system

Abstract

Provide a system. 【Solution means】 Means for receiving digital asset information from a user, encrypting the relevant information, and storing it in a storage medium. Means for periodically sorting the received digital asset information and reporting duplicate or invalid information to the user. Means for providing secure access to the system using the user's biometric authentication. Means for disclosing digital asset information to a specific person based on the timing and conditions specified by the user. Means for verifying information through an external information source or declaration when the user's death is confirmed. Means for permitting access to digital asset information for a specific person who has passed the authentication process. Means for identifying illegal or duplicate data using a generated AI model. A system including the above.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] With the increase in personal digital assets and account information, it is required to manage them safely and efficiently while ensuring that appropriate persons can access them in case of an emergency. However, ordinary management methods have problems such as information leakage and unclear access rights, especially when the user dies, it is difficult to smoothly transfer the information.

Means for Solving the Problems

[0005] The present invention solves the above problems by providing a digital heritage management system. Specifically, it includes means for receiving digital asset information from a user, encrypting it, and storing it securely; means for periodically organizing and analyzing information to report duplicate and invalid information; and means for disclosing digital asset information to a specific person based on conditions specified by the user. Further, when the death of the user is confirmed, authentication is executed through an external database or declaration, and access rights are granted to the heirs or designated persons only when the authentication is successful, thereby realizing the safe management and smooth transfer of information.

[0006] "Digital asset information" refers to a collection of information related to the user, such as personal account information, login credentials, digital content on the Internet, or accounts of e-mails and SNS.

[0007] "Encryption" refers to the process of converting information using a specific algorithm and key into a form that cannot be easily understood by a third party.

[0008] "Database" refers to a system or platform for efficiently storing, managing, and searching information in a structured manner.

[0009] "Organizing" refers to the act of systematically and efficiently rearranging information according to goals and purposes to eliminate duplicates and inconsistencies.

[0010] "Artificial intelligence" refers to a technology or system in which a computer system has the ability to imitate human intellectual activities, particularly for data analysis and predictive learning.

[0011] "Access right" refers to the authority or permission that defines what a user or system can execute on digital data or a system.

[0012] "Authentication" refers to a method or procedure for verifying the identity claimed by a user or process in a specific system.

[0013] An "external database" refers to a data storage system located outside the system, where user information and status are managed by an independent organization or service, acting as a data repository. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

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

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

[0035] The digital heritage management system according to the present invention is for safely managing the digital asset information possessed by a user and smoothly transferring the information to a designated person under specific conditions. This system operates between a server and a user's terminal and is implemented as follows.

[0036] First, the user inputs information through an interface from the terminal in order to register their digital asset information in the system. This information includes an account name, password, related digital content, etc. When the information is transmitted, the server encrypts it using the SSL / TLS protocol and receives it securely. The received information is further encrypted by the server and stored in a secure database.

[0037] Periodically, the server analyzes the digital asset information using artificial intelligence to detect duplicate or invalid information. As a result, the user can always hold the latest and valid information and update it as needed. The collation results are notified to the user, and the user makes corrections through their own terminal.

[0038] The user also sets in advance the access rights for each digital asset information in case of an emergency. Based on this setting information, the server plans to disclose the information to a specific person when the death of the user is confirmed. The fact that the user has died is confirmed by an external database or a report from the family. After confirmation, the server notifies the family of the appropriate authentication information and permits access to the digital asset information through an accurate authentication process.

[0039] As a specific example, when the user registers a SNS account, the user provides the SNS login information to the system and sets the access rights at the time of death for the family. The server protects this information and discloses it to the family at the designated timing. As a result, the family can access the user's SNS account and perform the necessary procedures.

[0040] In this way, the present invention realizes the safe management and appropriate transfer of digital asset information.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uses a terminal to access the system interface and enter digital asset information. At this time, the user provides account name, password, and related service information.

[0044] Step 2:

[0045] The server receives digital asset information sent by the user via the SSL / TLS protocol and securely encrypts it. The received data is further encrypted and stored in a secure database.

[0046] Step 3:

[0047] The server periodically uses artificial intelligence to analyze the digital asset information stored in the database. It then detects duplicate or invalid information and prepares to notify the user of the results.

[0048] Step 4:

[0049] The user receives a notification and logs back into the system from their device to review the results and update or delete any unnecessary or outdated information. This updated information is then sent back to the server to update the database.

[0050] Step 5:

[0051] Users set access permissions for each digital asset in preparation for future information disclosure. These settings include the timing of disclosure to specific individuals.

[0052] Step 6:

[0053] The server performs the user death confirmation process through external databases and declarations from family members. Once death is confirmed, it initiates a process to provide access rights authentication information to the family based on pre-configured information.

[0054] Step 7:

[0055] Through the device, bereaved family members can attempt to access the system using the provided authentication information, and if successful, they can view or manage the necessary digital asset information.

[0056] (Example 1)

[0057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0058] In modern society, managing and securely transferring client information is a critical issue. In particular, there is a lack of efficient and secure methods for organizing information according to the client's situation and transferring it to the appropriate stakeholders. Traditional systems require significant effort and time for information organization and transfer, and also increase the risk of unauthorized access.

[0059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0060] In this invention, the server includes means for receiving information from a client, encrypting the information, and storing it in a storage device; means for periodically analyzing the received information and reporting duplicate or invalid data to the client; and means for providing information to specific parties based on conditions specified by the client. This makes it possible to efficiently manage information and securely transfer it to the appropriate parties at the right time.

[0061] A "client" is the entity that provides information, and refers to the user who inputs and manages information through a terminal.

[0062] "Information" refers to all digital data held by the client, including account names, passwords, and digital content.

[0063] Encryption is the process of transforming information so that it cannot be seen by third parties, and it is a technology that improves data security by using specific algorithms.

[0064] "Storage device" refers to data storage installed on a server, and includes hardware or software for long-term storage and management of received information.

[0065] "Analysis" refers to the process of examining information in detail, particularly identifying duplicate or invalid data, and serves as a foundation for efficient management.

[0066] "Related parties" refer to specific individuals or organizations authorized to receive or access information, and are designated in advance by the client.

[0067] This invention is a system for securely managing a client's digital information and transferring that information to specific parties under specific conditions. It is configured so that the server, terminal, and user elements cooperate to perform its function.

[0068] Users input information through their device and send it to the server. This process involves entering information such as account names, passwords, and digital content using the interface on the device. Furthermore, the data is encrypted using the SSL / TLS protocol during transmission, ensuring secure transmission to the server.

[0069] The server encrypts the received information using advanced encryption technologies (such as AES) and securely stores it in storage. It also periodically analyzes the information using a generative AI model to efficiently manage it, identifying and reporting duplicate or invalid data to the user. This ensures that the information is always up-to-date and accurate.

[0070] Furthermore, users configure access permissions through their devices and prepare for the transfer of information. Based on these settings, the server develops a plan to transfer information to specific parties under the conditions specified by the client. Once the client's status is confirmed and the server recognizes the situation based on reports from external sources or family members, it notifies the designated parties of the authentication information and grants access to the information after a precise authentication process.

[0071] A concrete example is a case where a user registers a social media account and grants access rights to their family members. The server protects this information and discloses it to relevant parties according to the set conditions, allowing family members to access the user's social media account and carry out necessary procedures.

[0072] An example of a prompt message would be, "Please explain the process for transferring a user's social media account when the user dies."

[0073] By implementing the invention in this manner, it becomes possible to manage and transfer clients' digital information safely and efficiently.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The user inputs digital information through the terminal's interface. This input includes account information and related digital content. The input information is encrypted using the SSL / TLS protocol and sent to the server. As a result, encrypted information packets are generated as output from the terminal.

[0077] Step 2:

[0078] The server receives encrypted information from the terminal and re-encrypts it using advanced encryption technology (e.g., AES). The input is an encrypted information packet, which is processed for secure storage in the server's memory, and the output is further encrypted data. This data is confidential and stored securely.

[0079] Step 3:

[0080] The server periodically uses a generative AI model to analyze stored digital information. The input data is encrypted information stored in a storage device, and the AI ​​identifies duplicate and invalid data. As a result, a clean dataset without redundancy and report information for the user are output. The server notifies the user of these analysis results.

[0081] Step 4:

[0082] Users use their devices to modify and update digital information based on notifications from the server. The input is reported information provided by the server, and the user edits the information based on this. The output is the updated information, which is then re-encrypted and sent back to the server.

[0083] Step 5:

[0084] Users configure access permissions for various digital information on their devices. These settings, including conditions for information transfer, are sent to the server as input from the device. The output is the registered and securely stored configuration.

[0085] Step 6:

[0086] The server verifies information through external sources and declarations when the user's status is confirmed. Inputs include confirmation information from external databases and surviving family members, and the server uses this information to verify the status. Outputs are the verified status evaluation results.

[0087] Step 7:

[0088] The server grants access to information to specific authenticated parties. Inputs include configured access permission information and external status verification results; the server manages access based on these. Outputs are the access authentication information for the parties involved.

[0089] (Application Example 1)

[0090] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0091] This system ensures that users' digital assets are not managed haphazardly, but can be securely and easily transferred to specific individuals when needed. Traditional systems often struggle with the proper organization and transfer of digital assets, and may lack sufficient means to ensure authentication security. Therefore, there is a need to protect users' digital assets from leaks and unauthorized access while facilitating a smooth transfer.

[0092] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0093] In this invention, the server includes means for providing secure access to the system using the user's biometric authentication, means for identifying fraudulent or duplicate data using a generative AI model, and means for securely storing encrypted digital asset information on a storage medium. This makes it possible to securely store the user's digital asset information, prevent unauthorized access, and ensure that only accurate information is transferred to specific individuals.

[0094] A "user" is an individual or organization that uses the system for the purpose of managing and transferring digital asset information.

[0095] "Digital asset information" refers to electronically stored information such as social network accounts, online banking information, and cloud storage data.

[0096] "Encryption" is a technology that protects information from unauthorized access by transforming it using a specific algorithm.

[0097] A "storage medium" is a physical or virtual data storage device used to securely store encrypted digital asset information.

[0098] "Biometric authentication" is a technology that uses a user's biometric characteristics, such as facial features, fingerprints, or retinal information, to authenticate an individual.

[0099] A "generative AI model" is a program that uses artificial intelligence technology to organize digital asset information and detect fraudulent data.

[0100] "Access" refers to legitimate use or viewing of specific digital asset information.

[0101] "Inheritance" refers to the act of transferring digital asset information to a specific person based on conditions and circumstances set by the user.

[0102] This invention provides a system for securely managing users' digital asset information and transferring that information to specific individuals as needed. The system receives digital asset information, encrypts it for protection, and securely stores it on a storage medium. Users can access the system using biometric authentication, thereby preventing unauthorized access. In addition, a generative AI model periodically organizes the data and identifies fraudulent or duplicate data.

[0103] The server encrypts the digital asset information entered by the user via the SSL / TLS protocol and receives it securely. The server also stores this information in a database using enhanced encryption methods and provides access based on the user's biometric authentication. This approach ensures the security of digital assets, allowing users to use the system with peace of mind.

[0104] As a concrete example, a user registers their social network accounts and cloud storage information in the system. The generative AI model analyzes this data, automatically detects duplicate entries, and notifies the user. As a result, data optimization is performed. Furthermore, it becomes possible to transfer information to a specified person based on conditions set by the user in advance. In addition, the use of the generative AI model is demonstrated using an example prompt such as, "Based on the user's registered data, please suggest a way to remove fraudulent or duplicate data."

[0105] In this way, the present invention enables the efficient and secure management of users' digital assets and their smooth transfer when necessary.

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] Users input digital asset information using a terminal and transmit the information via the system interface. Input data includes account name, password, and associated digital content. The terminal encrypts the entered information using the SSL / TLS protocol for secure transmission.

[0109] Step 2:

[0110] The server receives encrypted data sent from the terminal. It then transforms the received data using a more robust encryption method and stores it in a secure database. The input is SSL / TLS encrypted information, and the output is data encrypted on the server.

[0111] Step 3:

[0112] The server periodically uses a generative AI model to analyze digital asset information in the database. Here, fraudulent or duplicate data is identified; the input is existing data in the database, and the output is a list of fraudulent or duplicate entries. Based on these results, the server notifies the user.

[0113] Step 4:

[0114] The user corrects the data using their device based on the notification. The newly corrected data is resubmitted and reflected in the database using the same process as in steps 1 and 2. The input here is the digital asset information corrected by the user, and the output is the updated database.

[0115] Step 5:

[0116] Users obtain secure access to the system through biometric authentication. The device acquires biometric data, such as fingerprints or facial recognition, as input, and access to the server is granted only after passing the authentication process. The output indicates authenticated access rights.

[0117] Step 6:

[0118] The server manages the transfer of digital asset information to a specific person based on the access permissions specified by the user. If the specified conditions are met, the server sends appropriate authentication information to the recipient. The output includes the required authentication information and access authorization.

[0119] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0120] The digital legacy management system according to the present invention enables more appropriate information management and access provision by combining an emotion engine that recognizes the user's emotions. In addition to the basic function of receiving, encrypting, and storing digital asset information from the user, the system has a function of analyzing the user's emotional state using the emotion engine.

[0121] First, the user registers digital asset information via the terminal and accesses the system. In this process, the user's operation data and conversation history are transmitted to the server, and the emotion engine analyzes the data. The analyzed emotion data is considered when the user organizes information or receives a report on specific information.

[0122] Based on the recognized emotional state, the server adjusts the presentation method and organized content of the digital asset information. For example, if it is analyzed that the user is feeling stressed, the system reduces the frequency of information organization or simplifies the report content to reduce the user's burden.

[0123] Also, the user optimizes the timing and settings of information disclosure while referring to the feedback from the emotion engine. When the user is not emotionally stable, it is possible to automatically suspend or review the access settings of the asset information.

[0124] As a specific example, consider the case where the user registers the login information of the SNS in the system. When the emotion engine detects tension from the user's input operation, the server flexibly changes the confirmation process of the digital asset information and sends a notification again at a later date. In this way, more appropriate information management for the user can be performed.

[0125] With these functions, this system realizes effective and user-friendly management and inheritance of digital asset information.

[0126] The processing flow will be described below.

[0127] Step 1:

[0128] The user uses a terminal to access the digital legacy management system and inputs the necessary digital asset information. At this time, the terminal collects data such as operation logs, input speed, and keystroke patterns, and sends it to the server.

[0129] Step 2:

[0130] The server provides the input data to the emotion engine in order to analyze the received data. The emotion engine estimates the user's emotional state based on the collected operation logs and returns the result to the server.

[0131] Step 3:

[0132] Based on the emotion data obtained from the emotion engine, the server adjusts the presentation method and arrangement method of the digital asset information. For example, if the user is judged to be in a stressed state, the notification of information arrangement is temporarily withheld or the content is simplified.

[0133] Step 4:

[0134] The user receives the information adjusted based on the judgment of the emotion engine on the terminal. Furthermore, the user sets or adjusts the timing of information disclosure and access rights in consideration of the emotion feedback.

[0135] Step 5:

[0136] The server saves the access rights and timing set by the user in the database. The settings are prepared to be updated in a timely manner according to changes in the user's emotional state.

[0137] Step 6:

[0138] If a user's death is confirmed, the server verifies the information through external databases and reports from family members, and then performs an authentication process for the specific individual.

[0139] Step 7:

[0140] Using a terminal, bereaved family members access the system based on authentication information provided by the server. After successful authentication, bereaved family members can view and manage digital asset information that has been adjusted to take their emotional state into consideration.

[0141] (Example 2)

[0142] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0143] In modern times, advancements in information technology have led to a significant increase in personal information assets. However, managing and transferring this information presents challenges such as emotional burdens on users and inappropriate information organization. In particular, when handling digital information, users are not always in a state of emotional stability, requiring feedback and adjustments to information organization tailored to their individual circumstances. There is a need for systems that can address these situations.

[0144] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0145] In this invention, the server includes means for receiving information from a user, securely processing the information, and storing it in a memory device; means equipped with an emotion determination engine for analyzing the received information and evaluating the user's emotional state; and means for adjusting the information organization method based on the emotional state and providing appropriate notifications to the user. This enables appropriate information management and reduced burden according to the user's emotional state.

[0146] A "user" is an individual or organization that inputs and manages information assets.

[0147] "Information" is a general term for data and access information stored in digital format.

[0148] "Secure processing" means using appropriate measures to protect information from unauthorized access and data breaches.

[0149] "Storage device" is a general term for digital data storage media used to store and manage information.

[0150] An "emotion determination engine" is a program or device that performs data analysis and processing to evaluate a user's emotional state.

[0151] "Information organization" is the act of classifying, arranging, or displaying received information based on specific criteria.

[0152] "Appropriate notification" refers to a means of communication that informs users of the status and changes of information in an easy-to-understand manner.

[0153] This invention presents a system configuration that allows users to manage information safely and efficiently, and to optimize data processing while taking their emotional state into consideration.

[0154] The system provides an interface for users to input personal information. Users transmit information to a digital platform using their devices. This information includes personal online account information and financial data. These devices may include, for example, personal computers or smartphones.

[0155] Once information is entered, the terminal sends it to the server. The server first applies an encryption algorithm to securely process the received information and records it in a storage device. In this process, the server can use data protection technology such as AES (Advanced Encryption Standard).

[0156] Next, the server analyzes the user's emotional state using an emotion assessment engine. This emotion assessment engine could be, for example, a software platform that provides natural language processing technology. The emotion assessment engine generates an emotion score from the user's operation data and input information.

[0157] Based on the generated sentiment score, the server adjusts how information is organized and the content of notifications sent to the user. For example, if the server determines that the user is stressed, it can simplify the notification content to reduce the user's burden.

[0158] Furthermore, the server provides feedback to the user, helping to understand their emotional state. This feedback is sent via email and in-app notifications.

[0159] A specific example of its use is when a user enters their social media login information; if the emotion detection engine detects a state of tension, the server can delay processing that information. This allows notifications to be sent to the user at a more appropriate time.

[0160] An example of a prompt message is, "Please describe the specific actions the server should take if tension is detected while the user is entering information."

[0161] Thus, the present invention enables safe and less burdensome information management for users.

[0162] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0163] Step 1:

[0164] Users input digital information using a device. This input includes personal online account information and financial data. Users enter information into a form via a dedicated application or web page and press the submit button. The entered data is sent from the device to the server.

[0165] Step 2:

[0166] The server securely processes the received information. Specifically, it processes the transmitted data using an encryption algorithm and stores it in a protected state in storage. The input received is the user's digital information, and the output is encrypted data. For example, the encryption method used is AES (Advanced Encryption Standard).

[0167] Step 3:

[0168] The server analyzes the user's emotional state using an emotion detection engine. For data analysis, the server passes the user's input data and operation history to the emotion detection engine. The input is the user's operation data, and the output is the user's emotion score. The emotion score is calculated using an algorithm employing natural language processing techniques.

[0169] Step 4:

[0170] The server adjusts the information organization method based on the analysis results. Specifically, it changes the frequency of information organization and the content of reports according to the user's emotion score. The input is the emotion score, and the output is the adjusted information processing guidelines. For example, if tension is detected, the notification content is simplified to reduce stress caused by information overload.

[0171] Step 5:

[0172] The server provides feedback to the user. This feedback is sent via email or in-app notifications and provides users with information to manage and change settings according to their emotional state. The input is a guideline for adjusted information processing, and the output is a notification to the user. Specifically, this includes information about future access restrictions.

[0173] Step 6:

[0174] Users optimize their information access settings based on the feedback they submit. They review notifications and, taking sentiment-based suggestions into account, reconsider when and how they access information. Specifically, they click the link in the notification to open the settings screen and adjust information access rights and notification frequency as needed.

[0175] (Application Example 2)

[0176] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0177] In the modern era, managing digital heritage and improving the user experience associated with it are crucial, but information organization and access methods that consider user emotions are often lacking. As a result, users frequently experience emotional burden. Furthermore, even in the appropriate selection and presentation of digital content, there is a lack of dynamic adjustments that take into account individual emotional states.

[0178] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0179] In this invention, the server includes means for recognizing the user's emotional state and adjusting the method of presenting digital asset information based on this recognition result; means for dynamically selecting and displaying digital content using the user's emotional state; and means for an emotion engine to generate feedback by analyzing the user's operation data and dialogue history. This enables flexible and appropriate management and display of digital heritage in accordance with the user's emotions.

[0180] A "user" is an individual who manages digital asset information and performs operations and interactions with the system.

[0181] "Digital asset information" refers to all digital data and information owned by a user, including photos, videos, login information, etc.

[0182] "Encryption" refers to the process of converting digital asset information into a format that cannot be read by third parties, and is carried out to enhance its security.

[0183] An "emotion engine" is a software component that analyzes user operation data and dialogue history to determine their emotional state at that time.

[0184] "Adjusting the presentation method" means optimizing the order and method of displaying information on the screen based on the user's perceived emotional state.

[0185] "Dynamic selection and display" refers to a process that automatically selects and visually presents appropriate content based on the user's real-time emotions.

[0186] "Operation data" refers to the history of inputs and selections generated during the user's use of the system.

[0187] "Dialogue history" refers to a record of a series of communications a user has with the system, and based on this, an individual's emotions and intentions can be inferred.

[0188] "Feedback" refers to information provided to users based on the results of analysis by the emotion engine, and is used to improve the organization and display methods of digital asset information.

[0189] The system implementing this invention effectively manages users' digital asset information and provides information tailored to the user's emotional state. The system's program is primarily composed of an emotion recognition engine using Python and TENSORFLOW®.

[0190] The server first encrypts the digital asset information received from the user's terminal and securely stores it in a database. Advanced encryption algorithms are used to ensure the security of the digital assets.

[0191] Subsequently, the system monitors operation data and dialogue history in real time, and the emotion engine analyzes the user's current emotional state. This analysis uses data from emotion sensors and cameras as input. Based on the collected data, the server detects changes in emotion and adjusts the way information is presented to reduce the user's burden.

[0192] For example, if the user is relaxed, photos and videos of memories can be displayed in a soft tone. Conversely, if the user is stressed, the frequency of information provided can be reduced, and it can be presented in a more concise format.

[0193] Furthermore, the server dynamically selects digital content based on the user's emotional state. It uses a generation AI model to select content appropriate for a specific emotional state and presents it to the user at the right time. This process is continuously adjusted based on emotional feedback.

[0194] For example, if the family is relaxed after dinner, the system will project photos related to the day's memories, encouraging family conversation. This feature is expected to facilitate smoother communication within the family.

[0195] An example of a prompt is, "Imagine a natural user experience where Emory acquires facial recognition data and performs real-time sentiment analysis." This prompt clarifies how the system provides emotion-based services.

[0196] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0197] Step 1:

[0198] The server receives digital asset information from the user's terminal. The received digital asset information is securely stored in the database after applying an encryption algorithm. In this step, the raw input data is output as encrypted data.

[0199] Step 2:

[0200] The user's device sends operation data and dialogue history to the emotion engine. The emotion engine uses TensorFlow to analyze this data and detect the emotional state. The input to this step is the user's operation data and dialogue history, and the output is the identification result of the user's emotional state.

[0201] Step 3:

[0202] The server adjusts how information is presented based on the analyzed emotional state. For example, if the user is in a specific emotional state (e.g., stress), it simplifies the information presentation. The input is the identified emotional state, and the output is the adjusted information presentation format.

[0203] Step 4:

[0204] The server uses a generating AI model to select digital content appropriate to the user's emotional state. This model generates content based on prompts that identify the optimal content, using past training data. The input is the emotional state and the generating AI's prompts, and the output is the selected digital content.

[0205] Step 5:

[0206] Users view selected digital content via their devices. The server collects user feedback and uses it to improve future presentation methods. The inputs to this step are the selected digital content and user feedback, and the output is the optimization of the service based on that feedback.

[0207] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0208] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0209] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0210] [Second Embodiment]

[0211] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0212] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0213] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0214] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0215] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0216] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0217] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0218] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0219] The specific processing program 56 is an example of the "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 operating as the specific processing unit 290 according to the specific processing program 56 executed by the processor 28 on the RAM 30.

[0220] 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 specific processing unit 290.

[0221] In the smart glasses 214, reception / output processing is performed by the processor 46. The storage 50 stores a reception / output program 60. The processor 46 reads the reception / output program 60 from the storage 50 and executes the read reception / output program 60 on the RAM 48. The reception / output processing is realized by operating as the control unit 46A according to the reception / output program 60 executed by the processor 46 on the RAM 48.

[0222] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0223] The digital heritage management system according to the present invention is for safely managing digital asset information possessed by a user and smoothly transferring the information to a specified person under specific conditions. This system operates between a server and a user's terminal and is implemented as follows.

[0224] Users first register their digital asset information with the system by entering the information through an interface on their terminal. This information includes account name, password, and associated digital content. When transmitting the information, the server encrypts it using the SSL / TLS protocol and receives it securely. The received information is further encrypted by the server and stored in a secure database.

[0225] Periodically, the server uses artificial intelligence to analyze digital asset information and detect duplicate or invalid data. This ensures that users always have up-to-date and valid information and can update it as needed. The results of the analysis are notified to the user, who can then make corrections through their own device.

[0226] Users also pre-configure access permissions for each digital asset to prepare for unforeseen circumstances. Based on this configuration, the server plans to disclose information to specific individuals if the user's death is confirmed. The user's death is confirmed through external databases or reports from family members. After confirmation, the server notifies the family of the appropriate authentication information and grants access to the digital asset information through a precise authentication process.

[0227] As a concrete example, when a user registers an SNS account, the user provides their SNS login information to the system and sets access rights for their family in the event of death. The server protects this information and discloses it to the family at a specified time. This allows the family to access the user's SNS account and carry out the necessary procedures.

[0228] In this way, the present invention enables the secure management and appropriate transfer of digital asset information.

[0229] The following describes the processing flow.

[0230] Step 1:

[0231] The user uses a terminal to access the system interface and enter digital asset information. At this time, the user provides account name, password, and related service information.

[0232] Step 2:

[0233] The server receives digital asset information sent by the user via the SSL / TLS protocol and securely encrypts it. The received data is further encrypted and stored in a secure database.

[0234] Step 3:

[0235] The server periodically uses artificial intelligence to analyze the digital asset information stored in the database. It then detects duplicate or invalid information and prepares to notify the user of the results.

[0236] Step 4:

[0237] The user receives a notification and logs back into the system from their device to review the results and update or delete any unnecessary or outdated information. This updated information is then sent back to the server to update the database.

[0238] Step 5:

[0239] Users set access permissions for each digital asset in preparation for future information disclosure. These settings include the timing of disclosure to specific individuals.

[0240] Step 6:

[0241] The server performs the user death confirmation process through external databases and declarations from family members. Once death is confirmed, it initiates a process to provide access rights authentication information to the family based on pre-configured information.

[0242] Step 7:

[0243] Through the device, bereaved family members can attempt to access the system using the provided authentication information, and if successful, they can view or manage the necessary digital asset information.

[0244] (Example 1)

[0245] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0246] In modern society, managing and securely transferring client information is a critical issue. In particular, there is a lack of efficient and secure methods for organizing information according to the client's situation and transferring it to the appropriate stakeholders. Traditional systems require significant effort and time for information organization and transfer, and also increase the risk of unauthorized access.

[0247] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0248] In this invention, the server includes means for receiving information from a client, encrypting the information, and storing it in a storage device; means for periodically analyzing the received information and reporting duplicate or invalid data to the client; and means for providing information to specific parties based on conditions specified by the client. This makes it possible to efficiently manage information and securely transfer it to the appropriate parties at the right time.

[0249] A "client" is the entity that provides information, and refers to the user who inputs and manages information through a terminal.

[0250] "Information" refers to all digital data held by the client, including account names, passwords, and digital content.

[0251] Encryption is the process of transforming information so that it cannot be seen by third parties, and it is a technology that improves data security by using specific algorithms.

[0252] "Storage device" refers to data storage installed on a server, and includes hardware or software for long-term storage and management of received information.

[0253] "Analysis" refers to the process of examining information in detail, particularly identifying duplicate or invalid data, and serves as a foundation for efficient management.

[0254] "Related parties" refer to specific individuals or organizations authorized to receive or access information, and are designated in advance by the client.

[0255] This invention is a system for securely managing a client's digital information and transferring that information to specific parties under specific conditions. It is configured so that the server, terminal, and user elements cooperate to perform its function.

[0256] Users input information through their device and send it to the server. This process involves entering information such as account names, passwords, and digital content using the interface on the device. Furthermore, the data is encrypted using the SSL / TLS protocol during transmission, ensuring secure transmission to the server.

[0257] The server encrypts the received information using advanced encryption technologies (such as AES) and securely stores it in storage. It also periodically analyzes the information using a generative AI model to efficiently manage it, identifying and reporting duplicate or invalid data to the user. This ensures that the information is always up-to-date and accurate.

[0258] Furthermore, users configure access permissions through their devices and prepare for the transfer of information. Based on these settings, the server develops a plan to transfer information to specific parties under the conditions specified by the client. Once the client's status is confirmed and the server recognizes the situation based on reports from external sources or family members, it notifies the designated parties of the authentication information and grants access to the information after a precise authentication process.

[0259] A concrete example is a case where a user registers a social media account and grants access rights to their family members. The server protects this information and discloses it to relevant parties according to the set conditions, allowing family members to access the user's social media account and carry out necessary procedures.

[0260] An example of a prompt message would be, "Please explain the process for transferring a user's social media account when the user dies."

[0261] By implementing the invention in this manner, it becomes possible to manage and transfer clients' digital information safely and efficiently.

[0262] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0263] Step 1:

[0264] The user inputs digital information through the terminal's interface. This input includes account information and related digital content. The input information is encrypted using the SSL / TLS protocol and sent to the server. As a result, encrypted information packets are generated as output from the terminal.

[0265] Step 2:

[0266] The server receives encrypted information from the terminal and re-encrypts it using advanced encryption technology (e.g., AES). The input is an encrypted information packet, which is processed for secure storage in the server's memory, and the output is further encrypted data. This data is confidential and stored securely.

[0267] Step 3:

[0268] The server periodically uses a generative AI model to analyze stored digital information. The input data is encrypted information stored in a storage device, and the AI ​​identifies duplicate and invalid data. As a result, a clean dataset without redundancy and report information for the user are output. The server notifies the user of these analysis results.

[0269] Step 4:

[0270] Users use their devices to modify and update digital information based on notifications from the server. The input is reported information provided by the server, and the user edits the information based on this. The output is the updated information, which is then re-encrypted and sent back to the server.

[0271] Step 5:

[0272] Users configure access permissions for various digital information on their devices. These settings, including conditions for information transfer, are sent to the server as input from the device. The output is the registered and securely stored configuration.

[0273] Step 6:

[0274] The server verifies information through external sources and declarations when the user's status is confirmed. Inputs include confirmation information from external databases and surviving family members, and the server uses this information to verify the status. Outputs are the verified status evaluation results.

[0275] Step 7:

[0276] The server grants access to information to specific authenticated parties. Inputs include configured access permission information and external status verification results; the server manages access based on these. Outputs are the access authentication information for the parties involved.

[0277] (Application Example 1)

[0278] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0279] This system ensures that users' digital assets are not managed haphazardly, but can be securely and easily transferred to specific individuals when needed. Traditional systems often struggle with the proper organization and transfer of digital assets, and may lack sufficient means to ensure authentication security. Therefore, there is a need to protect users' digital assets from leaks and unauthorized access while facilitating a smooth transfer.

[0280] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0281] In this invention, the server includes means for providing secure access to the system using the user's biometric authentication, means for identifying fraudulent or duplicate data using a generative AI model, and means for securely storing encrypted digital asset information on a storage medium. This makes it possible to securely store the user's digital asset information, prevent unauthorized access, and ensure that only accurate information is transferred to specific individuals.

[0282] A "user" is an individual or organization that uses the system for the purpose of managing and transferring digital asset information.

[0283] "Digital asset information" refers to electronically stored information such as social network accounts, online bank information, cloud storage data, etc.

[0284] "Encryption" is a technology that converts information using a specific algorithm to protect it from unauthorized access.

[0285] "Storage medium" is a physical or virtual data storage for securely storing encrypted digital asset information.

[0286] "Biometric authentication" is a technology that authenticates an individual using the user's biometric features, such as information on the face, fingerprints, retina, etc.

[0287] "Generative AI model" is a program that uses artificial intelligence technology to organize digital asset information and detect illegal data.

[0288] "Access" refers to the legitimate use or viewing of specific digital asset information.

[0289] "Inheritance" refers to the act of transferring digital asset information to a specific person based on conditions and circumstances set by the user.

[0290] This invention provides a system for securely managing the user's digital asset information and transferring that information to a specific person as needed. The system receives digital asset information, encrypts it for protection, and stores it securely in a storage medium. The user can access the system using biometric authentication, thereby preventing unauthorized access. In addition, the generative AI model regularly organizes the data to identify illegal or duplicate data.

[0291] The server encrypts the digital asset information entered by the user via the SSL / TLS protocol and receives it securely. The server also stores this information in a database using enhanced encryption methods and provides access based on the user's biometric authentication. This approach ensures the security of digital assets, allowing users to use the system with peace of mind.

[0292] As a concrete example, a user registers their social network accounts and cloud storage information in the system. The generative AI model analyzes this data, automatically detects duplicate entries, and notifies the user. As a result, data optimization is performed. Furthermore, it becomes possible to transfer information to a specified person based on conditions set by the user in advance. In addition, the use of the generative AI model is demonstrated using an example prompt such as, "Based on the user's registered data, please suggest a way to remove fraudulent or duplicate data."

[0293] In this way, the present invention enables the efficient and secure management of users' digital assets and their smooth transfer when necessary.

[0294] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0295] Step 1:

[0296] Users input digital asset information using a terminal and transmit the information via the system interface. Input data includes account name, password, and associated digital content. The terminal encrypts the entered information using the SSL / TLS protocol for secure transmission.

[0297] Step 2:

[0298] The server receives encrypted data sent from the terminal. It then transforms the received data using a more robust encryption method and stores it in a secure database. The input is SSL / TLS encrypted information, and the output is data encrypted on the server.

[0299] Step 3:

[0300] The server periodically uses a generative AI model to analyze digital asset information in the database. Here, fraudulent or duplicate data is identified; the input is existing data in the database, and the output is a list of fraudulent or duplicate entries. Based on these results, the server notifies the user.

[0301] Step 4:

[0302] The user corrects the data using their device based on the notification. The newly corrected data is resubmitted and reflected in the database using the same process as in steps 1 and 2. The input here is the digital asset information corrected by the user, and the output is the updated database.

[0303] Step 5:

[0304] Users obtain secure access to the system through biometric authentication. The device acquires biometric data, such as fingerprints or facial recognition, as input, and access to the server is granted only after passing the authentication process. The output indicates authenticated access rights.

[0305] Step 6:

[0306] The server manages the transfer of digital asset information to a specific person based on the access permissions specified by the user. If the specified conditions are met, the server sends appropriate authentication information to the recipient. The output includes the required authentication information and access authorization.

[0307] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0308] The digital heritage management system according to the present invention enables more appropriate information management and access provision by combining an emotion engine that recognizes the user's emotions. In addition to the basic functions of receiving, encrypting, and storing digital asset information from the user, the system has a function of analyzing the user's emotional state using the emotion engine.

[0309] First, the user registers digital asset information via a terminal and accesses the system. In this process, the user's operation data and interaction history are sent to the server, and the emotion engine analyzes the data. The analyzed emotion data is considered when the user organizes information or receives a report on specific information.

[0310] Based on the recognized emotional state, the server adjusts the presentation method and organization content of the digital asset information. For example, if it is analyzed that the user is feeling stressed, the system reduces the frequency of information organization or simplifies the report content to reduce the user's burden.

[0311] In addition, the user optimizes the timing and settings of information disclosure while referring to the feedback from the emotion engine. When the user is not emotionally stable, it is possible to automatically suspend or review the access settings for asset information.

[0312] As a specific example, consider the case where the user registers SNS login information in the system. If the emotion engine detects tension from the user's input operation, the server flexibly changes the confirmation process of the digital asset information and sends a notification again at a later date. In this way, more appropriate information management for the user can be performed.

[0313] With these functions, this system realizes effective and user-friendly management and transfer of digital asset information.

[0314] The processing flow will be described below.

[0315] Step 1:

[0316] The user uses a terminal to access the digital legacy management system and enters the necessary digital asset information. At this time, the terminal collects data such as operation logs, input speed, and keystroke patterns, and transmits it to the server.

[0317] Step 2:

[0318] The server provides the input data to the emotion engine in order to analyze the received data. Based on the collected operation logs, the emotion engine estimates the user's emotional state and returns the result to the server.

[0319] Step 3:

[0320] Based on the emotion data obtained from the emotion engine, the server adjusts the presentation method and organization method of the digital asset information. For example, if the user is judged to be in a stressed state, the notification of information organization is temporarily withheld or the content is made concise.

[0321] Step 4:

[0322] The user receives the information adjusted based on the judgment of the emotion engine on the terminal. Furthermore, the user sets or adjusts the timing of information disclosure and access rights in consideration of the emotion feedback.

[0323] Step 5:

[0324] The server saves the access rights and timing set by the user in the database. The settings are prepared to be updated in a timely manner according to changes in the user's emotional state.

[0325] Step 6:

[0326] If a user's death is confirmed, the server verifies the information through external databases and reports from family members, and then performs an authentication process for the specific individual.

[0327] Step 7:

[0328] Using a terminal, bereaved family members access the system based on authentication information provided by the server. After successful authentication, bereaved family members can view and manage digital asset information that has been adjusted to take their emotional state into consideration.

[0329] (Example 2)

[0330] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0331] In modern times, advancements in information technology have led to a significant increase in personal information assets. However, managing and transferring this information presents challenges such as emotional burdens on users and inappropriate information organization. In particular, when handling digital information, users are not always in a state of emotional stability, requiring feedback and adjustments to information organization tailored to their individual circumstances. There is a need for systems that can address these situations.

[0332] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0333] In this invention, the server includes means for receiving information from a user, securely processing the information, and storing it in a memory device; means equipped with an emotion determination engine for analyzing the received information and evaluating the user's emotional state; and means for adjusting the information organization method based on the emotional state and providing appropriate notifications to the user. This enables appropriate information management and reduced burden according to the user's emotional state.

[0334] A "user" is an individual or organization that inputs and manages information assets.

[0335] "Information" is a general term for data and access information stored in digital format.

[0336] "Secure processing" means using appropriate measures to protect information from unauthorized access and data breaches.

[0337] "Storage device" is a general term for digital data storage media used to store and manage information.

[0338] An "emotion determination engine" is a program or device that performs data analysis and processing to evaluate a user's emotional state.

[0339] "Information organization" is the act of classifying, arranging, or displaying received information based on specific criteria.

[0340] "Appropriate notification" refers to a means of communication that informs users of the status and changes of information in an easy-to-understand manner.

[0341] This invention presents a system configuration that allows users to manage information safely and efficiently, and to optimize data processing while taking their emotional state into consideration.

[0342] The system provides an interface for users to input personal information. Users transmit information to a digital platform using their devices. This information includes personal online account information and financial data. These devices may include, for example, personal computers or smartphones.

[0343] Once information is entered, the terminal sends it to the server. The server first applies an encryption algorithm to securely process the received information and records it in a storage device. In this process, the server can use data protection technology such as AES (Advanced Encryption Standard).

[0344] Next, the server analyzes the user's emotional state using an emotion assessment engine. This emotion assessment engine could be, for example, a software platform that provides natural language processing technology. The emotion assessment engine generates an emotion score from the user's operation data and input information.

[0345] Based on the generated sentiment score, the server adjusts how information is organized and the content of notifications sent to the user. For example, if the server determines that the user is stressed, it can simplify the notification content to reduce the user's burden.

[0346] Furthermore, the server provides feedback to the user, helping to understand their emotional state. This feedback is sent via email and in-app notifications.

[0347] A specific example of its use is when a user enters their social media login information; if the emotion detection engine detects a state of tension, the server can delay processing that information. This allows notifications to be sent to the user at a more appropriate time.

[0348] An example of a prompt message is, "Please describe the specific actions the server should take if tension is detected while the user is entering information."

[0349] Thus, the present invention enables safe and less burdensome information management for users.

[0350] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0351] Step 1:

[0352] Users input digital information using a device. This input includes personal online account information and financial data. Users enter information into a form via a dedicated application or web page and press the submit button. The entered data is sent from the device to the server.

[0353] Step 2:

[0354] The server securely processes the received information. Specifically, it processes the transmitted data using an encryption algorithm and stores it in a protected state in storage. The input received is the user's digital information, and the output is encrypted data. For example, the encryption method used is AES (Advanced Encryption Standard).

[0355] Step 3:

[0356] The server analyzes the user's emotional state using an emotion detection engine. For data analysis, the server passes the user's input data and operation history to the emotion detection engine. The input is the user's operation data, and the output is the user's emotion score. The emotion score is calculated using an algorithm employing natural language processing techniques.

[0357] Step 4:

[0358] The server adjusts the information organization method based on the analysis results. Specifically, it changes the frequency of information organization and the content of reports according to the user's emotion score. The input is the emotion score, and the output is the adjusted information processing guidelines. For example, if tension is detected, the notification content is simplified to reduce stress caused by information overload.

[0359] Step 5:

[0360] The server provides feedback to the user. This feedback is sent via email or in-app notifications and provides users with information to manage and change settings according to their emotional state. The input is a guideline for adjusted information processing, and the output is a notification to the user. Specifically, this includes information about future access restrictions.

[0361] Step 6:

[0362] Users optimize their information access settings based on the feedback they submit. They review notifications and, taking sentiment-based suggestions into account, reconsider when and how they access information. Specifically, they click the link in the notification to open the settings screen and adjust information access rights and notification frequency as needed.

[0363] (Application Example 2)

[0364] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0365] In the modern era, managing digital heritage and improving the user experience associated with it are crucial, but information organization and access methods that consider user emotions are often lacking. As a result, users frequently experience emotional burden. Furthermore, even in the appropriate selection and presentation of digital content, there is a lack of dynamic adjustments that take into account individual emotional states.

[0366] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0367] In this invention, the server includes means for recognizing the user's emotional state and adjusting the method of presenting digital asset information based on this recognition result; means for dynamically selecting and displaying digital content using the user's emotional state; and means for an emotion engine to generate feedback by analyzing the user's operation data and dialogue history. This enables flexible and appropriate management and display of digital heritage in accordance with the user's emotions.

[0368] A "user" is an individual who manages digital asset information and performs operations and interactions with the system.

[0369] "Digital asset information" refers to all digital data and information owned by a user, including photos, videos, login information, etc.

[0370] "Encryption" refers to the process of converting digital asset information into a format that cannot be read by third parties, and is carried out to enhance its security.

[0371] An "emotion engine" is a software component that analyzes user operation data and dialogue history to determine their emotional state at that time.

[0372] "Adjusting the presentation method" means optimizing the order and method of displaying information on the screen based on the user's perceived emotional state.

[0373] "Dynamic selection and display" refers to a process that automatically selects and visually presents appropriate content based on the user's real-time emotions.

[0374] "Operation data" refers to the history of inputs and selections generated during the user's use of the system.

[0375] "Dialogue history" refers to a record of a series of communications a user has with the system, and based on this, an individual's emotions and intentions can be inferred.

[0376] "Feedback" refers to information provided to users based on the results of analysis by the emotion engine, and is used to improve the organization and display methods of digital asset information.

[0377] The system implementing this invention effectively manages users' digital asset information and provides information tailored to the user's emotional state. The system's program is primarily composed of an emotion recognition engine using Python and TensorFlow.

[0378] The server first encrypts the digital asset information received from the user's terminal and securely stores it in a database. Advanced encryption algorithms are used to ensure the security of the digital assets.

[0379] Subsequently, the system monitors operation data and dialogue history in real time, and the emotion engine analyzes the user's current emotional state. This analysis uses data from emotion sensors and cameras as input. Based on the collected data, the server detects changes in emotion and adjusts the way information is presented to reduce the user's burden.

[0380] For example, if the user is relaxed, photos and videos of memories can be displayed in a soft tone. Conversely, if the user is stressed, the frequency of information provided can be reduced, and it can be presented in a more concise format.

[0381] Furthermore, the server dynamically selects digital content based on the user's emotional state. It uses a generation AI model to select content appropriate for a specific emotional state and presents it to the user at the right time. This process is continuously adjusted based on emotional feedback.

[0382] For example, if the family is relaxed after dinner, the system will project photos related to the day's memories, encouraging family conversation. This feature is expected to facilitate smoother communication within the family.

[0383] An example of a prompt is, "Imagine a natural user experience where Emory acquires facial recognition data and performs real-time sentiment analysis." This prompt clarifies how the system provides emotion-based services.

[0384] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0385] Step 1:

[0386] The server receives digital asset information from the user's terminal. The received digital asset information is securely stored in the database after applying an encryption algorithm. In this step, the raw input data is output as encrypted data.

[0387] Step 2:

[0388] The user's device sends operation data and dialogue history to the emotion engine. The emotion engine uses TensorFlow to analyze this data and detect the emotional state. The input to this step is the user's operation data and dialogue history, and the output is the identification result of the user's emotional state.

[0389] Step 3:

[0390] The server adjusts how information is presented based on the analyzed emotional state. For example, if the user is in a specific emotional state (e.g., stress), it simplifies the information presentation. The input is the identified emotional state, and the output is the adjusted information presentation format.

[0391] Step 4:

[0392] The server uses a generating AI model to select digital content appropriate to the user's emotional state. This model generates content based on prompts that identify the optimal content, using past training data. The input is the emotional state and the generating AI's prompts, and the output is the selected digital content.

[0393] Step 5:

[0394] Users view selected digital content via their devices. The server collects user feedback and uses it to improve future presentation methods. The inputs to this step are the selected digital content and user feedback, and the output is the optimization of the service based on that feedback.

[0395] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0396] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0397] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0398] [Third Embodiment]

[0399] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0400] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0401] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0402] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0403] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0404] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0405] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0406] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0407] The specific processing program 56 is an example of the "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 operating as the specific processing unit 290 according to the specific processing program 56 that the processor 28 executes on the RAM 30.

[0408] 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 specific processing unit 290.

[0409] In the headset type terminal 314, reception / output processing is performed by the processor 46. The storage 50 stores a reception / output program 60. The processor 46 reads the reception / output program 60 from the storage 50 and executes the read reception / output program 60 on the RAM 48. The reception / output processing is realized by operating as the control unit 46A according to the reception / output program 60 that the processor 46 executes on the RAM 48.

[0410] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 is referred to as a "server", and the headset type terminal 314 is referred to as a "terminal".

[0411] The digital heritage management system according to the present invention is for safely managing digital asset information possessed by a user and smoothly transferring the information to a designated person under specific conditions. This system operates between the server and the user's terminal and is implemented as follows.

[0412] Users first register their digital asset information with the system by entering the information through an interface on their terminal. This information includes account name, password, and associated digital content. When transmitting the information, the server encrypts it using the SSL / TLS protocol and receives it securely. The received information is further encrypted by the server and stored in a secure database.

[0413] Periodically, the server uses artificial intelligence to analyze digital asset information and detect duplicate or invalid data. This ensures that users always have up-to-date and valid information and can update it as needed. The results of the analysis are notified to the user, who can then make corrections through their own device.

[0414] Users also pre-configure access permissions for each digital asset to prepare for unforeseen circumstances. Based on this configuration, the server plans to disclose information to specific individuals if the user's death is confirmed. The user's death is confirmed through external databases or reports from family members. After confirmation, the server notifies the family of the appropriate authentication information and grants access to the digital asset information through a precise authentication process.

[0415] As a concrete example, when a user registers an SNS account, the user provides their SNS login information to the system and sets access rights for their family in the event of death. The server protects this information and discloses it to the family at a specified time. This allows the family to access the user's SNS account and carry out the necessary procedures.

[0416] In this way, the present invention enables the secure management and appropriate transfer of digital asset information.

[0417] The following describes the processing flow.

[0418] Step 1:

[0419] The user uses a terminal to access the system interface and enter digital asset information. At this time, the user provides account name, password, and related service information.

[0420] Step 2:

[0421] The server receives digital asset information sent by the user via the SSL / TLS protocol and securely encrypts it. The received data is further encrypted and stored in a secure database.

[0422] Step 3:

[0423] The server periodically uses artificial intelligence to analyze the digital asset information stored in the database. It then detects duplicate or invalid information and prepares to notify the user of the results.

[0424] Step 4:

[0425] The user receives a notification and logs back into the system from their device to review the results and update or delete any unnecessary or outdated information. This updated information is then sent back to the server to update the database.

[0426] Step 5:

[0427] Users set access permissions for each digital asset in preparation for future information disclosure. These settings include the timing of disclosure to specific individuals.

[0428] Step 6:

[0429] The server performs the user death confirmation process through external databases and declarations from family members. Once death is confirmed, it initiates a process to provide access rights authentication information to the family based on pre-configured information.

[0430] Step 7:

[0431] Through the device, bereaved family members can attempt to access the system using the provided authentication information, and if successful, they can view or manage the necessary digital asset information.

[0432] (Example 1)

[0433] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0434] In modern society, managing and securely transferring client information is a critical issue. In particular, there is a lack of efficient and secure methods for organizing information according to the client's situation and transferring it to the appropriate stakeholders. Traditional systems require significant effort and time for information organization and transfer, and also increase the risk of unauthorized access.

[0435] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0436] In this invention, the server includes means for receiving information from a client, encrypting the information, and storing it in a storage device; means for periodically analyzing the received information and reporting duplicate or invalid data to the client; and means for providing information to specific parties based on conditions specified by the client. This makes it possible to efficiently manage information and securely transfer it to the appropriate parties at the right time.

[0437] A "client" is the entity that provides information, and refers to the user who inputs and manages information through a terminal.

[0438] "Information" refers to all digital data held by the client, including account names, passwords, and digital content.

[0439] Encryption is the process of transforming information so that it cannot be seen by third parties, and it is a technology that improves data security by using specific algorithms.

[0440] "Storage device" refers to data storage installed on a server, and includes hardware or software for long-term storage and management of received information.

[0441] "Analysis" refers to the process of examining information in detail, particularly identifying duplicate or invalid data, and serves as a foundation for efficient management.

[0442] "Related parties" refer to specific individuals or organizations authorized to receive or access information, and are designated in advance by the client.

[0443] This invention is a system for securely managing a client's digital information and transferring that information to specific parties under specific conditions. It is configured so that the server, terminal, and user elements cooperate to perform its function.

[0444] Users input information through their device and send it to the server. This process involves entering information such as account names, passwords, and digital content using the interface on the device. Furthermore, the data is encrypted using the SSL / TLS protocol during transmission, ensuring secure transmission to the server.

[0445] The server encrypts the received information using advanced encryption technologies (such as AES) and securely stores it in storage. It also periodically analyzes the information using a generative AI model to efficiently manage it, identifying and reporting duplicate or invalid data to the user. This ensures that the information is always up-to-date and accurate.

[0446] Furthermore, users configure access permissions through their devices and prepare for the transfer of information. Based on these settings, the server develops a plan to transfer information to specific parties under the conditions specified by the client. Once the client's status is confirmed and the server recognizes the situation based on reports from external sources or family members, it notifies the designated parties of the authentication information and grants access to the information after a precise authentication process.

[0447] A concrete example is a case where a user registers a social media account and grants access rights to their family members. The server protects this information and discloses it to relevant parties according to the set conditions, allowing family members to access the user's social media account and carry out necessary procedures.

[0448] An example of a prompt message would be, "Please explain the process for transferring a user's social media account when the user dies."

[0449] By implementing the invention in this manner, it becomes possible to manage and transfer clients' digital information safely and efficiently.

[0450] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0451] Step 1:

[0452] The user inputs digital information through the terminal's interface. This input includes account information and related digital content. The input information is encrypted using the SSL / TLS protocol and sent to the server. As a result, encrypted information packets are generated as output from the terminal.

[0453] Step 2:

[0454] The server receives encrypted information from the terminal and re-encrypts it using advanced encryption technology (e.g., AES). The input is an encrypted information packet, which is processed for secure storage in the server's memory, and the output is further encrypted data. This data is confidential and stored securely.

[0455] Step 3:

[0456] The server periodically uses a generative AI model to analyze stored digital information. The input data is encrypted information stored in a storage device, and the AI ​​identifies duplicate and invalid data. As a result, a clean dataset without redundancy and report information for the user are output. The server notifies the user of these analysis results.

[0457] Step 4:

[0458] Users use their devices to modify and update digital information based on notifications from the server. The input is reported information provided by the server, and the user edits the information based on this. The output is the updated information, which is then re-encrypted and sent back to the server.

[0459] Step 5:

[0460] Users configure access permissions for various digital information on their devices. These settings, including conditions for information transfer, are sent to the server as input from the device. The output is the registered and securely stored configuration.

[0461] Step 6:

[0462] The server verifies information through external sources and declarations when the user's status is confirmed. Inputs include confirmation information from external databases and surviving family members, and the server uses this information to verify the status. Outputs are the verified status evaluation results.

[0463] Step 7:

[0464] The server grants access to information to specific authenticated parties. Inputs include configured access permission information and external status verification results; the server manages access based on these. Outputs are the access authentication information for the parties involved.

[0465] (Application Example 1)

[0466] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0467] This system ensures that users' digital assets are not managed haphazardly, but can be securely and easily transferred to specific individuals when needed. Traditional systems often struggle with the proper organization and transfer of digital assets, and may lack sufficient means to ensure authentication security. Therefore, there is a need to protect users' digital assets from leaks and unauthorized access while facilitating a smooth transfer.

[0468] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0469] In this invention, the server includes means for providing secure access to the system using the user's biometric authentication, means for identifying fraudulent or duplicate data using a generative AI model, and means for securely storing encrypted digital asset information on a storage medium. This makes it possible to securely store the user's digital asset information, prevent unauthorized access, and ensure that only accurate information is transferred to specific individuals.

[0470] A "user" is an individual or organization that uses the system for the purpose of managing and transferring digital asset information.

[0471] "Digital asset information" refers to electronically stored information such as social network accounts, online banking information, and cloud storage data.

[0472] "Encryption" is a technology that protects information from unauthorized access by transforming it using a specific algorithm.

[0473] A "storage medium" is a physical or virtual data storage device used to securely store encrypted digital asset information.

[0474] "Biometric authentication" is a technology that uses a user's biometric characteristics, such as facial features, fingerprints, or retinal information, to authenticate an individual.

[0475] A "generative AI model" is a program that uses artificial intelligence technology to organize digital asset information and detect fraudulent data.

[0476] "Access" refers to legitimate use or viewing of specific digital asset information.

[0477] "Inheritance" refers to the act of transferring digital asset information to a specific person based on conditions and circumstances set by the user.

[0478] This invention provides a system for securely managing users' digital asset information and transferring that information to specific individuals as needed. The system receives digital asset information, encrypts it for protection, and securely stores it on a storage medium. Users can access the system using biometric authentication, thereby preventing unauthorized access. In addition, a generative AI model periodically organizes the data and identifies fraudulent or duplicate data.

[0479] The server encrypts the digital asset information entered by the user via the SSL / TLS protocol and receives it securely. The server also stores this information in a database using enhanced encryption methods and provides access based on the user's biometric authentication. This approach ensures the security of digital assets, allowing users to use the system with peace of mind.

[0480] As a concrete example, a user registers their social network accounts and cloud storage information in the system. The generative AI model analyzes this data, automatically detects duplicate entries, and notifies the user. As a result, data optimization is performed. Furthermore, it becomes possible to transfer information to a specified person based on conditions set by the user in advance. In addition, the use of the generative AI model is demonstrated using an example prompt such as, "Based on the user's registered data, please suggest a way to remove fraudulent or duplicate data."

[0481] In this way, the present invention enables the efficient and secure management of users' digital assets and their smooth transfer when necessary.

[0482] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0483] Step 1:

[0484] Users input digital asset information using a terminal and transmit the information via the system interface. Input data includes account name, password, and associated digital content. The terminal encrypts the entered information using the SSL / TLS protocol for secure transmission.

[0485] Step 2:

[0486] The server receives encrypted data sent from the terminal. It then transforms the received data using a more robust encryption method and stores it in a secure database. The input is SSL / TLS encrypted information, and the output is data encrypted on the server.

[0487] Step 3:

[0488] The server periodically uses a generative AI model to analyze digital asset information in the database. Here, fraudulent or duplicate data is identified; the input is existing data in the database, and the output is a list of fraudulent or duplicate entries. Based on these results, the server notifies the user.

[0489] Step 4:

[0490] The user corrects the data using their device based on the notification. The newly corrected data is resubmitted and reflected in the database using the same process as in steps 1 and 2. The input here is the digital asset information corrected by the user, and the output is the updated database.

[0491] Step 5:

[0492] Users obtain secure access to the system through biometric authentication. The device acquires biometric data, such as fingerprints or facial recognition, as input, and access to the server is granted only after passing the authentication process. The output indicates authenticated access rights.

[0493] Step 6:

[0494] The server manages the transfer of digital asset information to a specific person based on the access permissions specified by the user. If the specified conditions are met, the server sends appropriate authentication information to the recipient. The output includes the required authentication information and access authorization.

[0495] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0496] The digital heritage management system according to the present invention enables more appropriate information management and access provision by combining an emotion engine that recognizes the user's emotions. In addition to the basic function of receiving, encrypting, and storing digital asset information from the user, the system has a function of analyzing the user's emotional state using the emotion engine.

[0497] First, the user registers digital asset information via a terminal and accesses the system. In this process, the user's operation data and interaction history are sent to the server, and the emotion engine analyzes the data. The analyzed emotion data is considered when the user organizes information or receives a report on specific information.

[0498] Based on the recognized emotional state, the server adjusts the presentation method and organized content of the digital asset information. For example, if it is analyzed that the user is feeling stressed, the system reduces the frequency of information organization or simplifies the report content to reduce the user's burden.

[0499] In addition, the user optimizes the timing and settings of information disclosure while referring to the feedback from the emotion engine. When the user is not emotionally stable, it is possible to automatically suspend or review the access settings for asset information.

[0500] As a specific example, consider the case where the user registers SNS login information in the system. If the emotion engine detects tension from the user's input operation, the server flexibly changes the confirmation process of the digital asset information and sends a notification again at a later date. In this way, more appropriate information management for the user can be performed.

[0501] With these functions, this system realizes effective and user-friendly management and transfer of digital asset information.

[0502] The processing flow will be described below.

[0503] Step 1:

[0504] The user accesses the digital legacy management system using a terminal and enters the necessary digital asset information. At this time, the terminal collects data such as operation logs, input speed, and keystroke patterns, and transmits it to the server.

[0505] Step 2:

[0506] To analyze the received data, the server provides the input data to the emotion engine. Based on the collected operation logs, the emotion engine estimates the user's emotional state and returns the result to the server.

[0507] Step 3:

[0508] Based on the emotion data obtained from the emotion engine, the server adjusts the presentation method and organization method of the digital asset information. For example, if the user is judged to be in a stressed state, the notification of information organization is temporarily withheld or the content is made concise.

[0509] Step 4:

[0510] The user receives the information adjusted based on the judgment of the emotion engine on the terminal. Furthermore, the user sets or adjusts the timing of information disclosure and access rights in consideration of the emotion feedback.

[0511] Step 5:

[0512] The server saves the access rights and timing set by the user in the database. The settings are prepared to be updated in a timely manner according to changes in the user's emotional state.

[0513] Step 6:

[0514] If a user's death is confirmed, the server verifies the information through external databases and reports from family members, and then performs an authentication process for the specific individual.

[0515] Step 7:

[0516] Using a terminal, bereaved family members access the system based on authentication information provided by the server. After successful authentication, bereaved family members can view and manage digital asset information that has been adjusted to take their emotional state into consideration.

[0517] (Example 2)

[0518] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0519] In modern times, advancements in information technology have led to a significant increase in personal information assets. However, managing and transferring this information presents challenges such as emotional burdens on users and inappropriate information organization. In particular, when handling digital information, users are not always in a state of emotional stability, requiring feedback and adjustments to information organization tailored to their individual circumstances. There is a need for systems that can address these situations.

[0520] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0521] In this invention, the server includes means for receiving information from a user, securely processing the information, and storing it in a memory device; means equipped with an emotion determination engine for analyzing the received information and evaluating the user's emotional state; and means for adjusting the information organization method based on the emotional state and providing appropriate notifications to the user. This enables appropriate information management and reduced burden according to the user's emotional state.

[0522] A "user" is an individual or organization that inputs and manages information assets.

[0523] "Information" is a general term for data and access information stored in digital format.

[0524] "Secure processing" means using appropriate measures to protect information from unauthorized access and data breaches.

[0525] "Storage device" is a general term for digital data storage media used to store and manage information.

[0526] An "emotion determination engine" is a program or device that performs data analysis and processing to evaluate a user's emotional state.

[0527] "Information organization" is the act of classifying, arranging, or displaying received information based on specific criteria.

[0528] "Appropriate notification" refers to a means of communication that informs users of the status and changes of information in an easy-to-understand manner.

[0529] This invention presents a system configuration that allows users to manage information safely and efficiently, and to optimize data processing while taking their emotional state into consideration.

[0530] The system provides an interface for users to input personal information. Users transmit information to a digital platform using their devices. This information includes personal online account information and financial data. These devices may include, for example, personal computers or smartphones.

[0531] Once information is entered, the terminal sends it to the server. The server first applies an encryption algorithm to securely process the received information and records it in a storage device. In this process, the server can use data protection technology such as AES (Advanced Encryption Standard).

[0532] Next, the server analyzes the user's emotional state using an emotion assessment engine. This emotion assessment engine could be, for example, a software platform that provides natural language processing technology. The emotion assessment engine generates an emotion score from the user's operation data and input information.

[0533] Based on the generated sentiment score, the server adjusts how information is organized and the content of notifications sent to the user. For example, if the server determines that the user is stressed, it can simplify the notification content to reduce the user's burden.

[0534] Furthermore, the server provides feedback to the user, helping to understand their emotional state. This feedback is sent via email and in-app notifications.

[0535] A specific example of its use is when a user enters their social media login information; if the emotion detection engine detects a state of tension, the server can delay processing that information. This allows notifications to be sent to the user at a more appropriate time.

[0536] An example of a prompt message is, "Please describe the specific actions the server should take if tension is detected while the user is entering information."

[0537] Thus, the present invention enables safe and less burdensome information management for users.

[0538] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0539] Step 1:

[0540] Users input digital information using a device. This input includes personal online account information and financial data. Users enter information into a form via a dedicated application or web page and press the submit button. The entered data is sent from the device to the server.

[0541] Step 2:

[0542] The server securely processes the received information. Specifically, it processes the transmitted data using an encryption algorithm and stores it in a protected state in storage. The input received is the user's digital information, and the output is encrypted data. For example, the encryption method used is AES (Advanced Encryption Standard).

[0543] Step 3:

[0544] The server analyzes the user's emotional state using an emotion detection engine. For data analysis, the server passes the user's input data and operation history to the emotion detection engine. The input is the user's operation data, and the output is the user's emotion score. The emotion score is calculated using an algorithm employing natural language processing techniques.

[0545] Step 4:

[0546] The server adjusts the information organization method based on the analysis results. Specifically, it changes the frequency of information organization and the content of reports according to the user's emotion score. The input is the emotion score, and the output is the adjusted information processing guidelines. For example, if tension is detected, the notification content is simplified to reduce stress caused by information overload.

[0547] Step 5:

[0548] The server provides feedback to the user. This feedback is sent via email or in-app notifications and provides users with information to manage and change settings according to their emotional state. The input is a guideline for adjusted information processing, and the output is a notification to the user. Specifically, this includes information about future access restrictions.

[0549] Step 6:

[0550] Users optimize their information access settings based on the feedback they submit. They review notifications and, taking sentiment-based suggestions into account, reconsider when and how they access information. Specifically, they click the link in the notification to open the settings screen and adjust information access rights and notification frequency as needed.

[0551] (Application Example 2)

[0552] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0553] In the modern era, managing digital heritage and improving the user experience associated with it are crucial, but information organization and access methods that consider user emotions are often lacking. As a result, users frequently experience emotional burden. Furthermore, even in the appropriate selection and presentation of digital content, there is a lack of dynamic adjustments that take into account individual emotional states.

[0554] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0555] In this invention, the server includes means for recognizing the user's emotional state and adjusting the method of presenting digital asset information based on this recognition result; means for dynamically selecting and displaying digital content using the user's emotional state; and means for an emotion engine to generate feedback by analyzing the user's operation data and dialogue history. This enables flexible and appropriate management and display of digital heritage in accordance with the user's emotions.

[0556] A "user" is an individual who manages digital asset information and performs operations and interactions with the system.

[0557] "Digital asset information" refers to all digital data and information owned by a user, including photos, videos, login information, etc.

[0558] "Encryption" refers to the process of converting digital asset information into a format that cannot be read by third parties, and is carried out to enhance its security.

[0559] An "emotion engine" is a software component that analyzes user operation data and dialogue history to determine their emotional state at that time.

[0560] "Adjusting the presentation method" means optimizing the order and method of displaying information on the screen based on the user's perceived emotional state.

[0561] "Dynamic selection and display" refers to a process that automatically selects and visually presents appropriate content based on the user's real-time emotions.

[0562] "Operation data" refers to the history of inputs and selections generated during the user's use of the system.

[0563] "Dialogue history" refers to a record of a series of communications a user has with the system, and based on this, an individual's emotions and intentions can be inferred.

[0564] "Feedback" refers to information provided to users based on the results of analysis by the emotion engine, and is used to improve the organization and display methods of digital asset information.

[0565] The system implementing this invention effectively manages users' digital asset information and provides information tailored to the user's emotional state. The system's program is primarily composed of an emotion recognition engine using Python and TensorFlow.

[0566] The server first encrypts the digital asset information received from the user's terminal and securely stores it in a database. Advanced encryption algorithms are used to ensure the security of the digital assets.

[0567] Subsequently, the system monitors operation data and dialogue history in real time, and the emotion engine analyzes the user's current emotional state. This analysis uses data from emotion sensors and cameras as input. Based on the collected data, the server detects changes in emotion and adjusts the way information is presented to reduce the user's burden.

[0568] For example, if the user is relaxed, photos and videos of memories can be displayed in a soft tone. Conversely, if the user is stressed, the frequency of information provided can be reduced, and it can be presented in a more concise format.

[0569] Furthermore, the server dynamically selects digital content based on the user's emotional state. It uses a generation AI model to select content appropriate for a specific emotional state and presents it to the user at the right time. This process is continuously adjusted based on emotional feedback.

[0570] For example, if the family is relaxed after dinner, the system will project photos related to the day's memories, encouraging family conversation. This feature is expected to facilitate smoother communication within the family.

[0571] An example of a prompt is, "Imagine a natural user experience where Emory acquires facial recognition data and performs real-time sentiment analysis." This prompt clarifies how the system provides emotion-based services.

[0572] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0573] Step 1:

[0574] The server receives digital asset information from the user's terminal. The received digital asset information is securely stored in the database after applying an encryption algorithm. In this step, the raw input data is output as encrypted data.

[0575] Step 2:

[0576] The user's device sends operation data and dialogue history to the emotion engine. The emotion engine uses TensorFlow to analyze this data and detect the emotional state. The input to this step is the user's operation data and dialogue history, and the output is the identification result of the user's emotional state.

[0577] Step 3:

[0578] The server adjusts how information is presented based on the analyzed emotional state. For example, if the user is in a specific emotional state (e.g., stress), it simplifies the information presentation. The input is the identified emotional state, and the output is the adjusted information presentation format.

[0579] Step 4:

[0580] The server uses a generating AI model to select digital content appropriate to the user's emotional state. This model generates content based on prompts that identify the optimal content, using past training data. The input is the emotional state and the generating AI's prompts, and the output is the selected digital content.

[0581] Step 5:

[0582] Users view selected digital content via their devices. The server collects user feedback and uses it to improve future presentation methods. The inputs to this step are the selected digital content and user feedback, and the output is the optimization of the service based on that feedback.

[0583] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0584] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0585] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0586] [Fourth Embodiment]

[0587] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0588] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0589] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0590] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0591] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0592] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0593] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0594] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0595] 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, specific processing is performed by the processor 28. The storage 32 stores a specific processing program 56.

[0596] The specific processing program 56 is an example of the "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 operating as a specific processing unit 290 according to the specific processing program 56 executed by the processor 28 on the RAM 30.

[0597] 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 specific processing unit 290.

[0598] In the robot 414, reception / output processing is performed by the processor 46. The storage 50 stores a reception / output program 60. The processor 46 reads the reception / output program 60 from the storage 50 and executes the read reception / output program 60 on the RAM 48. The reception / output processing is realized by operating as a control unit 46A according to the reception / output program 60 executed by the processor 46 on the RAM 48.

[0599] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 is referred to as a "server", and the robot 414 is referred to as a "terminal".

[0600] The digital heritage management system according to the present invention is for safely managing digital asset information held by a user and smoothly transferring the information to a specified person under specific conditions. This system operates between the server and the user's terminal and is implemented as follows.

[0601] Users first register their digital asset information with the system by entering the information through an interface on their terminal. This information includes account name, password, and associated digital content. When transmitting the information, the server encrypts it using the SSL / TLS protocol and receives it securely. The received information is further encrypted by the server and stored in a secure database.

[0602] Periodically, the server uses artificial intelligence to analyze digital asset information and detect duplicate or invalid data. This ensures that users always have up-to-date and valid information and can update it as needed. The results of the analysis are notified to the user, who can then make corrections through their own device.

[0603] Users also pre-configure access permissions for each digital asset to prepare for unforeseen circumstances. Based on this configuration, the server plans to disclose information to specific individuals if the user's death is confirmed. The user's death is confirmed through external databases or reports from family members. After confirmation, the server notifies the family of the appropriate authentication information and grants access to the digital asset information through a precise authentication process.

[0604] As a concrete example, when a user registers an SNS account, the user provides their SNS login information to the system and sets access rights for their family in the event of death. The server protects this information and discloses it to the family at a specified time. This allows the family to access the user's SNS account and carry out the necessary procedures.

[0605] In this way, the present invention enables the secure management and appropriate transfer of digital asset information.

[0606] The following describes the processing flow.

[0607] Step 1:

[0608] The user uses a terminal to access the system interface and enter digital asset information. At this time, the user provides account name, password, and related service information.

[0609] Step 2:

[0610] The server receives digital asset information sent by the user via the SSL / TLS protocol and securely encrypts it. The received data is further encrypted and stored in a secure database.

[0611] Step 3:

[0612] The server periodically uses artificial intelligence to analyze the digital asset information stored in the database. It then detects duplicate or invalid information and prepares to notify the user of the results.

[0613] Step 4:

[0614] The user receives a notification and logs back into the system from their device to review the results and update or delete any unnecessary or outdated information. This updated information is then sent back to the server to update the database.

[0615] Step 5:

[0616] Users set access permissions for each digital asset in preparation for future information disclosure. These settings include the timing of disclosure to specific individuals.

[0617] Step 6:

[0618] The server performs the user death confirmation process through external databases and declarations from family members. Once death is confirmed, it initiates a process to provide access rights authentication information to the family based on pre-configured information.

[0619] Step 7:

[0620] Through the device, bereaved family members can attempt to access the system using the provided authentication information, and if successful, they can view or manage the necessary digital asset information.

[0621] (Example 1)

[0622] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0623] In modern society, managing and securely transferring client information is a critical issue. In particular, there is a lack of efficient and secure methods for organizing information according to the client's situation and transferring it to the appropriate stakeholders. Traditional systems require significant effort and time for information organization and transfer, and also increase the risk of unauthorized access.

[0624] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0625] In this invention, the server includes means for receiving information from a client, encrypting the information, and storing it in a storage device; means for periodically analyzing the received information and reporting duplicate or invalid data to the client; and means for providing information to specific parties based on conditions specified by the client. This makes it possible to efficiently manage information and securely transfer it to the appropriate parties at the right time.

[0626] A "client" is the entity that provides information, and refers to the user who inputs and manages information through a terminal.

[0627] "Information" refers to all digital data held by the client, including account names, passwords, and digital content.

[0628] Encryption is the process of transforming information so that it cannot be seen by third parties, and it is a technology that improves data security by using specific algorithms.

[0629] "Storage device" refers to data storage installed on a server, and includes hardware or software for long-term storage and management of received information.

[0630] "Analysis" refers to the process of examining information in detail, particularly identifying duplicate or invalid data, and serves as a foundation for efficient management.

[0631] "Related parties" refer to specific individuals or organizations authorized to receive or access information, and are designated in advance by the client.

[0632] This invention is a system for securely managing a client's digital information and transferring that information to specific parties under specific conditions. It is configured so that the server, terminal, and user elements cooperate to perform its function.

[0633] Users input information through their device and send it to the server. This process involves entering information such as account names, passwords, and digital content using the interface on the device. Furthermore, the data is encrypted using the SSL / TLS protocol during transmission, ensuring secure transmission to the server.

[0634] The server encrypts the received information using advanced encryption technologies (such as AES) and securely stores it in storage. It also periodically analyzes the information using a generative AI model to efficiently manage it, identifying and reporting duplicate or invalid data to the user. This ensures that the information is always up-to-date and accurate.

[0635] Furthermore, users configure access permissions through their devices and prepare for the transfer of information. Based on these settings, the server develops a plan to transfer information to specific parties under the conditions specified by the client. Once the client's status is confirmed and the server recognizes the situation based on reports from external sources or family members, it notifies the designated parties of the authentication information and grants access to the information after a precise authentication process.

[0636] A concrete example is a case where a user registers a social media account and grants access rights to their family members. The server protects this information and discloses it to relevant parties according to the set conditions, allowing family members to access the user's social media account and carry out necessary procedures.

[0637] An example of a prompt message would be, "Please explain the process for transferring a user's social media account when the user dies."

[0638] By implementing the invention in this manner, it becomes possible to manage and transfer clients' digital information safely and efficiently.

[0639] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0640] Step 1:

[0641] The user inputs digital information through the terminal's interface. This input includes account information and related digital content. The input information is encrypted using the SSL / TLS protocol and sent to the server. As a result, encrypted information packets are generated as output from the terminal.

[0642] Step 2:

[0643] The server receives encrypted information from the terminal and re-encrypts it using advanced encryption technology (e.g., AES). The input is an encrypted information packet, which is processed for secure storage in the server's memory, and the output is further encrypted data. This data is confidential and stored securely.

[0644] Step 3:

[0645] The server periodically uses a generative AI model to analyze stored digital information. The input data is encrypted information stored in a storage device, and the AI ​​identifies duplicate and invalid data. As a result, a clean dataset without redundancy and report information for the user are output. The server notifies the user of these analysis results.

[0646] Step 4:

[0647] Users use their devices to modify and update digital information based on notifications from the server. The input is reported information provided by the server, and the user edits the information based on this. The output is the updated information, which is then re-encrypted and sent back to the server.

[0648] Step 5:

[0649] Users configure access permissions for various digital information on their devices. These settings, including conditions for information transfer, are sent to the server as input from the device. The output is the registered and securely stored configuration.

[0650] Step 6:

[0651] The server verifies information through external sources and declarations when the user's status is confirmed. Inputs include confirmation information from external databases and surviving family members, and the server uses this information to verify the status. Outputs are the verified status evaluation results.

[0652] Step 7:

[0653] The server grants access to information to specific authenticated parties. Inputs include configured access permission information and external status verification results; the server manages access based on these. Outputs are the access authentication information for the parties involved.

[0654] (Application Example 1)

[0655] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0656] This system ensures that users' digital assets are not managed haphazardly, but can be securely and easily transferred to specific individuals when needed. Traditional systems often struggle with the proper organization and transfer of digital assets, and may lack sufficient means to ensure authentication security. Therefore, there is a need to protect users' digital assets from leaks and unauthorized access while facilitating a smooth transfer.

[0657] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0658] In this invention, the server includes means for providing secure access to the system using the user's biometric authentication, means for identifying fraudulent or duplicate data using a generative AI model, and means for securely storing encrypted digital asset information on a storage medium. This makes it possible to securely store the user's digital asset information, prevent unauthorized access, and ensure that only accurate information is transferred to specific individuals.

[0659] A "user" is an individual or organization that uses the system for the purpose of managing and transferring digital asset information.

[0660] "Digital asset information" refers to electronically stored information such as social network accounts, online banking information, and cloud storage data.

[0661] "Encryption" is a technology that protects information from unauthorized access by transforming it using a specific algorithm.

[0662] A "storage medium" is a physical or virtual data storage device used to securely store encrypted digital asset information.

[0663] "Biometric authentication" is a technology that uses a user's biometric characteristics, such as facial features, fingerprints, or retinal information, to authenticate an individual.

[0664] A "generative AI model" is a program that uses artificial intelligence technology to organize digital asset information and detect fraudulent data.

[0665] "Access" refers to legitimate use or viewing of specific digital asset information.

[0666] "Inheritance" refers to the act of transferring digital asset information to a specific person based on conditions and circumstances set by the user.

[0667] This invention provides a system for securely managing users' digital asset information and transferring that information to specific individuals as needed. The system receives digital asset information, encrypts it for protection, and securely stores it on a storage medium. Users can access the system using biometric authentication, thereby preventing unauthorized access. In addition, a generative AI model periodically organizes the data and identifies fraudulent or duplicate data.

[0668] The server encrypts the digital asset information entered by the user via the SSL / TLS protocol and receives it securely. The server also stores this information in a database using enhanced encryption methods and provides access based on the user's biometric authentication. This approach ensures the security of digital assets, allowing users to use the system with peace of mind.

[0669] As a concrete example, a user registers their social network accounts and cloud storage information in the system. The generative AI model analyzes this data, automatically detects duplicate entries, and notifies the user. As a result, data optimization is performed. Furthermore, it becomes possible to transfer information to a specified person based on conditions set by the user in advance. In addition, the use of the generative AI model is demonstrated using an example prompt such as, "Based on the user's registered data, please suggest a way to remove fraudulent or duplicate data."

[0670] In this way, the present invention enables the efficient and secure management of users' digital assets and their smooth transfer when necessary.

[0671] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0672] Step 1:

[0673] Users input digital asset information using a terminal and transmit the information via the system interface. Input data includes account name, password, and associated digital content. The terminal encrypts the entered information using the SSL / TLS protocol for secure transmission.

[0674] Step 2:

[0675] The server receives encrypted data sent from the terminal. It then transforms the received data using a more robust encryption method and stores it in a secure database. The input is SSL / TLS encrypted information, and the output is data encrypted on the server.

[0676] Step 3:

[0677] The server periodically uses a generative AI model to analyze digital asset information in the database. Here, fraudulent or duplicate data is identified; the input is existing data in the database, and the output is a list of fraudulent or duplicate entries. Based on these results, the server notifies the user.

[0678] Step 4:

[0679] The user corrects the data using their device based on the notification. The newly corrected data is resubmitted and reflected in the database using the same process as in steps 1 and 2. The input here is the digital asset information corrected by the user, and the output is the updated database.

[0680] Step 5:

[0681] Users obtain secure access to the system through biometric authentication. The device acquires biometric data, such as fingerprints or facial recognition, as input, and access to the server is granted only after passing the authentication process. The output indicates authenticated access rights.

[0682] Step 6:

[0683] The server manages the transfer of digital asset information to a specific person based on the access permissions specified by the user. If the specified conditions are met, the server sends appropriate authentication information to the recipient. The output includes the required authentication information and access authorization.

[0684] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0685] The digital heritage management system according to the present invention enables more appropriate information management and access provision by combining an emotion engine that recognizes the emotions of users. In addition to the basic functions of receiving, encrypting, and storing digital asset information from users, the system has a function of analyzing the emotional state of users using the emotion engine.

[0686] First, the user registers digital asset information via a terminal and accesses the system. In this process, the user's operation data and interaction history are sent to the server, and the emotion engine analyzes the data. The analyzed emotion data is considered when the user organizes information or receives a report on specific information.

[0687] Based on the recognized emotional state, the server adjusts the presentation method and organization content of the digital asset information. For example, if it is analyzed that the user is feeling stressed, the system reduces the frequency of information organization or simplifies the report content to reduce the burden on the user.

[0688] Also, the user optimizes the timing and settings of information disclosure while referring to the feedback from the emotion engine. When the user is not emotionally stable, it is possible to automatically suspend or review the access settings of the asset information.

[0689] As a specific example, consider the case where the user registers the login information of the SNS in the system. If the emotion engine detects tension from the user's operation at the time of input, the server flexibly changes the confirmation process of the digital asset information and sends a notification again at a later date. In this way, more appropriate information management for the user can be performed. [[ID=第十七条]] [[ID=第十八条]]

[0690] [[ID=第十九条]] With these functions, the present system realizes effective and user-friendly management and inheritance of digital asset information.

[0691] The following describes the processing flow.

[0692] Step 1:

[0693] The user accesses the digital legacy management system using a terminal and enters the necessary digital asset information. At this time, the terminal collects data such as operation logs, input speed, and keystroke patterns, and transmits it to the server.

[0694] Step 2:

[0695] The server provides the input data to the emotion engine in order to analyze the received data. The emotion engine estimates the user's emotional state based on the collected operation logs and returns the result to the server.

[0696] Step 3:

[0697] Based on the emotion data obtained from the emotion engine, the server adjusts the presentation method and organization method of the digital asset information. For example, if the user is judged to be in a stressed state, the notification of information organization is temporarily withheld or the content is made concise.

[0698] Step 4:

[0699] The user receives the information adjusted based on the judgment of the emotion engine on the terminal. Furthermore, the user sets or adjusts the timing of information disclosure and access rights in consideration of the emotion feedback.

[0700] Step 5:

[0701] The server saves the access rights and timing set by the user in the database. The settings are prepared to be updated in a timely manner according to changes in the user's emotional state.

[0702] Step 6:

[0703] When the death of the user is confirmed, the server verifies the information through an external database or a report from the family members and executes an authentication process for a specific person.

[0704] Step 7:

[0705] Using a terminal, bereaved family members access the system based on authentication information provided by the server. After successful authentication, bereaved family members can view and manage digital asset information that has been adjusted to take their emotional state into consideration.

[0706] (Example 2)

[0707] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0708] In modern times, advancements in information technology have led to a significant increase in personal information assets. However, managing and transferring this information presents challenges such as emotional burdens on users and inappropriate information organization. In particular, when handling digital information, users are not always in a state of emotional stability, requiring feedback and adjustments to information organization tailored to their individual circumstances. There is a need for systems that can address these situations.

[0709] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0710] In this invention, the server includes means for receiving information from a user, securely processing the information, and storing it in a memory device; means equipped with an emotion determination engine for analyzing the received information and evaluating the user's emotional state; and means for adjusting the information organization method based on the emotional state and providing appropriate notifications to the user. This enables appropriate information management and reduced burden according to the user's emotional state.

[0711] A "user" is an individual or organization that inputs and manages information assets.

[0712] "Information" is a general term for data and access information stored in digital format.

[0713] "Secure processing" means using appropriate measures to protect information from unauthorized access and data breaches.

[0714] "Storage device" is a general term for digital data storage media used to store and manage information.

[0715] An "emotion determination engine" is a program or device that performs data analysis and processing to evaluate a user's emotional state.

[0716] "Information organization" is the act of classifying, arranging, or displaying received information based on specific criteria.

[0717] "Appropriate notification" refers to a means of communication that informs users of the status and changes of information in an easy-to-understand manner.

[0718] This invention presents a system configuration that allows users to manage information safely and efficiently, and to optimize data processing while taking their emotional state into consideration.

[0719] The system provides an interface for users to input personal information. Users transmit information to a digital platform using their devices. This information includes personal online account information and financial data. These devices may include, for example, personal computers or smartphones.

[0720] Once information is entered, the terminal sends it to the server. The server first applies an encryption algorithm to securely process the received information and records it in a storage device. In this process, the server can use data protection technology such as AES (Advanced Encryption Standard).

[0721] Next, the server analyzes the user's emotional state using an emotion assessment engine. This emotion assessment engine could be, for example, a software platform that provides natural language processing technology. The emotion assessment engine generates an emotion score from the user's operation data and input information.

[0722] Based on the generated sentiment score, the server adjusts how information is organized and the content of notifications sent to the user. For example, if the server determines that the user is stressed, it can simplify the notification content to reduce the user's burden.

[0723] Furthermore, the server provides feedback to the user, helping to understand their emotional state. This feedback is sent via email and in-app notifications.

[0724] A specific example of its use is when a user enters their social media login information; if the emotion detection engine detects a state of tension, the server can delay processing that information. This allows notifications to be sent to the user at a more appropriate time.

[0725] An example of a prompt message is, "Please describe the specific actions the server should take if tension is detected while the user is entering information."

[0726] Thus, the present invention enables safe and less burdensome information management for users.

[0727] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0728] Step 1:

[0729] Users input digital information using a device. This input includes personal online account information and financial data. Users enter information into a form via a dedicated application or web page and press the submit button. The entered data is sent from the device to the server.

[0730] Step 2:

[0731] The server securely processes the received information. Specifically, it processes the transmitted data using an encryption algorithm and stores it in a protected state in storage. The input received is the user's digital information, and the output is encrypted data. For example, the encryption method used is AES (Advanced Encryption Standard).

[0732] Step 3:

[0733] The server analyzes the user's emotional state using an emotion detection engine. For data analysis, the server passes the user's input data and operation history to the emotion detection engine. The input is the user's operation data, and the output is the user's emotion score. The emotion score is calculated using an algorithm employing natural language processing techniques.

[0734] Step 4:

[0735] The server adjusts the information organization method based on the analysis results. Specifically, it changes the frequency of information organization and the content of reports according to the user's emotion score. The input is the emotion score, and the output is the adjusted information processing guidelines. For example, if tension is detected, the notification content is simplified to reduce stress caused by information overload.

[0736] Step 5:

[0737] The server provides feedback to the user. This feedback is sent via email or in-app notifications and provides users with information to manage and change settings according to their emotional state. The input is a guideline for adjusted information processing, and the output is a notification to the user. Specifically, this includes information about future access restrictions.

[0738] Step 6:

[0739] Users optimize their information access settings based on the feedback they submit. They review notifications and, taking sentiment-based suggestions into account, reconsider when and how they access information. Specifically, they click the link in the notification to open the settings screen and adjust information access rights and notification frequency as needed.

[0740] (Application Example 2)

[0741] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0742] In the modern era, managing digital heritage and improving the user experience associated with it are crucial, but information organization and access methods that consider user emotions are often lacking. As a result, users frequently experience emotional burden. Furthermore, even in the appropriate selection and presentation of digital content, there is a lack of dynamic adjustments that take into account individual emotional states.

[0743] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0744] In this invention, the server includes means for recognizing the user's emotional state and adjusting the method of presenting digital asset information based on this recognition result; means for dynamically selecting and displaying digital content using the user's emotional state; and means for an emotion engine to generate feedback by analyzing the user's operation data and dialogue history. This enables flexible and appropriate management and display of digital heritage in accordance with the user's emotions.

[0745] A "user" is an individual who manages digital asset information and performs operations and interactions with the system.

[0746] "Digital asset information" refers to all digital data and information owned by a user, including photos, videos, login information, etc.

[0747] "Encryption" refers to the process of converting digital asset information into a format that cannot be read by third parties, and is carried out to enhance its security.

[0748] An "emotion engine" is a software component that analyzes user operation data and dialogue history to determine their emotional state at that time.

[0749] "Adjusting the presentation method" means optimizing the order and method of displaying information on the screen based on the user's perceived emotional state.

[0750] "Dynamic selection and display" refers to a process that automatically selects and visually presents appropriate content based on the user's real-time emotions.

[0751] "Operation data" refers to the history of inputs and selections generated during the user's use of the system.

[0752] "Dialogue history" refers to a record of a series of communications a user has with the system, and based on this, an individual's emotions and intentions can be inferred.

[0753] "Feedback" refers to information provided to users based on the results of analysis by the emotion engine, and is used to improve the organization and display methods of digital asset information.

[0754] The system implementing this invention effectively manages users' digital asset information and provides information tailored to the user's emotional state. The system's program is primarily composed of an emotion recognition engine using Python and TensorFlow.

[0755] The server first encrypts the digital asset information received from the user's terminal and securely stores it in a database. Advanced encryption algorithms are used to ensure the security of the digital assets.

[0756] Subsequently, the system monitors operation data and dialogue history in real time, and the emotion engine analyzes the user's current emotional state. This analysis uses data from emotion sensors and cameras as input. Based on the collected data, the server detects changes in emotion and adjusts the way information is presented to reduce the user's burden.

[0757] For example, if the user is relaxed, photos and videos of memories can be displayed in a soft tone. Conversely, if the user is stressed, the frequency of information provided can be reduced, and it can be presented in a more concise format.

[0758] Furthermore, the server dynamically selects digital content based on the user's emotional state. It uses a generation AI model to select content appropriate for a specific emotional state and presents it to the user at the right time. This process is continuously adjusted based on emotional feedback.

[0759] For example, if the family is relaxed after dinner, the system will project photos related to the day's memories, encouraging family conversation. This feature is expected to facilitate smoother communication within the family.

[0760] An example of a prompt is, "Imagine a natural user experience where Emory acquires facial recognition data and performs real-time sentiment analysis." This prompt clarifies how the system provides emotion-based services.

[0761] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0762] Step 1:

[0763] The server receives digital asset information from the user's terminal. The received digital asset information is securely stored in the database after applying an encryption algorithm. In this step, the raw input data is output as encrypted data.

[0764] Step 2:

[0765] The user's device sends operation data and dialogue history to the emotion engine. The emotion engine uses TensorFlow to analyze this data and detect the emotional state. The input to this step is the user's operation data and dialogue history, and the output is the identification result of the user's emotional state.

[0766] Step 3:

[0767] The server adjusts how information is presented based on the analyzed emotional state. For example, if the user is in a specific emotional state (e.g., stress), it simplifies the information presentation. The input is the identified emotional state, and the output is the adjusted information presentation format.

[0768] Step 4:

[0769] The server uses a generating AI model to select digital content appropriate to the user's emotional state. This model generates content based on prompts that identify the optimal content, using past training data. The input is the emotional state and the generating AI's prompts, and the output is the selected digital content.

[0770] Step 5:

[0771] Users view selected digital content via their devices. The server collects user feedback and uses it to improve future presentation methods. The inputs to this step are the selected digital content and user feedback, and the output is the optimization of the service based on that feedback.

[0772] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0773] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0774] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0775] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0776] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0777] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0778] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0779] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0780] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0781] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0782] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0783] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0784] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0785] 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.

[0786] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0787] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0788] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0789] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0790] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0791] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0792] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0793] The following is further disclosed regarding the embodiments described above.

[0794] (Claim 1)

[0795] A means of receiving digital asset information from users, encrypting that information, and storing it in a database,

[0796] A means of periodically organizing received digital asset information and reporting duplicate or invalid information to the user,

[0797] A means of disclosing digital asset information to a specific person based on the timing and conditions specified by the user,

[0798] When a user's death is confirmed, there are means to verify the information through external databases and declarations,

[0799] A means of granting access to digital asset information to specific individuals who have passed the authentication process,

[0800] A system that includes this.

[0801] (Claim 2)

[0802] The system according to claim 1, wherein the encryption means processes digital asset information using a predetermined encryption algorithm.

[0803] (Claim 3)

[0804] The system according to claim 1, which uses artificial intelligence to analyze digital asset information in a periodic inventory management method.

[0805] "Example 1"

[0806] (Claim 1)

[0807] A means of receiving information from a client, encrypting that information, and storing it in a storage device,

[0808] A means of periodically analyzing the received information and reporting duplicate or invalid data to the client,

[0809] A means of providing information to specific parties based on conditions specified by the client,

[0810] When the client's status is confirmed, there are means to verify the data through external sources and declarations,

[0811] A means of granting access to information to specific authorized parties,

[0812] A system that includes this.

[0813] (Claim 2)

[0814] The system according to claim 1, wherein the encryption means processes information using a predetermined encryption method.

[0815] (Claim 3)

[0816] The system according to claim 1, wherein the analysis means processes information using a generative model.

[0817] "Application Example 1"

[0818] (Claim 1)

[0819] A means of receiving digital asset information from a user, encrypting the information, and storing it on a storage medium,

[0820] A means of periodically organizing received digital asset information and reporting duplicate or invalid information to the user,

[0821] A means of providing secure access to the system using user biometric authentication,

[0822] A means of disclosing digital asset information to a specific person based on the timing and conditions specified by the user,

[0823] When a user's death is confirmed, there are means to verify the information through external sources and reports,

[0824] A means of granting access to digital asset information to specific individuals who have passed the authentication process,

[0825] A means of identifying fraudulent or duplicate data using a generative AI model,

[0826] A system that includes this.

[0827] (Claim 2)

[0828] The system according to claim 1, which processes digital asset information using a predetermined encryption algorithm.

[0829] (Claim 3)

[0830] The system according to claim 1, which uses artificial intelligence to analyze digital asset information.

[0831] "Example 2 of combining an emotion engine"

[0832] (Claim 1)

[0833] A means of receiving information from a user, securely processing that information, and storing it in a storage device,

[0834] A means equipped with an emotion determination engine for analyzing received information and evaluating the user's emotional state,

[0835] A means of adjusting the method of organizing information based on emotional state and providing appropriate notifications to the user,

[0836] A means of providing information to a predetermined target according to the time and conditions specified by the user,

[0837] When checking the user's status, a means of verifying information using external sources,

[0838] A means of granting access rights to information to authenticated individuals,

[0839] A system that includes this.

[0840] (Claim 2)

[0841] The system according to claim 1, having means for protecting information in a predetermined manner.

[0842] (Claim 3)

[0843] The system according to claim 1, wherein the analytical means uses an intelligent system to evaluate digital information.

[0844] "Application example 2 when combining with an emotional engine"

[0845] (Claim 1)

[0846] A means of receiving digital asset information from users, encrypting that information, and storing it in a database,

[0847] A means of periodically organizing received digital asset information and reporting duplicate or invalid information to the user,

[0848] A means of disclosing digital asset information to a specific person based on the timing and conditions specified by the user,

[0849] A means for recognizing the user's emotional state and adjusting the method of presenting digital asset information based on this recognition result,

[0850] A means of dynamically selecting and displaying digital content using the user's emotional state,

[0851] A means by which the emotion engine generates feedback by analyzing user operation data and dialogue history,

[0852] A means of granting access to digital asset information to specific individuals who have passed the authentication process,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, wherein the encryption means processes digital asset information using a predetermined encryption algorithm.

[0856] (Claim 3)

[0857] The system according to claim 1, which uses artificial intelligence to analyze digital asset information in a periodic inventory management method. [Explanation of Symbols]

[0858] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving digital asset information from a user, encrypting the information, and storing it on a storage medium, A means of periodically organizing received digital asset information and reporting duplicate or invalid information to the user, A means of providing secure access to the system using user biometric authentication, A means of disclosing digital asset information to a specific person based on the timing and conditions specified by the user, When a user's death is confirmed, there are means to verify the information through external sources and reports, A means of granting access to digital asset information to specific individuals who have passed the authentication process, A means of identifying fraudulent or duplicate data using a generative AI model, A system that includes this.

2. The system according to claim 1, which processes digital asset information using a predetermined encryption algorithm.

3. The system according to claim 1, which uses artificial intelligence to analyze digital asset information.

Images