system

Abstract

We provide the system. [Solution] A topic provision method for automatically providing topics to users at pre-set times, A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member, A purchase support system that assists users in purchasing products through financial transactions based on their voice commands, An emergency notification system that automatically notifies emergency contacts based on explicit voice commands from the user, A dialogue generation means for understanding user utterances using speech recognition technology and generating appropriate conversation content, A topic generation method for generating topics based on the user's interests and concerns using a generative AI model, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The elderly often feel loneliness and anxiety in their daily lives. Especially when living away from their families, the lack of daily communication and the delay in responding to emergencies have become problems. Also, due to unfamiliarity with new technologies such as online shopping, it is difficult to smoothly procure necessary supplies. These problems are factors that reduce the mental health and quality of life of the elderly.

Means for Solving the Problems

[0005] This invention solves these problems by providing an interactive system for the elderly. Specifically, it comprises a system that includes a topic provision means that automatically provides topics to the user at a predetermined time, a message notification means that notifies the user of messages from third parties such as family members by voice at a specified time, a purchase support means that assists in purchasing products based on the user's voice commands, and an emergency notification means that automatically notifies emergency contacts, thereby supporting the user's daily life. This makes it possible to increase opportunities for daily communication, expedite responses in emergencies, and facilitate the procurement of daily necessities.

[0006] A "topic provision method" is a function that automatically provides users with appropriate topics via audio at pre-set times.

[0007] A "message notification system" is a function that notifies the user by voice at a specified time of a message sent by a third party, such as a family member.

[0008] A "purchase support tool" is a function that assists the user in purchasing necessary goods through financial transactions based on their voice commands.

[0009] The "emergency notification method" is a function that automatically sends a notification to registered emergency contacts based on an explicit voice command from the user.

[0010] A "notification mechanism" is a function that informs a third party, such as a family member, of the situation if there is no response from the user for a certain period of time. [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, when an emotion engine is combined. [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 labeled 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 labeled 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 labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0017] In the following embodiments, the labeled 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), and the like.

[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] The system of the present invention aims to increase opportunities for communication in the daily lives of elderly people and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0033] First, once the user starts the system, the terminal automatically provides the user with topics of conversation at a pre-set time. This is designed to increase opportunities for the user's everyday conversations by providing appropriate topics via voice based on information the terminal obtains from the server. For example, it might suggest, "It looks like the weather in your area will be sunny today. Shall we go for a walk?"

[0034] Furthermore, when a family member or third party sends a message using a dedicated app, the server receives the message and sends it to the device as an audio notification at a specified time. The device is designed to read the message aloud to the user and wait for a response. For example, it might say, "Your grandchild has a message for you. They'll come visit on Sunday."

[0035] Then, when the user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. In response, the terminal presents the user with options and confirms the order. Once the purchase is complete, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0036] Furthermore, in an emergency, if the user issues a voice command such as "It's an emergency," the device will automatically notify pre-registered emergency contacts. The notification is designed to include necessary location information and a description of the situation, enabling immediate response. The server also notifies family members of the situation in conjunction with this notification.

[0037] These features allow users to reduce everyday anxieties and live with greater peace of mind, while also enabling family members to remotely support the user's safety. This system provides an effective means of comprehensively supporting the lives of the elderly.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The device sets an alarm for a specific time each day. This acts as a trigger for generating conversation.

[0041] Step 2:

[0042] The device connects to the server and sends a request to retrieve topics related to the user's interests and preferences.

[0043] Step 3:

[0044] The server uses user profile information, current weather data, and news data to generate relevant topics.

[0045] Step 4:

[0046] The server sends the generated topic to the terminal.

[0047] Step 5:

[0048] The terminal provides the user with the topic it has received via speech synthesis.

[0049] Step 6:

[0050] Relatives send messages to the server through a dedicated application.

[0051] Step 7:

[0052] The server receives the message and, at the specified time, simultaneously saves the message to the schedule.

[0053] Step 8:

[0054] The device retrieves a message from the server at the specified time and notifies the user via voice.

[0055] Step 9:

[0056] The user gives a voice command saying, "I want to order some daily necessities."

[0057] Step 10:

[0058] The terminal sends a purchase request to the server and retrieves related product information.

[0059] Step 11:

[0060] The server generates a product list and sends it to the terminal.

[0061] Step 12:

[0062] The device presents the user with a product list via voice and confirms the purchase.

[0063] Step 13:

[0064] The server waits for final confirmation via voice command before processing the payment.

[0065] Step 14:

[0066] The user issues the emergency voice command, "It's an emergency."

[0067] Step 15:

[0068] The device recognizes this command and automatically sends a notification to registered emergency contacts.

[0069] Step 16:

[0070] The device reports the emergency to the server, and the server sends a notification to the family.

[0071] (Example 1)

[0072] 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."

[0073] In modern society, elderly people face challenges such as feeling lonely in their daily lives and being unable to respond quickly in emergencies. This situation exacerbates feelings of isolation and increases the risk of problems during emergencies. Therefore, there is a need to provide a system that allows elderly people to have opportunities for regular communication and to receive prompt support when needed.

[0074] 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.

[0075] In this invention, the server includes a topic provision means for automatically providing users with topics to facilitate communication at a predetermined time; a message notification means for notifying users by voice at a specified time of messages sent from a third party, such as a family member; and a purchase support means for assisting users in acquiring consumer goods through a transaction system based on their voice commands. This enables elderly people to reduce their daily anxieties and live fulfilling lives while receiving prompt support in emergencies.

[0076] A "topic provision means" is a device or function that provides topics based on information obtained from external sources in order to automatically facilitate appropriate communication opportunities for users.

[0077] A "message notification system" is a device or function that transmits messages sent from family members or third parties to the user via voice at a specified time.

[0078] A "purchase support device" is a device or function that interacts with a transaction system and provides relevant information to assist users in the process of acquiring products using voice commands.

[0079] An "emergency notification system" is a device or function that, upon receiving an emergency voice command from a user, automatically sends a notification, including location information and a description of the situation, to a pre-set emergency contact.

[0080] An "information device" is a device or infrastructure, such as a server, that acquires external information such as weather forecasts, news, and local events, and provides users with relevant topics based on that information.

[0081] "Notification means" refers to a device or function that notifies a third party if no response is received from the user for a certain period of time.

[0082] The system of this invention aims to increase opportunities for communication in daily life for the elderly and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0083] When a user starts this system, the device automatically provides the user with topics at pre-set times. By retrieving the latest information from the server, the device provides the user with voice-based topics based on a variety of themes, such as news, weather, and local events. This increases opportunities for users to enjoy everyday conversations. For example, the device might suggest, "The forecast is for sunshine today. How about planning a walk?"

[0084] Furthermore, when a family member or a third party sends a message through the dedicated app, the message is received by the server and sent to the device as an audio notification at a specified time. The device then reads the message aloud to the user and waits for a response. For example, it can convey a message such as, "Your grandchild has a message for you. They will visit on Sunday."

[0085] Furthermore, when a user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. This process utilizes a generative AI model to recommend products suitable for the user and clearly presents the options. Once the user makes a selection and confirms the order, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0086] In an emergency, when the user issues the voice command "It's an emergency," the device immediately notifies registered emergency contacts and transmits information including the user's location and a description of the situation. This notification enables a rapid response. The server also notifies family members of the situation, allowing for remote support.

[0087] Examples of prompts that use the generative AI model include "Please suggest topics for everyday conversation with elderly people" and "Please generate appropriate notification content for emergency response."

[0088] This system will make the lives of the elderly richer and safer, and reduce their daily anxieties. Families will also be able to create an environment where they can provide support to the elderly remotely.

[0089] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0090] Step 1:

[0091] When a user starts the system, the terminal retrieves information from the server to provide topics at a specified time. The inputs used are the user's profile information and the current date and time. The server queries external databases such as news, weather, and event information, filters the information relevant to the user, and sends it to the terminal. Based on this output, a generative AI model generates appropriate topics and delivers them to the user as voice messages.

[0092] Step 2:

[0093] When a message from a family member is sent to the server via a dedicated app, the server receives the message and sends it to the device at the specified time. The input consists of the message content and the specified time. The server temporarily stores the message in a database, converts it to a voice format at the specified time, and transmits it to the device. The device converts this information into a voice message and delivers it to the user. At this point, the system waits for the user's confirmation.

[0094] Step 3:

[0095] When a user issues a voice command such as "I want to order daily necessities," the terminal sends a request to the server. The input used is the voice command converted into text. The server, in conjunction with the trading system, retrieves product information and processes the data to present the user with available options. As output, it sends a product list to the terminal. The terminal then presents the options via voice, accepts the user's selection, confirms the final order, and sends it to the server.

[0096] Step 4:

[0097] In an emergency, if the user issues the command "It's an emergency," the device immediately notifies emergency contacts via the server. The input uses voice data and the device's current location information. The server generates a notification including the user's location and a description of the situation, and sends it to all registered emergency contacts. It also notifies family members to establish a support system. This output enables rapid assistance.

[0098] (Application Example 1)

[0099] 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."

[0100] Elderly people face reduced opportunities for communication in their daily lives and difficulty responding quickly in emergencies. Furthermore, they may experience a decline in their quality of life due to fewer opportunities to encounter new information and topics. There is a need to address these issues and provide an environment where elderly people can live with peace of mind.

[0101] 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.

[0102] In this invention, the server includes a topic provision means for automatically providing topics to the user at a predetermined time, a message notification means for notifying the user by voice at a specified time of a message sent from a third party such as a family member, and a purchase support means for assisting the user in purchasing goods through financial transactions based on the user's voice commands. This makes it possible to increase opportunities for conversation in the user's life and provide an environment in which they can live with peace of mind.

[0103] A "topic provision means" is a device or system that has the function of automatically providing users with appropriate topics at a predetermined time.

[0104] A "message notification device" is a device or system that has the function of notifying a user by voice at a specified time of a message sent by a third party, such as a family member.

[0105] A "purchase support device" is a device or system that has the function of supporting the purchase of goods through financial transactions based on the user's voice commands.

[0106] An "emergency notification system" is a device or system that has the function of automatically notifying registered emergency contacts in response to an explicit voice command from the user.

[0107] A "dialogue generation means" is a device or system that uses speech recognition technology to understand a user's utterances and generate appropriate conversation content.

[0108] A "topic generation method" is a device or system that utilizes a generation AI model to generate new topics based on the user's interests and concerns.

[0109] To implement this invention, the system uses a terminal installed in the user's living environment and a cloud-based server that provides various data. The terminal recognizes the user's voice and enables conversation and emergency response. The server works in conjunction with the terminal to provide various information.

[0110] The server uses speech recognition software to convert the user's speech into text, and then utilizes a generative AI model to generate appropriate responses or new topics. Here, commonly available technologies such as Google® Cloud Speech-to-Text are used for speech recognition. For the generative AI model, OpenAI®'s GPT series is used. This model generates prompt sentences based on information obtained from the server to generate topics that match the user's interests.

[0111] The device has a built-in speaker and microphone, and is capable of outputting acquired text as natural language speech. Furthermore, it enables two-way communication by processing voice commands entered by the user on the server side and sending the results back to the device. This function allows the device to have natural conversations with the user, such as "Can you tell me a recipe for this dish?"

[0112] For example, a prompt might be written as, "Please provide the following story in a friendly tone suitable for seniors. The topic is local weather. If possible, please include suggestions that encourage physical activity," and then provided to the generative AI model.

[0113] In this way, the system plays an important role in enriching the lives of the elderly and creating a safe and secure environment.

[0114] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0115] Step 1:

[0116] The user enters a voice command into the terminal. The terminal's microphone receives this voice in real time and converts it into digital audio data. The input is the user's verbal request, and the output is audio data in digital format.

[0117] Step 2:

[0118] The terminal sends digital audio data to the server. The server uses speech recognition software to convert this digital audio data into a text string. The input is audio data, and the output is recognized text information. This conversion process is performed using Google Cloud Speech-to-Text.

[0119] Step 3:

[0120] The server analyzes the converted text information to understand the user's request. Based on the analysis results, it generates appropriate prompt sentences. It utilizes a generative AI model to create topics and responses to suggest to the user based on the given information. Here, OpenAI's GPT series is used as the generative AI model. The input is the analyzed request, and the output is the generated prompt sentence and the corresponding response.

[0121] Step 4:

[0122] The server sends the generated prompt and response back to the terminal. The terminal receives this and provides audio feedback to the user through its speaker. The input is text information from the server, and the output is audio feedback to the user.

[0123] Step 5:

[0124] When the user enters a new voice command in response to feedback, the cycle from step 1 is repeated. This enables continuous interaction with the user.

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

[0126] This invention provides an interactive system that supports elderly people in living their daily lives with greater peace of mind. In particular, it aims to improve the user experience by incorporating an emotion engine that recognizes the user's emotional state and reflects it in each function of the system.

[0127] This system includes the following main components: First, the terminal uses speech recognition and facial recognition technology to recognize the user's emotions in real time from their speech and facial expressions. This information is sent to the server, and the user's emotion profile is updated.

[0128] The topic delivery method selects and delivers topics appropriate to the user based on this emotional profile. For example, if the user is feeling down, it is possible to prioritize providing positive topics that offer encouragement.

[0129] Furthermore, the emotion engine adjusts the output of the message notification system according to the user's emotional state. For example, if the user appears anxious, it might emphasize and notify them of warm messages from family members.

[0130] In purchasing support methods, explanations can be made more detailed or the number of options adjusted based on the user's emotional state, allowing them to make informed product choices.

[0131] Regarding emergency call methods, if the user's emotions indicate extreme fear or confusion, the system will automatically prepare to make an emergency call and, if necessary, immediately initiate the call.

[0132] In addition, the server records changes in the user's emotional state over the long term and sends emotional analysis reports to the family as needed. This allows the family to remotely monitor the user's mental health.

[0133] This embodiment allows elderly people to live richer and more secure lives, and enables their families to watch over them with peace of mind. The system provides an effective means to improve the quality of daily life for the elderly and to promote appropriate communication.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] The device continuously monitors the user's voice and facial expressions using its camera and microphone. This allows it to detect the user's emotions in real time.

[0137] Step 2:

[0138] The device inputs voice and facial expression data it acquires into an emotion engine, which then analyzes and recognizes the user's emotional state (e.g., joy, anxiety, sadness).

[0139] Step 3:

[0140] The device sends its emotional state to the server, updating the user's emotional profile.

[0141] Step 4:

[0142] The server generates and selects potential topics to offer that day based on the emotional profile.

[0143] Step 5:

[0144] The device uses speech synthesis to provide the user with appropriate topics.

[0145] Step 6:

[0146] Family members send messages to the server. Upon receiving a message, the device considers the user's emotional state and adjusts the tone and importance of the message's content.

[0147] Step 7:

[0148] The device notifies the user of messages via voice and collects emotionally sensitive feedback.

[0149] Step 8:

[0150] When a user places an order using a purchase assistance tool, the device adjusts the product description according to their emotional state at that time. For example, it decides whether to present a wide range of options or limit them to create a sense of security.

[0151] Step 9:

[0152] If a user issues an emergency command such as "It's urgent," the device will immediately assess the user's emotional state and, if it indicates extreme anxiety, will automatically make an emergency call.

[0153] Step 10:

[0154] The server collects and analyzes user emotional data over the long term and sends emotional analysis reports to family members as needed.

[0155] Step 11:

[0156] The family reviews the emotional analysis report received from the server and considers any necessary interventions or support.

[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 modern society, providing a safe and secure living environment for the elderly is a crucial issue. However, it is difficult to accurately assess the emotional and health conditions of the elderly remotely and provide appropriate support accordingly. Furthermore, the provision of information and support tailored to the individual needs and emotions of users is insufficient, highlighting the need for effective means to provide a safe and comfortable living environment.

[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 an emotion recognition and topic selection means that uses an analysis device to recognize the user's emotional state and selects and adapts topics based on the recognition results; a product selection optimization means that optimizes and provides product information based on the user's emotional state; and an emergency emotion detection and notification means that automatically notifies emergency contacts when an extreme change in emotion is detected. This makes it possible to provide an environment in which elderly people can live with greater peace of mind through the provision of appropriate information and support according to the user's emotional state.

[0162] "Information provision means" refers to a device or method for automatically providing users with topics and information in audio or visual form based on a set time and situation.

[0163] "Emotion recognition and topic selection means" refers to a device or method for analyzing a user's emotional state and, based on the results, selecting and providing the most appropriate topic for each individual user.

[0164] "Message adjustment and notification means" refers to a device or method for adjusting messages or messages from a third party according to the emotional state received by the user, and notifying the user of these messages by voice.

[0165] A "product selection optimization means" is a device or method for optimizing product information and options and proposing them to a user, taking into account the user's emotional state.

[0166] An "emergency emotion detection and notification device" is a device or method that automatically detects when a user's emotions change drastically and notifies pre-registered emergency contacts.

[0167] A "generative AI model" is an artificial intelligence model that has the ability to generate new information based on input data and context.

[0168] A "prompt message" is a document or instruction given to a generative AI model to prompt it to produce a specific response or information.

[0169] This invention relates to an interactive system that supports elderly people in living their daily lives with peace of mind. The system aims to improve the quality of life by recognizing the user's emotional state and providing information accordingly.

[0170] The system primarily consists of terminals and servers. The terminals utilize speech recognition and facial expression recognition technologies to recognize the user's emotional state in real time from their speech and facial expressions. For speech recognition, general speech-to-text conversion software is used, while image analysis technology is employed for facial expression recognition. This allows the user's emotional state to be analyzed, and this information is then transmitted to the server.

[0171] The server uses advanced data processing techniques to update the user profile based on their emotional state. Based on this profile, a generative AI model is used to generate topics appropriate for the user. For example, if the user is feeling down, the generative AI model might suggest a positive topic such as, "How about we make time today to talk about your favorite hobbies?" An example of a prompt to input to the generative AI model would be, "Generate topics that match the current emotional state."

[0172] Furthermore, the emotional engine can be used to adjust the content of messages and how products are presented. If the user is feeling anxious, the device will highlight and notify them of warm messages from family members. Also, when selecting products, the explanations will be more detailed and the options narrowed down, reducing the burden of decision-making for the user.

[0173] This system has a function that can automatically notify pre-registered emergency contacts if an emergency is detected. It allows for a rapid response when the user's emotions become extremely unstable. Furthermore, the server records the user's emotional fluctuations and periodically sends analysis reports to the family, allowing for remote monitoring of the user's mental health.

[0174] For example, if a user says "Today isn't a very good day" in a casual conversation, the system will pick up on this information and suggest positive content. Furthermore, a generative AI model can be used to generate prompts such as, "Generate five topics to cheer up a user who is feeling down."

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

[0176] Step 1:

[0177] The device acquires the user's voice and facial expression data. This process uses the built-in microphone and camera. The input consists of the user's spoken voice and real-time facial expressions. This data is converted into emotional information using speech recognition and facial expression recognition technologies. The output is the user's emotional state (e.g., joy, anxiety, depression).

[0178] Step 2:

[0179] The terminal sends the acquired emotional state data to the server. A secure communication protocol is used to ensure the data's safety. The input is the emotional state information obtained in the previous step, and the output is the accurate delivery of the recognition information to the server.

[0180] Step 3:

[0181] The server updates the user's emotional profile based on the received emotional state information. Here, an emotional analysis algorithm is used to integrate the received emotional data with past data and reflect it in the profile. The output is the user's most recent emotional profile.

[0182] Step 4:

[0183] The server generates appropriate topics using a generative AI model based on the emotion profile. In this step, the input is the latest emotion profile and the prompt "Generate topics that match the current emotion state." Data processing generates topics suitable for the user as output.

[0184] Step 5:

[0185] The terminal receives a topic from the server, converts it into speech using speech synthesis technology, and provides it to the user. The input is the generated topic text, and the output is the spoken topic. It is important that the output in this step is natural-sounding speech.

[0186] Step 6:

[0187] The server adjusts the message according to the user's emotional state and sends it to the terminal. The input consists of the user profile and a draft message from a third party. The output is an adjusted message tailored to the user's emotional state, which is delivered to the terminal as audio.

[0188] Step 7:

[0189] The device provides the user with product information based on their emotional state. Inputs are an emotional profile and a list of suggested products. Output is refined and detailed product information. Specifically, the information is provided in a concise and easy-to-understand format, either through voice or text.

[0190] Step 8:

[0191] If the server detects an extreme change in emotion, it immediately activates an emergency call protocol. The input here is the emotion change information from the previous step, and the output is the execution of an emergency call and notification to the contacts. This operation is required to be fast and accurate.

[0192] Step 9:

[0193] The server analyzes emotional data over a certain period and sends an emotional analysis report to the family as needed. The input data is information about the user's long-term emotional trends, and the output is an analyzed emotional report. This report is sent via email or other means, providing support for family members to understand the user's mental state remotely.

[0194] (Application Example 2)

[0195] 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."

[0196] There is a need for effective support systems that assist the psychological health of the elderly and enable them to live safe and secure daily lives. In particular, because the elderly are prone to feelings of loneliness and anxiety, a system is needed that can appropriately recognize their emotional state and respond accordingly. It is also important for family members to monitor the elderly's condition remotely and provide support as needed.

[0197] 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.

[0198] In this invention, the server includes emotion recognition means for analyzing the user's emotions in real time, information provision means for automatically providing topics to the user at a predetermined time, and message notification means for notifying the user by voice at a specified time of messages sent from a third party, such as a family member. This makes it possible to provide appropriate responses according to the emotional state of the elderly and support a safe and fulfilling daily life. In addition, family members can remotely check on the elderly person's condition and provide support as needed.

[0199] "Users" refers to anyone who uses the system, including elderly people and other individuals who require support.

[0200] "Emotion recognition means" refers to technologies and systems for analyzing a user's emotional state in real time.

[0201] "Information provision means" refers to devices and technologies used to provide users with appropriate information and topics.

[0202] "Message notification means" refers to a method and device for notifying a user of a message sent by a third party, such as a family member, via voice.

[0203] "Purchase support means" refers to technologies and systems that assist users in selecting products through transactions based on their voice instructions.

[0204] "Emergency notification means" refers to the function and technology that automatically notifies emergency contacts based on voice commands from the user.

[0205] A "server" refers to a computer system used to process data and perform various functions.

[0206] The system for realizing this invention includes emotion recognition means, information provision means, and message notification means for recognizing the emotional state of a user and providing appropriate information based on that state. The server is an internet-connected computer system that implements the programs necessary to perform these means.

[0207] The emotion recognition system includes software that combines speech recognition and facial expression recognition technologies, and uses the Google Cloud Speech-to-Text API and OpenCV libraries to process data acquired from the device's camera and microphone in real time. This processing analyzes the user's emotional state and generates an emotion profile.

[0208] The information delivery method utilizes data obtained from external information processing systems to provide users with topics and content at appropriate times. This data includes weather information and user interest information, and is used to select topics appropriate to the user's emotional state.

[0209] The message notification system receives messages sent from family members or third parties and notifies the user appropriately based on their voice and emotional state. This function sends notifications via the Twilio API and delivers messages using common communication methods.

[0210] For example, if a user has a sad expression, the server will prioritize providing positive video content, and in emergencies, it will send a message to the family such as, "Mom seems a little down. Please contact her if you are worried." Another example of a prompt using a generative AI model is, "I am thinking of a care support app that responds in real time to the user's emotional state. Please tell me the necessary technologies and implementation methods for designing a system that can provide positive content when an elderly person is depressed and notify the family when they are anxious or confused." In this way, it becomes possible to realize a system that provides peace of mind and joy to the elderly.

[0211] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0212] Step 1:

[0213] The device uses its camera and microphone to capture video and audio from the user. This input data includes the user's facial expressions and speech.

[0214] Step 2:

[0215] The device analyzes the user's facial expressions from image data acquired using the OpenCV library. In parallel, it converts the audio data into text using the Google Cloud Speech-to-Text API. This provides the foundational data needed to understand the user's emotions. The output is text data necessary for emotion analysis.

[0216] Step 3:

[0217] The server uses an emotion engine to analyze the user's emotional state based on the text data obtained in step 2. The input is the aforementioned text data, and the output is information recorded as the user's emotional profile. This allows for a concrete evaluation of the user's current emotional state.

[0218] Step 4:

[0219] The server selects appropriate information and topics based on the user's emotional profile. It retrieves weather information and interest data from external information processing devices to provide the user with the most suitable content. In this case, the input is the emotional profile and external data, and the output is the selected content information.

[0220] Step 5:

[0221] The server adjusts messages received from third parties, such as family members, to match the user's emotional state and notifies the user via voice message using a voice notification system. The input is the received message, and the output is the voice information that the user receives aurally.

[0222] Step 6:

[0223] In case of emergency, the server uses the Twilio API to send an appropriate alert message to emergency contacts. The input is the user's sentiment profile and current state, and the output is notification information for the third party receiving the alert.

[0224] Step 7:

[0225] The server receives user feedback and records emotional profiles and system responses over the long term. This allows the system's accuracy to gradually improve, thereby enhancing the quality of service provided to users.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] [Second Embodiment]

[0230] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0231] 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.

[0232] 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).

[0233] 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.

[0234] 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.

[0235] 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).

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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.

[0241] 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".

[0242] The system of the present invention aims to increase opportunities for communication in the daily lives of elderly people and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0243] First, once the user starts the system, the terminal automatically provides the user with topics of conversation at a pre-set time. This is designed to increase opportunities for the user's everyday conversations by providing appropriate topics via voice based on information the terminal obtains from the server. For example, it might suggest, "It looks like the weather in your area will be sunny today. Shall we go for a walk?"

[0244] Furthermore, when a family member or third party sends a message using a dedicated app, the server receives the message and sends it to the device as an audio notification at a specified time. The device is designed to read the message aloud to the user and wait for a response. For example, it might say, "Your grandchild has a message for you. They'll come visit on Sunday."

[0245] Then, when the user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. In response, the terminal presents the user with options and confirms the order. Once the purchase is complete, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0246] Furthermore, in an emergency, if the user issues a voice command such as "It's an emergency," the device will automatically notify pre-registered emergency contacts. The notification is designed to include necessary location information and a description of the situation, enabling immediate response. The server also notifies family members of the situation in conjunction with this notification.

[0247] These features allow users to reduce everyday anxieties and live with greater peace of mind, while also enabling family members to remotely support the user's safety. This system provides an effective means of comprehensively supporting the lives of the elderly.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] The device sets an alarm for a specific time each day. This acts as a trigger for generating conversation.

[0251] Step 2:

[0252] The device connects to the server and sends a request to retrieve topics related to the user's interests and preferences.

[0253] Step 3:

[0254] The server uses user profile information, current weather data, and news data to generate relevant topics.

[0255] Step 4:

[0256] The server sends the generated topic to the terminal.

[0257] Step 5:

[0258] The terminal provides the user with the topic it has received via speech synthesis.

[0259] Step 6:

[0260] Relatives send messages to the server through a dedicated application.

[0261] Step 7:

[0262] The server receives the message and, at the specified time, simultaneously saves the message to the schedule.

[0263] Step 8:

[0264] The device retrieves a message from the server at the specified time and notifies the user via voice.

[0265] Step 9:

[0266] The user gives a voice command saying, "I want to order some daily necessities."

[0267] Step 10:

[0268] The terminal sends a purchase request to the server and retrieves related product information.

[0269] Step 11:

[0270] The server generates a product list and sends it to the terminal.

[0271] Step 12:

[0272] The device presents the user with a product list via voice and confirms the purchase.

[0273] Step 13:

[0274] The server waits for final confirmation via voice command before processing the payment.

[0275] Step 14:

[0276] The user issues the emergency voice command, "It's an emergency."

[0277] Step 15:

[0278] The device recognizes this command and automatically sends a notification to registered emergency contacts.

[0279] Step 16:

[0280] The device reports the emergency to the server, and the server sends a notification to the family.

[0281] (Example 1)

[0282] 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."

[0283] In modern society, elderly people face challenges such as feeling lonely in their daily lives and being unable to respond quickly in emergencies. This situation exacerbates feelings of isolation and increases the risk of problems during emergencies. Therefore, there is a need to provide a system that allows elderly people to have opportunities for regular communication and to receive prompt support when needed.

[0284] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means respectively.

[0285] In this invention, the server includes: a topic providing means for providing a topic for automatically promoting communication to the user at a preset time; a message notification means for notifying the user of a message sent from a third party such as a family member by voice at a specified time; and a purchase support means for assisting in obtaining consumer goods via a transaction system based on the user's voice command. This enables the elderly to reduce daily anxiety and enjoy a rich life while receiving prompt assistance even in an emergency.

[0286] The "topic providing means" is a device or function that provides a topic based on information obtained from the outside to automatically promote an appropriate communication opportunity for the user.

[0287] The "message notification means" is a device or function that conveys a message sent from a family member or a third party to the user by voice at a specified time.

[0288] The "purchase support means" is a device or function that cooperates with a transaction system to provide relevant information to assist the process by which the user obtains a product using a voice command.

[0289] The "emergency reporting means" is a device or function that automatically makes a report including location information and situation description to a preset emergency contact upon receiving an emergency voice command from the user.

[0290] The "information device" is a device or infrastructure such as a server that obtains external information such as weather forecasts, news, and local events, and provides relevant topics to the user based on this information.

[0291] The "notification means" is a device or function for notifying a third party to that effect when no response from the user has been seen for a certain period.

[0292] The system of this invention aims to increase opportunities for communication in daily life for the elderly and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0293] When a user starts this system, the device automatically provides the user with topics at pre-set times. By retrieving the latest information from the server, the device provides the user with voice-based topics based on a variety of themes, such as news, weather, and local events. This increases opportunities for users to enjoy everyday conversations. For example, the device might suggest, "The forecast is for sunshine today. How about planning a walk?"

[0294] Furthermore, when a family member or a third party sends a message through the dedicated app, the message is received by the server and sent to the device as an audio notification at a specified time. The device then reads the message aloud to the user and waits for a response. For example, it can convey a message such as, "Your grandchild has a message for you. They will visit on Sunday."

[0295] Furthermore, when a user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. This process utilizes a generative AI model to recommend products suitable for the user and clearly presents the options. Once the user makes a selection and confirms the order, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0296] In an emergency, when the user issues the voice command "It's an emergency," the device immediately notifies registered emergency contacts and transmits information including the user's location and a description of the situation. This notification enables a rapid response. The server also notifies family members of the situation, allowing for remote support.

[0297] Examples of prompts that use the generative AI model include "Please suggest topics for everyday conversation with elderly people" and "Please generate appropriate notification content for emergency response."

[0298] This system will make the lives of the elderly richer and safer, and reduce their daily anxieties. Families will also be able to create an environment where they can provide support to the elderly remotely.

[0299] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0300] Step 1:

[0301] When a user starts the system, the terminal retrieves information from the server to provide topics at a specified time. The inputs used are the user's profile information and the current date and time. The server queries external databases such as news, weather, and event information, filters the information relevant to the user, and sends it to the terminal. Based on this output, a generative AI model generates appropriate topics and delivers them to the user as voice messages.

[0302] Step 2:

[0303] When a message from a family member is sent to the server via a dedicated app, the server receives the message and sends it to the device at the specified time. The input consists of the message content and the specified time. The server temporarily stores the message in a database, converts it to a voice format at the specified time, and transmits it to the device. The device converts this information into a voice message and delivers it to the user. At this point, the system waits for the user's confirmation.

[0304] Step 3:

[0305] When the user issues a voice command "I want to order daily necessities", the terminal sends a request to the server. As input, it uses the information obtained by converting the voice command into text. The server cooperates with the transaction system to obtain product information and performs data processing to present purchasable options to the user. As its output, it sends a product list to the terminal. The terminal presents options by voice, accepts the user's selection, and then finalizes the order and sends it to the server.

[0306] Step 4:

[0307] When the user issues a command "It's an emergency" in an emergency, the terminal immediately notifies the emergency contacts via the server. As input, it uses voice data and the terminal's current location information. The server generates notification content including the user's location information and situation description, and sends notifications to all registered emergency contacts. Also, it notifies the family of the situation to establish a support system. This output enables rapid support.

[0308] (Application Example 1)

[0309] 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".

[0310] The elderly have fewer opportunities for communication in their daily lives and it is difficult to respond promptly in an emergency. Furthermore, since they have fewer opportunities to encounter new information and topics, there is a risk that the quality of life will decline. There is a need to solve such problems and provide an environment in which the elderly can live with peace of mind.

[0311] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0312] ]In this invention, the server includes a topic provision means for automatically providing topics to the user at a predetermined time, a message notification means for notifying the user by voice at a specified time of a message sent from a third party such as a family member, and a purchase support means for assisting the user in purchasing goods through financial transactions based on the user's voice commands. This makes it possible to increase opportunities for conversation in the user's life and provide an environment in which they can live with peace of mind.

[0313] A "topic provision means" is a device or system that has the function of automatically providing users with appropriate topics at a predetermined time.

[0314] A "message notification device" is a device or system that has the function of notifying a user by voice at a specified time of a message sent by a third party, such as a family member.

[0315] A "purchase support device" is a device or system that has the function of supporting the purchase of goods through financial transactions based on the user's voice commands.

[0316] An "emergency notification system" is a device or system that has the function of automatically notifying registered emergency contacts in response to an explicit voice command from the user.

[0317] A "dialogue generation means" is a device or system that uses speech recognition technology to understand a user's utterances and generate appropriate conversation content.

[0318] A "topic generation method" is a device or system that utilizes a generation AI model to generate new topics based on the user's interests and concerns.

[0319] To implement this invention, the system uses a terminal installed in the user's living environment and a cloud-based server that provides various data. The terminal recognizes the user's voice and enables conversation and emergency response. The server works in conjunction with the terminal to provide various information.

[0320] The server uses speech recognition software to convert user speech into text, and then utilizes a generative AI model to generate appropriate responses or new topics. Here, commonly available technologies such as Google Cloud Speech-to-Text are used for speech recognition. For the generative AI model, OpenAI's GPT series is used. This model generates prompt sentences based on information obtained from the server to generate topics tailored to the user's interests.

[0321] The device has a built-in speaker and microphone, and is capable of outputting acquired text as natural language speech. Furthermore, it enables two-way communication by processing voice commands entered by the user on the server side and sending the results back to the device. This function allows the device to have natural conversations with the user, such as "Can you tell me a recipe for this dish?"

[0322] For example, a prompt might be written as, "Please provide the following story in a friendly tone suitable for seniors. The topic is local weather. If possible, please include suggestions that encourage physical activity," and then provided to the generative AI model.

[0323] In this way, the system plays an important role in enriching the lives of the elderly and creating a safe and secure environment.

[0324] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0325] Step 1:

[0326] The user enters a voice command into the terminal. The terminal's microphone receives this voice in real time and converts it into digital audio data. The input is the user's verbal request, and the output is audio data in digital format.

[0327] Step 2:

[0328] The terminal sends digital audio data to the server. The server uses speech recognition software to convert this digital audio data into a text string. The input is audio data, and the output is recognized text information. This conversion process is performed using Google Cloud Speech-to-Text.

[0329] Step 3:

[0330] The server analyzes the converted text information to understand the user's request. Based on the analysis results, it generates appropriate prompt sentences. It utilizes a generative AI model to create topics and responses to suggest to the user based on the given information. Here, OpenAI's GPT series is used as the generative AI model. The input is the analyzed request, and the output is the generated prompt sentence and the corresponding response.

[0331] Step 4:

[0332] The server sends the generated prompt and response back to the terminal. The terminal receives this and provides audio feedback to the user through its speaker. The input is text information from the server, and the output is audio feedback to the user.

[0333] Step 5:

[0334] When the user enters a new voice command in response to feedback, the cycle from step 1 is repeated. This enables continuous interaction with the user.

[0335] 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.

[0336] This invention provides an interactive system that supports elderly people in living their daily lives with greater peace of mind. In particular, it aims to improve the user experience by incorporating an emotion engine that recognizes the user's emotional state and reflects it in each function of the system.

[0337] This system includes the following main components: First, the terminal uses speech recognition and facial recognition technology to recognize the user's emotions in real time from their speech and facial expressions. This information is sent to the server, and the user's emotion profile is updated.

[0338] The topic delivery method selects and delivers topics appropriate to the user based on this emotional profile. For example, if the user is feeling down, it is possible to prioritize providing positive topics that offer encouragement.

[0339] Furthermore, the emotion engine adjusts the output of the message notification system according to the user's emotional state. For example, if the user appears anxious, it might emphasize and notify them of warm messages from family members.

[0340] In purchasing support methods, explanations can be made more detailed or the number of options adjusted based on the user's emotional state, allowing them to make informed product choices.

[0341] Regarding emergency call methods, if the user's emotions indicate extreme fear or confusion, the system will automatically prepare to make an emergency call and, if necessary, immediately initiate the call.

[0342] In addition, the server records changes in the user's emotional state over the long term and sends emotional analysis reports to the family as needed. This allows the family to remotely monitor the user's mental health.

[0343] This embodiment allows elderly people to live richer and more secure lives, and enables their families to watch over them with peace of mind. The system provides an effective means to improve the quality of daily life for the elderly and to promote appropriate communication.

[0344] The following describes the processing flow.

[0345] Step 1:

[0346] The device continuously monitors the user's voice and facial expressions using its camera and microphone. This allows it to detect the user's emotions in real time.

[0347] Step 2:

[0348] The device inputs voice and facial expression data it acquires into an emotion engine, which then analyzes and recognizes the user's emotional state (e.g., joy, anxiety, sadness).

[0349] Step 3:

[0350] The device sends its emotional state to the server, updating the user's emotional profile.

[0351] Step 4:

[0352] The server generates and selects potential topics to offer that day based on the emotional profile.

[0353] Step 5:

[0354] The device uses speech synthesis to provide the user with appropriate topics.

[0355] Step 6:

[0356] Family members send messages to the server. Upon receiving a message, the device considers the user's emotional state and adjusts the tone and importance of the message's content.

[0357] Step 7:

[0358] The device notifies the user of messages via voice and collects emotionally sensitive feedback.

[0359] Step 8:

[0360] When a user places an order using a purchase assistance tool, the device adjusts the product description according to their emotional state at that time. For example, it decides whether to present a wide range of options or limit them to create a sense of security.

[0361] Step 9:

[0362] If a user issues an emergency command such as "It's urgent," the device will immediately assess the user's emotional state and, if it indicates extreme anxiety, will automatically make an emergency call.

[0363] Step 10:

[0364] The server collects and analyzes user emotional data over the long term and sends emotional analysis reports to family members as needed.

[0365] Step 11:

[0366] The family reviews the emotional analysis report received from the server and considers any necessary interventions or support.

[0367] (Example 2)

[0368] 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".

[0369] In modern society, providing a safe and secure living environment for the elderly is a crucial issue. However, it is difficult to accurately assess the emotional and health conditions of the elderly remotely and provide appropriate support accordingly. Furthermore, the provision of information and support tailored to the individual needs and emotions of users is insufficient, highlighting the need for effective means to provide a safe and comfortable living environment.

[0370] 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.

[0371] In this invention, the server includes an emotion recognition and topic selection means that uses an analysis device to recognize the user's emotional state and selects and adapts topics based on the recognition results; a product selection optimization means that optimizes and provides product information based on the user's emotional state; and an emergency emotion detection and notification means that automatically notifies emergency contacts when an extreme change in emotion is detected. This makes it possible to provide an environment in which elderly people can live with greater peace of mind through the provision of appropriate information and support according to the user's emotional state.

[0372] "Information provision means" refers to a device or method for automatically providing users with topics and information in audio or visual form based on a set time and situation.

[0373] "Emotion recognition and topic selection means" refers to a device or method for analyzing a user's emotional state and, based on the results, selecting and providing the most appropriate topic for each individual user.

[0374] "Message adjustment and notification means" refers to a device or method for adjusting messages or messages from a third party according to the emotional state received by the user, and notifying the user of these messages by voice.

[0375] A "product selection optimization means" is a device or method for optimizing product information and options and proposing them to a user, taking into account the user's emotional state.

[0376] An "emergency emotion detection and notification device" is a device or method that automatically detects when a user's emotions change drastically and notifies pre-registered emergency contacts.

[0377] A "generative AI model" is an artificial intelligence model that has the ability to generate new information based on input data and context.

[0378] A "prompt message" is a document or instruction given to a generative AI model to prompt it to produce a specific response or information.

[0379] This invention relates to an interactive system that supports elderly people in living their daily lives with peace of mind. The system aims to improve the quality of life by recognizing the user's emotional state and providing information accordingly.

[0380] The system primarily consists of terminals and servers. The terminals utilize speech recognition and facial expression recognition technologies to recognize the user's emotional state in real time from their speech and facial expressions. For speech recognition, general speech-to-text conversion software is used, while image analysis technology is employed for facial expression recognition. This allows the user's emotional state to be analyzed, and this information is then transmitted to the server.

[0381] The server uses advanced data processing techniques to update the user profile based on their emotional state. Based on this profile, a generative AI model is used to generate topics appropriate for the user. For example, if the user is feeling down, the generative AI model might suggest a positive topic such as, "How about we make time today to talk about your favorite hobbies?" An example of a prompt to input to the generative AI model would be, "Generate topics that match the current emotional state."

[0382] Furthermore, the emotional engine can be used to adjust the content of messages and how products are presented. If the user is feeling anxious, the device will highlight and notify them of warm messages from family members. Also, when selecting products, the explanations will be more detailed and the options narrowed down, reducing the burden of decision-making for the user.

[0383] This system has a function that can automatically notify pre-registered emergency contacts if an emergency is detected. It allows for a rapid response when the user's emotions become extremely unstable. Furthermore, the server records the user's emotional fluctuations and periodically sends analysis reports to the family, allowing for remote monitoring of the user's mental health.

[0384] For example, if a user says "Today isn't a very good day" in a casual conversation, the system will pick up on this information and suggest positive content. Furthermore, a generative AI model can be used to generate prompts such as, "Generate five topics to cheer up a user who is feeling down."

[0385] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0386] Step 1:

[0387] The device acquires the user's voice and facial expression data. This process uses the built-in microphone and camera. The input consists of the user's spoken voice and real-time facial expressions. This data is converted into emotional information using speech recognition and facial expression recognition technologies. The output is the user's emotional state (e.g., joy, anxiety, depression).

[0388] Step 2:

[0389] The terminal sends the acquired emotional state data to the server. A secure communication protocol is used to ensure the data's safety. The input is the emotional state information obtained in the previous step, and the output is the accurate delivery of the recognition information to the server.

[0390] Step 3:

[0391] The server updates the user's emotional profile based on the received emotional state information. Here, an emotional analysis algorithm is used to integrate the received emotional data with past data and reflect it in the profile. The output is the user's most recent emotional profile.

[0392] Step 4:

[0393] The server generates appropriate topics using a generative AI model based on the emotion profile. In this step, the input is the latest emotion profile and the prompt "Generate topics that match the current emotion state." Data processing generates topics suitable for the user as output.

[0394] Step 5:

[0395] The terminal receives a topic from the server, converts it into speech using speech synthesis technology, and provides it to the user. The input is the generated topic text, and the output is the spoken topic. It is important that the output in this step is natural-sounding speech.

[0396] Step 6:

[0397] The server adjusts the message according to the user's emotional state and sends it to the terminal. The input consists of the user profile and a draft message from a third party. The output is an adjusted message tailored to the user's emotional state, which is delivered to the terminal as audio.

[0398] Step 7:

[0399] The device provides the user with product information based on their emotional state. Inputs are an emotional profile and a list of suggested products. Output is refined and detailed product information. Specifically, the information is provided in a concise and easy-to-understand format, either through voice or text.

[0400] Step 8:

[0401] If the server detects an extreme change in emotion, it immediately activates an emergency call protocol. The input here is the emotion change information from the previous step, and the output is the execution of an emergency call and notification to the contacts. This operation is required to be fast and accurate.

[0402] Step 9:

[0403] The server analyzes emotional data over a certain period and sends an emotional analysis report to the family as needed. The input data is information about the user's long-term emotional trends, and the output is an analyzed emotional report. This report is sent via email or other means, providing support for family members to understand the user's mental state remotely.

[0404] (Application Example 2)

[0405] 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."

[0406] There is a need for effective support systems that assist the psychological health of the elderly and enable them to live safe and secure daily lives. In particular, because the elderly are prone to feelings of loneliness and anxiety, a system is needed that can appropriately recognize their emotional state and respond accordingly. It is also important for family members to monitor the elderly's condition remotely and provide support as needed.

[0407] 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.

[0408] In this invention, the server includes emotion recognition means for analyzing the user's emotions in real time, information provision means for automatically providing topics to the user at a predetermined time, and message notification means for notifying the user by voice at a specified time of messages sent from a third party, such as a family member. This makes it possible to provide appropriate responses according to the emotional state of the elderly and support a safe and fulfilling daily life. In addition, family members can remotely check on the elderly person's condition and provide support as needed.

[0409] "Users" refers to anyone who uses the system, including elderly people and other individuals who require support.

[0410] "Emotion recognition means" refers to technologies and systems for analyzing a user's emotional state in real time.

[0411] "Information provision means" refers to devices and technologies used to provide users with appropriate information and topics.

[0412] "Message notification means" refers to a method and device for notifying a user of a message sent by a third party, such as a family member, via voice.

[0413] "Purchase support means" refers to technologies and systems that assist users in selecting products through transactions based on their voice instructions.

[0414] "Emergency notification means" refers to the function and technology that automatically notifies emergency contacts based on voice commands from the user.

[0415] A "server" refers to a computer system used to process data and perform various functions.

[0416] The system for realizing this invention includes emotion recognition means, information provision means, and message notification means for recognizing the emotional state of a user and providing appropriate information based on that state. The server is an internet-connected computer system that implements the programs necessary to perform these means.

[0417] The emotion recognition system includes software that combines speech recognition and facial expression recognition technologies, and uses the Google Cloud Speech-to-Text API and OpenCV libraries to process data acquired from the device's camera and microphone in real time. This processing analyzes the user's emotional state and generates an emotion profile.

[0418] The information delivery method utilizes data obtained from external information processing systems to provide users with topics and content at appropriate times. This data includes weather information and user interest information, and is used to select topics appropriate to the user's emotional state.

[0419] The message notification system receives messages sent from family members or third parties and notifies the user appropriately based on their voice and emotional state. This function sends notifications via the Twilio API and delivers messages using common communication methods.

[0420] For example, if a user has a sad expression, the server will prioritize providing positive video content, and in emergencies, it will send a message to the family such as, "Mom seems a little down. Please contact her if you are worried." Another example of a prompt using a generative AI model is, "I am thinking of a care support app that responds in real time to the user's emotional state. Please tell me the necessary technologies and implementation methods for designing a system that can provide positive content when an elderly person is depressed and notify the family when they are anxious or confused." In this way, it becomes possible to realize a system that provides peace of mind and joy to the elderly.

[0421] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0422] Step 1:

[0423] The device uses its camera and microphone to capture video and audio from the user. This input data includes the user's facial expressions and speech.

[0424] Step 2:

[0425] The device analyzes the user's facial expressions from image data acquired using the OpenCV library. In parallel, it converts the audio data into text using the Google Cloud Speech-to-Text API. This provides the foundational data needed to understand the user's emotions. The output is text data necessary for emotion analysis.

[0426] Step 3:

[0427] The server uses an emotion engine to analyze the user's emotional state based on the text data obtained in step 2. The input is the aforementioned text data, and the output is information recorded as the user's emotional profile. This allows for a concrete evaluation of the user's current emotional state.

[0428] Step 4:

[0429] The server selects appropriate information and topics based on the user's emotional profile. It retrieves weather information and interest data from external information processing devices to provide the user with the most suitable content. In this case, the input is the emotional profile and external data, and the output is the selected content information.

[0430] Step 5:

[0431] The server adjusts messages received from third parties, such as family members, to match the user's emotional state and notifies the user via voice message using a voice notification system. The input is the received message, and the output is the voice information that the user receives aurally.

[0432] Step 6:

[0433] In case of emergency, the server uses the Twilio API to send an appropriate alert message to emergency contacts. The input is the user's sentiment profile and current state, and the output is notification information for the third party receiving the alert.

[0434] Step 7:

[0435] The server receives user feedback and records emotional profiles and system responses over the long term. This allows the system's accuracy to gradually improve, thereby enhancing the quality of service provided to users.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] [Third Embodiment]

[0440] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0441] 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.

[0442] 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).

[0443] 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.

[0444] 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.

[0445] 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).

[0446] 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.

[0447] 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.

[0448] 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.

[0449] 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.

[0450] 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.

[0451] 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".

[0452] The system of the present invention aims to increase opportunities for communication in the daily lives of elderly people and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0453] First, once the user starts the system, the terminal automatically provides the user with topics of conversation at a pre-set time. This is designed to increase opportunities for the user's everyday conversations by providing appropriate topics via voice based on information the terminal obtains from the server. For example, it might suggest, "It looks like the weather in your area will be sunny today. Shall we go for a walk?"

[0454] Furthermore, when a family member or third party sends a message using a dedicated app, the server receives the message and sends it to the device as an audio notification at a specified time. The device is designed to read the message aloud to the user and wait for a response. For example, it might say, "Your grandchild has a message for you. They'll come visit on Sunday."

[0455] Then, when the user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. In response, the terminal presents the user with options and confirms the order. Once the purchase is complete, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0456] Furthermore, in an emergency, if the user issues a voice command such as "It's an emergency," the device will automatically notify pre-registered emergency contacts. The notification is designed to include necessary location information and a description of the situation, enabling immediate response. The server also notifies family members of the situation in conjunction with this notification.

[0457] These features allow users to reduce everyday anxieties and live with greater peace of mind, while also enabling family members to remotely support the user's safety. This system provides an effective means of comprehensively supporting the lives of the elderly.

[0458] The following describes the processing flow.

[0459] Step 1:

[0460] The device sets an alarm for a specific time each day. This acts as a trigger for generating conversation.

[0461] Step 2:

[0462] The device connects to the server and sends a request to retrieve topics related to the user's interests and preferences.

[0463] Step 3:

[0464] The server uses user profile information, current weather data, and news data to generate relevant topics.

[0465] Step 4:

[0466] The server sends the generated topic to the terminal.

[0467] Step 5:

[0468] The terminal provides the user with the topic it has received via speech synthesis.

[0469] Step 6:

[0470] Relatives send messages to the server through a dedicated application.

[0471] Step 7:

[0472] The server receives the message and, at the specified time, simultaneously saves the message to the schedule.

[0473] Step 8:

[0474] The device retrieves a message from the server at the specified time and notifies the user via voice.

[0475] Step 9:

[0476] The user gives a voice command saying, "I want to order some daily necessities."

[0477] Step 10:

[0478] The terminal sends a purchase request to the server and retrieves related product information.

[0479] Step 11:

[0480] The server generates a product list and sends it to the terminal.

[0481] Step 12:

[0482] The device presents the user with a product list via voice and confirms the purchase.

[0483] Step 13:

[0484] The server waits for final confirmation via voice command before processing the payment.

[0485] Step 14:

[0486] The user issues the emergency voice command, "It's an emergency."

[0487] Step 15:

[0488] The device recognizes this command and automatically sends a notification to registered emergency contacts.

[0489] Step 16:

[0490] The device reports the emergency to the server, and the server sends a notification to the family.

[0491] (Example 1)

[0492] 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."

[0493] In modern society, elderly people face challenges such as feeling lonely in their daily lives and being unable to respond quickly in emergencies. This situation exacerbates feelings of isolation and increases the risk of problems during emergencies. Therefore, there is a need to provide a system that allows elderly people to have opportunities for regular communication and to receive prompt support when needed.

[0494] 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.

[0495] In this invention, the server includes a topic provision means for automatically providing users with topics to facilitate communication at a predetermined time; a message notification means for notifying users by voice at a specified time of messages sent from a third party, such as a family member; and a purchase support means for assisting users in acquiring consumer goods through a transaction system based on their voice commands. This enables elderly people to reduce their daily anxieties and live fulfilling lives while receiving prompt support in emergencies.

[0496] A "topic provision means" is a device or function that provides topics based on information obtained from external sources in order to automatically facilitate appropriate communication opportunities for users.

[0497] A "message notification system" is a device or function that transmits messages sent from family members or third parties to the user via voice at a specified time.

[0498] A "purchase support device" is a device or function that interacts with a transaction system and provides relevant information to assist users in the process of acquiring products using voice commands.

[0499] An "emergency notification system" is a device or function that, upon receiving an emergency voice command from a user, automatically sends a notification, including location information and a description of the situation, to a pre-set emergency contact.

[0500] An "information device" is a device or infrastructure, such as a server, that acquires external information such as weather forecasts, news, and local events, and provides users with relevant topics based on that information.

[0501] A "notification means" is a device or function that informs a third party if no response is received from the user for a certain period of time.

[0502] The system of this invention aims to increase opportunities for communication in daily life for the elderly and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0503] When a user starts this system, the device automatically provides the user with topics at pre-set times. By retrieving the latest information from the server, the device provides the user with voice-based topics based on a variety of themes, such as news, weather, and local events. This increases opportunities for users to enjoy everyday conversations. For example, the device might suggest, "The forecast is for sunshine today. How about planning a walk?"

[0504] Furthermore, when a family member or a third party sends a message through the dedicated app, the message is received by the server and sent to the device as an audio notification at a specified time. The device then reads the message aloud to the user and waits for a response. For example, it can convey a message such as, "Your grandchild has a message for you. They will visit on Sunday."

[0505] Furthermore, when a user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. This process utilizes a generative AI model to recommend products suitable for the user and clearly presents the options. Once the user makes a selection and confirms the order, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0506] In an emergency, when the user issues the voice command "It's an emergency," the device immediately notifies registered emergency contacts and transmits information including the user's location and a description of the situation. This notification enables a rapid response. The server also notifies family members of the situation, allowing for remote support.

[0507] Examples of prompts that use the generative AI model include "Please suggest topics for everyday conversation with elderly people" and "Please generate appropriate notification content for emergency response."

[0508] This system will make the lives of the elderly richer and safer, and reduce their daily anxieties. Families will also be able to create an environment where they can provide support to the elderly remotely.

[0509] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0510] Step 1:

[0511] When a user starts the system, the terminal retrieves information from the server to provide topics at a specified time. The inputs used are the user's profile information and the current date and time. The server queries external databases such as news, weather, and event information, filters the information relevant to the user, and sends it to the terminal. Based on this output, a generative AI model generates appropriate topics and delivers them to the user as voice messages.

[0512] Step 2:

[0513] When a message from a family member is sent to the server via a dedicated app, the server receives the message and sends it to the device at the specified time. The input consists of the message content and the specified time. The server temporarily stores the message in a database, converts it to a voice format at the specified time, and transmits it to the device. The device converts this information into a voice message and delivers it to the user. At this point, the system waits for the user's confirmation.

[0514] Step 3:

[0515] When a user issues a voice command such as "I want to order daily necessities," the terminal sends a request to the server. The input used is the voice command converted into text. The server, in conjunction with the trading system, retrieves product information and processes the data to present the user with available options. As output, it sends a product list to the terminal. The terminal then presents the options via voice, accepts the user's selection, confirms the final order, and sends it to the server.

[0516] Step 4:

[0517] In an emergency, if the user issues the command "It's an emergency," the device immediately notifies emergency contacts via the server. The input uses voice data and the device's current location information. The server generates a notification including the user's location and a description of the situation, and sends it to all registered emergency contacts. It also notifies family members to establish a support system. This output enables rapid assistance.

[0518] (Application Example 1)

[0519] 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."

[0520] Elderly people face reduced opportunities for communication in their daily lives and difficulty responding quickly in emergencies. Furthermore, they may experience a decline in their quality of life due to fewer opportunities to encounter new information and topics. There is a need to address these issues and provide an environment where elderly people can live with peace of mind.

[0521] 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.

[0522] In this invention, the server includes a topic provision means for automatically providing topics to the user at a predetermined time, a message notification means for notifying the user by voice at a specified time of a message sent from a third party such as a family member, and a purchase support means for assisting the user in purchasing goods through financial transactions based on the user's voice commands. This makes it possible to increase opportunities for conversation in the user's life and provide an environment in which they can live with peace of mind.

[0523] A "topic provision means" is a device or system that has the function of automatically providing users with appropriate topics at a predetermined time.

[0524] A "message notification device" is a device or system that has the function of notifying a user by voice at a specified time of a message sent by a third party, such as a family member.

[0525] A "purchase support device" is a device or system that has the function of supporting the purchase of goods through financial transactions based on the user's voice commands.

[0526] An "emergency notification system" is a device or system that has the function of automatically notifying registered emergency contacts in response to an explicit voice command from the user.

[0527] "Dialogue generation means" refers to a device or system that uses speech recognition technology to understand a user's utterances and generate appropriate conversation content.

[0528] A "topic generation method" is a device or system that utilizes a generation AI model to generate new topics based on the user's interests and concerns.

[0529] To implement this invention, the system uses a terminal installed in the user's living environment and a cloud-based server that provides various data. The terminal recognizes the user's voice and enables conversation and emergency response. The server works in conjunction with the terminal to provide various information.

[0530] The server uses speech recognition software to convert user speech into text, and then utilizes a generative AI model to generate appropriate responses or new topics. Here, commonly available technologies such as Google Cloud Speech-to-Text are used for speech recognition. For the generative AI model, OpenAI's GPT series is used. This model generates prompt sentences based on information obtained from the server to generate topics tailored to the user's interests.

[0531] The device has a built-in speaker and microphone, and is capable of outputting acquired text as natural language speech. Furthermore, it enables two-way communication by processing voice commands entered by the user on the server side and sending the results back to the device. This function allows the device to have natural conversations with the user, such as "Can you tell me a recipe for this dish?"

[0532] For example, a prompt might be written as, "Please provide the following story in a friendly tone suitable for seniors. The topic is local weather. If possible, please include suggestions that encourage physical activity," and then provided to the generative AI model.

[0533] In this way, the system plays an important role in enriching the lives of the elderly and creating a safe and secure environment.

[0534] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0535] Step 1:

[0536] The user enters a voice command into the terminal. The terminal's microphone receives this voice in real time and converts it into digital audio data. The input is the user's verbal request, and the output is audio data in digital format.

[0537] Step 2:

[0538] The terminal sends digital audio data to the server. The server uses speech recognition software to convert this digital audio data into a text string. The input is audio data, and the output is recognized text information. This conversion process is performed using Google Cloud Speech-to-Text.

[0539] Step 3:

[0540] The server analyzes the converted text information to understand the user's request. Based on the analysis results, it generates appropriate prompt sentences. It utilizes a generative AI model to create topics and responses to suggest to the user based on the given information. Here, OpenAI's GPT series is used as the generative AI model. The input is the analyzed request, and the output is the generated prompt sentence and the corresponding response.

[0541] Step 4:

[0542] The server sends the generated prompt and response back to the terminal. The terminal receives this and provides audio feedback to the user through its speaker. The input is text information from the server, and the output is audio feedback to the user.

[0543] Step 5:

[0544] When the user enters a new voice command in response to feedback, the cycle from step 1 is repeated. This enables continuous interaction with the user.

[0545] 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.

[0546] This invention provides an interactive system that supports elderly people in living their daily lives with greater peace of mind. In particular, it aims to improve the user experience by incorporating an emotion engine that recognizes the user's emotional state and reflects it in each function of the system.

[0547] This system includes the following main components: First, the terminal uses speech recognition and facial recognition technology to recognize the user's emotions in real time from their speech and facial expressions. This information is sent to the server, and the user's emotion profile is updated.

[0548] The topic delivery method selects and delivers topics appropriate to the user based on this emotional profile. For example, if the user is feeling down, it is possible to prioritize providing positive topics that offer encouragement.

[0549] Furthermore, the emotion engine adjusts the output of the message notification system according to the user's emotional state. For example, if the user appears anxious, it might emphasize and notify them of warm messages from family members.

[0550] In purchasing support methods, explanations can be made more detailed or the number of options adjusted based on the user's emotional state, allowing them to make informed product choices.

[0551] Regarding emergency call methods, if the user's emotions indicate extreme fear or confusion, the system will automatically prepare to make an emergency call and, if necessary, transmit it immediately.

[0552] In addition, the server records changes in the user's emotional state over the long term and sends emotional analysis reports to the family as needed. This allows the family to remotely monitor the user's mental health.

[0553] This embodiment allows elderly people to live richer and more secure lives, and enables their families to watch over them with peace of mind. The system provides an effective means to improve the quality of daily life for the elderly and to promote appropriate communication.

[0554] The following describes the processing flow.

[0555] Step 1:

[0556] The device continuously monitors the user's voice and facial expressions using its camera and microphone. This allows it to detect the user's emotions in real time.

[0557] Step 2:

[0558] The device inputs voice and facial expression data it acquires into an emotion engine, which then analyzes and recognizes the user's emotional state (e.g., joy, anxiety, sadness).

[0559] Step 3:

[0560] The device sends its emotional state to the server, updating the user's emotional profile.

[0561] Step 4:

[0562] The server generates and selects potential topics to offer that day based on the emotional profile.

[0563] Step 5:

[0564] The device uses speech synthesis to provide the user with appropriate topics.

[0565] Step 6:

[0566] Family members send messages to the server. Upon receiving a message, the device considers the user's emotional state and adjusts the tone and importance of the message's content.

[0567] Step 7:

[0568] The device notifies the user of messages via voice and collects emotionally sensitive feedback.

[0569] Step 8:

[0570] When a user places an order using a purchase assistance tool, the device adjusts the product description according to their emotional state at the time. For example, it decides whether to present a wide range of options or limit them to create a sense of security.

[0571] Step 9:

[0572] If a user issues an emergency command such as "It's urgent," the device will immediately assess the user's emotional state and, if it indicates extreme anxiety, will automatically make an emergency call.

[0573] Step 10:

[0574] The server collects and analyzes user emotional data over the long term and sends emotional analysis reports to family members as needed.

[0575] Step 11:

[0576] The family reviews the emotion analysis report received from the server and considers any necessary interventions or support.

[0577] (Example 2)

[0578] 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."

[0579] In modern society, providing a safe and secure living environment for the elderly is a crucial issue. However, it is difficult to accurately assess the emotional and health conditions of the elderly remotely and provide appropriate support accordingly. Furthermore, the provision of information and support tailored to the individual needs and emotions of users is insufficient, highlighting the need for effective means to provide a safe and comfortable living environment.

[0580] 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.

[0581] In this invention, the server includes an emotion recognition and topic selection means that uses an analysis device to recognize the user's emotional state and selects and adapts topics based on the recognition results; a product selection optimization means that optimizes and provides product information based on the user's emotional state; and an emergency emotion detection and notification means that automatically notifies emergency contacts when an extreme change in emotion is detected. This makes it possible to provide an environment in which elderly people can live with greater peace of mind through the provision of appropriate information and support according to the user's emotional state.

[0582] "Information provision means" refers to a device or method for automatically providing users with topics and information in audio or visual form based on a set time and situation.

[0583] "Emotion recognition and topic selection means" refers to a device or method for analyzing a user's emotional state and, based on the results, selecting and providing the most appropriate topic for each individual user.

[0584] "Message adjustment and notification means" refers to a device or method for adjusting messages or messages from a third party according to the emotional state received by the user, and notifying the user of these messages by voice.

[0585] A "product selection optimization means" is a device or method for optimizing product information and options and proposing them to a user, taking into account the user's emotional state.

[0586] An "emergency emotion detection and notification device" is a device or method that automatically detects when a user's emotions change drastically and notifies pre-registered emergency contacts.

[0587] A "generative AI model" is an artificial intelligence model that has the ability to generate new information based on input data and context.

[0588] A "prompt message" is a document or instruction given to a generative AI model to prompt it to produce a specific response or information.

[0589] This invention relates to an interactive system that supports elderly people in living their daily lives with peace of mind. The system aims to improve the quality of life by recognizing the user's emotional state and providing information accordingly.

[0590] The system primarily consists of terminals and servers. The terminals utilize speech recognition and facial expression recognition technologies to recognize the user's emotional state in real time from their speech and facial expressions. For speech recognition, general speech-to-text conversion software is used, while image analysis technology is employed for facial expression recognition. This allows the user's emotional state to be analyzed, and this information is then transmitted to the server.

[0591] The server uses advanced data processing techniques to update the user profile based on their emotional state. Based on this profile, a generative AI model is used to generate topics appropriate for the user. For example, if the user is feeling down, the generative AI model might suggest a positive topic such as, "How about we make time today to talk about your favorite hobbies?" An example of a prompt to input to the generative AI model would be, "Generate topics that match the current emotional state."

[0592] Furthermore, the emotional engine can be used to adjust the content of messages and how products are presented. If the user is feeling anxious, the device will highlight and notify them of warm messages from family members. Also, when selecting products, the explanations will be more detailed and the options narrowed down, reducing the burden of decision-making for the user.

[0593] This system has a function that can automatically notify pre-registered emergency contacts if an emergency is detected. It allows for a rapid response when the user's emotions become extremely unstable. Furthermore, the server records the user's emotional fluctuations and periodically sends analysis reports to the family, allowing for remote monitoring of the user's mental health.

[0594] For example, if a user says "Today isn't a very good day" in a casual conversation, the system will pick up on this information and suggest positive content. Furthermore, a generative AI model can be used to generate prompts such as, "Generate five topics to cheer up a user who is feeling down."

[0595] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0596] Step 1:

[0597] The device acquires the user's voice and facial expression data. This process uses the built-in microphone and camera. The input consists of the user's spoken voice and real-time facial expressions. This data is converted into emotional information using speech recognition and facial expression recognition technologies. The output is the user's emotional state (e.g., joy, anxiety, depression).

[0598] Step 2:

[0599] The terminal sends the acquired emotional state data to the server. A secure communication protocol is used to ensure the data's safety. The input is the emotional state information obtained in the previous step, and the output is the accurate delivery of the recognition information to the server.

[0600] Step 3:

[0601] The server updates the user's emotional profile based on the received emotional state information. Here, an emotional analysis algorithm is used to integrate the received emotional data with past data and reflect it in the profile. The output is the user's most recent emotional profile.

[0602] Step 4:

[0603] The server generates appropriate topics using a generative AI model based on the emotion profile. In this step, the input is the latest emotion profile and the prompt "Generate topics that match the current emotion state." Data processing generates topics suitable for the user as output.

[0604] Step 5:

[0605] The terminal receives a topic from the server, converts it into speech using speech synthesis technology, and provides it to the user. The input is the generated topic text, and the output is the spoken topic. It is important that the output in this step is natural-sounding speech.

[0606] Step 6:

[0607] The server adjusts the message according to the user's emotional state and sends it to the terminal. The input consists of the user profile and a draft message from a third party. The output is an adjusted message tailored to the user's emotional state, which is delivered to the terminal as audio.

[0608] Step 7:

[0609] The device provides the user with product information based on their emotional state. Inputs are an emotional profile and a list of suggested products. Output is refined and detailed product information. Specifically, the information is provided in a concise and easy-to-understand format, either through voice or text.

[0610] Step 8:

[0611] If the server detects an extreme change in emotion, it immediately activates an emergency call protocol. The input here is the emotion change information from the previous step, and the output is the execution of an emergency call and notification to the contacts. This operation must be fast and accurate.

[0612] Step 9:

[0613] The server analyzes emotional data over a certain period and sends an emotional analysis report to the family as needed. The input data is information about the user's long-term emotional trends, and the output is an analyzed emotional report. This report is sent via email or other means, providing support for family members to understand the user's mental state remotely.

[0614] (Application Example 2)

[0615] 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."

[0616] There is a need for effective support systems that assist the psychological health of the elderly and enable them to live safe and secure daily lives. In particular, because the elderly are prone to feelings of loneliness and anxiety, a system is needed that can appropriately recognize their emotional state and respond accordingly. It is also important for family members to monitor the elderly's condition remotely and provide support as needed.

[0617] 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.

[0618] In this invention, the server includes emotion recognition means for analyzing the user's emotions in real time, information provision means for automatically providing topics to the user at a predetermined time, and message notification means for notifying the user by voice at a specified time of messages sent from a third party, such as a family member. This makes it possible to provide appropriate responses according to the emotional state of the elderly and support a safe and fulfilling daily life. In addition, family members can remotely check on the elderly person's condition and provide support as needed.

[0619] "Users" refers to anyone who uses the system, including elderly individuals and others who require support.

[0620] "Emotion recognition means" refers to technologies and systems for analyzing a user's emotional state in real time.

[0621] "Information provision means" refers to devices and technologies used to provide users with appropriate information and topics.

[0622] "Message notification means" refers to a method and device for notifying a user of a message sent by a third party, such as a family member, via voice.

[0623] "Purchase support means" refers to technologies and systems that assist users in selecting products through transactions based on their voice instructions.

[0624] "Emergency notification means" refers to the function and technology that automatically notifies emergency contacts based on voice commands from the user.

[0625] A "server" refers to a computer system used to process data and perform various functions.

[0626] The system for realizing this invention includes emotion recognition means, information provision means, and message notification means for recognizing the emotional state of a user and providing appropriate information based on that state. The server is an internet-connected computer system that implements the programs necessary to perform these means.

[0627] The emotion recognition system includes software that combines speech recognition and facial expression recognition technologies, and uses the Google Cloud Speech-to-Text API and OpenCV libraries to process data acquired from the device's camera and microphone in real time. This processing analyzes the user's emotional state and generates an emotion profile.

[0628] The information delivery method utilizes data acquired from external information processing systems to provide users with topics and content at appropriate times. This data includes weather information and user interest information, and is used to select topics appropriate to the user's emotional state.

[0629] The message notification system receives messages sent from family members or third parties and notifies the user appropriately based on their voice and emotional state. This function sends notifications via the Twilio API and delivers messages using common communication methods.

[0630] For example, if a user has a sad expression, the server will prioritize providing positive video content, and in emergencies, it will send a message to the family such as, "Mom seems a little down. Please contact her if you are worried." Another example of a prompt using a generative AI model is, "I am thinking of a care support app that responds in real time to the user's emotional state. Please tell me the necessary technologies and implementation methods for designing a system that can provide positive content when elderly people are depressed and notify their families when they are anxious or confused." In this way, it becomes possible to realize a system that provides peace of mind and joy to the elderly.

[0631] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0632] Step 1:

[0633] The device uses its camera and microphone to capture video and audio from the user. This input data includes the user's facial expressions and speech.

[0634] Step 2:

[0635] The device analyzes the user's facial expressions from image data acquired using the OpenCV library. In parallel, it converts the audio data into text using the Google Cloud Speech-to-Text API. This provides the foundational data needed to understand the user's emotions. The output is text data necessary for emotion analysis.

[0636] Step 3:

[0637] The server uses an emotion engine to analyze the user's emotional state based on the text data obtained in step 2. The input is the aforementioned text data, and the output is information recorded as the user's emotional profile. This allows for a concrete evaluation of the user's current emotional state.

[0638] Step 4:

[0639] The server selects appropriate information and topics based on the user's emotional profile. It retrieves weather information and interest data from external information processing devices to provide the user with the most suitable content. In this case, the input is the emotional profile and external data, and the output is the selected content information.

[0640] Step 5:

[0641] The server adjusts messages received from third parties, such as family members, to match the user's emotional state and notifies the user via voice message using a voice notification system. The input is the received message, and the output is the voice information that the user receives aurally.

[0642] Step 6:

[0643] In case of emergency, the server uses the Twilio API to send an appropriate alert message to emergency contacts. The input is the user's sentiment profile and current state, and the output is the notification information for the third party who will receive the alert.

[0644] Step 7:

[0645] The server receives user feedback and records emotional profiles and system responses over the long term. This allows the system's accuracy to gradually improve, thereby enhancing the quality of service provided to users.

[0646] 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.

[0647] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0648] 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.

[0649] [Fourth Embodiment]

[0650] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0651] 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.

[0652] 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).

[0653] 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.

[0654] 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.

[0655] 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).

[0656] 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.

[0657] 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.

[0658] 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.

[0659] 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.

[0660] 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.

[0661] 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.

[0662] 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".

[0663] The system of the present invention aims to increase opportunities for communication in the daily lives of elderly people and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0664] First, once the user starts the system, the terminal automatically provides the user with topics of conversation at a pre-set time. This is designed to increase opportunities for the user's everyday conversations by providing appropriate topics via voice based on information the terminal obtains from the server. For example, it might suggest, "It looks like the weather in your area will be sunny today. Shall we go for a walk?"

[0665] Furthermore, when a family member or third party sends a message using a dedicated app, the server receives the message and sends it to the device as an audio notification at a specified time. The device is designed to read the message aloud to the user and wait for a response. For example, it might say, "Your grandchild has a message for you. They'll come visit on Sunday."

[0666] Then, when the user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. In response, the terminal presents the user with options and confirms the order. Once the purchase is complete, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0667] Furthermore, in an emergency, if the user issues a voice command such as "It's an emergency," the device will automatically notify pre-registered emergency contacts. The notification is designed to include necessary location information and a description of the situation, enabling immediate response. The server also notifies family members of the situation in conjunction with this notification.

[0668] These features allow users to reduce everyday anxieties and live with greater peace of mind, while also enabling family members to remotely support the user's safety. This system provides an effective means of comprehensively supporting the lives of the elderly.

[0669] The following describes the processing flow.

[0670] Step 1:

[0671] The device sets an alarm for a specific time each day. This acts as a trigger for generating conversation.

[0672] Step 2:

[0673] The device connects to the server and sends a request to retrieve topics related to the user's interests and preferences.

[0674] Step 3:

[0675] The server uses user profile information, current weather data, and news data to generate relevant topics.

[0676] Step 4:

[0677] The server sends the generated topic to the terminal.

[0678] Step 5:

[0679] The terminal provides the user with the topic it has received via speech synthesis.

[0680] Step 6:

[0681] Relatives send messages to the server through a dedicated application.

[0682] Step 7:

[0683] The server receives the message and, at the specified time, simultaneously saves the message to the schedule.

[0684] Step 8:

[0685] The device retrieves a message from the server at the specified time and notifies the user via voice.

[0686] Step 9:

[0687] The user gives a voice command saying, "I want to order some daily necessities."

[0688] Step 10:

[0689] The terminal sends a purchase request to the server and retrieves related product information.

[0690] Step 11:

[0691] The server generates a product list and sends it to the terminal.

[0692] Step 12:

[0693] The device presents the user with a product list via voice and confirms the purchase.

[0694] Step 13:

[0695] The server waits for final confirmation via voice command before processing the payment.

[0696] Step 14:

[0697] The user issues the emergency voice command, "It's an emergency."

[0698] Step 15:

[0699] The device recognizes this command and automatically sends a notification to registered emergency contacts.

[0700] Step 16:

[0701] The device reports the emergency to the server, and the server sends a notification to the family.

[0702] (Example 1)

[0703] 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".

[0704] In modern society, elderly people face challenges such as feeling lonely in their daily lives and being unable to respond quickly in emergencies. This situation exacerbates feelings of isolation and increases the risk of problems during emergencies. Therefore, there is a need to provide a system that allows elderly people to have opportunities for regular communication and to receive prompt support when needed.

[0705] 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.

[0706] In this invention, the server includes a topic provision means for automatically providing users with topics to facilitate communication at a predetermined time; a message notification means for notifying users by voice at a specified time of messages sent from a third party, such as a family member; and a purchase support means for assisting users in acquiring consumer goods through a transaction system based on their voice commands. This enables elderly people to reduce their daily anxieties and live fulfilling lives while receiving prompt support in emergencies.

[0707] A "topic provision means" is a device or function that provides topics based on information obtained from external sources in order to automatically facilitate appropriate communication opportunities for users.

[0708] A "message notification system" is a device or function that transmits messages sent from family members or third parties to the user via voice at a specified time.

[0709] A "purchase support device" is a device or function that interacts with a transaction system and provides relevant information to assist users in the process of acquiring products using voice commands.

[0710] An "emergency notification system" is a device or function that, upon receiving an emergency voice command from a user, automatically sends a notification, including location information and a description of the situation, to a pre-set emergency contact.

[0711] An "information device" is a device or infrastructure, such as a server, that acquires external information such as weather forecasts, news, and local events, and provides users with relevant topics based on that information.

[0712] A "notification means" is a device or function that informs a third party if no response is received from the user for a certain period of time.

[0713] The system of this invention aims to increase opportunities for communication in daily life for the elderly and to facilitate responses in emergencies. Specific embodiments of this system are described below.

[0714] When a user starts this system, the device automatically provides the user with topics at pre-set times. By retrieving the latest information from the server, the device provides the user with voice-based topics based on a variety of themes, such as news, weather, and local events. This increases opportunities for users to enjoy everyday conversations. For example, the device might suggest, "The forecast is for sunshine today. How about planning a walk?"

[0715] Furthermore, when a family member or a third party sends a message through the dedicated app, the message is received by the server and sent to the device as an audio notification at a specified time. The device then reads the message aloud to the user and waits for a response. For example, it can convey a message such as, "Your grandchild has a message for you. They will visit on Sunday."

[0716] Furthermore, when a user issues a voice command such as "I want to order some daily necessities," the terminal sends a request to the server to retrieve information on available products. This process utilizes a generative AI model to recommend products suitable for the user and clearly presents the options. Once the user makes a selection and confirms the order, the server executes the transaction and notifies the terminal of the purchase confirmation.

[0717] In an emergency, when the user issues the voice command "It's an emergency," the device immediately notifies registered emergency contacts and transmits information including the user's location and a description of the situation. This notification enables a rapid response. The server also notifies family members of the situation, allowing for remote support.

[0718] Examples of prompts that use the generative AI model include "Please suggest topics for everyday conversation with elderly people" and "Please generate appropriate notification content for emergency response."

[0719] This system will make the lives of the elderly richer and safer, and reduce their daily anxieties. Families will also be able to create an environment where they can provide support to the elderly remotely.

[0720] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0721] Step 1:

[0722] When a user starts the system, the terminal retrieves information from the server to provide topics at a specified time. The inputs used are the user's profile information and the current date and time. The server queries external databases such as news, weather, and event information, filters the information relevant to the user, and sends it to the terminal. Based on this output, a generative AI model generates appropriate topics and delivers them to the user as voice messages.

[0723] Step 2:

[0724] When a message from a family member is sent to the server via a dedicated app, the server receives the message and sends it to the device at the specified time. The input consists of the message content and the specified time. The server temporarily stores the message in a database, converts it to a voice format at the specified time, and transmits it to the device. The device converts this information into a voice message and delivers it to the user. At this point, the system waits for the user's confirmation.

[0725] Step 3:

[0726] When a user issues a voice command such as "I want to order daily necessities," the terminal sends a request to the server. The input used is the voice command converted into text. The server, in conjunction with the trading system, retrieves product information and processes the data to present the user with available options. As output, it sends a product list to the terminal. The terminal then presents the options via voice, accepts the user's selection, confirms the final order, and sends it to the server.

[0727] Step 4:

[0728] In an emergency, if the user issues the command "It's an emergency," the device immediately notifies emergency contacts via the server. The input uses voice data and the device's current location information. The server generates a notification including the user's location and a description of the situation, and sends it to all registered emergency contacts. It also notifies family members to establish a support system. This output enables rapid assistance.

[0729] (Application Example 1)

[0730] 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".

[0731] Elderly people face reduced opportunities for communication in their daily lives and difficulty responding quickly in emergencies. Furthermore, they may experience a decline in their quality of life due to fewer opportunities to encounter new information and topics. There is a need to address these issues and provide an environment where elderly people can live with peace of mind.

[0732] 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.

[0733] In this invention, the server includes a topic provision means for automatically providing topics to the user at a predetermined time, a message notification means for notifying the user by voice at a specified time of a message sent from a third party such as a family member, and a purchase support means for assisting the user in purchasing goods through financial transactions based on the user's voice commands. This makes it possible to increase opportunities for conversation in the user's life and provide an environment in which they can live with peace of mind.

[0734] A "topic provision means" is a device or system that has the function of automatically providing users with appropriate topics at a predetermined time.

[0735] A "message notification device" is a device or system that has the function of notifying a user by voice at a specified time of a message sent by a third party, such as a family member.

[0736] A "purchase support device" is a device or system that has the function of supporting the purchase of goods through financial transactions based on the user's voice commands.

[0737] An "emergency notification system" is a device or system that has the function of automatically notifying registered emergency contacts in response to an explicit voice command from the user.

[0738] "Dialogue generation means" refers to a device or system that uses speech recognition technology to understand a user's utterances and generate appropriate conversation content.

[0739] A "topic generation method" is a device or system that utilizes a generation AI model to generate new topics based on the user's interests and concerns.

[0740] To implement this invention, the system uses a terminal installed in the user's living environment and a cloud-based server that provides various data. The terminal recognizes the user's voice and enables conversation and emergency response. The server works in conjunction with the terminal to provide various information.

[0741] The server uses speech recognition software to convert user speech into text, and then utilizes a generative AI model to generate appropriate responses or new topics. Here, commonly available technologies such as Google Cloud Speech-to-Text are used for speech recognition. For the generative AI model, OpenAI's GPT series is used. This model generates prompt sentences based on information obtained from the server to generate topics tailored to the user's interests.

[0742] The device has a built-in speaker and microphone, and is capable of outputting acquired text as natural language speech. Furthermore, it enables two-way communication by processing voice commands entered by the user on the server side and sending the results back to the device. This function allows the device to have natural conversations with the user, such as "Can you tell me a recipe for this dish?"

[0743] For example, a prompt might be written as, "Please provide the following story in a friendly tone suitable for seniors. The topic is local weather. If possible, please include suggestions that encourage physical activity," and then provided to the generative AI model.

[0744] In this way, the system plays an important role in enriching the lives of the elderly and creating a safe and secure environment.

[0745] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0746] Step 1:

[0747] The user enters a voice command into the terminal. The terminal's microphone receives this voice in real time and converts it into digital audio data. The input is the user's verbal request, and the output is audio data in digital format.

[0748] Step 2:

[0749] The terminal sends digital audio data to the server. The server uses speech recognition software to convert this digital audio data into a text string. The input is audio data, and the output is recognized text information. This conversion process is performed using Google Cloud Speech-to-Text.

[0750] Step 3:

[0751] The server analyzes the converted text information to understand the user's request. Based on the analysis results, it generates appropriate prompt sentences. It utilizes a generative AI model to create topics and responses to suggest to the user based on the given information. Here, OpenAI's GPT series is used as the generative AI model. The input is the analyzed request, and the output is the generated prompt sentence and the corresponding response.

[0752] Step 4:

[0753] The server sends the generated prompt and response back to the terminal. The terminal receives this and provides audio feedback to the user through its speaker. The input is text information from the server, and the output is audio feedback to the user.

[0754] Step 5:

[0755] When the user enters a new voice command in response to feedback, the cycle from step 1 is repeated. This enables continuous interaction with the user.

[0756] 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.

[0757] This invention provides an interactive system that supports elderly people in living their daily lives with greater peace of mind. In particular, it aims to improve the user experience by incorporating an emotion engine that recognizes the user's emotional state and reflects it in each function of the system.

[0758] This system includes the following main components: First, the terminal uses speech recognition and facial recognition technology to recognize the user's emotions in real time from their speech and facial expressions. This information is sent to the server, and the user's emotion profile is updated.

[0759] The topic delivery method selects and delivers topics appropriate to the user based on this emotional profile. For example, if the user is feeling down, it is possible to prioritize providing positive topics that offer encouragement.

[0760] Furthermore, the emotion engine adjusts the output of the message notification system according to the user's emotional state. For example, if the user appears anxious, it might emphasize and notify them of warm messages from family members.

[0761] In purchasing support methods, explanations can be made more detailed or the number of options adjusted based on the user's emotional state, allowing them to make informed product choices.

[0762] Regarding emergency call methods, if the user's emotions indicate extreme fear or confusion, the system will automatically prepare to make an emergency call and, if necessary, transmit it immediately.

[0763] In addition, the server records changes in the user's emotional state over the long term and sends emotional analysis reports to the family as needed. This allows the family to remotely monitor the user's mental health.

[0764] This embodiment allows elderly people to live richer and more secure lives, and enables their families to watch over them with peace of mind. The system provides an effective means to improve the quality of daily life for the elderly and to promote appropriate communication.

[0765] The following describes the processing flow.

[0766] Step 1:

[0767] The device continuously monitors the user's voice and facial expressions using its camera and microphone. This allows it to detect the user's emotions in real time.

[0768] Step 2:

[0769] The device inputs voice and facial expression data it acquires into an emotion engine, which then analyzes and recognizes the user's emotional state (e.g., joy, anxiety, sadness).

[0770] Step 3:

[0771] The device sends its emotional state to the server, updating the user's emotional profile.

[0772] Step 4:

[0773] The server generates and selects potential topics to offer that day based on the emotional profile.

[0774] Step 5:

[0775] The device uses speech synthesis to provide the user with appropriate topics.

[0776] Step 6:

[0777] Family members send messages to the server. Upon receiving a message, the device considers the user's emotional state and adjusts the tone and importance of the message's content.

[0778] Step 7:

[0779] The device notifies the user of messages via voice and collects emotionally sensitive feedback.

[0780] Step 8:

[0781] When a user places an order using a purchase assistance tool, the device adjusts the product description according to their emotional state at the time. For example, it decides whether to present a wide range of options or limit them to create a sense of security.

[0782] Step 9:

[0783] If a user issues an emergency command such as "It's urgent," the device will immediately assess the user's emotional state and, if it indicates extreme anxiety, will automatically make an emergency call.

[0784] Step 10:

[0785] The server collects and analyzes user emotional data over the long term and sends emotional analysis reports to family members as needed.

[0786] Step 11:

[0787] The family reviews the emotion analysis report received from the server and considers any necessary interventions or support.

[0788] (Example 2)

[0789] 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".

[0790] In modern society, providing a safe and secure living environment for the elderly is a crucial issue. However, it is difficult to accurately assess the emotional and health conditions of the elderly remotely and provide appropriate support accordingly. Furthermore, the provision of information and support tailored to the individual needs and emotions of users is insufficient, highlighting the need for effective means to provide a safe and comfortable living environment.

[0791] 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.

[0792] In this invention, the server includes an emotion recognition and topic selection means that uses an analysis device to recognize the user's emotional state and selects and adapts topics based on the recognition results; a product selection optimization means that optimizes and provides product information based on the user's emotional state; and an emergency emotion detection and notification means that automatically notifies emergency contacts when an extreme change in emotion is detected. This makes it possible to provide an environment in which elderly people can live with greater peace of mind through the provision of appropriate information and support according to the user's emotional state.

[0793] "Information provision means" refers to a device or method for automatically providing users with topics and information in audio or visual form based on a set time and situation.

[0794] "Emotion recognition and topic selection means" refers to a device or method for analyzing a user's emotional state and, based on the results, selecting and providing the most appropriate topic for each individual user.

[0795] "Message adjustment and notification means" refers to a device or method for adjusting messages or messages from a third party according to the emotional state received by the user, and notifying the user of these messages by voice.

[0796] A "product selection optimization means" is a device or method for optimizing product information and options and proposing them to a user, taking into account the user's emotional state.

[0797] An "emergency emotion detection and notification device" is a device or method that automatically detects when a user's emotions change drastically and notifies pre-registered emergency contacts.

[0798] A "generative AI model" is an artificial intelligence model that has the ability to generate new information based on input data and context.

[0799] A "prompt message" is a document or instruction given to a generative AI model to prompt it to produce a specific response or information.

[0800] This invention relates to an interactive system that supports elderly people in living their daily lives with peace of mind. The system aims to improve the quality of life by recognizing the user's emotional state and providing information accordingly.

[0801] The system primarily consists of terminals and servers. The terminals utilize speech recognition and facial expression recognition technologies to recognize the user's emotional state in real time from their speech and facial expressions. For speech recognition, general speech-to-text conversion software is used, while image analysis technology is employed for facial expression recognition. This allows the user's emotional state to be analyzed, and this information is then transmitted to the server.

[0802] The server uses advanced data processing techniques to update the user profile based on their emotional state. Based on this profile, a generative AI model is used to generate topics appropriate for the user. For example, if the user is feeling down, the generative AI model might suggest a positive topic such as, "How about we make time today to talk about your favorite hobbies?" An example of a prompt to input to the generative AI model would be, "Generate topics that match the current emotional state."

[0803] Furthermore, the emotional engine can be used to adjust the content of messages and how products are presented. If the user is feeling anxious, the device will highlight and notify them of warm messages from family members. Also, when selecting products, the explanations will be more detailed and the options narrowed down, reducing the burden of decision-making for the user.

[0804] This system has a function that can automatically notify pre-registered emergency contacts if an emergency is detected. It allows for a rapid response when the user's emotions become extremely unstable. Furthermore, the server records the user's emotional fluctuations and periodically sends analysis reports to the family, allowing for remote monitoring of the user's mental health.

[0805] For example, if a user says "Today isn't a very good day" in a casual conversation, the system will pick up on this information and suggest positive content. Furthermore, a generative AI model can be used to generate prompts such as, "Generate five topics to cheer up a user who is feeling down."

[0806] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0807] Step 1:

[0808] The device acquires the user's voice and facial expression data. This process uses the built-in microphone and camera. The input consists of the user's spoken voice and real-time facial expressions. This data is converted into emotional information using speech recognition and facial expression recognition technologies. The output is the user's emotional state (e.g., joy, anxiety, depression).

[0809] Step 2:

[0810] The terminal sends the acquired emotional state data to the server. A secure communication protocol is used to ensure the data's safety. The input is the emotional state information obtained in the previous step, and the output is the accurate delivery of the recognition information to the server.

[0811] Step 3:

[0812] The server updates the user's emotional profile based on the received emotional state information. Here, an emotional analysis algorithm is used to integrate the received emotional data with past data and reflect it in the profile. The output is the user's most recent emotional profile.

[0813] Step 4:

[0814] The server generates appropriate topics using a generative AI model based on the emotion profile. In this step, the input is the latest emotion profile and the prompt "Generate topics that match the current emotion state." Data processing generates topics suitable for the user as output.

[0815] Step 5:

[0816] The terminal receives a topic from the server, converts it into speech using speech synthesis technology, and provides it to the user. The input is the generated topic text, and the output is the spoken topic. It is important that the output in this step is natural-sounding speech.

[0817] Step 6:

[0818] The server adjusts the message according to the user's emotional state and sends it to the terminal. The input consists of the user profile and a draft message from a third party. The output is an adjusted message tailored to the user's emotional state, which is delivered to the terminal as audio.

[0819] Step 7:

[0820] The device provides the user with product information based on their emotional state. Inputs are an emotional profile and a list of suggested products. Output is refined and detailed product information. Specifically, the information is provided in a concise and easy-to-understand format, either through voice or text.

[0821] Step 8:

[0822] If the server detects an extreme change in emotion, it immediately activates an emergency call protocol. The input here is the emotion change information from the previous step, and the output is the execution of an emergency call and notification to the contacts. This operation must be fast and accurate.

[0823] Step 9:

[0824] The server analyzes emotional data over a certain period and sends an emotional analysis report to the family as needed. The input data is information about the user's long-term emotional trends, and the output is an analyzed emotional report. This report is sent via email or other means, providing support for family members to understand the user's mental state remotely.

[0825] (Application Example 2)

[0826] 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".

[0827] There is a need for effective support systems that assist the psychological health of the elderly and enable them to live safe and secure daily lives. In particular, because the elderly are prone to feelings of loneliness and anxiety, a system is needed that can appropriately recognize their emotional state and respond accordingly. It is also important for family members to monitor the elderly's condition remotely and provide support as needed.

[0828] 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.

[0829] In this invention, the server includes emotion recognition means for analyzing the user's emotions in real time, information provision means for automatically providing topics to the user at a predetermined time, and message notification means for notifying the user by voice at a specified time of messages sent from a third party, such as a family member. This makes it possible to provide appropriate responses according to the emotional state of the elderly and support a safe and fulfilling daily life. In addition, family members can remotely check on the elderly person's condition and provide support as needed.

[0830] "Users" refers to anyone who uses the system, including elderly individuals and others who require support.

[0831] "Emotion recognition means" refers to technologies and systems for analyzing a user's emotional state in real time.

[0832] "Information provision means" refers to devices and technologies used to provide users with appropriate information and topics.

[0833] "Message notification means" refers to a method and device for notifying a user of a message sent by a third party, such as a family member, via voice.

[0834] "Purchase support means" refers to technologies and systems that assist users in selecting products through transactions based on their voice instructions.

[0835] "Emergency notification means" refers to the function and technology that automatically notifies emergency contacts based on voice commands from the user.

[0836] A "server" refers to a computer system used to process data and perform various functions.

[0837] The system for realizing this invention includes emotion recognition means, information provision means, and message notification means for recognizing the emotional state of a user and providing appropriate information based on that state. The server is an internet-connected computer system that implements the programs necessary to perform these means.

[0838] The emotion recognition system includes software that combines speech recognition and facial expression recognition technologies, and uses the Google Cloud Speech-to-Text API and OpenCV libraries to process data acquired from the device's camera and microphone in real time. This processing analyzes the user's emotional state and generates an emotion profile.

[0839] The information delivery method utilizes data acquired from external information processing systems to provide users with topics and content at appropriate times. This data includes weather information and user interest information, and is used to select topics appropriate to the user's emotional state.

[0840] The message notification system receives messages sent from family members or third parties and notifies the user appropriately based on their voice and emotional state. This function sends notifications via the Twilio API and delivers messages using common communication methods.

[0841] For example, if a user has a sad expression, the server will prioritize providing positive video content, and in emergencies, it will send a message to the family such as, "Mom seems a little down. Please contact her if you are worried." Another example of a prompt using a generative AI model is, "I am thinking of a care support app that responds in real time to the user's emotional state. Please tell me the necessary technologies and implementation methods for designing a system that can provide positive content when elderly people are depressed and notify their families when they are anxious or confused." In this way, it becomes possible to realize a system that provides peace of mind and joy to the elderly.

[0842] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0843] Step 1:

[0844] The device uses its camera and microphone to capture video and audio from the user. This input data includes the user's facial expressions and speech.

[0845] Step 2:

[0846] The device analyzes the user's facial expressions from image data acquired using the OpenCV library. In parallel, it converts the audio data into text using the Google Cloud Speech-to-Text API. This provides the foundational data needed to understand the user's emotions. The output is text data necessary for emotion analysis.

[0847] Step 3:

[0848] The server uses an emotion engine to analyze the user's emotional state based on the text data obtained in step 2. The input is the aforementioned text data, and the output is information recorded as the user's emotional profile. This allows for a concrete evaluation of the user's current emotional state.

[0849] Step 4:

[0850] The server selects appropriate information and topics based on the user's emotional profile. It retrieves weather information and interest data from external information processing devices to provide the user with the most suitable content. In this case, the input is the emotional profile and external data, and the output is the selected content information.

[0851] Step 5:

[0852] The server adjusts messages received from third parties, such as family members, to match the user's emotional state and notifies the user via voice message using a voice notification system. The input is the received message, and the output is the voice information that the user receives aurally.

[0853] Step 6:

[0854] In case of emergency, the server uses the Twilio API to send an appropriate alert message to emergency contacts. The input is the user's sentiment profile and current state, and the output is the notification information for the third party who will receive the alert.

[0855] Step 7:

[0856] The server receives user feedback and records emotional profiles and system responses over the long term. This allows the system's accuracy to gradually improve, thereby enhancing the quality of service provided to users.

[0857] 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.

[0858] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0859] 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.

[0860] 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.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] 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.

[0865] 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."

[0866] 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.

[0867] 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.

[0868] 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.

[0869] 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.

[0870] 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.

[0871] 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.

[0872] 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.

[0873] 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.

[0874] 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.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] The following is further disclosed regarding the embodiments described above.

[0879] (Claim 1)

[0880] A topic provision method for automatically providing topics to users at pre-set times,

[0881] A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member,

[0882] A purchase support system that assists users in purchasing products through financial transactions based on their voice commands,

[0883] An emergency notification system that automatically notifies emergency contacts based on explicit voice commands from the user,

[0884] A system that includes this.

[0885] (Claim 2)

[0886] The system according to claim 1, characterized in that the topic providing means selects topics based on weather information and interest information obtained from an external information server.

[0887] (Claim 3)

[0888] The system according to claim 1, further comprising a notification means for informing a third party if there is no response from the user to a notification by the message notification means for a certain period of time.

[0889] "Example 1"

[0890] (Claim 1)

[0891] A means of providing topics to automatically facilitate communication with users at a predetermined time,

[0892] A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member,

[0893] A purchase support system that assists users in acquiring consumer goods through a transaction system based on their voice commands,

[0894] An emergency notification system that automatically sends a notification to emergency contacts, including location information and a description of the situation, based on an explicit voice command from the user.

[0895] A system that includes this.

[0896] (Claim 2)

[0897] The system according to claim 1, characterized in that the topic providing means selects topics based on environmental information and interest information acquired from an external information device.

[0898] (Claim 3)

[0899] The system according to claim 1, further comprising a notification means for informing a third party if there is no response from the user to a notification by the message notification means for a certain period of time.

[0900] "Application Example 1"

[0901] (Claim 1)

[0902] A topic provision method for automatically providing topics to users at pre-set times,

[0903] A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member,

[0904] A purchase support system that assists users in purchasing products through financial transactions based on their voice commands,

[0905] An emergency notification system that automatically notifies emergency contacts based on explicit voice commands from the user,

[0906] A dialogue generation means for understanding user utterances using speech recognition technology and generating appropriate conversation content,

[0907] A topic generation method for generating topics based on the user's interests and concerns using a generative AI model,

[0908] A system that includes this.

[0909] (Claim 2)

[0910] The system according to claim 1, characterized in that the topic providing means selects topics based on weather information and interest information obtained from an external information server.

[0911] (Claim 3)

[0912] The system according to claim 1, further comprising a notification means for informing a third party if there is no response from the user to a notification by the message notification means for a certain period of time.

[0913] "Example 2 of combining an emotion engine"

[0914] (Claim 1)

[0915] A means of providing information to users, which automatically provides topics at pre-set times,

[0916] An emotion recognition and topic selection means that uses an analysis device to recognize the user's emotional state and uses the recognition results to select and adapt to a topic,

[0917] A message adjustment and notification system that adjusts messages sent from third parties, such as family members, based on the user's emotional state and notifies them via voice,

[0918] A product selection optimization method that optimizes and provides product information based on emotional state to support user choices,

[0919] An emergency emotion detection and notification system that automatically notifies emergency contacts when extreme emotional changes are detected,

[0920] A system that includes this.

[0921] (Claim 2)

[0922] The system according to claim 1, characterized in that the information provision means generates and provides topics based on prompt sentences using a generative AI model.

[0923] (Claim 3)

[0924] The system according to claim 1, further comprising a notification means for informing a third party, such as a family member, if there is no response from the user to a notification made by the aforementioned message notification means for a certain period of time.

[0925] "Application example 2 of combining emotional engines"

[0926] (Claim 1)

[0927] An emotion recognition method for analyzing users' emotions in real time,

[0928] A means of providing information to users, which automatically provides topics at pre-set times,

[0929] A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member,

[0930] A purchase support system that assists users in selecting products through transactions based on their voice instructions,

[0931] An emergency notification system that automatically notifies emergency contacts based on explicit voice commands from the user,

[0932] A system that includes this.

[0933] (Claim 2)

[0934] The system according to claim 1, characterized in that the information providing means selects topics based on weather data and interest data obtained from an external information processing device.

[0935] (Claim 3)

[0936] The system according to claim 1, further comprising a notification means for informing a third party if there is no response from the user to a notification by the message notification means for a certain period of time. [Explanation of symbols]

[0937] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A topic provision method for automatically providing topics to users at pre-set times, A message notification system that notifies the user by voice at a specified time of a message sent by a third party, such as a family member, A purchase support system that assists users in purchasing products through financial transactions based on their voice commands, An emergency notification system that automatically notifies emergency contacts based on explicit voice commands from the user, A dialogue generation means for understanding user utterances using speech recognition technology and generating appropriate conversation content, A topic generation method for generating topics based on the user's interests and concerns using a generative AI model, A system that includes this.

2. The system according to claim 1, characterized in that the topic providing means selects topics based on weather information and interest information obtained from an external information server.

3. The system according to claim 1, further comprising a notification means for informing a third party if there is no response from the user to a notification by the message notification means for a certain period of time.

Images