system

Abstract

We provide the system. [Solution] Means of acquiring personal information, A means of searching and retrieving past information from a database, A means of generating a dialogue based on acquired past information, Means for analyzing and reporting recorded dialogues, A means of monitoring abnormal behavior and issuing alerts, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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 an aging society, especially the care of dementia patients has become an important issue. Communicating smoothly with dementia patients is a great burden for caregivers, and with the addition of problems such as a shortage of caregivers and elderly care, the burden is further increasing. If it is difficult to maintain the emotional stability and communication of dementia patients, there is a risk of accelerating the progression of dementia and worsening the depressive state. The present invention aims to solve these problems and improve the quality of care for dementia patients.

Means for Solving the Problems

[0005] This invention collects information about a user's age and hobbies using means to acquire personal information, and searches and retrieves relevant nostalgic information from a database of past information. Based on this information, it generates a dialogue and interacts with the user using an AI agent. It also records the content of the dialogue, analyzes the data, and reports it to caregivers and relatives. Furthermore, it builds a system that provides more appropriate care by monitoring abnormal behavior and activities outside of normal activity hours and issuing alerts as needed.

[0006] "Means of acquiring personal information" refers to functions or devices used to collect personal information from users, such as age, interests, and preferences.

[0007] "Means for searching and retrieving past information from a database" refers to functions and devices that find and retrieve past information such as nostalgic images, videos, and news from a database based on the user's personal information.

[0008] "Means for generating dialogue based on acquired past information" refers to functions or devices that use searched and acquired past information to conduct dialogues in the form of conversations and questions that are likely to interest the user.

[0009] "Means for analyzing and reporting recorded dialogues" refers to functions or devices that record the content of conversations with users, analyze that information, and report it to caregivers or relatives.

[0010] "Means for monitoring abnormal behavior and issuing alerts" refers to functions or devices that detect a user's actions outside of their normal activity hours or other abnormal behavior, and send alerts to caregivers or relatives if necessary. [Brief explanation of the drawing]

[0011] [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]

[0012] 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.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] 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.

[0016] 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, etc.

[0017] 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 multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention describes a method for implementing a system that utilizes an AI agent to provide care using reminiscence therapy to dementia patients and to reduce the burden on caregivers.

[0033] This system consists of a server, a terminal, and a user interacting to provide personalized conversations based on personal information. First, the user enters personal information such as their name, age, and areas of interest through the terminal, either with their own assistance or the assistance of a caregiver. Using this information, the server searches its database for nostalgic memories and past events related to the user and generates conversational content based on them.

[0034] The device uses this generated content to present videos and images to the user while facilitating a conversation with an AI agent. The AI ​​agent adapts to the user's responses, adjusting the pace and content of the conversation. For example, it might present a video related to a pleasant travel memory the user has had in the past and ask questions such as, "Do you remember going to this place?"

[0035] The device also records the conversation and sends the information to a server. The server analyzes the received data, organizes the user's emotions and conversation topics, and generates a report to provide to the caregiver. This report allows the caregiver to better understand the user's condition and respond more appropriately.

[0036] Furthermore, the device monitors the user's activity, and if it detects abnormal behavior outside of normal activity hours, the server immediately sends an alert to the caregiver. This feature allows caregivers to take prompt and appropriate action.

[0037] Thus, this invention, by integrating reminiscence therapy with AI technology, will revolutionize the care of dementia patients and significantly reduce the burden on caregivers.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] Users register their profiles through their devices. Input is done via voice or keyboard, and includes information such as name, age, and interests.

[0041] Step 2:

[0042] The device sends the user's entered profile information to the server. The transmitted data is stored on the server in an appropriate format.

[0043] Step 3:

[0044] The server searches the database for relevant past information based on the user's profile information. Here, it selects images and videos that evoke a sense of nostalgia and match the user's hobbies and interests.

[0045] Step 4:

[0046] The server organizes the content obtained through the search and generates material for the AI ​​agent to use for dialogue. The generated content is then sent to the terminal.

[0047] Step 5:

[0048] The device displays the content sent to the user appropriately. The AI ​​agent initiates a conversation, showing images and asking questions such as, "What memories do you have of this era?"

[0049] Step 6:

[0050] Users can freely express their thoughts based on the presented content. The AI ​​agent analyzes the user's responses in real time, adjusting the content and pace of subsequent questions accordingly.

[0051] Step 7:

[0052] The device records the content of the conversation and sends it to the server, thereby accumulating conversation data.

[0053] Step 8:

[0054] The server analyzes the recorded data to determine the user's emotions and conversational tendencies. Based on the analysis results, it creates a report to provide to caregivers and relatives.

[0055] Step 9:

[0056] The terminal monitors the user's unusual behavior and nighttime activities. If an anomaly is detected, it sends an alert to the server.

[0057] Step 10:

[0058] When the server receives an alert, it immediately notifies caregivers and registered relatives to encourage a quick response.

[0059] (Example 1)

[0060] 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."

[0061] Currently, providing care for the elderly and dementia patients faces challenges such as heavy human resource demands and significant caregiver burden, making it unsustainable. Furthermore, the difficulty in providing flexible care tailored to individual patient circumstances is another challenge. There is a need to utilize information technology to address these challenges and provide more effective and efficient care.

[0062] 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.

[0063] In this invention, the server includes means for acquiring information, means for searching and retrieving information from a storage device containing the information, and means for presenting generated dialogue content and facilitating the dialogue. This makes it possible to provide personalized care that meets individual needs and to reduce the burden on caregivers.

[0064] "Means of acquiring information" refers to functions or devices for collecting individual user information, enabling the system to incorporate information entered by users.

[0065] A "storage device that stores information" refers to a database or storage device used to store information such as past events and cultural backgrounds, and has a structure that allows for easy searching and retrieval of necessary information.

[0066] "Means for generating dialogue content" refers to algorithms and software that create personalized conversation material based on the user's individual information and past data.

[0067] "Means for presenting dialogue content and facilitating dialogue" refers to user interfaces and software that present the generated conversation content to the user and facilitate effective dialogue.

[0068] "Means for processing and analyzing recorded conversations to organize and report information" refers to functions and systems that systematically record conversations with users, analyze them, and convert them into information useful to caregivers.

[0069] "Means of monitoring behavior and issuing alarms when anomalies are detected" refers to monitoring systems and alert functions that observe user behavior and immediately issue warnings when activity deviates from normal patterns.

[0070] This invention is a system designed to support the care of the elderly and dementia patients. It consists of a server, terminals, and users interacting with each other. The system aims to stimulate cognitive function through personalized dialogue based on personal information.

[0071] The server first searches its database for personal information obtained from the user. This database contains information about past events and cultural background, and the server extracts information relevant to the user. Then, the server uses a generative AI model to generate dialogue content. This prompt might include something like, "Please recall a trip you enjoyed in the past, [User's Name]."

[0072] The device presents the generated dialogue to the user along with videos and images. The dialogue is conducted by an AI agent, and the content is flexibly modified in response to the user's reactions. The AI ​​agent uses natural language processing technology to interpret the user's responses in real time and determine the next step.

[0073] The specific hardware includes a display-equipped device to visually support user interaction, a microphone, and speakers. The software will utilize a database management system, natural language processing libraries, and AI agent programs.

[0074] These settings allow users to enjoy an interactive experience through sight and sound, and enable caregivers to provide appropriate care based on the information provided by the system. The system also plays a role in facilitating a quick response by monitoring user activity and immediately detecting and notifying caregivers of any abnormalities.

[0075] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0076] Step 1:

[0077] The user enters their personal information through the device. This information includes their name, age, and areas of interest. The device receives the entered information and sends it to the server. The entered data is used as baseline information to generate individual conversation content.

[0078] Step 2:

[0079] The server searches its storage for relevant historical information based on personal information received from the user. This search process uses database queries to extract events and cultural background information highly relevant to the user. The output forms the basis for dialogue materials presented to the user.

[0080] Step 3:

[0081] The server generates dialogue content using a generative AI model based on the information obtained from the search. In this process, prompt sentences are input into the AI ​​model to create personalized dialogue content. The generated dialogue is used in subsequent interactions. The output of this step is dialogue content in the form of specific questions and comments.

[0082] Step 4:

[0083] The terminal presents the user with the dialogue content received from the server and facilitates the conversation through an AI agent. The user interacts with the presented questions and images through the microphone and speaker while viewing the screen, engaging in two-way communication. The user's responses are recorded in real time by the terminal.

[0084] Step 5:

[0085] The terminal periodically sends recorded conversation content to the server. The server analyzes the received data to organize the user's emotional state and conversational patterns. Data analysis includes sentiment analysis using natural language processing and topic modeling. The output is generated as a report for caregivers.

[0086] Step 6:

[0087] The device monitors user activity and, if abnormal behavior is detected, it communicates with the server to issue an alarm. This process utilizes a behavioral monitoring system to identify unusual patterns. If an anomaly is detected, the server automatically sends a notification to the caregiver.

[0088] (Application Example 1)

[0089] 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."

[0090] There is a need to provide effective care for dementia patients while reducing the burden on caregivers. However, conventional systems have difficulty fully addressing the individual needs of dementia patients, and caregivers have difficulty taking appropriate responses in real time. This invention aims to solve these problems and improve the quality of life for dementia patients and reduce the burden on caregivers.

[0091] 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.

[0092] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, and means for generating dialogue based on the acquired past information. This enables personalized and nostalgic experiences for dementia patients and allows caregivers to respond appropriately in real time through analyzed reports.

[0093] "Personal information" refers to information specific to each individual user, such as their age, name, and areas of interest.

[0094] "Past information" refers to information stored in a database related to the user's past events and experiences.

[0095] "Dialogue" refers to linguistic communication that takes place between dementia patients and AI agents.

[0096] "Recorded conversations" refer to conversations between an AI agent and a user that have been saved in digital format.

[0097] "Abnormal behavior" refers to actions by dementia patients that deviate significantly from their normal lifestyle patterns.

[0098] "Notification" refers to a warning or notification that the system sends to the caregiver.

[0099] A "visual device" is a device worn by the user that captures images of the surroundings in real time and processes that data.

[0100] "Visual data" refers to image and video data acquired through visual devices.

[0101] "Image recognition" is the process of identifying specific objects or landmarks from acquired visual data.

[0102] A "generative AI model" is an artificial intelligence system that automatically creates new dialogues and information based on specific input data.

[0103] This invention is a system for streamlining care for dementia patients, and its main components are a server, a terminal, and user interaction. The server collects personal information and retrieves relevant information by searching a database of past information. Based on the retrieved information, an AI agent generates a dialogue. In this process, a generative AI model is used to automatically create a highly accurate dialogue.

[0104] The device acquires visual data through visual devices such as smart glasses. This acquired data is processed using image recognition technologies such as OpenCV to help identify past information related to the current environment. Based on these results, a generated dialogue is presented to provide the user with a nostalgic experience.

[0105] For example, when a user visits a park, if the location is associated with some past experience, an overlay image will be displayed with the message, "Do you remember having a picnic in this park a long time ago? You had a wonderful day, didn't you?" Furthermore, the data analyzed by the visual device is recorded by a server and later used to create analytical reports for caregivers.

[0106] An example of a prompt message could be: "The system has detected that the user is at the following location: {Park Name}. Please generate past memories and episodes associated with this location." This allows the system to instantly provide a personalized nostalgic experience based on the user's current location.

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] Collection of personal information by servers

[0110] The server receives personal information transmitted from the user or caregiver via a terminal. This information includes the user's name, age, and areas of interest. Based on this, the server creates a profile for accessing the database. The input data is the user's personal information, and the output is profile information recorded on the server.

[0111] Step 2:

[0112] Retrieval of historical information by the server

[0113] The server uses the profile information created in Step 1 to search and retrieve relevant historical information from the database. This retrieved information serves as the foundational data for generating personalized interactions with the user. The input is the profile information, and the output is the relevant historical information. This information is used to generate the interactions.

[0114] Step 3:

[0115] Dialogue generation using generative AI models

[0116] The server uses acquired historical information as input data and generates natural language dialogue using a generative AI model. This dialogue includes nostalgic topics and memories related to the user. The generated dialogue is later presented to the user via a terminal and used as part of the AI ​​agent's conversation. The output is the generated dialogue content, with natural language processing used to select words appropriate to the user's emotions and reactions.

[0117] Step 4:

[0118] Acquisition and processing of visual data by the device

[0119] The device acquires visual data in real time using the camera sensor of smart glasses. It utilizes image recognition technologies such as OpenCV to analyze the visual data and determine the user's current environment. This analysis allows for the recognition of specific landmarks and objects. The input is visual data, and the output is information about the recognized object or location.

[0120] Step 5:

[0121] Presentation of dialogue and recognition results generated by the terminal.

[0122] The device combines the dialogue generated in step 3 with the environmental information recognized in step 4 and presents it to the user through smart glasses. This allows the user to experience personalized dialogue related to their current visual environment. The input is the generated dialogue and recognition results, and the output is the presentation of familiar dialogue content in an overlaid form.

[0123] Step 6:

[0124] Server-based recording of conversation and behavior data.

[0125] The server receives and thoroughly records conversation records and behavioral data between the user and the AI ​​agent transmitted from the terminal. This recorded data is later used to generate reports for caregivers and to detect abnormal behavior. The input is conversation records and behavioral data, and the output is stored as recorded data.

[0126] Step 7:

[0127] Server-based detection and notification of abnormal behavior

[0128] The server analyzes the behavioral data recorded in step 6 and immediately sends a notification to the caregiver if there is a deviation from the normal activity pattern. This notification allows the caregiver to take appropriate action quickly. The input is the recorded behavioral data, and the output is the notification message to the caregiver.

[0129] 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.

[0130] This invention combines an emotion engine with an AI agent system designed for the care of dementia patients, enabling flexible dialogue that responds to the user's emotions, thereby reducing the burden on caregivers and improving the quality of life for patients.

[0131] This system is built on the interaction between the server, terminal, and user, recognizing the user's emotions in real time and responding accordingly. First, the user registers basic information (name, age, hobbies, etc.) through the terminal, and this information is sent to the server. The server searches past information based on the user's information, selects nostalgic images and videos, and generates conversational content.

[0132] When interacting with a user, the device uses an emotion engine to determine the user's emotions. For example, when displaying an image or video, if the user is smiling, it is recognized as a positive emotion, and the AI ​​agent responds with something like, "Those seem like happy memories." Conversely, if the user has a troubled expression, it is recognized as a negative emotion, and the AI ​​agent asks a follow-up question such as, "Is there something bothering you?"

[0133] The emotion engine evaluates the user's emotions through their voice and facial expressions, and reflects the results on the device in real time. The device uses this data as a key to adjust the pace and content of the conversation on the spot.

[0134] Furthermore, the device records the user's conversations and sends the data to a server. The server analyzes the conversation information, including emotional data, to track the user's emotional changes and generate reports that are useful for caregivers. This allows caregivers to gain a deeper understanding of the user's mental health and provide appropriate support.

[0135] This invention, by incorporating an emotional engine, enables more integrated care for dementia patients and improves the ability to respond to individual needs. This enhances the overall effectiveness of the system and allows for the provision of higher quality care.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] The user enters their basic information using a terminal, including their name, age, and areas of interest. This information is then sent from the terminal to the server.

[0139] Step 2:

[0140] Based on the basic information received, the server searches the database for past information related to the user. It then selects images and videos that evoke nostalgia from the search results and generates interactive content.

[0141] Step 3:

[0142] The server sends the generated interactive content to the terminal. The terminal prepares to display the content in the user interface.

[0143] Step 4:

[0144] Based on instructions from the AI ​​agent, the device displays images and videos to the user and initiates a conversation. It asks questions such as, "Do you remember this picture?" to prompt the user's response.

[0145] Step 5:

[0146] Users describe their memories and feelings about the images and videos displayed on the device. The emotion engine analyzes the user's voice and facial expressions in real time to determine the user's emotions.

[0147] Step 6:

[0148] The device's emotion engine identifies the user's emotions, and if positive emotions are detected, the AI ​​agent responds with something like, "Those were great times, weren't they?" If negative emotions are detected, it asks follow-up questions such as, "Why do you feel that way?"

[0149] Step 7:

[0150] The device records the content of the conversation and the user's emotional changes. This includes voice data and emotional data. The recorded data is sent to the server.

[0151] Step 8:

[0152] The server analyzes the transmitted data and evaluates the user's emotional tendencies and conversation topics. It then compiles the results and creates a report to provide to the caregiver.

[0153] Step 9:

[0154] The device has a protocol implemented that monitors the user's activity both during and outside of their active hours, and sends an alert to the server if abnormal behavior is detected.

[0155] Step 10:

[0156] When the server receives an alert, it quickly notifies the caregiver to support immediate response.

[0157] (Example 2)

[0158] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0159] In the care of dementia patients, there is a need for systems that enable flexible dialogue that responds to the patient's emotions. However, current technology makes it difficult to appropriately adjust dialogue based on changes in the user's emotions, increasing the burden on caregivers. Furthermore, there is a challenge in rapidly generating detailed reports that include emotional data and effectively utilizing them in care.

[0160] 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.

[0161] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, means for generating dialogue using a generation algorithm based on the acquired information, means for analyzing the user's voice and facial expressions to evaluate emotions, means for adjusting the content and pace of the dialogue based on the emotion evaluation, means for analyzing the recorded dialogue to generate a report including emotion data, and means for monitoring abnormal behavior and issuing alerts. This enables flexible dialogue that responds to the user's emotions, reduces the burden on caregivers, and improves the quality of life for patients.

[0162] "Personal information" refers to basic information that can identify an individual, such as a user's name, age, and hobbies.

[0163] A "database" is a collection of information organized for the purpose of efficiently searching for and retrieving information.

[0164] A "generative algorithm" refers to a computational method used to create meaningful conversational content from specific data.

[0165] "Voice and facial expression analysis" is an analytical method for evaluating emotions based on the voice and facial expressions emitted by the user.

[0166] "Emotional evaluation" refers to the process of determining a user's current emotional state as positive, negative, etc.

[0167] "Abnormal behavior" refers to actions or reactions that deviate from the normal range of behavior and require a warning.

[0168] An "alert" refers to a warning or notification used to alert people when abnormal behavior or an emergency occurs.

[0169] This invention provides a system that enables flexible dialogue tailored to the emotions of dementia patients. This system is configured based on the interaction between a server, a terminal, and a user.

[0170] First, the user enters basic information through a terminal. This basic information includes name, age, and hobbies, which are then sent to the server. The terminal is a computer device with an intuitive and easy-to-use interface for the user.

[0171] The server searches its database for past information based on the user information it receives. The server operates on a cloud computing environment and has the capability to perform various data processing tasks. Past information includes the user's activity history and images and videos that might interest them. Using the acquired data, the server generates conversational content through an algorithm employing a generative AI model. This generative AI model utilizes the latest machine learning techniques to automatically create natural and engaging conversations.

[0172] The device uses an emotion engine to recognize and analyze the user's voice and facial expressions, evaluating their emotions in real time. This engine captures the user's facial expressions using various sensors and employs advanced image processing technology for analysis. It also utilizes speech recognition technology to determine emotions from the content of the user's words.

[0173] The device automatically adjusts the content and pace of the conversation based on the results of emotion analysis. This allows it to respond to positive emotions with "That sounds like a fun memory," and follow up with negative emotions with "Is there something bothering you?"

[0174] Furthermore, the device records the interaction with the user and sends it to the server. The server analyzes this data, including emotional data, to generate a report that tracks the user's emotional changes. This report helps caregivers understand the user's condition in detail and take appropriate action.

[0175] For example, when a user smiles while looking at a photo of cherry blossoms on their device, the emotion engine recognizes that emotion as positive, and the AI ​​agent responds with, "Cherry blossom season is wonderful, isn't it?"

[0176] An example of a prompt is, "Think of a response to a picture of a user smiling."

[0177] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0178] Step 1:

[0179] Users enter personal information such as their name, age, and hobbies through their device. This information is sent to the device and later transferred to the server. Through this process, the system obtains the user's baseline profile.

[0180] Step 2:

[0181] The server uses the personal information received from the terminal as input to search its database. The database search finds nostalgic images and videos based on the user's past activities and interests. The search results are filtered and selected by the server and processed as interactive content.

[0182] Step 3:

[0183] The server uses an AI model to generate natural conversational content based on the selected data as input. This process constructs dialogue that the user would likely find interesting, taking into account the context related to the selected images and videos. The generated conversational content is then sent to the device.

[0184] Step 4:

[0185] The device presents the user with conversational content generated by a generative AI model. Simultaneously, it uses an emotion engine to analyze the user's emotions in real time. The emotion engine captures the user's facial expressions with sensors and evaluates their emotions by analyzing that data. The analysis results are output as the user's emotional status, such as smiling, confused, or interested.

[0186] Step 5:

[0187] The device uses the results of sentiment analysis as input to adjust the content and pace of the conversation. For example, if a positive emotion is detected, the AI ​​agent will respond with something like, "You seem happy." Conversely, if a negative emotion is detected, it will follow up with, "Is there anything you're worried about?" This step determines the specific response of the AI ​​agent to the user's reactions.

[0188] Step 6:

[0189] The terminal records user interaction and emotion evaluation data, and sends this record to the server. This data is output as log data, including conversation content and emotion status.

[0190] Step 7:

[0191] The server analyzes the recorded log data as input and generates detailed reports on the user's emotional changes and state. These reports provide valuable information for caregivers and can be used to develop further care plans.

[0192] (Application Example 2)

[0193] 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 device 14 will be referred to as the "terminal."

[0194] In a super-aging society, an increase in dementia patients is predicted, and the burden on caregivers is expected to increase even further. To solve this problem, a system is needed that allows for flexible dialogue that responds to the emotions of dementia patients. Improving the quality of life for patients and reducing the burden on caregivers are essential.

[0195] 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.

[0196] In this invention, the server includes means for evaluating an individual's emotions, means for determining emotions based on speech recognition and image recognition, and means for searching and retrieving past information from a database and generating dialogue appropriate to the individual's cognitive abilities. This makes it possible to accurately grasp the individual emotional state of dementia patients, provide dialogue and content suitable for the patient, and reduce the burden on caregivers.

[0197] "Means for evaluating individual emotions" refers to technologies that measure a user's emotional state from their voice and facial expressions, and then quantify or categorize it.

[0198] "Means for determining emotions based on speech recognition and image recognition" refers to technologies that analyze changes in voice tone and facial expressions to identify emotional states.

[0199] "A means of searching and retrieving past information from a database and generating dialogue tailored to cognitive abilities" refers to a technology that refers to the user's history information and profile, and constructs appropriate conversation content based on that information.

[0200] "Means for analyzing and reporting recorded dialogue and emotional data" refers to technology that analyzes the user's dialogue history and emotional changes, and creates reports for caregivers to see.

[0201] "Means for monitoring abnormal behavior and issuing warnings" refers to technologies that continuously observe user behavior and issue warnings when abnormalities are detected.

[0202] This invention is implemented as a system combining a user-operated terminal and a server for data processing. The terminal can be a smartphone or tablet, equipped with a camera and microphone to collect the user's facial expressions and voice. These terminals incorporate speech recognition libraries and facial recognition APIs, allowing for real-time evaluation of the user's emotions.

[0203] The server is built in a cloud environment and has a database that manages user profiles and conversational content. Specifically, Google's API is used for facial recognition, and Amazon Polly is used for speech synthesis. In addition, a generative AI model is implemented to generate natural conversational content based on the user's past information.

[0204] Typically, the user first enters basic information through the device, which is then sent to the server. The server analyzes the user's registration information, selects images and videos that evoke nostalgia, and sends them to the device. The device then begins a conversation based on this information, adjusting its response in real time while performing emotion recognition. For example, if the user smiles, the facial recognition API detects this and responds with something like, "That's a moment that brings back memories." Furthermore, if the user appears to be deep in thought, the system can prompt them with a message such as, "What kind of memories does this bring back?" A concrete example of such a prompt might be, "Please tell me the story behind seeing this picture."

[0205] This configuration allows for flexible interaction that responds to the user's emotions, enabling more effective care for dementia patients.

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

[0207] Step 1:

[0208] The user enters basic information (name, age, hobbies, etc.) using a terminal. The entered data is sent to the server by the terminal. This input information is used for subsequent profile analysis and customization of the conversation content.

[0209] Step 2:

[0210] Based on the basic information received, the server searches the database for the user's past information and selects content (images and videos) that evokes a sense of nostalgia. The input here is the user's profile information, and the output is a list of content related to the user.

[0211] Step 3:

[0212] The terminal receives content sent from the server and displays it to the user. The terminal uses a speech recognition library and a facial recognition API to analyze the user's reactions (voice tone and facial expressions) and determine their emotions. As a result, the input is the user's facial expressions and voice data in real time, and the output is the result of the emotion identification.

[0213] Step 4:

[0214] The device uses a generative AI model to generate appropriate dialogue phrases based on the emotion assessment results. For example, if the user is smiling, it will engage in positive dialogue such as, "That brings back memories." Here, the emotion identification result serves as input, and the dialogue phrase is generated as output.

[0215] Step 5:

[0216] The content of conversations with the user is recorded sequentially by the terminal and sent to the server along with emotional data. The server analyzes this data and generates reports that can be used to help with future care. The input in this step is the conversation history and emotional data with the user, and the output is report data based on the analysis results.

[0217] Step 6:

[0218] The server provides the caregiver with the generated report, highlighting the user's emotional changes and the support they require. This allows caregivers to gain a deeper understanding of the user's mental health and use that knowledge to provide appropriate care. The input is report data, and the output is information in a report format that caregivers can view.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] [Second Embodiment]

[0223] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0224] 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.

[0225] 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).

[0226] 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.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] 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".

[0235] This invention describes a method for implementing a system that utilizes an AI agent to provide care using reminiscence therapy to dementia patients and to reduce the burden on caregivers.

[0236] This system consists of a server, a terminal, and a user interacting to provide personalized conversations based on personal information. First, the user enters personal information such as their name, age, and areas of interest through the terminal, either with their own assistance or the assistance of a caregiver. Using this information, the server searches its database for nostalgic memories and past events related to the user and generates conversational content based on them.

[0237] The device uses this generated content to present videos and images to the user while facilitating a conversation with an AI agent. The AI ​​agent adapts to the user's responses, adjusting the pace and content of the conversation. For example, it might present a video related to a pleasant travel memory the user has had in the past and ask questions such as, "Do you remember going to this place?"

[0238] The device also records the conversation and sends the information to a server. The server analyzes the received data, organizes the user's emotions and conversation topics, and generates a report to provide to the caregiver. This report allows the caregiver to better understand the user's condition and respond more appropriately.

[0239] Furthermore, the device monitors the user's activity, and if it detects abnormal behavior outside of normal activity hours, the server immediately sends an alert to the caregiver. This feature allows caregivers to take prompt and appropriate action.

[0240] Thus, this invention, by integrating reminiscence therapy with AI technology, will revolutionize the care of dementia patients and significantly reduce the burden on caregivers.

[0241] The following describes the processing flow.

[0242] Step 1:

[0243] Users register their profiles through their devices. Input is done via voice or keyboard, and includes information such as name, age, and interests.

[0244] Step 2:

[0245] The device sends the user's entered profile information to the server. The transmitted data is stored on the server in an appropriate format.

[0246] Step 3:

[0247] The server searches the database for relevant past information based on the user's profile information. Here, it selects images and videos that evoke a sense of nostalgia and match the user's hobbies and interests.

[0248] Step 4:

[0249] The server organizes the content obtained through the search and generates material for the AI ​​agent to use for dialogue. The generated content is then sent to the terminal.

[0250] Step 5:

[0251] The device displays the content sent to the user appropriately. The AI ​​agent initiates a conversation, showing images and asking questions such as, "What memories do you have of this era?"

[0252] Step 6:

[0253] Users can freely express their thoughts based on the presented content. The AI ​​agent analyzes the user's responses in real time, adjusting the content and pace of subsequent questions accordingly.

[0254] Step 7:

[0255] The device records the content of the conversation and sends it to the server, thereby accumulating conversation data.

[0256] Step 8:

[0257] The server analyzes the recorded data to determine the user's emotions and conversational tendencies. Based on the analysis results, it creates a report to provide to caregivers and relatives.

[0258] Step 9:

[0259] The terminal monitors the user's unusual behavior and nighttime activities. If an anomaly is detected, it sends an alert to the server.

[0260] Step 10:

[0261] When the server receives an alert, it immediately notifies caregivers and registered relatives to encourage a quick response.

[0262] (Example 1)

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

[0264] Currently, providing care for the elderly and dementia patients faces challenges such as heavy human resource demands and significant caregiver burden, making it unsustainable. Furthermore, the difficulty in providing flexible care tailored to individual patient circumstances is another challenge. There is a need to utilize information technology to address these challenges and provide more effective and efficient care.

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

[0266] In this invention, the server includes means for acquiring information, means for searching and retrieving information from a storage device containing the information, and means for presenting generated dialogue content and facilitating the dialogue. This makes it possible to provide personalized care that meets individual needs and to reduce the burden on caregivers.

[0267] "Means of acquiring information" refers to functions or devices for collecting individual user information, enabling the system to incorporate information entered by users.

[0268] A "storage device that stores information" refers to a database or storage device used to store information such as past events and cultural backgrounds, and has a structure that allows for easy searching and retrieval of necessary information.

[0269] "Means for generating dialogue content" refers to algorithms and software that create personalized conversation material based on the user's individual information and past data.

[0270] "Means for presenting dialogue content and facilitating dialogue" refers to user interfaces and software that present the generated conversation content to the user and facilitate effective dialogue.

[0271] "Means for processing and analyzing recorded conversations to organize and report information" refers to functions and systems that systematically record conversations with users, analyze them, and convert them into information useful to caregivers.

[0272] "Means of monitoring behavior and issuing alarms when anomalies are detected" refers to monitoring systems and alert functions that observe user behavior and immediately issue warnings when activity deviates from normal patterns.

[0273] This invention is a system designed to support the care of the elderly and dementia patients. It consists of a server, terminals, and users interacting with each other. The system aims to stimulate cognitive function through personalized dialogue based on personal information.

[0274] The server first searches its database for personal information obtained from the user. This database contains information about past events and cultural background, and the server extracts information relevant to the user. Then, the server uses a generative AI model to generate dialogue content. This prompt might include something like, "Please recall a trip you enjoyed in the past, [User's Name]."

[0275] The device presents the generated dialogue to the user along with videos and images. The dialogue is conducted by an AI agent, and the content is flexibly modified in response to the user's reactions. The AI ​​agent uses natural language processing technology to interpret the user's responses in real time and determine the next step.

[0276] The specific hardware includes a display-equipped device to visually support user interaction, a microphone, and speakers. The software will utilize a database management system, natural language processing libraries, and AI agent programs.

[0277] These settings allow users to enjoy an interactive experience through sight and sound, and enable caregivers to provide appropriate care based on the information provided by the system. The system also plays a role in facilitating a quick response by monitoring user activity and immediately detecting and notifying caregivers of any abnormalities.

[0278] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0279] Step 1:

[0280] The user enters their personal information through the device. This information includes their name, age, and areas of interest. The device receives the entered information and sends it to the server. The entered data is used as baseline information to generate individual conversation content.

[0281] Step 2:

[0282] The server searches its storage for relevant historical information based on personal information received from the user. This search process uses database queries to extract events and cultural background information highly relevant to the user. The output forms the basis for dialogue materials presented to the user.

[0283] Step 3:

[0284] The server generates conversation content using a generative AI model based on the information obtained from the search. In this process, a prompt sentence is input into the AI model to create personalized conversation content. The generated conversation is used in subsequent interactions. The output of this step is conversation content in the form of specific questions or comments.

[0285] Step 4:

[0286] The terminal presents the conversation content received from the server to the user and advances the conversation via an AI agent. When the user responds to the presented questions or videos while looking at the screen, two-way communication is carried out through the microphone and speaker. The user's reaction is recorded in real time by the terminal.

[0287] Step 5:

[0288] The terminal periodically sends the recorded conversation content to the server. The server analyzes the received data and collates the user's emotional state and conversation trends. Data analysis includes sentiment analysis and topic modeling using natural language processing. The output is generated as a report for providing to the caregiver.

[0289] Step 6:

[0290] The terminal monitors the user's activities and, when detecting abnormal behavior, cooperates with the server to send an alarm. In this process, an action monitoring system is utilized to identify patterns different from normal. When an abnormality is detected, the server automatically sends a notification to the caregiver.

[0291] (Application Example 1)

[0292] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0293] There is a need to provide effective care for dementia patients while reducing the burden on caregivers. However, conventional systems have difficulty fully addressing the individual needs of dementia patients, and caregivers have difficulty taking appropriate responses in real time. This invention aims to solve these problems and improve the quality of life for dementia patients and reduce the burden on caregivers.

[0294] 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.

[0295] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, and means for generating dialogue based on the acquired past information. This enables personalized and nostalgic experiences for dementia patients and allows caregivers to respond appropriately in real time through analyzed reports.

[0296] "Personal information" refers to information specific to each individual user, such as their age, name, and areas of interest.

[0297] "Past information" refers to information stored in a database related to the user's past events and experiences.

[0298] "Dialogue" refers to linguistic communication that takes place between dementia patients and AI agents.

[0299] "Recorded conversations" refer to conversations between an AI agent and a user that have been saved in digital format.

[0300] "Abnormal behavior" refers to actions by dementia patients that deviate significantly from their normal lifestyle patterns.

[0301] "Notification" refers to a warning or notification that the system sends to the caregiver.

[0302] A "visual device" is a device worn by a user that captures the surroundings in real time and processes the data.

[0303] "Visual data" refers to image and video data obtained through a visual device.

[0304] "Image recognition" is a process of identifying specific objects or landmarks from the acquired visual data.

[0305] A "generative AI model" is an artificial intelligence mechanism that automatically creates new conversations or information based on specific input data.

[0306] The present invention is a system for improving the care for dementia patients, and its main components include a server, a terminal, and an interaction with the user. The server collects personal information, searches the past information database, and obtains relevant information. Based on the obtained information, an AI agent generates a conversation. In this process, a generative AI model is used to automatically create a highly accurate conversation.

[0307] The terminal obtains visual data through a visual device such as smart glasses. The obtained data is processed using image recognition technology such as OpenCV to help identify past information related to the current environment. Based on this result, the generated conversation is presented to provide the user with a nostalgic experience.

[0308] As a specific example, when the user visits a park and the location is associated with some past experience, the content "Do you remember having a picnic in this park before? It was a great day." is presented as an overlay video. Also, the data analyzed by the visual device is recorded by the server and later used for an analysis report for caregivers.

[0309] An example of a prompt message could be: "The system has detected that the user is at the following location: {Park Name}. Please generate past memories and episodes associated with this location." This allows the system to instantly provide a personalized nostalgic experience based on the user's current location.

[0310] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0311] Step 1:

[0312] Collection of personal information by servers

[0313] The server receives personal information transmitted from the user or caregiver via a terminal. This information includes the user's name, age, and areas of interest. Based on this, the server creates a profile for accessing the database. The input data is the user's personal information, and the output is profile information recorded on the server.

[0314] Step 2:

[0315] Retrieval of historical information by the server

[0316] The server uses the profile information created in Step 1 to search and retrieve relevant historical information from the database. This retrieved information serves as the foundational data for generating personalized interactions with the user. The input is the profile information, and the output is the relevant historical information. This information is used to generate the interactions.

[0317] Step 3:

[0318] Dialogue generation using generative AI models

[0319] The server uses acquired historical information as input data and generates natural language dialogue using a generative AI model. This dialogue includes nostalgic topics and memories related to the user. The generated dialogue is later presented to the user via a terminal and used as part of the AI ​​agent's conversation. The output is the generated dialogue content, with natural language processing used to select words appropriate to the user's emotions and reactions.

[0320] Step 4:

[0321] Acquisition and processing of visual data by the device

[0322] The device acquires visual data in real time using the camera sensor of smart glasses. It utilizes image recognition technologies such as OpenCV to analyze the visual data and determine the user's current environment. This analysis allows for the recognition of specific landmarks and objects. The input is visual data, and the output is information about the recognized object or location.

[0323] Step 5:

[0324] Presentation of dialogue and recognition results generated by the terminal.

[0325] The device combines the dialogue generated in step 3 with the environmental information recognized in step 4 and presents it to the user through smart glasses. This allows the user to experience personalized dialogue related to their current visual environment. The input is the generated dialogue and recognition results, and the output is the presentation of familiar dialogue content in an overlaid form.

[0326] Step 6:

[0327] Server-based recording of conversation and behavior data.

[0328] The server receives and thoroughly records conversation records and behavioral data between the user and the AI ​​agent transmitted from the terminal. This recorded data is later used to generate reports for caregivers and to detect abnormal behavior. The input is conversation records and behavioral data, and the output is stored as recorded data.

[0329] Step 7:

[0330] Server-based detection and notification of abnormal behavior

[0331] The server analyzes the behavioral data recorded in step 6 and immediately sends a notification to the caregiver if there is a deviation from the normal activity pattern. This notification allows the caregiver to take appropriate action quickly. The input is the recorded behavioral data, and the output is the notification message to the caregiver.

[0332] 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.

[0333] This invention combines an emotion engine with an AI agent system designed for the care of dementia patients, enabling flexible dialogue that responds to the user's emotions, thereby reducing the burden on caregivers and improving the quality of life for patients.

[0334] This system is built on the interaction between the server, terminal, and user, recognizing the user's emotions in real time and responding accordingly. First, the user registers basic information (name, age, hobbies, etc.) through the terminal, and this information is sent to the server. The server searches past information based on the user's information, selects nostalgic images and videos, and generates conversational content.

[0335] When interacting with a user, the device uses an emotion engine to determine the user's emotions. For example, when displaying an image or video, if the user is smiling, it is recognized as a positive emotion, and the AI ​​agent responds with something like, "Those seem like happy memories." Conversely, if the user has a troubled expression, it is recognized as a negative emotion, and the AI ​​agent asks a follow-up question such as, "Is there something bothering you?"

[0336] The emotion engine evaluates the user's emotions through their voice and facial expressions, and reflects the results on the device in real time. The device uses this data as a key to adjust the pace and content of the conversation on the spot.

[0337] Furthermore, the device records the user's conversations and sends the data to a server. The server analyzes the conversation information, including emotional data, to track the user's emotional changes and generate reports that are useful for caregivers. This allows caregivers to gain a deeper understanding of the user's mental health and provide appropriate support.

[0338] This invention, by incorporating an emotional engine, enables more integrated care for dementia patients and improves the ability to respond to individual needs. This enhances the overall effectiveness of the system and allows for the provision of higher quality care.

[0339] The following describes the processing flow.

[0340] Step 1:

[0341] The user enters their basic information using a terminal, including their name, age, and areas of interest. This information is then sent from the terminal to the server.

[0342] Step 2:

[0343] Based on the basic information received, the server searches the database for past information related to the user. It then selects images and videos that evoke nostalgia from the search results and generates interactive content.

[0344] Step 3:

[0345] The server sends the generated interactive content to the terminal. The terminal prepares to display the content in the user interface.

[0346] Step 4:

[0347] Based on instructions from the AI ​​agent, the device displays images and videos to the user and initiates a conversation. It asks questions such as, "Do you remember this picture?" to prompt the user's response.

[0348] Step 5:

[0349] Users describe their memories and feelings about the images and videos displayed on the device. The emotion engine analyzes the user's voice and facial expressions in real time to determine the user's emotions.

[0350] Step 6:

[0351] The device's emotion engine identifies the user's emotions, and if positive emotions are detected, the AI ​​agent responds with something like, "Those were great times, weren't they?" If negative emotions are detected, it asks follow-up questions such as, "Why do you feel that way?"

[0352] Step 7:

[0353] The device records the content of the conversation and the user's emotional changes. This includes voice data and emotional data. The recorded data is sent to the server.

[0354] Step 8:

[0355] The server analyzes the transmitted data and evaluates the user's emotional tendencies and conversation topics. It then compiles the results and creates a report to provide to the caregiver.

[0356] Step 9:

[0357] The device has a protocol implemented that monitors the user's activity both during and outside of their active hours, and sends an alert to the server if abnormal behavior is detected.

[0358] Step 10:

[0359] When the server receives an alert, it quickly notifies the caregiver to support immediate response.

[0360] (Example 2)

[0361] 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".

[0362] In the care of dementia patients, there is a need for systems that enable flexible dialogue that responds to the patient's emotions. However, current technology makes it difficult to appropriately adjust dialogue based on changes in the user's emotions, increasing the burden on caregivers. Furthermore, there is a challenge in rapidly generating detailed reports that include emotional data and effectively utilizing them in care.

[0363] 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.

[0364] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, means for generating dialogue using a generation algorithm based on the acquired information, means for analyzing the user's voice and facial expressions to evaluate emotions, means for adjusting the content and pace of the dialogue based on the emotion evaluation, means for analyzing the recorded dialogue to generate a report including emotion data, and means for monitoring abnormal behavior and issuing alerts. This enables flexible dialogue that responds to the user's emotions, reduces the burden on caregivers, and improves the quality of life for patients.

[0365] "Personal information" refers to basic information that can identify an individual, such as a user's name, age, and hobbies.

[0366] A "database" is a collection of information organized for the purpose of efficiently searching for and retrieving information.

[0367] A "generative algorithm" refers to a computational method used to create meaningful conversational content from specific data.

[0368] "Voice and facial expression analysis" is an analytical method for evaluating emotions based on the voice and facial expressions emitted by the user.

[0369] "Emotional evaluation" refers to the process of determining a user's current emotional state as positive, negative, etc.

[0370] "Abnormal behavior" refers to actions or reactions that deviate from the normal range of behavior and require a warning.

[0371] An "alert" refers to a warning or notification used to alert people when abnormal behavior or an emergency occurs.

[0372] This invention provides a system that enables flexible dialogue tailored to the emotions of dementia patients. This system is configured based on the interaction between a server, a terminal, and a user.

[0373] First, the user enters basic information through a terminal. This basic information includes name, age, and hobbies, which are then sent to the server. The terminal is a computer device with an intuitive and easy-to-use interface for the user.

[0374] The server searches its database for past information based on the user information it receives. The server operates on a cloud computing environment and has the capability to perform various data processing tasks. Past information includes the user's activity history and images and videos that might interest them. Using the acquired data, the server generates conversational content through an algorithm employing a generative AI model. This generative AI model utilizes the latest machine learning techniques to automatically create natural and engaging conversations.

[0375] The device uses an emotion engine to recognize and analyze the user's voice and facial expressions, evaluating their emotions in real time. This engine captures the user's facial expressions using various sensors and employs advanced image processing technology for analysis. It also utilizes speech recognition technology to determine emotions from the content of the user's words.

[0376] The device automatically adjusts the content and pace of the conversation based on the results of emotion analysis. This allows it to respond to positive emotions with "That sounds like a fun memory," and follow up with negative emotions with "Is there something bothering you?"

[0377] Furthermore, the device records the interaction with the user and sends it to the server. The server analyzes this data, including emotional data, to generate a report that tracks the user's emotional changes. This report helps caregivers understand the user's condition in detail and take appropriate action.

[0378] For example, when a user smiles while looking at a photo of cherry blossoms on their device, the emotion engine recognizes that emotion as positive, and the AI ​​agent responds with, "Cherry blossom season is wonderful, isn't it?"

[0379] An example of a prompt is, "Think of a response to a picture of a user smiling."

[0380] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0381] Step 1:

[0382] Users enter personal information such as their name, age, and hobbies through their device. This information is sent to the device and later transferred to the server. Through this process, the system obtains the user's baseline profile.

[0383] Step 2:

[0384] The server uses the personal information received from the terminal as input to search its database. The database search finds nostalgic images and videos based on the user's past activities and interests. The search results are filtered and selected by the server and processed as interactive content.

[0385] Step 3:

[0386] The server uses an AI model to generate natural conversational content based on the selected data as input. This process constructs dialogue that the user would likely find interesting, taking into account the context related to the selected images and videos. The generated conversational content is then sent to the device.

[0387] Step 4:

[0388] The device presents the user with conversational content generated by a generative AI model. Simultaneously, it uses an emotion engine to analyze the user's emotions in real time. The emotion engine captures the user's facial expressions with sensors and evaluates their emotions by analyzing that data. The analysis results are output as the user's emotional status, such as smiling, confused, or interested.

[0389] Step 5:

[0390] The device uses the results of sentiment analysis as input to adjust the content and pace of the conversation. For example, if a positive emotion is detected, the AI ​​agent will respond with something like, "You seem happy." Conversely, if a negative emotion is detected, it will follow up with, "Is there anything you're worried about?" This step determines the specific response of the AI ​​agent to the user's reactions.

[0391] Step 6:

[0392] The terminal records user interaction and emotion evaluation data, and sends this record to the server. This data is output as log data, including conversation content and emotion status.

[0393] Step 7:

[0394] The server analyzes the recorded log data as input and generates detailed reports on the user's emotional changes and state. These reports provide valuable information for caregivers and can be used to develop further care plans.

[0395] (Application Example 2)

[0396] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0397] In a super-aging society, an increase in dementia patients is predicted, and the burden on caregivers is expected to increase even further. To solve this problem, a system is needed that allows for flexible dialogue that responds to the emotions of dementia patients. Improving the quality of life for patients and reducing the burden on caregivers are essential.

[0398] 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.

[0399] In this invention, the server includes means for evaluating an individual's emotions, means for determining emotions based on speech recognition and image recognition, and means for searching and retrieving past information from a database and generating dialogue appropriate to the individual's cognitive abilities. This makes it possible to accurately grasp the individual emotional state of dementia patients, provide dialogue and content suitable for the patient, and reduce the burden on caregivers.

[0400] "Means for evaluating individual emotions" refers to technologies that measure a user's emotional state from their voice and facial expressions, and then quantify or categorize it.

[0401] "Means for determining emotions based on speech recognition and image recognition" refers to technologies that analyze changes in voice tone and facial expressions to identify emotional states.

[0402] "A means of searching and retrieving past information from a database and generating dialogue tailored to cognitive abilities" refers to a technology that refers to the user's history information and profile, and constructs appropriate conversation content based on that information.

[0403] "Means for analyzing and reporting recorded dialogue and emotional data" refers to technology that analyzes the user's dialogue history and emotional changes, and creates reports for caregivers to see.

[0404] "Means for monitoring abnormal behavior and issuing warnings" refers to technologies that continuously observe user behavior and issue warnings when abnormalities are detected.

[0405] This invention is implemented as a system combining a user-operated terminal and a server for data processing. The terminal can be a smartphone or tablet, equipped with a camera and microphone to collect the user's facial expressions and voice. These terminals incorporate speech recognition libraries and facial recognition APIs, allowing for real-time evaluation of the user's emotions.

[0406] The server is built in a cloud environment and has a database that manages user profiles and conversational content. Specifically, Google's API is used for facial recognition and Amazon Polly for speech synthesis. In addition, a generative AI model is implemented to generate natural conversational content based on the user's past information.

[0407] Typically, the user first enters basic information through the device, which is then sent to the server. The server analyzes the user's registration information, selects images and videos that evoke nostalgia, and sends them to the device. The device then begins a conversation based on this information, adjusting its response in real time while performing emotion recognition. For example, if the user smiles, the facial recognition API detects this and responds with something like, "That's a moment that brings back memories." Furthermore, if the user appears to be deep in thought, the system can prompt them with a message such as, "What kind of memories does this bring back?" A concrete example of such a prompt might be, "Please tell me the story behind seeing this picture."

[0408] This configuration allows for flexible interaction that responds to the user's emotions, enabling more effective care for dementia patients.

[0409] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0410] Step 1:

[0411] The user enters basic information (name, age, hobbies, etc.) using a terminal. The entered data is sent to the server by the terminal. This input information is used for subsequent profile analysis and customization of the conversation content.

[0412] Step 2:

[0413] Based on the basic information received, the server searches the database for the user's past information and selects content (images and videos) that evokes a sense of nostalgia. The input here is the user's profile information, and the output is a list of content related to the user.

[0414] Step 3:

[0415] The terminal receives content sent from the server and displays it to the user. The terminal uses a speech recognition library and a facial recognition API to analyze the user's reactions (voice tone and facial expressions) and determine their emotions. As a result, the input is the user's facial expressions and voice data in real time, and the output is the result of the emotion identification.

[0416] Step 4:

[0417] The device uses a generative AI model to generate appropriate dialogue phrases based on the emotion assessment results. For example, if the user is smiling, it will engage in positive dialogue such as, "That brings back memories." Here, the emotion identification result serves as input, and the dialogue phrase is generated as output.

[0418] Step 5:

[0419] The content of conversations with the user is recorded sequentially by the terminal and sent to the server along with emotional data. The server analyzes this data and generates reports that can be used to help with future care. The input in this step is the conversation history and emotional data with the user, and the output is report data based on the analysis results.

[0420] Step 6:

[0421] The server provides the caregiver with the generated report, highlighting the user's emotional changes and the support they require. This allows caregivers to gain a deeper understanding of the user's mental health and use that knowledge to provide appropriate care. The input is report data, and the output is information in a report format that caregivers can view.

[0422] 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.

[0423] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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.

[0424] 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.

[0425] [Third Embodiment]

[0426] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0427] 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.

[0428] 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).

[0429] 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.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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".

[0438] This invention describes a method for implementing a system that utilizes an AI agent to provide care using reminiscence therapy to dementia patients and to reduce the burden on caregivers.

[0439] This system consists of a server, a terminal, and a user interacting to provide personalized conversations based on personal information. First, the user enters personal information such as their name, age, and areas of interest through the terminal, either with their own assistance or the assistance of a caregiver. Using this information, the server searches its database for nostalgic memories and past events related to the user and generates conversational content based on them.

[0440] The device uses this generated content to present videos and images to the user while facilitating a conversation with an AI agent. The AI ​​agent adapts to the user's responses, adjusting the pace and content of the conversation. For example, it might present a video related to a pleasant travel memory the user has had in the past and ask questions such as, "Do you remember going to this place?"

[0441] The device also records the conversation and sends the information to a server. The server analyzes the received data, organizes the user's emotions and conversation topics, and generates a report to provide to the caregiver. This report allows the caregiver to better understand the user's condition and respond more appropriately.

[0442] Furthermore, the device monitors the user's activity, and if it detects abnormal behavior outside of normal activity hours, the server immediately sends an alert to the caregiver. This feature allows caregivers to take prompt and appropriate action.

[0443] Thus, this invention, by integrating reminiscence therapy with AI technology, will revolutionize the care of dementia patients and significantly reduce the burden on caregivers.

[0444] The following describes the processing flow.

[0445] Step 1:

[0446] Users register their profiles through their devices. Input is done via voice or keyboard, and includes information such as name, age, and interests.

[0447] Step 2:

[0448] The device sends the user's entered profile information to the server. The transmitted data is stored on the server in an appropriate format.

[0449] Step 3:

[0450] The server searches the database for relevant past information based on the user's profile information. Here, it selects images and videos that evoke a sense of nostalgia and match the user's hobbies and interests.

[0451] Step 4:

[0452] The server organizes the content obtained through the search and generates material for the AI ​​agent to use for dialogue. The generated content is then sent to the terminal.

[0453] Step 5:

[0454] The device displays the content sent to the user appropriately. The AI ​​agent initiates a conversation, showing images and asking questions such as, "What memories do you have of this era?"

[0455] Step 6:

[0456] Users can freely express their thoughts based on the presented content. The AI ​​agent analyzes the user's responses in real time, adjusting the content and pace of subsequent questions accordingly.

[0457] Step 7:

[0458] The device records the content of the conversation and sends it to the server, thereby accumulating conversation data.

[0459] Step 8:

[0460] The server analyzes the recorded data to determine the user's emotions and conversational tendencies. Based on the analysis results, it creates a report to provide to caregivers and relatives.

[0461] Step 9:

[0462] The terminal monitors the user's unusual behavior and nighttime activities. If an anomaly is detected, it sends an alert to the server.

[0463] Step 10:

[0464] When the server receives an alert, it immediately notifies caregivers and registered relatives to encourage a quick response.

[0465] (Example 1)

[0466] 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."

[0467] Currently, providing care for the elderly and dementia patients faces challenges such as heavy human resource demands and significant caregiver burden, making it unsustainable. Furthermore, the difficulty in providing flexible care tailored to individual patient circumstances is another challenge. There is a need to utilize information technology to address these challenges and provide more effective and efficient care.

[0468] 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.

[0469] In this invention, the server includes means for acquiring information, means for searching and retrieving information from a storage device containing the information, and means for presenting generated dialogue content and facilitating the dialogue. This makes it possible to provide personalized care that meets individual needs and to reduce the burden on caregivers.

[0470] "Means of acquiring information" refers to functions or devices for collecting individual user information, enabling the system to incorporate information entered by users.

[0471] A "storage device that stores information" refers to a database or storage device used to store information such as past events and cultural backgrounds, and has a structure that allows for easy searching and retrieval of necessary information.

[0472] "Means for generating dialogue content" refers to algorithms and software that create personalized conversation material based on the user's individual information and past data.

[0473] "Means for presenting dialogue content and facilitating dialogue" refers to user interfaces and software that present the generated conversation content to the user and facilitate effective dialogue.

[0474] "Means for processing and analyzing recorded conversations to organize and report information" refers to functions and systems that systematically record conversations with users, analyze them, and convert them into information useful to caregivers.

[0475] "Means of monitoring behavior and issuing alarms when anomalies are detected" refers to monitoring systems and alert functions that observe user behavior and immediately issue warnings when activity deviates from normal patterns.

[0476] This invention is a system designed to support the care of the elderly and dementia patients. It consists of a server, terminals, and users interacting with each other. The system aims to stimulate cognitive function through personalized dialogue based on personal information.

[0477] The server first searches its database for personal information obtained from the user. This database contains information about past events and cultural background, and the server extracts information relevant to the user. Then, the server uses a generative AI model to generate dialogue content. This prompt might include something like, "Please recall a trip you enjoyed in the past, [User's Name]."

[0478] The device presents the generated dialogue to the user along with videos and images. The dialogue is conducted by an AI agent, and the content is flexibly modified in response to the user's reactions. The AI ​​agent uses natural language processing technology to interpret the user's responses in real time and determine the next step.

[0479] The specific hardware includes a display-equipped device to visually support user interaction, a microphone, and speakers. The software will utilize a database management system, natural language processing libraries, and AI agent programs.

[0480] These settings allow users to enjoy an interactive experience through sight and sound, and enable caregivers to provide appropriate care based on the information provided by the system. The system also plays a role in facilitating a quick response by monitoring user activity and immediately detecting and notifying caregivers of any abnormalities.

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

[0482] Step 1:

[0483] The user enters their personal information through the device. This information includes their name, age, and areas of interest. The device receives the entered information and sends it to the server. The entered data is used as baseline information to generate individual conversation content.

[0484] Step 2:

[0485] The server searches its storage for relevant historical information based on personal information received from the user. This search process uses database queries to extract events and cultural background information highly relevant to the user. The output forms the basis for dialogue materials presented to the user.

[0486] Step 3:

[0487] The server generates dialogue content using a generative AI model based on the information obtained from the search. In this process, prompt sentences are input into the AI ​​model to create personalized dialogue content. The generated dialogue is used in subsequent interactions. The output of this step is dialogue content in the form of specific questions and comments.

[0488] Step 4:

[0489] The terminal presents the user with the dialogue content received from the server and facilitates the conversation through an AI agent. The user interacts with the presented questions and images through the microphone and speaker while viewing the screen, engaging in two-way communication. The user's responses are recorded in real time by the terminal.

[0490] Step 5:

[0491] The terminal periodically sends recorded conversation content to the server. The server analyzes the received data to organize the user's emotional state and conversational patterns. Data analysis includes sentiment analysis using natural language processing and topic modeling. The output is generated as a report for caregivers.

[0492] Step 6:

[0493] The device monitors user activity and, if abnormal behavior is detected, it communicates with the server to issue an alarm. This process utilizes a behavioral monitoring system to identify unusual patterns. If an anomaly is detected, the server automatically sends a notification to the caregiver.

[0494] (Application Example 1)

[0495] 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."

[0496] There is a need to provide effective care for dementia patients while reducing the burden on caregivers. However, conventional systems have difficulty fully addressing the individual needs of dementia patients, and caregivers have difficulty taking appropriate responses in real time. This invention aims to solve these problems and improve the quality of life for dementia patients and reduce the burden on caregivers.

[0497] 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.

[0498] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, and means for generating dialogue based on the acquired past information. This enables personalized and nostalgic experiences for dementia patients and allows caregivers to respond appropriately in real time through analyzed reports.

[0499] "Personal information" refers to information specific to each individual user, such as their age, name, and areas of interest.

[0500] "Past information" refers to information stored in a database related to the user's past events and experiences.

[0501] "Dialogue" refers to linguistic communication that takes place between dementia patients and AI agents.

[0502] "Recorded conversations" refer to conversations between an AI agent and a user that have been saved in digital format.

[0503] "Abnormal behavior" refers to actions by dementia patients that deviate significantly from their normal lifestyle patterns.

[0504] "Notification" refers to a warning or notification that the system sends to the caregiver.

[0505] A "visual device" is a device worn by the user that captures images of the surroundings in real time and processes that data.

[0506] "Visual data" refers to image and video data acquired through visual devices.

[0507] "Image recognition" is the process of identifying specific objects or landmarks from acquired visual data.

[0508] A "generative AI model" is an artificial intelligence system that automatically creates new dialogues and information based on specific input data.

[0509] This invention is a system for streamlining care for dementia patients, and its main components are a server, a terminal, and user interaction. The server collects personal information and retrieves relevant information by searching a database of past information. Based on the retrieved information, an AI agent generates a dialogue. In this process, a generative AI model is used to automatically create a highly accurate dialogue.

[0510] The device acquires visual data through visual devices such as smart glasses. This acquired data is processed using image recognition technologies such as OpenCV to help identify past information related to the current environment. Based on these results, a generated dialogue is presented to provide the user with a nostalgic experience.

[0511] For example, when a user visits a park, if the location is associated with some past experience, an overlay image will be displayed with the message, "Do you remember having a picnic in this park a long time ago? You had a wonderful day, didn't you?" Furthermore, the data analyzed by the visual device is recorded by a server and later used to create analytical reports for caregivers.

[0512] An example of a prompt message could be: "The system has detected that the user is at the following location: {Park Name}. Please generate past memories and episodes associated with this location." This allows the system to instantly provide a personalized nostalgic experience based on the user's current location.

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

[0514] Step 1:

[0515] Collection of personal information by servers

[0516] The server receives personal information transmitted from the user or caregiver via a terminal. This information includes the user's name, age, and areas of interest. Based on this, the server creates a profile for accessing the database. The input data is the user's personal information, and the output is profile information recorded on the server.

[0517] Step 2:

[0518] Retrieval of historical information by the server

[0519] The server uses the profile information created in Step 1 to search and retrieve relevant historical information from the database. This retrieved information serves as the foundational data for generating personalized interactions with the user. The input is the profile information, and the output is the relevant historical information. This information is used to generate the interactions.

[0520] Step 3:

[0521] Dialogue generation using generative AI models

[0522] The server uses acquired historical information as input data and generates natural language dialogue using a generative AI model. This dialogue includes nostalgic topics and memories related to the user. The generated dialogue is later presented to the user via a terminal and used as part of the AI ​​agent's conversation. The output is the generated dialogue content, with natural language processing used to select words appropriate to the user's emotions and reactions.

[0523] Step 4:

[0524] Acquisition and processing of visual data by the device

[0525] The device acquires visual data in real time using the camera sensor of smart glasses. It utilizes image recognition technologies such as OpenCV to analyze the visual data and determine the user's current environment. This analysis allows for the recognition of specific landmarks and objects. The input is visual data, and the output is information about the recognized object or location.

[0526] Step 5:

[0527] Presentation of dialogue and recognition results generated by the terminal.

[0528] The device combines the dialogue generated in step 3 with the environmental information recognized in step 4 and presents it to the user through smart glasses. This allows the user to experience personalized dialogue related to their current visual environment. The input is the generated dialogue and recognition results, and the output is the presentation of familiar dialogue content in an overlaid form.

[0529] Step 6:

[0530] Server-based recording of conversation and behavior data.

[0531] The server receives and thoroughly records conversation records and behavioral data between the user and the AI ​​agent transmitted from the terminal. This recorded data is later used to generate reports for caregivers and to detect abnormal behavior. The input is conversation records and behavioral data, and the output is stored as recorded data.

[0532] Step 7:

[0533] Server-based detection and notification of abnormal behavior

[0534] The server analyzes the behavioral data recorded in step 6 and immediately sends a notification to the caregiver if there is a deviation from the normal activity pattern. This notification allows the caregiver to take appropriate action quickly. The input is the recorded behavioral data, and the output is the notification message to the caregiver.

[0535] 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.

[0536] This invention combines an emotion engine with an AI agent system designed for the care of dementia patients, enabling flexible dialogue that responds to the user's emotions, thereby reducing the burden on caregivers and improving the quality of life for patients.

[0537] This system is built on the interaction between the server, terminal, and user, recognizing the user's emotions in real time and responding accordingly. First, the user registers basic information (name, age, hobbies, etc.) through the terminal, and this information is sent to the server. The server searches past information based on the user's information, selects nostalgic images and videos, and generates conversational content.

[0538] When interacting with a user, the device uses an emotion engine to determine the user's emotions. For example, when displaying an image or video, if the user is smiling, it is recognized as a positive emotion, and the AI ​​agent responds with something like, "Those seem like happy memories." Conversely, if the user has a troubled expression, it is recognized as a negative emotion, and the AI ​​agent asks a follow-up question such as, "Is there something bothering you?"

[0539] The emotion engine evaluates the user's emotions through their voice and facial expressions, and reflects the results on the device in real time. The device uses this data as a key to adjust the pace and content of the conversation on the spot.

[0540] Furthermore, the device records the user's conversations and sends the data to a server. The server analyzes the conversation information, including emotional data, to track the user's emotional changes and generate reports that are useful for caregivers. This allows caregivers to gain a deeper understanding of the user's mental health and provide appropriate support.

[0541] This invention, by incorporating an emotional engine, enables more integrated care for dementia patients and improves the ability to respond to individual needs. This enhances the overall effectiveness of the system and allows for the provision of higher quality care.

[0542] The following describes the processing flow.

[0543] Step 1:

[0544] The user enters their basic information using a terminal, including their name, age, and areas of interest. This information is then sent from the terminal to the server.

[0545] Step 2:

[0546] Based on the basic information received, the server searches the database for past information related to the user. It then selects images and videos that evoke nostalgia from the search results and generates interactive content.

[0547] Step 3:

[0548] The server sends the generated interactive content to the terminal. The terminal prepares to display the content in the user interface.

[0549] Step 4:

[0550] Based on instructions from the AI ​​agent, the device displays images and videos to the user and initiates a conversation. It asks questions such as, "Do you remember this picture?" to prompt the user's response.

[0551] Step 5:

[0552] Users describe their memories and feelings about the images and videos displayed on the device. The emotion engine analyzes the user's voice and facial expressions in real time to determine the user's emotions.

[0553] Step 6:

[0554] The device's emotion engine identifies the user's emotions, and if positive emotions are detected, the AI ​​agent responds with something like, "Those were great times, weren't they?" If negative emotions are detected, it asks follow-up questions such as, "Why do you feel that way?"

[0555] Step 7:

[0556] The device records the content of the conversation and the user's emotional changes. This includes voice data and emotional data. The recorded data is sent to the server.

[0557] Step 8:

[0558] The server analyzes the transmitted data and evaluates the user's emotional tendencies and conversation topics. It then compiles the results and creates a report to provide to the caregiver.

[0559] Step 9:

[0560] The device has a protocol implemented that monitors the user's activity both during and outside of their active hours, and sends an alert to the server if abnormal behavior is detected.

[0561] Step 10:

[0562] When the server receives an alert, it quickly notifies the caregiver to support immediate response.

[0563] (Example 2)

[0564] 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."

[0565] In the care of dementia patients, there is a need for systems that enable flexible dialogue that responds to the patient's emotions. However, current technology makes it difficult to appropriately adjust dialogue based on changes in the user's emotions, increasing the burden on caregivers. Furthermore, there is a challenge in rapidly generating detailed reports that include emotional data and effectively utilizing them in care.

[0566] 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.

[0567] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, means for generating dialogue using a generation algorithm based on the acquired information, means for analyzing the user's voice and facial expressions to evaluate emotions, means for adjusting the content and pace of the dialogue based on the emotion evaluation, means for analyzing the recorded dialogue to generate a report including emotion data, and means for monitoring abnormal behavior and issuing alerts. This enables flexible dialogue that responds to the user's emotions, reduces the burden on caregivers, and improves the quality of life for patients.

[0568] "Personal information" refers to basic information that can identify an individual, such as a user's name, age, and hobbies.

[0569] A "database" is a collection of information organized for the purpose of efficiently searching for and retrieving information.

[0570] A "generative algorithm" refers to a computational method used to create meaningful conversational content from specific data.

[0571] "Voice and facial expression analysis" is an analytical method for evaluating emotions based on the voice and facial expressions emitted by the user.

[0572] "Emotional evaluation" refers to the process of determining a user's current emotional state as positive, negative, etc.

[0573] "Abnormal behavior" refers to actions or reactions that deviate from the normal range of behavior and require a warning.

[0574] An "alert" refers to a warning or notification used to alert people when abnormal behavior or an emergency occurs.

[0575] This invention provides a system that enables flexible dialogue tailored to the emotions of dementia patients. This system is configured based on the interaction between a server, a terminal, and a user.

[0576] First, the user enters basic information through a terminal. This basic information includes name, age, and hobbies, which are then sent to the server. The terminal is a computer device with an intuitive and easy-to-use interface for the user.

[0577] The server searches its database for past information based on the user information it receives. The server operates on a cloud computing environment and has the capability to perform various data processing tasks. Past information includes the user's activity history and images and videos that might interest them. Using the acquired data, the server generates conversational content through an algorithm employing a generative AI model. This generative AI model utilizes the latest machine learning techniques to automatically create natural and engaging conversations.

[0578] The device uses an emotion engine to recognize and analyze the user's voice and facial expressions, evaluating their emotions in real time. This engine captures the user's facial expressions using various sensors and employs advanced image processing technology for analysis. It also utilizes speech recognition technology to determine emotions from the content of the user's words.

[0579] The device automatically adjusts the content and pace of the conversation based on the results of emotion analysis. This allows it to respond to positive emotions with "That sounds like a fun memory," and follow up with negative emotions with "Is there something bothering you?"

[0580] Furthermore, the device records the interaction with the user and sends it to the server. The server analyzes this data, including emotional data, to generate a report that tracks the user's emotional changes. This report helps caregivers understand the user's condition in detail and take appropriate action.

[0581] For example, when a user smiles while looking at a photo of cherry blossoms on their device, the emotion engine recognizes that emotion as positive, and the AI ​​agent responds with, "Cherry blossom season is wonderful, isn't it?"

[0582] An example of a prompt is, "Think of a response to a picture of a user smiling."

[0583] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0584] Step 1:

[0585] Users enter personal information such as their name, age, and hobbies through their device. This information is sent to the device and later transferred to the server. Through this process, the system obtains the user's baseline profile.

[0586] Step 2:

[0587] The server uses the personal information received from the terminal as input to search its database. The database search finds nostalgic images and videos based on the user's past activities and interests. The search results are filtered and selected by the server and processed as interactive content.

[0588] Step 3:

[0589] The server uses an AI model to generate natural conversational content based on the selected data as input. This process constructs dialogue that the user would likely find interesting, taking into account the context related to the selected images and videos. The generated conversational content is then sent to the device.

[0590] Step 4:

[0591] The device presents the user with conversational content generated by a generative AI model. Simultaneously, it uses an emotion engine to analyze the user's emotions in real time. The emotion engine captures the user's facial expressions with sensors and evaluates their emotions by analyzing that data. The analysis results are output as the user's emotional status, such as smiling, confused, or interested.

[0592] Step 5:

[0593] The device uses the results of sentiment analysis as input to adjust the content and pace of the conversation. For example, if a positive emotion is detected, the AI ​​agent will respond with something like, "You seem happy." Conversely, if a negative emotion is detected, it will follow up with, "Is there anything you're worried about?" This step determines the specific response of the AI ​​agent to the user's reactions.

[0594] Step 6:

[0595] The terminal records user interaction and emotion evaluation data, and sends this record to the server. This data is output as log data, including conversation content and emotion status.

[0596] Step 7:

[0597] The server analyzes the recorded log data as input and generates detailed reports on the user's emotional changes and state. These reports provide valuable information for caregivers and can be used to develop further care plans.

[0598] (Application Example 2)

[0599] 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."

[0600] In a super-aging society, an increase in dementia patients is predicted, and the burden on caregivers is expected to increase even further. To solve this problem, a system is needed that allows for flexible dialogue that responds to the emotions of dementia patients. Improving the quality of life for patients and reducing the burden on caregivers are essential.

[0601] 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.

[0602] In this invention, the server includes means for evaluating an individual's emotions, means for determining emotions based on speech recognition and image recognition, and means for searching and retrieving past information from a database and generating dialogue appropriate to the individual's cognitive abilities. This makes it possible to accurately grasp the individual emotional state of dementia patients, provide dialogue and content suitable for the patient, and reduce the burden on caregivers.

[0603] "Means for evaluating individual emotions" refers to technologies that measure a user's emotional state from their voice and facial expressions, and then quantify or categorize it.

[0604] "Means for determining emotions based on speech recognition and image recognition" refers to technologies that analyze changes in voice tone and facial expressions to identify emotional states.

[0605] "A means of searching and retrieving past information from a database and generating dialogue tailored to cognitive abilities" refers to a technology that refers to the user's history information and profile, and constructs appropriate conversation content based on that information.

[0606] "Means for analyzing and reporting recorded dialogue and emotional data" refers to technology that analyzes the user's dialogue history and emotional changes, and creates reports for caregivers to see.

[0607] "Means for monitoring abnormal behavior and issuing warnings" refers to technologies that continuously observe user behavior and issue warnings when abnormalities are detected.

[0608] This invention is implemented as a system combining a user-operated terminal and a server for data processing. The terminal can be a smartphone or tablet, equipped with a camera and microphone to collect the user's facial expressions and voice. These terminals incorporate speech recognition libraries and facial recognition APIs, allowing for real-time evaluation of the user's emotions.

[0609] The server is built in a cloud environment and has a database that manages user profiles and conversational content. Specifically, Google's API is used for facial recognition and Amazon Polly for speech synthesis. In addition, a generative AI model is implemented to generate natural conversational content based on the user's past information.

[0610] Typically, the user first enters basic information through the device, which is then sent to the server. The server analyzes the user's registration information, selects images and videos that evoke nostalgia, and sends them to the device. The device then begins a conversation based on this information, adjusting its response in real time while performing emotion recognition. For example, if the user smiles, the facial recognition API detects this and responds with something like, "That's a moment that brings back memories." Furthermore, if the user appears to be deep in thought, the system can prompt them with a message such as, "What kind of memories does this bring back?" A concrete example of such a prompt might be, "Please tell me the story behind seeing this picture."

[0611] This configuration allows for flexible interaction that responds to the user's emotions, enabling more effective care for dementia patients.

[0612] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0613] Step 1:

[0614] The user enters basic information (name, age, hobbies, etc.) using a terminal. The entered data is sent to the server by the terminal. This input information is used for subsequent profile analysis and customization of the conversation content.

[0615] Step 2:

[0616] Based on the basic information received, the server searches the database for the user's past information and selects content (images and videos) that evokes a sense of nostalgia. The input here is the user's profile information, and the output is a list of content related to the user.

[0617] Step 3:

[0618] The terminal receives content sent from the server and displays it to the user. The terminal uses a speech recognition library and a facial recognition API to analyze the user's reactions (voice tone and facial expressions) and determine their emotions. As a result, the input is the user's facial expressions and voice data in real time, and the output is the result of the emotion identification.

[0619] Step 4:

[0620] The device uses a generative AI model to generate appropriate dialogue phrases based on the emotion assessment results. For example, if the user is smiling, it will engage in positive dialogue such as, "That brings back memories." Here, the emotion identification result serves as input, and the dialogue phrase is generated as output.

[0621] Step 5:

[0622] The content of conversations with the user is recorded sequentially by the terminal and sent to the server along with emotional data. The server analyzes this data and generates reports that can be used to help with future care. The input in this step is the conversation history and emotional data with the user, and the output is report data based on the analysis results.

[0623] Step 6:

[0624] The server provides the caregiver with the generated report, highlighting the user's emotional changes and the support they require. This allows caregivers to gain a deeper understanding of the user's mental health and use that knowledge to provide appropriate care. The input is report data, and the output is information in a report format that caregivers can view.

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

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

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

[0628] [Fourth Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

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

[0642] This invention describes a method for implementing a system that utilizes an AI agent to provide care using reminiscence therapy to dementia patients and to reduce the burden on caregivers.

[0643] This system consists of a server, a terminal, and a user interacting to provide personalized conversations based on personal information. First, the user enters personal information such as their name, age, and areas of interest through the terminal, either with their own assistance or the assistance of a caregiver. Using this information, the server searches its database for nostalgic memories and past events related to the user and generates conversational content based on them.

[0644] The device uses this generated content to present videos and images to the user while facilitating a conversation with an AI agent. The AI ​​agent adapts to the user's responses, adjusting the pace and content of the conversation. For example, it might present a video related to a pleasant travel memory the user has had in the past and ask questions such as, "Do you remember going to this place?"

[0645] The device also records the conversation and sends the information to a server. The server analyzes the received data, organizes the user's emotions and conversation topics, and generates a report to provide to the caregiver. This report allows the caregiver to better understand the user's condition and respond more appropriately.

[0646] Furthermore, the device monitors the user's activity, and if it detects abnormal behavior outside of normal activity hours, the server immediately sends an alert to the caregiver. This feature allows caregivers to take prompt and appropriate action.

[0647] Thus, this invention, by integrating reminiscence therapy with AI technology, will revolutionize the care of dementia patients and significantly reduce the burden on caregivers.

[0648] The following describes the processing flow.

[0649] Step 1:

[0650] Users register their profiles through their devices. Input is done via voice or keyboard, and includes information such as name, age, and interests.

[0651] Step 2:

[0652] The device sends the user's entered profile information to the server. The transmitted data is stored on the server in an appropriate format.

[0653] Step 3:

[0654] The server searches the database for relevant past information based on the user's profile information. Here, it selects images and videos that evoke a sense of nostalgia and match the user's hobbies and interests.

[0655] Step 4:

[0656] The server organizes the content obtained through the search and generates material for the AI ​​agent to use for dialogue. The generated content is then sent to the terminal.

[0657] Step 5:

[0658] The device displays the content sent to the user appropriately. The AI ​​agent initiates a conversation, showing images and asking questions such as, "What memories do you have of this era?"

[0659] Step 6:

[0660] Users can freely express their thoughts based on the presented content. The AI ​​agent analyzes the user's responses in real time, adjusting the content and pace of subsequent questions accordingly.

[0661] Step 7:

[0662] The device records the content of the conversation and sends it to the server, thereby accumulating conversation data.

[0663] Step 8:

[0664] The server analyzes the recorded data to determine the user's emotions and conversational tendencies. Based on the analysis results, it creates a report to provide to caregivers and relatives.

[0665] Step 9:

[0666] The terminal monitors the user's unusual behavior and nighttime activities. If an anomaly is detected, it sends an alert to the server.

[0667] Step 10:

[0668] When the server receives an alert, it immediately notifies caregivers and registered relatives to encourage a quick response.

[0669] (Example 1)

[0670] 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".

[0671] Currently, providing care for the elderly and dementia patients faces challenges such as heavy human resource demands and significant caregiver burden, making it unsustainable. Furthermore, the difficulty in providing flexible care tailored to individual patient circumstances is another challenge. There is a need to utilize information technology to address these challenges and provide more effective and efficient care.

[0672] 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.

[0673] In this invention, the server includes means for acquiring information, means for searching and retrieving information from a storage device containing the information, and means for presenting generated dialogue content and facilitating the dialogue. This makes it possible to provide personalized care that meets individual needs and to reduce the burden on caregivers.

[0674] "Means of acquiring information" refers to functions or devices for collecting individual user information, enabling the system to incorporate information entered by users.

[0675] A "storage device that stores information" refers to a database or storage device used to store information such as past events and cultural backgrounds, and has a structure that allows for easy searching and retrieval of necessary information.

[0676] "Means for generating dialogue content" refers to algorithms and software that create personalized conversation material based on the user's individual information and past data.

[0677] "Means for presenting dialogue content and facilitating dialogue" refers to user interfaces and software that present the generated conversation content to the user and facilitate effective dialogue.

[0678] "Means for processing and analyzing recorded conversations to organize and report information" refers to functions and systems that systematically record conversations with users, analyze them, and convert them into information useful to caregivers.

[0679] "Means of monitoring behavior and issuing alarms when anomalies are detected" refers to monitoring systems and alert functions that observe user behavior and immediately issue warnings when activity deviates from normal patterns.

[0680] This invention is a system designed to support the care of the elderly and dementia patients. It consists of a server, terminals, and users interacting with each other. The system aims to stimulate cognitive function through personalized dialogue based on personal information.

[0681] The server first searches its database for personal information obtained from the user. This database contains information about past events and cultural background, and the server extracts information relevant to the user. Then, the server uses a generative AI model to generate dialogue content. This prompt might include something like, "Please recall a trip you enjoyed in the past, [User's Name]."

[0682] The device presents the generated dialogue to the user along with videos and images. The dialogue is conducted by an AI agent, and the content is flexibly modified in response to the user's reactions. The AI ​​agent uses natural language processing technology to interpret the user's responses in real time and determine the next step.

[0683] The specific hardware includes a display-equipped device to visually support user interaction, a microphone, and speakers. The software will utilize a database management system, natural language processing libraries, and AI agent programs.

[0684] These settings allow users to enjoy an interactive experience through sight and sound, and enable caregivers to provide appropriate care based on the information provided by the system. The system also plays a role in facilitating a quick response by monitoring user activity and immediately detecting and notifying caregivers of any abnormalities.

[0685] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0686] Step 1:

[0687] The user enters their personal information through the device. This information includes their name, age, and areas of interest. The device receives the entered information and sends it to the server. The entered data is used as baseline information to generate individual conversation content.

[0688] Step 2:

[0689] The server searches its storage for relevant historical information based on personal information received from the user. This search process uses database queries to extract events and cultural background information highly relevant to the user. The output forms the basis for dialogue materials presented to the user.

[0690] Step 3:

[0691] The server generates dialogue content using a generative AI model based on the information obtained from the search. In this process, prompt sentences are input into the AI ​​model to create personalized dialogue content. The generated dialogue is used in subsequent interactions. The output of this step is dialogue content in the form of specific questions and comments.

[0692] Step 4:

[0693] The terminal presents the user with the dialogue content received from the server and facilitates the conversation through an AI agent. The user interacts with the presented questions and images through the microphone and speaker while viewing the screen, engaging in two-way communication. The user's responses are recorded in real time by the terminal.

[0694] Step 5:

[0695] The terminal periodically sends recorded conversation content to the server. The server analyzes the received data to organize the user's emotional state and conversational patterns. Data analysis includes sentiment analysis using natural language processing and topic modeling. The output is generated as a report for caregivers.

[0696] Step 6:

[0697] The device monitors user activity and, if abnormal behavior is detected, it communicates with the server to issue an alarm. This process utilizes a behavioral monitoring system to identify unusual patterns. If an anomaly is detected, the server automatically sends a notification to the caregiver.

[0698] (Application Example 1)

[0699] 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".

[0700] There is a need to provide effective care for dementia patients while reducing the burden on caregivers. However, conventional systems have difficulty fully addressing the individual needs of dementia patients, and caregivers have difficulty taking appropriate responses in real time. This invention aims to solve these problems and improve the quality of life for dementia patients and reduce the burden on caregivers.

[0701] 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.

[0702] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, and means for generating dialogue based on the acquired past information. This enables personalized and nostalgic experiences for dementia patients and allows caregivers to respond appropriately in real time through analyzed reports.

[0703] "Personal information" refers to information specific to each individual user, such as their age, name, and areas of interest.

[0704] "Past information" refers to information stored in a database related to the user's past events and experiences.

[0705] "Dialogue" refers to linguistic communication that takes place between dementia patients and AI agents.

[0706] "Recorded conversations" refer to conversations between an AI agent and a user that have been saved in digital format.

[0707] "Abnormal behavior" refers to actions by dementia patients that deviate significantly from their normal lifestyle patterns.

[0708] "Notification" refers to a warning or notification that the system sends to the caregiver.

[0709] A "visual device" is a device worn by the user that captures images of the surroundings in real time and processes that data.

[0710] "Visual data" refers to image and video data acquired through visual devices.

[0711] "Image recognition" is the process of identifying specific objects or landmarks from acquired visual data.

[0712] A "generative AI model" is an artificial intelligence system that automatically creates new dialogues and information based on specific input data.

[0713] This invention is a system for streamlining care for dementia patients, and its main components are a server, a terminal, and user interaction. The server collects personal information and retrieves relevant information by searching a database of past information. Based on the retrieved information, an AI agent generates a dialogue. In this process, a generative AI model is used to automatically create a highly accurate dialogue.

[0714] The device acquires visual data through visual devices such as smart glasses. This acquired data is processed using image recognition technologies such as OpenCV to help identify past information related to the current environment. Based on these results, a generated dialogue is presented to provide the user with a nostalgic experience.

[0715] For example, when a user visits a park, if the location is associated with some past experience, an overlay image will be displayed with the message, "Do you remember having a picnic in this park a long time ago? You had a wonderful day, didn't you?" Furthermore, the data analyzed by the visual device is recorded by a server and later used to create analytical reports for caregivers.

[0716] An example of a prompt message could be: "The system has detected that the user is at the following location: {Park Name}. Please generate past memories and episodes associated with this location." This allows the system to instantly provide a personalized nostalgic experience based on the user's current location.

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

[0718] Step 1:

[0719] Collection of personal information by servers

[0720] The server receives personal information transmitted from the user or caregiver via a terminal. This information includes the user's name, age, and areas of interest. Based on this, the server creates a profile for accessing the database. The input data is the user's personal information, and the output is profile information recorded on the server.

[0721] Step 2:

[0722] Retrieval of historical information by the server

[0723] The server uses the profile information created in Step 1 to search and retrieve relevant historical information from the database. This retrieved information serves as the foundational data for generating personalized interactions with the user. The input is the profile information, and the output is the relevant historical information. This information is used to generate the interactions.

[0724] Step 3:

[0725] Dialogue generation using generative AI models

[0726] The server uses acquired historical information as input data and generates natural language dialogue using a generative AI model. This dialogue includes nostalgic topics and memories related to the user. The generated dialogue is later presented to the user via a terminal and used as part of the AI ​​agent's conversation. The output is the generated dialogue content, with natural language processing used to select words appropriate to the user's emotions and reactions.

[0727] Step 4:

[0728] Acquisition and processing of visual data by the device

[0729] The device acquires visual data in real time using the camera sensor of smart glasses. It utilizes image recognition technologies such as OpenCV to analyze the visual data and determine the user's current environment. This analysis allows for the recognition of specific landmarks and objects. The input is visual data, and the output is information about the recognized object or location.

[0730] Step 5:

[0731] Presentation of dialogue and recognition results generated by the terminal.

[0732] The device combines the dialogue generated in step 3 with the environmental information recognized in step 4 and presents it to the user through smart glasses. This allows the user to experience personalized dialogue related to their current visual environment. The input is the generated dialogue and recognition results, and the output is the presentation of familiar dialogue content in an overlaid form.

[0733] Step 6:

[0734] Server-based recording of conversation and behavior data.

[0735] The server receives and thoroughly records conversation records and behavioral data between the user and the AI ​​agent transmitted from the terminal. This recorded data is later used to generate reports for caregivers and to detect abnormal behavior. The input is conversation records and behavioral data, and the output is stored as recorded data.

[0736] Step 7:

[0737] Server-based detection and notification of abnormal behavior

[0738] The server analyzes the behavioral data recorded in step 6 and immediately sends a notification to the caregiver if there is a deviation from the normal activity pattern. This notification allows the caregiver to take appropriate action quickly. The input is the recorded behavioral data, and the output is the notification message to the caregiver.

[0739] 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.

[0740] This invention combines an emotion engine with an AI agent system designed for the care of dementia patients, enabling flexible dialogue that responds to the user's emotions, thereby reducing the burden on caregivers and improving the quality of life for patients.

[0741] This system is built on the interaction between the server, terminal, and user, recognizing the user's emotions in real time and responding accordingly. First, the user registers basic information (name, age, hobbies, etc.) through the terminal, and this information is sent to the server. The server searches past information based on the user's information, selects nostalgic images and videos, and generates conversational content.

[0742] When interacting with a user, the device uses an emotion engine to determine the user's emotions. For example, when displaying an image or video, if the user is smiling, it is recognized as a positive emotion, and the AI ​​agent responds with something like, "Those seem like happy memories." Conversely, if the user has a troubled expression, it is recognized as a negative emotion, and the AI ​​agent asks a follow-up question such as, "Is there something bothering you?"

[0743] The emotion engine evaluates the user's emotions through their voice and facial expressions, and reflects the results on the device in real time. The device uses this data as a key to adjust the pace and content of the conversation on the spot.

[0744] Furthermore, the device records the user's conversations and sends the data to a server. The server analyzes the conversation information, including emotional data, to track the user's emotional changes and generate reports that are useful for caregivers. This allows caregivers to gain a deeper understanding of the user's mental health and provide appropriate support.

[0745] This invention, by incorporating an emotional engine, enables more integrated care for dementia patients and improves the ability to respond to individual needs. This enhances the overall effectiveness of the system and allows for the provision of higher quality care.

[0746] The following describes the processing flow.

[0747] Step 1:

[0748] The user enters their basic information using a terminal, including their name, age, and areas of interest. This information is then sent from the terminal to the server.

[0749] Step 2:

[0750] Based on the basic information received, the server searches the database for past information related to the user. It then selects images and videos that evoke nostalgia from the search results and generates interactive content.

[0751] Step 3:

[0752] The server sends the generated interactive content to the terminal. The terminal prepares to display the content in the user interface.

[0753] Step 4:

[0754] Based on instructions from the AI ​​agent, the device displays images and videos to the user and initiates a conversation. It asks questions such as, "Do you remember this picture?" to prompt the user's response.

[0755] Step 5:

[0756] Users describe their memories and feelings about the images and videos displayed on the device. The emotion engine analyzes the user's voice and facial expressions in real time to determine the user's emotions.

[0757] Step 6:

[0758] The device's emotion engine identifies the user's emotions, and if positive emotions are detected, the AI ​​agent responds with something like, "Those were great times, weren't they?" If negative emotions are detected, it asks follow-up questions such as, "Why do you feel that way?"

[0759] Step 7:

[0760] The device records the content of the conversation and the user's emotional changes. This includes voice data and emotional data. The recorded data is sent to the server.

[0761] Step 8:

[0762] The server analyzes the transmitted data and evaluates the user's emotional tendencies and conversation topics. It then compiles the results and creates a report to provide to the caregiver.

[0763] Step 9:

[0764] The device has a protocol implemented that monitors the user's activity both during and outside of their active hours, and sends an alert to the server if abnormal behavior is detected.

[0765] Step 10:

[0766] When the server receives an alert, it quickly notifies the caregiver to support immediate response.

[0767] (Example 2)

[0768] 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".

[0769] In the care of dementia patients, there is a need for systems that enable flexible dialogue that responds to the patient's emotions. However, current technology makes it difficult to appropriately adjust dialogue based on changes in the user's emotions, increasing the burden on caregivers. Furthermore, there is a challenge in rapidly generating detailed reports that include emotional data and effectively utilizing them in care.

[0770] 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.

[0771] In this invention, the server includes means for acquiring personal information, means for searching and acquiring past information from a database, means for generating dialogue using a generation algorithm based on the acquired information, means for analyzing the user's voice and facial expressions to evaluate emotions, means for adjusting the content and pace of the dialogue based on the emotion evaluation, means for analyzing the recorded dialogue to generate a report including emotion data, and means for monitoring abnormal behavior and issuing alerts. This enables flexible dialogue that responds to the user's emotions, reduces the burden on caregivers, and improves the quality of life for patients.

[0772] "Personal information" refers to basic information that can identify an individual, such as a user's name, age, and hobbies.

[0773] A "database" is a collection of information organized for the purpose of efficiently searching for and retrieving information.

[0774] A "generative algorithm" refers to a computational method used to create meaningful conversational content from specific data.

[0775] "Voice and facial expression analysis" is an analytical method for evaluating emotions based on the voice and facial expressions emitted by the user.

[0776] "Emotional evaluation" refers to the process of determining a user's current emotional state as positive, negative, etc.

[0777] "Abnormal behavior" refers to actions or reactions that deviate from the normal range of behavior and require a warning.

[0778] An "alert" refers to a warning or notification used to alert people when abnormal behavior or an emergency occurs.

[0779] This invention provides a system that enables flexible dialogue tailored to the emotions of dementia patients. This system is configured based on the interaction between a server, a terminal, and a user.

[0780] First, the user enters basic information through a terminal. This basic information includes name, age, and hobbies, which are then sent to the server. The terminal is a computer device with an intuitive and easy-to-use interface for the user.

[0781] The server searches its database for past information based on the user information it receives. The server operates on a cloud computing environment and has the capability to perform various data processing tasks. Past information includes the user's activity history and images and videos that might interest them. Using the acquired data, the server generates conversational content through an algorithm employing a generative AI model. This generative AI model utilizes the latest machine learning techniques to automatically create natural and engaging conversations.

[0782] The device uses an emotion engine to recognize and analyze the user's voice and facial expressions, evaluating their emotions in real time. This engine captures the user's facial expressions using various sensors and employs advanced image processing technology for analysis. It also utilizes speech recognition technology to determine emotions from the content of the user's words.

[0783] The device automatically adjusts the content and pace of the conversation based on the results of emotion analysis. This allows it to respond to positive emotions with "That sounds like a fun memory," and follow up with negative emotions with "Is there something bothering you?"

[0784] Furthermore, the device records the interaction with the user and sends it to the server. The server analyzes this data, including emotional data, to generate a report that tracks the user's emotional changes. This report helps caregivers understand the user's condition in detail and take appropriate action.

[0785] For example, when a user smiles while looking at a photo of cherry blossoms on their device, the emotion engine recognizes that emotion as positive, and the AI ​​agent responds with, "Cherry blossom season is wonderful, isn't it?"

[0786] An example of a prompt is, "Think of a response to a picture of a user smiling."

[0787] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0788] Step 1:

[0789] Users enter personal information such as their name, age, and hobbies through their device. This information is sent to the device and later transferred to the server. Through this process, the system obtains the user's baseline profile.

[0790] Step 2:

[0791] The server uses the personal information received from the terminal as input to search its database. The database search finds nostalgic images and videos based on the user's past activities and interests. The search results are filtered and selected by the server and processed as interactive content.

[0792] Step 3:

[0793] The server uses an AI model to generate natural conversational content based on the selected data as input. This process constructs dialogue that the user would likely find interesting, taking into account the context related to the selected images and videos. The generated conversational content is then sent to the device.

[0794] Step 4:

[0795] The device presents the user with conversational content generated by a generative AI model. Simultaneously, it uses an emotion engine to analyze the user's emotions in real time. The emotion engine captures the user's facial expressions with sensors and evaluates their emotions by analyzing that data. The analysis results are output as the user's emotional status, such as smiling, confused, or interested.

[0796] Step 5:

[0797] The device uses the results of sentiment analysis as input to adjust the content and pace of the conversation. For example, if a positive emotion is detected, the AI ​​agent will respond with something like, "You seem happy." Conversely, if a negative emotion is detected, it will follow up with, "Is there anything you're worried about?" This step determines the specific response of the AI ​​agent to the user's reactions.

[0798] Step 6:

[0799] The terminal records user interaction and emotion evaluation data, and sends this record to the server. This data is output as log data, including conversation content and emotion status.

[0800] Step 7:

[0801] The server analyzes the recorded log data as input and generates detailed reports on the user's emotional changes and state. These reports provide valuable information for caregivers and can be used to develop further care plans.

[0802] (Application Example 2)

[0803] 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".

[0804] In a super-aging society, an increase in dementia patients is predicted, and the burden on caregivers is expected to increase even further. To solve this problem, a system is needed that allows for flexible dialogue that responds to the emotions of dementia patients. Improving the quality of life for patients and reducing the burden on caregivers are essential.

[0805] 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.

[0806] In this invention, the server includes means for evaluating an individual's emotions, means for determining emotions based on speech recognition and image recognition, and means for searching and retrieving past information from a database and generating dialogue appropriate to the individual's cognitive abilities. This makes it possible to accurately grasp the individual emotional state of dementia patients, provide dialogue and content suitable for the patient, and reduce the burden on caregivers.

[0807] "Means for evaluating individual emotions" refers to technologies that measure a user's emotional state from their voice and facial expressions, and then quantify or categorize it.

[0808] "Means for determining emotions based on speech recognition and image recognition" refers to technologies that analyze changes in voice tone and facial expressions to identify emotional states.

[0809] "A means of searching and retrieving past information from a database and generating dialogue tailored to cognitive abilities" refers to a technology that refers to the user's history information and profile, and constructs appropriate conversation content based on that information.

[0810] "Means for analyzing and reporting recorded dialogue and emotional data" refers to technology that analyzes the user's dialogue history and emotional changes, and creates reports for caregivers to see.

[0811] "Means for monitoring abnormal behavior and issuing warnings" refers to technologies that continuously observe user behavior and issue warnings when abnormalities are detected.

[0812] This invention is implemented as a system combining a user-operated terminal and a server for data processing. The terminal can be a smartphone or tablet, equipped with a camera and microphone to collect the user's facial expressions and voice. These terminals incorporate speech recognition libraries and facial recognition APIs, allowing for real-time evaluation of the user's emotions.

[0813] The server is built in a cloud environment and has a database that manages user profiles and conversational content. Specifically, Google's API is used for facial recognition and Amazon Polly for speech synthesis. In addition, a generative AI model is implemented to generate natural conversational content based on the user's past information.

[0814] Typically, the user first enters basic information through the device, which is then sent to the server. The server analyzes the user's registration information, selects images and videos that evoke nostalgia, and sends them to the device. The device then begins a conversation based on this information, adjusting its response in real time while performing emotion recognition. For example, if the user smiles, the facial recognition API detects this and responds with something like, "That's a moment that brings back memories." Furthermore, if the user appears to be deep in thought, the system can prompt them with a message such as, "What kind of memories does this bring back?" A concrete example of such a prompt might be, "Please tell me the story behind seeing this picture."

[0815] This configuration allows for flexible interaction that responds to the user's emotions, enabling more effective care for dementia patients.

[0816] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0817] Step 1:

[0818] The user enters basic information (name, age, hobbies, etc.) using a terminal. The entered data is sent to the server by the terminal. This input information is used for subsequent profile analysis and customization of the conversation content.

[0819] Step 2:

[0820] Based on the basic information received, the server searches the database for the user's past information and selects content (images and videos) that evokes a sense of nostalgia. The input here is the user's profile information, and the output is a list of content related to the user.

[0821] Step 3:

[0822] The terminal receives content sent from the server and displays it to the user. The terminal uses a speech recognition library and a facial recognition API to analyze the user's reactions (voice tone and facial expressions) and determine their emotions. As a result, the input is the user's facial expressions and voice data in real time, and the output is the result of the emotion identification.

[0823] Step 4:

[0824] The device uses a generative AI model to generate appropriate dialogue phrases based on the emotion assessment results. For example, if the user is smiling, it will engage in positive dialogue such as, "That brings back memories." Here, the emotion identification result serves as input, and the dialogue phrase is generated as output.

[0825] Step 5:

[0826] The content of conversations with the user is recorded sequentially by the terminal and sent to the server along with emotional data. The server analyzes this data and generates reports that can be used to help with future care. The input in this step is the conversation history and emotional data with the user, and the output is report data based on the analysis results.

[0827] Step 6:

[0828] The server provides the caregiver with the generated report, highlighting the user's emotional changes and the support they require. This allows caregivers to gain a deeper understanding of the user's mental health and use that knowledge to provide appropriate care. The input is report data, and the output is information in a report format that caregivers can view.

[0829] 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.

[0830] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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."

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] The following is further disclosed regarding the embodiments described above.

[0851] (Claim 1)

[0852] Means of acquiring personal information,

[0853] A means of searching and retrieving past information from a database,

[0854] A means of generating a dialogue based on acquired past information,

[0855] Means for analyzing and reporting recorded dialogues,

[0856] A means of monitoring abnormal behavior and issuing alerts,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, which presents images and videos that evoke a sense of nostalgia based on acquired past information.

[0860] (Claim 3)

[0861] The system according to claim 1, which adjusts the speed and tone of the dialogue according to the individual's response.

[0862] "Example 1"

[0863] (Claim 1)

[0864] Means of obtaining information,

[0865] A means for searching for and retrieving information from a storage device that stores information,

[0866] A means for generating dialogue content based on acquired information,

[0867] A means of presenting the generated dialogue content and facilitating the dialogue,

[0868] A means of processing and analyzing recorded dialogues to organize and report information,

[0869] A means of monitoring behavior and issuing an alarm if an anomaly is detected,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, which presents visual information that stimulates emotions based on acquired information.

[0873] (Claim 3)

[0874] The system according to claim 1, which adjusts the pace and tone of the dialogue to adapt to individual responses.

[0875] "Application Example 1"

[0876] (Claim 1)

[0877] Means of acquiring personal information,

[0878] A means of searching and retrieving past information from a database,

[0879] A means of generating a dialogue based on acquired past information,

[0880] Means for analyzing and reporting recorded dialogues,

[0881] A means of monitoring abnormal behavior and issuing notifications,

[0882] A means of acquiring visual data from a visual device and recognizing its content,

[0883] A means for generating dialogue based on image recognition results using a generative AI model,

[0884] A system that includes this.

[0885] (Claim 2)

[0886] The system according to claim 1, which presents images or videos that evoke a sense of nostalgia based on acquired past information and the surrounding environment.

[0887] (Claim 3)

[0888] The system according to claim 1, which adjusts the speed and tone of the dialogue in accordance with the individual's responses and data input from a visual device.

[0889] "Example 2 of combining an emotion engine"

[0890] (Claim 1)

[0891] Means of acquiring personal information,

[0892] A means of searching and retrieving past information from a database,

[0893] A means of generating a dialogue using a generation algorithm based on acquired past information,

[0894] A means of analyzing a user's voice and facial expressions to evaluate their emotions,

[0895] A means of adjusting the content and pace of the dialogue based on the evaluated emotions,

[0896] A means of analyzing recorded dialogues and generating reports that include emotional data,

[0897] A means of monitoring abnormal behavior and issuing alerts,

[0898] A system that includes this.

[0899] (Claim 2)

[0900] The system according to claim 1, which presents images and videos that evoke a sense of nostalgia based on acquired past information.

[0901] (Claim 3)

[0902] The system according to claim 1, which adjusts the speed and tone of the dialogue according to the individual's response based on the user's emotional evaluation.

[0903] "Application example 2 when combining with an emotional engine"

[0904] (Claim 1)

[0905] A means of evaluating individual emotions,

[0906] A means for determining emotions based on speech recognition and image recognition,

[0907] A means of searching and retrieving past information from a database and generating dialogue tailored to cognitive abilities,

[0908] A means of analyzing and reporting recorded dialogue and emotional data,

[0909] A means of monitoring abnormal behavior and issuing warnings,

[0910] A system that includes this.

[0911] (Claim 2)

[0912] The system according to claim 1, which presents images or videos that evoke a sense of nostalgia based on acquired past information and emotional data, and generates a natural response corresponding to the emotion.

[0913] (Claim 3)

[0914] The system according to claim 1, which adjusts the speed and tempo of a dialogue according to an individual's emotions and reactions, and tracks changes in emotions. [Explanation of Symbols]

[0915] 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. Means of acquiring personal information, A means of searching and retrieving past information from a database, A means of generating a dialogue based on acquired past information, Means for analyzing and reporting recorded dialogues, A means of monitoring abnormal behavior and issuing alerts, A system that includes this.

2. The system according to claim 1, which presents images and videos that evoke a sense of nostalgia based on acquired past information.

3. The system according to claim 1, which adjusts the speed and tone of the dialogue according to the individual's response.

Images