers it to other information processing devices as needed.

[0468] "Physiological state" refers to information about the user's physical condition, and is a general term for data indicating physical condition, fatigue level, and health status.

[0469] "Psychological state" refers to information about the user's mental state and emotions, and is a general term for data indicating mood, stress levels, and emotional changes.

[0470] A "guidance message" is a text or audio message designed to guide users through the information input process, and is a set of instructions generated to facilitate appropriate information gathering.

[0471] A "response message" is a message generated as a reply based on information received from another information processing device, and serves as a means of communication for dialogue with the sender.

[0472] This invention relates to a system for managing and sharing information about a user's physiological and psychological state using an information processing device, a main memory, and a communication path. This system provides an environment in which users can easily record their own state in their daily lives and share information with trusted third parties.

[0473] Operation of the information processing device

[0474] Users can begin using the system by operating the information processing device and launching a dedicated application. The information processing device is equipped with a user interface to facilitate input regarding the user's state, and prompt messages are displayed to the user. For example, a question such as "How are you feeling this morning?" may be displayed, and the user will input using the keyboard or microphone.

[0475] Operation of main memory

[0476] Data input by the information processing device is transmitted to the main memory via a communication path. The main memory stores the received data and analyzes it using a generative AI model. This analysis extracts trends and characteristics from the data, which are then used to generate relevant prompts and notifications.

[0477] Sharing information

[0478] The analyzed data is transferred to other authorized information processing devices based on the user's pre-configured privacy settings and allowlist. This ensures that information transmitted by the user is shared with third parties to an appropriate extent, and the receiving information processing device will display a notification.

[0479] Specific example

[0480] For example, a user might input "I'm a little tired today" into the information processing device. This information is sent to the main memory, analyzed by a generating AI, and then a notification is sent to family and friends authorized by the user stating, "The user seems a little tired." Upon receiving this notification, family members can reply to the user with a warm message such as, "Don't push yourself today, get some rest."

[0481] Thus, the present invention aims to promote communication among users and strengthen social connections by providing a function to safely and easily manage the user's status and share information with trusted third parties.

[0482] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0483] Step 1:

[0484] When a user launches an information input application, the terminal establishes a connection with the server via a communication path. At this point, the application displays an initial screen and launches the user interface in preparation for input. Input is prompted by a prompt message, such as "How are you feeling this morning?". This supports both voice and text input. The user's response is then sent to the server in the next step.

[0485] Step 2:

[0486] The terminal transmits information about the user's physiological and psychological state to the server. The input data is in the form of text or audio, which is digitized and transmitted. The server receives this data and performs preprocessing to store it in a database. The data is stored with a time stamp in preparation for later analysis.

[0487] Step 3:

[0488] The server analyzes the information stored in the database using a generative AI model. The input for the analysis is all state data obtained from the user, which is used to extract psychological trends and patterns of state changes. The generative AI model outputs conclusions such as "You need to relax," and establishes the basis for generating additional prompts or notifications as needed.

[0489] Step 4:

[0490] The server selects authorized devices based on the analysis results and notifies other information processing devices. The selection of recipients is based on the privacy settings set by the data inputter. The notification is sent as text containing the analysis results, and may include information such as "The user appears to be somewhat fatigued."

[0491] Step 5:

[0492] Other information processing devices receive notifications sent from the server and display them to the user. After the received data is displayed on the device, it becomes input for the recipient to generate a response message as needed. By entering a message on the terminal, a reply is made to the sender, and digital communication is established.

[0493] (Application Example 1)

[0494] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0495] In an aging society, there is a need to appropriately manage the physiological and psychological states of residents in care settings and provide information to medical professionals and relatives in real time. However, conventional methods result in delays in information transmission, making it difficult to respond quickly to changes in residents' conditions. Therefore, a system is needed that can accurately grasp the health status of residents and enable prompt responses.

[0496] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0497] In this invention, the server includes means for storing biological and psychological state information from an information input device, means for transmitting the stored information to other authorized information input devices, and means for tracking the user's condition in a care setting and notifying authorized medical personnel or relatives. This enables real-time monitoring of the health status of residents in care facilities, allowing for rapid information provision and response.

[0498] An "information input device" is a device that allows a user to input their physiological and psychological state and transmit it to a central control unit via a communication infrastructure.

[0499] "Communication infrastructure" refers to the network infrastructure used by information input devices and central control units to send and receive data.

[0500] A "central control unit" is a server that stores received physiological and psychological state information and transmits appropriate information to other authorized information input devices.

[0501] "Physiological state" refers to information about the user's physical health, including their physical condition and vital signs.

[0502] "Psychological state" refers to information about the user's mental health, including mood and emotions.

[0503] "Means of storage" refers to the function of the central control unit saving the information it receives to a database or storage.

[0504] "Means of transmission" refers to the function of appropriately transferring stored information to other authorized information input devices.

[0505] "Means of visualization" refers to a function that displays information received by other information input devices in a format that the user can verify.

[0506] "Tracking" is the process of continuously recording and analyzing changes in a user's physiological and psychological state.

[0507] "Notification means" refers to an information transmission function that informs authorized medical professionals or family members of changes in the user's condition.

[0508] This invention is a system for managing the physiological and psychological state of residents in care settings in real time and promptly notifying relevant medical professionals and relatives. The system includes an information input device, a communication infrastructure, and a central control unit.

[0509] The information input device allows residents and care staff to input physiological and psychological conditions, such as the resident's physical condition and mood, using smartphones or tablets. The input data is transmitted to the central control unit via a communication infrastructure. The central control unit stores the received data in a database and performs analysis based on specific conditions. It also has a function to notify authorized medical professionals and relatives of changes in the resident's condition.

[0510] The implementation of this system will utilize an internet connection as the communication infrastructure, software for database management (such as MySQL or PostgreSQL), Python as the programming language, and the Requests library for communication.

[0511] For example, if resident A enters "I'm a little tired," that information is sent to the central control unit, which immediately notifies medical staff and A's relatives. This allows for a quick response to changes in condition and the provision of appropriate care.

[0512] An example of an input prompt for the generating AI model is, "Please tell me how to record the physiological and psychological state of residents in a nursing home in real time and notify the necessary stakeholders." This concisely illustrates the function and purpose of the system.

[0513] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0514] Step 1:

[0515] The user activates the information input device and inputs their physiological and psychological state from the application screen. Specifically, this input is information about the user's physical condition and mood at that time. The information input device collects this data and prepares it to be transmitted to the central control unit via the communication infrastructure. In this step, the flow is: input data = user's physiological and psychological state, output data = prepared transmission data.

[0516] Step 2:

[0517] The terminal transmits data to the central control unit via the communication infrastructure. The communication infrastructure uses an internet connection to transfer data accurately and quickly. The server verifies the received data and confirms that it is in the correct format. In this step, the input data is physiological and psychological state data from the terminal, and the output data is valid data on the server.

[0518] Step 3:

[0519] The server stores the received data in the database. During this process, the data on the server is organized chronologically to prepare for later analysis. Furthermore, the data is appropriately encrypted to protect privacy information. In this step, the input data is the data received by the server, and the output data is the organized data stored in the database.

[0520] Step 4:

[0521] The server analyzes stored data and generates alerts based on specific conditions. For example, if a user enters "I am very tired," an alert is issued based on that information and pre-configured rules. In this step, the input data is physiological and psychological state data in the database, and the output data is the generated alert.

[0522] Step 5:

[0523] The server generates alerts and notifies authorized healthcare professionals and family members. These notifications are sent via email or in-app notifications to encourage prompt action. The notifications include details of the user's status, allowing stakeholders to immediately consider necessary responses. In this step, the input data is the generated alert, and the output data is the notification to the authorized control device.

[0524] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0525] This invention is a system that utilizes an emotion engine in addition to an information input terminal, a central server, and a communication network, and aims to evaluate the user's physiological and psychological state and provide deeper insights. This system facilitates smooth communication, enabling users to understand their own emotions in their daily lives and share them with others.

[0526] Operation of the information input terminal

[0527] When a user launches an application on an information input terminal, the terminal connects to a central server via a communication network. The user can then input their physiological and psychological state through an interface provided via prompts. This input includes text data and selections from multiple-choice options.

[0528] Operation of the central server and emotion engine

[0529] The central server receives user input data from information input terminals and analyzes it using an emotion engine. The emotion engine recognizes the user's emotions based on text analysis and choices, and generates a result. This analysis result is stored in a database and simultaneously sent to the information input terminal as user-appropriate feedback.

[0530] Operation of other information input terminals

[0531] Other information input terminals can receive sentiment analysis results from authorized users and display notifications on their screens. Based on this information, recipients can provide appropriate feedback or replies to the sender, thereby deepening communication.

[0532] Specific example

[0533] For example, if user A uses an information input terminal in the evening and enters "I feel a little anxious today," the emotion engine analyzes the keyword "anxiety" and recognizes the emotional state as "anxiety." The analysis result is sent to user A as a feedback message saying, "You might need to relax today." At the same time, authorized family member B's terminal is notified that user A is feeling "a little anxious today," and family member B can respond by sending a message such as, "Shall we talk?"

[0534] Through this system, users can recognize and share their own emotions with others, enabling communication that respects each other's feelings and fostering richer relationships.

[0535] The following describes the processing flow.

[0536] Step 1:

[0537] The user launches the application on an information input terminal and establishes a connection with the central server via the communication network.

[0538] Step 2:

[0539] The terminal receives prompts from a central server and displays an interface for the user to input their physiological and psychological state.

[0540] Step 3:

[0541] The user follows the prompts, enters their physical condition and feelings into the text box, and presses the submit button.

[0542] Step 4:

[0543] The device sends user input data to the server. This data is used for processing by the emotion engine.

[0544] Step 5:

[0545] The server passes the received user data to the emotion engine, which performs text analysis to recognize emotions.

[0546] Step 6:

[0547] The emotion engine generates an emotional state based on the analysis results and creates a feedback message for the user.

[0548] Step 7:

[0549] The server sends the analysis results and feedback to the information input terminal, and simultaneously transfers the same data to other authorized terminals.

[0550] Step 8:

[0551] Other data input terminals receive data from the server and display it as a notification. The recipient can then check the analysis results.

[0552] Step 9:

[0553] Communication is completed when the recipient creates a reply message appropriate to the sender's status and sends it back to the sender.

[0554] (Example 2)

[0555] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0556] In modern society, while individuals are required to accurately understand their own physiological and psychological states and take appropriate action, there is a problem in the lack of effective systems to support this. Furthermore, tools for facilitating smooth communication with others are limited, so there is a need for means to appropriately share emotions and understand each other.

[0557] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0558] In this invention, the server includes means for providing an emotion recognition function using a generative AI model that analyzes data acquired from an information processing device, means for sending appropriate feedback to the user based on the analysis results, and means for distributing the analyzed data to other information processing devices. This enables users to recognize their own emotions, share them with others, and engage in more fulfilling communication.

[0559] An "information processing device" is a device that receives user input, processes data, and exchanges information with a central control unit via a communication network.

[0560] A "central control unit" is a device that plays a central role in a system that manages data received from information processing devices and stores and distributes analysis results.

[0561] A "generative AI model" is an algorithm that utilizes artificial intelligence technology to analyze user input data and recognize their emotional state.

[0562] The "emotion recognition function" is a function that identifies the user's emotions based on the input data and analyzes their state.

[0563] "Feedback" refers to responses that include suggestions and information provided to the user based on their analyzed emotional state.

[0564] A "digital communication channel" refers to the internet and other communication paths used for sending and receiving information.

[0565] This system uses information processing equipment, a central control unit, and digital communication channels to analyze the user's physiological and psychological state and provide feedback. The overall system aims to accurately recognize the user's emotions and facilitate appropriate communication.

[0566] Terminal operation

[0567] The user launches a dedicated application on an information processing device (such as a smartphone or tablet) and inputs information about their physiological and psychological state. This information can be provided through the input interface in text or multiple-choice format. For example, the user might input, "I don't feel motivated today."

[0568] Server operation

[0569] The server receives data transmitted from the information processing device and analyzes it using an emotion recognition function based on a generative AI model. The generative AI model performs text analysis to identify the user's emotions. The identified emotions are used as basic data to generate corresponding feedback messages. For example, it might generate feedback such as, "We recommend taking a break to help you relax."

[0570] Integration with other devices

[0571] The server also transmits the analysis results to other authorized information processing devices. These other devices (such as those of family or friends) can display the results on their screens and respond to the user's status. For example, a family member could send a message via their device saying, "Let's talk tonight."

[0572] Specific example

[0573] If a user types "I'm feeling a little anxious today" in the evening, the system recognizes the emotion of "anxiety" and immediately provides feedback to the user saying, "You might need to relax today." Additionally, family members' information devices are notified that "the user is feeling anxious," allowing them to respond with an encouraging message such as, "It's okay, we'll get through this together."

[0574] Examples of prompts include simple question-based calls such as, "Please tell me how you're feeling right now." Based on the user's response to this prompt, the generative AI model analyzes the emotions and generates feedback.

[0575] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0576] Step 1:

[0577] The user launches an application on the information processing device and inputs their physiological and psychological state according to the prompts. The user enters the text data "I feel a little anxious today" into the input interface. This input data is stored on the information processing device and transmitted to the server via a digital communication channel.

[0578] Step 2:

[0579] The server inputs the received text data into a generative AI model and begins sentiment analysis. The generative AI model uses a language processing algorithm to analyze the text data in order to identify the emotion "anxiety." This analysis identifies the user's emotional state as "anxiety."

[0580] Step 3:

[0581] The server generates a feedback message based on the analysis results. For the emotional state "anxiety," it generates the text, "We recommend taking a short break to help you relax." This feedback message is then tailored for the user and sent to the information processing device.

[0582] Step 4:

[0583] The device receives feedback messages from the server and displays them on the user's screen. The user can review the feedback and take action based on it. For example, the user might take time to relax as recommended.

[0584] Step 5:

[0585] The server also sends the sentiment analysis results to other authorized information processing devices. This process involves privacy-conscious data transfer, and the data is received by devices belonging to family members or close friends. The receiving devices are notified that "the user is feeling anxious" and are prepared to respond.

[0586] Step 6:

[0587] Based on the analysis information received by other information processing devices, the owner can create a reply message. For example, if a family member types and sends the message "It's okay, let's do our best together," that message will immediately arrive on the user's device and be displayed on the user's screen.

[0588] (Application Example 2)

[0589] Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0590] In traditional care settings, it was difficult to accurately understand the emotional state of users, resulting in an inability to provide care focused on individual users. Furthermore, insufficient information sharing between facility staff and users' families led to a lack of effective communication necessary to maintain users' mental health. This presented a challenge in improving users' Quality of Life (QOL).

[0591] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0592] In this invention, the server includes means for an information acquisition device to exchange information with a central processing unit via an information transmission system, means for the central processing unit to store the user's physical and mental state data received from the information acquisition device, means for transmitting the stored data to other authorized information acquisition devices, and means for recognizing the user's emotions using an emotion analysis device and generating an appropriate response. This makes it easier for care staff to grasp the user's emotional state in a timely manner and provide individualized care. Furthermore, by sharing the emotional state with the user's family, it becomes possible to build a close cooperative system between the home and the facility.

[0593] An "information acquisition device" is a device that has the function of inputting and acquiring data from users and transmitting it to a central processing unit through an information transmission system.

[0594] An "information transmission system" is a means of communication that facilitates the exchange of data between an information acquisition device and a central processing unit.

[0595] A "central processing unit" is a data processing unit that manages the physical and mental state of users by storing and processing received data.

[0596] "Physical and mental status data" refers to information about the user's physical health and emotional state, and is important indicator data in caregiving.

[0597] A "means of storage" refers to a mechanism for saving received data so that it can be used or analyzed later.

[0598] An "emotion analysis device" is a system that analyzes acquired data to identify the user's emotions.

[0599] An "appropriate response" is specific and helpful feedback provided to the user or their stakeholders, generated based on the results of sentiment analysis.

[0600] To implement this invention, it is a prerequisite that an information acquisition device, such as a smartphone or tablet, be used in a nursing care facility. These devices provide an interface for inputting the daily physical and mental condition of the users. The information acquisition device is connected to a central processing unit (server) via Wi-Fi or mobile data communication. The server uses web server software such as Apache or Nginx to receive and process the data.

[0601] On the server, received data is stored in a database such as MySQL or PostgreSQL. This data is analyzed using a sentiment analysis device, specifically a natural language processing model built in Python. For example, the Google Cloud Natural Language API is used to identify emotions from user input. The resulting analysis results are then used to generate feedback as an appropriate response for the user and related parties.

[0602] As feedback, if a user's mental state is analyzed as "anxious," a message such as "How about going for a walk to relax?" may be generated. Additionally, information such as "The user seems to be feeling a little anxious" is shared with the user's family. This facilitates close information sharing between care staff and family, aiming to improve the user's quality of life (QOL).

[0603] As a concrete example, here is an example of a prompt: "What emotion do you feel from this sentence?: I feel a little lonely this morning." This allows the generative AI model to extract emotions from the target sentence and provide appropriate feedback.

[0604] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0605] Step 1:

[0606] The user inputs their physical and mental state into the interface using an information acquisition device. This input is in text format or multiple-choice format. The input data is transmitted to the server via an information transmission system.

[0607] Step 2:

[0608] The server receives data transmitted from the information acquisition device. This data is first validated on the server to check if it is valid. Once validation is complete, the data becomes input data that is stored in the database.

[0609] Step 3:

[0610] The server sends the stored data to the emotion analyzer. The emotion analyzer uses a Python-based natural language processing model, such as the Google Cloud Natural Language API, to analyze the emotions from the input data. This analysis identifies the mental state that the data represents (e.g., reassurance, anxiety, loneliness).

[0611] Step 4:

[0612] Based on the results of the emotion analysis, the server generates appropriate feedback messages. For example, if "loneliness" is identified, a message such as "Try an activity to refresh yourself" will be generated as feedback. This feedback aims to encourage beneficial actions from the user.

[0613] Step 5:

[0614] The server sends the generated feedback message to the information acquisition device. Users can visually check the feedback message on their own devices, which can serve as a starting point for considering appropriate actions.

[0615] Step 6:

[0616] Simultaneously with step 5, the server also transmits the analysis results to other information acquisition devices authorized by the server. This data is shared with facility staff and family members, enabling them to provide support based on an understanding of the user's current situation.

[0617] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0618] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0619] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0620] [Fourth Embodiment]

[0621] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0622] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0623] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0624] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0625] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0626] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0627] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0628] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0629] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0630] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0631] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0632] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0633] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0634] This invention relates to a system for managing and sharing information about a user's physiological and psychological state, using an information input terminal, a central server, and a communication network. This system provides an environment in which users can easily record their own psychological and physiological information on a daily basis and share it with authorized third parties.

[0635] Operation of the information input terminal

[0636] The system is started when the user operates an information input terminal and launches an application or software. The information input terminal establishes an online connection via a communication network to access the central server. After startup, the terminal provides the user with an interface for inputting their current physiological and psychological state. This interface prompts the user with specific questions to encourage input.

[0637] Central server operation

[0638] Data transmitted from information input terminals is received by a central server. The server appropriately organizes and analyzes the received data and stores it in a database. This stored data is then transmitted to other authorized information input terminals based on privacy settings and permission lists. The server uses generative AI to adjust the content of prompts and the scope of data sharing.

[0639] Operation of other information input terminals

[0640] Other data input terminals will receive data sent from the central server only if authorized. This data will be displayed as a notification on the terminal, and the recipient can view its contents. The recipient can also send messages or feedback to the sender based on the received data.

[0641] Specific example

[0642] For example, suppose user A uses an information input terminal in the morning to input their physical condition and mood as "slightly tired" and sends it. The central server receives this information and sends it to the terminals of friends and family members that user A has authorized. The recipient's terminal displays a notification saying, "It seems that user A is slightly tired." The recipient can check this information and, if necessary, send a response message such as, "Don't push yourself today, get some rest." In this way, users can communicate their condition to those around them in a natural manner, and communication is facilitated.

[0643] This system can strengthen connections between users, potentially reducing feelings of loneliness and improving overall well-being.

[0644] The following describes the processing flow.

[0645] Step 1:

[0646] The user launches the application on the information input terminal and establishes a connection to the server.

[0647] Step 2:

[0648] The terminal receives prompts from the server and displays an interface for the user to input their current physiological and psychological state.

[0649] Step 3:

[0650] The user follows the prompts to enter their physical condition and mood, and then presses the submit button.

[0651] Step 4:

[0652] The terminal transmits the user's input data to a central server via the communication network.

[0653] Step 5:

[0654] The server receives the data and stores it in the database. It also verifies the destination of the data based on permission settings.

[0655] Step 6:

[0656] The server prepares to send user data to other authorized data entry terminals and then sends it.

[0657] Step 7:

[0658] Other data input terminals receive data from the server and display it as a notification. The recipient can then view the data.

[0659] Step 8:

[0660] The recipient can compose and send a reply message to the sender as needed. The communication is completed by the recipient's action.

[0661] (Example 1)

[0662] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0663] In modern society, appropriately understanding an individual's physiological and psychological state and sharing it with a trusted third party as needed is crucial for health management and mental support. However, existing information sharing systems have problems such as difficulty in providing appropriate prompts to users and insufficient consideration of privacy. This invention aims to provide an information sharing system that balances appropriate communication with privacy protection.

[0664] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0665] In this invention, the server includes means for communicating with main memory via a communication path, means for storing information about the user's physiological and psychological state received from an information processing device, and means for transferring this information to other authorized information processing devices. This enables the user to record their state in detail on a daily basis and share it with third parties in a secure and trusted manner.

[0666] An "information processing device" is a device used for inputting, processing, and outputting data, and is a device that can generate and transmit information through user operation.

[0667] A "communication path" is a network infrastructure used to send and receive information, and is a means of connecting information processing equipment and main memory.

[0668] "Main memory" refers to a central control unit that receives information transmitted from information processing devices, organizes and manages it, and transfers it to other information processing devices as needed.

[0669] "Physiological state" refers to information about the user's physical condition, and is a general term for data indicating physical condition, fatigue level, and health status.

[0670] "Psychological state" refers to information about the user's mental state and emotions, and is a general term for data indicating mood, stress levels, and emotional changes.

[0671] A "guidance message" is a text or audio message designed to guide users through the information input process, and is a set of instructions generated to facilitate appropriate information gathering.

[0672] A "response message" is a message generated as a reply based on information received from another information processing device, and serves as a means of communication for dialogue with the sender.

[0673] This invention relates to a system for managing and sharing information about a user's physiological and psychological state using an information processing device, a main memory, and a communication path. This system provides an environment in which users can easily record their own state in their daily lives and share information with trusted third parties.

[0674] Operation of the information processing device

[0675] Users can begin using the system by operating the information processing device and launching a dedicated application. The information processing device is equipped with a user interface to facilitate input regarding the user's state, and prompt messages are displayed to the user. For example, a question such as "How are you feeling this morning?" may be displayed, and the user will input using the keyboard or microphone.

[0676] Operation of main memory

[0677] Data input by the information processing device is transmitted to the main memory via a communication path. The main memory stores the received data and analyzes it using a generative AI model. This analysis extracts trends and characteristics from the data, which are then used to generate relevant prompts and notifications.

[0678] Sharing information

[0679] The analyzed data is transferred to other authorized information processing devices based on the user's pre-configured privacy settings and allowlist. This ensures that information transmitted by the user is shared with third parties to an appropriate extent, and the receiving information processing device will display a notification.

[0680] Specific example

[0681] For example, a user might input "I'm a little tired today" into the information processing device. This information is sent to the main memory, analyzed by a generating AI, and then a notification is sent to family and friends authorized by the user stating, "The user seems a little tired." Upon receiving this notification, family members can reply to the user with a warm message such as, "Don't push yourself today, get some rest."

[0682] Thus, the present invention aims to promote communication among users and strengthen social connections by providing a function to safely and easily manage the user's status and share information with trusted third parties.

[0683] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0684] Step 1:

[0685] When a user launches an information input application, the terminal establishes a connection with the server via a communication path. At this point, the application displays an initial screen and launches the user interface in preparation for input. Input is prompted by a prompt message, such as "How are you feeling this morning?". This supports both voice and text input. The user's response is then sent to the server in the next step.

[0686] Step 2:

[0687] The terminal transmits information about the user's physiological and psychological state to the server. The input data is in the form of text or audio, which is digitized and transmitted. The server receives this data and performs preprocessing to store it in a database. The data is stored with a time stamp in preparation for later analysis.

[0688] Step 3:

[0689] The server analyzes the information stored in the database using a generative AI model. The input for the analysis is all state data obtained from the user, which is used to extract psychological trends and patterns of state changes. The generative AI model outputs conclusions such as "You need to relax," and establishes the basis for generating additional prompts or notifications as needed.

[0690] Step 4:

[0691] The server selects authorized devices based on the analysis results and notifies other information processing devices. The selection of recipients is based on the privacy settings set by the data inputter. The notification is sent as text containing the analysis results, and may include information such as "The user appears to be somewhat fatigued."

[0692] Step 5:

[0693] Other information processing devices receive notifications sent from the server and display them to the user. After the received data is displayed on the device, it becomes input for the recipient to generate a response message as needed. By entering a message on the terminal, a reply is made to the sender, and digital communication is established.

[0694] (Application Example 1)

[0695] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0696] In an aging society, there is a need to appropriately manage the physiological and psychological states of residents in care settings and provide information to medical professionals and relatives in real time. However, conventional methods result in delays in information transmission, making it difficult to respond quickly to changes in residents' conditions. Therefore, a system is needed that can accurately grasp the health status of residents and enable prompt responses.

[0697] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0698] In this invention, the server includes means for storing biological and psychological state information from an information input device, means for transmitting the stored information to other authorized information input devices, and means for tracking the user's condition in a care setting and notifying authorized medical personnel or relatives. This enables real-time monitoring of the health status of residents in care facilities, allowing for rapid information provision and response.

[0699] An "information input device" is a device that allows a user to input their physiological and psychological state and transmit it to a central control unit via a communication infrastructure.

[0700] "Communication infrastructure" refers to the network infrastructure used by information input devices and central control units to send and receive data.

[0701] A "central control unit" is a server that stores received physiological and psychological state information and transmits appropriate information to other authorized information input devices.

[0702] "Physiological state" refers to information about the user's physical health, including their physical condition and vital signs.

[0703] "Psychological state" refers to information about the user's mental health, including mood and emotions.

[0704] "Means of storage" refers to the function of the central control unit saving the information it receives to a database or storage.

[0705] "Means of transmission" refers to the function of appropriately transferring stored information to other authorized information input devices.

[0706] "Means of visualization" refers to a function that displays information received by other information input devices in a format that the user can verify.

[0707] "Tracking" is the process of continuously recording and analyzing changes in a user's physiological and psychological state.

[0708] "Notification means" refers to an information transmission function that informs authorized medical professionals or family members of changes in the user's condition.

[0709] This invention is a system for managing the physiological and psychological state of residents in care settings in real time and promptly notifying relevant medical professionals and relatives. The system includes an information input device, a communication infrastructure, and a central control unit.

[0710] The information input device allows residents and care staff to input physiological and psychological conditions, such as the resident's physical condition and mood, using smartphones or tablets. The input data is transmitted to the central control unit via a communication infrastructure. The central control unit stores the received data in a database and performs analysis based on specific conditions. It also has a function to notify authorized medical professionals and relatives of changes in the resident's condition.

[0711] The implementation of this system will utilize an internet connection as the communication infrastructure, software for database management (such as MySQL or PostgreSQL), Python as the programming language, and the Requests library for communication.

[0712] For example, if resident A enters "I'm a little tired," that information is sent to the central control unit, which immediately notifies medical staff and A's relatives. This allows for a quick response to changes in condition and the provision of appropriate care.

[0713] An example of an input prompt for the generating AI model is, "Please tell me how to record the physiological and psychological state of residents in a nursing home in real time and notify the necessary stakeholders." This concisely illustrates the function and purpose of the system.

[0714] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0715] Step 1:

[0716] The user activates the information input device and inputs their physiological and psychological state from the application screen. Specifically, this input is information about the user's physical condition and mood at that time. The information input device collects this data and prepares it to be transmitted to the central control unit via the communication infrastructure. In this step, the flow is: input data = user's physiological and psychological state, output data = prepared transmission data.

[0717] Step 2:

[0718] The terminal transmits data to the central control unit via the communication infrastructure. The communication infrastructure uses an internet connection to transfer data accurately and quickly. The server verifies the received data and confirms that it is in the correct format. In this step, the input data is physiological and psychological state data from the terminal, and the output data is valid data on the server.

[0719] Step 3:

[0720] The server stores the received data in the database. During this process, the data on the server is organized chronologically to prepare for later analysis. Furthermore, the data is appropriately encrypted to protect privacy information. In this step, the input data is the data received by the server, and the output data is the organized data stored in the database.

[0721] Step 4:

[0722] The server analyzes stored data and generates alerts based on specific conditions. For example, if a user enters "I am very tired," an alert is issued based on that information and pre-configured rules. In this step, the input data is physiological and psychological state data in the database, and the output data is the generated alert.

[0723] Step 5:

[0724] The server generates alerts and notifies authorized healthcare professionals and family members. These notifications are sent via email or in-app notifications to encourage prompt action. The notifications include details of the user's status, allowing stakeholders to immediately consider necessary responses. In this step, the input data is the generated alert, and the output data is the notification to the authorized control device.

[0725] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0726] This invention is a system that utilizes an emotion engine in addition to an information input terminal, a central server, and a communication network, and aims to evaluate the user's physiological and psychological state and provide deeper insights. This system facilitates smooth communication, enabling users to understand their own emotions in their daily lives and share them with others.

[0727] Operation of the information input terminal

[0728] When a user launches an application on an information input terminal, the terminal connects to a central server via a communication network. The user can then input their physiological and psychological state through an interface provided via prompts. This input includes text data and selections from multiple-choice options.

[0729] Operation of the central server and emotion engine

[0730] The central server receives user input data from information input terminals and analyzes it using an emotion engine. The emotion engine recognizes the user's emotions based on text analysis and choices, and generates a result. This analysis result is stored in a database and simultaneously sent to the information input terminal as user-appropriate feedback.

[0731] Operation of other information input terminals

[0732] Other information input terminals can receive sentiment analysis results from authorized users and display notifications on their screens. Based on this information, recipients can provide appropriate feedback or replies to the sender, thereby deepening communication.

[0733] Specific example

[0734] For example, if user A uses an information input terminal in the evening and enters "I feel a little anxious today," the emotion engine analyzes the keyword "anxiety" and recognizes the emotional state as "anxiety." The analysis result is sent to user A as a feedback message saying, "You might need to relax today." At the same time, authorized family member B's terminal is notified that user A is feeling "a little anxious today," and family member B can respond by sending a message such as, "Shall we talk?"

[0735] Through this system, users can recognize and share their own emotions with others, enabling communication that respects each other's feelings and fostering richer relationships.

[0736] The following describes the processing flow.

[0737] Step 1:

[0738] The user launches the application on an information input terminal and establishes a connection with the central server via the communication network.

[0739] Step 2:

[0740] The terminal receives prompts from a central server and displays an interface for the user to input their physiological and psychological state.

[0741] Step 3:

[0742] The user follows the prompts, enters their physical condition and feelings into the text box, and presses the submit button.

[0743] Step 4:

[0744] The device sends user input data to the server. This data is used for processing by the emotion engine.

[0745] Step 5:

[0746] The server passes the received user data to the emotion engine, which performs text analysis to recognize emotions.

[0747] Step 6:

[0748] The emotion engine generates an emotional state based on the analysis results and creates a feedback message for the user.

[0749] Step 7:

[0750] The server sends the analysis results and feedback to the information input terminal, and simultaneously transfers the same data to other authorized terminals.

[0751] Step 8:

[0752] Other data input terminals receive data from the server and display it as a notification. The recipient can then check the analysis results.

[0753] Step 9:

[0754] Communication is completed when the recipient creates a reply message appropriate to the sender's status and sends it back to the sender.

[0755] (Example 2)

[0756] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0757] In modern society, while individuals are required to accurately understand their own physiological and psychological states and take appropriate action, there is a problem in the lack of effective systems to support this. Furthermore, tools for facilitating smooth communication with others are limited, so there is a need for means to appropriately share emotions and understand each other.

[0758] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0759] In this invention, the server includes means for providing an emotion recognition function using a generative AI model that analyzes data acquired from an information processing device, means for sending appropriate feedback to the user based on the analysis results, and means for distributing the analyzed data to other information processing devices. This enables users to recognize their own emotions, share them with others, and engage in more fulfilling communication.

[0760] An "information processing device" is a device that receives user input, processes data, and exchanges information with a central control unit via a communication network.

[0761] A "central control unit" is a device that plays a central role in a system that manages data received from information processing devices and stores and distributes analysis results.

[0762] A "generative AI model" is an algorithm that utilizes artificial intelligence technology to analyze user input data and recognize their emotional state.

[0763] The "emotion recognition function" is a function that identifies the user's emotions based on the input data and analyzes their state.

[0764] "Feedback" refers to responses that include suggestions and information provided to the user based on their analyzed emotional state.

[0765] A "digital communication channel" refers to the internet and other communication paths used for sending and receiving information.

[0766] This system uses information processing equipment, a central control unit, and digital communication channels to analyze the user's physiological and psychological state and provide feedback. The overall system aims to accurately recognize the user's emotions and facilitate appropriate communication.

[0767] Terminal operation

[0768] The user launches a dedicated application on an information processing device (such as a smartphone or tablet) and inputs information about their physiological and psychological state. This information can be provided through the input interface in text or multiple-choice format. For example, the user might input, "I don't feel motivated today."

[0769] Server operation

[0770] The server receives data transmitted from the information processing device and analyzes it using an emotion recognition function based on a generative AI model. The generative AI model performs text analysis to identify the user's emotions. The identified emotions are used as basic data to generate corresponding feedback messages. For example, it might generate feedback such as, "We recommend taking a break to help you relax."

[0771] Integration with other devices

[0772] The server also transmits the analysis results to other authorized information processing devices. These other devices (such as those of family or friends) can display the results on their screens and respond to the user's status. For example, a family member could send a message via their device saying, "Let's talk tonight."

[0773] Specific example

[0774] If a user types "I'm feeling a little anxious today" in the evening, the system recognizes the emotion of "anxiety" and immediately provides feedback to the user saying, "You might need to relax today." Additionally, family members' information devices are notified that "the user is feeling anxious," allowing them to respond with an encouraging message such as, "It's okay, we'll get through this together."

[0775] Examples of prompts include simple question-based calls such as, "Please tell me how you're feeling right now." Based on the user's response to this prompt, the generative AI model analyzes the emotions and generates feedback.

[0776] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0777] Step 1:

[0778] The user launches an application on the information processing device and inputs their physiological and psychological state according to the prompts. The user enters the text data "I feel a little anxious today" into the input interface. This input data is stored on the information processing device and transmitted to the server via a digital communication channel.

[0779] Step 2:

[0780] The server inputs the received text data into a generative AI model and begins sentiment analysis. The generative AI model uses a language processing algorithm to analyze the text data in order to identify the emotion "anxiety." This analysis identifies the user's emotional state as "anxiety."

[0781] Step 3:

[0782] The server generates a feedback message based on the analysis results. For the emotional state "anxiety," it generates the text, "We recommend taking a short break to help you relax." This feedback message is then tailored for the user and sent to the information processing device.

[0783] Step 4:

[0784] The device receives feedback messages from the server and displays them on the user's screen. The user can review the feedback and take action based on it. For example, the user might take time to relax as recommended.

[0785] Step 5:

[0786] The server also sends the sentiment analysis results to other authorized information processing devices. This process involves privacy-conscious data transfer, and the data is received by devices belonging to family members or close friends. The receiving devices are notified that "the user is feeling anxious" and are prepared to respond.

[0787] Step 6:

[0788] Based on the analysis information received by other information processing devices, the owner can create a reply message. For example, if a family member types and sends the message "It's okay, let's do our best together," that message will immediately arrive on the user's device and be displayed on the user's screen.

[0789] (Application Example 2)

[0790] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0791] In traditional care settings, it was difficult to accurately understand the emotional state of users, resulting in an inability to provide care focused on individual users. Furthermore, insufficient information sharing between facility staff and users' families led to a lack of effective communication necessary to maintain users' mental health. This presented a challenge in improving users' Quality of Life (QOL).

[0792] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0793] In this invention, the server includes means for an information acquisition device to exchange information with a central processing unit via an information transmission system, means for the central processing unit to store the user's physical and mental state data received from the information acquisition device, means for transmitting the stored data to other authorized information acquisition devices, and means for recognizing the user's emotions using an emotion analysis device and generating an appropriate response. This makes it easier for care staff to grasp the user's emotional state in a timely manner and provide individualized care. Furthermore, by sharing the emotional state with the user's family, it becomes possible to build a close cooperative system between the home and the facility.

[0794] An "information acquisition device" is a device that has the function of inputting and acquiring data from users and transmitting it to a central processing unit through an information transmission system.

[0795] An "information transmission system" is a means of communication that facilitates the exchange of data between an information acquisition device and a central processing unit.

[0796] A "central processing unit" is a data processing unit that manages the physical and mental state of users by storing and processing received data.

[0797] "Physical and mental status data" refers to information about the user's physical health and emotional state, and is important indicator data in caregiving.

[0798] A "means of storage" refers to a mechanism for saving received data so that it can be used or analyzed later.

[0799] An "emotion analysis device" is a system that analyzes acquired data to identify the user's emotions.

[0800] An "appropriate response" is specific and helpful feedback provided to the user or their stakeholders, generated based on the results of sentiment analysis.

[0801] To implement this invention, it is a prerequisite that an information acquisition device, such as a smartphone or tablet, be used in a nursing care facility. These devices provide an interface for inputting the daily physical and mental condition of the users. The information acquisition device is connected to a central processing unit (server) via Wi-Fi or mobile data communication. The server uses web server software such as Apache or Nginx to receive and process the data.

[0802] On the server, received data is stored in a database such as MySQL or PostgreSQL. This data is analyzed using a sentiment analysis device, specifically a natural language processing model built in Python. For example, the Google Cloud Natural Language API is used to identify emotions from user input. The resulting analysis results are then used to generate feedback as an appropriate response for the user and related parties.

[0803] As feedback, if a user's mental state is analyzed as "anxious," a message such as "How about going for a walk to relax?" may be generated. Additionally, information such as "The user seems to be feeling a little anxious" is shared with the user's family. This facilitates close information sharing between care staff and family, aiming to improve the user's quality of life (QOL).

[0804] As a concrete example, here is an example of a prompt: "What emotion do you feel from this sentence?: I feel a little lonely this morning." This allows the generative AI model to extract emotions from the target sentence and provide appropriate feedback.

[0805] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0806] Step 1:

[0807] The user inputs their physical and mental state into the interface using an information acquisition device. This input is in text format or multiple-choice format. The input data is transmitted to the server via an information transmission system.

[0808] Step 2:

[0809] The server receives data transmitted from the information acquisition device. This data is first validated on the server to check if it is valid. Once validation is complete, the data becomes input data that is stored in the database.

[0810] Step 3:

[0811] The server sends the stored data to the emotion analyzer. The emotion analyzer uses a Python-based natural language processing model, such as the Google Cloud Natural Language API, to analyze the emotions from the input data. This analysis identifies the mental state that the data represents (e.g., reassurance, anxiety, loneliness).

[0812] Step 4:

[0813] Based on the results of the emotion analysis, the server generates appropriate feedback messages. For example, if "loneliness" is identified, a message such as "Try an activity to refresh yourself" will be generated as feedback. This feedback aims to encourage beneficial actions from the user.

[0814] Step 5:

[0815] The server sends the generated feedback message to the information acquisition device. Users can visually check the feedback message on their own devices, which can serve as a starting point for considering appropriate actions.

[0816] Step 6:

[0817] Simultaneously with step 5, the server also transmits the analysis results to other information acquisition devices authorized by the server. This data is shared with facility staff and family members, enabling them to provide support based on an understanding of the user's current situation.

[0818] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0819] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0820] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0821] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0822] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0823] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0824] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0825] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0826] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0827] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0828] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0829] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0830] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0831] 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.

[0832] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0833] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0834] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0835] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0836] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0837] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0838] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0839] The following is further disclosed regarding the embodiments described above.

[0840] (Claim 1)

[0841] The means by which the information input terminal communicates with the central server via a communication network,

[0842] The central server includes means for storing the user's physiological and psychological state data received from the information input terminal,

[0843] A means for transmitting stored data to other authorized information input terminals,

[0844] A means of displaying data received by other information input terminals,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] The system according to claim 1, which has means for generating a prompt for the user when the central server is activated as an interface that prompts the input of data received from an information input terminal.

[0848] (Claim 3)

[0849] The system according to claim 1, wherein another information input terminal has means for generating a reply message to initiate communication based on the received data.

[0850] "Example 1"

[0851] (Claim 1)

[0852] The information processing device has means for communicating with the main memory via a communication path,

[0853] The main memory includes means for storing information about the user's physiological and psychological state received from the information processing device,

[0854] Means for transferring stored information to other authorized information processing devices,

[0855] A means for displaying information received by another information processing device,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, which has means for generating a guidance message for the user when the main memory is activated as a user interface that prompts the user to input information received from an information processing device.

[0859] (Claim 3)

[0860] The system according to claim 1, wherein another information processing device has means for generating a response message to initiate a dialogue based on the received information.

[0861] "Application Example 1"

[0862] (Claim 1)

[0863] The information input device has means for communicating with the central control unit via a communication infrastructure,

[0864] The central control unit includes means for storing the user's biological and psychological state information received from the information input device,

[0865] Means for transmitting stored information to other authorized information input devices,

[0866] A means of visualizing information received by other information input devices,

[0867] In care settings, a means of tracking the user's physiological and psychological state and notifying authorized medical professionals and relatives,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, which has means for generating guidance for the user when the central control unit is activated as an interface that prompts the input of information received from an information input device.

[0871] (Claim 3)

[0872] The system according to claim 1, wherein another information input device has means for generating a reply message to initiate communication based on the received information.

[0873] "Example 2 of combining an emotion engine"

[0874] (Claim 1)

[0875] The information processing device has means for exchanging information with the central control unit via a digital communication channel,

[0876] The central control unit includes means for storing data indicating the user's physiological and psychological state obtained from the information processing device,

[0877] Means for distributing stored data to other authorized information processing devices,

[0878] A means for displaying data received by another information processing device,

[0879] A means of providing an emotion recognition function that analyzes user input data using a generative AI model,

[0880] A means of sending feedback based on analyzed emotions and providing information appropriate to the user's state,

[0881] A system that includes this.

[0882] (Claim 2)

[0883] The system according to claim 1, wherein the central control unit has means for generating a prompt message that prompts the user to input based on data acquired from the information processing device.

[0884] (Claim 3)

[0885] The system according to claim 1, wherein another information processing device has means for generating a response message to initiate interaction based on received data.

[0886] "Application example 2 when combining with an emotional engine"

[0887] (Claim 1)

[0888] The information acquisition device has means for exchanging information with the central processing unit via an information transmission system,

[0889] The central processing unit includes means for storing the user's physical and mental state data received from the information acquisition device,

[0890] Means for transmitting stored data to other authorized information acquisition devices,

[0891] A means for visually displaying data received by another information acquisition device,

[0892] A means for recognizing a user's emotions using an emotion analysis device and generating an appropriate response,

[0893] A system that includes this.

[0894] (Claim 2)

[0895] The system according to claim 1, which has means for generating a signal to the user when the central processing unit is activated as a display screen prompting input of data received from an information acquisition device, and further means for providing appropriate advice to the user based on the results of emotion analysis.

[0896] (Claim 3)

[0897] The system according to claim 1, wherein the other information acquisition device has means for generating a response message to initiate a smooth conversation based on the received data, and means for recording the emotional state of the user. [Explanation of symbols]

[0898] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. The information input device has means for communicating with the central control unit via a communication infrastructure, The central control unit includes means for storing the user's biological and psychological state information received from the information input device, Means for transmitting stored information to other authorized information input devices, A means of visualizing information received by other information input devices, In care settings, a means of tracking the user's physiological and psychological state and notifying authorized medical professionals and relatives, A system that includes this.

2. The system according to claim 1, which has means for generating guidance for the user when the central control unit is activated as an interface that prompts the input of information received from an information input device.

3. The system according to claim 1, wherein another information input device has means for generating a reply message to initiate communication based on the received information.

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