System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving user information from a terminal; means for performing existence confirmation of the user information received from the terminal; means for automatically generating a profile text or a self-introduction moving image based on the received user information; means for selecting an optimal matching service for a user from a plurality of matching services; means for linking the generated profile text or self-introduction moving image to the selected matching service; and means for assigning an authentication mark to the user who has completed the existence confirmation.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] In recent years, the market for romance-related matching services has expanded rapidly, but users have difficulty selecting the most suitable service from the many available. Furthermore, ensuring reliability is an issue due to the existence of fake profiles and profit-seeking users. As a result, many users are unable to achieve the results they expected, reducing the effectiveness of the service. The present invention aims to solve these problems and provide a system that can be used safely by both users and service providers. [Means for solving the problem]

[0005] The present invention provides a system that includes means for receiving user information from a terminal, verifying the existence of the user information received from the terminal, automatically generating a profile text and self-introduction video based on the received user information, selecting the most suitable one for the user from among multiple matching services, linking the generated profile text and self-introduction video to the selected matching service, and assigning a certification mark to users whose existence has been verified. This system allows users to smoothly access the most suitable matching service, enabling reliable encounters.

[0006] "Terminal" means a device that a user operates to input and send information, including smartphones, tablets, and personal computers.

[0007] "User information" refers to the user's personal data, including, for example, nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0008] "Presence verification" is a means for ensuring the reliability of user information received from a terminal, and includes, for example, performing facial authentication using a photograph of the user.

[0009] A "profile text" is an automatically generated introduction of a user, which describes the user's interests, preferences, and so on.

[0010] A "self-introduction video" is a short video automatically generated based on the user's introduction content, and is intended to visually convey the user's charms and characteristics.

[0011] A "matching service" is an online platform that facilitates encounters between users, and is provided for purposes such as romance, marriage, and making friends.

[0012] The "authentication mark" is a mark given to users whose existence has been verified, and is intended to indicate to other users the reliability of the user profile. [Brief explanation of the drawings]

[0013] [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 illustrating 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

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] The present invention provides a system that eliminates the need for users to search for an appropriate service among many other matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. The system includes a terminal, a server, and data processing performed between them.

[0035] System configuration

[0036] 1. User operations and input

[0037] The user performs the initial setup

[0038] The user installs a dedicated application on their device and enters the following information:

[0039] nickname

[0040] sex

[0041] height

[0042] body weight

[0043] age

[0044] address

[0045] Concerns

[0046] Social media account name

[0047] photograph

[0048] The user enters this information into the app and submits it.

[0049] 2. Receiving and analyzing information

[0050] The server receives the information

[0051] The server receives user information sent from the device in real time and stores it in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[0052] 3. Automatic profile generation

[0053] Server generates profile

[0054] The server's AI automatically generates a reliable profile based on the received user information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information. The generated profile reflects the user's hobbies and characteristics.

[0055] Examples:

[0056] For example, if a user inputs that they love music and are an outdoorsy person, the AI ​​will generate a profile statement such as, "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video based on this.

[0057] 4. Selecting a Matching Service

[0058] The server selects the best matching service

[0059] The server selects the most suitable matching service for the user from among several affiliated matching services based on the generated profile information and the user's preferences. AI analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services.

[0060] For example, a music-focused matching service is selected for a music-loving user, and an outdoor-focused matching service is selected for an outdoor-loving user.

[0061] 5. Linking profiles

[0062] The server connects to the matching service

[0063] The server automatically links the generated profile text and self-introduction video to the selected matching service, allowing users to register with multiple matching services with a single input.

[0064] 6. Certification Mark Granting

[0065] The server provides the certification mark

[0066] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0067] Example of operation

[0068] When a user installs the app, enters their information and uploads photos, the server receives the information and AI performs identity verification and analyzes their preferences. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to find reliable encounters with the most suitable matching service.

[0069] The processing flow will be explained below.

[0070] Step 1:

[0071] The user performs the initial setup

[0072] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0073] Step 2:

[0074] The device sends information

[0075] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0076] Step 3:

[0077] The server receives the information

[0078] The server receives user information and photos sent from the device in real time, and the received data is stored in a database.

[0079] Step 4:

[0080] AI on the server performs identity verification

[0081] The AI ​​on the server analyzes the received photo and uses facial recognition technology to verify the user's identity, detecting facial features and matching them with existing data in the database.

[0082] Step 5:

[0083] The server generates a profile and self-introduction video

[0084] The AI ​​on the server automatically generates a unique and attractive profile based on the user's input information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information.

[0085] Step 6:

[0086] The server selects the best matching service

[0087] The AI ​​on the server analyzes the generated profile information and user preferences, and selects the most suitable partner from among multiple partner matching services. This analysis includes comparing the characteristics of each matching service with the user's suitability.

[0088] Step 7:

[0089] The server shares profile information

[0090] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0091] Step 8:

[0092] The server provides the certification mark

[0093] Once the identity verification is complete, the server assigns a certification mark to the user. This certification mark is added to the user's profile information and is displayed to other users on the matching service.

[0094] Step 9:

[0095] Users use the matching service

[0096] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[0097] Example 1

[0098] 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."

[0099] Current matching services face problems such as numerous fake profiles and fraudulent use by commercial users, making it difficult for users to find the right service. Furthermore, registering for multiple services requires users to enter personal information multiple times, which is extremely cumbersome for users. There is a need to build a system that can solve these problems and provide reliable encounters.

[0100] 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.

[0101] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable one for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected multiple matching services, means for assigning an authentication mark to a user whose existence has been verified, means for automatically completing the user's registration with the linked multiple matching services, and means for analyzing user preferences based on the generated profile text and self-introduction video. This makes it possible to easily provide highly reliable encounters across multiple matching services.

[0102] A "terminal" is an electronic device through which a user inputs information and communicates with a server.

[0103] "User information" refers to personal data that is entered by a user through a device and sent to a server, and specifically includes information such as nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0104] "Identity verification" is the process by which the server uses the received user information and photo to verify whether the user actually exists.

[0105] The "profile text" is a self-introduction text in text format that is generated based on the user information, and describes the user's characteristics, hobbies, etc.

[0106] The "self-introduction video" is an automatically generated short video introduction message based on user information and photos.

[0107] A "matching service" is a service that supports online meetings and interactions between users.

[0108] An "authentication mark" is a digital badge that proves reliability and is given by the server to users whose existence has been verified.

[0109] "Preference information" refers to information about a user's interests, concerns, and preferences, and is used to select matching services.

[0110] MODE FOR CARRYING OUT THE INVENTION

[0111] The present invention is a system that reduces the effort required for users to find an appropriate matchmaking service from among the many available. Its purpose is to provide reliable encounters by eliminating fake profiles and users with commercial interests. The system includes a terminal, a server, and data processing between them.

[0112] 1. User operations and input

[0113] First, the user installs a dedicated application on their device, which provides an interface for the user to enter the following information:

[0114] nickname

[0115] sex

[0116] height

[0117] body weight

[0118] age

[0119] address

[0120] Concerns

[0121] Social media account name

[0122] photograph

[0123] The user enters this information and taps the send button to send it to the server. The device used is a general-purpose mobile device such as a smartphone or tablet.

[0124] 2. Server-side information reception and analysis

[0125] The server receives user information sent from the device in real time. The received data is stored in a database. The received photos are analyzed using an AI model (e.g., OpenCV, Amazon Rekognition) on the server, and identity verification is performed using facial recognition technology. Facial recognition technology is used to verify the authenticity of the photo and the user's existence.

[0126] 3. Automatic profile generation

[0127] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) generates a reliable profile and self-introduction video based on the user information. For example, if a user enters "I love music festivals and I'm an outdoorsy person," the profile text generated will be something like "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" At the same time, a self-introduction video based on this will also be generated.

[0128] 4. Selection and collaboration of matching services

[0129] The server selects the most suitable service from among multiple partner matching services based on the generated profile information and user preference information. The AI ​​model analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services. For example, a music-focused matching service may be selected for a music-loving user, and an outdoor-focused matching service for an outdoor-loving user.

[0130] The server sends an automatically generated profile text and self-introduction video to the selected matching service, and automatically registers the user with each service.

[0131] 5. Certification marking

[0132] The server assigns a certification mark to users whose identity verification has been successfully completed. This certification mark is added to the user's profile information and is displayed to other users on the selected matching service, allowing other users to recognize that the user is a trustworthy person.

[0133] Specific examples of actions and prompts

[0134] When a user installs the app, enters the required information and photos, and presses the send button, the server receives the data, and AI verifies the user's existence and analyzes their preferences. A profile and self-introduction video are then generated, and the most suitable matching service is selected. The profile information is linked to the selected service, and a certification mark is granted.

[0135] Prompt Sentence Examples

[0136] "Generate a reliable profile and self-introduction video for a user who loves music festivals and the outdoors."

[0137] Using these prompts, the generative AI model creates appropriate profile text and self-introduction videos to help users find the best matchmaking service.

[0138] Through the above process, users can easily find reliable matches across multiple matching services.

[0139] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0140] Step 1:

[0141] User enters information

[0142] Users install a dedicated application on their device and enter information such as their nickname, gender, height, weight, age, address, interests, social media account name, and photos. The entered information (input data) is sent to the server by tapping the send button (user information is generated as output data).

[0143] Step 2:

[0144] The server receives the information

[0145] The server receives user information sent from the terminal in real time and stores it in a database (input data is user information, output data is data stored in the database). Furthermore, based on this information, it formats the received content and converts it into an analyzable format.

[0146] Step 3:

[0147] The server performs identity verification

[0148] The server uses the received user information and photo to verify the identity of the person. It uses an AI model (e.g., OpenCV, Amazon Rekognition) to perform facial recognition on the received photo (input data is the photo and user information, output data is the identity verification result). This process uses facial recognition technology to verify that the photo is based on a real person.

[0149] Step 4:

[0150] Server generates profile

[0151] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) is used to generate a profile and self-introduction video based on the user information (input data is user information and identity verification results, output data is profile and self-introduction video). For example, if the user enters "I love music and I'm an outdoorsy person," the AI ​​will generate a profile that reads, "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" along with a self-introduction video based on this.

[0152] Step 5:

[0153] The server selects a matching service

[0154] The server analyzes the generated profile information and the user's preference information to select the most suitable matching service for the user (input data is the profile text and self-introduction video, output data is the selected matching service). The AI ​​model lists the most suitable service for the user from multiple partner matching services.

[0155] Step 6:

[0156] The server connects profiles

[0157] The server then sends an automatically generated profile statement and self-introduction video to the selected matching service and links them together (the input data is the profile statement and self-introduction video, and the output data is the linked profile information). This allows users to register with multiple matching services with a single input.

[0158] Step 7:

[0159] The server provides the certification mark

[0160] For users whose identity verification has been successfully completed, the server will assign a certification mark (input data is the identity verification result, output data is user information with the certification mark assigned). This certification mark will be added to the profile information and displayed on the selected matching service.

[0161] Step 8:

[0162] Users use the matching service

[0163] Users are automatically registered with each matching service along with a certification mark, and are provided with highly reliable encounters (input data is user information and a certification mark, output data is activity information on the matching service). This allows users to engage in activities while ensuring reliability across multiple matching services.

[0164] (Application example 1)

[0165] 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."

[0166] Conventional matching services require users to select an appropriate service from a wide range of options, which can be time-consuming and time-consuming. Furthermore, there is a high possibility that fake profiles and profit-seeking users may be mixed in, resulting in unreliable encounters. For this reason, a system that can provide users with reliable encounters is needed. Meanwhile, similar issues exist in social events in virtual environments, and a platform where trustworthy real users can interact with each other is needed.

[0167] 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.

[0168] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable service for the user from among multiple services, means for linking the generated profile statement and self-introduction video to the selected service, means for assigning an authentication mark to users whose existence has been verified, and means for managing participation rights in social events within the virtual environment. This allows users to register with multiple services with a single input, enabling reliable encounters and interactions. Furthermore, only users whose existence has been verified can participate in events in the virtual environment, providing a safe and reliable place for interaction.

[0169] A "terminal" is a computer device through which a user inputs information.

[0170] "User information" refers to personal information and various data entered by the user, including nickname, gender, height, weight, age, address, concerns, communication service account name, and photo.

[0171] "Identity verification" is the process of using received user information and photos to verify whether the user actually exists.

[0172] A "profile statement" is a statement that reflects the user's characteristics and hobbies and preferences, and is a description that allows others to understand the user's information.

[0173] The "self-introduction video" is a short video generated based on the user's photo and input information, and is video content that allows the user to introduce themselves.

[0174] "Services" refers to various online platforms and applications that may be used by Users.

[0175] An "authentication mark" is a proof of reliability given to a user whose existence has been verified, and serves as a mark that allows others to trust that user.

[0176] "Virtual environment" refers to a virtual interaction space or event space provided on the Internet.

[0177] "Participation authority" refers to permission to participate in a particular service or event, which is granted when a user meets certain conditions.

[0178] The present invention provides a system for enabling users to appropriately participate in a number of matchmaking services and social events within a virtual environment. The system includes a terminal, a server, and data processing performed between them.

[0179] System configuration

[0180] 1. User operations and input

[0181] Users install a dedicated application on their device and enter their nickname, gender, height, weight, age, address, concerns, communication service account name, and photo. This information is then sent from the device to the server.

[0182] 2. Receipt of information and verification of existence

[0183] The server receives and stores user information sent from the device in real time. The AI ​​on the server analyzes the received photos using the DeepFace library and performs facial recognition to verify the user's identity.

[0184] 3. Automatic profile generation

[0185] For users whose identity has been verified, the server's AI automatically generates a reliable profile and self-introduction video based on the information it receives. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" and create a self-introduction video based on this.

[0186] 4. Service Selection

[0187] The server selects an appropriate service from among multiple affiliated services based on the generated profile information and user preference information. For example, it may select a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[0188] 5. Linking profile information

[0189] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[0190] 6. Granting of Certification Marks and Management of Event Participation Rights

[0191] Once the identity verification is complete, a verification mark is given to the user and added to their profile information. The system also manages participation rights in social events within the virtual environment, ensuring that only verified users can participate.

[0192] Hardware and software used

[0193] Hardware:

[0194] Smartphone (for entering user information)

[0195] Server computers (information storage and processing)

[0196] software:

[0197] DeepFace library (for face recognition)

[0198] Flask (for building web applications)

[0199] This allows users to register for multiple services with a single entry, enabling highly reliable encounters and interactions. Furthermore, only users whose existence has been confirmed can participate in virtual events, providing a safe and reliable forum for interaction.

[0200] Specific examples and examples of generative AI model prompts

[0201] Examples:

[0202] A user uses the app and registers with the nickname "Yamada Taro," gender "male," age "25," and hobby "soccer." They then upload a photo and are authenticated by AI. After authentication, a profile statement is generated: "Yamada Taro is a 25-year-old user who loves soccer." The generated profile information is automatically linked to a soccer-specialized service. Authenticated users are then able to participate in virtual soccer events.

[0203] Example of a generative AI model prompt:

[0204] Nickname: Yamada Taro

[0205] Gender: Male

[0206] Age: 25

[0207] Hobbies: Soccer

[0208] Based on the above information, please generate a profile statement that characterizes the user.

[0209] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0210] Step 1:

[0211] The user installs a dedicated application on the device and inputs initial information, including nickname, gender, height, weight, age, address, interests, communication service account name, and photo. Once input is complete, the device sends this information to the server.

[0212] Input: User's nickname, gender, height, weight, age, address, interests, communication service account name, photo

[0213] Output: User information is sent to the server

[0214] Specific operation: When the user enters information and presses the "Submit" button, the device converts the input data into JSON format and sends it to the server's API endpoint.

[0215] Step 2:

[0216] The server receives user information sent from the device in real time and stores it in a database. It also uses the DeepFace library to perform facial recognition on photos and verify the user's identity.

[0217] Input: User information and photo received from the device

[0218] Output: Identity verification result and saved user information

[0219] Specific operation: The server saves the received data in a database and calls the DeepFace library to perform face recognition. The result of face recognition is saved as "authentication successful" or "authentication failed."

[0220] Step 3:

[0221] The server's AI automatically generates a reliable profile and self-introduction video based on the received user information. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile and self-introduction video such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!"

[0222] Input: User information and identity verification result

[0223] Output: Auto-generated profile text and self-introduction video

[0224] How it works: The server's AI performs natural language processing (NLP) based on the received user information, creates a profile text using a generative AI model, and then generates a short self-introduction video using the user's photo and input information.

[0225] Step 4:

[0226] The server selects the most suitable service for a user from among the multiple affiliated services based on the generated profile information and user preference information. For example, it selects a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[0227] Input: Automatically generated profile text and self-introduction video, user preferences

[0228] Output: Selected optimal service

[0229] What it does: The server queries a database of affiliated services and runs an algorithm to select services that match the user's preferences.

[0230] Step 5:

[0231] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[0232] Input: Selected service, automatically generated profile text and self-introduction video

[0233] Output: Linking profile information to the service

[0234] Specific operation: The server uses the API to communicate with each service and send user information. If the transmission is successful, the user is registered with each service.

[0235] Step 6:

[0236] The server assigns a verification mark to users whose identity has been verified and adds it to their profile information. It also manages participation rights in social events within the virtual environment, ensuring that only authenticated users can participate.

[0237] Input: Identity verification results, generated profile information

[0238] Output: Granting certification marks and managing participation rights for social events

[0239] Specific operation: The server adds an authentication mark to the profile of the user whose identity has been successfully verified and stores it in the database. Furthermore, it works in conjunction with the event management system in the virtual environment to implement access control so that only authenticated users can participate in events.

[0240] 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.

[0241] The present invention is a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the present invention enables personalized profile generation and matching based on the user's emotions. The system includes a terminal, a server, and data processing performed between them.

[0242] System configuration

[0243] 1. User operations and input

[0244] The user performs the initial setup

[0245] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0246] 2. Receiving and analyzing information

[0247] The device sends information

[0248] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0249] The server receives the information

[0250] The server receives user information and photos sent from the device in real time and stores them in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[0251] 3. Automatic profile generation

[0252] Server generates profile

[0253] The server's AI generates a reliable profile based on the received user information and the results of identity verification. Furthermore, the server analyzes the user's photos and uses an emotion recognition engine to recognize the user's emotions, and generates a self-introduction video based on this.

[0254] Examples:

[0255] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the AI ​​will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[0256] 4. Selecting a matching service

[0257] The server selects the best matching service

[0258] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[0259] For example, if the emotion recognition engine determines that the user has very positive emotions about music, a music-specialized matching service will be preferentially selected.

[0260] 5. Linking profiles

[0261] The server connects to the matching service

[0262] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0263] 6. Certification Mark Granting

[0264] The server provides the certification mark

[0265] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0266] Example of operation

[0267] When a user installs the app, enters information, and uploads photos, the server receives the data, and AI performs identity verification, analyzes preferences, and even recognizes emotions. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to be provided with a reliable encounter with the most suitable matching service.

[0268] The processing flow will be explained below.

[0269] Step 1:

[0270] The user performs the initial setup

[0271] Users install the dedicated application on their device, launch it, and then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0272] Step 2:

[0273] The device sends information

[0274] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0275] Step 3:

[0276] The server receives the information

[0277] The server receives the user information and photos sent from the terminal in real time and stores them in a database.

[0278] Step 4:

[0279] AI on the server performs identity verification

[0280] The AI ​​on the server analyzes the received photos and verifies the user's presence using facial recognition technology, which detects facial features and compares them with existing data in a database.

[0281] Step 5:

[0282] The server performs sentiment analysis

[0283] The emotion recognition engine on the server analyzes the received photo and video data to recognize the user's emotions. For example, it analyzes photos and videos of smiling people to determine whether the user is feeling positive emotions.

[0284] Step 6:

[0285] The server generates a profile and self-introduction video

[0286] The server's AI generates a reliable profile based on the received user information, the results of identity verification, and the results of the emotion recognition engine. In addition, the server analyzes the user's photos and generates an emotional self-introduction video.

[0287] Examples:

[0288] For example, if a user inputs that they love music and are an outdoorsy person, and a happy expression is recognized from a photo, the AI ​​and emotion recognition engine will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[0289] Step 7:

[0290] The server selects the best matching service

[0291] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information obtained from an emotion recognition engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[0292] Examples:

[0293] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[0294] Step 8:

[0295] The server shares profile information

[0296] The server automatically sends and links the generated profile text and self-introduction video to the selected matching service, thereby registering the user's information with each matching service.

[0297] Step 9:

[0298] The server provides the certification mark

[0299] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0300] Step 10:

[0301] Users use the matching service

[0302] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[0303] Example 2

[0304] 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."

[0305] Many current dating services require users to manually create detailed profiles and select appropriate dating services. The existence of fake profiles and profit-making users are also problems, reducing reliability. Furthermore, the lack of personalized matching based on users' emotions and preferences leads to a decline in the quality of encounters.

[0306] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0307] In this invention, the server is a system including means for receiving user information, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, a ubiquitous terminal, a service providing device, and data processing performed between them, and includes means for analyzing emotions using an emotion recognition engine using the received photo, and means for generating a profile text and self-introduction video based on the emotion information. This saves users the trouble of having to find an appropriate service from among the many matching services, eliminates fake profiles and users with profit-making purposes, provides reliable encounters, and enables personalized matching based on the user's emotions.

[0308] "Terminal" refers to an electronic device through which a user inputs and transmits information to a server.

[0309] "User Information" refers to the data that constitutes a user's personal identification information and profile, including, but not limited to, nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0310] "Server" refers to an information processing device that receives, stores, analyzes, and coordinates with the matching service.

[0311] "Reality verification" refers to the means by which the server verifies the authenticity of the user information received. Specifically, this includes facial recognition using a photo received from the device.

[0312] "Profile text" refers to a self-introduction text of a user that is generated by the server based on the user information.

[0313] "Self-introduction video" refers to video content for self-introduction that is generated by the server based on the user's photograph and emotional information.

[0314] "Matching service" refers to an online platform that facilitates meetings between users.

[0315] "Emotion recognition engine" refers to artificial intelligence technology for analyzing emotions from users' photos.

[0316] The term "authentication mark" refers to a mark indicating reliability that is given by the server to a user whose existence has been verified.

[0317] "Ubiquitous devices" refers to any electronic device (e.g., smartphone, tablet, PC) that allows users to access and input information at any time.

[0318] "Service providing device" refers to the server and related equipment used to provide and operate the matching service.

[0319] "Data processing" refers to a series of operations that receive, analyze, convert, store, and link user input information.

[0320] "Emotion information" refers to the emotion data analyzed from the user's photo by the emotion recognition engine.

[0321] The present invention provides a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the system enables personalized profile generation and matching based on the user's emotions. Detailed embodiments of the present invention will be described.

[0322] System Components

[0323] The system mainly consists of the following elements:

[0324] 1. Terminal: A device (such as a smartphone, tablet, or PC) through which a user enters and submits information.

[0325] 2. Server: A device that processes, stores, and analyzes received user information and connects with the matching service.

[0326] 3. Emotion recognition engine: Artificial intelligence that analyzes a user's emotions from a photo (e.g., Google Cloud Vision AI's emotion analysis function).

[0327] 4. Database: A system for storing user information.

[0328] User operations and input

[0329] The user installs and launches the dedicated application on their device, then enters and uploads the following information:

[0330] nickname

[0331] sex

[0332] height

[0333] body weight

[0334] age

[0335] address

[0336] Concerns

[0337] Social media account name

[0338] Profile photo

[0339] Receiving and analyzing information

[0340] The device sends the information entered by the user and the photo uploaded to the server. The server receives this information in real time and stores it in a database. The AI ​​on the server verifies the user's presence based on the received information and photo. This verification uses facial recognition technology (e.g., AWS Rekognition, Microsoft Face API).

[0341] Auto-generated profile

[0342] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generates a self-introduction video based on that.

[0343] Examples:

[0344] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the generated profile text will be "I'm an outdoorsy person who loves music festivals. I want to make new friends!" A self-introduction video will also be generated that emphasizes the happy expression.

[0345] Selecting a matching service

[0346] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's suitability to create a list of the most suitable services.

[0347] Examples:

[0348] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[0349] Linking profiles

[0350] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0351] Certification marking

[0352] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0353] Prompt sentences to input to the generative AI model

[0354] Examples of prompts users can use to introduce themselves include:

[0355] "Tell me about the most enjoyable travel destination."

[0356] "Tell me more about your hobbies and interests."

[0357] "What are you into these days?"

[0358] "Tell me how you would spend your ideal weekend."

[0359] These prompts can be used to gather detailed personal data from the user, which can be used to make the generated profile more detailed and personalized.

[0360] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0361] Step 1:

[0362] The user performs the initial setup

[0363] The user installs the dedicated application on their device and launches it. Within the app, the user enters necessary information such as nickname, gender, height, weight, age, address, interests, social media account name, and profile photo, and then uploads a photo. Once this information is entered into the application, the device compiles this data and prepares it to be sent to the server.

[0364] Input: User's nickname, gender, height, weight, age, address, interests, SNS account name, profile photo

[0365] Output: User information to send to the server

[0366] Step 2:

[0367] The device sends the information to the server

[0368] The device sends the information entered by the user and the uploaded photos to the server, where the device unifies the data format and encrypts it for secure transmission.

[0369] Input: User information (nickname, gender, height, weight, age, address, concerns, SNS account name, profile photo)

[0370] Output: User information sent to the server

[0371] Step 3:

[0372] The server receives and stores the information

[0373] The server receives user information sent from the device in real time and stores it in a database. The server analyzes the received data to check the format consistency and stores it correctly.

[0374] Input: User information sent from the device

[0375] Output: User information stored in the database

[0376] Step 4:

[0377] The server performs identity verification

[0378] The AI ​​on the server verifies the user's identity based on the received information and photo. In this step, it uses facial recognition technology to verify whether the uploaded photo is of a real person. Specifically, it uses AWS Rekognition and Microsoft Face API.

[0379] Input: User information, profile photo

[0380] Output: Existence confirmation result

[0381] Step 5:

[0382] The server automatically generates a profile

[0383] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generate a self-introduction video based on that. The emotion recognition engine uses the emotion analysis function of Google Cloud Vision AI.

[0384] Input: User information, existence verification result, profile photo

[0385] Output: Generated profile text and self-introduction video

[0386] Step 6:

[0387] The server selects the best matching service

[0388] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's aptitude to create a list of the most suitable services.

[0389] Input: Generated profile text, self-introduction video, preference information, emotional information

[0390] Output: A list of selected matching services

[0391] Step 7:

[0392] The server collaborates with the matching service

[0393] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0394] Input: Generated profile text, self-introduction video, list of selected matching services

[0395] Output: User information registered with each matching service

[0396] Step 8:

[0397] The server assigns the certification mark

[0398] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0399] Input: Existence verification result

[0400] Output: User profile with certification mark

[0401] (Application example 2)

[0402] 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."

[0403] Conventional matching services not only require a great deal of time and effort for users to find a suitable partner, but also have the problem of reduced reliability due to fake profiles and profit-seeking users. Furthermore, most services focus on online matching only, and do not offer the real-life experience of meeting someone in a brick-and-mortar store. Therefore, there is a need for a more effective and reliable matching system.

[0404] The identification process 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 receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile statement and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, and means for analyzing the user's emotions using an emotion recognition engine and recommending stores and events that will provide optimal meeting opportunities. This allows users to efficiently find suitable partners and enables reliable matching through meetings at actual stores.

[0405] The "means for receiving user information from the terminal" is a function for transmitting data and photos entered by the user from the terminal to the server.

[0406] "Means for verifying existence" refers to a function that verifies whether a user is an actual individual based on the data and photographs provided by the user.

[0407] The "means for generating profile text and self-introduction video" is a function that automatically creates appropriate text and video as a user's profile based on the received user information.

[0408] "Means for selecting the most suitable matching service for a user from among a plurality of matching services" refers to a function for selecting the service that is most suitable for the user's information from among a plurality of affiliated matching services.

[0409] "Means for linking profile text and self-introduction video to the selected matching service" is a function that automatically transfers the generated user profile and video to the selected matching service.

[0410] The "means for assigning an authentication mark" is a function for assigning an authentication mark to a user whose existence has been confirmed, to indicate the user's reliability.

[0411] The "means for analyzing a user's emotions using an emotion recognition engine" is an engine that analyzes photos and videos provided by the user to identify the emotions at that time.

[0412] "Means for recommending stores and events" is a function that recommends the most suitable physical stores and events to users based on an emotion recognition engine and other user information.

[0413] The present invention effectively utilizes terminals and servers to realize a highly reliable system for users to find suitable matches.

[0414] Basic system configuration

[0415] In this system, the server receives information provided by the user's device, analyzes the data using an emotion recognition engine and artificial intelligence (AI), generates a profile text and self-introduction video, and recommends optimal matching services, stores, and events.

[0416] User Input and Information Processing

[0417] Users install a dedicated application on their device and enter basic information (nickname, gender, age, hobbies, profile photo, etc.). This data is sent from the device to a server. The server stores the data received from the device in a database and uses facial recognition technology to verify the user's identity.

[0418] Generate a profile

[0419] Based on the received user information, the AI ​​on the server automatically generates a profile text and self-introduction video. Furthermore, an emotion recognition engine is used to analyze the user's emotions and reflect them in the profile and video. In this step, a generative AI model such as Python's textgenrnn is used.

[0420] As a specific example, if a user likes music and a happy expression is recognized from an uploaded photo, the generated profile text will be "I'm a user who loves music and has a fun personality. I'm looking to make new friends!"

[0421] Matching services and store / event recommendations

[0422] Taking into account the generated profile information and emotional information, the server's AI selects the most suitable service from among multiple affiliated matchmaking services and brick-and-mortar stores. If the user's emotional state is very positive, stores and live music venues that hold music events will be recommended.

[0423] Information sharing and certification marking

[0424] The server automatically links the generated profile text and self-introduction video to selected matching services and recommended stores, and awards a certification mark to users whose existence has been confirmed.

[0425] Hardware and software used

[0426] Face recognition technology: OpenCV, face_recognition library

[0427] Emotion Recognition Engine: Emotion Recognition API

[0428] Generative AI model: textgenrnn

[0429] Examples of concrete examples and prompts

[0430] For example, if a user inputs that they like "music" and the emotion recognition engine detects "happy," the profile text will be "A user who loves music and has a fun personality. I'm looking for new friends!" and the recommended stores will be "fun bars" and "music events."

[0431] Example prompt sentence:

[0432] The user likes music and has a happy mood. Generate the following self-introduction: I'm a user who likes music and has a happy mood. I'm looking for new friends!

[0433] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0434] Step 1:

[0435] The user enters basic information

[0436] Users enter basic information such as nickname, gender, age, hobbies, and profile picture into the application on their device, which then sends this information to the server.

[0437] Input: Nickname, gender, age, hobbies, profile photo

[0438] Output: Sending user information from the device to the server

[0439] Step 2:

[0440] The server receives the user information and verifies the user's identity.

[0441] The server receives the user information and photo sent from the device and stores them in a database.The server then uses facial recognition technology (e.g., OpenCV or the face_recognition library) to analyze the user's face in the photo and verify their identity.

[0442] Input: User information, profile photo

[0443] Output: Result of identity check (success / failure)

[0444] Step 3:

[0445] The server analyzes emotions and creates a profile

[0446] The server automatically generates a profile text using AI (e.g., textgenrnn) based on the received user information and the results of identity verification. It also analyzes the emotions in the photos using an emotion recognition engine (e.g., Emotion Recognition API) and generates a self-introduction video based on this.

[0447] Input: User information, profile photo, identity verification results

[0448] Output: Generated profile text and self-introduction video

[0449] Step 4:

[0450] The server selects the best matching service and store.

[0451] The server selects the most suitable matching service or store from among multiple affiliated matching services and stores, taking into consideration the generated profile information and emotion information. Based on the user's preferences and emotions, it recommends the most suitable events and meeting places.

[0452] Input: Generated profile text, emotion information

[0453] Output: Recommended matching services and stores

[0454] Step 5:

[0455] The server connects the profile information and assigns a certification mark

[0456] The server then links the generated profile text and self-introduction video to selected matching services and stores. Users who have completed identity verification are given a certification mark to guarantee their reliability.

[0457] Input: Generated profile text, self-introduction video, existence verification results

[0458] Output: Linking your profile to the selected matching service and adding a certification mark

[0459] 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.

[0460] 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.

[0461] 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.

[0462] [Second embodiment]

[0463] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0464] 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.

[0465] 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).

[0466] 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.

[0467] 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.

[0468] 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).

[0469] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0470] 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.

[0471] 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.

[0472] 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.

[0473] In the smart glasses 214, the 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.

[0474] 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."

[0475] The present invention provides a system that eliminates the need for users to search for an appropriate service among many other matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. The system includes a terminal, a server, and data processing performed between them.

[0476] System configuration

[0477] 1. User operations and input

[0478] The user performs the initial setup

[0479] The user installs a dedicated application on their device and enters the following information:

[0480] nickname

[0481] sex

[0482] height

[0483] body weight

[0484] age

[0485] address

[0486] Concerns

[0487] Social media account name

[0488] photograph

[0489] The user enters this information into the app and submits it.

[0490] 2. Receiving and analyzing information

[0491] The server receives the information

[0492] The server receives user information sent from the device in real time and stores it in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[0493] 3. Automatic profile generation

[0494] Server generates profile

[0495] The server's AI automatically generates a reliable profile based on the received user information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information. The generated profile reflects the user's hobbies and characteristics.

[0496] Examples:

[0497] For example, if a user inputs that they love music and are an outdoorsy person, the AI ​​will generate a profile statement such as, "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video based on this.

[0498] 4. Selecting a Matching Service

[0499] The server selects the best matching service

[0500] The server selects the most suitable matching service for the user from among several affiliated matching services based on the generated profile information and the user's preferences. AI analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services.

[0501] For example, a music-focused matching service is selected for a music-loving user, and an outdoor-focused matching service is selected for an outdoor-loving user.

[0502] 5. Linking profiles

[0503] The server connects to the matching service

[0504] The server automatically links the generated profile text and self-introduction video to the selected matching service, allowing users to register with multiple matching services with a single input.

[0505] 6. Certification Mark Granting

[0506] The server provides the certification mark

[0507] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0508] Example of operation

[0509] When a user installs the app, enters their information and uploads photos, the server receives the information and AI performs identity verification and analyzes their preferences. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to find reliable encounters with the most suitable matching service.

[0510] The processing flow will be explained below.

[0511] Step 1:

[0512] The user performs the initial setup

[0513] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0514] Step 2:

[0515] The device sends information

[0516] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0517] Step 3:

[0518] The server receives the information

[0519] The server receives user information and photos sent from the device in real time, and the received data is stored in a database.

[0520] Step 4:

[0521] AI on the server performs identity verification

[0522] The AI ​​on the server analyzes the received photo and uses facial recognition technology to verify the user's identity, detecting facial features and matching them with existing data in the database.

[0523] Step 5:

[0524] The server generates a profile and self-introduction video

[0525] The AI ​​on the server automatically generates a unique and attractive profile based on the user's input information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information.

[0526] Step 6:

[0527] The server selects the best matching service

[0528] The AI ​​on the server analyzes the generated profile information and user preferences, and selects the most suitable partner from among multiple partner matching services. This analysis includes comparing the characteristics of each matching service with the user's suitability.

[0529] Step 7:

[0530] The server shares profile information

[0531] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0532] Step 8:

[0533] The server provides the certification mark

[0534] Once the identity verification is complete, the server assigns a certification mark to the user. This certification mark is added to the user's profile information and is displayed to other users on the matching service.

[0535] Step 9:

[0536] Users use the matching service

[0537] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[0538] Example 1

[0539] 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."

[0540] Current matching services face problems such as numerous fake profiles and fraudulent use by commercial users, making it difficult for users to find the right service. Furthermore, registering for multiple services requires users to enter personal information multiple times, which is extremely cumbersome for users. There is a need to build a system that can solve these problems and provide reliable encounters.

[0541] 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.

[0542] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable one for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected multiple matching services, means for assigning an authentication mark to a user whose existence has been verified, means for automatically completing the user's registration with the linked multiple matching services, and means for analyzing user preferences based on the generated profile text and self-introduction video. This makes it possible to easily provide highly reliable encounters across multiple matching services.

[0543] A "terminal" is an electronic device through which a user inputs information and communicates with a server.

[0544] "User information" refers to personal data that is entered by a user through a device and sent to a server, and specifically includes information such as nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0545] "Identity verification" is the process by which the server uses the received user information and photo to verify whether the user actually exists.

[0546] The "profile text" is a self-introduction text in text format that is generated based on the user information, and describes the user's characteristics, hobbies, etc.

[0547] The "self-introduction video" is an automatically generated short video introduction message based on user information and photos.

[0548] A "matching service" is a service that supports online meetings and interactions between users.

[0549] An "authentication mark" is a digital badge that proves reliability and is given by the server to users whose existence has been verified.

[0550] "Preference information" refers to information about a user's interests, concerns, and preferences, and is used to select matching services.

[0551] MODE FOR CARRYING OUT THE INVENTION

[0552] The present invention is a system that reduces the effort required for users to find an appropriate matchmaking service from among the many available. Its purpose is to provide reliable encounters by eliminating fake profiles and users with commercial interests. The system includes a terminal, a server, and data processing between them.

[0553] 1. User operations and input

[0554] First, the user installs a dedicated application on their device, which provides an interface for the user to enter the following information:

[0555] nickname

[0556] sex

[0557] height

[0558] body weight

[0559] age

[0560] address

[0561] Concerns

[0562] Social media account name

[0563] photograph

[0564] The user enters this information and taps the send button to send it to the server. The device used is a general-purpose mobile device such as a smartphone or tablet.

[0565] 2. Server-side information reception and analysis

[0566] The server receives user information sent from the device in real time. The received data is stored in a database. The received photos are analyzed using an AI model (e.g., OpenCV, Amazon Rekognition) on the server, and identity verification is performed using facial recognition technology. Facial recognition technology is used to verify the authenticity of the photo and the user's existence.

[0567] 3. Automatic profile generation

[0568] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) generates a reliable profile and self-introduction video based on the user information. For example, if a user enters "I love music festivals and I'm an outdoorsy person," the profile text generated will be something like "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" At the same time, a self-introduction video based on this will also be generated.

[0569] 4. Selection and collaboration of matching services

[0570] The server selects the most suitable service from among multiple partner matching services based on the generated profile information and user preference information. The AI ​​model analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services. For example, a music-focused matching service may be selected for a music-loving user, and an outdoor-focused matching service for an outdoor-loving user.

[0571] The server sends an automatically generated profile text and self-introduction video to the selected matching service, and automatically registers the user with each service.

[0572] 5. Certification marking

[0573] The server assigns a certification mark to users whose identity verification has been successfully completed. This certification mark is added to the user's profile information and is displayed to other users on the selected matching service, allowing other users to recognize that the user is a trustworthy person.

[0574] Specific examples of actions and prompts

[0575] When a user installs the app, enters the required information and photos, and presses the send button, the server receives the data, and AI verifies the user's existence and analyzes their preferences. A profile and self-introduction video are then generated, and the most suitable matching service is selected. The profile information is linked to the selected service, and a certification mark is granted.

[0576] Prompt Sentence Examples

[0577] "Generate a reliable profile and self-introduction video for a user who loves music festivals and the outdoors."

[0578] Using these prompts, the generative AI model creates appropriate profile text and self-introduction videos to help users find the best matchmaking service.

[0579] Through the above process, users can easily find reliable matches across multiple matching services.

[0580] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0581] Step 1:

[0582] User enters information

[0583] Users install a dedicated application on their device and enter information such as their nickname, gender, height, weight, age, address, interests, social media account name, and photos. The entered information (input data) is sent to the server by tapping the send button (user information is generated as output data).

[0584] Step 2:

[0585] The server receives the information

[0586] The server receives user information sent from the terminal in real time and stores it in a database (input data is user information, output data is data stored in the database). Furthermore, based on this information, it formats the received content and converts it into an analyzable format.

[0587] Step 3:

[0588] The server performs identity verification

[0589] The server uses the received user information and photo to verify the identity of the person. It uses an AI model (e.g., OpenCV, Amazon Rekognition) to perform facial recognition on the received photo (input data is the photo and user information, output data is the identity verification result). This process uses facial recognition technology to verify that the photo is based on a real person.

[0590] Step 4:

[0591] Server generates profile

[0592] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) is used to generate a profile and self-introduction video based on the user information (input data is user information and identity verification results, output data is profile and self-introduction video). For example, if the user enters "I love music and I'm an outdoorsy person," the AI ​​will generate a profile that reads, "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" along with a self-introduction video based on this.

[0593] Step 5:

[0594] The server selects a matching service

[0595] The server analyzes the generated profile information and the user's preference information to select the most suitable matching service for the user (input data is the profile text and self-introduction video, output data is the selected matching service). The AI ​​model lists the most suitable service for the user from multiple partner matching services.

[0596] Step 6:

[0597] The server connects profiles

[0598] The server then sends an automatically generated profile statement and self-introduction video to the selected matching service and links them together (the input data is the profile statement and self-introduction video, and the output data is the linked profile information). This allows users to register with multiple matching services with a single input.

[0599] Step 7:

[0600] The server provides the certification mark

[0601] For users whose identity verification has been successfully completed, the server will assign a certification mark (input data is the identity verification result, output data is user information with the certification mark assigned). This certification mark will be added to the profile information and displayed on the selected matching service.

[0602] Step 8:

[0603] Users use the matching service

[0604] Users are automatically registered with each matching service along with a certification mark, and are provided with highly reliable encounters (input data is user information and a certification mark, output data is activity information on the matching service). This allows users to engage in activities while ensuring reliability across multiple matching services.

[0605] (Application example 1)

[0606] 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."

[0607] Conventional matching services require users to select an appropriate service from a wide range of options, which can be time-consuming and time-consuming. Furthermore, there is a high possibility that fake profiles and profit-seeking users may be mixed in, resulting in unreliable encounters. For this reason, a system that can provide users with reliable encounters is needed. Meanwhile, similar issues exist in social events in virtual environments, and a platform where trustworthy real users can interact with each other is needed.

[0608] 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.

[0609] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable service for the user from among multiple services, means for linking the generated profile statement and self-introduction video to the selected service, means for assigning an authentication mark to users whose existence has been verified, and means for managing participation rights in social events within the virtual environment. This allows users to register with multiple services with a single input, enabling reliable encounters and interactions. Furthermore, only users whose existence has been verified can participate in events in the virtual environment, providing a safe and reliable place for interaction.

[0610] A "terminal" is a computer device through which a user inputs information.

[0611] "User information" refers to personal information and various data entered by the user, including nickname, gender, height, weight, age, address, concerns, communication service account name, and photo.

[0612] "Identity verification" is the process of using received user information and photos to verify whether the user actually exists.

[0613] A "profile statement" is a statement that reflects the user's characteristics and hobbies and preferences, and is a description that allows others to understand the user's information.

[0614] The "self-introduction video" is a short video generated based on the user's photo and input information, and is video content that allows the user to introduce themselves.

[0615] "Services" refers to various online platforms and applications that may be used by Users.

[0616] An "authentication mark" is a proof of reliability given to a user whose existence has been verified, and serves as a mark that allows others to trust that user.

[0617] "Virtual environment" refers to a virtual interaction space or event space provided on the Internet.

[0618] "Participation authority" refers to permission to participate in a particular service or event, which is granted when a user meets certain conditions.

[0619] The present invention provides a system for enabling users to appropriately participate in a number of matchmaking services and social events within a virtual environment. The system includes a terminal, a server, and data processing performed between them.

[0620] System configuration

[0621] 1. User operations and input

[0622] Users install a dedicated application on their device and enter their nickname, gender, height, weight, age, address, concerns, communication service account name, and photo. This information is then sent from the device to the server.

[0623] 2. Receipt of information and verification of existence

[0624] The server receives and stores user information sent from the device in real time. The AI ​​on the server analyzes the received photos using the DeepFace library and performs facial recognition to verify the user's identity.

[0625] 3. Automatic profile generation

[0626] For users whose identity has been verified, the server's AI automatically generates a reliable profile and self-introduction video based on the information it receives. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" and create a self-introduction video based on this.

[0627] 4. Service Selection

[0628] The server selects an appropriate service from among multiple affiliated services based on the generated profile information and user preference information. For example, it may select a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[0629] 5. Linking profile information

[0630] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[0631] 6. Granting of Certification Marks and Management of Event Participation Rights

[0632] Once the identity verification is complete, a verification mark is given to the user and added to their profile information. The system also manages participation rights in social events within the virtual environment, ensuring that only verified users can participate.

[0633] Hardware and software used

[0634] Hardware:

[0635] Smartphone (for entering user information)

[0636] Server computers (information storage and processing)

[0637] software:

[0638] DeepFace library (for face recognition)

[0639] Flask (for building web applications)

[0640] This allows users to register for multiple services with a single entry, enabling highly reliable encounters and interactions. Furthermore, only users whose existence has been confirmed can participate in virtual events, providing a safe and reliable forum for interaction.

[0641] Specific examples and examples of generative AI model prompts

[0642] Examples:

[0643] A user uses the app and registers with the nickname "Yamada Taro," gender "male," age "25," and hobby "soccer." They then upload a photo and are authenticated by AI. After authentication, a profile statement is generated: "Yamada Taro is a 25-year-old user who loves soccer." The generated profile information is automatically linked to a soccer-specialized service. Authenticated users are then able to participate in virtual soccer events.

[0644] Example of a generative AI model prompt:

[0645] Nickname: Yamada Taro

[0646] Gender: Male

[0647] Age: 25

[0648] Hobbies: Soccer

[0649] Based on the above information, please generate a profile statement that characterizes the user.

[0650] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0651] Step 1:

[0652] The user installs a dedicated application on the device and inputs initial information, including nickname, gender, height, weight, age, address, interests, communication service account name, and photo. Once input is complete, the device sends this information to the server.

[0653] Input: User's nickname, gender, height, weight, age, address, interests, communication service account name, photo

[0654] Output: User information is sent to the server

[0655] Specific operation: When the user enters information and presses the "Submit" button, the device converts the input data into JSON format and sends it to the server's API endpoint.

[0656] Step 2:

[0657] The server receives user information sent from the device in real time and stores it in a database. It also uses the DeepFace library to perform facial recognition on photos and verify the user's identity.

[0658] Input: User information and photo received from the device

[0659] Output: Identity verification result and saved user information

[0660] Specific operation: The server saves the received data in a database and calls the DeepFace library to perform face recognition. The result of face recognition is saved as "authentication successful" or "authentication failed."

[0661] Step 3:

[0662] The server's AI automatically generates a reliable profile and self-introduction video based on the received user information. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile and self-introduction video such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!"

[0663] Input: User information and identity verification result

[0664] Output: Auto-generated profile text and self-introduction video

[0665] How it works: The server's AI performs natural language processing (NLP) based on the received user information, creates a profile text using a generative AI model, and then generates a short self-introduction video using the user's photo and input information.

[0666] Step 4:

[0667] The server selects the most suitable service for a user from among the multiple affiliated services based on the generated profile information and user preference information. For example, it selects a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[0668] Input: Automatically generated profile text and self-introduction video, user preferences

[0669] Output: Selected optimal service

[0670] What it does: The server queries a database of affiliated services and runs an algorithm to select services that match the user's preferences.

[0671] Step 5:

[0672] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[0673] Input: Selected service, automatically generated profile text and self-introduction video

[0674] Output: Linking profile information to the service

[0675] Specific operation: The server uses the API to communicate with each service and send user information. If the transmission is successful, the user is registered with each service.

[0676] Step 6:

[0677] The server assigns a verification mark to users whose identity has been verified and adds it to their profile information. It also manages participation rights in social events within the virtual environment, ensuring that only authenticated users can participate.

[0678] Input: Identity verification results, generated profile information

[0679] Output: Granting certification marks and managing participation rights for social events

[0680] Specific operation: The server adds an authentication mark to the profile of the user whose identity has been successfully verified and stores it in the database. Furthermore, it works in conjunction with the event management system in the virtual environment to implement access control so that only authenticated users can participate in events.

[0681] 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.

[0682] The present invention is a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the present invention enables personalized profile generation and matching based on the user's emotions. The system includes a terminal, a server, and data processing performed between them.

[0683] System configuration

[0684] 1. User operations and input

[0685] The user performs the initial setup

[0686] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0687] 2. Receiving and analyzing information

[0688] The device sends information

[0689] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0690] The server receives the information

[0691] The server receives user information and photos sent from the device in real time and stores them in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[0692] 3. Automatic profile generation

[0693] Server generates profile

[0694] The server's AI generates a reliable profile based on the received user information and the results of identity verification. Furthermore, the server analyzes the user's photos and uses an emotion recognition engine to recognize the user's emotions, and generates a self-introduction video based on this.

[0695] Examples:

[0696] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the AI ​​will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[0697] 4. Selecting a Matching Service

[0698] The server selects the best matching service

[0699] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[0700] For example, if the emotion recognition engine determines that the user has very positive emotions about music, a music-specialized matching service will be preferentially selected.

[0701] 5. Linking profiles

[0702] The server connects to the matching service

[0703] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0704] 6. Certification Mark Granting

[0705] The server provides the certification mark

[0706] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0707] Example of operation

[0708] When a user installs the app, enters information, and uploads photos, the server receives the data, and AI performs identity verification, analyzes preferences, and even recognizes emotions. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to be provided with a reliable encounter through the most suitable matching service.

[0709] The processing flow will be explained below.

[0710] Step 1:

[0711] The user performs the initial setup

[0712] Users install the dedicated application on their device, launch it, and then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0713] Step 2:

[0714] The device sends information

[0715] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0716] Step 3:

[0717] The server receives the information

[0718] The server receives the user information and photos sent from the terminal in real time and stores them in a database.

[0719] Step 4:

[0720] AI on the server performs identity verification

[0721] The AI ​​on the server analyzes the received photos and verifies the user's presence using facial recognition technology, which detects facial features and compares them with existing data in a database.

[0722] Step 5:

[0723] The server performs sentiment analysis

[0724] The emotion recognition engine on the server analyzes the received photo and video data to recognize the user's emotions. For example, it analyzes photos and videos of smiling people to determine whether the user is feeling positive emotions.

[0725] Step 6:

[0726] The server generates a profile and self-introduction video

[0727] The server's AI generates a reliable profile based on the received user information, the results of identity verification, and the results of the emotion recognition engine. In addition, the server analyzes the user's photos and generates an emotional self-introduction video.

[0728] Examples:

[0729] For example, if a user inputs that they love music and are an outdoorsy person, and a happy expression is recognized from a photo, the AI ​​and emotion recognition engine will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[0730] Step 7:

[0731] The server selects the best matching service

[0732] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information obtained from an emotion recognition engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[0733] Examples:

[0734] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[0735] Step 8:

[0736] The server shares profile information

[0737] The server automatically sends and links the generated profile text and self-introduction video to the selected matching service, thereby registering the user's information with each matching service.

[0738] Step 9:

[0739] The server provides the certification mark

[0740] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0741] Step 10:

[0742] Users use the matching service

[0743] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[0744] Example 2

[0745] 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."

[0746] Many current dating services require users to manually create detailed profiles and select appropriate dating services. The existence of fake profiles and profit-making users are also problems, reducing reliability. Furthermore, the lack of personalized matching based on users' emotions and preferences leads to a decline in the quality of encounters.

[0747] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0748] In this invention, the server is a system including means for receiving user information, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, a ubiquitous terminal, a service providing device, and data processing performed between them, and includes means for analyzing emotions using an emotion recognition engine using the received photo, and means for generating a profile text and self-introduction video based on the emotion information. This saves users the trouble of having to find an appropriate service from among the many matching services, eliminates fake profiles and users with profit-making purposes, provides reliable encounters, and enables personalized matching based on the user's emotions.

[0749] "Terminal" refers to an electronic device through which a user inputs and transmits information to a server.

[0750] "User Information" refers to the data that constitutes a user's personal identification information and profile, including, but not limited to, nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0751] "Server" refers to an information processing device that receives, stores, analyzes, and coordinates with the matching service.

[0752] "Reality verification" refers to the means by which the server verifies the authenticity of the user information received. Specifically, this includes facial recognition using a photo received from the device.

[0753] "Profile text" refers to a self-introduction text of a user that is generated by the server based on the user information.

[0754] "Self-introduction video" refers to video content for self-introduction that is generated by the server based on the user's photograph and emotional information.

[0755] "Matching service" refers to an online platform that facilitates meetings between users.

[0756] "Emotion recognition engine" refers to artificial intelligence technology for analyzing emotions from users' photos.

[0757] The term "authentication mark" refers to a mark indicating reliability that is given by the server to a user whose existence has been verified.

[0758] "Ubiquitous devices" refers to any electronic device (e.g., smartphone, tablet, PC) that allows users to access and input information at any time.

[0759] "Service providing device" refers to the server and related equipment used to provide and operate the matching service.

[0760] "Data processing" refers to a series of operations that receive, analyze, convert, store, and link user input information.

[0761] "Emotion information" refers to the emotion data analyzed from the user's photo by the emotion recognition engine.

[0762] The present invention provides a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the system enables personalized profile generation and matching based on the user's emotions. Detailed embodiments of the present invention will be described.

[0763] System Components

[0764] The system mainly consists of the following elements:

[0765] 1. Terminal: A device (such as a smartphone, tablet, or PC) through which a user enters and submits information.

[0766] 2. Server: A device that processes, stores, and analyzes received user information and connects with the matching service.

[0767] 3. Emotion recognition engine: Artificial intelligence that analyzes a user's emotions from a photo (e.g., Google Cloud Vision AI's emotion analysis function).

[0768] 4. Database: A system for storing user information.

[0769] User operations and input

[0770] The user installs and launches the dedicated application on their device, then enters and uploads the following information:

[0771] nickname

[0772] sex

[0773] height

[0774] body weight

[0775] age

[0776] address

[0777] Concerns

[0778] Social media account name

[0779] Profile photo

[0780] Receiving and analyzing information

[0781] The device sends the information entered by the user and the photo uploaded to the server. The server receives this information in real time and stores it in a database. The AI ​​on the server verifies the user's presence based on the received information and photo. This verification uses facial recognition technology (e.g., AWS Rekognition, Microsoft Face API).

[0782] Auto-generated profile

[0783] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generates a self-introduction video based on that.

[0784] Examples:

[0785] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the generated profile text will be "I'm an outdoorsy person who loves music festivals. I want to make new friends!" A self-introduction video will also be generated that emphasizes the happy expression.

[0786] Selecting a matching service

[0787] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's suitability to create a list of the most suitable services.

[0788] Examples:

[0789] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[0790] Linking profiles

[0791] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0792] Certification marking

[0793] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0794] Prompt sentences to input to the generative AI model

[0795] Examples of prompts users can use to introduce themselves include:

[0796] "Tell me about the most enjoyable travel destination."

[0797] "Tell me more about your hobbies and interests."

[0798] "What are you into these days?"

[0799] "Tell me how you would spend your ideal weekend."

[0800] These prompts can be used to gather detailed personal data from the user, which can be used to make the generated profile more detailed and personalized.

[0801] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0802] Step 1:

[0803] The user performs the initial setup

[0804] The user installs the dedicated application on their device and launches it. Within the app, the user enters necessary information such as nickname, gender, height, weight, age, address, interests, social media account name, and profile photo, and then uploads a photo. Once this information is entered into the application, the device compiles this data and prepares it to be sent to the server.

[0805] Input: User's nickname, gender, height, weight, age, address, interests, SNS account name, profile photo

[0806] Output: User information to send to the server

[0807] Step 2:

[0808] The device sends the information to the server

[0809] The device sends the information entered by the user and the photos uploaded to the server, including unifying the data format and encrypting it for secure transmission.

[0810] Input: User information (nickname, gender, height, weight, age, address, concerns, SNS account name, profile photo)

[0811] Output: User information sent to the server

[0812] Step 3:

[0813] The server receives and stores the information

[0814] The server receives user information sent from the device in real time and stores it in a database. The server analyzes the received data to check the format consistency and stores it correctly.

[0815] Input: User information sent from the device

[0816] Output: User information stored in the database

[0817] Step 4:

[0818] The server performs identity verification

[0819] The AI ​​on the server verifies the user's identity based on the received information and photo. In this step, it uses facial recognition technology to verify whether the uploaded photo is of a real person. Specifically, it uses AWS Rekognition and Microsoft Face API.

[0820] Input: User information, profile photo

[0821] Output: Existence confirmation result

[0822] Step 5:

[0823] The server automatically generates a profile

[0824] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generate a self-introduction video based on that. The emotion recognition engine uses the emotion analysis function of Google Cloud Vision AI.

[0825] Input: User information, existence verification result, profile photo

[0826] Output: Generated profile text and self-introduction video

[0827] Step 6:

[0828] The server selects the best matching service

[0829] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's aptitude to create a list of the most suitable services.

[0830] Input: Generated profile text, self-introduction video, preference information, emotional information

[0831] Output: A list of selected matching services

[0832] Step 7:

[0833] The server collaborates with the matching service

[0834] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0835] Input: Generated profile text, self-introduction video, list of selected matching services

[0836] Output: User information registered with each matching service

[0837] Step 8:

[0838] The server assigns the certification mark

[0839] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0840] Input: Existence verification result

[0841] Output: User profile with certification mark

[0842] (Application example 2)

[0843] 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."

[0844] Conventional matching services not only require a great deal of time and effort for users to find a suitable partner, but also have the problem of reduced reliability due to fake profiles and profit-seeking users. Furthermore, most services focus on online matching only, and do not offer the real-life experience of meeting someone in a brick-and-mortar store. Therefore, there is a need for a more effective and reliable matching system.

[0845] The identification process 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 receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile statement and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, and means for analyzing the user's emotions using an emotion recognition engine and recommending stores and events that will provide optimal meeting opportunities. This allows users to efficiently find suitable partners and enables reliable matching through meetings at actual stores.

[0846] The "means for receiving user information from the terminal" is a function for transmitting data and photos entered by the user from the terminal to the server.

[0847] "Means for verifying existence" refers to a function that verifies whether a user is an actual individual based on the data and photographs provided by the user.

[0848] The "means for generating profile text and self-introduction video" is a function that automatically creates appropriate text and video as a user's profile based on the received user information.

[0849] "Means for selecting the most suitable matching service for a user from among a plurality of matching services" refers to a function for selecting the service that is most suitable for the user's information from among a plurality of affiliated matching services.

[0850] "Means for linking profile text and self-introduction video to the selected matching service" is a function that automatically transfers the generated user profile and video to the selected matching service.

[0851] The "means for assigning an authentication mark" is a function for assigning an authentication mark to a user whose existence has been confirmed, to indicate the user's reliability.

[0852] The "means for analyzing a user's emotions using an emotion recognition engine" is an engine that analyzes photos and videos provided by the user to identify the emotions at that time.

[0853] "Means for recommending stores and events" is a function that recommends the most suitable physical stores and events to users based on an emotion recognition engine and other user information.

[0854] The present invention effectively utilizes terminals and servers to realize a highly reliable system for users to find suitable matches.

[0855] Basic system configuration

[0856] In this system, the server receives information provided by the user's device, analyzes the data using an emotion recognition engine and artificial intelligence (AI), generates a profile text and self-introduction video, and recommends optimal matching services, stores, and events.

[0857] User Input and Information Processing

[0858] Users install a dedicated application on their device and enter basic information (nickname, gender, age, hobbies, profile photo, etc.). This data is sent from the device to a server. The server stores the data received from the device in a database and uses facial recognition technology to verify the user's identity.

[0859] Generate a profile

[0860] Based on the received user information, the AI ​​on the server automatically generates a profile text and self-introduction video. Furthermore, an emotion recognition engine is used to analyze the user's emotions and reflect them in the profile and video. In this step, a generative AI model such as Python's textgenrnn is used.

[0861] As a specific example, if a user likes music and a happy expression is recognized from an uploaded photo, the generated profile text will be "I'm a user who loves music and has a fun personality. I'd like to make new friends!"

[0862] Matching services and store / event recommendations

[0863] Taking into account the generated profile information and emotional information, the server's AI selects the most suitable service from among multiple affiliated matchmaking services and brick-and-mortar stores. If the user's emotional state is very positive, stores and live music venues that hold music events will be recommended.

[0864] Information sharing and certification marking

[0865] The server automatically links the generated profile text and self-introduction video to selected matching services and recommended stores, and gives a certification mark to users whose existence has been confirmed.

[0866] Hardware and software used

[0867] Face recognition technology: OpenCV, face_recognition library

[0868] Emotion Recognition Engine: Emotion Recognition API

[0869] Generative AI model: textgenrnn

[0870] Examples of specific examples and prompts

[0871] For example, if a user inputs that they like "music" and the emotion recognition engine detects "happy," the profile text will be "A user who loves music and has a fun personality. I'm looking for new friends!" and the recommended stores will be "fun bars" and "music events."

[0872] Example prompt sentence:

[0873] The user likes music and has a happy mood. Generate the following self-introduction: I'm a user who likes music and has a happy mood. I'm looking for new friends!

[0874] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0875] Step 1:

[0876] The user enters basic information

[0877] Users enter basic information such as nickname, gender, age, hobbies, and profile picture into the application on their device, which then sends this information to the server.

[0878] Input: Nickname, gender, age, hobbies, profile photo

[0879] Output: Sending user information from the device to the server

[0880] Step 2:

[0881] The server receives the user information and verifies the user's identity.

[0882] The server receives the user information and photo sent from the device and stores them in a database.The server then uses facial recognition technology (e.g., OpenCV or the face_recognition library) to analyze the user's face in the photo and verify their identity.

[0883] Input: User information, profile photo

[0884] Output: Result of identity check (success / failure)

[0885] Step 3:

[0886] The server analyzes emotions and creates a profile

[0887] The server automatically generates a profile text using AI (e.g., textgenrnn) based on the received user information and the results of identity verification. It also analyzes the emotions in the photos using an emotion recognition engine (e.g., Emotion Recognition API) and generates a self-introduction video based on this.

[0888] Input: User information, profile photo, identity verification results

[0889] Output: Generated profile text and self-introduction video

[0890] Step 4:

[0891] The server selects the best matching service and store.

[0892] The server selects the most suitable matching service or store from among multiple affiliated matching services and stores, taking into consideration the generated profile information and emotion information. Based on the user's preferences and emotions, it recommends the most suitable events and meeting places.

[0893] Input: Generated profile text, emotion information

[0894] Output: Recommended matching services and stores

[0895] Step 5:

[0896] The server connects the profile information and assigns a certification mark

[0897] The server then links the generated profile text and self-introduction video to selected matching services and stores. Users who have completed identity verification are given a certification mark to guarantee their reliability.

[0898] Input: Generated profile text, self-introduction video, existence verification results

[0899] Output: Linking your profile to the selected matching service and adding a certification mark

[0900] 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.

[0901] 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.

[0902] 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.

[0903] [Third embodiment]

[0904] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0905] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0906] 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).

[0907] 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.

[0908] 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.

[0909] 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).

[0910] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0911] 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.

[0912] 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.

[0913] 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.

[0914] 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.

[0915] 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."

[0916] The present invention provides a system that eliminates the need for users to search for an appropriate service among many other matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. The system includes a terminal, a server, and data processing performed between them.

[0917] System configuration

[0918] 1. User operations and input

[0919] The user performs the initial setup

[0920] The user installs a dedicated application on their device and enters the following information:

[0921] nickname

[0922] sex

[0923] height

[0924] body weight

[0925] age

[0926] address

[0927] Concerns

[0928] Social media account name

[0929] photograph

[0930] The user enters this information into the app and submits it.

[0931] 2. Receiving and analyzing information

[0932] The server receives the information

[0933] The server receives user information sent from the device in real time and stores it in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[0934] 3. Automatic profile generation

[0935] Server generates profile

[0936] The server's AI automatically generates a reliable profile based on the received user information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information. The generated profile reflects the user's hobbies and characteristics.

[0937] Examples:

[0938] For example, if a user inputs that they love music and are an outdoorsy person, the AI ​​will generate a profile statement such as, "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video based on this.

[0939] 4. Selecting a Matching Service

[0940] The server selects the best matching service

[0941] The server selects the most suitable matching service for the user from among several affiliated matching services based on the generated profile information and the user's preferences. AI analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services.

[0942] For example, a music-focused matching service is selected for a music-loving user, and an outdoor-focused matching service is selected for an outdoor-loving user.

[0943] 5. Linking profiles

[0944] The server connects to the matching service

[0945] The server automatically links the generated profile text and self-introduction video to the selected matching service, allowing users to register with multiple matching services with a single input.

[0946] 6. Certification Mark Granting

[0947] The server provides the certification mark

[0948] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[0949] Example of operation

[0950] When a user installs the app, enters their information and uploads photos, the server receives the information and AI performs identity verification and analyzes their preferences. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to find reliable encounters with the most suitable matching service.

[0951] The processing flow will be explained below.

[0952] Step 1:

[0953] The user performs the initial setup

[0954] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[0955] Step 2:

[0956] The device sends information

[0957] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[0958] Step 3:

[0959] The server receives the information

[0960] The server receives user information and photos sent from the device in real time, and the received data is stored in a database.

[0961] Step 4:

[0962] AI on the server performs identity verification

[0963] The AI ​​on the server analyzes the received photo and uses facial recognition technology to verify the user's identity, detecting facial features and matching them with existing data in the database.

[0964] Step 5:

[0965] The server generates a profile and self-introduction video

[0966] The AI ​​on the server automatically generates a unique and attractive profile based on the user's input information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information.

[0967] Step 6:

[0968] The server selects the best matching service

[0969] The AI ​​on the server analyzes the generated profile information and user preferences, and selects the most suitable partner from among multiple partner matching services. This analysis includes comparing the characteristics of each matching service with the user's suitability.

[0970] Step 7:

[0971] The server shares profile information

[0972] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[0973] Step 8:

[0974] The server provides the certification mark

[0975] Once the identity verification is complete, the server assigns a certification mark to the user. This certification mark is added to the user's profile information and is displayed to other users on the matching service.

[0976] Step 9:

[0977] Users use the matching service

[0978] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[0979] Example 1

[0980] 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."

[0981] Current matching services face problems such as numerous fake profiles and fraudulent use by commercial users, making it difficult for users to find the right service. Furthermore, registering for multiple services requires users to enter personal information multiple times, which is extremely cumbersome for users. There is a need to build a system that can solve these problems and provide reliable encounters.

[0982] 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.

[0983] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable one for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected multiple matching services, means for assigning an authentication mark to a user whose existence has been verified, means for automatically completing the user's registration with the linked multiple matching services, and means for analyzing user preferences based on the generated profile text and self-introduction video. This makes it possible to easily provide highly reliable encounters across multiple matching services.

[0984] A "terminal" is an electronic device through which a user inputs information and communicates with a server.

[0985] "User information" refers to personal data that is entered by a user through a device and sent to a server, and specifically includes information such as nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[0986] "Identity verification" is the process by which the server uses the received user information and photo to verify whether the user actually exists.

[0987] The "profile text" is a self-introduction text in text format that is generated based on the user information, and describes the user's characteristics, hobbies, etc.

[0988] The "self-introduction video" is an automatically generated short video introduction message based on user information and photos.

[0989] A "matching service" is a service that supports online meetings and interactions between users.

[0990] An "authentication mark" is a digital badge that proves reliability and is given by the server to users whose existence has been verified.

[0991] "Preference information" refers to information about a user's interests, concerns, and preferences, and is used to select matching services.

[0992] MODE FOR CARRYING OUT THE INVENTION

[0993] The present invention is a system that reduces the effort required for users to find an appropriate matchmaking service from among the many available. Its purpose is to provide reliable encounters by eliminating fake profiles and users with commercial interests. The system includes a terminal, a server, and data processing between them.

[0994] 1. User operations and input

[0995] First, the user installs a dedicated application on their device, which provides an interface for the user to enter the following information:

[0996] nickname

[0997] sex

[0998] height

[0999] body weight

[1000] age

[1001] address

[1002] Concerns

[1003] Social media account name

[1004] photograph

[1005] The user enters this information and taps the send button to send it to the server. The device used is a general-purpose mobile device such as a smartphone or tablet.

[1006] 2. Server-side information reception and analysis

[1007] The server receives user information sent from the device in real time. The received data is stored in a database. The received photos are analyzed using an AI model (e.g., OpenCV, Amazon Rekognition) on the server, and identity verification is performed using facial recognition technology. Facial recognition technology is used to verify the authenticity of the photo and the user's existence.

[1008] 3. Automatic profile generation

[1009] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) generates a reliable profile and self-introduction video based on the user information. For example, if a user enters "I love music festivals and I'm an outdoorsy person," the profile text generated will be something like "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" At the same time, a self-introduction video based on this will also be generated.

[1010] 4. Selection and collaboration of matching services

[1011] The server selects the most suitable service from among multiple partner matching services based on the generated profile information and user preference information. The AI ​​model analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services. For example, a music-focused matching service may be selected for a music-loving user, and an outdoor-focused matching service for an outdoor-loving user.

[1012] The server sends an automatically generated profile text and self-introduction video to the selected matching service, and automatically registers the user with each service.

[1013] 5. Certification marking

[1014] The server assigns a certification mark to users whose identity verification has been successfully completed. This certification mark is added to the user's profile information and is displayed to other users on the selected matching service, allowing other users to recognize that the user is a trustworthy person.

[1015] Specific examples of actions and prompts

[1016] When a user installs the app, enters the required information and photos, and presses the send button, the server receives the data, and AI verifies the user's existence and analyzes their preferences. A profile and self-introduction video are then generated, and the most suitable matching service is selected. The profile information is linked to the selected service, and a certification mark is granted.

[1017] Prompt Sentence Examples

[1018] "Generate a reliable profile and self-introduction video for a user who loves music festivals and the outdoors."

[1019] Using these prompts, the generative AI model creates appropriate profile text and self-introduction videos to help users find the best matchmaking service.

[1020] Through the above process, users can easily find reliable matches across multiple matching services.

[1021] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1022] Step 1:

[1023] User enters information

[1024] Users install a dedicated application on their device and enter information such as their nickname, gender, height, weight, age, address, interests, social media account name, and photos. The entered information (input data) is sent to the server by tapping the send button (user information is generated as output data).

[1025] Step 2:

[1026] The server receives the information

[1027] The server receives user information sent from the terminal in real time and stores it in a database (input data is user information, output data is data stored in the database). Furthermore, based on this information, it formats the received content and converts it into an analyzable format.

[1028] Step 3:

[1029] The server performs identity verification

[1030] The server uses the received user information and photo to verify the identity of the person. It uses an AI model (e.g., OpenCV, Amazon Rekognition) to perform facial recognition on the received photo (input data is the photo and user information, output data is the identity verification result). This process uses facial recognition technology to verify that the photo is based on a real person.

[1031] Step 4:

[1032] Server generates profile

[1033] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) is used to generate a profile and self-introduction video based on the user information (input data is user information and identity verification results, output data is profile and self-introduction video). For example, if the user enters "I love music and I'm an outdoorsy person," the AI ​​will generate a profile that reads, "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" along with a self-introduction video based on this.

[1034] Step 5:

[1035] The server selects a matching service

[1036] The server analyzes the generated profile information and the user's preference information to select the most suitable matching service for the user (input data is the profile text and self-introduction video, output data is the selected matching service). The AI ​​model lists the most suitable service for the user from multiple partner matching services.

[1037] Step 6:

[1038] The server connects profiles

[1039] The server then sends an automatically generated profile statement and self-introduction video to the selected matching service and links them together (the input data is the profile statement and self-introduction video, and the output data is the linked profile information). This allows users to register with multiple matching services with a single input.

[1040] Step 7:

[1041] The server provides the certification mark

[1042] For users whose identity verification has been successfully completed, the server will assign a certification mark (input data is the identity verification result, output data is user information with the certification mark assigned). This certification mark will be added to the profile information and displayed on the selected matching service.

[1043] Step 8:

[1044] Users use the matching service

[1045] Users are automatically registered with each matching service along with a certification mark, and are provided with highly reliable encounters (input data is user information and a certification mark, output data is activity information on the matching service). This allows users to engage in activities while ensuring reliability across multiple matching services.

[1046] (Application example 1)

[1047] 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."

[1048] Conventional matching services require users to select an appropriate service from a wide range of options, which can be time-consuming and time-consuming. Furthermore, there is a high possibility that fake profiles and profit-seeking users may be mixed in, resulting in unreliable encounters. For this reason, a system that can provide users with reliable encounters is needed. Meanwhile, similar issues exist in social events in virtual environments, and a platform where trustworthy real users can interact with each other is needed.

[1049] 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.

[1050] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable service for the user from among multiple services, means for linking the generated profile statement and self-introduction video to the selected service, means for assigning an authentication mark to users whose existence has been verified, and means for managing participation rights in social events within the virtual environment. This allows users to register with multiple services with a single input, enabling reliable encounters and interactions. Furthermore, only users whose existence has been verified can participate in events in the virtual environment, providing a safe and reliable place for interaction.

[1051] A "terminal" is a computer device through which a user inputs information.

[1052] "User information" refers to personal information and various data entered by the user, including nickname, gender, height, weight, age, address, concerns, communication service account name, and photo.

[1053] "Identity verification" is the process of using received user information and photos to verify whether the user actually exists.

[1054] A "profile statement" is a statement that reflects the user's characteristics and hobbies and preferences, and is a description that allows others to understand the user's information.

[1055] The "self-introduction video" is a short video generated based on the user's photo and input information, and is video content that allows the user to introduce themselves.

[1056] "Services" refers to various online platforms and applications that may be used by Users.

[1057] An "authentication mark" is a proof of reliability given to a user whose existence has been verified, and serves as a mark that allows others to trust that user.

[1058] "Virtual environment" refers to a virtual interaction space or event space provided on the Internet.

[1059] "Participation authority" refers to permission to participate in a particular service or event, which is granted when a user meets certain conditions.

[1060] The present invention provides a system for enabling users to appropriately participate in a number of matchmaking services and social events within a virtual environment. The system includes a terminal, a server, and data processing performed between them.

[1061] System configuration

[1062] 1. User operations and input

[1063] Users install a dedicated application on their device and enter their nickname, gender, height, weight, age, address, concerns, communication service account name, and photo. This information is then sent from the device to the server.

[1064] 2. Receipt of information and verification of existence

[1065] The server receives and stores user information sent from the device in real time. The AI ​​on the server analyzes the received photos using the DeepFace library and performs facial recognition to verify the user's identity.

[1066] 3. Automatic profile generation

[1067] For users whose identity has been verified, the server's AI automatically generates a reliable profile and self-introduction video based on the information it receives. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" and create a self-introduction video based on this.

[1068] 4. Service Selection

[1069] The server selects an appropriate service from among multiple affiliated services based on the generated profile information and user preference information. For example, it may select a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[1070] 5. Linking profile information

[1071] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[1072] 6. Granting of Certification Marks and Management of Event Participation Rights

[1073] Once the identity verification is complete, a verification mark is given to the user and added to their profile information. The system also manages participation rights in social events within the virtual environment, ensuring that only verified users can participate.

[1074] Hardware and software used

[1075] Hardware:

[1076] Smartphone (for entering user information)

[1077] Server computers (information storage and processing)

[1078] software:

[1079] DeepFace library (for face recognition)

[1080] Flask (for building web applications)

[1081] This allows users to register for multiple services with a single entry, enabling highly reliable encounters and interactions. Furthermore, only users whose existence has been confirmed can participate in virtual events, providing a safe and reliable forum for interaction.

[1082] Specific examples and examples of generative AI model prompts

[1083] Examples:

[1084] A user uses the app and registers with the nickname "Yamada Taro," gender "male," age "25," and hobby "soccer." They then upload a photo and are authenticated by AI. After authentication, a profile statement is generated: "Yamada Taro is a 25-year-old user who loves soccer." The generated profile information is automatically linked to a soccer-specialized service. Authenticated users are then able to participate in virtual soccer events.

[1085] Example of a generative AI model prompt:

[1086] Nickname: Yamada Taro

[1087] Gender: Male

[1088] Age: 25

[1089] Hobbies: Soccer

[1090] Based on the above information, please generate a profile statement that characterizes the user.

[1091] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1092] Step 1:

[1093] The user installs a dedicated application on the device and inputs initial information, including nickname, gender, height, weight, age, address, interests, communication service account name, and photo. Once input is complete, the device sends this information to the server.

[1094] Input: User's nickname, gender, height, weight, age, address, interests, communication service account name, photo

[1095] Output: User information is sent to the server

[1096] Specific operation: When the user enters information and presses the "Submit" button, the device converts the input data into JSON format and sends it to the server's API endpoint.

[1097] Step 2:

[1098] The server receives user information sent from the device in real time and stores it in a database. It also uses the DeepFace library to perform facial recognition on photos and verify the user's identity.

[1099] Input: User information and photo received from the device

[1100] Output: Identity verification result and saved user information

[1101] Specific operation: The server saves the received data in a database and calls the DeepFace library to perform face recognition. The result of face recognition is saved as "authentication successful" or "authentication failed."

[1102] Step 3:

[1103] The server's AI automatically generates a reliable profile and self-introduction video based on the received user information. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile and self-introduction video such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!"

[1104] Input: User information and identity verification result

[1105] Output: Auto-generated profile text and self-introduction video

[1106] How it works: The server's AI performs natural language processing (NLP) based on the received user information, creates a profile text using a generative AI model, and then generates a short self-introduction video using the user's photo and input information.

[1107] Step 4:

[1108] The server selects the most suitable service for a user from among the multiple affiliated services based on the generated profile information and user preference information. For example, it selects a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[1109] Input: Automatically generated profile text and self-introduction video, user preferences

[1110] Output: Selected optimal service

[1111] What it does: The server queries a database of affiliated services and runs an algorithm to select services that match the user's preferences.

[1112] Step 5:

[1113] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[1114] Input: Selected service, automatically generated profile text and self-introduction video

[1115] Output: Linking profile information to the service

[1116] Specific operation: The server uses the API to communicate with each service and send user information. If the transmission is successful, the user is registered with each service.

[1117] Step 6:

[1118] The server assigns a verification mark to users whose identity has been verified and adds it to their profile information. It also manages participation rights in social events within the virtual environment, ensuring that only authenticated users can participate.

[1119] Input: Identity verification results, generated profile information

[1120] Output: Granting certification marks and managing participation rights for social events

[1121] Specific operation: The server adds an authentication mark to the profile of the user whose identity has been successfully verified and stores it in the database. Furthermore, it works in conjunction with the event management system in the virtual environment to implement access control so that only authenticated users can participate in events.

[1122] 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.

[1123] The present invention is a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the present invention enables personalized profile generation and matching based on the user's emotions. The system includes a terminal, a server, and data processing performed between them.

[1124] System configuration

[1125] 1. User operations and input

[1126] The user performs the initial setup

[1127] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[1128] 2. Receiving and analyzing information

[1129] The device sends information

[1130] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[1131] The server receives the information

[1132] The server receives user information and photos sent from the device in real time and stores them in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[1133] 3. Automatic profile generation

[1134] Server generates profile

[1135] The server's AI generates a reliable profile based on the received user information and the results of identity verification. Furthermore, the server analyzes the user's photos and uses an emotion recognition engine to recognize the user's emotions, and generates a self-introduction video based on this.

[1136] Examples:

[1137] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the AI ​​will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[1138] 4. Selecting a Matching Service

[1139] The server selects the best matching service

[1140] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[1141] For example, if the emotion recognition engine determines that the user has very positive emotions about music, a music-specialized matching service will be preferentially selected.

[1142] 5. Linking profiles

[1143] The server connects to the matching service

[1144] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1145] 6. Certification Mark Granting

[1146] The server provides the certification mark

[1147] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1148] Example of operation

[1149] When a user installs the app, enters information, and uploads photos, the server receives the data, and AI performs identity verification, analyzes preferences, and even recognizes emotions. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to be provided with a reliable encounter through the most suitable matching service.

[1150] The processing flow will be explained below.

[1151] Step 1:

[1152] The user performs the initial setup

[1153] Users install the dedicated application on their device, launch it, and then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[1154] Step 2:

[1155] The device sends information

[1156] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[1157] Step 3:

[1158] The server receives the information

[1159] The server receives the user information and photos sent from the terminal in real time and stores them in a database.

[1160] Step 4:

[1161] AI on the server performs identity verification

[1162] The AI ​​on the server analyzes the received photos and verifies the user's presence using facial recognition technology, which detects facial features and compares them with existing data in a database.

[1163] Step 5:

[1164] The server performs sentiment analysis

[1165] The emotion recognition engine on the server analyzes the received photo and video data to recognize the user's emotions. For example, it analyzes photos and videos of smiling people to determine whether the user is feeling positive emotions.

[1166] Step 6:

[1167] The server generates a profile and self-introduction video

[1168] The server's AI generates a reliable profile based on the received user information, the results of identity verification, and the results of the emotion recognition engine. In addition, the server analyzes the user's photos and generates an emotional self-introduction video.

[1169] Examples:

[1170] For example, if a user inputs that they love music and are an outdoorsy person, and a happy expression is recognized from a photo, the AI ​​and emotion recognition engine will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[1171] Step 7:

[1172] The server selects the best matching service

[1173] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information obtained from an emotion recognition engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[1174] Examples:

[1175] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[1176] Step 8:

[1177] The server shares profile information

[1178] The server automatically sends and links the generated profile text and self-introduction video to the selected matching service, thereby registering the user's information with each matching service.

[1179] Step 9:

[1180] The server provides the certification mark

[1181] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1182] Step 10:

[1183] Users use the matching service

[1184] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[1185] Example 2

[1186] 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."

[1187] Many current dating services require users to manually create detailed profiles and select appropriate dating services. The existence of fake profiles and profit-making users are also problems, reducing reliability. Furthermore, the lack of personalized matching based on users' emotions and preferences leads to a decline in the quality of encounters.

[1188] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1189] In this invention, the server is a system including means for receiving user information, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, a ubiquitous terminal, a service providing device, and data processing performed between them, and includes means for analyzing emotions using an emotion recognition engine using the received photo, and means for generating a profile text and self-introduction video based on the emotion information. This saves users the trouble of having to find an appropriate service from among the many matching services, eliminates fake profiles and users with profit-making purposes, provides reliable encounters, and enables personalized matching based on the user's emotions.

[1190] "Terminal" refers to an electronic device through which a user inputs and transmits information to a server.

[1191] "User Information" refers to the data that constitutes a user's personal identification information and profile, including, but not limited to, nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[1192] "Server" refers to an information processing device that receives, stores, analyzes, and coordinates with the matching service.

[1193] "Reality verification" refers to the means by which the server verifies the authenticity of the user information received. Specifically, this includes facial recognition using a photo received from the device.

[1194] "Profile text" refers to a self-introduction text of a user that is generated by the server based on the user information.

[1195] "Self-introduction video" refers to video content for self-introduction that is generated by the server based on the user's photograph and emotional information.

[1196] "Matching service" refers to an online platform that facilitates meetings between users.

[1197] "Emotion recognition engine" refers to artificial intelligence technology for analyzing emotions from users' photos.

[1198] The term "authentication mark" refers to a mark indicating reliability that is given by the server to a user whose existence has been verified.

[1199] "Ubiquitous devices" refers to any electronic device (e.g., smartphone, tablet, PC) that allows users to access and input information at any time.

[1200] "Service providing device" refers to the server and related equipment used to provide and operate the matching service.

[1201] "Data processing" refers to a series of operations that receive, analyze, convert, store, and link user input information.

[1202] "Emotion information" refers to the emotion data analyzed from the user's photo by the emotion recognition engine.

[1203] The present invention provides a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the system enables personalized profile generation and matching based on the user's emotions. Detailed embodiments of the present invention will be described.

[1204] System Components

[1205] The system mainly consists of the following elements:

[1206] 1. Terminal: A device (such as a smartphone, tablet, or PC) through which a user enters and submits information.

[1207] 2. Server: A device that processes, stores, and analyzes received user information and connects with the matching service.

[1208] 3. Emotion recognition engine: Artificial intelligence that analyzes a user's emotions from a photo (e.g., Google Cloud Vision AI's emotion analysis function).

[1209] 4. Database: A system for storing user information.

[1210] User operations and input

[1211] The user installs and launches the dedicated application on their device, then enters and uploads the following information:

[1212] nickname

[1213] sex

[1214] height

[1215] body weight

[1216] age

[1217] address

[1218] Concerns

[1219] Social media account name

[1220] Profile photo

[1221] Receiving and analyzing information

[1222] The device sends the information entered by the user and the photo uploaded to the server. The server receives this information in real time and stores it in a database. The AI ​​on the server verifies the user's presence based on the received information and photo. This verification uses facial recognition technology (e.g., AWS Rekognition, Microsoft Face API).

[1223] Auto-generated profile

[1224] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generates a self-introduction video based on that.

[1225] Examples:

[1226] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the generated profile text will be "I'm an outdoorsy person who loves music festivals. I want to make new friends!" A self-introduction video will also be generated that emphasizes the happy expression.

[1227] Selecting a matching service

[1228] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's suitability to create a list of the most suitable services.

[1229] Examples:

[1230] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[1231] Linking profiles

[1232] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1233] Certification marking

[1234] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1235] Prompt sentences to input to the generative AI model

[1236] Examples of prompts users can use to introduce themselves include:

[1237] "Tell me about the most enjoyable travel destination."

[1238] "Tell me more about your hobbies and interests."

[1239] "What are you into these days?"

[1240] "Tell me how you would spend your ideal weekend."

[1241] These prompts can be used to gather detailed personal data from the user, which can be used to make the generated profile more detailed and personalized.

[1242] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1243] Step 1:

[1244] The user performs the initial setup

[1245] The user installs the dedicated application on their device and launches it. Within the app, the user enters necessary information such as nickname, gender, height, weight, age, address, interests, social media account name, and profile photo, and then uploads a photo. Once this information is entered into the application, the device compiles this data and prepares it to be sent to the server.

[1246] Input: User's nickname, gender, height, weight, age, address, interests, SNS account name, profile photo

[1247] Output: User information to send to the server

[1248] Step 2:

[1249] The device sends the information to the server

[1250] The device sends the information entered by the user and the photos uploaded to the server, including unifying the data format and encrypting it for secure transmission.

[1251] Input: User information (nickname, gender, height, weight, age, address, concerns, SNS account name, profile photo)

[1252] Output: User information sent to the server

[1253] Step 3:

[1254] The server receives and stores the information

[1255] The server receives user information sent from the device in real time and stores it in a database. The server analyzes the received data to check the format consistency and stores it correctly.

[1256] Input: User information sent from the device

[1257] Output: User information stored in the database

[1258] Step 4:

[1259] The server performs identity verification

[1260] The AI ​​on the server verifies the user's identity based on the received information and photo. In this step, it uses facial recognition technology to verify whether the uploaded photo is of a real person. Specifically, it uses AWS Rekognition and Microsoft Face API.

[1261] Input: User information, profile photo

[1262] Output: Existence confirmation result

[1263] Step 5:

[1264] The server automatically generates a profile

[1265] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generate a self-introduction video based on that. The emotion recognition engine uses the emotion analysis function of Google Cloud Vision AI.

[1266] Input: User information, existence verification result, profile photo

[1267] Output: Generated profile text and self-introduction video

[1268] Step 6:

[1269] The server selects the best matching service

[1270] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's aptitude to create a list of the most suitable services.

[1271] Input: Generated profile text, self-introduction video, preference information, emotional information

[1272] Output: A list of selected matching services

[1273] Step 7:

[1274] The server collaborates with the matching service

[1275] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1276] Input: Generated profile text, self-introduction video, list of selected matching services

[1277] Output: User information registered with each matching service

[1278] Step 8:

[1279] The server assigns the certification mark

[1280] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1281] Input: Existence verification result

[1282] Output: User profile with certification mark

[1283] (Application example 2)

[1284] 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."

[1285] Conventional matching services not only require a great deal of time and effort for users to find a suitable partner, but also have the problem of reduced reliability due to fake profiles and profit-seeking users. Furthermore, most services focus on online matching only, and do not offer the real-life experience of meeting someone in a brick-and-mortar store. Therefore, there is a need for a more effective and reliable matching system.

[1286] The identification process 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 receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile statement and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, and means for analyzing the user's emotions using an emotion recognition engine and recommending stores and events that will provide optimal meeting opportunities. This allows users to efficiently find suitable partners and enables reliable matching through meetings at actual stores.

[1287] The "means for receiving user information from the terminal" is a function for transmitting data and photos entered by the user from the terminal to the server.

[1288] "Means for verifying existence" refers to a function that verifies whether a user is an actual individual based on the data and photographs provided by the user.

[1289] The "means for generating profile text and self-introduction video" is a function that automatically creates appropriate text and video as a user's profile based on the received user information.

[1290] "Means for selecting the most suitable matching service for a user from among a plurality of matching services" refers to a function for selecting the service that is most suitable for the user's information from among a plurality of affiliated matching services.

[1291] "Means for linking profile text and self-introduction video to the selected matching service" is a function that automatically transfers the generated user profile and video to the selected matching service.

[1292] The "means for assigning an authentication mark" is a function for assigning an authentication mark to a user whose existence has been confirmed, to indicate the user's reliability.

[1293] The "means for analyzing a user's emotions using an emotion recognition engine" is an engine that analyzes photos and videos provided by the user to identify the emotions at that time.

[1294] "Means for recommending stores and events" is a function that recommends the most suitable physical stores and events to users based on an emotion recognition engine and other user information.

[1295] The present invention effectively utilizes terminals and servers to realize a highly reliable system for users to find suitable matches.

[1296] Basic system configuration

[1297] In this system, the server receives information provided by the user's device, analyzes the data using an emotion recognition engine and artificial intelligence (AI), generates a profile text and self-introduction video, and recommends optimal matching services, stores, and events.

[1298] User Input and Information Processing

[1299] Users install a dedicated application on their device and enter basic information (nickname, gender, age, hobbies, profile photo, etc.). This data is sent from the device to a server. The server stores the data received from the device in a database and uses facial recognition technology to verify the user's identity.

[1300] Generate a profile

[1301] Based on the received user information, the AI ​​on the server automatically generates a profile text and self-introduction video. Furthermore, an emotion recognition engine is used to analyze the user's emotions and reflect them in the profile and video. In this step, a generative AI model such as Python's textgenrnn is used.

[1302] As a specific example, if a user likes music and a happy expression is recognized from an uploaded photo, the generated profile text will be "I'm a user who loves music and has a fun personality. I'd like to make new friends!"

[1303] Matching services and store / event recommendations

[1304] Taking into account the generated profile information and emotional information, the server's AI selects the most suitable service from among multiple affiliated matchmaking services and brick-and-mortar stores. If the user's emotional state is very positive, stores and live music venues that hold music events will be recommended.

[1305] Information sharing and certification marking

[1306] The server automatically links the generated profile text and self-introduction video to selected matching services and recommended stores, and gives a certification mark to users whose existence has been confirmed.

[1307] Hardware and software used

[1308] Face recognition technology: OpenCV, face_recognition library

[1309] Emotion Recognition Engine: Emotion Recognition API

[1310] Generative AI model: textgenrnn

[1311] Examples of specific examples and prompts

[1312] For example, if a user inputs that they like "music" and the emotion recognition engine detects "happy," the profile text will be "A user who loves music and has a fun personality. I'm looking for new friends!" and the recommended stores will be "fun bars" and "music events."

[1313] Example prompt sentence:

[1314] The user likes music and has a happy mood. Generate the following self-introduction: I'm a user who likes music and has a happy mood. I'm looking for new friends!

[1315] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1316] Step 1:

[1317] The user enters basic information

[1318] Users enter basic information such as nickname, gender, age, hobbies, and profile picture into the application on their device, which then sends this information to the server.

[1319] Input: Nickname, gender, age, hobbies, profile photo

[1320] Output: Sending user information from the device to the server

[1321] Step 2:

[1322] The server receives the user information and verifies the user's identity.

[1323] The server receives the user information and photo sent from the device and stores them in a database.The server then uses facial recognition technology (e.g., OpenCV or the face_recognition library) to analyze the user's face in the photo and verify their identity.

[1324] Input: User information, profile photo

[1325] Output: Result of identity check (success / failure)

[1326] Step 3:

[1327] The server analyzes emotions and creates a profile

[1328] The server automatically generates a profile text using AI (e.g., textgenrnn) based on the received user information and the results of identity verification. It also analyzes the emotions in the photos using an emotion recognition engine (e.g., Emotion Recognition API) and generates a self-introduction video based on this.

[1329] Input: User information, profile photo, identity verification results

[1330] Output: Generated profile text and self-introduction video

[1331] Step 4:

[1332] The server selects the best matching service and store.

[1333] The server selects the most suitable matching service or store from among multiple affiliated matching services and stores, taking into consideration the generated profile information and emotion information. Based on the user's preferences and emotions, it recommends the most suitable events and meeting places.

[1334] Input: Generated profile text, emotion information

[1335] Output: Recommended matching services and stores

[1336] Step 5:

[1337] The server connects the profile information and assigns a certification mark

[1338] The server then links the generated profile text and self-introduction video to selected matching services and stores. Users who have completed identity verification are given a certification mark to guarantee their reliability.

[1339] Input: Generated profile text, self-introduction video, existence verification results

[1340] Output: Linking your profile to the selected matching service and adding a certification mark

[1341] 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.

[1342] 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.

[1343] 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.

[1344] [Fourth embodiment]

[1345] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1346] 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.

[1347] 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).

[1348] 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.

[1349] 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.

[1350] 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).

[1351] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1352] 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.

[1353] 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.

[1354] 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.

[1355] 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.

[1356] 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.

[1357] 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."

[1358] The present invention provides a system that eliminates the need for users to search for an appropriate service among many other matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. The system includes a terminal, a server, and data processing performed between them.

[1359] System configuration

[1360] 1. User operations and input

[1361] The user performs the initial setup

[1362] The user installs a dedicated application on their device and enters the following information:

[1363] nickname

[1364] sex

[1365] height

[1366] body weight

[1367] age

[1368] address

[1369] Concerns

[1370] Social media account name

[1371] photograph

[1372] The user enters this information into the app and submits it.

[1373] 2. Receiving and analyzing information

[1374] The server receives the information

[1375] The server receives user information sent from the device in real time and stores it in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[1376] 3. Automatic profile generation

[1377] Server generates profile

[1378] The server's AI automatically generates a reliable profile based on the received user information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information. The generated profile reflects the user's hobbies and characteristics.

[1379] Examples:

[1380] For example, if a user inputs that they love music and are an outdoorsy person, the AI ​​will generate a profile statement such as, "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video based on this.

[1381] 4. Selecting a Matching Service

[1382] The server selects the best matching service

[1383] The server selects the most suitable matching service for the user from among several affiliated matching services based on the generated profile information and the user's preferences. AI analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services.

[1384] For example, a music-focused matching service is selected for a music-loving user, and an outdoor-focused matching service is selected for an outdoor-loving user.

[1385] 5. Linking profiles

[1386] The server connects to the matching service

[1387] The server automatically links the generated profile text and self-introduction video to the selected matching service, allowing users to register with multiple matching services with a single input.

[1388] 6. Certification Mark Granting

[1389] The server provides the certification mark

[1390] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1391] Example of operation

[1392] When a user installs the app, enters their information and uploads photos, the server receives the information and AI performs identity verification and analyzes their preferences. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to find reliable encounters with the most suitable matching service.

[1393] The processing flow will be explained below.

[1394] Step 1:

[1395] The user performs the initial setup

[1396] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[1397] Step 2:

[1398] The device sends information

[1399] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[1400] Step 3:

[1401] The server receives the information

[1402] The server receives user information and photos sent from the device in real time, and the received data is stored in a database.

[1403] Step 4:

[1404] AI on the server performs identity verification

[1405] The AI ​​on the server analyzes the received photo and uses facial recognition technology to verify the user's identity, detecting facial features and matching them with existing data in the database.

[1406] Step 5:

[1407] The server generates a profile and self-introduction video

[1408] The AI ​​on the server automatically generates a unique and attractive profile based on the user's input information and the results of identity verification. It also generates a short self-introduction video based on the user's photo and input information.

[1409] Step 6:

[1410] The server selects the best matching service

[1411] The AI ​​on the server analyzes the generated profile information and user preferences, and selects the most suitable partner from among multiple partner matching services. This analysis includes comparing the characteristics of each matching service with the user's suitability.

[1412] Step 7:

[1413] The server shares profile information

[1414] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1415] Step 8:

[1416] The server provides the certification mark

[1417] Once the identity verification is complete, the server assigns a certification mark to the user. This certification mark is added to the user's profile information and is displayed to other users on the matching service.

[1418] Step 9:

[1419] Users use the matching service

[1420] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[1421] Example 1

[1422] 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."

[1423] Current matching services face problems such as numerous fake profiles and fraudulent use by commercial users, making it difficult for users to find the right service. Furthermore, registering for multiple services requires users to enter personal information multiple times, which is extremely cumbersome for users. There is a need to build a system that can solve these problems and provide reliable encounters.

[1424] 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.

[1425] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable one for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected multiple matching services, means for assigning an authentication mark to a user whose existence has been verified, means for automatically completing the user's registration with the linked multiple matching services, and means for analyzing user preferences based on the generated profile text and self-introduction video. This makes it possible to easily provide highly reliable encounters across multiple matching services.

[1426] A "terminal" is an electronic device through which a user inputs information and communicates with a server.

[1427] "User information" refers to personal data that is entered by a user through a device and sent to a server, and specifically includes information such as nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[1428] "Identity verification" is the process by which the server uses the received user information and photo to verify whether the user actually exists.

[1429] The "profile text" is a self-introduction text in text format that is generated based on the user information, and describes the user's characteristics, hobbies, etc.

[1430] The "self-introduction video" is an automatically generated short video introduction message based on user information and photos.

[1431] A "matching service" is a service that supports online meetings and interactions between users.

[1432] An "authentication mark" is a digital badge that proves reliability and is given by the server to users whose existence has been verified.

[1433] "Preference information" refers to information about a user's interests, concerns, and preferences, and is used to select matching services.

[1434] MODE FOR CARRYING OUT THE INVENTION

[1435] The present invention is a system that reduces the effort required for users to find an appropriate matchmaking service from among the many available. Its purpose is to provide reliable encounters by eliminating fake profiles and users with commercial interests. The system includes a terminal, a server, and data processing between them.

[1436] 1. User operations and input

[1437] First, the user installs a dedicated application on their device, which provides an interface for the user to enter the following information:

[1438] nickname

[1439] sex

[1440] height

[1441] body weight

[1442] age

[1443] address

[1444] Concerns

[1445] Social media account name

[1446] photograph

[1447] The user enters this information and taps the send button to send it to the server. The device used is a general-purpose mobile device such as a smartphone or tablet.

[1448] 2. Server-side information reception and analysis

[1449] The server receives user information sent from the device in real time. The received data is stored in a database. The received photos are analyzed using an AI model (e.g., OpenCV, Amazon Rekognition) on the server, and identity verification is performed using facial recognition technology. Facial recognition technology is used to verify the authenticity of the photo and the user's existence.

[1450] 3. Automatic profile generation

[1451] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) generates a reliable profile and self-introduction video based on the user information. For example, if a user enters "I love music festivals and I'm an outdoorsy person," the profile text generated will be something like "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" At the same time, a self-introduction video based on this will also be generated.

[1452] 4. Selection and collaboration of matching services

[1453] The server selects the most suitable service from among multiple partner matching services based on the generated profile information and user preference information. The AI ​​model analyzes the characteristics of each matching service and the user's suitability, and lists the most suitable services. For example, a music-focused matching service may be selected for a music-loving user, and an outdoor-focused matching service for an outdoor-loving user.

[1454] The server sends an automatically generated profile text and self-introduction video to the selected matching service, and automatically registers the user with each service.

[1455] 5. Certification marking

[1456] The server assigns a certification mark to users whose identity verification has been successfully completed. This certification mark is added to the user's profile information and is displayed to other users on the selected matching service, allowing other users to recognize that the user is a trustworthy person.

[1457] Specific examples of actions and prompts

[1458] When a user installs the app, enters the required information and photos, and presses the send button, the server receives the data, and AI verifies the user's existence and analyzes their preferences. A profile and self-introduction video are then generated, and the most suitable matching service is selected. The profile information is linked to the selected service, and a certification mark is granted.

[1459] Prompt Sentence Examples

[1460] "Generate a reliable profile and self-introduction video for a user who loves music festivals and the outdoors."

[1461] Using these prompts, the generative AI model creates appropriate profile text and self-introduction videos to help users find the best matchmaking service.

[1462] Through the above process, users can easily find reliable matches across multiple matching services.

[1463] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1464] Step 1:

[1465] User enters information

[1466] Users install a dedicated application on their device and enter information such as their nickname, gender, height, weight, age, address, interests, social media account name, and photos. The entered information (input data) is sent to the server by tapping the send button (user information is generated as output data).

[1467] Step 2:

[1468] The server receives the information

[1469] The server receives user information sent from the terminal in real time and stores it in a database (input data is user information, output data is data stored in the database). Furthermore, based on this information, it formats the received content and converts it into an analyzable format.

[1470] Step 3:

[1471] The server performs identity verification

[1472] The server uses the received user information and photo to verify the identity of the person. It uses an AI model (e.g., OpenCV, Amazon Rekognition) to perform facial recognition on the received photo (input data is the photo and user information, output data is the identity verification result). This process uses facial recognition technology to verify that the photo is based on a real person.

[1473] Step 4:

[1474] Server generates profile

[1475] After the identity verification is complete, the server's AI model (e.g., GPT-3 or DALL-E) is used to generate a profile and self-introduction video based on the user information (input data is user information and identity verification results, output data is profile and self-introduction video). For example, if the user enters "I love music and I'm an outdoorsy person," the AI ​​will generate a profile that reads, "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" along with a self-introduction video based on this.

[1476] Step 5:

[1477] The server selects a matching service

[1478] The server analyzes the generated profile information and the user's preference information to select the most suitable matching service for the user (input data is the profile text and self-introduction video, output data is the selected matching service). The AI ​​model lists the most suitable service for the user from multiple partner matching services.

[1479] Step 6:

[1480] The server connects profiles

[1481] The server then sends an automatically generated profile statement and self-introduction video to the selected matching service and links them together (the input data is the profile statement and self-introduction video, and the output data is the linked profile information). This allows users to register with multiple matching services with a single input.

[1482] Step 7:

[1483] The server provides the certification mark

[1484] For users whose identity verification has been successfully completed, the server will assign a certification mark (input data is the identity verification result, output data is user information with the certification mark assigned). This certification mark will be added to the profile information and displayed on the selected matching service.

[1485] Step 8:

[1486] Users use the matching service

[1487] Users are automatically registered with each matching service along with a certification mark, and are provided with highly reliable encounters (input data is user information and a certification mark, output data is activity information on the matching service). This allows users to engage in activities while ensuring reliability across multiple matching services.

[1488] (Application example 1)

[1489] 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."

[1490] Conventional matching services require users to select an appropriate service from a wide range of options, which can be time-consuming and time-consuming. Furthermore, there is a high possibility that fake profiles and profit-seeking users may be mixed in, resulting in unreliable encounters. For this reason, a system that can provide users with reliable encounters is needed. Meanwhile, similar issues exist in social events in virtual environments, and a platform where trustworthy real users can interact with each other is needed.

[1491] 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.

[1492] In this invention, the server includes means for receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable service for the user from among multiple services, means for linking the generated profile statement and self-introduction video to the selected service, means for assigning an authentication mark to users whose existence has been verified, and means for managing participation rights in social events within the virtual environment. This allows users to register with multiple services with a single input, enabling reliable encounters and interactions. Furthermore, only users whose existence has been verified can participate in events in the virtual environment, providing a safe and reliable place for interaction.

[1493] A "terminal" is a computer device through which a user inputs information.

[1494] "User information" refers to personal information and various data entered by the user, including nickname, gender, height, weight, age, address, concerns, communication service account name, and photo.

[1495] "Identity verification" is the process of using received user information and photos to verify whether the user actually exists.

[1496] A "profile statement" is a statement that reflects the user's characteristics and hobbies and preferences, and is a description that allows others to understand the user's information.

[1497] The "self-introduction video" is a short video generated based on the user's photo and input information, and is video content that allows the user to introduce themselves.

[1498] "Services" refers to various online platforms and applications that may be used by Users.

[1499] An "authentication mark" is a proof of reliability given to a user whose existence has been verified, and serves as a mark that allows others to trust that user.

[1500] "Virtual environment" refers to a virtual interaction space or event space provided on the Internet.

[1501] "Participation authority" refers to permission to participate in a particular service or event, which is granted when a user meets certain conditions.

[1502] The present invention provides a system for enabling users to appropriately participate in a number of matchmaking services and social events within a virtual environment. The system includes a terminal, a server, and data processing performed between them.

[1503] System configuration

[1504] 1. User operations and input

[1505] Users install a dedicated application on their device and enter their nickname, gender, height, weight, age, address, concerns, communication service account name, and photo. This information is then sent from the device to the server.

[1506] 2. Receipt of information and verification of existence

[1507] The server receives and stores user information sent from the device in real time. The AI ​​on the server analyzes the received photos using the DeepFace library and performs facial recognition to verify the user's identity.

[1508] 3. Automatic profile generation

[1509] For users whose identity has been verified, the server's AI automatically generates a reliable profile and self-introduction video based on the information it receives. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!" and create a self-introduction video based on this.

[1510] 4. Service Selection

[1511] The server selects an appropriate service from among multiple affiliated services based on the generated profile information and user preference information. For example, it may select a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[1512] 5. Linking profile information

[1513] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[1514] 6. Granting of Certification Marks and Management of Event Participation Rights

[1515] Once the identity verification is complete, a verification mark is given to the user and added to their profile information. The system also manages participation rights in social events within the virtual environment, ensuring that only verified users can participate.

[1516] Hardware and software used

[1517] Hardware:

[1518] Smartphone (for entering user information)

[1519] Server computers (information storage and processing)

[1520] software:

[1521] DeepFace library (for face recognition)

[1522] Flask (for building web applications)

[1523] This allows users to register for multiple services with a single entry, enabling highly reliable encounters and interactions. Furthermore, only users whose existence has been confirmed can participate in virtual events, providing a safe and reliable forum for interaction.

[1524] Specific examples and examples of generative AI model prompts

[1525] Examples:

[1526] A user uses the app and registers with the nickname "Yamada Taro," gender "male," age "25," and hobby "soccer." They then upload a photo and are authenticated by AI. After authentication, a profile statement is generated: "Yamada Taro is a 25-year-old user who loves soccer." The generated profile information is automatically linked to a soccer-specialized service. Authenticated users are then able to participate in virtual soccer events.

[1527] Example of a generative AI model prompt:

[1528] Nickname: Yamada Taro

[1529] Gender: Male

[1530] Age: 25

[1531] Hobbies: Soccer

[1532] Based on the above information, please generate a profile statement that characterizes the user.

[1533] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1534] Step 1:

[1535] The user installs a dedicated application on the device and inputs initial information, including nickname, gender, height, weight, age, address, interests, communication service account name, and photo. Once input is complete, the device sends this information to the server.

[1536] Input: User's nickname, gender, height, weight, age, address, interests, communication service account name, photo

[1537] Output: User information is sent to the server

[1538] Specific operation: When the user enters information and presses the "Submit" button, the device converts the input data into JSON format and sends it to the server's API endpoint.

[1539] Step 2:

[1540] The server receives user information sent from the device in real time and stores it in a database. It also uses the DeepFace library to perform facial recognition on photos and verify the user's identity.

[1541] Input: User information and photo received from the device

[1542] Output: Identity verification result and saved user information

[1543] Specific operation: The server saves the received data in a database and calls the DeepFace library to perform face recognition. The result of face recognition is saved as "authentication successful" or "authentication failed."

[1544] Step 3:

[1545] The server's AI automatically generates a reliable profile and self-introduction video based on the received user information. For example, if a user enters "I love music" and "I'm an outdoorsy person," the AI ​​will generate a profile and self-introduction video such as "I'm an outdoorsy user who loves music festivals. I'm looking to make new friends!"

[1546] Input: User information and identity verification result

[1547] Output: Auto-generated profile text and self-introduction video

[1548] How it works: The server's AI performs natural language processing (NLP) based on the received user information, creates a profile text using a generative AI model, and then generates a short self-introduction video using the user's photo and input information.

[1549] Step 4:

[1550] The server selects the most suitable service for a user from among the multiple affiliated services based on the generated profile information and user preference information. For example, it selects a music-focused service for a music-loving user, or an outdoor-focused service for an outdoor-loving user.

[1551] Input: Automatically generated profile text and self-introduction video, user preferences

[1552] Output: Selected optimal service

[1553] What it does: The server queries a database of affiliated services and runs an algorithm to select services that match the user's preferences.

[1554] Step 5:

[1555] The server connects with the selected services and automatically sends the generated profile text and self-introduction video, allowing users to participate in multiple services with a single registration.

[1556] Input: Selected service, automatically generated profile text and self-introduction video

[1557] Output: Linking profile information to the service

[1558] Specific operation: The server uses the API to communicate with each service and send user information. If the transmission is successful, the user is registered with each service.

[1559] Step 6:

[1560] The server assigns a verification mark to users whose identity has been verified and adds it to their profile information. It also manages participation rights in social events within the virtual environment, ensuring that only authenticated users can participate.

[1561] Input: Identity verification results, generated profile information

[1562] Output: Granting certification marks and managing participation rights for social events

[1563] Specific operation: The server adds an authentication mark to the profile of the user whose identity has been successfully verified and stores it in the database. Furthermore, it works in conjunction with the event management system in the virtual environment to implement access control so that only authenticated users can participate in events.

[1564] 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.

[1565] The present invention is a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the present invention enables personalized profile generation and matching based on the user's emotions. The system includes a terminal, a server, and data processing performed between them.

[1566] System configuration

[1567] 1. User operations and input

[1568] The user performs the initial setup

[1569] Users install and launch the dedicated application on their device, then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[1570] 2. Receiving and analyzing information

[1571] The device sends information

[1572] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[1573] The server receives the information

[1574] The server receives user information and photos sent from the device in real time and stores them in a database. Furthermore, the AI ​​on the server uses the received information and photos to verify the user's existence. Specifically, it analyzes the photos and uses facial recognition technology to verify the user's existence.

[1575] 3. Automatic profile generation

[1576] Server generates profile

[1577] The server's AI generates a reliable profile based on the received user information and the results of identity verification. Furthermore, the server analyzes the user's photos and uses an emotion recognition engine to recognize the user's emotions, and generates a self-introduction video based on this.

[1578] Examples:

[1579] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the AI ​​will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[1580] 4. Selecting a Matching Service

[1581] The server selects the best matching service

[1582] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[1583] For example, if the emotion recognition engine determines that the user has very positive emotions about music, a music-specialized matching service will be preferentially selected.

[1584] 5. Linking profiles

[1585] The server connects to the matching service

[1586] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1587] 6. Certification Mark Granting

[1588] The server provides the certification mark

[1589] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1590] Example of operation

[1591] When a user installs the app, enters information, and uploads photos, the server receives the data, and AI performs identity verification, analyzes preferences, and even recognizes emotions. The server then generates a profile text and self-introduction video based on the information and selects the most suitable matching service. The generated profile information is then linked to each matching service, and the server assigns a certification mark. This process allows users to be provided with a reliable encounter through the most suitable matching service.

[1592] The processing flow will be explained below.

[1593] Step 1:

[1594] The user performs the initial setup

[1595] Users install the dedicated application on their device, launch it, and then enter and upload their nickname, gender, height, weight, age, address, interests, social media account name, and profile photo.

[1596] Step 2:

[1597] The device sends information

[1598] The information entered by the user and the uploaded photos are sent from the terminal to the server.

[1599] Step 3:

[1600] The server receives the information

[1601] The server receives the user information and photos sent from the terminal in real time and stores them in a database.

[1602] Step 4:

[1603] AI on the server performs identity verification

[1604] The AI ​​on the server analyzes the received photos and verifies the user's presence using facial recognition technology, which detects facial features and compares them with existing data in a database.

[1605] Step 5:

[1606] The server performs sentiment analysis

[1607] The emotion recognition engine on the server analyzes the received photo and video data to recognize the user's emotions. For example, it analyzes photos and videos of smiling people to determine whether the user is feeling positive emotions.

[1608] Step 6:

[1609] The server generates a profile and self-introduction video

[1610] The server's AI generates a reliable profile based on the received user information, the results of identity verification, and the results of the emotion recognition engine. In addition, the server analyzes the user's photos and generates an emotional self-introduction video.

[1611] Examples:

[1612] For example, if a user inputs that they love music and are an outdoorsy person, and a happy expression is recognized from a photo, the AI ​​and emotion recognition engine will generate a profile statement such as "I'm an outdoorsy user who loves music festivals. I'd like to make new friends!" along with a self-introduction video that emphasizes the happy expression.

[1613] Step 7:

[1614] The server selects the best matching service

[1615] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information obtained from an emotion recognition engine. The AI ​​considers the characteristics of each matching service, the user's aptitude, and emotional information to create a list of the most suitable services.

[1616] Examples:

[1617] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[1618] Step 8:

[1619] The server shares profile information

[1620] The server automatically sends and links the generated profile text and self-introduction video to the selected matching service, thereby registering the user's information with each matching service.

[1621] Step 9:

[1622] The server provides the certification mark

[1623] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1624] Step 10:

[1625] Users use the matching service

[1626] Users with verified profile information can communicate with other users on the proposed matching service with confidence. The verified mark also gives other users the confidence to try to contact them, realizing reliable encounters.

[1627] Example 2

[1628] 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."

[1629] Many current dating services require users to manually create detailed profiles and select appropriate dating services. The existence of fake profiles and profit-making users are also problems, reducing reliability. Furthermore, the lack of personalized matching based on users' emotions and preferences leads to a decline in the quality of encounters.

[1630] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1631] In this invention, the server is a system including means for receiving user information, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile text and self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile text and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, a ubiquitous terminal, a service providing device, and data processing performed between them, and includes means for analyzing emotions using an emotion recognition engine using the received photo, and means for generating a profile text and self-introduction video based on the emotion information. This saves users the trouble of having to find an appropriate service from among the many matching services, eliminates fake profiles and users with profit-making purposes, provides reliable encounters, and enables personalized matching based on the user's emotions.

[1632] "Terminal" refers to an electronic device through which a user inputs and transmits information to a server.

[1633] "User Information" refers to the data that constitutes a user's personal identification information and profile, including, but not limited to, nickname, gender, height, weight, age, address, interests, social media account name, and photo.

[1634] "Server" refers to an information processing device that receives, stores, analyzes, and coordinates with the matching service.

[1635] "Reality verification" refers to the means by which the server verifies the authenticity of the user information received. Specifically, this includes facial recognition using a photo received from the device.

[1636] "Profile text" refers to a self-introduction text of a user that is generated by the server based on the user information.

[1637] "Self-introduction video" refers to video content for self-introduction that is generated by the server based on the user's photograph and emotional information.

[1638] "Matching service" refers to an online platform that facilitates meetings between users.

[1639] "Emotion recognition engine" refers to artificial intelligence technology for analyzing emotions from users' photos.

[1640] The term "authentication mark" refers to a mark indicating reliability that is given by the server to a user whose existence has been verified.

[1641] "Ubiquitous devices" refers to any electronic device (e.g., smartphone, tablet, PC) that allows users to access and input information at any time.

[1642] "Service providing device" refers to the server and related equipment used to provide and operate the matching service.

[1643] "Data processing" refers to a series of operations that receive, analyze, convert, store, and link user input information.

[1644] "Emotion information" refers to the emotion data analyzed from the user's photo by the emotion recognition engine.

[1645] The present invention provides a system that eliminates the need for users to search for an appropriate service among numerous matching services, eliminates fake profiles and users with commercial interests, and provides reliable encounters. By incorporating an emotion recognition engine, the system enables personalized profile generation and matching based on the user's emotions. Detailed embodiments of the present invention will be described.

[1646] System Components

[1647] The system mainly consists of the following elements:

[1648] 1. Terminal: A device (such as a smartphone, tablet, or PC) through which a user enters and submits information.

[1649] 2. Server: A device that processes, stores, and analyzes received user information and connects with the matching service.

[1650] 3. Emotion recognition engine: Artificial intelligence that analyzes a user's emotions from a photo (e.g., Google Cloud Vision AI's emotion analysis function).

[1651] 4. Database: A system for storing user information.

[1652] User operations and input

[1653] The user installs and launches the dedicated application on their device, then enters and uploads the following information:

[1654] nickname

[1655] sex

[1656] height

[1657] body weight

[1658] age

[1659] address

[1660] Concerns

[1661] Social media account name

[1662] Profile photo

[1663] Receiving and analyzing information

[1664] The device sends the information entered by the user and the photo uploaded to the server. The server receives this information in real time and stores it in a database. The AI ​​on the server verifies the user's presence based on the received information and photo. This verification uses facial recognition technology (e.g., AWS Rekognition, Microsoft Face API).

[1665] Auto-generated profile

[1666] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generates a self-introduction video based on that.

[1667] Examples:

[1668] For example, if a user inputs that they like music and are outdoorsy, and a happy expression is recognized from a photo, the generated profile text will be "I'm an outdoorsy person who loves music festivals. I want to make new friends!" A self-introduction video will also be generated that emphasizes the happy expression.

[1669] Selecting a matching service

[1670] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's suitability to create a list of the most suitable services.

[1671] Examples:

[1672] If the emotion recognition engine determines that the user has very positive emotions about music, it will prioritize music-specialized matching services.

[1673] Linking profiles

[1674] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1675] Certification marking

[1676] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1677] Prompt sentences to input to the generative AI model

[1678] Examples of prompts users can use to introduce themselves include:

[1679] "Tell me about the most enjoyable travel destination."

[1680] "Tell me more about your hobbies and interests."

[1681] "What are you into these days?"

[1682] "Tell me how you would spend your ideal weekend."

[1683] These prompts can be used to gather detailed personal data from the user, which can be used to make the generated profile more detailed and personalized.

[1684] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1685] Step 1:

[1686] The user performs the initial setup

[1687] The user installs the dedicated application on their device and launches it. Within the app, the user enters necessary information such as nickname, gender, height, weight, age, address, interests, social media account name, and profile photo, and then uploads a photo. Once this information is entered into the application, the device compiles this data and prepares it to be sent to the server.

[1688] Input: User's nickname, gender, height, weight, age, address, interests, SNS account name, profile photo

[1689] Output: User information to send to the server

[1690] Step 2:

[1691] The device sends the information to the server

[1692] The device sends the information entered by the user and the photos uploaded to the server, including unifying the data format and encrypting it for secure transmission.

[1693] Input: User information (nickname, gender, height, weight, age, address, concerns, SNS account name, profile photo)

[1694] Output: User information sent to the server

[1695] Step 3:

[1696] The server receives and stores the information

[1697] The server receives user information sent from the device in real time and stores it in a database. The server analyzes the received data to check the format consistency and stores it correctly.

[1698] Input: User information sent from the device

[1699] Output: User information stored in the database

[1700] Step 4:

[1701] The server performs identity verification

[1702] The AI ​​on the server verifies the user's identity based on the received information and photo. In this step, it uses facial recognition technology to verify whether the uploaded photo is of a real person. Specifically, it uses AWS Rekognition and Microsoft Face API.

[1703] Input: User information, profile photo

[1704] Output: Existence confirmation result

[1705] Step 5:

[1706] The server automatically generates a profile

[1707] The server's AI generates a reliable profile based on the received user information and the results of identity verification. It also uses an emotion recognition engine to analyze the user's emotions from photos and generate a self-introduction video based on that. The emotion recognition engine uses the emotion analysis function of Google Cloud Vision AI.

[1708] Input: User information, existence verification result, profile photo

[1709] Output: Generated profile text and self-introduction video

[1710] Step 6:

[1711] The server selects the best matching service

[1712] The server's AI selects the most suitable matching service for the user from among multiple affiliated matching services based on the generated profile information, user preference information, and emotional information recognized by the emotion recognition engine. The AI ​​considers the characteristics of each matching service and the user's aptitude to create a list of the most suitable services.

[1713] Input: Generated profile text, self-introduction video, preference information, emotional information

[1714] Output: A list of selected matching services

[1715] Step 7:

[1716] The server collaborates with the matching service

[1717] The server automatically sends the generated profile text and self-introduction video to the selected matching service, and the user's information is registered with each matching service.

[1718] Input: Generated profile text, self-introduction video, list of selected matching services

[1719] Output: User information registered with each matching service

[1720] Step 8:

[1721] The server assigns the certification mark

[1722] Once the identity verification is complete, the server assigns a certification mark to the user, which is added to the user's profile information and displayed to other users on the selected matching service.

[1723] Input: Existence verification result

[1724] Output: User profile with certification mark

[1725] (Application example 2)

[1726] 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."

[1727] Conventional matching services not only require a great deal of time and effort for users to find a suitable partner, but also have the problem of reduced reliability due to fake profiles and profit-seeking users. Furthermore, most services focus on online matching only, and do not offer the real-life experience of meeting someone in a brick-and-mortar store. Therefore, there is a need for a more effective and reliable matching system.

[1728] The identification process 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 receiving user information from the terminal, means for verifying the existence of the user information received from the terminal, means for automatically generating a profile statement and a self-introduction video based on the received user information, means for selecting the most suitable matching service for the user from among multiple matching services, means for linking the generated profile statement and self-introduction video to the selected matching service, means for assigning an authentication mark to a user whose existence has been verified, and means for analyzing the user's emotions using an emotion recognition engine and recommending stores and events that will provide optimal meeting opportunities. This allows users to efficiently find suitable partners and enables reliable matching through meetings at actual stores.

[1729] The "means for receiving user information from the terminal" is a function for transmitting data and photos entered by the user from the terminal to the server.

[1730] "Means for verifying existence" refers to a function that verifies whether a user is an actual individual based on the data and photographs provided by the user.

[1731] The "means for generating profile text and self-introduction video" is a function that automatically creates appropriate text and video as a user's profile based on the received user information.

[1732] "Means for selecting the most suitable matching service for a user from among a plurality of matching services" refers to a function for selecting the service that is most suitable for the user's information from among a plurality of affiliated matching services.

[1733] "Means for linking profile text and self-introduction video to the selected matching service" is a function that automatically transfers the generated user profile and video to the selected matching service.

[1734] The "means for assigning an authentication mark" is a function for assigning an authentication mark to a user whose existence has been confirmed, to indicate the user's reliability.

[1735] The "means for analyzing a user's emotions using an emotion recognition engine" is an engine that analyzes photos and videos provided by the user to identify the emotions at that time.

[1736] "Means for recommending stores and events" is a function that recommends the most suitable physical stores and events to users based on an emotion recognition engine and other user information.

[1737] The present invention effectively utilizes terminals and servers to realize a highly reliable system for users to find suitable matches.

[1738] Basic system configuration

[1739] In this system, the server receives information provided by the user's device, analyzes the data using an emotion recognition engine and artificial intelligence (AI), generates a profile text and self-introduction video, and recommends optimal matching services, stores, and events.

[1740] User Input and Information Processing

[1741] Users install a dedicated application on their device and enter basic information (nickname, gender, age, hobbies, profile photo, etc.). This data is sent from the device to a server. The server stores the data received from the device in a database and uses facial recognition technology to verify the user's identity.

[1742] Generate a profile

[1743] Based on the received user information, the AI ​​on the server automatically generates a profile text and self-introduction video. Furthermore, an emotion recognition engine is used to analyze the user's emotions and reflect them in the profile and video. In this step, a generative AI model such as Python's textgenrnn is used.

[1744] As a specific example, if a user likes music and a happy expression is recognized from an uploaded photo, the generated profile text will be "I'm a user who loves music and has a fun personality. I'd like to make new friends!"

[1745] Matching services and store / event recommendations

[1746] Taking into account the generated profile information and emotional information, the server's AI selects the most suitable service from among multiple affiliated matchmaking services and brick-and-mortar stores. If the user's emotional state is very positive, stores and live music venues that hold music events will be recommended.

[1747] Information sharing and certification marking

[1748] The server automatically links the generated profile text and self-introduction video to selected matching services and recommended stores, and gives a certification mark to users whose existence has been confirmed.

[1749] Hardware and software used

[1750] Face recognition technology: OpenCV, face_recognition library

[1751] Emotion Recognition Engine: Emotion Recognition API

[1752] Generative AI model: textgenrnn

[1753] Examples of specific examples and prompts

[1754] For example, if a user inputs that they like "music" and the emotion recognition engine detects "happy," the profile text will be "A user who loves music and has a fun personality. I'm looking for new friends!" and the recommended stores will be "fun bars" and "music events."

[1755] Example prompt sentence:

[1756] The user likes music and has a happy mood. Generate the following self-introduction: I'm a user who likes music and has a happy mood. I'm looking for new friends!

[1757] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1758] Step 1:

[1759] The user enters basic information

[1760] Users enter basic information such as nickname, gender, age, hobbies, and profile picture into the application on their device, which then sends this information to the server.

[1761] Input: Nickname, gender, age, hobbies, profile photo

[1762] Output: Sending user information from the device to the server

[1763] Step 2:

[1764] The server receives the user information and verifies the user's identity.

[1765] The server receives the user information and photo sent from the device and stores them in a database.The server then uses facial recognition technology (e.g., OpenCV or the face_recognition library) to analyze the user's face in the photo and verify their identity.

[1766] Input: User information, profile photo

[1767] Output: Result of identity check (success / failure)

[1768] Step 3:

[1769] The server analyzes emotions and creates a profile

[1770] The server automatically generates a profile text using AI (e.g., textgenrnn) based on the received user information and the results of identity verification. It also analyzes the emotions in the photos using an emotion recognition engine (e.g., Emotion Recognition API) and generates a self-introduction video based on this.

[1771] Input: User information, profile photo, identity verification results

[1772] Output: Generated profile text and self-introduction video

[1773] Step 4:

[1774] The server selects the best matching service and store.

[1775] The server selects the most suitable matching service or store from among multiple affiliated matching services and stores, taking into consideration the generated profile information and emotion information. Based on the user's preferences and emotions, it recommends the most suitable events and meeting places.

[1776] Input: Generated profile text, emotion information

[1777] Output: Recommended matching services and stores

[1778] Step 5:

[1779] The server connects the profile information and assigns a certification mark

[1780] The server then links the generated profile text and self-introduction video to selected matching services and stores. Users who have completed identity verification are given a certification mark to guarantee their reliability.

[1781] Input: Generated profile text, self-introduction video, existence verification results

[1782] Output: Linking your profile to the selected matching service and adding a certification mark

[1783] 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.

[1784] 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.

[1785] 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.

[1786] 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.

[1787] 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.

[1788] 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.

[1789] 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).

[1790] 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.

[1791] 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."

[1792] 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.

[1793] 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).

[1794] 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.

[1795] 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.

[1796] 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.

[1797] 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.

[1798] 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.

[1799] 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.

[1800] 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.

[1801] 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.

[1802] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1803] 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.

[1804] The following is further disclosed regarding the above embodiment.

[1805] (Claim 1)

[1806] means for receiving user information from a terminal;

[1807] means for verifying the existence of user information received from the terminal;

[1808] A means for automatically generating a profile text and a self-introduction video based on the received user information;

[1809] A means for selecting the most suitable matching service for a user from among a plurality of matching services;

[1810] A means to link the generated profile text and self-introduction video to the selected matching service,

[1811] means for granting a certification mark to a user whose existence has been confirmed;

[1812] A system including:

[1813] (Claim 2)

[1814] The system according to claim 1, wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, concerns, SNS account name, and photo.

[1815] (Claim 3)

[1816] The system according to claim 1, further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence.

[1817] "Example 1"

[1818] (Claim 1)

[1819] means for receiving user information from a terminal;

[1820] means for verifying the existence of user information received from the terminal;

[1821] A means for automatically generating a profile text and a self-introduction video based on the received user information;

[1822] A means for selecting the most suitable matching service for a user from among a plurality of matching services;

[1823] A means for linking the generated profile text and self-introduction video to multiple selected matching services;

[1824] means for granting a certification mark to a user whose existence has been confirmed;

[1825] A means for automatically completing user registration for multiple linked matching services;

[1826] A method for analyzing user preferences based on the generated profile text and self-introduction video,

[1827] A system including:

[1828] (Claim 2)

[1829] The system according to claim 1, wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, concerns, SNS account name, and photo.

[1830] (Claim 3)

[1831] The system according to claim 1, further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence.

[1832] "Application Example 1"

[1833] (Claim 1)

[1834] means for receiving user information from a terminal;

[1835] means for verifying the existence of user information received from the terminal;

[1836] A means for automatically generating a profile text and a self-introduction video based on the received user information;

[1837] A means for selecting the most suitable service for a user from among a plurality of services;

[1838] A means to link the generated profile text and self-introduction video to the selected service,

[1839] means for granting a certification mark to a user whose existence has been confirmed;

[1840] A means of controlling access to social events within the virtual environment;

[1841] A system including:

[1842] (Claim 2)

[1843] 2. The system according to claim 1, wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, concerns, communication service account name, and photo.

[1844] (Claim 3)

[1845] The system according to claim 1, further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence.

[1846] "Example 2: Combining Emotion Engines"

[1847] (Claim 1)

[1848] means for receiving user information from a terminal;

[1849] means for verifying the existence of user information received from the terminal;

[1850] A means for automatically generating a profile text and a self-introduction video based on the received user information;

[1851] A means for selecting the most suitable matching service for a user from among a plurality of matching services;

[1852] A means to link the generated profile text and self-introduction video to the selected matching service,

[1853] means for granting a certification mark to a user whose existence has been confirmed;

[1854] A system including a ubiquitous terminal, a service providing device, and data processing performed between them, the system including a means for analyzing emotions using an emotion recognition engine using the received photograph, and a means for generating a profile statement and a self-introduction video based on the emotion information.

[1855] (Claim 2)

[1856] The system according to claim 1, wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, concerns, SNS account name, and photo.

[1857] (Claim 3)

[1858] The system according to claim 1, further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence.

[1859] "Application example 2 when combining emotion engines"

[1860] (Claim 1)

[1861] means for receiving user information from a terminal;

[1862] means for verifying the existence of user information received from the terminal;

[1863] A means for automatically generating a profile text and a self-introduction video based on the received user information;

[1864] A means for selecting the most suitable matching service for a user from among a plurality of matching services;

[1865] A means to link the generated profile text and self-introduction video to the selected matching service,

[1866] means for granting a certification mark to a user whose existence has been confirmed;

[1867] It uses an emotion recognition engine to analyze the user's emotions and recommends stores and events to provide optimal opportunities for encounters.

[1868] A system including:

[1869] (Claim 2)

[1870] 2. The system according to claim 1, wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, hobbies, social networking service account name, and photo.

[1871] (Claim 3)

[1872] The system according to claim 1, further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence. [Explanation of symbols]

[1873] 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 receiving user information from a terminal; means for verifying the existence of user information received from the terminal; A means for automatically generating a profile text and a self-introduction video based on the received user information; A means for selecting the most suitable matching service for a user from among a plurality of matching services; A means to link the generated profile text and self-introduction video to the selected matching service, means for granting a certification mark to a user whose existence has been confirmed; A system including:

2. The system according to claim 1 , wherein the user information received from the terminal includes a nickname, gender, height, weight, age, address, concerns, SNS account name, and photo.

3. The system according to claim 1 , further comprising means for performing face authentication using a photograph received from the terminal for the purpose of confirming the user's presence.

Images