system

Abstract

We provide the system. [Solution] Means of registering personal information, A means of encrypting and storing registered information, Methods for organizing data using artificial intelligence, A means of granting access rights to a designated beneficiary based on the death of a user, A means of regularly checking the status of data and subscriptions, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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] In modern times, an individual's digital assets and online account information have become part of important property. However, when an individual dies suddenly due to an accident or illness, there is a problem that it is difficult to safely and appropriately transfer such information to family members or designated heirs. There is also a risk that heirs may not be able to access important information due to unauthorized access to digital information, data loss, or lack of proper management. The development of a system for solving such problems is demanded.

Means for Solving the Problems

[0005] This invention provides a system for efficiently and securely managing information by securely storing information registered by individuals in advance and periodically organizing that data using artificial intelligence. Specifically, it provides a means for encrypting and storing individual registration information, and keeps it up-to-date by organizing the data using artificial intelligence. Furthermore, if the death of a user is confirmed, access rights are granted to a designated recipient using a secure authentication method. This system makes it possible to safely transfer necessary information to bereaved families while maintaining a high level of security.

[0006] "Personal information" refers to identifiable information relating to a specific individual, including name, contact information, account information, and related digital asset information.

[0007] "Methods of encryption and storage" refer to technical methods for converting digital information into a form that cannot be deciphered by third parties and storing it securely.

[0008] "Artificial intelligence" refers to a program or system that utilizes machine learning and data analysis to perform complex data processing and decision-making without human intervention.

[0009] "Means of organizing data" refers to a function that performs processing to keep data in a state that is efficiently manageable and searchable by classifying it based on certain criteria and removing unnecessary information.

[0010] "Designated recipient" refers to a person or entity predetermined by the information controller to be authorized to receive specific information after their death.

[0011] "Means of granting access rights" refers to the procedures for granting a specific person or system permission to view, manage, or use specific information or data.

[0012] A "security policy" is a set of rules and guidelines established to ensure the security of data within an information system, and includes specific measures to prevent information leaks and unauthorized access.

[0013] "Authentication methods" are techniques used to verify that the recipient has legitimate rights when receiving information, and can include passwords, biometrics, tokens, and other methods. [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]It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

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

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

[0017] In the following embodiments, the 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), and the like.

[0018] In the following embodiments, the 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, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[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 input / output process is performed by the processor 46. The storage 50 stores an input / output program 60. The input / output program 60 is used in combination with a specific processing program 56 by the data processing system 10. The processor 46 reads the input / output program 60 from the storage 50 and executes the read input / output program 60 on the RAM 48. The input / output process is realized by operating as a control unit 46A according to the input / output program 60 executed by the processor 46 on the RAM 48.

[0034] 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 device 14 is referred to as a "terminal".

[0035] The digital legacy management system of the present invention can safely manage personal digital assets and account information and appropriately transfer them to the family members when needed. The following is a specific form for implementing this invention.

[0036] Registration and encrypted storage

[0037] The user accesses the system using the terminal and provides personal information and digital asset information. This information is transmitted to the server using advanced encryption technology. The server stores this information in the database and applies encryption to ensure security. The user can register information through file uploads or text input.

[0038] Data arrangement by artificial intelligence

[0039] The system utilizes artificial intelligence on the server to regularly organize the stored information. The AI classifies the data into categories and deletes duplicate and old data to keep the information always up-to-date and valid. This process enables the necessary information to be quickly found.

[0040] Access rights settings and management

[0041] Users can access their device to configure access rights for family members and designated beneficiaries. Specifically, they can specify in detail who can access which data upon their death. The server manages this information and prepares to securely grant access rights to beneficiaries as needed.

[0042] Information provided upon death

[0043] If a user's death is confirmed, the server will provide authentication information to the designated recipient according to pre-configured conditions. The recipient will then be able to access the system from their device using the received authentication information and access digital assets and account information. This allows surviving family members to quickly and securely access the necessary information.

[0044] Subscription and renewal process

[0045] The server constantly monitors the user's subscription status and manages payment renewals and status changes. When it's time for contract renewal, the server sends a notification to the device to help the user decide whether to continue using the service. Furthermore, if automatic renewal is permitted, the server ensures continued use through appropriate procedures.

[0046] As described above, the present invention provides multi-layered processing and functions for the safe and efficient management of a user's digital legacy, enabling smooth information provision to bereaved families.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] Users access the system using their devices and register information about their digital assets. Users enter data such as their name, contact information, important account information, and associated passwords, and then submit the registration form.

[0050] Step 2:

[0051] Information sent from the terminal is received by the server. The server encrypts the received information using an advanced encryption algorithm and securely stores it in a database.

[0052] Step 3:

[0053] The server periodically uses artificial intelligence to organize stored data. The AI ​​analyzes the information, categorizes it, and detects and removes duplicate and outdated data. This ensures that the data is always up-to-date.

[0054] Step 4:

[0055] The user uses their device to set access rights for surviving family members and designated beneficiaries. The user specifies which data to disclose to each beneficiary and under what conditions, and sends this information to the server.

[0056] Step 5:

[0057] If a user's death is confirmed by a third party, the server will prepare to provide access information to a designated recipient based on the system's settings.

[0058] Step 6:

[0059] The recipient accesses the system using a device and logs in using authentication information sent from the server. This allows the recipient to access specific digital assets and information.

[0060] Step 7:

[0061] The server manages user subscriptions and periodically checks payment and renewal information. The server also sends notifications to users when renewal is approaching, prompting them to take the necessary steps.

[0062] (Example 1)

[0063] 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."

[0064] With the advancement of information technology, it has become common for individuals to possess various digital assets and online accounts. However, this information is often not properly transferred to surviving family members after the owner's death, leading to additional burdens and security risks. Furthermore, given the vastness and complexity of this information, there is a need for a system that can efficiently manage it and provide it quickly and securely when needed.

[0065] 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.

[0066] In this invention, the server includes means for acquiring personal information, means for encrypting the acquired information and transmitting it to a central processing unit, and means for storing the encrypted information in a data storage device. This ensures that personal digital assets are securely stored and that necessary information can be quickly and securely transferred to surviving family members even after the owner's death.

[0067] "Means of acquiring personal information" refers to a process in which users can provide their own identification information and digital assets through a data entry device.

[0068] "Means of encrypting and transmitting to a central processing unit" refers to a function that encrypts acquired information using security technology and securely transmits it to the main control unit for information processing.

[0069] "Means for storing encrypted information in a data storage device" refers to the ability to store encrypted data received from a central processing unit on a storage medium and prevent unauthorized access by third parties.

[0070] "Means for analyzing and classifying stored information using artificial intelligence" refers to applied technologies that analyze stored information based on data processing techniques, and organize it into related fields.

[0071] "Means of setting information access permissions for designated parties" refers to implementation technology for granting access rights to necessary information to recipients determined by user settings.

[0072] "Means for periodically checking and updating information and usage" refers to control functions that review the status of stored digital data and access rights at regular intervals and keep them up-to-date.

[0073] This invention is a system aimed at securely and efficiently managing individuals' digital assets and account information, and ensuring their proper transfer to surviving family members. This system primarily achieves this goal using terminals, servers, and artificial intelligence models.

[0074] First, the user accesses a dedicated application or web interface using their device and enters personal information and information about their digital assets. This information is protected using advanced encryption technology (e.g., AES-256) and transmitted from the device to the server.

[0075] The server securely stores the received encrypted information in a database. A database management system (DBMS) is used in the database to maintain accurate data structure and ensure security. In addition, the server regularly creates backups of the data and stores them in secure external storage.

[0076] Furthermore, the server utilizes generative AI models, particularly those with natural language processing capabilities (e.g., BERT), to analyze and organize the stored data. This process categorizes the data and automatically removes unnecessary data, allowing users to quickly find the information they are looking for.

[0077] Users can set access rights for pre-designated recipients. The server stores this configuration information in a separate encrypted database and prepares to provide authentication information to the designated recipients according to the specified conditions upon the user's death.

[0078] This system also manages infrastructure usage and contract status. The server constantly monitors the user's subscription status and sends notifications to the device when the renewal period approaches, supporting the user's continued use of the service.

[0079] For example, if a user wants to pass on their Google® account password to their mother, this can be achieved by configuring the system using their device. An example of a prompt message might be, "I want to pass on my Google account password to my mother if I die in an accident. How can I set this up?"

[0080] This streamlines the management of users' digital assets, ensuring that necessary information is properly transferred even after death.

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] The user logs in to the digital legacy management system using a terminal. The user inputs personal information and digital asset information. This includes digital data such as login information, memos, and files. This input data is encrypted using AES-256 encryption technology on the terminal. This encrypted data becomes the transmission output to the server.

[0084] Step 2:

[0085] The server receives the encrypted data sent from the terminal. The server uses a database management system (DBMS) to store the encrypted data in the database. The data is placed in a secure storage as it is, and a backup process is carried out. The input is the encrypted data, and the output is the stored database entry.

[0086] Step 3:

[0087] The server regularly uses a generated AI model (e.g., BERT) for data sorting. The server analyzes the stored data and performs classification for each category. Through the analysis, data duplication is detected, and past information is deleted. The input for this process is the stored data, and the output is the updated database structure.

[0088] Step 4:

[0089] The user sets access rights to the server from the terminal. The user inputs the specified recipient and access range into the system, encrypts the information, and transmits it. The server stores this information in another encrypted database. The input for this process is the access right information, and the output is the set database entry.

[0090] Step 5:

[0091] When an external organization notifies the user of their death, the server provides authentication information to the relevant parties based on pre-configured conditions. The recipient enters this authentication information using a terminal to access the system. The server receives this information and grants access to the digital assets. The input for this step is the death confirmation and the recipient's authentication information, and the output is the removal of access rights.

[0092] Step 6:

[0093] The server continuously manages the subscription status. When the contract renewal date approaches, the server sends a notification to the user's device. If the user checks the notification on their device and expresses their intention to continue using the service, the server performs the renewal process. The input to this process is the contract expiration information, and the output is the renewed subscription status.

[0094] (Application Example 1)

[0095] 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."

[0096] In modern society, the amount of digital assets individuals possess is increasing, making their organization and management increasingly complex. Furthermore, properly transferring digital assets to family members after the user's death presents a significant challenge. Additionally, there is a need to ensure the security of these assets while providing quick access when needed. Traditional systems have struggled to address these multiple challenges in a unified manner.

[0097] 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.

[0098] In this invention, the server includes means for collecting personal information, means for encrypting and storing the collected information, and means for organizing the data using machine learning techniques. This makes it possible to securely manage digital assets and to quickly transfer them to surviving family members after the user's death.

[0099] "Means of collecting personal information" refers to devices or software that include functions for transmitting digital assets or personal information from users to a server.

[0100] "Means of encryption and storage" refers to a device or software that includes the function of applying encryption technology to securely store collected information in a database.

[0101] "Means of organizing data using machine learning technology" refers to a device or software that includes the function of using machine learning algorithms to analyze data stored on a server and classify and optimize it by category.

[0102] "Means of granting access rights to a designated recipient based on the user's death status" refers to a device or software that includes a function to securely grant access to data to a designated person when the user's death is confirmed, based on pre-set conditions.

[0103] "Means for periodically monitoring subscription status" refers to a device or software that includes functions to monitor the user's service usage contract status and to perform updates or notifications as necessary.

[0104] "Means for transmitting data to a management device in real time via a communication network" refers to software including communication devices and protocols that enable real-time data transmission to data centers and management devices.

[0105] This system is designed to securely and efficiently manage individuals' digital assets. It is achieved through the interaction of servers, terminals, and users.

[0106] First, the terminal is provided with an interface for collecting user information, allowing users to easily register their digital assets and personal information. This information is transmitted to the server in real time. As soon as the server receives the information, it securely stores the data using advanced encryption technology (e.g., AES encryption).

[0107] The server uses machine learning techniques to periodically organize the accumulated information. In this process, data is classified into categories, and unnecessary information is removed. Specifically, generative AI models such as TENSORFLOW® are used to classify and optimize the data.

[0108] Furthermore, the server has a feature that grants access to designated recipients according to pre-configured conditions upon the death of a user. This is achieved using a secure authentication protocol, allowing surviving family members to quickly and safely access important information.

[0109] Furthermore, the server periodically monitors the subscription status and has a function to send notifications to the user's device if renewal is required. These notifications are sent as push notifications to enhance user convenience.

[0110] For example, if a user registers a photo album as a digital asset, the server encrypts and stores the data, classifying it as "Memories." Subsequently, it securely grants access rights to the user's family members as needed.

[0111] An example of a prompt message would be, "Explain how to set access rights and securely manage the user's digital legacy stored in the data center." This allows the system to implement optimal management tailored to the user's needs.

[0112] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0113] Step 1:

[0114] Users register digital assets via their devices. The devices receive text data and file-based data as input and send it to the server. The devices ensure data security by encrypting the data using network protocols and transmitting it through a secure channel.

[0115] Step 2:

[0116] The server stores the received data in a database using advanced encryption algorithms. The output is stored in a secure format with access restrictions. The server processes the data using AES encryption and other methods to prevent unauthorized access.

[0117] Step 3:

[0118] The server uses a generative AI model to organize the data. Unorganized data from the database is passed as input, and the AI ​​model performs categorization and deduplication of the data. The output is the organized data, categorized and stored again in the database. Frameworks such as TensorFlow are used to create an efficient data structure.

[0119] Step 4:

[0120] When a user's death is confirmed, the server provides authentication information to a pre-configured recipient and grants access rights. The input is the death confirmation information, and the output is the granting of access rights to the recipient. This is performed securely through a two-factor authentication protocol.

[0121] Step 5:

[0122] The server periodically monitors the status of subscriptions and sends push notifications to user terminals if an update is necessary. The input is subscription data, and notification information is sent to the user's terminal as output. The server manages the timing of monitoring based on a time schedule.

[0123] 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.

[0124] The digital legacy management system in the present invention provides a function of safely managing an individual's digital assets and transferring them to the family when needed. In addition, by incorporating an emotion engine that analyzes the user's emotions and dynamically optimizes data management and display, more personalized digital asset management is realized.

[0125] Utilization of the Emotion Engine

[0126] As a central element of this system, an emotion engine is used. The emotion engine can infer the user's emotional state from the data input by the user through the terminal, the operation history, and further biometric signals. For example, when the user is feeling stressed, the system detects this with the emotion engine and reduces the user's burden by simplifying the data display or prioritizing and listing necessary tasks.

[0127] Registration and Encrypted Storage of Information

[0128] The user registers personal information and digital asset information in the system through the terminal. These pieces of information are securely encrypted and stored on the server. If the emotion engine senses the user's anxiety during the input of registration information, an operation support screen is displayed to smoothly progress the registration process.

[0129] Data Sorting and Authentication by Artificial Intelligence <00​ The artificial intelligence on the server periodically organizes registered data, categorizes it by relevance, and removes unnecessary information. During this process, the emotion engine adjusts the data organization algorithm according to the user's psychological state, maintaining the user's desired state. Furthermore, upon confirmation of a user's death, the server provides authentication information to the designated recipient in an emotionally appropriate manner, facilitating smooth access.

[0131] Subscription and renewal

[0132] The server periodically checks the user's subscription status and sends a notification via the device if renewal is required. The emotion engine determines the user's most receptive emotional state at the time of notification and sends the notification using appropriate language.

[0133] For example, if a user shows confusion during an ongoing procedure, the emotion engine detects this and displays a guided, step-by-step explanation on the device, ensuring the user can proceed smoothly. By incorporating the emotion engine, this system can provide a more user-friendly digital legacy management service.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] Users access the system using their devices and register basic data for digital legacy and emotion analysis. As users enter personal information, account information, and desired management policies, the emotion engine analyzes biosensors and input patterns to infer the user's emotional state.

[0137] Step 2:

[0138] Information received from the device is encrypted and securely stored by the server. At this time, based on the analysis results of the emotion engine, if the server determines that the user is experiencing anxiety or confusion, it instructs the device to provide navigation with a simple and easy-to-understand UI.

[0139] Step 3:

[0140] The server periodically organizes data using artificial intelligence. Leveraging feedback from an emotion engine, it adjusts the data organization method and display content according to the user's psychological state, enabling users to quickly access the information they need. Simultaneously, outdated and unnecessary data is deleted.

[0141] Step 4:

[0142] During the process of setting access permissions specified by the user through their device, the emotion engine detects the user's psychological state. If the user is in a state requiring caution, the server will follow its instructions, displaying an additional confirmation screen and prompting the user to reconfirm the settings.

[0143] Step 5:

[0144] Once a user's death is reported and confirmed by a third party, the server uses an emotion engine to analyze how to best present the information to the recipient in a way that is most acceptable. Authentication credentials are prepared and delivered to the recipient's device in a seamless and pleasant manner.

[0145] Step 6:

[0146] The server periodically checks the user's subscription status and, if renewal is required, sends a notification that takes the user's emotional state into consideration. The emotion engine sends the notification at a time when the user is least likely to experience stress, facilitating the renewal process.

[0147] (Example 2)

[0148] 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 will be referred to as the "terminal."

[0149] In modern society, as the amount of digital data an individual possesses increases, there is a need to securely manage this data and smoothly transfer it to surviving family members. However, conventional systems have a uniform approach to data management and lack the flexibility to respond to the individual emotional states of users. Furthermore, they have not achieved optimization of data manipulation and notifications that take into account the psychological state of the user, resulting in insufficient support for users who are experiencing stress.

[0150] 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.

[0151] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for using machine learning algorithms to organize the data, means for analyzing biometric information and user behavior to infer emotions, and means for optimizing the display and manipulation of data based on emotional information. This enables individually optimized data management and stress reduction support tailored to the user's emotions.

[0152] "Personal data" refers to information generated and owned by an individual that relates to the individual's identification, assets, or activities.

[0153] Encryption is the process of transforming data using a specific algorithm to make it unreadable by unauthorized third parties.

[0154] A "machine learning algorithm" is a computational method that can automatically improve accuracy by analyzing large amounts of data and learning patterns and rules in that data.

[0155] "Biometric information" refers to data obtained from an individual's body, including information such as heart rate, skin potential, and body temperature.

[0156] "User behavior" refers to data that shows a series of actions and intentions of a user while using a system.

[0157] "Emotional information" refers to information about a user's psychological state, inferred from the user's physiological and behavioral data.

[0158] A "recipient" is a person or organization designated to receive data or information from a user through the system.

[0159] "Methods of identity verification" refer to methods or procedures used to verify the identity of the recipient when providing information.

[0160] This invention provides a system for securely managing personal information and digital assets and, if necessary, transferring them to surviving family members. The system operates within a digital environment that includes terminals, servers, and an emotion engine. This section explains how each component works together.

[0161] System Configuration

[0162] Users access the system through their own devices and input personal and digital asset information. The device has the function of verifying the entered information before sending it to the server. The device also records the user's operation history and biometric signals (e.g., heart rate) in real time.

[0163] The server encrypts the received data using the AES-256 algorithm and securely stores it in cloud storage. The server also analyzes the data using machine learning algorithms (e.g., TensorFlow or PyTorch) to perform classification and delete unnecessary data.

[0164] The emotion engine infers emotions from the user's operation history and biometric signals, and when it detects stress or anxiety, it sends corresponding notifications to the device to support the user's actions. The emotion engine includes features that optimize data display and operation based on emotions.

[0165] Specific examples

[0166] When users register their digital assets, the terminal verifies the input data in real time and displays a warning if there are any errors. For example, if a user makes an error while entering complex financial information, the terminal will immediately display a message saying, "Please double-check this field."

[0167] Furthermore, if the emotion engine detects stress during the process, the system will display "Do you need help?" on the terminal and provide guided support regarding the process.

[0168] Example of a prompt

[0169] "What kind of support would be effective if a user experiences anxiety while registering their digital assets? Please explain how the emotion engine detects the user's emotions and provides support accordingly."

[0170] This system allows users to securely manage their digital legacy and transfer it to designated recipients in an appropriate manner. It also provides an emotionally resonant user experience, creating an environment where data can be handled without stress.

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] Users access the system through a terminal and input personal and digital asset information. This input data includes personally identifiable information and financial data. The terminal temporarily stores this data and verifies the input. Specifically, it checks the format and required fields in real time for each input item, and immediately displays a warning if the user makes a mistake. Through this process, the input data is organized into the correct format and ready to be sent to the server.

[0174] Step 2:

[0175] The device sends data that has passed verification to the server. Upon receiving the input, the server applies the AES-256 algorithm to encrypt the data. This encryption process converts the data into a secure format that cannot be accessed by others. As output, the encrypted data is stored in cloud storage. Specifically, the server performs the encryption process in real time and notifies the device when the process is complete.

[0176] Step 3:

[0177] The server periodically organizes its stored data using a machine learning algorithm. The input is the entire database stored on the server. This algorithm classifies the data, identifies and deletes unnecessary data. The output is organized data, improving the database's efficiency. Specifically, this process is executed as a periodic cleanup job, and the results are sent to the administrator as a report.

[0178] Step 4:

[0179] The device collects the user's biometric signals and operation history in real time for emotion analysis. Input data includes heart rate, mouse movement speed, and click frequency. The server analyzes this data using an emotion engine to infer the user's emotional state. The output determines the level of stress and anxiety the user is experiencing. Specifically, if stress is detected, the device provides the user with a support message such as "Do you need help?"

[0180] Step 5:

[0181] The server grants access rights to a designated recipient upon the user's death. This process involves the server, upon receiving a death notification, performing a pre-configured authentication procedure. Inputs include official documents such as a death certificate. The output is the granting of access permissions to the recipient. Specifically, the server provides access information to the designated recipient through secure authentication, enabling access to the digital legacy.

[0182] (Application Example 2)

[0183] 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".

[0184] In modern society, as personal digital assets become more diverse and important, there is a growing need to manage them appropriately and securely, and to smoothly transfer them to family members when necessary. However, conventional systems lack consideration for the emotional burden on users, and their technical complexity makes smooth asset management and transfer difficult.

[0185] 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.

[0186] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for organizing the information using machine learning, means for granting access rights to a designated recipient based on the user's death, means for periodically checking the information and contract status, and means for analyzing the user's emotional state and dynamically optimizing the displayed content. This enables the secure and user-friendly management of personal digital assets and facilitates smooth transfer of ownership.

[0187] "Personal data" refers to personal information and digital assets that users register when using the system.

[0188] "Encrypting and storing" means using encryption technology to protect registered data from being leaked to third parties and securely storing it on a server.

[0189] "Organizing information using machine learning" refers to using machine learning, a technique of artificial intelligence, to analyze registered data, categorize it, and delete unnecessary information.

[0190] "Granting access rights to a designated recipient" means that upon the user's death, access rights to digital assets are granted to a pre-designated person, enabling the transfer of assets.

[0191] "Contract status" refers to information that indicates the progress of subscriptions and contracts related to the use of the system.

[0192] "Analyzing emotional states and dynamically optimizing displayed content" refers to predicting the user's emotions, adjusting how the system displays information according to those emotions, and optimizing the user experience.

[0193] This invention is a system for smoothly managing individuals' digital assets and transferring them to appropriate recipients as needed. The system primarily operates using a server and user terminals.

[0194] The server first securely stores digital assets registered by users using encryption technology. For this storage, cloud storage services such as AWS® S3 can be used. Next, the server periodically organizes the registered data using machine learning algorithms and deletes unnecessary data. This process can be implemented using programming languages ​​such as Python and machine learning libraries.

[0195] Furthermore, if the user's death is confirmed, the server will grant access to the digital assets to a pre-designated recipient. A verification process will also be implemented to ensure that the access is authenticated.

[0196] Meanwhile, the user's device analyzes the user's emotional state in real time based on data acquired from built-in sensors and input devices. For example, it uses the smartphone's camera, microphone, and biometric sensors to observe facial expressions, voice, heart rate, etc. Based on this, the interface and information displayed to the user are dynamically optimized according to their emotional state at that time. This improves the user experience.

[0197] For example, when a user uses this system to check their digital assets while on a pilgrimage to a grave, the emotion engine can display information that soothes the user's emotions.

[0198] Examples of prompts for a generative AI model:

[0199] "Please explain how the system optimizes and displays data when a user is experiencing stress."

[0200] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0201] Step 1:

[0202] The terminal receives personal data entered by the user and transforms the data using an encryption algorithm. This input includes the user's name, account information, and notes. This data is processed using encryption technologies such as AES or RSA and output as encrypted data.

[0203] Step 2:

[0204] The server receives encrypted data sent from the terminal and stores it in secure cloud storage. It takes encrypted data as input and generates a storage completion status in the cloud as output. The storage process is performed while verifying data integrity and security.

[0205] Step 3:

[0206] The server periodically organizes stored data using machine learning algorithms. The entire stored dataset is used as input. The data is categorized by the algorithm, and unnecessary data is identified and removed. The output is an organized data structure.

[0207] Step 4:

[0208] The server receives an assessment of the user's emotional state from the device and optimizes the displayed content based on that assessment. It receives input such as facial expression data, voice data, and heart rate from the device and classifies emotions using a generative AI model. It provides output that adjusts the display method of the user interface according to the emotion.

[0209] Step 5:

[0210] If the user's death is confirmed, the server grants access rights to a previously designated recipient, simulating scenarios such as visiting the grave. Here, it receives authentication information stored in the database as input, and issues access rights after a recipient authentication procedure. The output is a confirmation notification of the access rights grant.

[0211] Step 6:

[0212] The server periodically checks the contract status and notifies the user of any necessary renewals. It takes contract information and the user's subscription status as input and generates a notification message suggesting available renewal plans as output. The notification's timing and wording are optimized based on sentiment evaluation.

[0213] 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.

[0214] 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.

[0215] 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.

[0216] [Second Embodiment]

[0217] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0218] 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.

[0219] 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).

[0220] 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.

[0221] 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.

[0222] 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).

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] In the smart glasses 214, the processor 46 performs the reception and output processing. The storage 50 stores a reception and output program 60. The processor 46 reads the reception and output program 60 from the storage 50 and executes the read reception and output program 60 on the RAM 48. The reception and output processing is realized by operating as the control unit 46A according to the reception and output program 60 that the processor 46 executes on the RAM 48.

[0228] 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".

[0229] The digital legacy management system of the present invention can safely manage an individual's digital assets and account information and appropriately transfer them to the heirs when needed. The following are specific forms for implementing this invention.

[0230] Registration and encrypted storage

[0231] Users access the system using their devices and provide personal and digital asset information. This information is transmitted to the server using advanced encryption technology. The server stores this information in a database and applies encryption to ensure security. Users can register information through file uploads or text input.

[0232] Data organization using artificial intelligence

[0233] The system utilizes artificial intelligence on the server to periodically organize stored information. The AI ​​categorizes the data and removes duplicates and outdated data, ensuring that the information is always up-to-date and relevant. This process makes it possible to quickly find the information you need.

[0234] Access rights settings and management

[0235] Users can access their device to configure access rights for family members and designated beneficiaries. Specifically, they can specify in detail who can access which data upon their death. The server manages this information and prepares to securely grant access rights to beneficiaries as needed.

[0236] Information provided upon death

[0237] If a user's death is confirmed, the server will provide authentication information to the designated recipient according to pre-configured conditions. The recipient will then be able to access the system from their device using the received authentication information and access digital assets and account information. This allows surviving family members to quickly and securely access the necessary information.

[0238] Subscription and renewal process

[0239] The server constantly monitors the user's subscription status and manages payment renewals and status changes. When it's time for contract renewal, the server sends a notification to the device to help the user decide whether to continue using the service. Furthermore, if automatic renewal is permitted, the server ensures continued use through appropriate procedures.

[0240] As described above, the present invention provides multi-layered processing and functions for the safe and efficient management of a user's digital legacy, enabling smooth information provision to bereaved families.

[0241] The following describes the processing flow.

[0242] Step 1:

[0243] Users access the system using their devices and register information about their digital assets. Users enter data such as their name, contact information, important account information, and associated passwords, and then submit the registration form.

[0244] Step 2:

[0245] Information sent from the terminal is received by the server. The server encrypts the received information using an advanced encryption algorithm and securely stores it in a database.

[0246] Step 3:

[0247] The server periodically uses artificial intelligence to organize stored data. The AI ​​analyzes the information, categorizes it, and detects and removes duplicate and outdated data. This ensures that the data is always up-to-date.

[0248] Step 4:

[0249] The user uses their device to set access rights for surviving family members and designated beneficiaries. The user specifies which data to disclose to each beneficiary and under what conditions, and sends this information to the server.

[0250] Step 5:

[0251] If a user's death is confirmed by a third party, the server will prepare to provide access information to a designated recipient based on the system's settings.

[0252] Step 6:

[0253] The recipient accesses the system using a device and logs in using authentication information sent from the server. This allows the recipient to access specific digital assets and information.

[0254] Step 7:

[0255] The server manages user subscriptions and periodically checks payment and renewal information. The server also sends notifications to users when renewal is approaching, prompting them to take the necessary steps.

[0256] (Example 1)

[0257] 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."

[0258] With the advancement of information technology, it has become common for individuals to possess various digital assets and online accounts. However, this information is often not properly transferred to surviving family members after the owner's death, leading to additional burdens and security risks. Furthermore, given the vastness and complexity of this information, there is a need for a system that can efficiently manage it and provide it quickly and securely when needed.

[0259] 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.

[0260] In this invention, the server includes means for acquiring personal information, means for encrypting the acquired information and transmitting it to a central processing unit, and means for storing the encrypted information in a data storage device. This ensures that personal digital assets are securely stored and that necessary information can be quickly and securely transferred to surviving family members even after the owner's death.

[0261] "Means of acquiring personal information" refers to a process in which users can provide their own identification information and digital assets through a data entry device.

[0262] "Means of encrypting and transmitting to a central processing unit" refers to a function that encrypts acquired information using security technology and securely transmits it to the main control unit for information processing.

[0263] "Means for storing encrypted information in a data storage device" refers to the ability to store encrypted data received from a central processing unit on a storage medium and prevent unauthorized access by third parties.

[0264] "Means for analyzing and classifying stored information using artificial intelligence" refers to applied technologies that analyze stored information based on data processing techniques, and organize it into related fields.

[0265] "Means of setting information access permissions for designated parties" refers to implementation technology for granting access rights to necessary information to recipients determined by user settings.

[0266] "Means for periodically checking and updating information and usage" refers to control functions that review the status of stored digital data and access rights at regular intervals and keep them up-to-date.

[0267] This invention is a system aimed at securely and efficiently managing individuals' digital assets and account information, and ensuring their proper transfer to surviving family members. This system primarily achieves this goal using terminals, servers, and artificial intelligence models.

[0268] First, the user accesses a dedicated application or web interface using their device and enters personal information and information about their digital assets. This information is protected using advanced encryption technology (e.g., AES-256) and transmitted from the device to the server.

[0269] The server securely stores the received encrypted information in a database. A database management system (DBMS) is used in the database to maintain accurate data structure and ensure security. In addition, the server regularly creates backups of the data and stores them in secure external storage.

[0270] Furthermore, the server utilizes generative AI models, particularly those with natural language processing capabilities (e.g., BERT), to analyze and organize the stored data. This process categorizes the data and automatically removes unnecessary data, allowing users to quickly find the information they are looking for.

[0271] Users can set access rights for pre-designated recipients. The server stores this configuration information in a separate encrypted database and prepares to provide authentication information to the designated recipients according to the specified conditions upon the user's death.

[0272] This system also manages infrastructure usage and contract status. The server constantly monitors the user's subscription status and sends notifications to the device when the renewal period approaches, supporting the user's continued use of the service.

[0273] For example, if a user wants to pass on their Google account password to their mother, this can be achieved by configuring the system using their device. An example of a prompt message might be, "I want to pass on my Google account password to my mother if I die in an accident. How can I set this up?"

[0274] This rationalizes the management of the user's digital legacy and enables appropriate inheritance of necessary information even after death.

[0275] The flow of the specific process in Example 1 will be described using FIG. 11.

[0276] Step 1:

[0277] The user logs in to the digital legacy management system using a terminal. The user inputs personal information and digital asset information. This includes digital data such as login information, memos, and files. This input data is encrypted using AES-256 encryption technology on the terminal. This encrypted data becomes the transmission output to the server.

[0278] Step 2:

[0279] The server receives the encrypted data transmitted from the terminal. The server uses a database management system (DBMS) to store the encrypted data in the database. The data is placed in a secure storage as it is, and a backup process is carried out. The input is the encrypted data, and the output is the stored database entry.

[0280] Step 3:

[0281] The server periodically uses a generated AI model (e.g., BERT) for data organization. The server analyzes the stored data and performs classification for each category. Duplicates in the data are detected by the analysis, and past information is deleted. The input for this process is the stored data, and the output is the updated database structure.

[0282] Step 4:

[0283] The user sets the access rights from the terminal to the server. The user inputs the designated recipient and the access range into the system, encrypts the information, and transmits it. The server saves this information in another encrypted database. The input of this process is the access right information, and the output is the set database entry.

[0284] Step 5:

[0285] When the server is notified from an external agency of the user's death, the server provides the authentication information to the relevant parties based on pre-set conditions. The recipient inputs this authentication information using the terminal and accesses the system. The server receives this and permits access to the digital assets. The input of this step is the death confirmation and the recipient's authentication information, and the output is the revocation of the access right setting.

[0286] Step 6:

[0287] The server continues to manage the subscription status. When the contract renewal is approaching, the server sends a notification to the user's terminal. If the user checks the notification on the terminal and indicates the intention to continue using, the server performs the renewal process. The input of this process is the contract expiration information, and the output is the updated subscription status.

[0288] (Application Example 1)

[0289] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0290] In modern society, the digital assets owned by individuals are increasing, and their organization and management are becoming more complex. Also, after the user's death, it has become a difficult issue to appropriately transfer the digital assets to the heirs. Furthermore, it is also required to be able to access them quickly when necessary while ensuring the security of the assets. In the conventional system, it was difficult to solve these multiple issues comprehensively.

[0291] 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.

[0292] In this invention, the server includes means for collecting personal information, means for encrypting and storing the collected information, and means for organizing the data using machine learning techniques. This makes it possible to securely manage digital assets and to quickly transfer them to surviving family members after the user's death.

[0293] "Means of collecting personal information" refers to devices or software that include functions for transmitting digital assets or personal information from users to a server.

[0294] "Means of encryption and storage" refers to a device or software that includes the function of applying encryption technology to securely store collected information in a database.

[0295] "Means of organizing data using machine learning technology" refers to a device or software that includes the function of using machine learning algorithms to analyze data stored on a server and classify and optimize it by category.

[0296] "Means of granting access rights to a designated recipient based on the user's death status" refers to a device or software that includes a function to securely grant access to data to a designated person when the user's death is confirmed, based on pre-set conditions.

[0297] "Means for periodically monitoring subscription status" refers to a device or software that includes functions to monitor the user's service usage contract status and to perform updates or notifications as necessary.

[0298] "Means for transmitting data to a management device in real time via a communication network" refers to software including communication devices and protocols that enable real-time data transmission to data centers and management devices.

[0299] This system is designed to securely and efficiently manage individuals' digital assets. It is achieved through the interaction of servers, terminals, and users.

[0300] First, the terminal is provided with an interface for collecting user information, allowing users to easily register their digital assets and personal information. This information is transmitted to the server in real time. As soon as the server receives the information, it securely stores the data using advanced encryption technology (e.g., AES encryption).

[0301] The server uses machine learning techniques to periodically organize the accumulated information. In this process, data is classified into categories, and unnecessary information is removed. Specifically, generative AI models such as TensorFlow are used to classify and optimize the data.

[0302] Furthermore, the server has a feature that grants access to designated recipients according to pre-configured conditions upon the death of a user. This is achieved using a secure authentication protocol, allowing surviving family members to quickly and safely access important information.

[0303] Furthermore, the server periodically monitors the subscription status and has a function to send notifications to the user's device if renewal is required. These notifications are sent as push notifications to enhance user convenience.

[0304] For example, if a user registers a photo album as a digital asset, the server encrypts and stores the data, classifying it as "Memories." Subsequently, it securely grants access rights to the user's family members as needed.

[0305] As an example of a prompt sentence, it becomes "Please explain how to set the access rights to the user's digital legacy stored in the data center and manage it securely." As a result, the system can achieve optimal management according to the user's needs.

[0306] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0307] Step 1:

[0308] The user registers digital assets via the terminal. As input, it receives text data and data in file format, and transmits this to the server. The terminal encrypts the data using a network protocol and ensures the security of the data by transmitting it through a secure channel.

[0309] Step 2:

[0310] The server stores the received data in the database using an advanced encryption algorithm. As output, the data is stored in a strengthened security format and access restrictions are set. At this time, the server processes the data using encryption such as AES encryption to prevent unauthorized access.

[0311] Step 3:

[0312] The server organizes the data using a generative AI model. As input, the unorganized data on the database is passed, and the AI model performs category classification and duplicate elimination of the data. The output is re-stored in the database in a classified state for each category as organized data. An efficient data configuration is performed using a framework such as TensorFlow.

[0313] Step 4:

[0314] When the death of the user is confirmed, the server provides authentication information to a pre-set recipient and grants access rights. The input is the death confirmation information, and the output is the granting of access rights to the recipient. This is securely executed through a two-factor authentication protocol.

[0315] Step 5:

[0316] The server periodically monitors the subscription status and sends push notifications to the user terminal if an update is required. The input is the subscription data, and as output, notification information is sent to the user's terminal. The server manages the monitoring timing based on a time schedule.

[0317] 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.

[0318] The digital legacy management system in the present invention securely manages an individual's digital assets and provides a function to transfer them to the family when needed. In addition, by incorporating an emotion engine that analyzes the user's emotions and dynamically optimizes data management and display, more personalized digital asset management is realized.

[0319] Utilization of the Emotion Engine

[0320] As a central element of this system, an emotion engine is used. The emotion engine can infer the user's emotional state from the data, operation history, and even biometric signals input by the user through the terminal. For example, when the user is feeling stressed, the system detects this with the emotion engine and reduces the user's burden by simplifying the data display or prioritizing and listing necessary tasks.

[0321] Registration and Encrypted Storage of Information

[0322] Users register personal and digital asset information through their devices. This information is securely encrypted and stored on the server. If the emotion engine detects user anxiety during registration, it displays a support screen to facilitate the registration process.

[0323] AI-powered data organization and authentication

[0324] The artificial intelligence on the server periodically organizes registered data, categorizes it by relevance, and removes unnecessary information. During this process, the emotion engine adjusts the data organization algorithm according to the user's psychological state, maintaining the user's desired state. Furthermore, upon confirmation of a user's death, the server provides authentication information to the designated recipient in an emotionally appropriate manner, facilitating smooth access.

[0325] Subscription and renewal

[0326] The server periodically checks the user's subscription status and sends a notification via the device if renewal is required. The emotion engine determines the user's most receptive emotional state at the time of notification and sends the notification using appropriate language.

[0327] For example, if a user shows confusion during an ongoing procedure, the emotion engine detects this and displays a guided, step-by-step explanation on the device, ensuring the user can proceed smoothly. By incorporating the emotion engine, this system can provide a more user-friendly digital legacy management service.

[0328] The following describes the processing flow.

[0329] Step 1:

[0330] Users access the system using their devices and register basic data for digital legacy and emotion analysis. As users enter personal information, account information, and desired management policies, the emotion engine analyzes biosensors and input patterns to infer the user's emotional state.

[0331] Step 2:

[0332] Information received from the device is encrypted and securely stored by the server. At this time, based on the analysis results of the emotion engine, if the server determines that the user is experiencing anxiety or confusion, it instructs the device to provide navigation with a simple and easy-to-understand UI.

[0333] Step 3:

[0334] The server periodically organizes data using artificial intelligence. Leveraging feedback from an emotion engine, it adjusts the data organization method and display content according to the user's psychological state, enabling users to quickly access the information they need. Simultaneously, outdated and unnecessary data is deleted.

[0335] Step 4:

[0336] During the process of setting access permissions specified by the user through their device, the emotion engine detects the user's psychological state. If the user is in a state requiring caution, the server will follow its instructions, displaying an additional confirmation screen and prompting the user to reconfirm the settings.

[0337] Step 5:

[0338] Once a user's death is reported and confirmed by a third party, the server uses an emotion engine to analyze how to best present the information to the recipient in a way that is most acceptable. Authentication credentials are prepared and delivered to the recipient's device in a seamless and pleasant manner.

[0339] Step 6:

[0340] The server periodically checks the user's subscription status and, if renewal is required, sends a notification that takes the user's emotional state into consideration. The emotion engine sends the notification at a time when the user is least likely to experience stress, facilitating the renewal process.

[0341] (Example 2)

[0342] 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".

[0343] In modern society, as the amount of digital data an individual possesses increases, there is a need to securely manage this data and smoothly transfer it to surviving family members. However, conventional systems have a uniform approach to data management and lack the flexibility to respond to the individual emotional states of users. Furthermore, they have not achieved optimization of data manipulation and notifications that take into account the psychological state of the user, resulting in insufficient support for users who are experiencing stress.

[0344] 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.

[0345] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for using machine learning algorithms to organize the data, means for analyzing biometric information and user behavior to infer emotions, and means for optimizing the display and manipulation of data based on emotional information. This enables individually optimized data management and stress reduction support tailored to the user's emotions.

[0346] "Personal data" refers to information generated and owned by an individual that relates to the individual's identification, assets, or activities.

[0347] Encryption is the process of transforming data using a specific algorithm to make it unreadable by unauthorized third parties.

[0348] A "machine learning algorithm" is a computational method that can automatically improve accuracy by analyzing large amounts of data and learning patterns and rules in that data.

[0349] "Biometric information" refers to data obtained from an individual's body, including information such as heart rate, skin potential, and body temperature.

[0350] "User behavior" refers to data that shows a series of actions and intentions of a user while using a system.

[0351] "Emotional information" refers to information about a user's psychological state, inferred from the user's physiological and behavioral data.

[0352] A "recipient" is a person or organization designated to receive data or information from a user through the system.

[0353] "Methods of identity verification" refer to methods or procedures used to verify the identity of the recipient when providing information.

[0354] This invention provides a system for securely managing personal information and digital assets and, if necessary, transferring them to surviving family members. The system operates within a digital environment that includes terminals, servers, and an emotion engine. This section explains how each component works together.

[0355] System Configuration

[0356] Users access the system through their own devices and input personal and digital asset information. The device has the function of verifying the entered information before sending it to the server. The device also records the user's operation history and biometric signals (e.g., heart rate) in real time.

[0357] The server encrypts the received data using the AES-256 algorithm and securely stores it in cloud storage. The server also analyzes the data using machine learning algorithms (e.g., TensorFlow or PyTorch) to perform classification and delete unnecessary data.

[0358] The emotion engine infers emotions from the user's operation history and biometric signals, and when it detects stress or anxiety, it sends corresponding notifications to the device to support the user's actions. The emotion engine includes features that optimize data display and operation based on emotions.

[0359] Specific examples

[0360] When users register their digital assets, the terminal verifies the input data in real time and displays a warning if there are any errors. For example, if a user makes an error while entering complex financial information, the terminal will immediately display a message saying, "Please double-check this field."

[0361] Furthermore, if the emotion engine detects stress during the process, the system will display "Do you need help?" on the terminal and provide guided support regarding the process.

[0362] Example of a prompt

[0363] "What kind of support would be effective if a user experiences anxiety while registering their digital assets? Please explain how the emotion engine detects the user's emotions and provides support accordingly."

[0364] This system allows users to securely manage their digital legacy and transfer it to designated recipients in an appropriate manner. It also provides an emotionally resonant user experience, creating an environment where data can be handled without stress.

[0365] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0366] Step 1:

[0367] Users access the system through a terminal and input personal and digital asset information. This input data includes personally identifiable information and financial data. The terminal temporarily stores this data and verifies the input. Specifically, it checks the format and required fields in real time for each input item, and immediately displays a warning if the user makes a mistake. Through this process, the input data is organized into the correct format and ready to be sent to the server.

[0368] Step 2:

[0369] The device sends data that has passed verification to the server. Upon receiving the input, the server applies the AES-256 algorithm to encrypt the data. This encryption process converts the data into a secure format that cannot be accessed by others. As output, the encrypted data is stored in cloud storage. Specifically, the server performs the encryption process in real time and notifies the device when the process is complete.

[0370] Step 3:

[0371] The server periodically organizes its stored data using a machine learning algorithm. The input is the entire database stored on the server. This algorithm classifies the data, identifies and deletes unnecessary data. The output is organized data, improving the database's efficiency. Specifically, this process is executed as a periodic cleanup job, and the results are sent to the administrator as a report.

[0372] Step 4:

[0373] The device collects the user's biometric signals and operation history in real time for emotion analysis. Input data includes heart rate, mouse movement speed, and click frequency. The server analyzes this data using an emotion engine to infer the user's emotional state. The output determines the level of stress and anxiety the user is experiencing. Specifically, if stress is detected, the device provides the user with a support message such as "Do you need help?"

[0374] Step 5:

[0375] The server grants access rights to a designated recipient upon the user's death. This process involves the server, upon receiving a death notification, performing a pre-configured authentication procedure. Inputs include official documents such as a death certificate. The output is the granting of access permissions to the recipient. Specifically, the server provides access information to the designated recipient through secure authentication, enabling access to the digital legacy.

[0376] (Application Example 2)

[0377] 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 will be referred to as the "terminal."

[0378] In modern society, as personal digital assets become more diverse and important, there is a growing need to manage them appropriately and securely, and to smoothly transfer them to family members when necessary. However, conventional systems lack consideration for the emotional burden on users, and their technical complexity makes smooth asset management and transfer difficult.

[0379] 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.

[0380] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for organizing the information using machine learning, means for granting access rights to a designated recipient based on the user's death, means for periodically checking the information and contract status, and means for analyzing the user's emotional state and dynamically optimizing the displayed content. This enables the secure and user-friendly management of personal digital assets and facilitates smooth transfer of ownership.

[0381] "Personal data" refers to personal information and digital assets that users register when using the system.

[0382] "Encrypting and storing" means using encryption technology to protect registered data from being leaked to third parties and securely storing it on a server.

[0383] "Organizing information using machine learning" refers to using machine learning, a technique of artificial intelligence, to analyze registered data, categorize it, and delete unnecessary information.

[0384] "Granting access rights to a designated recipient" means that upon the user's death, access rights to digital assets are granted to a pre-designated person, enabling the transfer of assets.

[0385] "Contract status" refers to information that indicates the progress of subscriptions and contracts related to the use of the system.

[0386] "Analyzing emotional states and dynamically optimizing displayed content" refers to predicting the user's emotions, adjusting how the system displays information according to those emotions, and optimizing the user experience.

[0387] This invention is a system for smoothly managing individuals' digital assets and transferring them to appropriate recipients as needed. The system primarily operates using a server and user terminals.

[0388] The server first securely stores digital assets registered by users using encryption technology. For this storage, cloud storage services such as AWS S3 can be used. Next, the server periodically organizes the registered data using machine learning algorithms and deletes unnecessary data. This process can be implemented using programming languages ​​such as Python and machine learning libraries.

[0389] Furthermore, if the user's death is confirmed, the server will grant access to the digital assets to a pre-designated recipient. A verification process will also be implemented to ensure that the access is authenticated.

[0390] Meanwhile, the user's device analyzes the user's emotional state in real time based on data acquired from built-in sensors and input devices. For example, it uses the smartphone's camera, microphone, and biometric sensors to observe facial expressions, voice, heart rate, etc. Based on this, the interface and information displayed to the user are dynamically optimized according to their emotional state at that time. This improves the user experience.

[0391] For example, when a user uses this system to check their digital assets while on a pilgrimage to a grave, the emotion engine can display information that soothes the user's emotions.

[0392] Examples of prompts for a generative AI model:

[0393] "Please explain how the system optimizes and displays data when a user is experiencing stress."

[0394] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0395] Step 1:

[0396] The terminal receives personal data entered by the user and transforms the data using an encryption algorithm. This input includes the user's name, account information, and notes. This data is processed using encryption technologies such as AES or RSA and output as encrypted data.

[0397] Step 2:

[0398] The server receives encrypted data sent from the terminal and stores it in secure cloud storage. It takes encrypted data as input and generates a storage completion status in the cloud as output. The storage process is performed while verifying data integrity and security.

[0399] Step 3:

[0400] The server periodically organizes stored data using machine learning algorithms. The entire stored dataset is used as input. The data is categorized by the algorithm, and unnecessary data is identified and removed. The output is an organized data structure.

[0401] Step 4:

[0402] The server receives an assessment of the user's emotional state from the device and optimizes the displayed content based on that assessment. It receives input such as facial expression data, voice data, and heart rate from the device and classifies emotions using a generative AI model. It provides output that adjusts the display method of the user interface according to the emotion.

[0403] Step 5:

[0404] If the user's death is confirmed, the server grants access rights to a previously designated recipient, simulating scenarios such as visiting the grave. Here, it receives authentication information stored in the database as input, and issues access rights after a recipient authentication procedure. The output is a confirmation notification of the access rights grant.

[0405] Step 6:

[0406] The server periodically checks the contract status and notifies the user of any necessary renewals. It takes contract information and the user's subscription status as input and generates a notification message suggesting available renewal plans as output. The notification's timing and wording are optimized based on sentiment evaluation.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] [Third Embodiment]

[0411] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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.

[0420] 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.

[0421] 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 executed by the processor 46 on the RAM 48.

[0422] 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".

[0423] The digital legacy management system of the present invention can safely manage an individual's digital assets and account information and appropriately transfer them to the family members when needed. The following is a specific form for implementing this invention.

[0424] Registration and encrypted storage

[0425] Users access the system using their devices and provide personal and digital asset information. This information is transmitted to the server using advanced encryption technology. The server stores this information in a database and applies encryption to ensure security. Users can register information through file uploads or text input.

[0426] Data organization using artificial intelligence

[0427] The system utilizes artificial intelligence on the server to periodically organize stored information. The AI ​​categorizes the data and removes duplicates and outdated data, ensuring that the information is always up-to-date and relevant. This process makes it possible to quickly find the information you need.

[0428] Access rights settings and management

[0429] Users can access their device to configure access rights for family members and designated beneficiaries. Specifically, they can specify in detail who can access which data upon their death. The server manages this information and prepares to securely grant access rights to beneficiaries as needed.

[0430] Information provided upon death

[0431] If a user's death is confirmed, the server will provide authentication information to the designated recipient according to pre-configured conditions. The recipient will then be able to access the system from their device using the received authentication information and access digital assets and account information. This allows surviving family members to quickly and securely access the necessary information.

[0432] Subscription and renewal process

[0433] The server constantly monitors the user's subscription status and manages payment renewals and status changes. When it's time for contract renewal, the server sends a notification to the device to help the user decide whether to continue using the service. Furthermore, if automatic renewal is permitted, the server ensures continued use through appropriate procedures.

[0434] As described above, the present invention provides multi-layered processing and functions for the safe and efficient management of a user's digital legacy, enabling smooth information provision to bereaved families.

[0435] The following describes the processing flow.

[0436] Step 1:

[0437] Users access the system using their devices and register information about their digital assets. Users enter data such as their name, contact information, important account information, and associated passwords, and then submit the registration form.

[0438] Step 2:

[0439] Information sent from the terminal is received by the server. The server encrypts the received information using an advanced encryption algorithm and securely stores it in a database.

[0440] Step 3:

[0441] The server periodically uses artificial intelligence to organize stored data. The AI ​​analyzes the information, categorizes it, and detects and removes duplicate and outdated data. This ensures that the data is always up-to-date.

[0442] Step 4:

[0443] The user uses their device to set access rights for surviving family members and designated beneficiaries. The user specifies which data to disclose to each beneficiary and under what conditions, and sends this information to the server.

[0444] Step 5:

[0445] If a user's death is confirmed by a third party, the server will prepare to provide access information to a designated recipient based on the system's settings.

[0446] Step 6:

[0447] The recipient accesses the system using a device and logs in using authentication information sent from the server. This allows the recipient to access specific digital assets and information.

[0448] Step 7:

[0449] The server manages user subscriptions and periodically checks payment and renewal information. The server also sends notifications to users when renewal is approaching, prompting them to take the necessary steps.

[0450] (Example 1)

[0451] 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."

[0452] With the advancement of information technology, it has become common for individuals to possess various digital assets and online accounts. However, this information is often not properly transferred to surviving family members after the owner's death, leading to additional burdens and security risks. Furthermore, given the vastness and complexity of this information, there is a need for a system that can efficiently manage it and provide it quickly and securely when needed.

[0453] 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.

[0454] In this invention, the server includes means for acquiring personal information, means for encrypting the acquired information and transmitting it to a central processing unit, and means for storing the encrypted information in a data storage device. This ensures that personal digital assets are securely stored and that necessary information can be quickly and securely transferred to surviving family members even after the owner's death.

[0455] "Means of acquiring personal information" refers to a process in which users can provide their own identification information and digital assets through a data entry device.

[0456] "Means of encrypting and transmitting to a central processing unit" refers to a function that encrypts acquired information using security technology and securely transmits it to the main control unit for information processing.

[0457] "Means for storing encrypted information in a data storage device" refers to the ability to store encrypted data received from a central processing unit on a storage medium and prevent unauthorized access by third parties.

[0458] "Means for analyzing and classifying stored information using artificial intelligence" refers to applied technologies that analyze stored information based on data processing techniques, and organize it into related fields.

[0459] "Means of setting information access permissions for designated parties" refers to implementation technology for granting access rights to necessary information to recipients determined by user settings.

[0460] "Means for periodically checking and updating information and usage" refers to control functions that review the status of stored digital data and access rights at regular intervals and keep them up-to-date.

[0461] This invention is a system aimed at securely and efficiently managing individuals' digital assets and account information, and ensuring their proper transfer to surviving family members. This system primarily achieves this goal using terminals, servers, and artificial intelligence models.

[0462] First, the user accesses a dedicated application or web interface using their device and enters personal information and information about their digital assets. This information is protected using advanced encryption technology (e.g., AES-256) and transmitted from the device to the server.

[0463] The server securely stores the received encrypted information in a database. A database management system (DBMS) is used in the database to maintain accurate data structure and ensure security. In addition, the server regularly creates backups of the data and stores them in secure external storage.

[0464] Furthermore, the server utilizes generative AI models, particularly those with natural language processing capabilities (e.g., BERT), to analyze and organize the stored data. This process categorizes the data and automatically removes unnecessary data, allowing users to quickly find the information they are looking for.

[0465] Users can set access rights for pre-designated recipients. The server stores this configuration information in a separate encrypted database and prepares to provide authentication information to the designated recipients according to the specified conditions upon the user's death.

[0466] This system also manages infrastructure usage and contract status. The server constantly monitors the user's subscription status and sends notifications to the device when the renewal period approaches, supporting the user's continued use of the service.

[0467] For example, if a user wants to pass on their Google account password to their mother, this can be achieved by configuring the system using their device. An example of a prompt message might be, "I want to pass on my Google account password to my mother if I die in an accident. How can I set this up?"

[0468] As a result, the management of the user's digital heritage is rationalized, and the necessary information can be appropriately inherited even after death.

[0469] The flow of the specific process in Example 1 will be described with reference to FIG. 11.

[0470] Step 1:

[0471] The user logs in to the digital heritage management system using a terminal. The user inputs personal information and digital asset information. This includes digital data such as login information, memos, and files. This input data is encrypted using AES-256 encryption technology on the terminal. This encrypted data becomes the transmission output to the server.

[0472] Step 2:

[0473] The server receives the encrypted data transmitted from the terminal. The server uses a database management system (DBMS) to store the encrypted data in the database. The data is placed in a secure storage as it is, and a backup process is performed. The input is the encrypted data, and the output is the stored database entry.

[0474] Step 3:

[0475] The server periodically uses a generated AI model (e.g., BERT) for data sorting. The server analyzes the stored data and performs classification for each category. Through the analysis, data duplication is detected, and past information is deleted. The input of this process is the stored data, and the output is the updated database structure.

[0476] Step 4:

[0477] The user configures access rights from the terminal to the server. The user enters the designated recipient and access scope into the system, encrypts this information, and sends it. The server stores this information in a separate encrypted database. The input to this process is the access rights information, and the output is the configured database entry.

[0478] Step 5:

[0479] When an external organization notifies the user of their death, the server provides authentication information to the relevant parties based on pre-configured conditions. The recipient enters this authentication information using a terminal to access the system. The server receives this information and grants access to the digital assets. The input for this step is the death confirmation and the recipient's authentication information, and the output is the removal of access rights.

[0480] Step 6:

[0481] The server continuously manages the subscription status. When the contract renewal date approaches, the server sends a notification to the user's device. If the user checks the notification on their device and expresses their intention to continue using the service, the server performs the renewal process. The input to this process is the contract expiration information, and the output is the renewed subscription status.

[0482] (Application Example 1)

[0483] 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."

[0484] In modern society, the amount of digital assets individuals possess is increasing, making their organization and management increasingly complex. Furthermore, properly transferring digital assets to family members after the user's death presents a significant challenge. Additionally, there is a need to ensure the security of these assets while providing quick access when needed. Traditional systems have struggled to address these multiple challenges in a unified manner.

[0485] 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.

[0486] In this invention, the server includes means for collecting personal information, means for encrypting and storing the collected information, and means for organizing the data using machine learning techniques. This makes it possible to securely manage digital assets and to quickly transfer them to surviving family members after the user's death.

[0487] "Means of collecting personal information" refers to devices or software that include functions for transmitting digital assets or personal information from users to a server.

[0488] "Means of encryption and storage" refers to a device or software that includes the function of applying encryption technology to securely store collected information in a database.

[0489] "Means of organizing data using machine learning technology" refers to a device or software that includes the function of using machine learning algorithms to analyze data stored on a server and classify and optimize it by category.

[0490] "Means of granting access rights to a designated recipient based on the user's death status" refers to a device or software that includes a function to securely grant access to data to a designated person when the user's death is confirmed, based on pre-set conditions.

[0491] "Means for periodically monitoring subscription status" refers to a device or software that includes functions to monitor the user's service usage contract status and to perform updates or notifications as necessary.

[0492] "Means for transmitting data to a management device in real time via a communication network" refers to software including communication devices and protocols that enable real-time data transmission to data centers and management devices.

[0493] This system is designed to securely and efficiently manage individuals' digital assets. It is achieved through the interaction of servers, terminals, and users.

[0494] First, the terminal is provided with an interface for collecting user information, allowing users to easily register their digital assets and personal information. This information is transmitted to the server in real time. As soon as the server receives the information, it securely stores the data using advanced encryption technology (e.g., AES encryption).

[0495] The server uses machine learning techniques to periodically organize the accumulated information. In this process, data is classified into categories, and unnecessary information is removed. Specifically, generative AI models such as TensorFlow are used to classify and optimize the data.

[0496] Furthermore, the server has a feature that grants access to designated recipients according to pre-configured conditions upon the death of a user. This is achieved using a secure authentication protocol, allowing surviving family members to quickly and safely access important information.

[0497] Furthermore, the server periodically monitors the subscription status and has a function to send notifications to the user's device if renewal is required. These notifications are sent as push notifications to enhance user convenience.

[0498] For example, if a user registers a photo album as a digital asset, the server encrypts and stores the data, classifying it as "Memories." Subsequently, it securely grants access rights to the user's family members as needed.

[0499] An example of a prompt message would be, "Explain how to set access rights and securely manage the user's digital legacy stored in the data center." This allows the system to implement optimal management tailored to the user's needs.

[0500] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0501] Step 1:

[0502] Users register digital assets via their devices. The devices receive text data and file-based data as input and send it to the server. The devices ensure data security by encrypting the data using network protocols and transmitting it through a secure channel.

[0503] Step 2:

[0504] The server stores the received data in a database using advanced encryption algorithms. The output is stored in a secure format with access restrictions. The server processes the data using AES encryption and other methods to prevent unauthorized access.

[0505] Step 3:

[0506] The server uses a generative AI model to organize the data. Unorganized data from the database is passed as input, and the AI ​​model performs categorization and deduplication of the data. The output is the organized data, categorized and stored again in the database. Frameworks such as TensorFlow are used to create an efficient data structure.

[0507] Step 4:

[0508] When the death of the user is confirmed, the server provides the authentication information to the pre-set recipient and grants the access right. There is death confirmation information as input, and the access right is granted to the recipient as output. This is securely executed through a two-factor authentication protocol.

[0509] Step 5:

[0510] The server periodically monitors the status of the subscription and sends a push notification to the user terminal if an update is necessary. The input is the subscription data, and the notification information is sent to the user's terminal as output. The server manages the monitoring timing based on the time schedule.

[0511] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion specific model 59 and perform specific processing using the user's emotion.

[0512] The digital legacy management system in the present invention safely manages an individual's digital assets and provides a function to transfer them to the family when necessary. In addition, by incorporating an emotion engine that analyzes the user's emotion and dynamically optimizes the management and display of data, more personalized digital asset management is realized.

[0513] Utilization of the emotion engine

[0514] As a central element of this system, an emotion engine is used. The emotion engine can infer the user's emotional state from the data, operation history, and even biometric signals input by the user through the terminal. For example, when the user is feeling stressed, the system detects it with the emotion engine and reduces the user's burden by simplifying the data display or prioritizing and listing the necessary tasks.

[0515] Registration and encrypted storage of information

[0516] Users register personal and digital asset information through their devices. This information is securely encrypted and stored on the server. If the emotion engine detects user anxiety during registration, it displays a support screen to facilitate the registration process.

[0517] AI-powered data organization and authentication

[0518] The artificial intelligence on the server periodically organizes registered data, categorizes it by relevance, and removes unnecessary information. During this process, the emotion engine adjusts the data organization algorithm according to the user's psychological state, maintaining the user's desired state. Furthermore, upon confirmation of a user's death, the server provides authentication information to the designated recipient in an emotionally appropriate manner, facilitating smooth access.

[0519] Subscription and renewal

[0520] The server periodically checks the user's subscription status and sends a notification via the device if renewal is required. The emotion engine determines the user's most receptive emotional state at the time of notification and sends the notification using appropriate language.

[0521] For example, if a user shows confusion during an ongoing procedure, the emotion engine detects this and displays a guided, step-by-step explanation on the device, ensuring the user can proceed smoothly. By incorporating the emotion engine, this system can provide a more user-friendly digital legacy management service.

[0522] The following describes the processing flow.

[0523] Step 1:

[0524] Users access the system using their devices and register basic data for digital legacy and emotion analysis. As users enter personal information, account information, and desired management policies, the emotion engine analyzes biosensors and input patterns to infer the user's emotional state.

[0525] Step 2:

[0526] Information received from the device is encrypted and securely stored by the server. At this time, based on the analysis results of the emotion engine, if the server determines that the user is experiencing anxiety or confusion, it instructs the device to provide navigation with a simple and easy-to-understand UI.

[0527] Step 3:

[0528] The server periodically organizes data using artificial intelligence. Leveraging feedback from an emotion engine, it adjusts the data organization method and display content according to the user's psychological state, enabling users to quickly access the information they need. Simultaneously, outdated and unnecessary data is deleted.

[0529] Step 4:

[0530] During the process of setting access permissions specified by the user through their device, the emotion engine detects the user's psychological state. If the user is in a state requiring caution, the server will follow its instructions, displaying an additional confirmation screen and prompting the user to reconfirm the settings.

[0531] Step 5:

[0532] Once a user's death is reported and confirmed by a third party, the server uses an emotion engine to analyze how to best present the information to the recipient in a way that is most acceptable. Authentication credentials are prepared and delivered to the recipient's device in a seamless and pleasant manner.

[0533] Step 6:

[0534] The server periodically checks the user's subscription status and, if renewal is required, sends a notification that takes the user's emotional state into consideration. The emotion engine sends the notification at a time when the user is least likely to experience stress, facilitating the renewal process.

[0535] (Example 2)

[0536] 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."

[0537] In modern society, as the amount of digital data an individual possesses increases, there is a need to securely manage this data and smoothly transfer it to surviving family members. However, conventional systems have a uniform approach to data management and lack the flexibility to respond to the individual emotional states of users. Furthermore, they have not achieved optimization of data manipulation and notifications that take into account the psychological state of the user, resulting in insufficient support for users who are experiencing stress.

[0538] 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.

[0539] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for using machine learning algorithms to organize the data, means for analyzing biometric information and user behavior to infer emotions, and means for optimizing the display and manipulation of data based on emotional information. This enables individually optimized data management and stress reduction support tailored to the user's emotions.

[0540] "Personal data" refers to information generated and owned by an individual that relates to the individual's identification, assets, or activities.

[0541] Encryption is the process of transforming data using a specific algorithm to make it unreadable by unauthorized third parties.

[0542] A "machine learning algorithm" is a computational method that can automatically improve accuracy by analyzing large amounts of data and learning patterns and rules in that data.

[0543] "Biometric information" refers to data obtained from an individual's body, including information such as heart rate, skin potential, and body temperature.

[0544] "User behavior" refers to data that shows a series of actions and intentions of a user while using a system.

[0545] "Emotional information" refers to information about a user's psychological state, inferred from the user's physiological and behavioral data.

[0546] A "recipient" is a person or organization designated to receive data or information from a user through the system.

[0547] "Methods of identity verification" refer to methods or procedures used to verify the identity of the recipient when providing information.

[0548] This invention provides a system for securely managing personal information and digital assets and, if necessary, transferring them to surviving family members. The system operates within a digital environment that includes terminals, servers, and an emotion engine. This section explains how each component works together.

[0549] System Configuration

[0550] Users access the system through their own devices and input personal and digital asset information. The device has the function of verifying the entered information before sending it to the server. The device also records the user's operation history and biometric signals (e.g., heart rate) in real time.

[0551] The server encrypts the received data using the AES-256 algorithm and securely stores it in cloud storage. The server also analyzes the data using machine learning algorithms (e.g., TensorFlow or PyTorch) to perform classification and delete unnecessary data.

[0552] The emotion engine infers emotions from the user's operation history and biometric signals, and when it detects stress or anxiety, it sends corresponding notifications to the device to support the user's actions. The emotion engine includes features that optimize data display and operation based on emotions.

[0553] Specific examples

[0554] When users register their digital assets, the terminal verifies the input data in real time and displays a warning if there are any errors. For example, if a user makes an error while entering complex financial information, the terminal will immediately display a message saying, "Please double-check this field."

[0555] Furthermore, if the emotion engine detects stress during the process, the system will display "Do you need help?" on the terminal and provide guided support regarding the process.

[0556] Example of a prompt

[0557] "What kind of support would be effective if a user experiences anxiety while registering their digital assets? Please explain how the emotion engine detects the user's emotions and provides support accordingly."

[0558] This system allows users to securely manage their digital legacy and transfer it to designated recipients in an appropriate manner. It also provides an emotionally resonant user experience, creating an environment where data can be handled without stress.

[0559] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0560] Step 1:

[0561] Users access the system through a terminal and input personal and digital asset information. This input data includes personally identifiable information and financial data. The terminal temporarily stores this data and verifies the input. Specifically, it checks the format and required fields in real time for each input item, and immediately displays a warning if the user makes a mistake. Through this process, the input data is organized into the correct format and ready to be sent to the server.

[0562] Step 2:

[0563] The device sends data that has passed verification to the server. Upon receiving the input, the server applies the AES-256 algorithm to encrypt the data. This encryption process converts the data into a secure format that cannot be accessed by others. As output, the encrypted data is stored in cloud storage. Specifically, the server performs the encryption process in real time and notifies the device when the process is complete.

[0564] Step 3:

[0565] The server periodically organizes its stored data using a machine learning algorithm. The input is the entire database stored on the server. This algorithm classifies the data, identifies and deletes unnecessary data. The output is organized data, improving the database's efficiency. Specifically, this process is executed as a periodic cleanup job, and the results are sent to the administrator as a report.

[0566] Step 4:

[0567] The device collects the user's biometric signals and operation history in real time for emotion analysis. Input data includes heart rate, mouse movement speed, and click frequency. The server analyzes this data using an emotion engine to infer the user's emotional state. The output determines the level of stress and anxiety the user is experiencing. Specifically, if stress is detected, the device provides the user with a support message such as "Do you need help?"

[0568] Step 5:

[0569] The server grants access rights to a designated recipient upon the user's death. This process involves the server, upon receiving a death notification, performing a pre-configured authentication procedure. Inputs include official documents such as a death certificate. The output is the granting of access permissions to the recipient. Specifically, the server provides access information to the designated recipient through secure authentication, enabling access to the digital legacy.

[0570] (Application Example 2)

[0571] 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."

[0572] In modern society, as personal digital assets become more diverse and important, there is a growing need to manage them appropriately and securely, and to smoothly transfer them to family members when necessary. However, conventional systems lack consideration for the emotional burden on users, and their technical complexity makes smooth asset management and transfer difficult.

[0573] 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.

[0574] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for organizing the information using machine learning, means for granting access rights to a designated recipient based on the user's death, means for periodically checking the information and contract status, and means for analyzing the user's emotional state and dynamically optimizing the displayed content. This enables the secure and user-friendly management of personal digital assets and facilitates smooth transfer of ownership.

[0575] "Personal data" refers to personal information and digital assets that users register when using the system.

[0576] "Encrypting and storing" means using encryption technology to protect registered data from being leaked to third parties and securely storing it on a server.

[0577] "Organizing information using machine learning" refers to using machine learning, a technique of artificial intelligence, to analyze registered data, categorize it, and delete unnecessary information.

[0578] "Granting access rights to a designated recipient" means that upon the user's death, access rights to digital assets are granted to a pre-designated person, enabling the transfer of assets.

[0579] "Contract status" refers to information that indicates the progress of subscriptions and contracts related to the use of the system.

[0580] "Analyzing emotional states and dynamically optimizing displayed content" refers to predicting the user's emotions, adjusting how the system displays information according to those emotions, and optimizing the user experience.

[0581] This invention is a system for smoothly managing individuals' digital assets and transferring them to appropriate recipients as needed. The system primarily operates using a server and user terminals.

[0582] The server first securely stores digital assets registered by users using encryption technology. For this storage, cloud storage services such as AWS S3 can be used. Next, the server periodically organizes the registered data using machine learning algorithms and deletes unnecessary data. This process can be implemented using programming languages ​​such as Python and machine learning libraries.

[0583] Furthermore, if the user's death is confirmed, the server will grant access to the digital assets to a pre-designated recipient. A verification process will also be implemented to ensure that the access is authenticated.

[0584] Meanwhile, the user's device analyzes the user's emotional state in real time based on data acquired from built-in sensors and input devices. For example, it uses the smartphone's camera, microphone, and biometric sensors to observe facial expressions, voice, heart rate, etc. Based on this, the interface and information displayed to the user are dynamically optimized according to their emotional state at that time. This improves the user experience.

[0585] For example, when a user uses this system to check their digital assets while on a pilgrimage to a grave, the emotion engine can display information that soothes the user's emotions.

[0586] Examples of prompts for a generative AI model:

[0587] "Please explain how the system optimizes and displays data when a user is experiencing stress."

[0588] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0589] Step 1:

[0590] The terminal receives personal data entered by the user and transforms the data using an encryption algorithm. This input includes the user's name, account information, and notes. This data is processed using encryption technologies such as AES or RSA and output as encrypted data.

[0591] Step 2:

[0592] The server receives encrypted data sent from the terminal and stores it in secure cloud storage. It takes encrypted data as input and generates a storage completion status in the cloud as output. The storage process is performed while verifying data integrity and security.

[0593] Step 3:

[0594] The server periodically organizes stored data using machine learning algorithms. The entire stored dataset is used as input. The data is categorized by the algorithm, and unnecessary data is identified and removed. The output is an organized data structure.

[0595] Step 4:

[0596] The server receives an assessment of the user's emotional state from the device and optimizes the displayed content based on that assessment. It receives input such as facial expression data, voice data, and heart rate from the device and classifies emotions using a generative AI model. It provides output that adjusts the display method of the user interface according to the emotion.

[0597] Step 5:

[0598] If the user's death is confirmed, the server grants access rights to a previously designated recipient, simulating scenarios such as visiting the grave. Here, it receives authentication information stored in the database as input, and issues access rights after a recipient authentication procedure. The output is a confirmation notification of the access rights grant.

[0599] Step 6:

[0600] The server periodically checks the contract status and notifies the user of any necessary renewals. It takes contract information and the user's subscription status as input and generates a notification message suggesting available renewal plans as output. The notification's timing and wording are optimized based on sentiment evaluation.

[0601] 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.

[0602] 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.

[0603] 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.

[0604] [Fourth Embodiment]

[0605] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0606] 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.

[0607] 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).

[0608] 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.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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 specific processing program 56 is stored in the storage 32.

[0614] 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.

[0615] The data generation model 58 and the emotion identification model 59 are stored in the storage 32. The data generation model 58 and the emotion identification model 59 are used by the specific processing unit 290.

[0616] In the robot 414, reception / output processing is performed by the processor 46. The reception / output program 60 is stored in the storage 50. The processor 46 reads the reception / output program 60 from the storage 50 and executes the read reception / output program 60 on the RAM 48. The reception / output 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.

[0617] 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".

[0618] The digital legacy management system of the present invention can safely manage an individual's digital assets and account information and appropriately transfer them to the family members when needed. The following is a specific form for implementing this invention.

[0619] Registration and encrypted storage

[0620] Users access the system using their devices and provide personal and digital asset information. This information is transmitted to the server using advanced encryption technology. The server stores this information in a database and applies encryption to ensure security. Users can register information through file uploads or text input.

[0621] Data organization using artificial intelligence

[0622] The system utilizes artificial intelligence on the server to periodically organize stored information. The AI ​​categorizes the data and removes duplicates and outdated data, ensuring that the information is always up-to-date and relevant. This process makes it possible to quickly find the information you need.

[0623] Access rights settings and management

[0624] Users can access their device to configure access rights for family members and designated beneficiaries. Specifically, they can specify in detail who can access which data upon their death. The server manages this information and prepares to securely grant access rights to beneficiaries as needed.

[0625] Information provided upon death

[0626] If a user's death is confirmed, the server will provide authentication information to the designated recipient according to pre-configured conditions. The recipient will then be able to access the system from their device using the received authentication information and access digital assets and account information. This allows surviving family members to quickly and securely access the necessary information.

[0627] Subscription and renewal process

[0628] The server constantly monitors the user's subscription status and manages payment renewals and status changes. When it's time for contract renewal, the server sends a notification to the device to help the user decide whether to continue using the service. Furthermore, if automatic renewal is permitted, the server ensures continued use through appropriate procedures.

[0629] As described above, the present invention provides multi-layered processing and functions for the safe and efficient management of a user's digital legacy, enabling smooth information provision to bereaved families.

[0630] The following describes the processing flow.

[0631] Step 1:

[0632] Users access the system using their devices and register information about their digital assets. Users enter data such as their name, contact information, important account information, and associated passwords, and then submit the registration form.

[0633] Step 2:

[0634] Information sent from the terminal is received by the server. The server encrypts the received information using an advanced encryption algorithm and securely stores it in a database.

[0635] Step 3:

[0636] The server periodically uses artificial intelligence to organize stored data. The AI ​​analyzes the information, categorizes it, and detects and removes duplicate and outdated data. This ensures that the data is always up-to-date.

[0637] Step 4:

[0638] The user uses their device to set access rights for surviving family members and designated beneficiaries. The user specifies which data to disclose to each beneficiary and under what conditions, and sends this information to the server.

[0639] Step 5:

[0640] If a user's death is confirmed by a third party, the server will prepare to provide access information to a designated recipient based on the system's settings.

[0641] Step 6:

[0642] The recipient accesses the system using a device and logs in using authentication information sent from the server. This allows the recipient to access specific digital assets and information.

[0643] Step 7:

[0644] The server manages user subscriptions and periodically checks payment and renewal information. The server also sends notifications to users when renewal is approaching, prompting them to take the necessary steps.

[0645] (Example 1)

[0646] 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".

[0647] With the advancement of information technology, it has become common for individuals to possess various digital assets and online accounts. However, this information is often not properly transferred to surviving family members after the owner's death, leading to additional burdens and security risks. Furthermore, given the vastness and complexity of this information, there is a need for a system that can efficiently manage it and provide it quickly and securely when needed.

[0648] 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.

[0649] In this invention, the server includes means for acquiring personal information, means for encrypting the acquired information and transmitting it to a central processing unit, and means for storing the encrypted information in a data storage device. This ensures that personal digital assets are securely stored and that necessary information can be quickly and securely transferred to surviving family members even after the owner's death.

[0650] "Means of acquiring personal information" refers to a process in which users can provide their own identification information and digital assets through a data entry device.

[0651] "Means of encrypting and transmitting to a central processing unit" refers to a function that encrypts acquired information using security technology and securely transmits it to the main control unit for information processing.

[0652] "Means for storing encrypted information in a data storage device" refers to the ability to store encrypted data received from a central processing unit on a storage medium and prevent unauthorized access by third parties.

[0653] "Means for analyzing and classifying stored information using artificial intelligence" refers to applied technologies that analyze stored information based on data processing techniques, and organize it into related fields.

[0654] "Means of setting information access permissions for designated parties" refers to implementation technology for granting access rights to necessary information to recipients determined by user settings.

[0655] "Means for periodically checking and updating information and usage" refers to control functions that review the status of stored digital data and access rights at regular intervals and keep them up-to-date.

[0656] This invention is a system aimed at securely and efficiently managing individuals' digital assets and account information, and ensuring their proper transfer to surviving family members. This system primarily achieves this goal using terminals, servers, and artificial intelligence models.

[0657] First, the user accesses a dedicated application or web interface using their device and enters personal information and information about their digital assets. This information is protected using advanced encryption technology (e.g., AES-256) and transmitted from the device to the server.

[0658] The server securely stores the received encrypted information in a database. A database management system (DBMS) is used in the database to maintain accurate data structure and ensure security. In addition, the server regularly creates backups of the data and stores them in secure external storage.

[0659] Furthermore, the server utilizes generative AI models, particularly those with natural language processing capabilities (e.g., BERT), to analyze and organize the stored data. This process categorizes the data and automatically removes unnecessary data, allowing users to quickly find the information they are looking for.

[0660] Users can set access rights for pre-designated recipients. The server stores this configuration information in a separate encrypted database and prepares to provide authentication information to the designated recipients according to the specified conditions upon the user's death.

[0661] This system also manages infrastructure usage and contract status. The server constantly monitors the user's subscription status and sends notifications to the device when the renewal period approaches, supporting the user's continued use of the service.

[0662] For example, if a user wants to pass on their Google account password to their mother, this can be achieved by configuring the system using their device. An example of a prompt message might be, "I want to pass on my Google account password to my mother if I die in an accident. How can I set this up?"

[0663] This rationalizes the management of the user's digital legacy and enables the appropriate inheritance of necessary information even after death.

[0664] The flow of the specific process in Example 1 will be described using FIG. 11.

[0665] Step 1:

[0666] The user logs in to the digital legacy management system using a terminal. The user inputs personal information and digital asset information. This includes digital data such as login information, memos, and files. This input data is encrypted using the AES-256 encryption technology on the terminal. This encrypted data becomes the transmission output to the server.

[0667] Step 2:

[0668] The server receives the encrypted data transmitted from the terminal. The server uses a database management system (DBMS) to store the encrypted data in the database. The data is placed in a secure storage as it is, and a backup process is carried out. The input is the encrypted data, and the output is the stored database entry.

[0669] Step 3: <�

[0670] The server periodically uses a generated AI model (e.g., BERT) for data sorting. The server analyzes the stored data and performs classification for each category. Through the analysis, data duplication is detected, and past information is deleted. The input of this process is the stored data, and the output is the updated database structure.

[0671] Step 4:

[0672] The user configures access rights from the terminal to the server. The user enters the designated recipient and access scope into the system, encrypts this information, and sends it. The server stores this information in a separate encrypted database. The input to this process is the access rights information, and the output is the configured database entry.

[0673] Step 5:

[0674] When an external organization notifies the user of their death, the server provides authentication information to the relevant parties based on pre-configured conditions. The recipient enters this authentication information using a terminal to access the system. The server receives this information and grants access to the digital assets. The input for this step is the death confirmation and the recipient's authentication information, and the output is the removal of access rights.

[0675] Step 6:

[0676] The server continuously manages the subscription status. When the contract renewal date approaches, the server sends a notification to the user's device. If the user checks the notification on their device and expresses their intention to continue using the service, the server performs the renewal process. The input to this process is the contract expiration information, and the output is the renewed subscription status.

[0677] (Application Example 1)

[0678] 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".

[0679] In modern society, the amount of digital assets individuals possess is increasing, making their organization and management increasingly complex. Furthermore, properly transferring digital assets to family members after the user's death presents a significant challenge. Additionally, there is a need to ensure the security of these assets while providing quick access when needed. Traditional systems have struggled to address these multiple challenges in a unified manner.

[0680] 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.

[0681] In this invention, the server includes means for collecting personal information, means for encrypting and storing the collected information, and means for organizing the data using machine learning techniques. This makes it possible to securely manage digital assets and to quickly transfer them to surviving family members after the user's death.

[0682] "Means of collecting personal information" refers to devices or software that include functions for transmitting digital assets or personal information from users to a server.

[0683] "Means of encryption and storage" refers to a device or software that includes the function of applying encryption technology to securely store collected information in a database.

[0684] "Means of organizing data using machine learning technology" refers to a device or software that includes the function of using machine learning algorithms to analyze data stored on a server and classify and optimize it by category.

[0685] "Means of granting access rights to a designated recipient based on the user's death status" refers to a device or software that includes a function to securely grant access to data to a designated person when the user's death is confirmed, based on pre-set conditions.

[0686] "Means for periodically monitoring subscription status" refers to a device or software that includes functions to monitor the user's service usage contract status and to perform updates or notifications as necessary.

[0687] "Means for transmitting data to a management device in real time via a communication network" refers to software including communication devices and protocols that enable real-time data transmission to data centers and management devices.

[0688] This system is designed to securely and efficiently manage individuals' digital assets. It is achieved through the interaction of servers, terminals, and users.

[0689] First, the terminal is provided with an interface for collecting user information, allowing users to easily register their digital assets and personal information. This information is transmitted to the server in real time. As soon as the server receives the information, it securely stores the data using advanced encryption technology (e.g., AES encryption).

[0690] The server uses machine learning techniques to periodically organize the accumulated information. In this process, data is classified into categories, and unnecessary information is removed. Specifically, generative AI models such as TensorFlow are used to classify and optimize the data.

[0691] Furthermore, the server has a feature that grants access to designated recipients according to pre-configured conditions upon the death of a user. This is achieved using a secure authentication protocol, allowing surviving family members to quickly and safely access important information.

[0692] Furthermore, the server periodically monitors the subscription status and has a function to send notifications to the user's device if renewal is required. These notifications are sent as push notifications to enhance user convenience.

[0693] For example, if a user registers a photo album as a digital asset, the server encrypts and stores the data, classifying it as "Memories." Subsequently, it securely grants access rights to the user's family members as needed.

[0694] An example of a prompt message would be, "Explain how to set access rights and securely manage the user's digital legacy stored in the data center." This allows the system to implement optimal management tailored to the user's needs.

[0695] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0696] Step 1:

[0697] Users register digital assets via their devices. The devices receive text data and file-based data as input and send it to the server. The devices ensure data security by encrypting the data using network protocols and transmitting it through a secure channel.

[0698] Step 2:

[0699] The server stores the received data in a database using advanced encryption algorithms. The output is stored in a secure format with access restrictions. The server processes the data using AES encryption and other methods to prevent unauthorized access.

[0700] Step 3:

[0701] The server uses a generative AI model to organize the data. Unorganized data from the database is passed as input, and the AI ​​model performs categorization and deduplication of the data. The output is the organized data, categorized and stored again in the database. Frameworks such as TensorFlow are used to create an efficient data structure.

[0702] Step 4:

[0703] When the death of the user is confirmed, the server provides authentication information to the pre-set recipient and grants access rights. The input is the death confirmation information, and the output is the granting of access rights to the recipient. This is securely executed through a two-factor authentication protocol.

[0704] Step 5:

[0705] The server periodically monitors the subscription status and sends a push notification to the user terminal if an update is necessary. The input is the subscription data, and the output is that the notification information is sent to the user's terminal. The server manages the monitoring timing based on a time schedule.

[0706] 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 specific model 59 and perform specific processing using the user's emotions.

[0707] The digital legacy management system in the present invention provides a function of safely managing an individual's digital assets and transferring them to the family when necessary. In addition, by incorporating an emotion engine that analyzes the user's emotions and dynamically optimizes the management and display of data, more personalized digital asset management is realized.

[0708] Utilization of the emotion engine

[0709] As a central element of this system, an emotion engine is used. The emotion engine can infer the user's emotional state from the data input by the user through the terminal, the operation history, and further biometric signals. For example, when the user is feeling stressed, the system detects it with the emotion engine and reduces the user's burden by simplifying the data display or prioritizing and listing the necessary tasks.

[0710] Registration and encrypted storage of information

[0711] Users register personal and digital asset information through their devices. This information is securely encrypted and stored on the server. If the emotion engine detects user anxiety during registration, it displays a support screen to facilitate the registration process.

[0712] AI-powered data organization and authentication

[0713] The artificial intelligence on the server periodically organizes registered data, categorizes it by relevance, and removes unnecessary information. During this process, the emotion engine adjusts the data organization algorithm according to the user's psychological state, maintaining the user's desired state. Furthermore, upon confirmation of a user's death, the server provides authentication information to the designated recipient in an emotionally appropriate manner, facilitating smooth access.

[0714] Subscription and renewal

[0715] The server periodically checks the user's subscription status and sends a notification via the device if renewal is required. The emotion engine determines the user's most receptive emotional state at the time of notification and sends the notification using appropriate language.

[0716] For example, if a user shows confusion during an ongoing procedure, the emotion engine detects this and displays a guided, step-by-step explanation on the device, ensuring the user can proceed smoothly. By incorporating the emotion engine, this system can provide a more user-friendly digital legacy management service.

[0717] The following describes the processing flow.

[0718] Step 1:

[0719] Users access the system using their devices and register basic data for digital legacy and emotion analysis. As users enter personal information, account information, and desired management policies, the emotion engine analyzes biosensors and input patterns to infer the user's emotional state.

[0720] Step 2:

[0721] Information received from the device is encrypted and securely stored by the server. At this time, based on the analysis results of the emotion engine, if the server determines that the user is experiencing anxiety or confusion, it instructs the device to provide navigation with a simple and easy-to-understand UI.

[0722] Step 3:

[0723] The server periodically organizes data using artificial intelligence. Leveraging feedback from an emotion engine, it adjusts the data organization method and display content according to the user's psychological state, enabling users to quickly access the information they need. Simultaneously, outdated and unnecessary data is deleted.

[0724] Step 4:

[0725] During the process of setting access permissions specified by the user through their device, the emotion engine detects the user's psychological state. If the user is in a state requiring caution, the server will follow its instructions, displaying an additional confirmation screen and prompting the user to reconfirm the settings.

[0726] Step 5:

[0727] Once a user's death is reported and confirmed by a third party, the server uses an emotion engine to analyze how to best present the information to the recipient in a way that is most acceptable. Authentication credentials are prepared and delivered to the recipient's device in a seamless and pleasant manner.

[0728] Step 6:

[0729] The server periodically checks the user's subscription status and, if renewal is required, sends a notification that takes the user's emotional state into consideration. The emotion engine sends the notification at a time when the user is least likely to experience stress, facilitating the renewal process.

[0730] (Example 2)

[0731] 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".

[0732] In modern society, as the amount of digital data an individual possesses increases, there is a need to securely manage this data and smoothly transfer it to surviving family members. However, conventional systems have a uniform approach to data management and lack the flexibility to respond to the individual emotional states of users. Furthermore, they have not achieved optimization of data manipulation and notifications that take into account the psychological state of the user, resulting in insufficient support for users who are experiencing stress.

[0733] 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.

[0734] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for using machine learning algorithms to organize the data, means for analyzing biometric information and user behavior to infer emotions, and means for optimizing the display and manipulation of data based on emotional information. This enables individually optimized data management and stress reduction support tailored to the user's emotions.

[0735] "Personal data" refers to information generated and owned by an individual that relates to the individual's identification, assets, or activities.

[0736] Encryption is the process of transforming data using a specific algorithm to make it unreadable by unauthorized third parties.

[0737] A "machine learning algorithm" is a computational method that can automatically improve accuracy by analyzing large amounts of data and learning patterns and rules in that data.

[0738] "Biometric information" refers to data obtained from an individual's body, including information such as heart rate, skin potential, and body temperature.

[0739] "User behavior" refers to data that shows a series of actions and intentions of a user while using a system.

[0740] "Emotional information" refers to information about a user's psychological state, inferred from the user's physiological and behavioral data.

[0741] A "recipient" is a person or organization designated to receive data or information from a user through the system.

[0742] "Methods of identity verification" refer to methods or procedures used to verify the identity of the recipient when providing information.

[0743] This invention provides a system for securely managing personal information and digital assets and, if necessary, transferring them to surviving family members. The system operates within a digital environment that includes terminals, servers, and an emotion engine. This section explains how each component works together.

[0744] System Configuration

[0745] Users access the system through their own devices and input personal and digital asset information. The device has the function of verifying the entered information before sending it to the server. The device also records the user's operation history and biometric signals (e.g., heart rate) in real time.

[0746] The server encrypts the received data using the AES-256 algorithm and securely stores it in cloud storage. The server also analyzes the data using machine learning algorithms (e.g., TensorFlow or PyTorch) to perform classification and delete unnecessary data.

[0747] The emotion engine infers emotions from the user's operation history and biometric signals, and when it detects stress or anxiety, it sends corresponding notifications to the device to support the user's actions. The emotion engine includes features that optimize data display and operation based on emotions.

[0748] Specific examples

[0749] When users register their digital assets, the terminal verifies the input data in real time and displays a warning if there are any errors. For example, if a user makes an error while entering complex financial information, the terminal will immediately display a message saying, "Please double-check this field."

[0750] Furthermore, if the emotion engine detects stress during the process, the system will display "Do you need help?" on the terminal and provide guided support regarding the process.

[0751] Example of a prompt

[0752] "What kind of support would be effective if a user experiences anxiety while registering their digital assets? Please explain how the emotion engine detects the user's emotions and provides support accordingly."

[0753] This system allows users to securely manage their digital legacy and transfer it to designated recipients in an appropriate manner. It also provides an emotionally resonant user experience, creating an environment where data can be handled without stress.

[0754] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0755] Step 1:

[0756] Users access the system through a terminal and input personal and digital asset information. This input data includes personally identifiable information and financial data. The terminal temporarily stores this data and verifies the input. Specifically, it checks the format and required fields in real time for each input item, and immediately displays a warning if the user makes a mistake. Through this process, the input data is organized into the correct format and ready to be sent to the server.

[0757] Step 2:

[0758] The device sends data that has passed verification to the server. Upon receiving the input, the server applies the AES-256 algorithm to encrypt the data. This encryption process converts the data into a secure format that cannot be accessed by others. As output, the encrypted data is stored in cloud storage. Specifically, the server performs the encryption process in real time and notifies the device when the process is complete.

[0759] Step 3:

[0760] The server periodically organizes its stored data using a machine learning algorithm. The input is the entire database stored on the server. This algorithm classifies the data, identifies and deletes unnecessary data. The output is organized data, improving the database's efficiency. Specifically, this process is executed as a periodic cleanup job, and the results are sent to the administrator as a report.

[0761] Step 4:

[0762] The device collects the user's biometric signals and operation history in real time for emotion analysis. Input data includes heart rate, mouse movement speed, and click frequency. The server analyzes this data using an emotion engine to infer the user's emotional state. The output determines the level of stress and anxiety the user is experiencing. Specifically, if stress is detected, the device provides the user with a support message such as "Do you need help?"

[0763] Step 5:

[0764] The server grants access rights to a designated recipient upon the user's death. This process involves the server, upon receiving a death notification, performing a pre-configured authentication procedure. Inputs include official documents such as a death certificate. The output is the granting of access permissions to the recipient. Specifically, the server provides access information to the designated recipient through secure authentication, enabling access to the digital legacy.

[0765] (Application Example 2)

[0766] 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".

[0767] In modern society, as personal digital assets become more diverse and important, there is a growing need to manage them appropriately and securely, and to smoothly transfer them to family members when necessary. However, conventional systems lack consideration for the emotional burden on users, and their technical complexity makes smooth asset management and transfer difficult.

[0768] 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.

[0769] In this invention, the server includes means for registering personal data, means for encrypting and storing the registered data, means for organizing the information using machine learning, means for granting access rights to a designated recipient based on the user's death, means for periodically checking the information and contract status, and means for analyzing the user's emotional state and dynamically optimizing the displayed content. This enables the secure and user-friendly management of personal digital assets and facilitates smooth transfer of ownership.

[0770] "Personal data" refers to personal information and digital assets that users register when using the system.

[0771] "Encrypting and storing" means using encryption technology to protect registered data from being leaked to third parties and securely storing it on a server.

[0772] "Organizing information using machine learning" refers to using machine learning, a technique of artificial intelligence, to analyze registered data, categorize it, and delete unnecessary information.

[0773] "Granting access rights to a designated recipient" means that upon the user's death, access rights to digital assets are granted to a pre-designated person, enabling the transfer of assets.

[0774] "Contract status" refers to information that indicates the progress of subscriptions and contracts related to the use of the system.

[0775] "Analyzing emotional states and dynamically optimizing displayed content" refers to predicting the user's emotions, adjusting how the system displays information according to those emotions, and optimizing the user experience.

[0776] This invention is a system for smoothly managing individuals' digital assets and transferring them to appropriate recipients as needed. The system primarily operates using a server and user terminals.

[0777] The server first securely stores digital assets registered by users using encryption technology. For this storage, cloud storage services such as AWS S3 can be used. Next, the server periodically organizes the registered data using machine learning algorithms and deletes unnecessary data. This process can be implemented using programming languages ​​such as Python and machine learning libraries.

[0778] Furthermore, if the user's death is confirmed, the server will grant access to the digital assets to a pre-designated recipient. A verification process will also be implemented to ensure that the access is authenticated.

[0779] Meanwhile, the user's device analyzes the user's emotional state in real time based on data acquired from built-in sensors and input devices. For example, it uses the smartphone's camera, microphone, and biometric sensors to observe facial expressions, voice, heart rate, etc. Based on this, the interface and information displayed to the user are dynamically optimized according to their emotional state at that time. This improves the user experience.

[0780] For example, when a user uses this system to check their digital assets while on a pilgrimage to a grave, the emotion engine can display information that soothes the user's emotions.

[0781] Examples of prompts for a generative AI model:

[0782] "Please explain how the system optimizes and displays data when a user is experiencing stress."

[0783] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0784] Step 1:

[0785] The terminal receives personal data entered by the user and transforms the data using an encryption algorithm. This input includes the user's name, account information, and notes. This data is processed using encryption technologies such as AES or RSA and output as encrypted data.

[0786] Step 2:

[0787] The server receives encrypted data sent from the terminal and stores it in secure cloud storage. It takes encrypted data as input and generates a storage completion status in the cloud as output. The storage process is performed while verifying data integrity and security.

[0788] Step 3:

[0789] The server periodically organizes stored data using machine learning algorithms. The entire stored dataset is used as input. The data is categorized by the algorithm, and unnecessary data is identified and removed. The output is an organized data structure.

[0790] Step 4:

[0791] The server receives an assessment of the user's emotional state from the device and optimizes the displayed content based on that assessment. It receives input such as facial expression data, voice data, and heart rate from the device and classifies emotions using a generative AI model. It provides output that adjusts the display method of the user interface according to the emotion.

[0792] Step 5:

[0793] If the user's death is confirmed, the server grants access rights to a previously designated recipient, simulating scenarios such as visiting the grave. Here, it receives authentication information stored in the database as input, and issues access rights after a recipient authentication procedure. The output is a confirmation notification of the access rights grant.

[0794] Step 6:

[0795] The server periodically checks the contract status and notifies the user of any necessary renewals. It takes contract information and the user's subscription status as input and generates a notification message suggesting available renewal plans as output. The notification's timing and wording are optimized based on sentiment evaluation.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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."

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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 as being incorporated by reference.

[0817] The following is further disclosed regarding the embodiments described above.

[0818] (Claim 1)

[0819] Means of registering personal information,

[0820] A means of encrypting and storing registered information,

[0821] Methods for organizing data using artificial intelligence,

[0822] A means of granting access rights to a designated beneficiary based on the death of a user,

[0823] A means of regularly checking the status of data and subscriptions,

[0824] A system that includes this.

[0825] (Claim 2)

[0826] The system according to claim 1, wherein the artificial intelligence categorizes the data and automatically deletes unnecessary information.

[0827] (Claim 3)

[0828] The system according to claim 1, which provides an authentication means for granting access rights to a recipient.

[0829] "Example 1"

[0830] (Claim 1)

[0831] Means of obtaining personal information,

[0832] A means for encrypting the acquired information and transmitting it to a central processing unit,

[0833] A means for storing encrypted information in a data storage device,

[0834] A means for analyzing and classifying stored information using artificial intelligence,

[0835] A means of granting information access rights to designated persons based on the death of a user,

[0836] Means for regularly checking and updating information and usage,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, wherein the artificial intelligence classifies information into multiple categories and automatically deletes redundant information.

[0840] (Claim 3)

[0841] The system according to claim 1, which provides an authentication means for granting access rights to information to relevant parties.

[0842] "Application Example 1"

[0843] (Claim 1)

[0844] Means of collecting personal information,

[0845] A means of encrypting and storing the collected information,

[0846] Methods for organizing data using machine learning techniques,

[0847] A means of granting access rights to a designated recipient depending on the circumstances of the user's death,

[0848] A means of regularly monitoring the subscription status,

[0849] A means of transmitting data to a management device in real time via a communication network,

[0850] A system that includes this.

[0851] (Claim 2)

[0852] The system according to claim 1, wherein the machine learning technology classifies data and automatically deletes unnecessary information.

[0853] (Claim 3)

[0854] The system according to claim 1, comprising means for providing authentication information when granting access rights to a recipient.

[0855] "Example 2 of combining an emotion engine"

[0856] (Claim 1)

[0857] Means of registering personal data,

[0858] A means of encrypting and storing registered data,

[0859] Methods for using machine learning algorithms to organize data,

[0860] A means of granting access rights to a designated recipient based on the death of a user,

[0861] A means of regularly checking data and contract status,

[0862] A means of analyzing biometric information and user behavior in order to infer emotions,

[0863] Means for optimizing the display and manipulation of data based on emotional information,

[0864] A system that includes this.

[0865] (Claim 2)

[0866] The system according to claim 1, wherein the machine learning algorithm classifies data and automatically deletes unnecessary data.

[0867] (Claim 3)

[0868] The system according to claim 1, which provides a means of verifying the identity of a recipient when granting them access rights.

[0869] "Application example 2 when combining with an emotional engine"

[0870] (Claim 1)

[0871] Means of registering personal data,

[0872] A means of encrypting and storing registered data,

[0873] A method for organizing information using machine learning,

[0874] A means of granting access rights to a designated recipient based on the death of a user,

[0875] A means of regularly checking information and contract status,

[0876] A means of analyzing the user's emotional state and dynamically optimizing the displayed content,

[0877] A system that includes this.

[0878] (Claim 2)

[0879] The system according to claim 1, wherein the machine learning classifies information and automatically deletes unnecessary data.

[0880] (Claim 3)

[0881] The system according to claim 1, which provides a means for verifying access rights to a recipient. [Explanation of symbols]

[0882] 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. Means of registering personal information, A means of encrypting and storing registered information, Methods for organizing data using artificial intelligence, A means of granting access rights to a designated beneficiary based on the death of a user, A means of regularly checking the status of data and subscriptions, A system that includes this.

2. The system according to claim 1, wherein the artificial intelligence categorizes the data and automatically deletes unnecessary information.

3. The system according to claim 1, which provides an authentication means for granting access rights to a recipient.

Images