System

Abstract

An object of a system according to an embodiment is to activate communication in a roll call application by performing personal authentication using an individual number card.SOLUTION: A system includes a personal authentication part, a communication promotion part, and a roll call function part. The personal authentication unit performs personal authentication using the individual number card. The communication promotion unit promotes communication of the user authenticated by the personal authentication unit through the roll call application. The roll call function unit implements a roll call function based on the communication promoted by the communication promotion unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technologies do not adequately promote personal authentication and communication in roll call apps, and there is room for improvement.

[0005] The system according to the embodiment aims to activate communication in the roll call app by using a My Number card to authenticate individuals. [Means for solving the problem]

[0006] The system according to the embodiment includes a personal authentication unit, a communication promotion unit, and a roll call function unit. The personal authentication unit performs personal authentication using a My Number card. The communication promotion unit promotes communication between users authenticated by the personal authentication unit through a roll call app. The roll call function unit implements a roll call function based on the communication promoted by the communication promotion unit. [Effects of the Invention]

[0007] The system according to the embodiment performs personal authentication using a My Number card, and can activate communication in the roll call app. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The communication activation system according to the embodiment of the present invention is a system that performs personal authentication using a My Number card and then promotes communication through a roll call app. As a result, the communication activation system integrates personal authentication and promotion of communication, thereby realizing highly reliable communication.

[0029] A communication activation system according to an embodiment includes a personal authentication unit, a communication promotion unit, and a roll call function unit. The personal authentication unit performs personal authentication using a My Number card. For example, the My Number card can be read using the NFC function of a smartphone. The personal authentication unit can also verify accurate user information using the information on the My Number card. The communication promotion unit promotes communication between users authenticated by the personal authentication unit through a roll call app. For example, real-time communication is possible using a chat function or a video call function. The communication promotion unit also supports conversations between multiple people using a group chat function. The roll call function unit implements a roll call function based on communication promoted by the communication promotion unit. For example, the roll call function allows a user to conduct a roll call through the app at a specific time. The user opens the app at a specified time and reports their attendance by pressing the roll call button. This allows the communication activation system according to an embodiment to provide a system that integrates personal authentication, communication promotion, and roll call functions.

[0030] The personal authentication unit can read the My Number card using the NFC function of the smartphone. The personal authentication unit reads the My Number card using, for example, the NFC function of the smartphone. For example, by holding the My Number card over the smartphone using the NFC function, the information on the card can be read. The personal authentication unit also performs personal authentication of the user based on the information read from the My Number card. This allows for quick and reliable personal authentication by reading the My Number card using the NFC function of the smartphone.

[0031] The communication promotion unit can enable real-time communication by using a chat function or a video call function. The communication promotion unit can, for example, send and receive messages in real time by using the chat function. For example, a user can send a message to another user by inputting a text message and pressing a send button. The communication promotion unit can also conduct video calls in real time by using a video call function. For example, a user can start a video call with another user by pressing a video call button. The communication promotion unit can also support real-time communication between multiple people by combining the chat function and the video call function. This enables real-time communication and allows users to smoothly communicate with each other.

[0032] The roll call function unit can be used to check attendance at schools or workplaces or to check participation in events. The roll call function unit can be used, for example, to check attendance at schools. For example, students can report their attendance by opening a roll call app at a designated time and pressing a roll call button. The roll call function unit can also be used to check attendance at workplaces. For example, employees can report their attendance by opening a roll call app and pressing a roll call button when they arrive at work. The roll call function unit can also be used to check participation in events. For example, event participants can report their participation by opening a roll call app when they arrive at the event venue and pressing a roll call button. This allows for efficient attendance and participation checks at schools, workplaces, and events.

[0033] The roll call function unit automatically opens a chat room after the roll call, allowing users to freely enjoy conversation with each other. The roll call function unit automatically opens a chat room after the roll call, for example. For example, after a user presses a roll call button, a chat room is automatically opened, allowing users to freely enjoy conversation with each other. The roll call function unit also has a function for supporting conversations within the chat room. For example, a user can send a message to other users by entering a text message and pressing a send button. The roll call function unit also supports a video call function within the chat room. For example, a user can start a video call with other users by pressing a video call button. This activates communication between users after the roll call.

[0034] The personal authentication unit can use the information on the My Number card only for personal authentication and not for other purposes. The personal authentication unit, for example, uses the information on the My Number card only for personal authentication. For example, the information on the My Number card is used only to authenticate the user and not for other purposes. The personal authentication unit also takes security measures to safely manage the information on the My Number card. For example, the information on the My Number card is protected using encryption technology and is protected from unauthorized access. This protects the user's privacy.

[0035] The personal authentication unit can strengthen security by using facial recognition technology when reading the My Number card, thereby performing double authentication. For example, when reading the My Number card, the personal authentication unit performs facial authentication using a smartphone camera. This confirms that the card owner and the actual user match. In addition, the personal authentication unit sends facial recognition data to the cloud at the same time as reading the My Number card, performing double authentication on the server side. This further strengthens security. In addition, the personal authentication unit uses facial recognition technology to perform facial authentication in real time when reading the My Number card, and only allows access if authentication is successful. This double authentication strengthens security.

[0036] The personal authentication unit can automatically acquire the user's past roll call history using the information on the My Number card and analyze attendance trends. For example, the personal authentication unit automatically acquires the user's past roll call history from a database based on the information on the My Number card and analyzes attendance trends. For example, the personal authentication unit analyzes the user's attendance patterns based on the roll call history and visualizes attendance rates and trends in tardiness. The personal authentication unit also uses the information on the My Number card to statistically analyze the user's past roll call data and predict attendance trends. This makes attendance management more efficient by analyzing attendance trends based on the user's past roll call history.

[0037] The personal authentication unit can enable personal authentication using other public authentication cards (e.g., driver's license or passport) instead of the My Number Card. The personal authentication unit, for example, builds a system that performs personal authentication using a driver's license instead of the My Number Card. For example, the driver's license is read using the NFC function of a smartphone. The personal authentication unit also develops a system that enables personal authentication using a passport, and performs the authentication process in the same way as the My Number Card. The personal authentication unit also builds a system that performs personal authentication using other public authentication cards (e.g., health insurance card), ensuring security equivalent to that of the My Number Card. This makes it possible to perform personal authentication using public authentication cards other than the My Number Card, providing a flexible authentication method.

[0038] The personal authentication unit can improve convenience by making the My Number Card reading function compatible with smartwatches and wearable devices. For example, the personal authentication unit can equip a smartwatch with an NFC function, enabling it to read My Number Cards. This allows personal authentication to be performed without the need for a smartphone. The personal authentication unit can also improve convenience by adding My Number Card reading functionality to wearable devices (for example, smart glasses). The personal authentication unit can also develop a system that uses a smartwatch or wearable device to read information from My Number Cards and perform personal authentication. This makes it possible to perform personal authentication using a smartwatch or wearable device, improving convenience.

[0039] The communication promotion unit can automatically generate topics based on a user's interests and concerns to promote communication. For example, in a roll call app, the communication promotion unit analyzes a user's past chat history and search history to automatically generate topics based on their interests and concerns. For example, the communication promotion unit suggests related topics based on keywords the user has previously searched for and the contents of chat rooms they have participated in. The communication promotion unit also promotes communication by suggesting topics that match the user's interests and concerns based on the user's profile information. For example, the communication promotion unit automatically generates topics related to the user's hobbies and concerns and suggests them in the chat room. The communication promotion unit also uses AI to generate topics based on the user's interests and concerns in real time and suggests them in the chat room. In this way, communication is promoted by automatically generating topics based on the user's interests and concerns.

[0040] The communication promotion unit is equipped with AI that learns the user's communication style and can suggest the optimal communication method. For example, an AI installed in a roll call app analyzes the user's past chat history to learn the user's communication style. For example, it learns the user's preferred communication method and frequency and suggests the optimal communication method. The communication promotion unit also uses AI to suggest the optimal communication method (e.g., text, audio, video) based on the user's communication style. For example, if the user prefers text messages, it will preferentially suggest text messages. The communication promotion unit also uses AI that has learned the user's communication style to send messages and suggestions at the appropriate time, facilitating communication. In this way, communication can be made smoother by learning the user's communication style and suggesting the optimal communication method.

[0041] The communication promotion unit can add a voice recognition function to enable voice communication. For example, the communication promotion unit can add a voice recognition function to a roll call app to enable users to input messages by voice. For example, chat messages can be sent by voice input. The communication promotion unit can also use voice recognition technology to convert the user's voice into text to support communication via chat or video calls. The communication promotion unit can also integrate a voice recognition function into the roll call app to enable app operation and message sending using voice commands. By adding the voice recognition function, voice communication becomes possible, improving convenience.

[0042] The communication promotion unit can link the roll call app with other SNS platforms to realize wider communication. For example, the communication promotion unit links the roll call app with SNS platforms such as Facebook and Twitter, allowing users to communicate through other SNS accounts. The communication promotion unit also links with other SNS platforms to add a function that allows messages and posts within the roll call app to be shared on other SNS platforms simultaneously. The communication promotion unit also integrates the roll call app with other SNS platforms, allowing users to manage and communicate with multiple SNS accounts using a single app. In this way, linking the roll call app with other SNS platforms realizes wider communication.

[0043] The roll call function unit can improve the accuracy of attendance confirmation by combining location information and automatically confirming the user's current location. For example, the roll call function unit integrates GPS into the roll call function to automatically confirm the user's current location when the user makes a roll call. This improves the accuracy of attendance confirmation. The roll call function unit also builds a system that acquires location information when the user makes a roll call and confirms that the user is at a specified location. The roll call function unit also adds a location information service to the roll call function and confirms the user's current location in real time, thereby performing accurate attendance confirmation. In this way, by combining location information, the accuracy of attendance confirmation improves.

[0044] The roll call function unit adds a function to check the user's health status and can automatically send a notification if the user feels unwell. For example, the roll call function unit adds a health status check function to the roll call function and measures the user's body temperature and heart rate when making a roll call. The roll call function unit also builds a system that monitors the user's health status in real time and automatically sends a notification if unwellness is detected. The roll call function unit also integrates a health status check function into the roll call function and provides an interface that allows the user to report feeling unwell. This allows the user's health status to be checked and a notification to be automatically sent if the user feels unwell, enabling a quick response.

[0045] The roll call function unit can be made compatible with remote work and online learning, allowing attendance to be confirmed regardless of location. For example, the roll call function unit makes the roll call function compatible with remote work, allowing users to confirm attendance from any location, such as at home or a cafe. The roll call function unit also develops a roll call function that is compatible with online learning, allowing students to confirm attendance from home. The roll call function unit also makes the roll call function cloud-based, building a system that allows attendance to be confirmed from anywhere with an internet connection. This makes it possible to support remote work and online learning, allowing attendance to be confirmed regardless of location.

[0046] The roll call function unit can also be used as an event check-in system, making participant management more efficient. For example, the roll call function can be used as an event check-in system, allowing participants to easily check in using their smartphones. In addition, the roll call function unit builds a system that can check participant attendance status in real time using the roll call function, in order to make event participant management more efficient. The roll call function can also be integrated into an event management system, automatically collecting and managing participant check-in data. This makes participant management more efficient by allowing the roll call function to be used as an event check-in system.

[0047] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0048] The personal authentication unit can add a function to check the user's health condition when reading the My Number card. For example, when reading the My Number card using the NFC function of a smartphone, the user's body temperature and heart rate can be measured at the same time. The personal authentication unit can also build a system that sends health condition data to the cloud and automatically sends a notification if an abnormality is detected. This makes health management more efficient by checking the user's health condition at the same time as personal authentication.

[0049] The roll call function unit can add a function that automatically performs a roll call when a user arrives at a specified location based on the user's location information. For example, when a user arrives at a specified venue, a roll call is automatically performed using GPS to report attendance. The roll call function unit can also build a system that confirms that a user is at a specified location based on location information and performs a roll call. This allows a roll call to be performed automatically when a user arrives at a specified location, making attendance confirmation more efficient.

[0050] When the personal authentication unit reads the My Number card, it can automatically acquire the user's past health data and analyze their health condition. For example, it can evaluate their current health condition based on past body temperature and heart rate data. The personal authentication unit can also predict the user's health trends based on past health data and provide health management advice. This allows the user's health condition to be analyzed simultaneously with personal authentication, making health management more efficient.

[0051] The roll call function adds a function to check the user's health status and can automatically send a notification if the user feels unwell. For example, a system can be built that measures body temperature and heart rate during roll call and automatically sends a notification if an abnormality is detected. The roll call function can also send health status data to the cloud and monitor it in real time. This allows the user's health status to be checked and a prompt response to be taken if the user feels unwell.

[0052] The personal authentication unit can enable personal authentication using other official authentication cards (e.g., driver's license or passport) instead of the My Number Card. For example, a system can be built that reads a driver's license using the NFC function of a smartphone. The personal authentication unit can also develop a system that enables personal authentication using a passport, and can perform the authentication process in the same way as with the My Number Card. This makes it possible to authenticate individuals using official authentication cards other than the My Number Card, providing a flexible means of authentication.

[0053] The processing flow of the first embodiment will be briefly explained below.

[0054] Step 1: The personal authentication unit performs personal authentication using the My Number card. For example, the My Number card can be read using the NFC function of a smartphone. The personal authentication unit can also use the information on the My Number card to confirm the user's accurate information. Step 2: The communication promotion unit promotes communication through the roll call app for users authenticated by the personal authentication unit. For example, real-time communication is possible using chat and video call functions. The communication promotion unit also supports conversations between multiple people using a group chat function. Step 3: The roll call function unit implements the roll call function based on the communication promoted by the communication promotion unit. For example, a roll call function is a function that allows a user to conduct a roll call through the app at a specific time. The user opens the app at the specified time and reports their attendance by pressing the roll call button.

[0055] (Example 2) The communication activation system according to the embodiment of the present invention is a system that performs personal authentication using a My Number card and then promotes communication through a roll call app. As a result, the communication activation system integrates personal authentication and promotion of communication, thereby realizing highly reliable communication.

[0056] A communication activation system according to an embodiment includes a personal authentication unit, a communication promotion unit, and a roll call function unit. The personal authentication unit performs personal authentication using a My Number card. For example, the My Number card can be read using the NFC function of a smartphone. The personal authentication unit can also verify accurate user information using the information on the My Number card. The communication promotion unit promotes communication between users authenticated by the personal authentication unit through a roll call app. For example, real-time communication is possible using a chat function or a video call function. The communication promotion unit also supports conversations between multiple people using a group chat function. The roll call function unit implements a roll call function based on communication promoted by the communication promotion unit. For example, the roll call function allows a user to conduct a roll call through the app at a specific time. The user opens the app at a specified time and reports their attendance by pressing the roll call button. This allows the communication activation system according to an embodiment to provide a system that integrates personal authentication, communication promotion, and roll call functions.

[0057] The personal authentication unit can read the My Number card using the NFC function of the smartphone. The personal authentication unit reads the My Number card using, for example, the NFC function of the smartphone. For example, by holding the My Number card over the smartphone using the NFC function, the information on the card can be read. The personal authentication unit also performs personal authentication of the user based on the information read from the My Number card. This allows for quick and reliable personal authentication by reading the My Number card using the NFC function of the smartphone.

[0058] The communication promotion unit can enable real-time communication by using a chat function or a video call function. The communication promotion unit can, for example, send and receive messages in real time by using the chat function. For example, a user can send a message to another user by inputting a text message and pressing a send button. The communication promotion unit can also conduct video calls in real time by using a video call function. For example, a user can start a video call with another user by pressing a video call button. The communication promotion unit can also support real-time communication between multiple people by combining the chat function and the video call function. This enables real-time communication and allows users to smoothly communicate with each other.

[0059] The roll call function unit can be used to check attendance at schools or workplaces or to check participation in events. The roll call function unit can be used, for example, to check attendance at schools. For example, students can report their attendance by opening a roll call app at a designated time and pressing a roll call button. The roll call function unit can also be used to check attendance at workplaces. For example, employees can report their attendance by opening a roll call app and pressing a roll call button when they arrive at work. The roll call function unit can also be used to check participation in events. For example, event participants can report their participation by opening a roll call app when they arrive at the event venue and pressing a roll call button. This allows for efficient attendance and participation checks at schools, workplaces, and events.

[0060] The roll call function unit automatically opens a chat room after the roll call, allowing users to freely enjoy conversation with each other. The roll call function unit automatically opens a chat room after the roll call, for example. For example, after a user presses a roll call button, a chat room is automatically opened, allowing users to freely enjoy conversation with each other. The roll call function unit also has a function for supporting conversations within the chat room. For example, a user can send a message to other users by entering a text message and pressing a send button. The roll call function unit also supports a video call function within the chat room. For example, a user can start a video call with other users by pressing a video call button. This activates communication between users after the roll call.

[0061] The personal authentication unit can use the information on the My Number card only for personal authentication and not for other purposes. The personal authentication unit, for example, uses the information on the My Number card only for personal authentication. For example, the information on the My Number card is used only to authenticate the user and not for other purposes. The personal authentication unit also takes security measures to safely manage the information on the My Number card. For example, the information on the My Number card is protected using encryption technology and is protected from unauthorized access. This protects the user's privacy.

[0062] The personal authentication unit can strengthen security by using facial recognition technology when reading the My Number card, thereby performing double authentication. For example, when reading the My Number card, the personal authentication unit performs facial authentication using a smartphone camera. This confirms that the card owner and the actual user match. In addition, the personal authentication unit sends facial recognition data to the cloud at the same time as reading the My Number card, performing double authentication on the server side. This further strengthens security. In addition, the personal authentication unit uses facial recognition technology to perform facial authentication in real time when reading the My Number card, and only allows access if authentication is successful. This double authentication strengthens security.

[0063] The personal authentication unit can automatically acquire the user's past roll call history using the information on the My Number card and analyze attendance trends. For example, the personal authentication unit automatically acquires the user's past roll call history from a database based on the information on the My Number card and analyzes attendance trends. For example, the personal authentication unit analyzes the user's attendance patterns based on the roll call history and visualizes attendance rates and trends in tardiness. The personal authentication unit also uses the information on the My Number card to statistically analyze the user's past roll call data and predict attendance trends. This makes attendance management more efficient by analyzing attendance trends based on the user's past roll call history.

[0064] The personal authentication unit can use the emotion estimation function to analyze the user's emotions when the My Number card is read and provide feedback to reduce stress and anxiety. For example, the personal authentication unit analyzes the user's facial expression when the My Number card is read and estimates emotions. If stress or anxiety is detected, advice to relax is displayed. The personal authentication unit also uses the emotion estimation function to collect emotional data on the user when the My Number card is read and provides feedback to reduce stress. The personal authentication unit also analyzes the user's emotions in real time when the My Number card is read and displays relaxation music or messages to reduce stress and anxiety. This analyzes the user's emotions and provides feedback to reduce stress and anxiety, thereby increasing the user's sense of security.

[0065] The personal authentication unit can enable personal authentication using other public authentication cards (e.g., driver's license or passport) instead of the My Number Card. The personal authentication unit, for example, builds a system that performs personal authentication using a driver's license instead of the My Number Card. For example, the driver's license is read using the NFC function of a smartphone. The personal authentication unit also develops a system that enables personal authentication using a passport, and performs the authentication process in the same way as the My Number Card. The personal authentication unit also builds a system that performs personal authentication using other public authentication cards (e.g., health insurance card), ensuring security equivalent to that of the My Number Card. This makes it possible to perform personal authentication using public authentication cards other than the My Number Card, providing a flexible authentication method.

[0066] The personal authentication unit can improve convenience by making the My Number Card reading function compatible with smartwatches and wearable devices. For example, the personal authentication unit can equip a smartwatch with an NFC function, enabling it to read My Number Cards. This allows personal authentication to be performed without the need for a smartphone. The personal authentication unit can also improve convenience by adding My Number Card reading functionality to wearable devices (for example, smart glasses). The personal authentication unit can also develop a system that uses a smartwatch or wearable device to read information from My Number Cards and perform personal authentication. This makes it possible to perform personal authentication using a smartwatch or wearable device, improving convenience.

[0067] The personal authentication unit can use the emotion estimation function to analyze the user's emotions during personal authentication and make improvements to make the authentication process more user-friendly. For example, the personal authentication unit analyzes the user's emotions in real time during personal authentication and simplifies the authentication process if stress or anxiety is detected. The personal authentication unit also uses the emotion estimation function to collect user emotion data and identify areas for improvement in the authentication process. For example, it provides an interface that allows the user to relax. The personal authentication unit also designs a user-friendly authentication process based on the emotion data during personal authentication and improves user satisfaction. In this way, by analyzing the user's emotions and making the authentication process more user-friendly, user satisfaction is improved.

[0068] The communication promotion unit can automatically generate topics based on a user's interests and concerns to promote communication. For example, in a roll call app, the communication promotion unit analyzes a user's past chat history and search history to automatically generate topics based on their interests and concerns. For example, the communication promotion unit suggests related topics based on keywords the user has previously searched for and the contents of chat rooms they have participated in. The communication promotion unit also promotes communication by suggesting topics that match the user's interests and concerns based on the user's profile information. For example, the communication promotion unit automatically generates topics related to the user's hobbies and concerns and suggests them in the chat room. The communication promotion unit also uses AI to generate topics based on the user's interests and concerns in real time and suggests them in the chat room. In this way, communication is promoted by automatically generating topics based on the user's interests and concerns.

[0069] The communication promotion unit is equipped with AI that learns the user's communication style and can suggest the optimal communication method. For example, an AI installed in a roll call app analyzes the user's past chat history to learn the user's communication style. For example, it learns the user's preferred communication method and frequency and suggests the optimal communication method. The communication promotion unit also uses AI to suggest the optimal communication method (e.g., text, audio, video) based on the user's communication style. For example, if the user prefers text messages, it will preferentially suggest text messages. The communication promotion unit also uses AI that has learned the user's communication style to send messages and suggestions at the appropriate time, facilitating communication. In this way, communication can be made smoother by learning the user's communication style and suggesting the optimal communication method.

[0070] The communication promotion unit can use the emotion estimation function to analyze the user's emotions during chat or video call in real time and automatically generate an appropriate response. For example, the communication promotion unit analyzes the user's facial expressions and voice during chat or video call to estimate emotions. An appropriate response is automatically generated according to the emotions. The communication promotion unit also uses the emotion estimation function to collect user emotion data in real time, and AI generates an appropriate response. The communication promotion unit also uses AI to automatically generate a response according to the user's emotions based on the emotion data during chat or video call, thereby facilitating communication. In this way, by analyzing the user's emotions in real time and automatically generating an appropriate response, communication can be carried out smoothly.

[0071] The communication promotion unit can add a voice recognition function to enable voice communication. For example, the communication promotion unit can add a voice recognition function to a roll call app to enable users to input messages by voice. For example, chat messages can be sent by voice input. The communication promotion unit can also use voice recognition technology to convert the user's voice into text to support communication via chat or video calls. The communication promotion unit can also integrate a voice recognition function into the roll call app to enable app operation and message sending using voice commands. By adding the voice recognition function, voice communication becomes possible, improving convenience.

[0072] The communication promotion unit can link the roll call app with other SNS platforms to realize wider communication. For example, the communication promotion unit links the roll call app with SNS platforms such as Facebook and Twitter, allowing users to communicate through other SNS accounts. The communication promotion unit also links with other SNS platforms to add a function that allows messages and posts within the roll call app to be shared on other SNS platforms simultaneously. The communication promotion unit also integrates the roll call app with other SNS platforms, allowing users to manage and communicate with multiple SNS accounts using a single app. In this way, linking the roll call app with other SNS platforms realizes wider communication.

[0073] The communication promotion unit can enrich communication by automatically suggesting stamps and emojis that correspond to the user's emotions using the emotion estimation function. The communication promotion unit, for example, uses the emotion estimation function to analyze the user's emotions in real time and automatically suggest appropriate stamps and emojis. The communication promotion unit also adds a function to analyze the user's emotions during chat and automatically display stamps and emojis that correspond to the emotions. The communication promotion unit also builds a system that suggests stamps and emojis that match the user's emotions based on the emotion estimation data, thereby enriching communication. As a result, communication is enriched by automatically suggesting stamps and emojis that correspond to the user's emotions.

[0074] The roll call function unit can improve the accuracy of attendance confirmation by combining location information and automatically confirming the user's current location. For example, the roll call function unit integrates GPS into the roll call function to automatically confirm the user's current location when the user makes a roll call. This improves the accuracy of attendance confirmation. The roll call function unit also builds a system that acquires location information when the user makes a roll call and confirms that the user is at a specified location. The roll call function unit also adds a location information service to the roll call function and confirms the user's current location in real time, thereby performing accurate attendance confirmation. In this way, by combining location information, the accuracy of attendance confirmation improves.

[0075] The roll call function unit adds a function to check the user's health status and can automatically send a notification if the user feels unwell. For example, the roll call function unit adds a health status check function to the roll call function and measures the user's body temperature and heart rate when making a roll call. The roll call function unit also builds a system that monitors the user's health status in real time and automatically sends a notification if unwellness is detected. The roll call function unit also integrates a health status check function into the roll call function and provides an interface that allows the user to report feeling unwell. This allows the user's health status to be checked and a notification to be automatically sent if the user feels unwell, enabling a quick response.

[0076] The roll call function unit can use the emotion estimation function to analyze the user's emotions during roll call and automatically generate a message to increase motivation. The roll call function unit, for example, analyzes the user's emotions in real time during roll call and automatically generates and displays a positive message. The roll call function unit also uses the emotion estimation function to collect user emotion data during roll call and provide a message to increase motivation. The roll call function unit also builds a system that automatically generates a customized message to increase user motivation based on the emotion data during roll call. This analyzes the user's emotions and automatically generates a message to increase motivation, thereby improving the user's motivation.

[0077] The roll call function unit can be made compatible with remote work and online learning, allowing attendance to be confirmed regardless of location. For example, the roll call function unit makes the roll call function compatible with remote work, allowing users to confirm attendance from any location, such as at home or a cafe. The roll call function unit also develops a roll call function that is compatible with online learning, allowing students to confirm attendance from home. The roll call function unit also makes the roll call function cloud-based, building a system that allows attendance to be confirmed from anywhere with an internet connection. This makes it possible to support remote work and online learning, allowing attendance to be confirmed regardless of location.

[0078] The roll call function unit can also be used as an event check-in system, making participant management more efficient. For example, the roll call function can be used as an event check-in system, allowing participants to easily check in using their smartphones. In addition, the roll call function unit builds a system that can check participant attendance status in real time using the roll call function, in order to make event participant management more efficient. The roll call function can also be integrated into an event management system, automatically collecting and managing participant check-in data. This makes participant management more efficient by allowing the roll call function to be used as an event check-in system.

[0079] The roll call function unit uses the emotion estimation function to analyze the user's emotions after the roll call and provide positive feedback, thereby increasing motivation to attend. The roll call function unit, for example, analyzes the user's emotions in real time after the roll call and automatically generates and displays positive feedback. The roll call function unit also uses the emotion estimation function to collect emotional data of the user after the roll call and provide feedback to increase motivation to attend. The roll call function unit also builds a system that automatically generates customized feedback to increase user motivation based on the emotional data after the roll call. As a result, motivation to attend is increased by analyzing the user's emotions after the roll call and providing positive feedback.

[0080] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0081] The personal authentication unit can add a function to check the user's health condition when reading the My Number card. For example, when reading the My Number card using the NFC function of a smartphone, the user's body temperature and heart rate can be measured at the same time. The personal authentication unit can also build a system that sends health condition data to the cloud and automatically sends a notification if an abnormality is detected. This makes health management more efficient by checking the user's health condition at the same time as personal authentication.

[0082] The communication promotion unit can add a function to estimate the user's emotions and automatically play music that matches the emotions. For example, if the user is feeling stressed, relaxing music can be played, and if the user is feeling down, uplifting music can be played. The communication promotion unit can also use the emotion estimation function to automatically generate a music playlist that matches the user's emotions and suggest it to the user. This allows for richer communication by providing music that matches the user's emotions.

[0083] The roll call function unit can add a function that automatically performs a roll call when a user arrives at a specified location based on the user's location information. For example, when a user arrives at a specified venue, a roll call is automatically performed using GPS to report attendance. The roll call function unit can also build a system that confirms that a user is at a specified location based on location information and performs a roll call. This allows a roll call to be performed automatically when a user arrives at a specified location, making attendance confirmation more efficient.

[0084] When the personal authentication unit reads the My Number card, it can automatically acquire the user's past health data and analyze their health condition. For example, it can evaluate their current health condition based on past body temperature and heart rate data. The personal authentication unit can also predict the user's health trends based on past health data and provide health management advice. This allows the user's health condition to be analyzed simultaneously with personal authentication, making health management more efficient.

[0085] The communication promotion unit can add a function to estimate the user's emotions and automatically generate messages according to the emotions. For example, if the user is sad, an encouraging message is automatically generated, and if the user is happy, a congratulatory message is automatically generated. The communication promotion unit can also use the emotion estimation function to generate messages according to the user's emotions in real time and display them during chats or video calls. This allows for smoother communication by providing messages according to the user's emotions.

[0086] The roll call function adds a function to check the user's health status and can automatically send a notification if the user feels unwell. For example, a system can be built that measures body temperature and heart rate during roll call and automatically sends a notification if an abnormality is detected. The roll call function can also send health status data to the cloud and monitor it in real time. This allows the user's health status to be checked and a prompt response to be taken if the user feels unwell.

[0087] The personal authentication unit can use the emotion estimation function to analyze the user's emotions when the My Number card is read and provide feedback to reduce stress and anxiety. For example, the unit analyzes the user's facial expression when the My Number card is read and estimates emotions. If stress or anxiety is detected, it displays advice to help relax. The personal authentication unit can also use the emotion estimation function to collect emotional data on the user when the My Number card is read and provide feedback to reduce stress. This increases the user's sense of security by analyzing the user's emotions and providing feedback to reduce stress and anxiety.

[0088] The communication promotion unit can add a function to estimate a user's emotions and automatically suggest stamps and emojis according to the emotions. For example, the unit can analyze a user's emotions in real time during a chat and automatically suggest appropriate stamps and emojis. The communication promotion unit can also use the emotion estimation function to build a system that automatically displays stamps and emojis that match the user's emotions. This will enrich communication by providing stamps and emojis that match the user's emotions.

[0089] The roll call function unit can add a function to estimate the user's emotions and provide positive feedback after the roll call. For example, the roll call function unit can analyze the user's emotions in real time after the roll call and automatically generate and display a positive message. The roll call function unit can also use the emotion estimation function to collect emotional data of the user after the roll call and provide feedback to increase the user's motivation to attend. This allows the user's emotions after the roll call to be analyzed and positive feedback to be provided, thereby increasing the user's motivation to attend.

[0090] The personal authentication unit can enable personal authentication using other official authentication cards (e.g., driver's license or passport) instead of the My Number Card. For example, a system can be built that reads a driver's license using the NFC function of a smartphone. The personal authentication unit can also develop a system that enables personal authentication using a passport, and can perform the authentication process in the same way as with the My Number Card. This makes it possible to authenticate individuals using official authentication cards other than the My Number Card, providing a flexible means of authentication.

[0091] The processing flow of the second embodiment will be briefly explained below.

[0092] Step 1: The personal authentication unit performs personal authentication using the My Number card. For example, the My Number card can be read using the NFC function of a smartphone. The personal authentication unit can also use the information on the My Number card to confirm the user's accurate information. Step 2: The communication promotion unit promotes communication through the roll call app for users authenticated by the personal authentication unit. For example, real-time communication is possible using chat and video call functions. The communication promotion unit also supports conversations between multiple people using a group chat function. Step 3: The roll call function unit implements the roll call function based on the communication promoted by the communication promotion unit. For example, a roll call function is a function that allows a user to conduct a roll call through the app at a specific time. The user opens the app at the specified time and reports their attendance by pressing the roll call button.

[0093] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0094] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0095] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0096] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0097] 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.

[0098] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0099] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0100] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0101] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0102] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0103] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0104] 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.

[0105] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0106] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0107] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0108] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0109] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0110] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0111] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0112] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0113] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0114] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0115] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0116] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0117] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0118] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0119] 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.

[0120] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0121] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0122] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0123] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0124] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0125] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0126] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0127] 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.

[0128] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0129] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0130] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0131] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0132] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0133] The control 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0134] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0135] 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.

[0136] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0137] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0138] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0139] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0140] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0141] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0142] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0143] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0144] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0145] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0146] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0147] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0148] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0149] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0150] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0151] 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.

[0152] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0153] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0154] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0155] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0156] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0157] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0158] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0159] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0160] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a personal authentication unit that performs personal authentication using a My Number card; a communication promotion unit that promotes communication through a roll call application by a user authenticated by the personal authentication unit; a roll call function unit that implements a roll call function based on the communication promoted by the communication promotion unit; A system characterized by:

2. The personal authentication unit The My Number card is read using the NFC function of the smartphone.

2. The system of claim 1.

3. The communication promotion unit Enable real-time communication using chat and video call functions 2. The system of claim 1.

4. The roll call function unit Can be used to confirm attendance at school or work, or to confirm participation in events 2. The system of claim 1.

5. The roll call function unit After the roll call, a chat room will be automatically opened, allowing users to freely chat with each other.

2. The system of claim 1.

6. The personal authentication unit The information on the My Number card will be used only for personal authentication and will not be used for any other purposes.

2. The system of claim 1.

7. The personal authentication unit When reading the My Number card, facial recognition technology will be used in combination to perform double authentication, strengthening security.

2. The system of claim 1.

8. The personal authentication unit The information on the My Number card is used to automatically obtain the user's past roll call history and analyze attendance trends.

2. The system of claim 1.

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