System

Abstract

To provide a system for performing business in a state that high security is secured even in a remote place.SOLUTION: The system includes means for capturing biometric data input by a headset worn by a user, means for transmitting the biometric data to a server and performing authentication, means for displaying a computer screen through the headset when the authentication is successful, and means for monitoring a wearing state of the headset and stopping display of the computer screen when the wearing is released.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Currently, work that handles personal information and other data is required to be performed in a high-security area. However, if a situation arises where access to the physical work area becomes difficult due to a new coronavirus pandemic or other reasons, work that requires a high-security environment cannot be performed remotely, resulting in a halt to operations. Furthermore, the risk of information leaks increases when performing work remotely, making it impossible to address this issue in a typical telework environment. To solve these issues, a new method is needed to perform work remotely while ensuring high security. [Means for solving the problem]

[0005] This invention provides a means for capturing biometric data entered through a headset worn by the user and a means for transmitting this biometric data to a server for authentication. A system is constructed that includes a means for displaying a computer screen only through the headset if authentication is successful, and a means for monitoring the headset's wearing status and stopping the computer screen display when the headset is removed. Using iris data as biometric data enables highly accurate identity verification, and the security of information is ensured by transmitting the computer screen as encrypted data. In this way, tasks requiring high security can be performed even in remote environments.

[0006] A "headset" is a device worn on a user's head to provide visual and audio information.

[0007] "Biometric data" refers to information obtained from the user's body, and specifically refers to feature amounts such as iris data.

[0008] A "server" is a computer system that processes and stores data over a network.

[0009] "Authentication" is the process of verifying a user's identity based on provided biometric data.

[0010] "Computer screen" refers to the display information of a computer's user interface that is displayed on a headset.

[0011] "Encryption" is a technology that converts data using a specific algorithm to make it invisible to third parties.

[0012] "Wearing status monitoring" is a function for checking whether the headset is being worn correctly by the user.

[0013] "Stopping the display" refers to hiding the computer screen that is being displayed on the headset display. [Brief explanation of the drawings]

[0014] [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. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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, a 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), and an APU (Accelerated Processing Unit).

[0018] 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.

[0019] 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.

[0020] 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), Bluetooth (registered trademark), etc.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0026] 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.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] System Overview

[0036] This invention is a system that enables users to work remotely while maintaining high security using a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset wearing status.

[0037] composition

[0038] Headset: A device worn by the user that provides visual and auditory information.

[0039] Iris camera: Built into the headset, it captures the user's iris data.

[0040] Security server: A computer system that analyzes biometric data and performs authentication.

[0041] Terminal: The computer that receives and sends data via the headset and security server.

[0042] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0043] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0044] Specific Embodiments

[0045] 1. Turn on the headset

[0046] The user puts on the headset and turns it on. The device automatically connects to the security server.

[0047] 2. Iris Recognition

[0048] The headset captures the user's iris, and the device sends this data to a security server. The server analyzes the iris data and compares it with a registered database. If authentication is successful, the server notifies the device of the result.

[0049] 3. Start of screen display

[0050] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0051] 4. Monitoring of wearing status

[0052] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[0053] Specific examples

[0054] Scenario: "Remote handling of highly sensitive data"

[0055] 1. Start and connect

[0056] For example, if a worker handles highly confidential data, when the worker puts on the headset and turns it on, the device automatically connects to a security server.

[0057] 2. Authentication Process

[0058] The headset's iris camera captures the officer's iris data and sends it via the device to a security server, which analyzes the data and verifies the identity of the authorized user.

[0059] 3. Business Continuity

[0060] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[0061] 4. Monitoring and disconnecting the device

[0062] During work, the device constantly monitors whether the headset is being worn, and if the employee removes the headset, the device immediately stops displaying the screen, preventing the risk of information leaks.

[0063] As described above, the present invention is a specific system for realizing safe business operations in a remote environment while maintaining high security.

[0064] The processing flow will be explained below.

[0065] Step 1:

[0066] The user puts on the headset.

[0067] The user puts the headset on their head and turns it on.

[0068] Step 2:

[0069] The terminal establishes a connection to the security server.

[0070] The terminal automatically sends a connection request to the security server over the network.

[0071] Step 3:

[0072] The terminal displays an iris authentication prompt to the user.

[0073] Iris authentication instructions will appear on the headset's built-in display.

[0074] Step 4:

[0075] The terminal activates the iris camera and captures the user's iris data.

[0076] The headset's iris camera activates and captures the user's iris data in high resolution.

[0077] Step 5:

[0078] The device transmits the captured iris data to a security server.

[0079] The device encrypts the captured iris data and sends it to a security server.

[0080] Step 6:

[0081] The server analyzes the received iris data and performs authentication.

[0082] The server receives the iris data and compares it with a registered database to authenticate the user.

[0083] Step 7:

[0084] The server sends the authentication result to the terminal.

[0085] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[0086] Step 8:

[0087] The terminal notifies the user of the authentication result.

[0088] A message indicating authentication success or failure will appear on the headset display.

[0089] Step 9:

[0090] If authentication is successful, the device requests the PC's screen data from the server.

[0091] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[0092] Step 10:

[0093] The server sends the encrypted screen data to the terminal.

[0094] The server encrypts the PC screen data in real time and sends it to the terminal.

[0095] Step 11:

[0096] The device displays the encrypted screen data on the headset.

[0097] The device decodes the received data and displays it in real time on the headset display.

[0098] Step 12:

[0099] The device monitors whether the headset is being worn.

[0100] Sensors constantly monitor whether the headset is being worn correctly.

[0101] Step 13:

[0102] If the device is removed from the device, it will immediately stop displaying the PC screen.

[0103] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[0104] Example 1

[0105] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0106] When handling highly confidential information in a remote environment, there are challenges in verifying user identity and ensuring data security. Specifically, when users work remotely, it is necessary to prevent unauthorized access by third parties, monitor whether users are wearing headsets correctly, and prevent the leakage of confidential information. Data encryption is also required, and a system that allows users to view and manipulate data safely and securely is required.

[0107] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0108] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server via a terminal for authentication, means for encrypting and displaying a computer screen on the headset via the terminal if the authentication is successful, and means for constantly monitoring the wearing status of the headset and immediately stopping the display of the computer screen if the headset is removed. This makes it possible to safely handle data while maintaining high security even in a remote environment.

[0109] "Biometric data" refers to data based on the user's biometric information, and particularly includes iris data.

[0110] A "terminal" is a computing device that sends and receives data between the headset and the server.

[0111] A "server" is a computer system that analyzes biometric data and performs authentication.

[0112] A "headset" is a device worn by a user that provides visual and audio information.

[0113] "Iris data" is biometric data that captures information from the user's iris.

[0114] "Encryption" is a technology that converts data into a form that is invisible to third parties and is used to ensure data security.

[0115] "Wearing status monitoring" is the process of monitoring whether the headset is being worn correctly by the user.

[0116] "Authentication" is the process of verifying a user by analyzing the user's biometric data and comparing it with registered data.

[0117] "Computer screen" means the display screen of a PC or other computing device.

[0118] "Unplugged" refers to the state when the headset is removed from the user's head.

[0119] System Overview

[0120] This invention is a system that uses a headset worn by the user to perform work in a remote environment while maintaining high security. Specific functions include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[0121] composition

[0122] Headset: A device worn by a user that provides visual and auditory information.

[0123] Iris camera: Built into the headset, it captures the user's iris data.

[0124] Security server: A computer system that analyzes biometric data and performs authentication.

[0125] Device: The computer that sends and receives data between the headset and the security server.

[0126] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0127] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0128] Specific operation procedures and processing overview

[0129] 1. Turn on and connect the headset

[0130] The user puts on the headset and turns it on. After the device starts up, it automatically connects to the security server. Specifically, once a network connection is established, the device sends a login request to the security server using the server's IP address and authentication information.

[0131] 2. Capturing and transmitting iris data

[0132] The user fixates their gaze on the headset's iris camera, which captures the user's iris data at a high frame rate, and the device encrypts this data before sending it to a security server.

[0133] 3. Performing Iris Recognition

[0134] The server analyzes the received iris data using an iris analysis algorithm, and compares the data with a database. If authentication is successful, the result is notified to the device.

[0135] 4. Start secure screen display

[0136] If the terminal receives the authentication status and the authentication is successful, the PC screen data is encrypted in real time and sent to the headset, allowing the user to view the PC screen through the headset display.

[0137] 5. Monitoring of wearing status

[0138] The device uses a sensor to constantly monitor whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop. Re-authentication will be performed when the headset is put back on.

[0139] Specific examples

[0140] Scenario: "Remote handling of highly sensitive data"

[0141] 1. Start and connect

[0142] When a person handling highly confidential data puts on the headset and turns it on, the device automatically connects to the security server, completing the automatic connection within a few seconds.

[0143] 2. Authentication Process

[0144] The device captures the iris data of the person in charge using the headset's iris camera and sends it to the server, which analyzes the data and notifies the authentication result within a few seconds.

[0145] 3. Business Continuity

[0146] After successful authentication, the device encrypts the PC screen and transmits it to the headset, allowing the employee to safely view the client's personal information through the headset while continuing their work.

[0147] 4. Monitoring and disconnecting the device

[0148] The device constantly monitors whether the headset is being worn, and if the person in charge removes the headset, the display on the PC screen immediately stops. When the headset is put back on, the authentication process is repeated.

[0149] Example prompts for generative AI models

[0150] You can generate a system description using the following prompt:

[0151] Example prompt:

[0152] "Please explain the features of a highly secure system that utilizes a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status."

[0153] This prompt sentence makes it possible to briefly explain the functional overview and operating procedures of the generated system in natural language.

[0154] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0155] Step 1:

[0156] Headset startup and initial connection

[0157] The user puts on the headset and turns it on. The headset is powered on and the internal system starts up. The device then automatically attempts to connect to the security server via the headset's communications module. Specifically, it establishes a network connection and sends a login request to the security server using the server's IP address and authentication information.

[0158] Input: Headset activation, user operation

[0159] Output: Connection request to security server

[0160] Step 2:

[0161] Iris data capture and transmission

[0162] The user puts on the headset and fixes their gaze. The iris camera captures the user's iris data. Specifically, the camera rapidly captures several iris images and converts them into digital data. The device then encrypts the captured iris data and sends it to a security server.

[0163] Input: User's iris data

[0164] Output: Encrypted iris data to the server

[0165] Step 3:

[0166] Performing iris recognition

[0167] The server analyzes the received iris data. Specifically, it uses an iris analysis algorithm to compare the received data with the user's iris data registered in a database. The server determines whether the authentication was successful or failed as a result of the analysis and notifies the terminal of the result.

[0168] Input: Encrypted iris data

[0169] Output: Authentication result (success or failure)

[0170] Step 4:

[0171] Start Secure Screen View

[0172] The device receives the authentication result, and if authentication is successful, it acquires the screen data from the PC. The device then encrypts this screen data in real time and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0173] Input: Authentication success result, PC screen data

[0174] Output: Encrypted screen data, displayed on headset

[0175] Step 5:

[0176] Wearing status monitoring

[0177] The device constantly monitors the headset's wearing status. Specifically, a sensor for monitoring the wearing status measures the headset's position and angle and evaluates the wearing status in real time. If the headset is removed, the device immediately stops displaying the PC screen. Furthermore, if the headset is put back on, a re-authentication procedure is performed.

[0178] Input: Headset wearing status data

[0179] Output: Stops PC screen display or starts re-authentication procedure

[0180] This processing flow allows the system to maintain high security while allowing users to work safely in a remote environment.

[0181] (Application example 1)

[0182] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0183] In conventional remote work environments, it has been extremely difficult to safely handle highly confidential data and personal information. In particular, many issues remain regarding the reliability of identity authentication and data protection. Furthermore, the risk of unauthorized access in remote environments and the difficulty of monitoring device wearing status have increased security threats.

[0184] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0185] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server and performing authentication, means for displaying the screen of an electronic device through the headset if the authentication is successful, means for encrypting the screen data of the electronic device, and means for monitoring the wearing status of the headset and stopping the display of the screen of the electronic device if the headset is removed. This makes it possible to safely handle highly confidential data and personal information and minimize the risk of unauthorized access.

[0186] A "headset" is a device worn by a user that provides visual and audio information.

[0187] "Biometric data" refers to data used to identify an individual user, and in the present invention, it primarily refers to iris data.

[0188] A "server" is a computer system that sends and receives data over a network and provides functions such as authentication and analysis.

[0189] "Authentication" is the process of verifying that a user is a legitimate person, and in the present invention, iris authentication is mainly used.

[0190] "Electronic device screen" refers to the screen of the device that displays information that the user uses to work, and this information is provided through the headset.

[0191] "Encryption" is the process of converting data into a form that is invisible to third parties, and is a means of ensuring data security.

[0192] "Wearing status monitoring" is the process of detecting whether the headset is being worn correctly by the user.

[0193] MODE FOR CARRYING OUT THE INVENTION

[0194] System Configuration

[0195] This invention is a system that allows users to work in a remote environment while maintaining high security by using a headset worn by the user. Details of each hardware and software component and specific processing contents are described below.

[0196] Program generation and explanation

[0197] Hardware configuration:

[0198] 1. Headset: A device worn by the user that provides visual and auditory information and includes a built-in iris camera and sensors to monitor wearability.

[0199] 2. Terminal: A computer that receives and transmits data via a headset and a security server. In particular, a smartphone is used as a terminal.

[0200] 3. Security Server: A computer system that analyzes iris data and performs authentication.

[0201] 4. Encryption: Software that converts data into a form that is invisible to third parties.

[0202] Software configuration:

[0203] 1. Python: A programming language for operations.

[0204] 2. OpenCV: A library used to capture and process camera data.

[0205] 3. requests: An HTTP library for sending and receiving data.

[0206] 4. pycryptodome: A library for data encryption.

[0207] Headset Startup and Authentication

[0208] Start and connect:

[0209] When a user puts on the headset and turns on the device, it automatically connects to the security server, and the headset's built-in iris camera captures the user's iris data.

[0210] Iris recognition and data transmission:

[0211] The device sends the captured iris data to a security server, which analyzes the data and compares it with a pre-registered database. If authentication is successful, the server notifies the device of the result.

[0212] Screen Display and Monitoring

[0213] Start screen display:

[0214] If authentication is successful, the device encrypts the screen data obtained from the electronic device and sends it to the headset, allowing the user to safely view and operate the business application screen through the headset display.

[0215] Wearability monitoring:

[0216] The device constantly monitors whether the headset is being worn correctly. If the headset wearing status monitoring sensor detects that the headset has been removed, the device immediately stops displaying the screen, preventing the risk of information leakage.

[0217] Examples of specific examples and prompts

[0218] Examples:

[0219] For example, there is a sales representative who handles personal information of customers. After the representative puts on the headset and performs iris authentication, important data, including personal information, can be securely accessed remotely. If the headset is removed during work, the screen display immediately stops, preventing the risk of information leaks.

[0220] Example prompt sentence:

[0221] "Tell us a scenario where you need to handle highly sensitive data remotely and securely. For example, imagine a scenario where a user puts on a smartphone headset and uses iris recognition to securely access information."

[0222] As described above, the present invention provides a highly secure system that functions effectively in a variety of remote environments.

[0223] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0224] Step 1:

[0225] When a user puts on a headset and turns on the device, the device automatically connects to the security server. The input is the power-on and connection request, and the output is a notification that the connection has been completed to the security server.

[0226] Step 2:

[0227] An iris camera built into the headset captures the user's iris data. This data is sent to the device, which then forwards it to a security server. The input is the captured iris data, and the output is the iris data sent to the server.

[0228] Step 3:

[0229] The security server analyzes the received iris data and performs authentication by comparing it with a pre-registered database. Based on this process, the server generates an authentication result and notifies the terminal. The input is the transmitted iris data, and the output is the authentication result.

[0230] Step 4:

[0231] Based on the authentication result received from the security server, the terminal obtains and encrypts the screen data of the electronic device only if authentication is successful. The input is a successful authentication notification and the screen data, and the output is the encrypted screen data.

[0232] Step 5:

[0233] The encrypted screen data is sent from the terminal to the headset and displayed on the headset display. The input is the encrypted screen data, and the output is the display on the headset display.

[0234] Step 6:

[0235] The device constantly monitors the headset's wearing status. The wearing status monitoring sensor checks whether the headset is being worn properly, and immediately stops the screen display if the headset is removed. The input is the wearing status sensor data, and the output is the screen display status (displaying or stopped).

[0236] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0237] System Overview

[0238] This invention is a system that utilizes a headset worn by the user to perform work in a remote environment while maintaining high security. The system is equipped with an emotion engine that recognizes the user's emotions, in addition to identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[0239] composition

[0240] Headset: A device worn by the user that provides visual and auditory information.

[0241] Iris camera: Built into the headset, it captures the user's iris data.

[0242] Security server: A computer system that analyzes biometric data and performs authentication.

[0243] Terminal: The computer that receives and sends data via the headset and security server.

[0244] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0245] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0246] Emotion engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[0247] Specific Embodiments

[0248] 1. Turn on the headset

[0249] The user puts on the headset and turns it on. The device automatically connects to the security server.

[0250] 2. Iris Recognition

[0251] The iris camera captures the user's iris data, which the device then sends to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[0252] 3. Start of screen display

[0253] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0254] 4. Monitoring of wearing status

[0255] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[0256] 5. Activating the Emotional Engine

[0257] The headset captures the user's voice and facial expression data and analyzes it using an emotion engine.

[0258] 6. Sentiment Analysis Processing

[0259] The emotion engine analyzes the user's emotions based on the captured data, which are reflected in the content display and feedback.

[0260] 7. Content Adjustment

[0261] Based on the emotion recognized, the device will adjust the content displayed in the headset, for example, if you are feeling stressed, it will present a relaxing interface.

[0262] Specific examples

[0263] Scenario: "Remotely handling highly sensitive data while simultaneously monitoring user emotions"

[0264] 1. Start and connect

[0265] When a worker puts on the headset and turns it on, the device connects to the security server.

[0266] 2. Authentication Process

[0267] The iris camera captures the iris data of the person in charge and sends it to the security server via the terminal, which analyzes the data and verifies that the user is legitimate.

[0268] 3. Business Continuity

[0269] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[0270] 4. Monitoring and disconnecting the device

[0271] During work, the headset status is constantly monitored, and if it is removed, the display on the PC screen immediately stops.

[0272] 5. Emotion Monitoring

[0273] The emotion engine captures and analyzes the voice and facial expressions of the employee while they are working. For example, if they become tense while handling crime prevention information, the interface will automatically switch to a more relaxed one.

[0274] In this way, the present invention provides a system that utilizes user emotion recognition to further facilitate work in a remote environment while maintaining high security.

[0275] The processing flow will be explained below.

[0276] Step 1:

[0277] The user puts on the headset.

[0278] The user puts the headset on their head and turns it on.

[0279] Step 2:

[0280] The terminal establishes a connection to the security server.

[0281] The terminal automatically sends a connection request to the security server over the network.

[0282] Step 3:

[0283] The terminal displays an iris authentication prompt to the user.

[0284] Iris authentication instructions will appear on the headset's built-in display.

[0285] Step 4:

[0286] The terminal activates the iris camera and captures the user's iris data.

[0287] The headset's iris camera activates and captures the user's iris data in high resolution.

[0288] Step 5:

[0289] The device transmits the captured iris data to a security server.

[0290] The device encrypts the captured iris data and sends it to a security server.

[0291] Step 6:

[0292] The server analyzes the received iris data and performs authentication.

[0293] The server receives the iris data and compares it with a registered database to authenticate the user.

[0294] Step 7:

[0295] The server sends the authentication result to the terminal.

[0296] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[0297] Step 8:

[0298] The terminal notifies the user of the authentication result.

[0299] A message indicating authentication success or failure will appear on the headset display.

[0300] Step 9:

[0301] If authentication is successful, the device requests the PC's screen data from the server.

[0302] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[0303] Step 10:

[0304] The server sends the encrypted screen data to the terminal.

[0305] The server encrypts the PC screen data in real time and sends it to the terminal.

[0306] Step 11:

[0307] The device displays the encrypted screen data on the headset.

[0308] The device decodes the received data and displays it in real time on the headset display.

[0309] Step 12:

[0310] The device monitors whether the headset is being worn.

[0311] Sensors constantly monitor whether the headset is being worn correctly.

[0312] Step 13:

[0313] If the device is removed from the device, it will immediately stop displaying the PC screen.

[0314] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[0315] Step 14:

[0316] The headset captures the user's voice and facial expression data.

[0317] The headset's microphone and camera capture the user's voice and facial expressions in real time.

[0318] Step 15:

[0319] The device sends the captured data to the emotion engine.

[0320] The terminal transmits the voice data and the facial expression data to the emotion engine.

[0321] Step 16:

[0322] The emotion engine analyzes the user's emotions.

[0323] The emotion engine analyzes the user's emotions based on the received data and sends the results to the device.

[0324] Step 17:

[0325] The device adjusts the content displayed on the headset based on the analysis results.

[0326] If the user is feeling stressed, the device will adjust the display, for example by changing the interface to one that is more relaxing.

[0327] Example 2

[0328] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0329] In today's remote work environments, it is necessary to handle highly confidential data while maintaining high security. However, conventional systems have limitations in user authentication and screen display security, and also lack the ability to monitor the user's emotional state. This makes it difficult to reduce the burden on users and improve work efficiency.

[0330] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for capturing the user's voice data and facial expression data and transmitting them to an emotion analysis engine, means for the emotion analysis engine to analyze the voice data and the facial expression data and provide feedback on the user's emotional state, and means for adjusting content based on the results of the emotion analysis. This enables remote work that takes the user's emotional state into consideration while maintaining high security.

[0331] "Biometric data" means data based on physical characteristics used for the identification or authentication of an individual.

[0332] A "headset" is a device worn on a user's head that provides visual and audio information.

[0333] "Iris data" is data containing unique identification information obtained from the iris portion of a user's eye.

[0334] A "server" is a computer system that stores, manages, analyzes, and provides data on a network.

[0335] "Terminal" refers to a computer or other electronic device used by a User.

[0336] "Encryption" is a technology that converts data in one direction to protect it from unauthorized access or tampering by third parties.

[0337] "Monitoring the wearing status" is a process in which a sensor or the like is used to detect whether the headset is being worn correctly by the user.

[0338] An "emotion analysis engine" is a system that analyzes voice data and facial expression data to recognize the user's emotional state.

[0339] "Feedback" is the process by which the system returns analysis results or operation results to the user.

[0340] "Content adjustment" refers to the operation of adapting the displayed information or interface based on the user's emotional state.

[0341] "TLS" is a cryptographic protocol for protecting data at the transport layer.

[0342] "AES" stands for Advanced Encryption Standard, an algorithm used to encrypt data.

[0343] This invention is a system that enables users to work remotely while maintaining high security using a headset. The system includes iris authentication for identity verification, secure screen display, monitoring of headset wear status, and an emotion analysis engine that recognizes the user's emotions.

[0344] composition

[0345] The system consists of the following hardware and software:

[0346] Headset: A device worn by the user that provides visual and auditory information.

[0347] Iris camera: Built into the headset, it captures the user's iris data.

[0348] Security server: A computer system that analyzes biometric data and performs authentication.

[0349] Device: The computer that receives and sends data via the headset and security server.

[0350] Encryption function: A technology that converts data into a form that cannot be seen by third parties. AES encryption is used here.

[0351] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0352] Emotion analysis engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[0353] Specific Examples

[0354] 1. Turn on the headset

[0355] The user puts on the headset and turns it on, which automatically connects the device to the security server.

[0356] 2. Iris Recognition

[0357] The iris camera captures the user's iris data. The device sends the captured data to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[0358] 3. Start of screen display

[0359] If authentication is successful, the device encrypts the PC screen data using AES and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0360] 4. Monitoring of wearing status

[0361] The device constantly uses sensors to monitor whether the headset is being worn correctly, and if the headset is removed, the device immediately stops displaying the PC screen.

[0362] 5. Start sentiment analysis

[0363] The headset captures the user's voice and facial expression data, analyzes it using an emotion analysis engine, and feeds the analysis results back to the device.

[0364] 6. Emotional Feedback

[0365] Based on the analyzed emotional data, the device can adjust the content displayed in the headset, for example, displaying a relaxing interface if the user is feeling stressed.

[0366] Prompt Sentence Examples

[0367] For example: "Describe how you can recognize user emotions in real time and adjust the interface as needed when working with highly sensitive data remotely."

[0368] As a result, the present invention simultaneously provides users with safety and emotional comfort, enabling highly secure remote work.

[0369] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0370] Program processing flow

[0371] Step 1:

[0372] Starting up the headset

[0373] The user puts on the headset and turns it on. This starts the headset and displays the initial screen. The device detects this start-up signal and automatically initiates a secure connection to the security server using the HTTPS protocol. The input is the user's start-up operation, and the output is a connection signal to the security server.

[0374] Step 2:

[0375] Iris Data Capture

[0376] The iris camera built into the headset captures the user's iris data. When the user looks at the camera, the camera automatically captures an iris image and transmits the data to the device. The input is the user's iris information, and the output is the captured iris data.

[0377] Step 3:

[0378] Sending iris data

[0379] The device captures iris data, encrypts it in real time using AES, and sends it to a security server. The server receives this data and begins matching it with a database. The input is the captured iris data, and the output is the encrypted data transmission.

[0380] Step 4:

[0381] Iris Recognition

[0382] The security server analyzes the received iris data and compares it with the registered iris database. If authentication is successful, the server sends a notification of successful authentication to the terminal. The input is encrypted iris data, and the output is the authentication result.

[0383] Step 5:

[0384] Screen data encryption and transmission

[0385] After the device receives a successful authentication notification, it encrypts the PC screen data in real time using AES and sends it to the headset display. This allows the user to view the PC screen securely. The input is the successful authentication notification and the PC screen data, and the output is the transmission of the encrypted screen data.

[0386] Step 6:

[0387] Wearing status monitoring

[0388] The device uses sensors to constantly monitor whether the headset is being worn. If the headset is removed, the device immediately stops displaying the PC screen. The input is sensor data indicating the headset's wearing status, and the output is a control signal for the screen display.

[0389] Step 7:

[0390] Capturing Emotional Data

[0391] The headset captures the user's voice and facial expression data and sends them to the emotion analysis engine. Voice data is captured using a built-in microphone, and facial expression data is captured using a camera. The input is the user's voice and facial expression, and the output is the captured data.

[0392] Step 8:

[0393] Sentiment Analysis and Feedback

[0394] The emotion analysis engine analyzes the captured voice and facial expression data, determines the user's emotional state, and provides feedback to the device. The input is the captured emotional data, and the output is feedback of the emotional state.

[0395] Step 9:

[0396] Content Adjustment

[0397] The device adjusts the content displayed on the headset based on the analyzed emotion data. For example, if it determines that the user is feeling stressed, it provides a relaxing interface. The input is the result of emotion analysis, and the output is the adjusted content display.

[0398] (Application example 2)

[0399] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0400] Ensuring security and efficient work execution are key issues in today's remote work and online meetings. However, security vulnerabilities and user stress often become problems in these environments. In particular, for tasks that require high security, personal authentication and data encryption are important. Additionally, monitoring the user's emotional state and responding appropriately are also required. No system currently exists that combines these two elements, so a new solution is needed.

[0401] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for analyzing the user's emotions in real time using an emotion engine built into the headset, and means for adjusting the user interface based on the emotions. This makes it possible to manage both user security and emotions in real time.

[0402] A "headset" is a device worn by a user that provides visual and audio information.

[0403] "Biometric data" refers to data used for personal authentication, such as iris data obtained from the user's body.

[0404] A "server" is a computer system that analyzes biometric data and performs authentication.

[0405] "Authentication" is the process of verifying a user's identity based on their biometric data.

[0406] "Computer screen" refers to the screen display of a personal computer used for business or remote meetings.

[0407] The "wearing state" refers to whether the headset is worn correctly by the user.

[0408] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotions.

[0409] A "user interface" refers to the display screen and operating means used to exchange information between a computer and a user.

[0410] "Data encryption" is a technology that converts data into a form that is invisible to third parties.

[0411] "Analysis" is the process of examining data in detail and extracting information.

[0412] System Overview

[0413] This invention is a system that enables users to work and hold meetings in a remote environment while maintaining high security by using a headset worn by the user. This system verifies the user's identity through iris authentication, displays a secure screen, monitors the wearing status, and incorporates an emotion engine that recognizes the user's emotions.

[0414] composition

[0415] Headset: A device worn by the user that provides visual and audio information. It includes an iris camera, a voice-capturing microphone, and sensors that monitor wearability.

[0416] Iris camera: Built into the headset, it captures the user's iris data.

[0417] Security server: A computer system that analyzes biometric data and performs authentication.

[0418] Terminal: The computer that receives and sends data via the headset and security server.

[0419] Encryption: Technology that transforms data into a form that is invisible to third parties. For example, cryptography.fernet is used.

[0420] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0421] Emotion engine: A system that analyzes voice data and facial expression data to recognize emotions. For example, EmotionRecognizer is used.

[0422] Specific Embodiments

[0423] 1. Turn on the headset:

[0424] The user puts on the headset and turns it on. The device automatically connects to the security server. In this step, the iris camera and microphone are activated.

[0425] 2. Iris Recognition:

[0426] The iris camera captures the user's iris data, and the device sends this data to a security server. The security server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result. This allows the user to confirm whether they are a legitimate authenticated individual.

[0427] 3. Start screen display:

[0428] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display, enabling work and meetings to be conducted in a secure environment.

[0429] 4. Wearability monitoring:

[0430] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop, maintaining security.

[0431] 5. Activating the Emotion Engine:

[0432] The headset captures the user's voice and facial expression data and analyzes it with an emotion engine, which analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time.

[0433] 6. Sentiment Analysis Processing:

[0434] The emotion engine analyzes the user's emotions based on the captured data. For example, if the user is feeling stressed, the emotion engine analyzes the emotional data and automatically switches to a relaxation interface.

[0435] Specific usage examples and prompt sentence examples

[0436] Usage example:

[0437] In secure VVIP meetings, participants wear headsets and share data securely using iris recognition and encrypted communications. If emotions indicate stress during the meeting, the user interface automatically switches to relaxation mode.

[0438] Example prompt sentence:

[0439] A system that performs iris authentication on remote meeting participants to enable highly secure data sharing. It monitors the emotional state of participants during the meeting and switches to a relaxing UI if they show signs of stress. Please show us the specific implementation method and programming steps for this system.

[0440] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0441] Step 1:

[0442] The user puts on the headset and turns it on. The device detects the headset's activation signal and automatically connects to the security server, where the iris camera and microphone are activated. This process checks the headset's wearing status and operation status to ensure it is activated correctly.

[0443] Input: User puts on headset and powers it on.

[0444] Data processing: The headset is put on and an activation signal is sent to the device.

[0445] Output: Automatic connection to security server successful, iris camera and microphone are activated.

[0446] Step 2:

[0447] The iris camera captures the user's iris data, and the device sends this data to the security server. The server analyzes the iris data and compares it with a registered database. If the authentication is successful, the server notifies the device of the result. In this step, data transmission and analysis for authentication are performed.

[0448] Input: The user's iris data is captured.

[0449] Data processing: The captured iris data is encoded and sent to a security server, which checks it against a database for authentication.

[0450] Output: The authentication result is notified to the terminal.

[0451] Step 3:

[0452] If authentication is successful, the device receives authentication confirmation from the security server, encrypts the PC screen data, and sends it to the headset. The user can then view the PC screen through the headset display. In this step, data encryption and display processing are performed.

[0453] Input: Notification of authentication result.

[0454] Data processing: PC screen data is encrypted and sent to the headset.

[0455] Output: Allows users to view their PC screen through the headset.

[0456] Step 4:

[0457] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display is immediately stopped. In this step, the headset wearing status is monitored and the screen display is managed.

[0458] Input: Headset wearing status.

[0459] Data calculation: The sensor attached to the device monitors the data and stops displaying the data on the screen if the device is removed.

[0460] Output: When the headset is removed, the PC screen stops displaying.

[0461] Step 5:

[0462] The emotion engine in the headset captures and analyzes the user's voice and facial expression data. The emotion engine analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time. In this step, emotion data is captured and analyzed.

[0463] Input: User's voice and facial expression data.

[0464] Data calculation: The emotion engine analyzes the data and recognizes the user's emotions.

[0465] Output: The user's emotional state is recognized in real time.

[0466] Step 6:

[0467] Based on the analysis results of the emotion engine, the device adjusts the content displayed on the headset. For example, if the user is feeling stressed, it will provide a relaxing interface. In this step, the UI is adjusted based on the emotion recognition results.

[0468] Input: Analysis results from the emotion engine.

[0469] Data Computation: Adjusting the user interface based on the perceived emotional state.

[0470] Output: If you are feeling stressed, you will be presented with an interface that helps you relax.

[0471] 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.

[0472] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0473] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0474] [Second embodiment]

[0475] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0476] 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.

[0477] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0478] 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.

[0479] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0480] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0481] 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. 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.

[0482] 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.

[0483] 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 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.

[0484] 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.

[0485] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0486] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0487] System Overview

[0488] This invention is a system that enables users to work remotely while maintaining high security using a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset wearing status.

[0489] composition

[0490] Headset: A device worn by the user that provides visual and auditory information.

[0491] Iris camera: Built into the headset, it captures the user's iris data.

[0492] Security server: A computer system that analyzes biometric data and performs authentication.

[0493] Terminal: The computer that receives and sends data via the headset and security server.

[0494] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0495] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0496] Specific Embodiments

[0497] 1. Turn on the headset

[0498] The user puts on the headset and turns it on. The device automatically connects to the security server.

[0499] 2. Iris Recognition

[0500] The headset captures the user's iris, and the device sends this data to a security server. The server analyzes the iris data and compares it with a registered database. If authentication is successful, the server notifies the device of the result.

[0501] 3. Start of screen display

[0502] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0503] 4. Monitoring of wearing status

[0504] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[0505] Specific examples

[0506] Scenario: "Remote handling of highly sensitive data"

[0507] 1. Start and connect

[0508] For example, if a worker handles highly confidential data, when the worker puts on the headset and turns it on, the device automatically connects to a security server.

[0509] 2. Authentication Process

[0510] The headset's iris camera captures the officer's iris data and sends it via the device to a security server, which analyzes the data and verifies the identity of the authorized user.

[0511] 3. Business Continuity

[0512] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[0513] 4. Monitoring and disconnecting the device

[0514] During work, the device constantly monitors whether the headset is being worn, and if the employee removes the headset, the device immediately stops displaying the screen, preventing the risk of information leaks.

[0515] As described above, the present invention is a specific system for realizing safe business operations in a remote environment while maintaining high security.

[0516] The processing flow will be explained below.

[0517] Step 1:

[0518] The user puts on the headset.

[0519] The user puts the headset on their head and turns it on.

[0520] Step 2:

[0521] The terminal establishes a connection to the security server.

[0522] The terminal automatically sends a connection request to the security server over the network.

[0523] Step 3:

[0524] The terminal displays an iris authentication prompt to the user.

[0525] Iris authentication instructions will appear on the headset's built-in display.

[0526] Step 4:

[0527] The terminal activates the iris camera and captures the user's iris data.

[0528] The headset's iris camera activates and captures the user's iris data in high resolution.

[0529] Step 5:

[0530] The device transmits the captured iris data to a security server.

[0531] The device encrypts the captured iris data and sends it to a security server.

[0532] Step 6:

[0533] The server analyzes the received iris data and performs authentication.

[0534] The server receives the iris data and compares it with a registered database to authenticate the user.

[0535] Step 7:

[0536] The server sends the authentication result to the terminal.

[0537] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[0538] Step 8:

[0539] The terminal notifies the user of the authentication result.

[0540] A message indicating authentication success or failure will appear on the headset display.

[0541] Step 9:

[0542] If authentication is successful, the device requests the PC's screen data from the server.

[0543] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[0544] Step 10:

[0545] The server sends the encrypted screen data to the terminal.

[0546] The server encrypts the PC screen data in real time and sends it to the terminal.

[0547] Step 11:

[0548] The device displays the encrypted screen data on the headset.

[0549] The device decodes the received data and displays it in real time on the headset display.

[0550] Step 12:

[0551] The device monitors whether the headset is being worn.

[0552] Sensors constantly monitor whether the headset is being worn correctly.

[0553] Step 13:

[0554] If the device is removed from the device, it will immediately stop displaying the PC screen.

[0555] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[0556] Example 1

[0557] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0558] When handling highly confidential information in a remote environment, there are challenges in verifying user identity and ensuring data security. Specifically, when users work remotely, it is necessary to prevent unauthorized access by third parties, monitor whether users are wearing headsets correctly, and prevent the leakage of confidential information. Data encryption is also required, and a system that allows users to view and manipulate data safely and securely is required.

[0559] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0560] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server via a terminal for authentication, means for encrypting and displaying a computer screen on the headset via the terminal if the authentication is successful, and means for constantly monitoring the wearing status of the headset and immediately stopping the display of the computer screen if the headset is removed. This makes it possible to safely handle data while maintaining high security even in a remote environment.

[0561] "Biometric data" refers to data based on the user's biometric information, and particularly includes iris data.

[0562] A "terminal" is a computing device that sends and receives data between the headset and the server.

[0563] A "server" is a computer system that analyzes biometric data and performs authentication.

[0564] A "headset" is a device worn by a user that provides visual and audio information.

[0565] "Iris data" is biometric data that captures information from the user's iris.

[0566] "Encryption" is a technology that converts data into a form that is invisible to third parties and is used to ensure data security.

[0567] "Wearing status monitoring" is the process of monitoring whether the headset is being worn correctly by the user.

[0568] "Authentication" is the process of verifying a user by analyzing the user's biometric data and comparing it with registered data.

[0569] "Computer screen" means the display screen of a PC or other computing device.

[0570] "Unplugged" refers to the state when the headset is removed from the user's head.

[0571] System Overview

[0572] This invention is a system that uses a headset worn by the user to perform work in a remote environment while maintaining high security. Specific functions include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[0573] composition

[0574] Headset: A device worn by a user that provides visual and auditory information.

[0575] Iris camera: Built into the headset, it captures the user's iris data.

[0576] Security server: A computer system that analyzes biometric data and performs authentication.

[0577] Device: The computer that sends and receives data between the headset and the security server.

[0578] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0579] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0580] Specific operation procedures and processing overview

[0581] 1. Turn on and connect the headset

[0582] The user puts on the headset and turns it on. After the device starts up, it automatically connects to the security server. Specifically, once a network connection is established, the device sends a login request to the security server using the server's IP address and authentication information.

[0583] 2. Capturing and transmitting iris data

[0584] The user fixates their gaze on the headset's iris camera, which captures the user's iris data at a high frame rate, and the device encrypts this data before sending it to a security server.

[0585] 3. Performing Iris Recognition

[0586] The server analyzes the received iris data using an iris analysis algorithm, and compares the data with a database. If authentication is successful, the result is notified to the device.

[0587] 4. Start secure screen display

[0588] If the terminal receives the authentication status and the authentication is successful, the PC screen data is encrypted in real time and sent to the headset, allowing the user to view the PC screen through the headset display.

[0589] 5. Monitoring of wearing status

[0590] The device uses a sensor to constantly monitor whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop. Re-authentication will be performed when the headset is put back on.

[0591] Specific examples

[0592] Scenario: "Remote handling of highly sensitive data"

[0593] 1. Start and connect

[0594] When a person handling highly confidential data puts on the headset and turns it on, the device automatically connects to the security server, completing the automatic connection within a few seconds.

[0595] 2. Authentication Process

[0596] The device captures the iris data of the person in charge using the headset's iris camera and sends it to the server, which analyzes the data and notifies the authentication result within a few seconds.

[0597] 3. Business Continuity

[0598] After successful authentication, the device encrypts the PC screen and transmits it to the headset, allowing the employee to safely view the client's personal information through the headset while continuing their work.

[0599] 4. Monitoring and disconnecting the device

[0600] The device constantly monitors whether the headset is being worn, and if the person in charge removes the headset, the display on the PC screen immediately stops. When the headset is put back on, the authentication process is repeated.

[0601] Example prompts for generative AI models

[0602] You can generate a system description using the following prompt:

[0603] Example prompt:

[0604] "Please explain the features of a highly secure system that utilizes a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status."

[0605] This prompt sentence makes it possible to briefly explain the functional overview and operating procedures of the generated system in natural language.

[0606] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0607] Step 1:

[0608] Headset startup and initial connection

[0609] The user puts on the headset and turns it on. The headset is powered on and the internal system starts up. The device then automatically attempts to connect to the security server via the headset's communications module. Specifically, it establishes a network connection and sends a login request to the security server using the server's IP address and authentication information.

[0610] Input: Headset activation, user operation

[0611] Output: Connection request to security server

[0612] Step 2:

[0613] Iris data capture and transmission

[0614] The user puts on the headset and fixes their gaze. The iris camera captures the user's iris data. Specifically, the camera rapidly captures several iris images and converts them into digital data. The device then encrypts the captured iris data and sends it to a security server.

[0615] Input: User's iris data

[0616] Output: Encrypted iris data to the server

[0617] Step 3:

[0618] Performing iris recognition

[0619] The server analyzes the received iris data. Specifically, it uses an iris analysis algorithm to compare the received data with the user's iris data registered in a database. The server determines whether the authentication was successful or failed as a result of the analysis and notifies the terminal of the result.

[0620] Input: Encrypted iris data

[0621] Output: Authentication result (success or failure)

[0622] Step 4:

[0623] Start Secure Screen View

[0624] The device receives the authentication result, and if authentication is successful, it acquires the screen data from the PC. The device then encrypts this screen data in real time and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0625] Input: Authentication success result, PC screen data

[0626] Output: Encrypted screen data, displayed on headset

[0627] Step 5:

[0628] Wearing status monitoring

[0629] The device constantly monitors the headset's wearing status. Specifically, a sensor for monitoring the wearing status measures the headset's position and angle and evaluates the wearing status in real time. If the headset is removed, the device immediately stops displaying the PC screen. Furthermore, if the headset is put back on, a re-authentication procedure is performed.

[0630] Input: Headset wearing status data

[0631] Output: Stops PC screen display or starts re-authentication procedure

[0632] This processing flow allows the system to maintain high security while allowing users to work safely in a remote environment.

[0633] (Application example 1)

[0634] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0635] In conventional remote work environments, it has been extremely difficult to safely handle highly confidential data and personal information. In particular, many issues remain regarding the reliability of identity authentication and data protection. Furthermore, the risk of unauthorized access in remote environments and the difficulty of monitoring device wearing status have increased security threats.

[0636] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0637] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server and performing authentication, means for displaying the screen of an electronic device through the headset if the authentication is successful, means for encrypting the screen data of the electronic device, and means for monitoring the wearing status of the headset and stopping the display of the screen of the electronic device if the headset is removed. This makes it possible to safely handle highly confidential data and personal information and minimize the risk of unauthorized access.

[0638] A "headset" is a device worn by a user that provides visual and audio information.

[0639] "Biometric data" refers to data used to identify an individual user, and in the present invention, it primarily refers to iris data.

[0640] A "server" is a computer system that sends and receives data over a network and provides functions such as authentication and analysis.

[0641] "Authentication" is the process of verifying that a user is a legitimate person, and in the present invention, iris authentication is mainly used.

[0642] "Electronic device screen" refers to the screen of the device that displays information that the user uses to work, and this information is provided through the headset.

[0643] "Encryption" is the process of converting data into a form that is invisible to third parties, and is a means of ensuring data security.

[0644] "Wearing status monitoring" is the process of detecting whether the headset is being worn correctly by the user.

[0645] MODE FOR CARRYING OUT THE INVENTION

[0646] System Configuration

[0647] This invention is a system that allows users to work in a remote environment while maintaining high security by using a headset worn by the user. Details of each hardware and software component and specific processing contents are described below.

[0648] Program generation and explanation

[0649] Hardware configuration:

[0650] 1. Headset: A device worn by the user that provides visual and auditory information and includes a built-in iris camera and sensors to monitor wearability.

[0651] 2. Terminal: A computer that receives and transmits data via a headset and a security server. In particular, a smartphone is used as a terminal.

[0652] 3. Security Server: A computer system that analyzes iris data and performs authentication.

[0653] 4. Encryption: Software that converts data into a form that is invisible to third parties.

[0654] Software configuration:

[0655] 1. Python: A programming language for operations.

[0656] 2. OpenCV: A library used to capture and process camera data.

[0657] 3. requests: An HTTP library for sending and receiving data.

[0658] 4. pycryptodome: A library for data encryption.

[0659] Headset startup and authentication

[0660] Start and connect:

[0661] When a user puts on the headset and turns on the device, it automatically connects to the security server, and the headset's built-in iris camera captures the user's iris data.

[0662] Iris recognition and data transmission:

[0663] The device sends the captured iris data to a security server, which analyzes the data and compares it with a pre-registered database. If authentication is successful, the server notifies the device of the result.

[0664] Screen Display and Monitoring

[0665] Start screen display:

[0666] If authentication is successful, the device encrypts the screen data obtained from the electronic device and sends it to the headset, allowing the user to safely view and operate the business application screen through the headset display.

[0667] Wearability monitoring:

[0668] The device constantly monitors whether the headset is being worn correctly. If the headset wearing status monitoring sensor detects that the headset has been removed, the device immediately stops displaying the screen, preventing the risk of information leakage.

[0669] Examples of specific examples and prompts

[0670] Examples:

[0671] For example, there is a sales representative who handles personal information of customers. After the representative puts on the headset and performs iris authentication, important data, including personal information, can be securely accessed remotely. If the headset is removed during work, the screen display immediately stops, preventing the risk of information leaks.

[0672] Example prompt sentence:

[0673] "Tell us a scenario where you need to handle highly sensitive data remotely and securely. For example, imagine a scenario where a user puts on a smartphone headset and uses iris recognition to securely access information."

[0674] As described above, the present invention provides a highly secure system that functions effectively in a variety of remote environments.

[0675] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0676] Step 1:

[0677] When a user puts on a headset and turns on the device, the device automatically connects to the security server. The input is the power-on and connection request, and the output is a notification that the connection has been completed to the security server.

[0678] Step 2:

[0679] An iris camera built into the headset captures the user's iris data. This data is sent to the device, which then forwards it to a security server. The input is the captured iris data, and the output is the iris data sent to the server.

[0680] Step 3:

[0681] The security server analyzes the received iris data and performs authentication by comparing it with a pre-registered database. Based on this process, the server generates an authentication result and notifies the terminal. The input is the transmitted iris data, and the output is the authentication result.

[0682] Step 4:

[0683] Based on the authentication result received from the security server, the terminal obtains and encrypts the screen data of the electronic device only if authentication is successful. The input is a successful authentication notification and the screen data, and the output is the encrypted screen data.

[0684] Step 5:

[0685] The encrypted screen data is sent from the terminal to the headset and displayed on the headset display. The input is the encrypted screen data, and the output is the display on the headset display.

[0686] Step 6:

[0687] The device constantly monitors the headset's wearing status. The wearing status monitoring sensor checks whether the headset is being worn properly, and immediately stops the screen display if the headset is removed. The input is the wearing status sensor data, and the output is the screen display status (displaying or stopped).

[0688] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0689] System Overview

[0690] This invention is a system that utilizes a headset worn by the user to perform work in a remote environment while maintaining high security. The system is equipped with an emotion engine that recognizes the user's emotions, in addition to identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[0691] composition

[0692] Headset: A device worn by the user that provides visual and auditory information.

[0693] Iris camera: Built into the headset, it captures the user's iris data.

[0694] Security server: A computer system that analyzes biometric data and performs authentication.

[0695] Terminal: The computer that receives and sends data via the headset and security server.

[0696] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0697] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0698] Emotion engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[0699] Specific Embodiments

[0700] 1. Turn on the headset

[0701] The user puts on the headset and turns it on. The device automatically connects to the security server.

[0702] 2. Iris Recognition

[0703] The iris camera captures the user's iris data, which the device then sends to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[0704] 3. Start of screen display

[0705] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0706] 4. Monitoring of wearing status

[0707] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[0708] 5. Activating the Emotional Engine

[0709] The headset captures the user's voice and facial expression data and analyzes it using an emotion engine.

[0710] 6. Sentiment Analysis Processing

[0711] The emotion engine analyzes the user's emotions based on the captured data, which are reflected in the content display and feedback.

[0712] 7. Content Adjustment

[0713] Based on the emotion recognized, the device will adjust the content displayed in the headset, for example, if you are feeling stressed, it will present a relaxing interface.

[0714] Specific examples

[0715] Scenario: "Remotely handling highly sensitive data while simultaneously monitoring user emotions"

[0716] 1. Start and connect

[0717] When a worker puts on the headset and turns it on, the device connects to the security server.

[0718] 2. Authentication Process

[0719] The iris camera captures the iris data of the person in charge and sends it to the security server via the terminal, which analyzes the data and verifies that the user is legitimate.

[0720] 3. Business Continuity

[0721] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[0722] 4. Monitoring and disconnecting the device

[0723] During work, the headset status is constantly monitored, and if it is removed, the display on the PC screen immediately stops.

[0724] 5. Emotion Monitoring

[0725] The emotion engine captures and analyzes the voice and facial expressions of the employee while they are working. For example, if they become tense while handling crime prevention information, the interface will automatically switch to a more relaxed one.

[0726] In this way, the present invention provides a system that utilizes user emotion recognition to further facilitate work in a remote environment while maintaining high security.

[0727] The processing flow will be explained below.

[0728] Step 1:

[0729] The user puts on the headset.

[0730] The user puts the headset on their head and turns it on.

[0731] Step 2:

[0732] The terminal establishes a connection to the security server.

[0733] The terminal automatically sends a connection request to the security server over the network.

[0734] Step 3:

[0735] The terminal displays an iris authentication prompt to the user.

[0736] Iris authentication instructions will appear on the headset's built-in display.

[0737] Step 4:

[0738] The terminal activates the iris camera and captures the user's iris data.

[0739] The headset's iris camera activates and captures the user's iris data in high resolution.

[0740] Step 5:

[0741] The device transmits the captured iris data to a security server.

[0742] The device encrypts the captured iris data and sends it to a security server.

[0743] Step 6:

[0744] The server analyzes the received iris data and performs authentication.

[0745] The server receives the iris data and compares it with a registered database to authenticate the user.

[0746] Step 7:

[0747] The server sends the authentication result to the terminal.

[0748] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[0749] Step 8:

[0750] The terminal notifies the user of the authentication result.

[0751] A message indicating authentication success or failure will appear on the headset display.

[0752] Step 9:

[0753] If authentication is successful, the device requests the PC's screen data from the server.

[0754] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[0755] Step 10:

[0756] The server sends the encrypted screen data to the terminal.

[0757] The server encrypts the PC screen data in real time and sends it to the terminal.

[0758] Step 11:

[0759] The device displays the encrypted screen data on the headset.

[0760] The device decodes the received data and displays it in real time on the headset display.

[0761] Step 12:

[0762] The device monitors whether the headset is being worn.

[0763] Sensors constantly monitor whether the headset is being worn correctly.

[0764] Step 13:

[0765] If the device is removed from the device, it will immediately stop displaying the PC screen.

[0766] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[0767] Step 14:

[0768] The headset captures the user's voice and facial expression data.

[0769] The headset's microphone and camera capture the user's voice and facial expressions in real time.

[0770] Step 15:

[0771] The device sends the captured data to the emotion engine.

[0772] The terminal transmits the voice data and the facial expression data to the emotion engine.

[0773] Step 16:

[0774] The emotion engine analyzes the user's emotions.

[0775] The emotion engine analyzes the user's emotions based on the received data and sends the results to the device.

[0776] Step 17:

[0777] The device adjusts the content displayed on the headset based on the analysis results.

[0778] If the user is feeling stressed, the device will adjust the display, for example by changing the interface to one that is more relaxing.

[0779] Example 2

[0780] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0781] In today's remote work environments, it is necessary to handle highly confidential data while maintaining high security. However, conventional systems have limitations in user authentication and screen display security, and also lack the ability to monitor the user's emotional state. This makes it difficult to reduce the burden on users and improve work efficiency.

[0782] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for capturing the user's voice data and facial expression data and transmitting them to an emotion analysis engine, means for the emotion analysis engine to analyze the voice data and the facial expression data and provide feedback on the user's emotional state, and means for adjusting content based on the results of the emotion analysis. This enables remote work that takes the user's emotional state into consideration while maintaining high security.

[0783] "Biometric data" means data based on physical characteristics used for the identification or authentication of an individual.

[0784] A "headset" is a device worn on a user's head that provides visual and audio information.

[0785] "Iris data" is data containing unique identification information obtained from the iris portion of a user's eye.

[0786] A "server" is a computer system that stores, manages, analyzes, and provides data on a network.

[0787] "Terminal" refers to a computer or other electronic device used by a User.

[0788] "Encryption" is a technology that converts data in one direction to protect it from unauthorized access or tampering by third parties.

[0789] "Monitoring the wearing status" is a process in which a sensor or the like is used to detect whether the headset is being worn correctly by the user.

[0790] An "emotion analysis engine" is a system that analyzes voice data and facial expression data to recognize the user's emotional state.

[0791] "Feedback" is the process by which the system returns analysis results or operation results to the user.

[0792] "Content adjustment" refers to the operation of adapting the displayed information or interface based on the user's emotional state.

[0793] "TLS" is a cryptographic protocol for protecting data at the transport layer.

[0794] "AES" stands for Advanced Encryption Standard, an algorithm used to encrypt data.

[0795] This invention is a system that enables users to work remotely while maintaining high security using a headset. The system includes iris authentication for identity verification, secure screen display, monitoring of headset wear status, and an emotion analysis engine that recognizes the user's emotions.

[0796] composition

[0797] The system consists of the following hardware and software:

[0798] Headset: A device worn by the user that provides visual and auditory information.

[0799] Iris camera: Built into the headset, it captures the user's iris data.

[0800] Security server: A computer system that analyzes biometric data and performs authentication.

[0801] Device: The computer that receives and sends data via the headset and security server.

[0802] Encryption function: A technology that converts data into a form that cannot be seen by third parties. AES encryption is used here.

[0803] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0804] Emotion analysis engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[0805] Specific Examples

[0806] 1. Turn on the headset

[0807] The user puts on the headset and turns it on, which automatically connects the device to the security server.

[0808] 2. Iris Recognition

[0809] The iris camera captures the user's iris data. The device sends the captured data to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[0810] 3. Start of screen display

[0811] If authentication is successful, the device encrypts the PC screen data using AES and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0812] 4. Monitoring of wearing status

[0813] The device constantly uses sensors to monitor whether the headset is being worn correctly, and if the headset is removed, the device immediately stops displaying the PC screen.

[0814] 5. Start sentiment analysis

[0815] The headset captures the user's voice and facial expression data, analyzes it using an emotion analysis engine, and feeds the analysis results back to the device.

[0816] 6. Emotional Feedback

[0817] Based on the analyzed emotional data, the device can adjust the content displayed in the headset, for example, displaying a relaxing interface if the user is feeling stressed.

[0818] Prompt Sentence Examples

[0819] For example: "Describe how you can recognize user emotions in real time and adjust the interface as needed when working with highly sensitive data remotely."

[0820] As a result, the present invention simultaneously provides users with safety and emotional comfort, enabling highly secure remote work.

[0821] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0822] Program processing flow

[0823] Step 1:

[0824] Starting up the headset

[0825] The user puts on the headset and turns it on. This starts the headset and displays the initial screen. The device detects this start-up signal and automatically initiates a secure connection to the security server using the HTTPS protocol. The input is the user's start-up operation, and the output is a connection signal to the security server.

[0826] Step 2:

[0827] Iris Data Capture

[0828] The iris camera built into the headset captures the user's iris data. When the user looks at the camera, the camera automatically captures an iris image and transmits the data to the device. The input is the user's iris information, and the output is the captured iris data.

[0829] Step 3:

[0830] Sending iris data

[0831] The device captures iris data, encrypts it in real time using AES, and sends it to a security server. The server receives this data and begins matching it with a database. The input is the captured iris data, and the output is the encrypted data transmission.

[0832] Step 4:

[0833] Iris Recognition

[0834] The security server analyzes the received iris data and compares it with the registered iris database. If authentication is successful, the server sends a notification of successful authentication to the terminal. The input is encrypted iris data, and the output is the authentication result.

[0835] Step 5:

[0836] Screen data encryption and transmission

[0837] After the device receives a notification of successful authentication, it encrypts the PC screen data in real time using AES and sends it to the headset display. This allows the user to view the PC screen securely. The input is the successful authentication notification and the PC screen data, and the output is the transmission of the encrypted screen data.

[0838] Step 6:

[0839] Wearing status monitoring

[0840] The device uses sensors to constantly monitor whether the headset is being worn. If the headset is removed, the device immediately stops displaying the PC screen. The input is sensor data indicating the headset's wearing status, and the output is a control signal for the screen display.

[0841] Step 7:

[0842] Capturing Emotional Data

[0843] The headset captures the user's voice and facial expression data and sends them to the emotion analysis engine. Voice data is captured using a built-in microphone, and facial expression data is captured using a camera. The input is the user's voice and facial expression, and the output is the captured data.

[0844] Step 8:

[0845] Sentiment Analysis and Feedback

[0846] The emotion analysis engine analyzes the captured voice and facial expression data, determines the user's emotional state, and provides feedback to the device. The input is the captured emotional data, and the output is feedback of the emotional state.

[0847] Step 9:

[0848] Content Adjustment

[0849] The device adjusts the content displayed on the headset based on the analyzed emotion data. For example, if it determines that the user is feeling stressed, it provides a relaxing interface. The input is the result of emotion analysis, and the output is the adjusted content display.

[0850] (Application example 2)

[0851] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0852] Ensuring security and efficient work execution are key issues in today's remote work and online meetings. However, security vulnerabilities and user stress often become problems in these environments. In particular, for tasks that require high security, personal authentication and data encryption are important. Additionally, monitoring the user's emotional state and responding appropriately are also required. No system currently exists that combines these two elements, so a new solution is needed.

[0853] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for analyzing the user's emotions in real time using an emotion engine built into the headset, and means for adjusting the user interface based on the emotions. This makes it possible to manage both user security and emotions in real time.

[0854] A "headset" is a device worn by a user that provides visual and audio information.

[0855] "Biometric data" refers to data used for personal authentication, such as iris data obtained from the user's body.

[0856] A "server" is a computer system that analyzes biometric data and performs authentication.

[0857] "Authentication" is the process of verifying a user's identity based on their biometric data.

[0858] "Computer screen" refers to the screen display of a personal computer used for business or remote meetings.

[0859] The "wearing state" refers to whether the headset is worn correctly by the user.

[0860] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotions.

[0861] A "user interface" refers to the display screen and operating means used to exchange information between a computer and a user.

[0862] "Data encryption" is a technology that converts data into a form that is invisible to third parties.

[0863] "Analysis" is the process of examining data in detail and extracting information.

[0864] System Overview

[0865] This invention is a system that enables users to work and hold meetings in a remote environment while maintaining high security by using a headset worn by the user. This system verifies the user's identity through iris authentication, displays a secure screen, monitors the wearing status, and incorporates an emotion engine that recognizes the user's emotions.

[0866] composition

[0867] Headset: A device worn by the user that provides visual and audio information. It includes an iris camera, a voice-capturing microphone, and sensors that monitor wearability.

[0868] Iris camera: Built into the headset, it captures the user's iris data.

[0869] Security server: A computer system that analyzes biometric data and performs authentication.

[0870] Terminal: The computer that receives and sends data via the headset and security server.

[0871] Encryption: Technology that transforms data into a form that is invisible to third parties. For example, cryptography.fernet is used.

[0872] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0873] Emotion engine: A system that analyzes voice data and facial expression data to recognize emotions. For example, EmotionRecognizer is used.

[0874] Specific Embodiments

[0875] 1. Turn on the headset:

[0876] The user puts on the headset and turns it on. The device automatically connects to the security server. In this step, the iris camera and microphone are activated.

[0877] 2. Iris Recognition:

[0878] The iris camera captures the user's iris data, and the device sends this data to a security server. The security server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result. This allows the user to confirm whether they are a legitimate authenticated individual.

[0879] 3. Start screen display:

[0880] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display, enabling work and meetings to be conducted in a secure environment.

[0881] 4. Wearability monitoring:

[0882] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop, maintaining security.

[0883] 5. Activating the Emotion Engine:

[0884] The headset captures the user's voice and facial expression data and analyzes it with an emotion engine, which analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time.

[0885] 6. Sentiment Analysis Processing:

[0886] The emotion engine analyzes the user's emotions based on the captured data. For example, if the user is feeling stressed, the emotion engine analyzes the emotional data and automatically switches to a relaxation interface.

[0887] Specific usage examples and prompt sentence examples

[0888] Usage example:

[0889] In secure VVIP meetings, participants wear headsets and share data securely using iris recognition and encrypted communications. If emotions indicate stress during the meeting, the user interface automatically switches to relaxation mode.

[0890] Example prompt sentence:

[0891] A system that performs iris authentication on remote meeting participants to enable highly secure data sharing. It monitors the emotional state of participants during the meeting and switches to a relaxing UI if they show signs of stress. Please show us the specific implementation method and programming steps for this system.

[0892] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0893] Step 1:

[0894] The user puts on the headset and turns it on. The device detects the headset's activation signal and automatically connects to the security server, where the iris camera and microphone are activated. This process checks the headset's wearing status and operation status to ensure it is activated correctly.

[0895] Input: User puts on headset and powers it on.

[0896] Data processing: The headset is put on and an activation signal is sent to the device.

[0897] Output: Automatic connection to security server successful, iris camera and microphone are activated.

[0898] Step 2:

[0899] The iris camera captures the user's iris data, and the device sends this data to the security server. The server analyzes the iris data and compares it with a registered database. If the authentication is successful, the server notifies the device of the result. In this step, data transmission and analysis for authentication are performed.

[0900] Input: The user's iris data is captured.

[0901] Data processing: The captured iris data is encoded and sent to a security server, which checks it against a database for authentication.

[0902] Output: The authentication result is notified to the terminal.

[0903] Step 3:

[0904] If authentication is successful, the device receives authentication confirmation from the security server, encrypts the PC screen data, and sends it to the headset. The user can then view the PC screen through the headset display. In this step, data encryption and display processing are performed.

[0905] Input: Notification of authentication result.

[0906] Data processing: PC screen data is encrypted and sent to the headset.

[0907] Output: Allows users to view their PC screen through the headset.

[0908] Step 4:

[0909] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display is immediately stopped. In this step, the headset wearing status is monitored and the screen display is managed.

[0910] Input: Headset wearing status.

[0911] Data calculation: The sensor attached to the device monitors the data and stops displaying the data on the screen if the device is removed.

[0912] Output: When the headset is removed, the PC screen stops displaying.

[0913] Step 5:

[0914] The emotion engine in the headset captures and analyzes the user's voice and facial expression data. The emotion engine analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time. In this step, emotion data is captured and analyzed.

[0915] Input: User's voice and facial expression data.

[0916] Data calculation: The emotion engine analyzes the data and recognizes the user's emotions.

[0917] Output: The user's emotional state is recognized in real time.

[0918] Step 6:

[0919] Based on the analysis results of the emotion engine, the device adjusts the content displayed on the headset. For example, if the user is feeling stressed, it will provide a relaxing interface. In this step, the UI is adjusted based on the emotion recognition results.

[0920] Input: Analysis results from the emotion engine.

[0921] Data Computation: Adjusting the user interface based on the perceived emotional state.

[0922] Output: If you are feeling stressed, you will be presented with an interface that helps you relax.

[0923] 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.

[0924] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0925] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0926] [Third embodiment]

[0927] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0928] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0929] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0930] 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.

[0931] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0932] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0933] 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. 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.

[0934] 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.

[0935] 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 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.

[0936] 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.

[0937] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0938] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0939] System Overview

[0940] This invention is a system that enables users to work remotely while maintaining high security using a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset wearing status.

[0941] composition

[0942] Headset: A device worn by the user that provides visual and auditory information.

[0943] Iris camera: Built into the headset, it captures the user's iris data.

[0944] Security server: A computer system that analyzes biometric data and performs authentication.

[0945] Terminal: The computer that receives and sends data via the headset and security server.

[0946] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[0947] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[0948] Specific Embodiments

[0949] 1. Turn on the headset

[0950] The user puts on the headset and turns it on. The device automatically connects to the security server.

[0951] 2. Iris Recognition

[0952] The headset captures the user's iris, and the device sends this data to a security server. The server analyzes the iris data and compares it with a registered database. If authentication is successful, the server notifies the device of the result.

[0953] 3. Start of screen display

[0954] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[0955] 4. Monitoring of wearing status

[0956] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[0957] Specific examples

[0958] Scenario: "Remote handling of highly sensitive data"

[0959] 1. Start and connect

[0960] For example, if a worker handles highly confidential data, when the worker puts on the headset and turns it on, the device automatically connects to a security server.

[0961] 2. Authentication Process

[0962] The headset's iris camera captures the officer's iris data and sends it via the device to a security server, which analyzes the data and verifies the identity of the authorized user.

[0963] 3. Business Continuity

[0964] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[0965] 4. Monitoring and disconnecting the device

[0966] During work, the device constantly monitors whether the headset is being worn, and if the employee removes the headset, the device immediately stops displaying the screen, preventing the risk of information leaks.

[0967] As described above, the present invention is a specific system for realizing safe business operations in a remote environment while maintaining high security.

[0968] The processing flow will be explained below.

[0969] Step 1:

[0970] The user puts on the headset.

[0971] The user puts the headset on their head and turns it on.

[0972] Step 2:

[0973] The terminal establishes a connection to the security server.

[0974] The terminal automatically sends a connection request to the security server over the network.

[0975] Step 3:

[0976] The terminal displays an iris authentication prompt to the user.

[0977] Iris authentication instructions will appear on the headset's built-in display.

[0978] Step 4:

[0979] The terminal activates the iris camera and captures the user's iris data.

[0980] The headset's iris camera activates and captures the user's iris data in high resolution.

[0981] Step 5:

[0982] The device transmits the captured iris data to a security server.

[0983] The device encrypts the captured iris data and sends it to a security server.

[0984] Step 6:

[0985] The server analyzes the received iris data and performs authentication.

[0986] The server receives the iris data and compares it with a registered database to authenticate the user.

[0987] Step 7:

[0988] The server sends the authentication result to the terminal.

[0989] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[0990] Step 8:

[0991] The terminal notifies the user of the authentication result.

[0992] A message indicating authentication success or failure will appear on the headset display.

[0993] Step 9:

[0994] If authentication is successful, the device requests the PC's screen data from the server.

[0995] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[0996] Step 10:

[0997] The server sends the encrypted screen data to the terminal.

[0998] The server encrypts the PC screen data in real time and sends it to the terminal.

[0999] Step 11:

[1000] The device displays the encrypted screen data on the headset.

[1001] The device decodes the received data and displays it in real time on the headset display.

[1002] Step 12:

[1003] The device monitors whether the headset is being worn.

[1004] Sensors constantly monitor whether the headset is being worn correctly.

[1005] Step 13:

[1006] If the device is removed from the device, it will immediately stop displaying the PC screen.

[1007] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[1008] Example 1

[1009] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1010] When handling highly confidential information in a remote environment, there are challenges in verifying user identity and ensuring data security. Specifically, when users work remotely, it is necessary to prevent unauthorized access by third parties, monitor whether users are wearing headsets correctly, and prevent the leakage of confidential information. Data encryption is also required, and a system that allows users to view and manipulate data safely and securely is required.

[1011] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1012] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server via a terminal for authentication, means for encrypting and displaying a computer screen on the headset via the terminal if the authentication is successful, and means for constantly monitoring the wearing status of the headset and immediately stopping the display of the computer screen if the headset is removed. This makes it possible to safely handle data while maintaining high security even in a remote environment.

[1013] "Biometric data" refers to data based on the user's biometric information, and particularly includes iris data.

[1014] A "terminal" is a computing device that sends and receives data between the headset and the server.

[1015] A "server" is a computer system that analyzes biometric data and performs authentication.

[1016] A "headset" is a device worn by a user that provides visual and audio information.

[1017] "Iris data" is biometric data that captures information from the user's iris.

[1018] "Encryption" is a technology that converts data into a form that is invisible to third parties and is used to ensure data security.

[1019] "Wearing status monitoring" is the process of monitoring whether the headset is being worn correctly by the user.

[1020] "Authentication" is the process of verifying a user by analyzing the user's biometric data and comparing it with registered data.

[1021] "Computer screen" means the display screen of a PC or other computing device.

[1022] "Unplugged" refers to the state when the headset is removed from the user's head.

[1023] System Overview

[1024] This invention is a system that uses a headset worn by the user to perform work in a remote environment while maintaining high security. Specific functions include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[1025] composition

[1026] Headset: A device worn by a user that provides visual and auditory information.

[1027] Iris camera: Built into the headset, it captures the user's iris data.

[1028] Security server: A computer system that analyzes biometric data and performs authentication.

[1029] Device: The computer that sends and receives data between the headset and the security server.

[1030] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[1031] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1032] Specific operation procedures and processing overview

[1033] 1. Turn on and connect the headset

[1034] The user puts on the headset and turns it on. After the device starts up, it automatically connects to the security server. Specifically, once a network connection is established, the device sends a login request to the security server using the server's IP address and authentication information.

[1035] 2. Capturing and transmitting iris data

[1036] The user fixates their gaze on the headset's iris camera, which captures the user's iris data at a high frame rate, and the device encrypts this data before sending it to a security server.

[1037] 3. Performing Iris Recognition

[1038] The server analyzes the received iris data using an iris analysis algorithm, and compares the data with a database. If authentication is successful, the result is notified to the device.

[1039] 4. Start secure screen display

[1040] If the terminal receives the authentication status and the authentication is successful, the PC screen data is encrypted in real time and sent to the headset, allowing the user to view the PC screen through the headset display.

[1041] 5. Monitoring of wearing status

[1042] The device uses a sensor to constantly monitor whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop. Re-authentication will be performed when the headset is put back on.

[1043] Specific examples

[1044] Scenario: "Remote handling of highly sensitive data"

[1045] 1. Start and connect

[1046] When a person handling highly confidential data puts on the headset and turns it on, the device automatically connects to the security server, completing the automatic connection within a few seconds.

[1047] 2. Authentication Process

[1048] The device captures the iris data of the person in charge using the headset's iris camera and sends it to the server, which analyzes the data and notifies the authentication result within a few seconds.

[1049] 3. Business Continuity

[1050] After successful authentication, the device encrypts the PC screen and transmits it to the headset, allowing the employee to safely view the client's personal information through the headset while continuing their work.

[1051] 4. Monitoring and disconnecting the device

[1052] The device constantly monitors whether the headset is being worn, and if the person in charge removes the headset, the display on the PC screen immediately stops. When the headset is put back on, the authentication process is repeated.

[1053] Example prompts for generative AI models

[1054] You can generate a system description using the following prompt:

[1055] Example prompt:

[1056] "Please explain the features of a highly secure system that utilizes a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status."

[1057] This prompt sentence makes it possible to briefly explain the functional overview and operating procedures of the generated system in natural language.

[1058] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1059] Step 1:

[1060] Headset startup and initial connection

[1061] The user puts on the headset and turns it on. The headset is powered on and the internal system starts up. The device then automatically attempts to connect to the security server via the headset's communications module. Specifically, it establishes a network connection and sends a login request to the security server using the server's IP address and authentication information.

[1062] Input: Headset activation, user operation

[1063] Output: Connection request to security server

[1064] Step 2:

[1065] Iris data capture and transmission

[1066] The user puts on the headset and fixes their gaze. The iris camera captures the user's iris data. Specifically, the camera rapidly captures several iris images and converts them into digital data. The device then encrypts the captured iris data and sends it to a security server.

[1067] Input: User's iris data

[1068] Output: Encrypted iris data to the server

[1069] Step 3:

[1070] Performing iris recognition

[1071] The server analyzes the received iris data. Specifically, it uses an iris analysis algorithm to compare the received data with the user's iris data registered in a database. The server determines whether the authentication was successful or failed as a result of the analysis and notifies the terminal of the result.

[1072] Input: Encrypted iris data

[1073] Output: Authentication result (success or failure)

[1074] Step 4:

[1075] Start Secure Screen View

[1076] The device receives the authentication result, and if authentication is successful, it acquires the screen data from the PC. The device then encrypts this screen data in real time and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1077] Input: Authentication success result, PC screen data

[1078] Output: Encrypted screen data, displayed on headset

[1079] Step 5:

[1080] Wearing status monitoring

[1081] The device constantly monitors the headset's wearing status. Specifically, a sensor for monitoring the wearing status measures the headset's position and angle and evaluates the wearing status in real time. If the headset is removed, the device immediately stops displaying the PC screen. Furthermore, if the headset is put back on, a re-authentication procedure is performed.

[1082] Input: Headset wearing status data

[1083] Output: Stops PC screen display or starts re-authentication procedure

[1084] This processing flow allows the system to maintain high security while allowing users to work safely in a remote environment.

[1085] (Application example 1)

[1086] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1087] In conventional remote work environments, it has been extremely difficult to safely handle highly confidential data and personal information. In particular, many issues remain regarding the reliability of identity authentication and data protection. Furthermore, the risk of unauthorized access in remote environments and the difficulty of monitoring device wearing status have increased security threats.

[1088] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1089] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server and performing authentication, means for displaying the screen of an electronic device through the headset if the authentication is successful, means for encrypting the screen data of the electronic device, and means for monitoring the wearing status of the headset and stopping the display of the screen of the electronic device if the headset is removed. This makes it possible to safely handle highly confidential data and personal information and minimize the risk of unauthorized access.

[1090] A "headset" is a device worn by a user that provides visual and audio information.

[1091] "Biometric data" refers to data used to identify an individual user, and in the present invention, it primarily refers to iris data.

[1092] A "server" is a computer system that sends and receives data over a network and provides functions such as authentication and analysis.

[1093] "Authentication" is the process of verifying that a user is a legitimate person, and in the present invention, iris authentication is mainly used.

[1094] "Electronic device screen" refers to the screen of the device that displays information that the user uses to work, and this information is provided through the headset.

[1095] "Encryption" is the process of converting data into a form that is invisible to third parties, and is a means of ensuring data security.

[1096] "Wearing status monitoring" is the process of detecting whether the headset is being worn correctly by the user.

[1097] MODE FOR CARRYING OUT THE INVENTION

[1098] System Configuration

[1099] This invention is a system that allows users to work in a remote environment while maintaining high security by using a headset worn by the user. Details of each hardware and software component and specific processing contents are described below.

[1100] Program generation and explanation

[1101] Hardware configuration:

[1102] 1. Headset: A device worn by the user that provides visual and auditory information and includes a built-in iris camera and sensors to monitor wearability.

[1103] 2. Terminal: A computer that receives and transmits data via a headset and a security server. In particular, a smartphone is used as a terminal.

[1104] 3. Security Server: A computer system that analyzes iris data and performs authentication.

[1105] 4. Encryption: Software that converts data into a form that is invisible to third parties.

[1106] Software configuration:

[1107] 1. Python: A programming language for operations.

[1108] 2. OpenCV: A library used to capture and process camera data.

[1109] 3. requests: An HTTP library for sending and receiving data.

[1110] 4. pycryptodome: A library for data encryption.

[1111] Headset Startup and Authentication

[1112] Start and connect:

[1113] When a user puts on the headset and turns on the device, it automatically connects to the security server, and the headset's built-in iris camera captures the user's iris data.

[1114] Iris recognition and data transmission:

[1115] The device sends the captured iris data to a security server, which analyzes the data and compares it with a pre-registered database. If authentication is successful, the server notifies the device of the result.

[1116] Screen Display and Monitoring

[1117] Start screen display:

[1118] If authentication is successful, the device encrypts the screen data obtained from the electronic device and sends it to the headset, allowing the user to safely view and operate the business application screen through the headset display.

[1119] Wearability monitoring:

[1120] The device constantly monitors whether the headset is being worn correctly. If the headset wearing status monitoring sensor detects that the headset has been removed, the device immediately stops displaying the screen, preventing the risk of information leakage.

[1121] Examples of specific examples and prompts

[1122] Examples:

[1123] For example, there is a sales representative who handles personal information of customers. After the representative puts on the headset and performs iris authentication, important data, including personal information, can be securely accessed remotely. If the headset is removed during work, the screen display immediately stops, preventing the risk of information leaks.

[1124] Example prompt sentence:

[1125] "Tell us a scenario where you need to handle highly sensitive data remotely and securely. For example, imagine a scenario where a user puts on a smartphone headset and uses iris recognition to securely access information."

[1126] As described above, the present invention provides a highly secure system that functions effectively in a variety of remote environments.

[1127] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1128] Step 1:

[1129] When a user puts on a headset and turns on the device, the device automatically connects to the security server. The input is the power-on and connection request, and the output is a notification that the connection has been completed to the security server.

[1130] Step 2:

[1131] An iris camera built into the headset captures the user's iris data. This data is sent to the device, which then forwards it to a security server. The input is the captured iris data, and the output is the iris data sent to the server.

[1132] Step 3:

[1133] The security server analyzes the received iris data and performs authentication by comparing it with a pre-registered database. Based on this process, the server generates an authentication result and notifies the terminal. The input is the transmitted iris data, and the output is the authentication result.

[1134] Step 4:

[1135] Based on the authentication result received from the security server, the terminal obtains and encrypts the screen data of the electronic device only if authentication is successful. The input is a successful authentication notification and the screen data, and the output is the encrypted screen data.

[1136] Step 5:

[1137] The encrypted screen data is sent from the terminal to the headset and displayed on the headset display. The input is the encrypted screen data, and the output is the display on the headset display.

[1138] Step 6:

[1139] The device constantly monitors the headset's wearing status. The wearing status monitoring sensor checks whether the headset is being worn properly, and immediately stops the screen display if the headset is removed. The input is the wearing status sensor data, and the output is the screen display status (displaying or stopped).

[1140] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1141] System Overview

[1142] This invention is a system that utilizes a headset worn by the user to perform work in a remote environment while maintaining high security. The system is equipped with an emotion engine that recognizes the user's emotions, in addition to identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[1143] composition

[1144] Headset: A device worn by the user that provides visual and auditory information.

[1145] Iris camera: Built into the headset, it captures the user's iris data.

[1146] Security server: A computer system that analyzes biometric data and performs authentication.

[1147] Terminal: The computer that receives and sends data via the headset and security server.

[1148] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[1149] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1150] Emotion engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[1151] Specific Embodiments

[1152] 1. Turn on the headset

[1153] The user puts on the headset and turns it on. The device automatically connects to the security server.

[1154] 2. Iris Recognition

[1155] The iris camera captures the user's iris data, which the device then sends to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[1156] 3. Start of screen display

[1157] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1158] 4. Monitoring of wearing status

[1159] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[1160] 5. Activating the Emotional Engine

[1161] The headset captures the user's voice and facial expression data and analyzes it using an emotion engine.

[1162] 6. Sentiment Analysis Processing

[1163] The emotion engine analyzes the user's emotions based on the captured data, which are reflected in the content display and feedback.

[1164] 7. Content Adjustment

[1165] Based on the emotion recognized, the device will adjust the content displayed in the headset, for example, if you are feeling stressed, it will present a relaxing interface.

[1166] Specific examples

[1167] Scenario: "Remotely handling highly sensitive data while simultaneously monitoring user emotions"

[1168] 1. Start and connect

[1169] When a worker puts on the headset and turns it on, the device connects to the security server.

[1170] 2. Authentication Process

[1171] The iris camera captures the iris data of the person in charge and sends it to the security server via the terminal, which analyzes the data and verifies that the user is legitimate.

[1172] 3. Business Continuity

[1173] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[1174] 4. Monitoring and disconnecting the device

[1175] During work, the headset status is constantly monitored, and if it is removed, the display on the PC screen immediately stops.

[1176] 5. Emotion Monitoring

[1177] The emotion engine captures and analyzes the voice and facial expressions of the employee while they are working. For example, if they become tense while handling crime prevention information, the interface will automatically switch to a more relaxed one.

[1178] In this way, the present invention provides a system that utilizes user emotion recognition to further facilitate work in a remote environment while maintaining high security.

[1179] The processing flow will be explained below.

[1180] Step 1:

[1181] The user puts on the headset.

[1182] The user puts the headset on their head and turns it on.

[1183] Step 2:

[1184] The terminal establishes a connection to the security server.

[1185] The terminal automatically sends a connection request to the security server over the network.

[1186] Step 3:

[1187] The terminal displays an iris authentication prompt to the user.

[1188] Iris authentication instructions will appear on the headset's built-in display.

[1189] Step 4:

[1190] The terminal activates the iris camera and captures the user's iris data.

[1191] The headset's iris camera activates and captures the user's iris data in high resolution.

[1192] Step 5:

[1193] The device transmits the captured iris data to a security server.

[1194] The device encrypts the captured iris data and sends it to a security server.

[1195] Step 6:

[1196] The server analyzes the received iris data and performs authentication.

[1197] The server receives the iris data and compares it with a registered database to authenticate the user.

[1198] Step 7:

[1199] The server sends the authentication result to the terminal.

[1200] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[1201] Step 8:

[1202] The terminal notifies the user of the authentication result.

[1203] A message indicating authentication success or failure will appear on the headset display.

[1204] Step 9:

[1205] If authentication is successful, the device requests the PC's screen data from the server.

[1206] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[1207] Step 10:

[1208] The server sends the encrypted screen data to the terminal.

[1209] The server encrypts the PC screen data in real time and sends it to the terminal.

[1210] Step 11:

[1211] The device displays the encrypted screen data on the headset.

[1212] The device decodes the received data and displays it in real time on the headset display.

[1213] Step 12:

[1214] The device monitors whether the headset is being worn.

[1215] Sensors constantly monitor whether the headset is being worn correctly.

[1216] Step 13:

[1217] If the device is removed from the device, it will immediately stop displaying the PC screen.

[1218] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[1219] Step 14:

[1220] The headset captures the user's voice and facial expression data.

[1221] The headset's microphone and camera capture the user's voice and facial expressions in real time.

[1222] Step 15:

[1223] The device sends the captured data to the emotion engine.

[1224] The terminal transmits the voice data and the facial expression data to the emotion engine.

[1225] Step 16:

[1226] The emotion engine analyzes the user's emotions.

[1227] The emotion engine analyzes the user's emotions based on the received data and sends the results to the device.

[1228] Step 17:

[1229] The device adjusts the content displayed on the headset based on the analysis results.

[1230] If the user is feeling stressed, the device will adjust the display, for example by changing the interface to one that is more relaxing.

[1231] Example 2

[1232] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1233] In today's remote work environments, it is necessary to handle highly confidential data while maintaining high security. However, conventional systems have limitations in user authentication and screen display security, and also lack the ability to monitor the user's emotional state. This makes it difficult to reduce the burden on users and improve work efficiency.

[1234] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for capturing the user's voice data and facial expression data and transmitting them to an emotion analysis engine, means for the emotion analysis engine to analyze the voice data and the facial expression data and provide feedback on the user's emotional state, and means for adjusting content based on the results of the emotion analysis. This enables remote work that takes the user's emotional state into consideration while maintaining high security.

[1235] "Biometric data" means data based on physical characteristics used for the identification or authentication of an individual.

[1236] A "headset" is a device worn on a user's head that provides visual and audio information.

[1237] "Iris data" is data containing unique identification information obtained from the iris portion of a user's eye.

[1238] A "server" is a computer system that stores, manages, analyzes, and provides data on a network.

[1239] "Terminal" refers to a computer or other electronic device used by a User.

[1240] "Encryption" is a technology that converts data in one direction to protect it from unauthorized access or tampering by third parties.

[1241] "Monitoring the wearing status" is a process in which a sensor or the like is used to detect whether the headset is being worn correctly by the user.

[1242] An "emotion analysis engine" is a system that analyzes voice data and facial expression data to recognize the user's emotional state.

[1243] "Feedback" is the process by which the system returns analysis results or operation results to the user.

[1244] "Content adjustment" refers to the operation of adapting the displayed information or interface based on the user's emotional state.

[1245] "TLS" is a cryptographic protocol for protecting data at the transport layer.

[1246] "AES" stands for Advanced Encryption Standard, an algorithm used to encrypt data.

[1247] This invention is a system that enables users to work remotely while maintaining high security using a headset. The system includes iris authentication for identity verification, secure screen display, monitoring of headset wear status, and an emotion analysis engine that recognizes the user's emotions.

[1248] composition

[1249] The system consists of the following hardware and software:

[1250] Headset: A device worn by the user that provides visual and auditory information.

[1251] Iris camera: Built into the headset, it captures the user's iris data.

[1252] Security server: A computer system that analyzes biometric data and performs authentication.

[1253] Device: The computer that receives and sends data via the headset and security server.

[1254] Encryption function: A technology that converts data into a form that cannot be seen by third parties. AES encryption is used here.

[1255] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1256] Emotion analysis engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[1257] Specific Examples

[1258] 1. Turn on the headset

[1259] The user puts on the headset and turns it on, which automatically connects the device to the security server.

[1260] 2. Iris Recognition

[1261] The iris camera captures the user's iris data. The device sends the captured data to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[1262] 3. Start of screen display

[1263] If authentication is successful, the device encrypts the PC screen data using AES and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1264] 4. Monitoring of wearing status

[1265] The device constantly uses sensors to monitor whether the headset is being worn correctly, and if the headset is removed, the device immediately stops displaying the PC screen.

[1266] 5. Start sentiment analysis

[1267] The headset captures the user's voice and facial expression data, analyzes it using an emotion analysis engine, and feeds the analysis results back to the device.

[1268] 6. Emotional Feedback

[1269] Based on the analyzed emotional data, the device can adjust the content displayed in the headset, for example, displaying a relaxing interface if the user is feeling stressed.

[1270] Prompt Sentence Examples

[1271] For example: "Describe how you can recognize user emotions in real time and adjust the interface as needed when working with highly sensitive data remotely."

[1272] As a result, the present invention simultaneously provides users with safety and emotional comfort, enabling highly secure remote work.

[1273] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1274] Program processing flow

[1275] Step 1:

[1276] Starting up the headset

[1277] The user puts on the headset and turns it on. This starts the headset and displays the initial screen. The device detects this start-up signal and automatically initiates a secure connection to the security server using the HTTPS protocol. The input is the user's start-up operation, and the output is a connection signal to the security server.

[1278] Step 2:

[1279] Iris Data Capture

[1280] The iris camera built into the headset captures the user's iris data. When the user looks at the camera, the camera automatically captures an iris image and transmits the data to the device. The input is the user's iris information, and the output is the captured iris data.

[1281] Step 3:

[1282] Sending iris data

[1283] The device captures iris data, encrypts it in real time using AES, and sends it to a security server. The server receives this data and begins matching it with a database. The input is the captured iris data, and the output is the encrypted data transmission.

[1284] Step 4:

[1285] Iris Recognition

[1286] The security server analyzes the received iris data and compares it with the registered iris database. If authentication is successful, the server sends a notification of successful authentication to the terminal. The input is encrypted iris data, and the output is the authentication result.

[1287] Step 5:

[1288] Screen data encryption and transmission

[1289] After the device receives a successful authentication notification, it encrypts the PC screen data in real time using AES and sends it to the headset display. This allows the user to view the PC screen securely. The input is the successful authentication notification and the PC screen data, and the output is the transmission of the encrypted screen data.

[1290] Step 6:

[1291] Wearing status monitoring

[1292] The device uses sensors to constantly monitor whether the headset is being worn. If the headset is removed, the device immediately stops displaying the PC screen. The input is sensor data indicating the headset's wearing status, and the output is a control signal for the screen display.

[1293] Step 7:

[1294] Capturing Emotional Data

[1295] The headset captures the user's voice and facial expression data and sends them to the emotion analysis engine. Voice data is captured using a built-in microphone, and facial expression data is captured using a camera. The input is the user's voice and facial expression, and the output is the captured data.

[1296] Step 8:

[1297] Sentiment Analysis and Feedback

[1298] The emotion analysis engine analyzes the captured voice and facial expression data, determines the user's emotional state, and provides feedback to the device. The input is the captured emotional data, and the output is feedback of the emotional state.

[1299] Step 9:

[1300] Content Adjustment

[1301] The device adjusts the content displayed on the headset based on the analyzed emotion data. For example, if it determines that the user is feeling stressed, it provides a relaxing interface. The input is the result of emotion analysis, and the output is the adjusted content display.

[1302] (Application example 2)

[1303] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1304] Ensuring security and efficient work execution are key issues in today's remote work and online meetings. However, security vulnerabilities and user stress often become problems in these environments. In particular, for tasks that require high security, personal authentication and data encryption are important. Additionally, monitoring the user's emotional state and responding appropriately are also required. No system currently exists that combines these two elements, so a new solution is needed.

[1305] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for analyzing the user's emotions in real time using an emotion engine built into the headset, and means for adjusting the user interface based on the emotions. This makes it possible to manage both user security and emotions in real time.

[1306] A "headset" is a device worn by a user that provides visual and audio information.

[1307] "Biometric data" refers to data used for personal authentication, such as iris data obtained from the user's body.

[1308] A "server" is a computer system that analyzes biometric data and performs authentication.

[1309] "Authentication" is the process of verifying a user's identity based on their biometric data.

[1310] "Computer screen" refers to the screen display of a personal computer used for business or remote meetings.

[1311] The "wearing state" refers to whether the headset is worn correctly by the user.

[1312] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotions.

[1313] A "user interface" refers to the display screen and operating means used to exchange information between a computer and a user.

[1314] "Data encryption" is a technology that converts data into a form that is invisible to third parties.

[1315] "Analysis" is the process of examining data in detail and extracting information.

[1316] System Overview

[1317] This invention is a system that enables users to work and hold meetings in a remote environment while maintaining high security by using a headset worn by the user. This system verifies the user's identity through iris authentication, displays a secure screen, monitors the wearing status, and incorporates an emotion engine that recognizes the user's emotions.

[1318] composition

[1319] Headset: A device worn by the user that provides visual and audio information. It includes an iris camera, a voice-capturing microphone, and sensors that monitor wearability.

[1320] Iris camera: Built into the headset, it captures the user's iris data.

[1321] Security server: A computer system that analyzes biometric data and performs authentication.

[1322] Terminal: The computer that receives and sends data via the headset and security server.

[1323] Encryption: Technology that transforms data into a form that is invisible to third parties. For example, cryptography.fernet is used.

[1324] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1325] Emotion engine: A system that analyzes voice data and facial expression data to recognize emotions. For example, EmotionRecognizer is used.

[1326] Specific Embodiments

[1327] 1. Turn on the headset:

[1328] The user puts on the headset and turns it on. The device automatically connects to the security server. In this step, the iris camera and microphone are activated.

[1329] 2. Iris Recognition:

[1330] The iris camera captures the user's iris data, and the device sends this data to a security server. The security server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result. This allows the user to confirm whether they are a legitimate authenticated individual.

[1331] 3. Start screen display:

[1332] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display, enabling work and meetings to be conducted in a secure environment.

[1333] 4. Wearability monitoring:

[1334] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop, maintaining security.

[1335] 5. Activating the Emotion Engine:

[1336] The headset captures the user's voice and facial expression data and analyzes it with an emotion engine, which analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time.

[1337] 6. Sentiment Analysis Processing:

[1338] The emotion engine analyzes the user's emotions based on the captured data. For example, if the user is feeling stressed, the emotion engine analyzes the emotional data and automatically switches to a relaxation interface.

[1339] Specific usage examples and prompt sentence examples

[1340] Usage example:

[1341] In secure VVIP meetings, participants wear headsets and share data securely using iris recognition and encrypted communications. If emotions indicate stress during the meeting, the user interface automatically switches to relaxation mode.

[1342] Example prompt sentence:

[1343] A system that performs iris authentication on remote meeting participants to enable highly secure data sharing. It monitors the emotional state of participants during the meeting and switches to a relaxing UI if they show signs of stress. Please show us the specific implementation method and programming steps for this system.

[1344] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1345] Step 1:

[1346] The user puts on the headset and turns it on. The device detects the headset's activation signal and automatically connects to the security server, where the iris camera and microphone are activated. This process checks the headset's wearing status and operation status to ensure it is activated correctly.

[1347] Input: User puts on headset and powers it on.

[1348] Data processing: The headset is put on and an activation signal is sent to the device.

[1349] Output: Automatic connection to security server successful, iris camera and microphone are activated.

[1350] Step 2:

[1351] The iris camera captures the user's iris data, and the device sends this data to the security server. The server analyzes the iris data and compares it with a registered database. If the authentication is successful, the server notifies the device of the result. In this step, data transmission and analysis for authentication are performed.

[1352] Input: The user's iris data is captured.

[1353] Data processing: The captured iris data is encoded and sent to a security server, which checks it against a database for authentication.

[1354] Output: The authentication result is notified to the terminal.

[1355] Step 3:

[1356] If authentication is successful, the device receives authentication confirmation from the security server, encrypts the PC screen data, and sends it to the headset. The user can then view the PC screen through the headset display. In this step, data encryption and display processing are performed.

[1357] Input: Notification of authentication result.

[1358] Data processing: PC screen data is encrypted and sent to the headset.

[1359] Output: Allows users to view their PC screen through the headset.

[1360] Step 4:

[1361] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display is immediately stopped. In this step, the headset wearing status is monitored and the screen display is managed.

[1362] Input: Headset wearing status.

[1363] Data calculation: The sensor attached to the device monitors the data and stops displaying the data on the screen if the device is removed.

[1364] Output: When the headset is removed, the PC screen stops displaying.

[1365] Step 5:

[1366] The emotion engine in the headset captures and analyzes the user's voice and facial expression data. The emotion engine analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time. In this step, emotion data is captured and analyzed.

[1367] Input: User's voice and facial expression data.

[1368] Data calculation: The emotion engine analyzes the data and recognizes the user's emotions.

[1369] Output: The user's emotional state is recognized in real time.

[1370] Step 6:

[1371] Based on the analysis results of the emotion engine, the device adjusts the content displayed on the headset. For example, if the user is feeling stressed, it will provide a relaxing interface. In this step, the UI is adjusted based on the emotion recognition results.

[1372] Input: Analysis results from the emotion engine.

[1373] Data Computation: Adjusting the user interface based on the perceived emotional state.

[1374] Output: If you are feeling stressed, you will be presented with an interface that helps you relax.

[1375] 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.

[1376] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1377] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1378] [Fourth embodiment]

[1379] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1380] 7, a 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.

[1381] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1382] 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.

[1383] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1384] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1385] 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. 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.

[1386] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1387] 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.

[1388] 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 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.

[1389] 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.

[1390] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1391] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1392] System Overview

[1393] This invention is a system that enables users to work remotely while maintaining high security using a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset wearing status.

[1394] composition

[1395] Headset: A device worn by the user that provides visual and auditory information.

[1396] Iris camera: Built into the headset, it captures the user's iris data.

[1397] Security server: A computer system that analyzes biometric data and performs authentication.

[1398] Terminal: The computer that receives and sends data via the headset and security server.

[1399] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[1400] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1401] Specific Embodiments

[1402] 1. Turn on the headset

[1403] The user puts on the headset and turns it on. The device automatically connects to the security server.

[1404] 2. Iris Recognition

[1405] The headset captures the user's iris, and the device sends this data to a security server. The server analyzes the iris data and compares it with a registered database. If authentication is successful, the server notifies the device of the result.

[1406] 3. Start of screen display

[1407] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1408] 4. Monitoring of wearing status

[1409] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[1410] Specific examples

[1411] Scenario: "Remote handling of highly sensitive data"

[1412] 1. Start and connect

[1413] For example, if a worker handles highly confidential data, when the worker puts on the headset and turns it on, the device automatically connects to a security server.

[1414] 2. Authentication Process

[1415] The headset's iris camera captures the officer's iris data and sends it via the device to a security server, which analyzes the data and verifies the identity of the authorized user.

[1416] 3. Business Continuity

[1417] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[1418] 4. Monitoring and disconnecting the device

[1419] During work, the device constantly monitors whether the headset is being worn, and if the employee removes the headset, the device immediately stops displaying the screen, preventing the risk of information leaks.

[1420] As described above, the present invention is a specific system for realizing safe business operations in a remote environment while maintaining high security.

[1421] The processing flow will be explained below.

[1422] Step 1:

[1423] The user puts on the headset.

[1424] The user puts the headset on their head and turns it on.

[1425] Step 2:

[1426] The terminal establishes a connection to the security server.

[1427] The terminal automatically sends a connection request to the security server over the network.

[1428] Step 3:

[1429] The terminal displays an iris authentication prompt to the user.

[1430] Iris authentication instructions will appear on the headset's built-in display.

[1431] Step 4:

[1432] The terminal activates the iris camera and captures the user's iris data.

[1433] The headset's iris camera activates and captures the user's iris data in high resolution.

[1434] Step 5:

[1435] The device transmits the captured iris data to a security server.

[1436] The device encrypts the captured iris data and sends it to a security server.

[1437] Step 6:

[1438] The server analyzes the received iris data and performs authentication.

[1439] The server receives the iris data and compares it with a registered database to authenticate the user.

[1440] Step 7:

[1441] The server sends the authentication result to the terminal.

[1442] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[1443] Step 8:

[1444] The terminal notifies the user of the authentication result.

[1445] A message indicating authentication success or failure will appear on the headset display.

[1446] Step 9:

[1447] If authentication is successful, the device requests the PC's screen data from the server.

[1448] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[1449] Step 10:

[1450] The server sends the encrypted screen data to the terminal.

[1451] The server encrypts the PC screen data in real time and sends it to the terminal.

[1452] Step 11:

[1453] The device displays the encrypted screen data on the headset.

[1454] The device decodes the received data and displays it in real time on the headset display.

[1455] Step 12:

[1456] The device monitors whether the headset is being worn.

[1457] Sensors constantly monitor whether the headset is being worn correctly.

[1458] Step 13:

[1459] If the device is removed from the device, it will immediately stop displaying the PC screen.

[1460] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[1461] Example 1

[1462] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1463] When handling highly confidential information in a remote environment, there are challenges in verifying user identity and ensuring data security. Specifically, when users work remotely, it is necessary to prevent unauthorized access by third parties, monitor whether users are wearing headsets correctly, and prevent the leakage of confidential information. Data encryption is also required, and a system that allows users to view and manipulate data safely and securely is required.

[1464] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1465] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server via a terminal for authentication, means for encrypting and displaying a computer screen on the headset via the terminal if the authentication is successful, and means for constantly monitoring the wearing status of the headset and immediately stopping the display of the computer screen if the headset is removed. This makes it possible to safely handle data while maintaining high security even in a remote environment.

[1466] "Biometric data" refers to data based on the user's biometric information, and particularly includes iris data.

[1467] A "terminal" is a computing device that sends and receives data between the headset and the server.

[1468] A "server" is a computer system that analyzes biometric data and performs authentication.

[1469] A "headset" is a device worn by a user that provides visual and audio information.

[1470] "Iris data" is biometric data that captures information from the user's iris.

[1471] "Encryption" is a technology that converts data into a form that is invisible to third parties and is used to ensure data security.

[1472] "Wearing status monitoring" is the process of monitoring whether the headset is being worn correctly by the user.

[1473] "Authentication" is the process of verifying a user by analyzing the user's biometric data and comparing it with registered data.

[1474] "Computer screen" means the display screen of a PC or other computing device.

[1475] "Unplugged" refers to the state when the headset is removed from the user's head.

[1476] System Overview

[1477] This invention is a system that uses a headset worn by the user to perform work in a remote environment while maintaining high security. Specific functions include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[1478] composition

[1479] Headset: A device worn by a user that provides visual and auditory information.

[1480] Iris camera: Built into the headset, it captures the user's iris data.

[1481] Security server: A computer system that analyzes biometric data and performs authentication.

[1482] Device: The computer that sends and receives data between the headset and the security server.

[1483] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[1484] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1485] Specific operation procedures and processing overview

[1486] 1. Turn on and connect the headset

[1487] The user puts on the headset and turns it on. After the device starts up, it automatically connects to the security server. Specifically, once a network connection is established, the device sends a login request to the security server using the server's IP address and authentication information.

[1488] 2. Capturing and transmitting iris data

[1489] The user fixates their gaze on the headset's iris camera, which captures the user's iris data at a high frame rate, and the device encrypts this data before sending it to a security server.

[1490] 3. Performing Iris Recognition

[1491] The server analyzes the received iris data using an iris analysis algorithm, and compares the data with a database. If authentication is successful, the result is notified to the device.

[1492] 4. Start secure screen display

[1493] If the terminal receives the authentication status and the authentication is successful, the PC screen data is encrypted in real time and sent to the headset, allowing the user to view the PC screen through the headset display.

[1494] 5. Monitoring of wearing status

[1495] The device uses a sensor to constantly monitor whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop. Re-authentication will be performed when the headset is put back on.

[1496] Specific examples

[1497] Scenario: "Remote handling of highly sensitive data"

[1498] 1. Start and connect

[1499] When a person handling highly confidential data puts on the headset and turns it on, the device automatically connects to the security server, completing the automatic connection within a few seconds.

[1500] 2. Authentication Process

[1501] The device captures the iris data of the person in charge using the headset's iris camera and sends it to the server, which analyzes the data and notifies the authentication result within a few seconds.

[1502] 3. Business Continuity

[1503] After successful authentication, the device encrypts the PC screen and transmits it to the headset, allowing the employee to safely view the client's personal information through the headset while continuing their work.

[1504] 4. Monitoring and disconnecting the device

[1505] The device constantly monitors whether the headset is being worn, and if the person in charge removes the headset, the display on the PC screen immediately stops. When the headset is put back on, the authentication process is repeated.

[1506] Example prompts for generative AI models

[1507] You can generate a system description using the following prompt:

[1508] Example prompt:

[1509] "Please explain the features of a highly secure system that utilizes a headset worn by the user. The main functions of this system include identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status."

[1510] This prompt sentence makes it possible to briefly explain the functional overview and operating procedures of the generated system in natural language.

[1511] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1512] Step 1:

[1513] Headset startup and initial connection

[1514] The user puts on the headset and turns it on. The headset is powered on and the internal system starts up. The device then automatically attempts to connect to the security server via the headset's communications module. Specifically, it establishes a network connection and sends a login request to the security server using the server's IP address and authentication information.

[1515] Input: Headset activation, user operation

[1516] Output: Connection request to security server

[1517] Step 2:

[1518] Iris data capture and transmission

[1519] The user puts on the headset and fixes their gaze. The iris camera captures the user's iris data. Specifically, the camera rapidly captures several iris images and converts them into digital data. The device then encrypts the captured iris data and sends it to a security server.

[1520] Input: User's iris data

[1521] Output: Encrypted iris data to the server

[1522] Step 3:

[1523] Performing iris recognition

[1524] The server analyzes the received iris data. Specifically, it uses an iris analysis algorithm to compare the received data with the user's iris data registered in a database. The server determines whether the authentication was successful or failed as a result of the analysis and notifies the terminal of the result.

[1525] Input: Encrypted iris data

[1526] Output: Authentication result (success or failure)

[1527] Step 4:

[1528] Start Secure Screen View

[1529] The device receives the authentication result, and if authentication is successful, it acquires the screen data from the PC. The device then encrypts this screen data in real time and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1530] Input: Authentication success result, PC screen data

[1531] Output: Encrypted screen data, displayed on headset

[1532] Step 5:

[1533] Wearing status monitoring

[1534] The device constantly monitors the headset's wearing status. Specifically, a sensor for monitoring the wearing status measures the headset's position and angle and evaluates the wearing status in real time. If the headset is removed, the device immediately stops displaying the PC screen. Furthermore, if the headset is put back on, a re-authentication procedure is performed.

[1535] Input: Headset wearing status data

[1536] Output: Stops PC screen display or starts re-authentication procedure

[1537] This processing flow allows the system to maintain high security while allowing users to work safely in a remote environment.

[1538] (Application example 1)

[1539] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1540] In conventional remote work environments, it has been extremely difficult to safely handle highly confidential data and personal information. In particular, many issues remain regarding the reliability of identity authentication and data protection. Furthermore, the risk of unauthorized access in remote environments and the difficulty of monitoring device wearing status have increased security threats.

[1541] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1542] In this invention, the server includes means for capturing biometric data input through a headset worn by a user, means for transmitting the biometric data to the server and performing authentication, means for displaying the screen of an electronic device through the headset if the authentication is successful, means for encrypting the screen data of the electronic device, and means for monitoring the wearing status of the headset and stopping the display of the screen of the electronic device if the headset is removed. This makes it possible to safely handle highly confidential data and personal information and minimize the risk of unauthorized access.

[1543] A "headset" is a device worn by a user that provides visual and audio information.

[1544] "Biometric data" refers to data used to identify an individual user, and in the present invention, it primarily refers to iris data.

[1545] A "server" is a computer system that sends and receives data over a network and provides functions such as authentication and analysis.

[1546] "Authentication" is the process of verifying that a user is a legitimate person, and in the present invention, iris authentication is mainly used.

[1547] "Electronic device screen" refers to the screen of the device that displays information that the user uses to work, and this information is provided through the headset.

[1548] "Encryption" is the process of converting data into a form that is invisible to third parties, and is a means of ensuring data security.

[1549] "Wearing status monitoring" is the process of detecting whether the headset is being worn correctly by the user.

[1550] MODE FOR CARRYING OUT THE INVENTION

[1551] System Configuration

[1552] This invention is a system that allows users to work in a remote environment while maintaining high security by using a headset worn by the user. Details of each hardware and software component and specific processing contents are described below.

[1553] Program generation and explanation

[1554] Hardware configuration:

[1555] 1. Headset: A device worn by the user that provides visual and auditory information and includes a built-in iris camera and sensors to monitor wearability.

[1556] 2. Terminal: A computer that receives and transmits data via a headset and a security server. In particular, a smartphone is used as a terminal.

[1557] 3. Security Server: A computer system that analyzes iris data and performs authentication.

[1558] 4. Encryption: Software that converts data into a form that is invisible to third parties.

[1559] Software configuration:

[1560] 1. Python: A programming language for operations.

[1561] 2. OpenCV: A library used to capture and process camera data.

[1562] 3. requests: An HTTP library for sending and receiving data.

[1563] 4. pycryptodome: A library for data encryption.

[1564] Headset Startup and Authentication

[1565] Start and connect:

[1566] When a user puts on the headset and turns on the device, it automatically connects to the security server, and the headset's built-in iris camera captures the user's iris data.

[1567] Iris recognition and data transmission:

[1568] The device sends the captured iris data to a security server, which analyzes the data and compares it with a pre-registered database. If authentication is successful, the server notifies the device of the result.

[1569] Screen Display and Monitoring

[1570] Start screen display:

[1571] If authentication is successful, the device encrypts the screen data obtained from the electronic device and sends it to the headset, allowing the user to safely view and operate the business application screen through the headset display.

[1572] Wearability monitoring:

[1573] The device constantly monitors whether the headset is being worn correctly. If the headset wearing status monitoring sensor detects that the headset has been removed, the device immediately stops displaying the screen, preventing the risk of information leakage.

[1574] Examples of specific examples and prompts

[1575] Examples:

[1576] For example, there is a sales representative who handles personal information of customers. After the representative puts on the headset and performs iris authentication, important data, including personal information, can be securely accessed remotely. If the headset is removed during work, the screen display immediately stops, preventing the risk of information leaks.

[1577] Example prompt sentence:

[1578] "Tell us a scenario where you need to handle highly sensitive data remotely and securely. For example, imagine a scenario where a user puts on a smartphone headset and uses iris recognition to securely access information."

[1579] As described above, the present invention provides a highly secure system that functions effectively in a variety of remote environments.

[1580] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1581] Step 1:

[1582] When a user puts on a headset and turns on the device, the device automatically connects to the security server. The input is the power-on and connection request, and the output is a notification that the connection has been completed to the security server.

[1583] Step 2:

[1584] An iris camera built into the headset captures the user's iris data. This data is sent to the device, which then forwards it to a security server. The input is the captured iris data, and the output is the iris data sent to the server.

[1585] Step 3:

[1586] The security server analyzes the received iris data and performs authentication by comparing it with a pre-registered database. Based on this process, the server generates an authentication result and notifies the terminal. The input is the transmitted iris data, and the output is the authentication result.

[1587] Step 4:

[1588] Based on the authentication result received from the security server, the terminal obtains and encrypts the screen data of the electronic device only if authentication is successful. The input is a successful authentication notification and the screen data, and the output is the encrypted screen data.

[1589] Step 5:

[1590] The encrypted screen data is sent from the terminal to the headset and displayed on the headset display. The input is the encrypted screen data, and the output is the display on the headset display.

[1591] Step 6:

[1592] The device constantly monitors the headset's wearing status. The wearing status monitoring sensor checks whether the headset is being worn properly, and immediately stops the screen display if the headset is removed. The input is the wearing status sensor data, and the output is the screen display status (displaying or stopped).

[1593] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1594] System Overview

[1595] This invention is a system that utilizes a headset worn by the user to perform work in a remote environment while maintaining high security. The system is equipped with an emotion engine that recognizes the user's emotions, in addition to identity verification using iris authentication, secure screen display, and monitoring of the headset's wearing status.

[1596] composition

[1597] Headset: A device worn by the user that provides visual and auditory information.

[1598] Iris camera: Built into the headset, it captures the user's iris data.

[1599] Security server: A computer system that analyzes biometric data and performs authentication.

[1600] Terminal: The computer that receives and sends data via the headset and security server.

[1601] Encryption function: Technology that converts data into a form that cannot be seen by third parties.

[1602] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1603] Emotion engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[1604] Specific Embodiments

[1605] 1. Turn on the headset

[1606] The user puts on the headset and turns it on. The device automatically connects to the security server.

[1607] 2. Iris Recognition

[1608] The iris camera captures the user's iris data, which the device then sends to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[1609] 3. Start of screen display

[1610] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1611] 4. Monitoring of wearing status

[1612] The device constantly monitors whether the headset is being worn correctly, and if the headset is removed, it immediately stops displaying the PC screen.

[1613] 5. Activating the Emotional Engine

[1614] The headset captures the user's voice and facial expression data and analyzes it using an emotion engine.

[1615] 6. Sentiment Analysis Processing

[1616] The emotion engine analyzes the user's emotions based on the captured data, which are reflected in the content display and feedback.

[1617] 7. Content Adjustment

[1618] Based on the emotion recognized, the device will adjust the content displayed in the headset, for example, if you are feeling stressed, it will present a relaxing interface.

[1619] Specific examples

[1620] Scenario: "Remotely handling highly sensitive data while simultaneously monitoring user emotions"

[1621] 1. Start and connect

[1622] When a worker puts on the headset and turns it on, the device connects to the security server.

[1623] 2. Authentication Process

[1624] The iris camera captures the iris data of the person in charge and sends it to the security server via the terminal, which analyzes the data and verifies that the user is legitimate.

[1625] 3. Business Continuity

[1626] Once authentication is successful, the employee can view and operate the PC screen through the headset, allowing them to safely perform tasks that involve handling client personal information, for example.

[1627] 4. Monitoring and disconnecting the device

[1628] During work, the headset status is constantly monitored, and if it is removed, the display on the PC screen immediately stops.

[1629] 5. Emotion Monitoring

[1630] The emotion engine captures and analyzes the voice and facial expressions of the employee while they are working. For example, if they become tense while handling crime prevention information, the interface will automatically switch to a more relaxed one.

[1631] In this way, the present invention provides a system that utilizes user emotion recognition to further facilitate work in a remote environment while maintaining high security.

[1632] The processing flow will be explained below.

[1633] Step 1:

[1634] The user puts on the headset.

[1635] The user puts the headset on their head and turns it on.

[1636] Step 2:

[1637] The terminal establishes a connection to the security server.

[1638] The terminal automatically sends a connection request to the security server over the network.

[1639] Step 3:

[1640] The terminal displays an iris authentication prompt to the user.

[1641] Iris authentication instructions will appear on the headset's built-in display.

[1642] Step 4:

[1643] The terminal activates the iris camera and captures the user's iris data.

[1644] The headset's iris camera activates and captures the user's iris data in high resolution.

[1645] Step 5:

[1646] The device transmits the captured iris data to a security server.

[1647] The device encrypts the captured iris data and sends it to a security server.

[1648] Step 6:

[1649] The server analyzes the received iris data and performs authentication.

[1650] The server receives the iris data and compares it with a registered database to authenticate the user.

[1651] Step 7:

[1652] The server sends the authentication result to the terminal.

[1653] The server returns the authentication result to the terminal and sends a status indicating whether the authentication was successful.

[1654] Step 8:

[1655] The terminal notifies the user of the authentication result.

[1656] A message indicating authentication success or failure will appear on the headset display.

[1657] Step 9:

[1658] If authentication is successful, the device requests the PC's screen data from the server.

[1659] The terminal requests the PC's screen data through the security server and receives the encrypted data.

[1660] Step 10:

[1661] The server sends the encrypted screen data to the terminal.

[1662] The server encrypts the PC screen data in real time and sends it to the terminal.

[1663] Step 11:

[1664] The device displays the encrypted screen data on the headset.

[1665] The device decodes the received data and displays it in real time on the headset display.

[1666] Step 12:

[1667] The device monitors whether the headset is being worn.

[1668] Sensors constantly monitor whether the headset is being worn correctly.

[1669] Step 13:

[1670] If the device is removed from the device, it will immediately stop displaying the PC screen.

[1671] When the device detects that the headset has been removed, it immediately stops displaying the PC screen and displays a warning message.

[1672] Step 14:

[1673] The headset captures the user's voice and facial expression data.

[1674] The headset's microphone and camera capture the user's voice and facial expressions in real time.

[1675] Step 15:

[1676] The device sends the captured data to the emotion engine.

[1677] The terminal transmits the voice data and the facial expression data to the emotion engine.

[1678] Step 16:

[1679] The emotion engine analyzes the user's emotions.

[1680] The emotion engine analyzes the user's emotions based on the received data and sends the results to the device.

[1681] Step 17:

[1682] The device adjusts the content displayed on the headset based on the analysis results.

[1683] If the user is feeling stressed, the device will adjust the display, for example by changing the interface to one that is more relaxing.

[1684] Example 2

[1685] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1686] In today's remote work environments, it is necessary to handle highly confidential data while maintaining high security. However, conventional systems have limitations in user authentication and screen display security, and also lack the ability to monitor the user's emotional state. This makes it difficult to reduce the burden on users and improve work efficiency.

[1687] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for capturing the user's voice data and facial expression data and transmitting them to an emotion analysis engine, means for the emotion analysis engine to analyze the voice data and the facial expression data and provide feedback on the user's emotional state, and means for adjusting content based on the results of the emotion analysis. This enables remote work that takes the user's emotional state into consideration while maintaining high security.

[1688] "Biometric data" means data based on physical characteristics used for the identification or authentication of an individual.

[1689] A "headset" is a device worn on a user's head that provides visual and audio information.

[1690] "Iris data" is data containing unique identification information obtained from the iris portion of a user's eye.

[1691] A "server" is a computer system that stores, manages, analyzes, and provides data on a network.

[1692] "Terminal" refers to a computer or other electronic device used by a User.

[1693] "Encryption" is a technology that converts data in one direction to protect it from unauthorized access or tampering by third parties.

[1694] "Monitoring the wearing status" is a process in which a sensor or the like is used to detect whether the headset is being worn correctly by the user.

[1695] An "emotion analysis engine" is a system that analyzes voice data and facial expression data to recognize the user's emotional state.

[1696] "Feedback" is the process by which the system returns analysis results or operation results to the user.

[1697] "Content adjustment" refers to the operation of adapting the displayed information or interface based on the user's emotional state.

[1698] "TLS" is a cryptographic protocol for protecting data at the transport layer.

[1699] "AES" stands for Advanced Encryption Standard, an algorithm used to encrypt data.

[1700] This invention is a system that enables users to work remotely while maintaining high security using a headset. The system includes iris authentication for identity verification, secure screen display, monitoring of headset wear status, and an emotion analysis engine that recognizes the user's emotions.

[1701] composition

[1702] The system consists of the following hardware and software:

[1703] Headset: A device worn by the user that provides visual and auditory information.

[1704] Iris camera: Built into the headset, it captures the user's iris data.

[1705] Security server: A computer system that analyzes biometric data and performs authentication.

[1706] Device: The computer that receives and sends data via the headset and security server.

[1707] Encryption function: A technology that converts data into a form that cannot be seen by third parties. AES encryption is used here.

[1708] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1709] Emotion analysis engine: A system that analyzes the user's voice data and facial expression data to recognize emotions.

[1710] Specific Examples

[1711] 1. Turn on the headset

[1712] The user puts on the headset and turns it on, which automatically connects the device to the security server.

[1713] 2. Iris Recognition

[1714] The iris camera captures the user's iris data. The device sends the captured data to a security server. The server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result.

[1715] 3. Start of screen display

[1716] If authentication is successful, the device encrypts the PC screen data using AES and sends it to the headset, allowing the user to view the PC screen through the headset display.

[1717] 4. Monitoring of wearing status

[1718] The device constantly uses sensors to monitor whether the headset is being worn correctly, and if the headset is removed, the device immediately stops displaying the PC screen.

[1719] 5. Start sentiment analysis

[1720] The headset captures the user's voice and facial expression data, analyzes it using an emotion analysis engine, and feeds the analysis results back to the device.

[1721] 6. Emotional Feedback

[1722] Based on the analyzed emotional data, the device can adjust the content displayed in the headset, for example, displaying a relaxing interface if the user is feeling stressed.

[1723] Prompt Sentence Examples

[1724] For example: "Describe how you can recognize user emotions in real time and adjust the interface as needed when working with highly sensitive data remotely."

[1725] As a result, the present invention simultaneously provides users with safety and emotional comfort, enabling highly secure remote work.

[1726] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1727] Program processing flow

[1728] Step 1:

[1729] Starting up the headset

[1730] The user puts on the headset and turns it on. This starts the headset and displays the initial screen. The device detects this start-up signal and automatically initiates a secure connection to the security server using the HTTPS protocol. The input is the user's start-up operation, and the output is a connection signal to the security server.

[1731] Step 2:

[1732] Iris Data Capture

[1733] The iris camera built into the headset captures the user's iris data. When the user looks at the camera, the camera automatically captures an iris image and transmits the data to the device. The input is the user's iris information, and the output is the captured iris data.

[1734] Step 3:

[1735] Sending iris data

[1736] The device captures iris data, encrypts it in real time using AES, and sends it to a security server. The server receives this data and begins matching it with a database. The input is the captured iris data, and the output is the encrypted data transmission.

[1737] Step 4:

[1738] Iris Recognition

[1739] The security server analyzes the received iris data and compares it with the registered iris database. If authentication is successful, the server sends a notification of successful authentication to the terminal. The input is encrypted iris data, and the output is the authentication result.

[1740] Step 5:

[1741] Screen data encryption and transmission

[1742] After the device receives a successful authentication notification, it encrypts the PC screen data in real time using AES and sends it to the headset display. This allows the user to view the PC screen securely. The input is the successful authentication notification and the PC screen data, and the output is the transmission of the encrypted screen data.

[1743] Step 6:

[1744] Wearing status monitoring

[1745] The device uses sensors to constantly monitor whether the headset is being worn. If the headset is removed, the device immediately stops displaying the PC screen. The input is sensor data indicating the headset's wearing status, and the output is a control signal for the screen display.

[1746] Step 7:

[1747] Capturing Emotional Data

[1748] The headset captures the user's voice and facial expression data and sends them to the emotion analysis engine. Voice data is captured using a built-in microphone, and facial expression data is captured using a camera. The input is the user's voice and facial expression, and the output is the captured data.

[1749] Step 8:

[1750] Sentiment Analysis and Feedback

[1751] The emotion analysis engine analyzes the captured voice and facial expression data, determines the user's emotional state, and provides feedback to the device. The input is the captured emotional data, and the output is feedback of the emotional state.

[1752] Step 9:

[1753] Content Adjustment

[1754] The device adjusts the content displayed on the headset based on the analyzed emotion data. For example, if it determines that the user is feeling stressed, it provides a relaxing interface. The input is the result of emotion analysis, and the output is the adjusted content display.

[1755] (Application example 2)

[1756] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1757] Ensuring security and efficient work execution are key issues in today's remote work and online meetings. However, security vulnerabilities and user stress often become problems in these environments. In particular, for tasks that require high security, personal authentication and data encryption are important. Additionally, monitoring the user's emotional state and responding appropriately are also required. No system currently exists that combines these two elements, so a new solution is needed.

[1758] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for capturing biometric data input through a headset worn by the user, means for transmitting the biometric data to the server and performing authentication, means for displaying a computer screen through the headset if the authentication is successful, means for monitoring the wearing status of the headset and stopping the display of the computer screen if the headset is removed, means for analyzing the user's emotions in real time using an emotion engine built into the headset, and means for adjusting the user interface based on the emotions. This makes it possible to manage both user security and emotions in real time.

[1759] A "headset" is a device worn by a user that provides visual and audio information.

[1760] "Biometric data" refers to data used for personal authentication, such as iris data obtained from the user's body.

[1761] A "server" is a computer system that analyzes biometric data and performs authentication.

[1762] "Authentication" is the process of verifying a user's identity based on their biometric data.

[1763] "Computer screen" refers to the screen display of a personal computer used for business or remote meetings.

[1764] The "wearing state" refers to whether the headset is worn correctly by the user.

[1765] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotions.

[1766] A "user interface" refers to the display screen and operating means used to exchange information between a computer and a user.

[1767] "Data encryption" is a technology that converts data into a form that is invisible to third parties.

[1768] "Analysis" is the process of examining data in detail and extracting information.

[1769] System Overview

[1770] This invention is a system that enables users to work and hold meetings in a remote environment while maintaining high security by using a headset worn by the user. This system verifies the user's identity through iris authentication, displays a secure screen, monitors the wearing status, and incorporates an emotion engine that recognizes the user's emotions.

[1771] composition

[1772] Headset: A device worn by the user that provides visual and audio information. It includes an iris camera, a voice-capturing microphone, and sensors that monitor wearability.

[1773] Iris camera: Built into the headset, it captures the user's iris data.

[1774] Security server: A computer system that analyzes biometric data and performs authentication.

[1775] Terminal: The computer that receives and sends data via the headset and security server.

[1776] Encryption: Technology that transforms data into a form that is invisible to third parties. For example, cryptography.fernet is used.

[1777] Sensor for monitoring wearing status: A sensor that monitors whether the headset is being worn correctly by the user.

[1778] Emotion engine: A system that analyzes voice data and facial expression data to recognize emotions. For example, EmotionRecognizer is used.

[1779] Specific Embodiments

[1780] 1. Turn on the headset:

[1781] The user puts on the headset and turns it on. The device automatically connects to the security server. In this step, the iris camera and microphone are activated.

[1782] 2. Iris Recognition:

[1783] The iris camera captures the user's iris data, and the device sends this data to a security server. The security server analyzes the iris data and compares it with a registration database. If authentication is successful, the server notifies the device of the result. This allows the user to confirm whether they are a legitimate authenticated individual.

[1784] 3. Start screen display:

[1785] If authentication is successful, the device encrypts the PC screen data and sends it to the headset, allowing the user to view the PC screen through the headset display, enabling work and meetings to be conducted in a secure environment.

[1786] 4. Wearability monitoring:

[1787] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display will immediately stop, maintaining security.

[1788] 5. Activating the Emotion Engine:

[1789] The headset captures the user's voice and facial expression data and analyzes it with an emotion engine, which analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time.

[1790] 6. Sentiment Analysis Processing:

[1791] The emotion engine analyzes the user's emotions based on the captured data. For example, if the user is feeling stressed, the emotion engine analyzes the emotional data and automatically switches to a relaxation interface.

[1792] Specific usage examples and prompt sentence examples

[1793] Usage example:

[1794] In secure VVIP meetings, participants wear headsets and share data securely using iris recognition and encrypted communications. If emotions indicate stress during the meeting, the user interface automatically switches to relaxation mode.

[1795] Example prompt sentence:

[1796] A system that performs iris authentication on remote meeting participants to enable highly secure data sharing. It monitors the emotional state of participants during the meeting and switches to a relaxing UI if they show signs of stress. Please show us the specific implementation method and programming steps for this system.

[1797] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1798] Step 1:

[1799] The user puts on the headset and turns it on. The device detects the headset's activation signal and automatically connects to the security server, where the iris camera and microphone are activated. This process checks the headset's wearing status and operation status to ensure it is activated correctly.

[1800] Input: User puts on headset and powers it on.

[1801] Data processing: The headset is put on and an activation signal is sent to the device.

[1802] Output: Automatic connection to security server successful, iris camera and microphone are activated.

[1803] Step 2:

[1804] The iris camera captures the user's iris data, and the device sends this data to the security server. The server analyzes the iris data and compares it with a registered database. If the authentication is successful, the server notifies the device of the result. In this step, data transmission and analysis for authentication are performed.

[1805] Input: The user's iris data is captured.

[1806] Data processing: The captured iris data is encoded and sent to a security server, which checks it against a database for authentication.

[1807] Output: The authentication result is notified to the terminal.

[1808] Step 3:

[1809] If authentication is successful, the device receives authentication confirmation from the security server, encrypts the PC screen data, and sends it to the headset. The user can then view the PC screen through the headset display. In this step, data encryption and display processing are performed.

[1810] Input: Notification of authentication result.

[1811] Data processing: PC screen data is encrypted and sent to the headset.

[1812] Output: Allows users to view their PC screen through the headset.

[1813] Step 4:

[1814] The device constantly monitors whether the headset is being worn correctly. If the headset is removed, the PC screen display is immediately stopped. In this step, the headset wearing status is monitored and the screen display is managed.

[1815] Input: Headset wearing status.

[1816] Data calculation: The sensor attached to the device monitors the data and stops displaying the data on the screen if the device is removed.

[1817] Output: When the headset is removed, the PC screen stops displaying.

[1818] Step 5:

[1819] The emotion engine in the headset captures and analyzes the user's voice and facial expression data. The emotion engine analyzes the user's tone of voice and facial expressions to recognize their emotional state in real time. In this step, emotion data is captured and analyzed.

[1820] Input: User's voice and facial expression data.

[1821] Data calculation: The emotion engine analyzes the data and recognizes the user's emotions.

[1822] Output: The user's emotional state is recognized in real time.

[1823] Step 6:

[1824] Based on the analysis results of the emotion engine, the device adjusts the content displayed on the headset. For example, if the user is feeling stressed, it will provide a relaxing interface. In this step, the UI is adjusted based on the emotion recognition results.

[1825] Input: Analysis results from the emotion engine.

[1826] Data Computation: Adjusting the user interface based on the perceived emotional state.

[1827] Output: If you are feeling stressed, you will be presented with an interface that helps you relax.

[1828] 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.

[1829] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1830] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1831] 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.

[1832] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[1833] 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.

[1834] 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).

[1835] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1836] 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."

[1837] 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.

[1838] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1839] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1840] 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.

[1841] 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.

[1842] 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.

[1843] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[1844] The hardware resource that executes the specific processing 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 processing may be a single processor.

[1845] 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.

[1846] 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.

[1847] 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, in order to avoid confusion and to 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.

[1848] 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.

[1849] The following is further disclosed regarding the above embodiment.

[1850] (Claim 1)

[1851] means for capturing biometric data input by a headset worn by a user;

[1852] means for transmitting the biometric data to a server for authentication;

[1853] means for displaying a computer screen through said headset if said authentication is successful;

[1854] means for monitoring the wearing state of the headset and stopping the display on the computer screen when the headset is removed;

[1855] A system including:

[1856] (Claim 2)

[1857] The system of claim 1, wherein the biometric data is iris data.

[1858] (Claim 3)

[1859] 10. The system of claim 1, wherein the computer screen is transmitted to the headset as encrypted data.

[1860] "Example 1"

[1861] (Claim 1)

[1862] means for capturing biometric data input by a headset worn by a user;

[1863] means for transmitting the biometric data to a server via a terminal and performing authentication;

[1864] means for encrypting and displaying a computer screen on a headset through the terminal when the authentication is successful;

[1865] a means for constantly monitoring the wearing state of the headset and immediately stopping the display on the computer screen when the headset is removed;

[1866] A system including:

[1867] (Claim 2)

[1868] The system of claim 1, wherein the biometric data is iris data.

[1869] (Claim 3)

[1870] 10. The system of claim 1, wherein the computer screen is transmitted to the headset as encrypted data.

[1871] "Application Example 1"

[1872] New Claims

[1873] (Claim 1)

[1874] means for capturing biometric data input by a headset worn by a user;

[1875] means for transmitting the biometric data to a server for authentication;

[1876] means for displaying a screen of an electronic device through the headset if the authentication is successful;

[1877] means for encrypting screen data of the electronic device;

[1878] means for monitoring the wearing state of the headset and stopping the display on the screen of the electronic device when the headset is removed;

[1879] A system including:

[1880] (Claim 2)

[1881] The system of claim 1, wherein the biometric data is iris data.

[1882] (Claim 3)

[1883] 10. The system of claim 1, wherein the screen of the electronic device is transmitted to the headset as encrypted data.

[1884] "Example 2: Combining Emotion Engines"

[1885] (Claim 1)

[1886] means for capturing biometric data input by a headset worn by a user;

[1887] means for transmitting the biometric data to a server for authentication;

[1888] means for displaying a computer screen through said headset if said authentication is successful;

[1889] means for monitoring the wearing state of the headset and stopping the display on the computer screen when the headset is removed;

[1890] means for capturing voice data and facial expression data of a user and transmitting the data to an emotion analysis engine;

[1891] a means for the emotion analysis engine to analyze the voice data and the facial expression data and feed back an emotional state;

[1892] a means for adjusting content based on the results of sentiment analysis;

[1893] A system including:

[1894] (Claim 2)

[1895] The system of claim 1, wherein the biometric data is iris data.

[1896] (Claim 3)

[1897] 10. The system of claim 1, wherein the computer screen is transmitted to the headset as encrypted data.

[1898] "Application example 2 when combining emotion engines"

[1899] (Claim 1)

[1900] means for capturing biometric data input by a headset worn by a user;

[1901] means for transmitting the biometric data to a server for authentication;

[1902] means for displaying a computer screen through said headset if said authentication is successful;

[1903] means for monitoring the wearing state of the headset and stopping the display on the computer screen when the headset is removed;

[1904] means for analyzing the user's emotions in real time using an emotion engine built into the headset;

[1905] means for adjusting a user interface based on said emotion;

[1906] A system including:

[1907] (Claim 2)

[1908] The system of claim 1, wherein the biometric data is iris data.

[1909] (Claim 3)

[1910] 10. The system of claim 1, wherein the computer screen is transmitted to the headset as encrypted data. [Explanation of symbols]

[1911] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for capturing biometric data input by a headset worn by a user; means for transmitting the biometric data to a server for authentication; means for displaying a computer screen through said headset if said authentication is successful; means for monitoring the wearing state of the headset and stopping the display on the computer screen when the headset is removed; A system including:

2. The system of claim 1 , wherein the biometric data is iris data.

3. 10. The system of claim 1, wherein the computer screen is transmitted to the headset as encrypted data.

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