system

The system addresses the challenge of providing quick emergency information by using a QR code-based application that registers and updates user information, sends notifications, and incorporates emotion analysis for personalized responses, ensuring efficient and flexible information delivery.

JP2026029330APending Publication Date: 2026-02-20SOFTBANK GROUP CORP
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Patent Information

Application Number
JP2024132179
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-08-08
Publication Date
2026-02-20

AI Technical Summary

Technical Problem

Conventional systems face difficulties in enabling outsiders to quickly obtain necessary information during emergencies.

Method used

A system that includes an application registration unit, QR code generation unit, and notification unit, allowing users to register information which is converted into a QR code, displayed via a smartphone, and sends notifications to emergency contacts when read, with features for updating and customizing information based on user behavior and location.

Benefits of technology

Enables quick and accurate provision of emergency information to outsiders, including visual and auditory formats, and facilitates efficient emergency responses by linking QR code operations with other functions and utilizing emotion analysis for personalized notifications.

✦ Generated by Eureka AI based on patent content.

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Abstract

An object of a system according to an embodiment is to enable an outside person to quickly acquire necessary information in an emergency.SOLUTION: A system includes an application registration unit, a QR code generation unit, a QR code display unit, and a notification unit. The application registration unit registers an application. The QR code generation unit converts the registered information into a QR code. The QR code display unit displays the generated QR code. The notification unit makes a notification to the emergency contact address when the QR code is read.SELECTED DRAWING: Figure 1
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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 technology has had the problem that it is difficult for outsiders to quickly obtain necessary information in an emergency.

[0005] The system according to the embodiment aims to enable an outside person to quickly obtain necessary information in an emergency. [Means for solving the problem]

[0006] The system according to the embodiment includes an application registration unit, a QR code generation unit, a QR code display unit, and a notification unit. The application registration unit registers an application. The QR code generation unit converts the registered information into a QR code. The QR code display unit displays the generated QR code. The notification unit notifies the emergency contact when the QR code is read. [Effects of the Invention]

[0007] The system according to the embodiment can enable an outside person to quickly obtain necessary information in an emergency. [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 emergency information provision system according to an embodiment of the present invention uses an application called "Rowan" to convert information needed in an emergency into a QR code. By double-clicking the power button on a smartphone, an outsider can read the QR code and instantly obtain the necessary information without the need for a PIN or facial recognition. This allows the emergency information provision system to quickly and accurately provide the user with the information they need in an emergency. Furthermore, the system has a function that sends a notification to emergency contacts as soon as the QR code is read, providing peace of mind not only to the user but also to their family and partner.

[0029] An emergency information provision system according to an embodiment includes an application registration unit, a QR code generation unit, a QR code display unit, and a notification unit. The application registration unit allows a user to register necessary information. For example, emergency contact information, medical information, and address can be registered. The QR code generation unit converts the registered information into a QR code. For example, when a user registers their emergency contact information or allergy information, the information is generated as a QR code. The QR code display unit displays a QR code by double-clicking the smartphone's power button. For example, even if the user is unconscious due to an accident or sudden illness, nearby people can easily display the QR code. The notification unit sends a notification to the emergency contact when the QR code is read. For example, the notification includes information such as that the QR code has been read and the user's current location. This allows the emergency information provision system to quickly and accurately provide the user with necessary information in an emergency. For example, emergency personnel can immediately check the user's emergency contact information and medical information by reading the QR code. This also allows family members and partners to quickly understand the user's situation.

[0030] The QR code generation unit can periodically update registered information based on the user's behavioral history and location information. The QR code generation unit adds a function to automatically update registered information based on the user's behavioral history and location information, for example. For example, address information is automatically updated when the user moves to a new location. In addition, a system is constructed that analyzes the user's behavioral history and periodically updates registered information. For example, medical information is automatically updated when the user visits a new medical institution. In addition, a function to automatically update the user's registered information based on location information is added. For example, current location information is automatically updated while the user is traveling and emergency contacts are notified. In this way, by automatically updating registered information based on the user's behavioral history and location information, the latest information can always be provided.

[0031] The QR code display unit can provide not only visual but also auditory information by including an audio message or video message in the information converted into a QR code. The QR code display unit can provide not only visual but also auditory information by, for example, including an audio message in the information converted into a QR code. For example, a message explaining the user's emergency contact information by audio may be included. Also, by including a video message in the QR code, information can be provided both visually and auditorily. For example, a video message in which the user explains their medical information may be included in the QR code. Also, including an audio or video message in the QR code can help the user understand the information. For example, a message in which the user explains their allergy information by audio may be included in the QR code. This provides not only visual but also auditory information, helping the user understand the information.

[0032] The QR code display unit allows information registration and QR code generation in different languages, promoting international use. The QR code display unit, for example, builds a system that allows information registration and QR code generation in different languages. For example, information can be registered in multiple languages, such as English, French, and Chinese, and QR codes can be generated. In addition, a multilingual information registration function can be added to promote international use. For example, it allows users to register emergency contact information in multiple languages. It also allows QR code generation in different languages, promoting international use. For example, it allows users to convert medical information into a QR code in the language of their travel destination. This allows information registration and QR code generation in different languages, promoting international use.

[0033] The QR code display unit can display a QR code not only by double-clicking the power button, but also by a specific gesture or voice command. The QR code display unit can display a QR code not only by double-clicking the power button, but also by a specific gesture. For example, a QR code is displayed by shaking the smartphone. A system is also constructed that allows a QR code to be displayed using a voice command. For example, a QR code is displayed by issuing a voice command such as "Display the emergency QR code." A QR code can also be displayed using a specific gesture or voice command. For example, a QR code is displayed by tilting the smartphone in a specific direction. This allows a QR code to be displayed using a specific gesture or voice command, making operations in an emergency more flexible.

[0034] The QR code display unit can make it possible to customize the operation of double-clicking the power button based on the user's individual motion pattern. The QR code display unit builds a system that makes it possible to customize, for example, the operation of double-clicking the power button based on the user's individual motion pattern. For example, the QR code is displayed with a specific click pattern set by the user. Furthermore, the system learns the user's motion pattern and provides an individually customized operation method. For example, the QR code is displayed when the user clicks the power button with a specific rhythm. Furthermore, the system makes it possible to customize the operation of the power button to suit the user's preferences. For example, the QR code is displayed with a specific number of clicks or timing set by the user. This makes it possible to provide a system that is easier to use by customizing the operation based on the user's individual motion pattern.

[0035] The QR code display unit can also display a QR code with a similar operation on a smartwatch or other wearable device. The QR code display unit builds a system that enables a QR code to be displayed with a similar operation on a smartwatch or other wearable device, for example. For example, a QR code is displayed by double-clicking a button on a smartwatch. Also, the QR code can be displayed using a wearable device. For example, a QR code is displayed by double-clicking a button on a fitness tracker. Also, the QR code can be displayed on a smartwatch or other wearable device. For example, a QR code is displayed by double-tapping a touchpad on smart glasses. This allows QR codes to be displayed on smartwatches and other wearable devices, making operations more flexible in emergencies.

[0036] The QR code display unit can link the operation of double-clicking the power button with other emergency functions (for example, making an emergency call or sending location information). The QR code display unit, for example, builds a system that links the operation of double-clicking the power button with an emergency call function. For example, an emergency call is made at the same time as displaying a QR code. The operation of double-clicking the power button is also linked with a function for sending location information. For example, current location information is sent to an emergency contact at the same time as displaying a QR code. The operation of double-clicking the power button is also linked with other emergency functions. For example, an automatic call is made to an emergency contact at the same time as displaying a QR code. In this way, by linking the operation of double-clicking the power button with other emergency functions, emergency responses become quicker and more effective.

[0037] The QR code display unit can not only acquire information but also automatically execute related actions (for example, automatically call an emergency contact) when a QR code is read. For example, a system is constructed in which the QR code display unit not only acquires information but also automatically calls an emergency contact when a QR code is read. For example, an emergency contact is automatically called upon reading the QR code. A system is also developed in which related actions are automatically executed upon reading a QR code. For example, current location information is sent to an emergency contact upon reading the QR code. Furthermore, related actions are automatically executed upon acquiring information upon reading a QR code. For example, an SMS is sent to an emergency contact upon reading the QR code. In this way, by automatically executing related actions upon reading a QR code, emergency responses become quick and effective.

[0038] The QR code display unit can combine AR (Augmented Reality) technology with QR code reading to visually highlight information. For example, the QR code display unit will build a system that combines AR technology with QR code reading to visually highlight information. For example, when a QR code is read, emergency contact information is highlighted using AR. AR technology will also be used to visually highlight information read from the QR code. For example, medical information or allergy information will be displayed using AR. A system will also be developed that combines AR technology with QR code reading to visually highlight information. For example, the user's current location information will be displayed using AR. In this way, by combining AR technology, information can be visually highlighted, helping to understand the information.

[0039] The QR code display unit can provide information by voice through a voice assistant when the QR code is read. The QR code display unit builds a system that provides information by voice through a voice assistant when a QR code is read. For example, emergency contact information is explained by voice. Information read from the QR code is also provided by voice using a voice assistant. For example, medical information or allergy information is explained by voice. A system is also developed that provides information by voice through a voice assistant when a QR code is read. For example, the user's current location information is explained by voice. By providing information by voice through a voice assistant, information can be provided not only visually but also aurally.

[0040] The notification unit can use generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, the notification unit builds a system that uses generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, emergency contact information is notified as a top priority. In addition, generation AI is used to customize the content of notifications to emergency contacts and emphasize important information. For example, medical information or allergy information is notified first. In addition, a system is developed that uses generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, the user's current location information is notified as a top priority. In this way, by customizing the content of notifications to emergency contacts and emphasizing the information that is most important to the recipient, emergency responses will be quick and effective.

[0041] The notification unit can transmit not only location information but also surrounding environmental sounds and images at the same time when sending a notification. For example, a system is constructed in which the notification unit adds a function to simultaneously transmit not only location information but also surrounding environmental sounds and images when sending a notification. For example, current location information and surrounding environmental sounds are sent to an emergency contact. Also, a function is added to simultaneously transmit surrounding environmental sounds and images when sending a notification. For example, current location information and surrounding images are sent to an emergency contact. Also, a system is developed in which a function is added to transmit surrounding environmental sounds and images together with location information when sending a notification. For example, current location information and surrounding environmental sounds and images are sent to an emergency contact. In this way, by simultaneously transmitting not only location information but also surrounding environmental sounds and images, it is possible to more accurately convey the situation in an emergency.

[0042] The notification unit can simultaneously send notifications to emergency contacts via multiple communication methods (e.g., SMS, email, social media). The notification unit, for example, builds a system that simultaneously sends notifications to emergency contacts via multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS, email, and social media. Also, notifications are simultaneously sent to emergency contacts using multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS and email. Also, a system is developed that simultaneously sends notifications to emergency contacts via multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS, email, and social media. In this way, by simultaneously sending notifications via multiple communication methods, information can be reliably conveyed to emergency contacts.

[0043] The notification unit can track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a system is constructed in which the notification unit adds a function to track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. A function is also added to track whether the recipient has confirmed the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. A system is also developed in which the unit adds a function to track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. As a result, by re-notifying the recipient if the notification has not been confirmed, it is possible to reliably convey information to the emergency contact.

[0044] The notification unit can periodically update the user's location information and health status and notify family and partners. For example, a system is constructed in which the notification unit periodically updates the user's location information and health status and adds a function to notify family and partners. For example, the user's current location information is periodically notified to family members. A function is also added to periodically update the user's health status and notify family and partners. For example, the user's heart rate and blood pressure data are periodically notified to family members. A system is also developed in which a function is periodically updated the user's location information and health status and notify family and partners. For example, the user's activity history and health data are periodically notified to family members. This provides a sense of security by periodically updating the user's location information and health status and notifying family and partners.

[0045] The notification unit can provide a dedicated app that allows family members and partners to check the user's status, enabling two-way communication. The notification unit, for example, provides a dedicated app that allows family members and partners to check the user's status, and builds a system that enables two-way communication. For example, the app can be used to check the user's current location information and health status. The dedicated app can also be used to allow family members and partners to check the user's status, enabling two-way communication. For example, the user can send messages to family members through the app. The system can also provide a dedicated app that allows family members and partners to check the user's status, and develop a system that enables two-way communication. For example, the app can be used to check the user's location information and health data. This provides a dedicated app that allows family members and partners to check the user's status, enabling two-way communication and providing a sense of security.

[0046] The notification unit can suggest appropriate actions (for example, notifying an emergency contact) to family or partners depending on the user's situation. For example, a system is constructed in which the notification unit adds a function to suggest appropriate actions to family or partners depending on the user's situation. For example, if the user is in an emergency, it suggests notifying an emergency contact. In addition, the system analyzes the user's situation in real time and suggests appropriate actions to family or partners. For example, if the user's health condition worsens, it suggests contacting a medical institution. In addition, a system is developed in which a function is added to suggest appropriate actions to family or partners depending on the user's situation. For example, if the user updates their location information, it notifies family members. This makes it possible to provide a sense of security by suggesting appropriate actions to family or partners depending on the user's situation.

[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 QR code generation unit adds a function to automatically update registered information based on the user's behavioral history and location information, for example. For example, address information is automatically updated when the user moves to a new location. In addition, a system is constructed that analyzes the user's behavioral history and periodically updates registered information. For example, medical information is automatically updated when the user visits a new medical institution. In addition, a function to automatically update the user's registered information based on location information is added. For example, current location information is automatically updated while the user is traveling and emergency contacts are notified. This allows the latest information to be always provided by automatically updating registered information based on the user's behavioral history and location information.

[0049] The QR code display unit provides not only visual but also auditory information by including an audio message in the information converted into a QR code. For example, an audio message explaining the user's emergency contact information can be included. Also, by including a video message in the QR code, information can be provided both visually and auditorily. For example, a video message in which the user explains their medical information can be included in the QR code. Also, including an audio or video message in the QR code can help users understand the information. For example, a message in which the user explains their allergy information can be included in the QR code. This provides not only visual but also auditory information, helping users understand the information.

[0050] The QR code display unit creates a system that enables, for example, information registration and QR code generation in different languages. For example, information can be registered in multiple languages, such as English, French, and Chinese, and QR codes can be generated. In addition, a multilingual information registration function can be added to promote international use. For example, users can register emergency contact information in multiple languages. In addition, QR code generation can be made possible in different languages, promoting international use. For example, users can convert medical information into a QR code in the language of their travel destination. This allows information registration and QR code generation in different languages, promoting international use.

[0051] The QR code display unit can display a QR code with a specific gesture, in addition to double-clicking the power button, for example. For example, a QR code is displayed by shaking the smartphone. A system can also be built that allows a QR code to be displayed using a voice command. For example, a QR code can be displayed by issuing a voice command such as "display the emergency QR code." A QR code can also be displayed using a specific gesture or voice command. For example, a QR code is displayed by tilting the smartphone in a specific direction. This allows a QR code to be displayed with a specific gesture or voice command, making operations more flexible in emergencies.

[0052] The QR code display unit builds a system that enables customization of, for example, the operation of double-clicking the power button based on the user's individual behavioral patterns. For example, the QR code is displayed with a specific click pattern set by the user. The system also learns the user's behavioral patterns and provides an individually customized operation method. For example, the QR code is displayed when the user clicks the power button with a specific rhythm. The system also enables customization of the power button operation to suit the user's preferences. For example, the QR code is displayed with a specific number of clicks or timing set by the user. This makes it possible to provide a system that is easier to use by customizing the operation based on the user's individual behavioral patterns.

[0053] The QR code display unit builds a system that allows a QR code to be displayed by the same operation on a smartwatch or other wearable device. For example, a QR code can be displayed by double-clicking a button on a smartwatch. Also, the system allows a QR code to be displayed using a wearable device. For example, a QR code can be displayed by double-clicking a button on a fitness tracker. Also, the system allows a QR code to be displayed on a smartwatch or other wearable device. For example, a QR code can be displayed by double-tapping the touchpad of smart glasses. This allows a QR code to be displayed on a smartwatch or other wearable device, making operations more flexible in emergencies.

[0054] The processing flow of the first embodiment will be briefly explained below.

[0055] Step 1: The application registration unit allows the user to register necessary information, such as emergency contact information, medical information, and address. Step 2: The QR code generator converts the registered information into a QR code. For example, if a user registers their emergency contact information or allergy information, it will be generated as a QR code. Step 3: The QR code display unit displays the QR code by double-clicking the smartphone's power button. For example, if the user is unconscious due to an accident or sudden illness, someone nearby can easily display the QR code. Step 4: The notification unit sends a notification to the emergency contact when the QR code is read, for example, a notification that the QR code has been read and the user's current location.

[0056] (Example 2) The emergency information provision system according to an embodiment of the present invention uses an application called "Rowan" to convert information needed in an emergency into a QR code. By double-clicking the power button on a smartphone, an outsider can read the QR code and instantly obtain the necessary information without the need for a PIN or facial recognition. This allows the emergency information provision system to quickly and accurately provide the user with the information they need in an emergency. Furthermore, the system has a function that sends a notification to emergency contacts as soon as the QR code is read, providing peace of mind not only to the user but also to their family and partner.

[0057] An emergency information provision system according to an embodiment includes an application registration unit, a QR code generation unit, a QR code display unit, and a notification unit. The application registration unit allows a user to register necessary information. For example, emergency contact information, medical information, and address can be registered. The QR code generation unit converts the registered information into a QR code. For example, when a user registers their emergency contact information or allergy information, the information is generated as a QR code. The QR code display unit displays a QR code by double-clicking the smartphone's power button. For example, even if the user is unconscious due to an accident or sudden illness, nearby people can easily display the QR code. The notification unit sends a notification to the emergency contact when the QR code is read. For example, the notification includes information such as that the QR code has been read and the user's current location. This allows the emergency information provision system to quickly and accurately provide the user with necessary information in an emergency. For example, emergency personnel can immediately check the user's emergency contact information and medical information by reading the QR code. This also allows family members and partners to quickly understand the user's situation.

[0058] The QR code generation unit can use generation AI to perform sentiment analysis on the registered information and prioritize converting emotionally important information into a QR code. The QR code generation unit, for example, uses generation AI to perform sentiment analysis on the registered information and prioritize converting emotionally important information into a QR code. For example, information that the user feels is particularly important, such as emergency contact information or medical information, is prioritized to be included in the QR code. In addition, sentiment analysis is used to extract emotionally important information from the information registered by the user and convert it into a QR code. For example, information that the user feels strongly about (such as family contact information) is prioritized to be included in the QR code. In addition, generation AI is used to evaluate the emotional importance of the registered information and convert the most important information into a QR code. For example, information that the user has a strong emotional connection to is prioritized to be included in the QR code. In this way, by prioritizing emotionally important information to be converted into a QR code, necessary information can be provided quickly in an emergency.

[0059] The QR code generation unit can periodically update registered information based on the user's behavioral history and location information. The QR code generation unit adds a function to automatically update registered information based on the user's behavioral history and location information, for example. For example, address information is automatically updated when the user moves to a new location. In addition, a system is constructed that analyzes the user's behavioral history and periodically updates registered information. For example, medical information is automatically updated when the user visits a new medical institution. In addition, a function to automatically update the user's registered information based on location information is added. For example, current location information is automatically updated while the user is traveling and emergency contacts are notified. In this way, by automatically updating registered information based on the user's behavioral history and location information, the latest information can always be provided.

[0060] The QR code generation unit can use the emotion estimation function to generate a customized QR code that reflects the user's emotional state. The QR code generation unit, for example, uses the emotion estimation function to generate a customized QR code that reflects the user's emotional state. For example, if the user is feeling stressed, emergency contact information is emphasized. The QR code generation unit also analyzes the user's emotional state in real time and generates a customized QR code based on the results. For example, information that gives the user a sense of security is prioritized in the QR code. The emotion estimation function is also used to build a system that generates a QR code according to the user's emotional state. For example, if the user is feeling anxious, a QR code that emphasizes medical information is generated. In this way, by generating a customized QR code that reflects the user's emotional state, appropriate information can be provided in an emergency.

[0061] The QR code display unit can provide not only visual but also auditory information by including an audio message or video message in the information converted into a QR code. The QR code display unit can provide not only visual but also auditory information by, for example, including an audio message in the information converted into a QR code. For example, a message explaining the user's emergency contact information by audio may be included. Also, by including a video message in the QR code, information can be provided both visually and auditorily. For example, a video message in which the user explains their medical information may be included in the QR code. Also, including an audio or video message in the QR code can help the user understand the information. For example, a message in which the user explains their allergy information by audio may be included in the QR code. This provides not only visual but also auditory information, helping the user understand the information.

[0062] The QR code display unit allows information registration and QR code generation in different languages, promoting international use. The QR code display unit, for example, builds a system that allows information registration and QR code generation in different languages. For example, information can be registered in multiple languages, such as English, French, and Chinese, and QR codes can be generated. In addition, a multilingual information registration function can be added to promote international use. For example, it allows users to register emergency contact information in multiple languages. It also allows QR code generation in different languages, promoting international use. For example, it allows users to convert medical information into a QR code in the language of their travel destination. This allows information registration and QR code generation in different languages, promoting international use.

[0063] The QR code display unit can use the emotion estimation function to analyze the user's emotions in real time when the registration information is being entered and make suggestions that will elicit positive emotions. The QR code display unit, for example, uses the emotion estimation function to analyze the user's emotions in real time when the registration information is being entered and make suggestions that will elicit positive emotions. For example, if the user is feeling anxious, a message that gives a sense of security is displayed. A system is also constructed that analyzes the user's emotional state in real time and makes suggestions to elicit positive emotions. For example, if the user is feeling stressed, advice on how to relax is provided. The emotion estimation function is also used to analyze the user's emotions in real time and provide an interface for eliciting positive emotions. For example, an encouraging message is displayed while the user is entering information. In this way, the user's emotions are analyzed in real time and suggestions that will elicit positive emotions are made, thereby increasing the user's sense of security.

[0064] The QR code display unit can display a QR code not only by double-clicking the power button, but also by a specific gesture or voice command. The QR code display unit can display a QR code not only by double-clicking the power button, but also by a specific gesture. For example, a QR code is displayed by shaking the smartphone. A system is also constructed that allows a QR code to be displayed using a voice command. For example, a QR code is displayed by issuing a voice command such as "Display the emergency QR code." A QR code can also be displayed using a specific gesture or voice command. For example, a QR code is displayed by tilting the smartphone in a specific direction. This allows a QR code to be displayed using a specific gesture or voice command, making operations in an emergency more flexible.

[0065] The QR code display unit can make it possible to customize the operation of double-clicking the power button based on the user's individual motion pattern. The QR code display unit builds a system that makes it possible to customize, for example, the operation of double-clicking the power button based on the user's individual motion pattern. For example, the QR code is displayed with a specific click pattern set by the user. Furthermore, the system learns the user's motion pattern and provides an individually customized operation method. For example, the QR code is displayed when the user clicks the power button with a specific rhythm. Furthermore, the system makes it possible to customize the operation of the power button to suit the user's preferences. For example, the QR code is displayed with a specific number of clicks or timing set by the user. This makes it possible to provide a system that is easier to use by customizing the operation based on the user's individual motion pattern.

[0066] The QR code display unit can use the emotion estimation function to provide an interface for reducing stress and anxiety felt by the user in an emergency. The QR code display unit, for example, uses the emotion estimation function to provide an interface for reducing stress and anxiety felt by the user in an emergency. For example, guidance for relaxation in an emergency is displayed. Furthermore, a system is constructed that analyzes the user's emotional state in real time and provides an interface for reducing stress and anxiety. For example, a message that gives a sense of security in an emergency is displayed. Furthermore, the emotion estimation function is used to provide an interface for reducing stress and anxiety felt by the user in an emergency. For example, music for relaxation in an emergency is played. In this way, an interface for reducing stress and anxiety felt by the user in an emergency is provided, thereby increasing the user's sense of security.

[0067] The QR code display unit can also display a QR code with a similar operation on a smartwatch or other wearable device. The QR code display unit builds a system that enables a QR code to be displayed with a similar operation on a smartwatch or other wearable device, for example. For example, a QR code is displayed by double-clicking a button on a smartwatch. Also, the QR code can be displayed using a wearable device. For example, a QR code is displayed by double-clicking a button on a fitness tracker. Also, the QR code can be displayed on a smartwatch or other wearable device. For example, a QR code is displayed by double-tapping a touchpad on smart glasses. This allows QR codes to be displayed on smartwatches and other wearable devices, making operations more flexible in emergencies.

[0068] The QR code display unit can link the operation of double-clicking the power button with other emergency functions (for example, making an emergency call or sending location information). The QR code display unit, for example, builds a system that links the operation of double-clicking the power button with an emergency call function. For example, an emergency call is made at the same time as displaying a QR code. The operation of double-clicking the power button is also linked with a function for sending location information. For example, current location information is sent to an emergency contact at the same time as displaying a QR code. The operation of double-clicking the power button is also linked with other emergency functions. For example, an automatic call is made to an emergency contact at the same time as displaying a QR code. In this way, by linking the operation of double-clicking the power button with other emergency functions, emergency responses become quicker and more effective.

[0069] The QR code display unit can use the emotion estimation function to analyze the emotional state of the user when performing an operation and suggest the optimal operation method. The QR code display unit, for example, uses the emotion estimation function to build a system that analyzes the emotional state of the user when performing an operation and suggests the optimal operation method. For example, if the user is nervous, a simple operation method is suggested. In addition, the user's emotional state is analyzed in real time and the optimal operation method is suggested. For example, if the user is feeling stressed, a suggestion is made to simplify the operation. In addition, a system is developed that uses the emotion estimation function to suggest an operation method according to the user's emotional state. For example, if the user is feeling anxious, a message guiding the operation is displayed. In this way, by analyzing the user's emotional state and suggesting the optimal operation method, operation in an emergency becomes smoother.

[0070] The QR code display unit can not only acquire information but also automatically execute related actions (for example, automatically call an emergency contact) when a QR code is read. For example, a system is constructed in which the QR code display unit not only acquires information but also automatically calls an emergency contact when a QR code is read. For example, an emergency contact is automatically called upon reading the QR code. A system is also developed in which related actions are automatically executed upon reading a QR code. For example, current location information is sent to an emergency contact upon reading the QR code. Furthermore, related actions are automatically executed upon acquiring information upon reading a QR code. For example, an SMS is sent to an emergency contact upon reading the QR code. In this way, by automatically executing related actions upon reading a QR code, emergency responses become quick and effective.

[0071] The QR code display unit can use the emotion estimation function to analyze the emotional state of the person who reads the QR code and suggest an appropriate response. For example, the QR code display unit uses the emotion estimation function to build a system that analyzes the emotional state of the person who reads the QR code and suggests an appropriate response. For example, if the person who reads the QR code is nervous, it displays guidance to help them calm down. In addition, the emotional state of the person who reads the QR code is analyzed in real time and an appropriate response is suggested. For example, if the person who reads the QR code is feeling anxious, it displays a message that gives a sense of security. In addition, a system is developed that uses the emotion estimation function to analyze the emotional state of the person who reads the QR code and suggests an appropriate response. For example, if the person who reads the QR code is feeling stressed, it plays relaxing music. In this way, by analyzing the emotional state of the person who reads the QR code and suggesting an appropriate response, emergency responses become more effective.

[0072] The QR code display unit can combine AR (Augmented Reality) technology with QR code reading to visually highlight information. For example, the QR code display unit will build a system that combines AR technology with QR code reading to visually highlight information. For example, when a QR code is read, emergency contact information is highlighted using AR. AR technology will also be used to visually highlight information read from the QR code. For example, medical information or allergy information will be displayed using AR. A system will also be developed that combines AR technology with QR code reading to visually highlight information. For example, the user's current location information will be displayed using AR. In this way, by combining AR technology, information can be visually highlighted, helping to understand the information.

[0073] The QR code display unit can provide information by voice through a voice assistant when the QR code is read. The QR code display unit builds a system that provides information by voice through a voice assistant when a QR code is read. For example, emergency contact information is explained by voice. Information read from the QR code is also provided by voice using a voice assistant. For example, medical information or allergy information is explained by voice. A system is also developed that provides information by voice through a voice assistant when a QR code is read. For example, the user's current location information is explained by voice. By providing information by voice through a voice assistant, information can be provided not only visually but also aurally.

[0074] The QR code display unit can use an emotion estimation function to monitor the emotional response of the person reading the QR code in real time and adjust the optimal method of providing information. For example, a system is constructed in which the QR code display unit uses the emotion estimation function to monitor the emotional response of the person reading the QR code in real time and adjust the optimal method of providing information. For example, if the reader is feeling anxious, a message that gives a sense of security is displayed. The emotional response of the person reading the QR code is also analyzed in real time and the optimal method of providing information is adjusted. For example, if the reader is feeling nervous, guidance to help them relax is displayed. A system is also developed that uses the emotion estimation function to monitor the emotional response of the person reading the QR code in real time and adjust the optimal method of providing information. For example, if the reader is feeling stressed, music to help them relax is played. In this way, the emotional response of the person reading the QR code is monitored in real time and the optimal method of providing information is adjusted to help them understand the information.

[0075] The notification unit can use generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, the notification unit builds a system that uses generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, emergency contact information is notified as a top priority. In addition, generation AI is used to customize the content of notifications to emergency contacts and emphasize important information. For example, medical information or allergy information is notified first. In addition, a system is developed that uses generation AI to customize the content of notifications to emergency contacts and emphasize the information that is most important to the recipient. For example, the user's current location information is notified as a top priority. In this way, by customizing the content of notifications to emergency contacts and emphasizing the information that is most important to the recipient, emergency responses will be quick and effective.

[0076] The notification unit can transmit not only location information but also surrounding environmental sounds and images at the same time when sending a notification. For example, a system is constructed in which the notification unit adds a function to simultaneously transmit not only location information but also surrounding environmental sounds and images when sending a notification. For example, current location information and surrounding environmental sounds are sent to an emergency contact. Also, a function is added to simultaneously transmit surrounding environmental sounds and images when sending a notification. For example, current location information and surrounding images are sent to an emergency contact. Also, a system is developed in which a function is added to transmit surrounding environmental sounds and images together with location information when sending a notification. For example, current location information and surrounding environmental sounds and images are sent to an emergency contact. In this way, by simultaneously transmitting not only location information but also surrounding environmental sounds and images, it is possible to more accurately convey the situation in an emergency.

[0077] The notification unit can use the emotion estimation function to analyze the emotional state of the emergency contact who received the notification and suggest an appropriate follow-up action. For example, the notification unit uses the emotion estimation function to build a system that analyzes the emotional state of the emergency contact who received the notification and suggests an appropriate follow-up action. For example, if the recipient is feeling anxious, a message that gives a sense of security is displayed. The notification unit also analyzes the emotional state of the emergency contact who received the notification in real time and suggests an appropriate follow-up action. For example, if the recipient is feeling nervous, guidance to help them relax is displayed. The notification unit also develops a system that uses the emotion estimation function to analyze the emotional state of the emergency contact who received the notification and suggests an appropriate follow-up action. For example, if the recipient is feeling stressed, music to help them relax is played. In this way, by analyzing the emotional state of the emergency contact who received the notification and suggesting an appropriate follow-up action, emergency responses become more effective.

[0078] The notification unit can simultaneously send notifications to emergency contacts via multiple communication methods (e.g., SMS, email, social media). The notification unit, for example, builds a system that simultaneously sends notifications to emergency contacts via multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS, email, and social media. Also, notifications are simultaneously sent to emergency contacts using multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS and email. Also, a system is developed that simultaneously sends notifications to emergency contacts via multiple communication methods. For example, notifications are simultaneously sent to emergency contacts via SMS, email, and social media. In this way, by simultaneously sending notifications via multiple communication methods, information can be reliably conveyed to emergency contacts.

[0079] The notification unit can track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a system is constructed in which the notification unit adds a function to track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. A function is also added to track whether the recipient has confirmed the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. A system is also developed in which the unit adds a function to track whether the recipient has confirmed the notification when sending the notification, and re-notify the recipient if the notification has not been confirmed. For example, a notification is sent again if the emergency contact has not confirmed the notification. As a result, by re-notifying the recipient if the notification has not been confirmed, it is possible to reliably convey information to the emergency contact.

[0080] The notification unit can use the emotion estimation function to monitor the emotional reactions of emergency contacts who receive the notification in real time and adjust the optimal follow-up method. For example, the notification unit uses the emotion estimation function to build a system that monitors the emotional reactions of emergency contacts who receive the notification in real time and adjusts the optimal follow-up method. For example, if the recipient is feeling anxious, a message that gives a sense of security is displayed. The notification unit also analyzes the emotional reactions of emergency contacts who receive the notification in real time and adjusts the optimal follow-up method. For example, if the recipient is feeling nervous, guidance to help them relax is displayed. The notification unit also develops a system that uses the emotion estimation function to monitor the emotional reactions of emergency contacts who receive the notification in real time and adjusts the optimal follow-up method. For example, if the recipient is feeling stressed, music to help them relax is played. In this way, the notification unit can monitor the emotional reactions of emergency contacts who receive the notification in real time and adjust the optimal follow-up method, making emergency responses more effective.

[0081] The notification unit can periodically update the user's location information and health status and notify family and partners. For example, a system is constructed in which the notification unit periodically updates the user's location information and health status and adds a function to notify family and partners. For example, the user's current location information is periodically notified to family members. A function is also added to periodically update the user's health status and notify family and partners. For example, the user's heart rate and blood pressure data are periodically notified to family members. A system is also developed in which a function is periodically updated the user's location information and health status and notify family and partners. For example, the user's activity history and health data are periodically notified to family members. This provides a sense of security by periodically updating the user's location information and health status and notifying family and partners.

[0082] The notification unit can use the emotion estimation function to analyze the emotional state of family members or partners and provide information to enhance a sense of security. The notification unit, for example, uses the emotion estimation function to build a system that analyzes the emotional state of family members or partners and provides information to enhance a sense of security. For example, if a family member is feeling anxious, a message that gives a sense of security is displayed. The emotional state of family members or partners is also analyzed in real time and information to enhance a sense of security is provided. For example, if a family member is feeling tense, guidance to relax is displayed. A system is also developed that uses the emotion estimation function to analyze the emotional state of family members or partners and provide information to enhance a sense of security. For example, if a family member is feeling stressed, music to relax is played. In this way, a sense of security can be provided by analyzing the emotional state of family members or partners and providing information to enhance a sense of security.

[0083] The notification unit can provide a dedicated app that allows family members and partners to check the user's status, enabling two-way communication. The notification unit, for example, provides a dedicated app that allows family members and partners to check the user's status, and builds a system that enables two-way communication. For example, the app can be used to check the user's current location information and health status. The dedicated app can also be used to allow family members and partners to check the user's status, enabling two-way communication. For example, the user can send messages to family members through the app. The system can also provide a dedicated app that allows family members and partners to check the user's status, and develop a system that enables two-way communication. For example, the app can be used to check the user's location information and health data. This provides a dedicated app that allows family members and partners to check the user's status, enabling two-way communication and providing a sense of security.

[0084] The notification unit can suggest appropriate actions (for example, notifying an emergency contact) to family or partners depending on the user's situation. For example, a system is constructed in which the notification unit adds a function to suggest appropriate actions to family or partners depending on the user's situation. For example, if the user is in an emergency, it suggests notifying an emergency contact. In addition, the system analyzes the user's situation in real time and suggests appropriate actions to family or partners. For example, if the user's health condition worsens, it suggests contacting a medical institution. In addition, a system is developed in which a function is added to suggest appropriate actions to family or partners depending on the user's situation. For example, if the user updates their location information, it notifies family members. This makes it possible to provide a sense of security by suggesting appropriate actions to family or partners depending on the user's situation.

[0085] The notification unit can use the emotion estimation function to monitor the emotional reactions of family members or partners in real time and adjust the optimal method of providing information. The notification unit, for example, uses the emotion estimation function to build a system that monitors the emotional reactions of family members or partners in real time and adjusts the optimal method of providing information. For example, if a family member is feeling anxious, a message that gives a sense of security is displayed. The emotional reactions of family members or partners are also analyzed in real time and the optimal method of providing information is adjusted. For example, if a family member is feeling tense, guidance to help them relax is displayed. A system is also developed that uses the emotion estimation function to monitor the emotional reactions of family members or partners in real time and adjusts the optimal method of providing information. For example, if a family member is feeling stressed, music to help them relax is played. In this way, the emotional reactions of family members or partners can be monitored in real time and the optimal method of providing information can be adjusted to provide a sense of security.

[0086] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0087] The QR code generation unit adds a function to automatically update registered information based on the user's behavioral history and location information, for example. For example, address information is automatically updated when the user moves to a new location. In addition, a system is constructed that analyzes the user's behavioral history and periodically updates registered information. For example, medical information is automatically updated when the user visits a new medical institution. In addition, a function to automatically update the user's registered information based on location information is added. For example, current location information is automatically updated while the user is traveling and emergency contacts are notified. This allows the latest information to be always provided by automatically updating registered information based on the user's behavioral history and location information.

[0088] The QR code generation unit uses, for example, an emotion estimation function to generate a customized QR code that reflects the user's emotional state. For example, if the user is feeling stressed, emergency contact information is emphasized. The QR code generation unit also analyzes the user's emotional state in real time and generates a customized QR code based on the results. For example, information that gives the user a sense of security is prioritized in the QR code. The emotion estimation function is also used to build a system that generates QR codes according to the user's emotional state. For example, if the user is feeling anxious, a QR code that emphasizes medical information is generated. In this way, by generating a customized QR code that reflects the user's emotional state, appropriate information can be provided in an emergency.

[0089] The QR code display unit provides not only visual but also auditory information by including an audio message in the information converted into a QR code. For example, an audio message explaining the user's emergency contact information can be included. Also, by including a video message in the QR code, information can be provided both visually and auditorily. For example, a video message in which the user explains their medical information can be included in the QR code. Also, including an audio or video message in the QR code can help users understand the information. For example, a message in which the user explains their allergy information can be included in the QR code. This provides not only visual but also auditory information, helping users understand the information.

[0090] The QR code display unit creates a system that enables, for example, information registration and QR code generation in different languages. For example, information can be registered in multiple languages, such as English, French, and Chinese, and QR codes can be generated. In addition, a multilingual information registration function can be added to promote international use. For example, users can register emergency contact information in multiple languages. In addition, QR code generation can be made possible in different languages, promoting international use. For example, users can convert medical information into a QR code in the language of their travel destination. This allows information registration and QR code generation in different languages, promoting international use.

[0091] The QR code display unit, for example, uses an emotion estimation function to analyze the user's emotions in real time when entering registration information and makes suggestions to elicit positive emotions. For example, if the user is feeling anxious, a message that gives a sense of security is displayed. A system is also constructed that analyzes the user's emotional state in real time and makes suggestions to elicit positive emotions. For example, if the user is feeling stressed, advice on how to relax is provided. The emotion estimation function is also used to analyze the user's emotions in real time and provide an interface for eliciting positive emotions. For example, an encouraging message is displayed while the user is entering information. In this way, the user's emotions are analyzed in real time and suggestions to elicit positive emotions are made, thereby increasing the user's sense of security.

[0092] The QR code display unit can display a QR code with a specific gesture, in addition to double-clicking the power button, for example. For example, a QR code is displayed by shaking the smartphone. A system can also be built that allows a QR code to be displayed using a voice command. For example, a QR code can be displayed by issuing a voice command such as "display the emergency QR code." A QR code can also be displayed using a specific gesture or voice command. For example, a QR code is displayed by tilting the smartphone in a specific direction. This allows a QR code to be displayed with a specific gesture or voice command, making operations more flexible in emergencies.

[0093] The QR code display unit builds a system that enables customization of, for example, the operation of double-clicking the power button based on the user's individual behavioral patterns. For example, the QR code is displayed with a specific click pattern set by the user. The system also learns the user's behavioral patterns and provides an individually customized operation method. For example, the QR code is displayed when the user clicks the power button with a specific rhythm. The system also enables customization of the power button operation to suit the user's preferences. For example, the QR code is displayed with a specific number of clicks or timing set by the user. This makes it possible to provide a system that is easier to use by customizing the operation based on the user's individual behavioral patterns.

[0094] The QR code display unit uses, for example, an emotion estimation function to provide an interface for reducing stress and anxiety felt by the user in an emergency. For example, guidance for relaxation is displayed in an emergency. A system is also constructed that analyzes the user's emotional state in real time and provides an interface for reducing stress and anxiety. For example, a message that gives a sense of security in an emergency is displayed. The emotion estimation function is also used to provide an interface for reducing stress and anxiety felt by the user in an emergency. For example, music for relaxation is played in an emergency. In this way, an interface for reducing stress and anxiety felt by the user in an emergency is provided, thereby increasing the user's sense of security.

[0095] The QR code display unit builds a system that allows a QR code to be displayed by the same operation on a smartwatch or other wearable device. For example, a QR code can be displayed by double-clicking a button on a smartwatch. Also, the system allows a QR code to be displayed using a wearable device. For example, a QR code can be displayed by double-clicking a button on a fitness tracker. Also, the system allows a QR code to be displayed on a smartwatch or other wearable device. For example, a QR code can be displayed by double-tapping the touchpad of smart glasses. This allows a QR code to be displayed on a smartwatch or other wearable device, making operations more flexible in emergencies.

[0096] The QR code display unit will use, for example, an emotion estimation function to analyze the emotional state of the person who reads the QR code and build a system that suggests an appropriate response. For example, if the person who reads the QR code is nervous, it will display guidance to help them calm down. It will also analyze the emotional state of the person who read the QR code in real time and suggest an appropriate response. For example, if the person who reads the QR code is feeling anxious, it will display a message that gives them a sense of security. It will also develop a system that uses the emotion estimation function to analyze the emotional state of the person who reads the QR code and suggest an appropriate response. For example, if the person who reads the QR code is feeling stressed, it will play relaxing music. This will allow the emotional state of the person who reads the QR code to be analyzed and an appropriate response to be suggested, making emergency responses more effective.

[0097] The processing flow of the second embodiment will be briefly explained below.

[0098] Step 1: The application registration unit allows the user to register necessary information, such as emergency contact information, medical information, and address. Step 2: The QR code generator converts the registered information into a QR code. For example, if a user registers their emergency contact information or allergy information, it will be generated as a QR code. Step 3: The QR code display unit displays the QR code by double-clicking the smartphone's power button. For example, if the user is unconscious due to an accident or sudden illness, someone nearby can easily display the QR code. Step 4: The notification unit sends a notification to the emergency contact when the QR code is read, for example, a notification that the QR code has been read and the user's current location.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0103] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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).

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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).

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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).

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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).

[0152] 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.

[0153] 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."

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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]

[0166] 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. an application registration unit; a QR code generator; A QR code display unit; A notification unit is provided. A system characterized by:

2. The QR code generation unit Generative AI is used to perform sentiment analysis on registered information, and emotionally important information is prioritized for conversion into a QR code.

2. The system of claim 1.

3. The QR code generation unit Regularly update registration information based on user behavior history and location information 2. The system of claim 1.

4. The QR code generation unit Generate customized QR codes that reflect the user's emotional state 2. The system of claim 1.

5. The QR code display unit By including audio and video messages in the information converted into the QR code, audio information can be provided in addition to visual information.

2. The system of claim 1.

Citation Information

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