system

Abstract

We provide the system. [Solution] A data processing means having a generation function that analyzes input information and automatically generates a document, A monitoring system that monitors the user's status based on acquired location data and detects abnormalities, A display means for presenting generated documents and anomaly detection alerts to users or administrators, 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 in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In an aging society, the number of adult guardians is insufficient, and due to the complexity of the system, it has become difficult to perform appropriate property management and legal responses. Furthermore, means for safety confirmation and abnormality detection of the elderly are also insufficient, and the current situation is that the workload of guardians is increasing. In order to solve these problems, the provision of an efficient and reliable system is required.

Means for Solving the Problems

[0005] The present invention solves the above problems by providing a data processing means having a generation function that analyzes input information and automatically generates documents, a monitoring means that monitors the user's status based on acquired location information data and detects abnormalities, and a display means that presents the generated documents and abnormality detection alerts to the user or administrator. This system makes it possible to efficiently and easily manage the assets and ensure the safety of the elderly, and reduces the workload of adult guardians.

[0006] "Input information" refers to data such as property information and personal information that users provide to the system, and processing is performed based on this information.

[0007] The "generation function" is a function that automatically creates legal documents and reports based on the entered information.

[0008] "Data processing means" refers to functional components in a system that analyze input information and perform necessary document generation or anomaly detection.

[0009] "Location data" refers to information that indicates the geographical location of a user, and is used for monitoring and safety checks.

[0010] A "monitoring method" is a function that monitors the user's status based on acquired location data and detects abnormal situations.

[0011] "Anomaly detection" is the process of identifying movements or states that deviate from a user's normal behavior patterns and issuing necessary alerts.

[0012] "Display means" refers to an interface for communicating generated documents and anomaly detection results to users and their administrators. [Brief explanation of the drawing]

[0013] [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] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It 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 Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0016] 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.

[0017] 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.

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

[0019] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0020] 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."

[0021] [First Embodiment]

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

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0028] 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.

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

[0030] 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.

[0031] 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.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention provides a system for efficiently managing the assets and ensuring the safety of elderly individuals, and includes data processing means, monitoring means, and display means. The specific program processing and implementation methods of this system are described below.

[0035] This system begins with users inputting asset information and data necessary for creating legal documents via their own devices. Using a dedicated application, users enter details of their assets and personal information, then press the submit button to send the information to the server.

[0036] Based on the information received, the server automatically generates necessary legal documents and reports using its built-in generation function. The generated documents are created in digital format and are formatted so that guardians and users can review them.

[0037] Furthermore, this system is equipped with a monitoring function to ensure the safety of elderly people. The server constantly receives location data, uses sensors and GPS technology to pinpoint their location, and immediately sends an alert if an anomaly is detected. This alert is sent to designated contacts, enabling a quick response.

[0038] Finally, the generated documents and anomaly detection alerts are provided to the user or guardian via the terminal. The terminal displays this information using a user-friendly interface, allowing users to easily access it and take necessary actions.

[0039] In this way, the system aims to significantly streamline the work of legal guardians and strengthen the protection of the property and rights of the elderly. It also generates new documents as needed and supports the user's life through safety checks utilizing location information.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches a dedicated app on their device and enters the necessary data for creating property information and legal documents. Once the input is complete, they press the submit button to transfer the information to the server.

[0043] Step 2:

[0044] The server receives data sent from the terminal. It analyzes the input information, standardizes the format as needed, and performs a process to verify its validity.

[0045] Step 3:

[0046] The server uses Gen-AX's generation function to automatically create legal documents and reports based on the received information. The generated documents are stored in a database and can be accessed later.

[0047] Step 4:

[0048] The server receives Agoop location data from the user's device and determines the user's current location. It monitors the location information and detects any deviations from the user's usual behavior patterns as an anomaly.

[0049] Step 5:

[0050] If the server detects an anomaly, it will quickly generate an alert and send a notification to the guardian's terminal. The alert will include details such as the type of anomaly and its location.

[0051] Step 6:

[0052] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The displayed information can be viewed and verified through the user interface.

[0053] Step 7:

[0054] Users can take necessary actions based on the content displayed on their device. Specifically, they can verify the content of documents or take countermeasures against detected anomalies.

[0055] (Example 1)

[0056] 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."

[0057] Systems for efficiently managing the assets and ensuring the safety of the elderly need to minimize user effort, generate legal documents quickly and accurately, and detect abnormal situations. However, current technologies have challenges such as the complexity of information input and the accuracy of anomaly detection. There is a need to reduce the burden on users while providing reliable support for the lives of the elderly.

[0058] 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.

[0059] In this invention, the server includes information processing means, monitoring means, and presentation means. This allows users to easily input information, generate legal documents accurately and quickly, and enable early detection of anomalies.

[0060] An "input terminal" is a device used by users to input and transmit information.

[0061] "Information processing means" refers to a system function that analyzes input information and automatically generates necessary documents.

[0062] A "monitoring method" is a function that monitors the user's status based on acquired location information and detects abnormalities.

[0063] "Presentation means" refers to a function that provides the generated document and anomaly detection notification to the user or administrator.

[0064] "Communication means" refers to functions for securely receiving and transmitting information necessary for document generation.

[0065] "Generative AI means" refers to a function that automatically generates legal documents from input information using machine learning models.

[0066] The system of this invention is primarily designed to streamline the management of assets and safety checks for the elderly. Specific embodiments of this system are described below.

[0067] First, the user accesses a dedicated application using an input terminal. This application is designed for Android® or iOS, and allows users to input property information and personal data. Once the information is entered, the data is sent to the server using the SSL / TLS protocol.

[0068] The server processes the received data and generates the necessary documents using information processing tools. This process analyzes data stored in a database using MySQL®. The generation AI tool automatically generates legal documents from the input information using machine learning models, such as customized versions of commonly known generation techniques. The generated documents are saved in PDF format.

[0069] Next, we will explain the functions for safety verification. The server receives location information of the user's device through monitoring means. Using GPS technology, it determines the location and immediately sends an anomaly detection notification to the administrator or designated contacts if any abnormal movement is detected.

[0070] The generated documents and anomaly detection notifications are presented to the user or guardian via the terminal. The terminal's GUI is based on the React Native framework and is designed to allow users to easily view documents and address anomaly notifications.

[0071] For example, if a user wants to create a new will using a generative AI model, they can enter a prompt like this: "Please create a draft of a new will based on my current financial situation. I want to distribute my assets equally among my grandchildren." This system can quickly and accurately generate a document based on the entered prompt.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The user launches a dedicated application and enters their login information. This authenticates their access to the system and displays their personal dashboard. The input data consists of the username and password, and an authentication token is issued as output.

[0075] Step 2:

[0076] Users enter asset information and personal data on the dashboard. This data includes details such as bank balances, property information, and contact details. This input data is sent in JSON format and stored on the server. As output, the data is stored in a MySQL database.

[0077] Step 3:

[0078] The server analyzes the received data. Using information processing tools, it calculates the total asset value and checks data integrity. This detects data errors and outputs alerts prompting the user to correct them. An accurate dataset is generated as output.

[0079] Step 4:

[0080] The server generates legal documents using generative AI. The input data consists of the user's financial information stored in a database and a prompt message (e.g., "Please create a will based on the current financial situation"). The generative AI model processes the input information and generates and saves the requested document in PDF format.

[0081] Step 5:

[0082] The server receives location information through monitoring devices and performs safety checks on elderly individuals. The input data is real-time location information from GPS devices. This is used to detect suspicious movements and deviations from normal patterns, and if an anomaly is detected, an alert is generated. As output, an anomaly detection notification is generated and sent to the designated emergency contact.

[0083] Step 6:

[0084] The terminal provides the user with generated legal documents and anomaly detection notifications. The user can review these outputs within the application and print or share the documents as needed. As output, the user's actions are logged.

[0085] (Application Example 1)

[0086] 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."

[0087] Ensuring the safety and managing the assets of the elderly requires rapid and efficient anomaly detection and the generation of necessary legal documents. However, current systems are inadequate in monitoring location information and notifying of anomalies. Furthermore, the creation of legal documents relies on manual processes, requiring a tremendous amount of time and effort. These challenges need to be overcome.

[0088] 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.

[0089] In this invention, the server includes information processing means for analyzing input information and automatically generating documents, monitoring means for monitoring the user's status based on acquired location information data and detecting abnormalities, display means for presenting the generated documents and abnormality detection alerts to the user or administrator, and warning means for sending notifications to registered communication destinations when an abnormality is detected. This enables real-time monitoring of the safety of the elderly, prompt response in the event of an abnormality, and efficient generation of necessary legal documents.

[0090] An "information processing means" is a system component that has the function of analyzing input data and automatically generating the necessary documents.

[0091] A "monitoring device" is an element that has the function of continuously acquiring location information data, monitoring the user's status, and detecting abnormalities.

[0092] A "display means" is a device equipped with the function of visually presenting generated documents and anomaly detection alerts to the user or administrator.

[0093] A "warning device" is a system component that has the function of sending a notification to a pre-registered communication destination when an abnormality is detected.

[0094] "Platform" is a term that refers to an integrated system that includes information processing means, monitoring means, display means, and warning means.

[0095] The present invention is implemented by a platform including information processing means, monitoring means, display means, and warning means.

[0096] The server first receives information entered by the user and stores it in a database. The information processing system analyzes this data and automatically generates the necessary legal documents using a generative AI model. The generative AI model used here creates documents in PDF format, utilizing libraries such as ReportLab.

[0097] The monitoring system acquires GPS data transmitted from the terminal and continuously monitors this location information received by the server. It uses the Google® Maps API to track the user's current location in real time and detects anomalies by comparing them with normal operating patterns.

[0098] If an anomaly is detected, the warning system will activate and send a push notification to pre-registered recipients via Firebase Cloud Messaging. This notification is intended to inform them that urgent action is required.

[0099] The generated documents and anomaly detection alerts are presented through a display mechanism on the terminal's user-friendly interface. This allows users and administrators to easily review this information and take necessary actions quickly.

[0100] For example, if an elderly person deviates significantly from their usual range of activity, this is detected as an anomaly, and a notification such as "Dad has strayed from his usual location" is sent to registered family members. Another example of a prompt to be input to the generating AI model is, "Monitor the daily activities of elderly people and notify if an anomaly is detected."

[0101] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0102] Step 1:

[0103] Users input and submit property information and necessary personal data through their devices. The entered data is structured in JSON format or similar and sent to the server.

[0104] Step 2:

[0105] The server saves the received user data to a database. This saving process uses SQL to store the data in the appropriate tables so that it can be accessed efficiently later.

[0106] Step 3:

[0107] The server analyzes stored data using a generative AI model and generates the necessary legal documents. Specifically, it uses the ReportLab library to create PDF documents based on the input data. The input is user data, and the output is the generated PDF document.

[0108] Step 4:

[0109] The server monitors the user's location based on GPS data received from the terminal. It uses the Google Maps API to check the location in real time and analyzes the data by comparing it to normal operating patterns to detect anomalies. The input is GPS data, and the output is information regarding the presence or absence of anomalies.

[0110] Step 5:

[0111] If an anomaly is detected, the server uses an alert mechanism to send a push notification to the registered recipient. This process utilizes Firebase Cloud Messaging and sends notifications using a pre-configured message format. The input is the anomaly information, and the output is the notification message sent to the recipient.

[0112] Step 6:

[0113] The server sends the generated documents and anomaly detection alerts to a display method suitable for the user's terminal. The display uses a user-friendly interface, allowing users to easily review the information. The input consists of the generated PDF documents and notification information, while the output is the display on the user interface.

[0114] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0115] This invention is a next-generation system that not only efficiently manages the assets and ensures the safety of the elderly, but also takes into account the user's emotional state. This system operates by combining data processing means, monitoring means, display means, and an emotion engine.

[0116] First, the user uses an application on their device to enter their property information and data required for legal documents. This data includes personal and detailed information and is sent to the server.

[0117] Upon receiving input data, the server automatically generates appropriate legal documents and reports using its generation capabilities. In this document generation process, not only the user's financial information but also their emotions, as recognized by the emotion engine, are considered, and the tone and content of the generated documents are adjusted accordingly. For example, if the user is feeling stressed, a document with a more relaxed tone will be generated.

[0118] In parallel, the server monitors the user's location based on Agoop's location information, and immediately detects any anomalies if there are unusual behavioral patterns or changes in location. Furthermore, the emotion engine analyzes the user's voice and video data, and if it detects abnormal emotional changes, it generates an alert in conjunction with the monitoring function. These alerts are sent to the guardian's terminal, enabling real-time response.

[0119] The terminal provides users and guardians with an interface for visually displaying generated documents and anomaly detection alerts. Users can review this display and, if necessary, modify documents or take action regarding detected anomalies.

[0120] In this way, this system not only manages the assets and safety of the elderly, but also takes into account the user's emotional state, enabling it to provide more human-centered support.

[0121] The following describes the processing flow.

[0122] Step 1:

[0123] The user launches the application installed on their device and enters property information and data necessary for creating legal documents into a form. After reviewing the entered information, they press the submit button to send it to the server.

[0124] Step 2:

[0125] The server receives user property information and personal data transmitted from the terminal. It then analyzes the received data and checks its accuracy and validity.

[0126] Step 3:

[0127] The server uses an emotion engine to analyze the user's voice or video data and identify the user's current emotional state. This information is taken into consideration during the generation process.

[0128] Step 4:

[0129] The server automatically generates legal documents and reports using its generation function, based on the analyzed information and emotional state. The generated documents are then formatted to match the user's emotional state.

[0130] Step 5:

[0131] The server identifies the user's current location via Agoop's location services and monitors for deviations from their usual behavioral patterns. If an anomaly is detected, it evaluates it, including anomalies related to changes in emotions.

[0132] Step 6:

[0133] If an anomaly is detected, the server will create a real-time anomaly detection alert and send a notification to the guardian or emergency contact. This alert will include the type of anomaly detected and its location.

[0134] Step 7:

[0135] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The user can review these and, if necessary, edit the document content or take emergency response measures based on the alerts.

[0136] (Example 2)

[0137] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0138] When managing the finances and ensuring the safety of elderly individuals, there is a growing need for methods that take into account the individual emotional state of each user to provide more appropriate and reassuring support. Furthermore, there is increasing demand for rapid detection of abnormal behavior or emotions in users and for real-time responses.

[0139] 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.

[0140] In this invention, the server includes an information processing device that analyzes input information and automatically generates documents based on the user's emotional state using a generation AI model; a monitoring device that monitors the user's state based on acquired location data and detects abnormalities in normal behavior patterns; and an information presentation device that presents the generated documents and abnormality detection alerts to the user or their representative via a display device. This enables personalized responses that take into account the user's emotions and rapid abnormality detection.

[0141] An "information processing device" is a device that analyzes input information and uses a generation AI model to automatically generate documents based on the user's emotional state.

[0142] A "generative AI model" is an artificial intelligence model that generates appropriate output based on input data and prompt text, and is particularly used for document generation that takes into account the user's emotional state.

[0143] "Emotional state" refers to the user's feelings and mental state, which is estimated based on various data and reflected in the tone and content of the document.

[0144] A "monitoring device" is a device that monitors the user's status based on acquired location data and detects abnormalities by comparing them with normal behavior patterns.

[0145] An "information presentation device" is a device that has the function of presenting generated documents and anomaly detection alerts to the user or their representative.

[0146] "Location data" refers to information about the user's current location and is used to detect movement patterns and anomalies.

[0147] An "anomaly detection alert" is a notification designed to promptly inform users of deviations from their normal behavioral patterns or emotional states.

[0148] An "agent" refers to a person who has the authority to manage and respond on behalf of the user, and often fulfills the role of a guardian or supporter.

[0149] This "Mode for Carrying Out the Invention" explains how the user, terminal, and server are involved and how the invention is specifically implemented.

[0150] The user launches the application using a dedicated terminal. The application collects detailed information entered by the user, such as property information, information required for legal documents, and emotional state. This information is transmitted to the server in an encrypted form.

[0151] The server stores the received data in a database and performs analysis using a generative AI model with an information processing device. The generative AI model automatically generates appropriate documents based on the user's emotional state using prompts. In this document generation process, adjustments are made, such as generating documents in a relaxed tone, based on signs of anxiety or stress shown by the user. For example, a possible prompt might be: "Please enter information about the real estate owned by the user and generate a property management report in a relaxed tone. The user's recent emotional state appears to be somewhat anxious."

[0152] Furthermore, the server utilizes monitoring devices to acquire location data and continuously monitor the user's location. This enables it to quickly detect deviations from normal behavior patterns and generate anomaly detection alerts. The server also analyzes audio and video data, and if it detects a sudden change in emotional state, it sends an alert to the guardian.

[0153] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. This allows the user to check their status and take appropriate action as needed. Through these steps, the system can provide users with peace of mind by enabling asset management and security checks tailored to individual needs.

[0154] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0155] Step 1:

[0156] The user launches the application on a dedicated terminal and enters data related to their assets and legal documents. The entered data includes personal details, asset status, and information about their emotional state. The terminal verifies this information, checks for formatting errors and other input errors, and sends it to the server as encrypted data.

[0157] Step 2:

[0158] The server saves the received data to a database. Based on the saved data, the information processing device uses a generation AI model to create prompt messages and automatically generates documents that reflect the user's emotional state. The input includes the user's financial information and emotional state, and the output includes generated legal documents and reports. For example, the generated documents will have a more relaxed tone depending on the user's stress level.

[0159] Step 3:

[0160] The server uses monitoring equipment to acquire user location data and continuously monitors daily behavior patterns. It receives current location information as input data and uses this to compare and evaluate it against normal movement patterns. If an anomaly is detected, the server immediately generates an anomaly detection alert and sends it to the relevant terminal.

[0161] Step 4:

[0162] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. The terminal presents this information clearly through a display interface, allowing the user to approve, modify, or take corrective action regarding the document based on the presented information.

[0163] (Application Example 2)

[0164] 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".

[0165] In managing the assets and ensuring the safety of the elderly, real-time anomaly detection that takes into account the user's emotions is a challenge. In particular, conventional systems have been unable to adequately respond to changes in the user's emotions, making rapid response in emergencies and anomalies difficult. Furthermore, there is a need for information technology products used by the elderly in their daily lives that offer user-friendly interfaces that they can use without difficulty.

[0166] 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.

[0167] In this invention, the server includes data processing means having a generation function that analyzes input information and automatically generates documents, monitoring means that monitors the user's state based on acquired location information data and detects abnormalities, and emotion analysis means that analyzes the user's emotional state and detects abnormal emotional changes. This makes it possible to consider the user's emotions in real time and respond quickly based on abnormality detection in the property management and safety checks of the elderly.

[0168] "Data processing means" refers to a device or system equipped with the function of analyzing input information and automatically generating documents according to the purpose.

[0169] "Monitoring means" refers to a device or system that uses data such as location information to monitor the user's state in real time and detect deviations from normal behavioral patterns.

[0170] "Display means" refers to a device or system that provides an interface for visually displaying generated documents and anomaly detection alerts, enabling users and administrators to easily recognize and respond to them.

[0171] "Emotional analysis means" refers to a device or system equipped with the function of analyzing a user's voice data and video data to identify their current emotional state and detect abnormal emotional changes.

[0172] A "notification device" is a device or system that distributes information about detected abnormal behavior or emotional changes to external parties in real time to encourage a prompt response.

[0173] This system primarily consists of a server, a terminal, and a user. First, the user inputs property information and necessary legal document data using a dedicated terminal. This terminal provides a simple and user-friendly interface, designed to be intuitive even for the elderly. The data is sent to the server, which analyzes the input information using data processing tools and automatically generates documents using a generative AI model. The generated documents are adjusted, for example, according to the user's current emotional state, and this information is obtained through emotion analysis tools.

[0174] The server also uses monitoring devices to monitor user location data in real time and detect deviations from normal behavior patterns. If anomalies or emotional changes are detected, relevant information is promptly sent to external parties via notification devices, enabling quick and appropriate responses. These notifications are received by administrators and family members via the device, prompting them to take necessary actions.

[0175] For example, if an elderly person visits an unfamiliar location or if a worrying change in their emotional state is detected, the system automatically notifies pre-designated family members or caregivers. An example of a prompt message in this case would be, "Monitor the elderly person's location and emotional state, and generate an alert if any abnormal behavior is detected." This ensures greater safety for the elderly.

[0176] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0177] Step 1:

[0178] The user operates the terminal to input property information and necessary legal document data. The terminal sends the entered data to the server. The input data includes text information and numerical information. The transmitted data is appropriately formatted for use in subsequent processing.

[0179] Step 2:

[0180] The server analyzes the received data using data processing tools. Specifically, it decomposes the input information and extracts the necessary elements. This analysis creates a dataset for use by the generative AI model. Based on this dataset, the generative AI model automatically generates legal documents and reports. As a result of this document generation process, customized documents are output.

[0181] Step 3:

[0182] To complement the generated document, the server utilizes sentiment analysis tools to evaluate the user's emotional state. This process involves inputting user audio and video data, which is then analyzed by the sentiment engine. Based on the emotional state determined by the analysis, the tone of the generated document is adjusted. As a result, an emotionally sensitive document is output.

[0183] Step 4:

[0184] The server analyzes the acquired location data using monitoring devices to monitor the user's location. Based on general location data, a user's normal behavior pattern is defined, and anomalies are detected by comparing the current location to this pattern. If an anomaly is detected as a result of this process, an alert is generated.

[0185] Step 5:

[0186] Based on anomaly detection and sentiment analysis results, the server uses notification mechanisms to send relevant information to external parties. The notification may include specific details of the anomaly and recommended actions. This should enable parties to respond quickly. As a result of the notification, external parties receive information to guide their actions.

[0187] 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.

[0188] 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.

[0189] 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.

[0190] [Second Embodiment]

[0191] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0192] 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.

[0193] 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).

[0194] 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.

[0195] 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.

[0196] 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).

[0197] 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.

[0198] 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.

[0199] The specific processing program 56 is an example of a "program" relating 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 in accordance with the specific processing program 56 executed on the RAM 30.

[0200] 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.

[0201] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the 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 the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0202] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0203] This invention provides a system for efficiently managing the assets and ensuring the safety of elderly individuals, and includes data processing means, monitoring means, and display means. The specific program processing and implementation methods of this system are described below.

[0204] This system begins with users inputting asset information and data necessary for creating legal documents via their own devices. Using a dedicated application, users enter details of their assets and personal information, then press the submit button to send the information to the server.

[0205] Based on the information received, the server automatically generates necessary legal documents and reports using its built-in generation function. The generated documents are created in digital format and are formatted so that guardians and users can review them.

[0206] Furthermore, this system is equipped with a monitoring function to ensure the safety of elderly people. The server constantly receives location data, uses sensors and GPS technology to pinpoint their location, and immediately sends an alert if an anomaly is detected. This alert is sent to designated contacts, enabling a quick response.

[0207] Finally, the generated documents and anomaly detection alerts are provided to the user or guardian via the terminal. The terminal displays this information using a user-friendly interface, allowing users to easily access it and take necessary actions.

[0208] In this way, the system aims to significantly streamline the work of legal guardians and strengthen the protection of the property and rights of the elderly. It also generates new documents as needed and supports the user's life through safety checks utilizing location information.

[0209] The following describes the processing flow.

[0210] Step 1:

[0211] The user launches a dedicated app on their device and enters the necessary data for creating property information and legal documents. Once the input is complete, they press the submit button to transfer the information to the server.

[0212] Step 2:

[0213] The server receives data sent from the terminal. It analyzes the input information, standardizes the format as needed, and performs a process to verify its validity.

[0214] Step 3:

[0215] The server uses Gen-AX's generation function to automatically create legal documents and reports based on the received information. The generated documents are stored in a database and can be accessed later.

[0216] Step 4:

[0217] The server receives Agoop location data from the user's device and determines the user's current location. It monitors the location information and detects any deviations from the user's usual behavior patterns as an anomaly.

[0218] Step 5:

[0219] If the server detects an anomaly, it will quickly generate an alert and send a notification to the guardian's terminal. The alert will include details such as the type of anomaly and its location.

[0220] Step 6:

[0221] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The displayed information can be viewed and verified through the user interface.

[0222] Step 7:

[0223] Users can take necessary actions based on the content displayed on their device. Specifically, they can verify the content of documents or take countermeasures against detected anomalies.

[0224] (Example 1)

[0225] 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."

[0226] Systems for efficiently managing the assets and ensuring the safety of the elderly need to minimize user effort, generate legal documents quickly and accurately, and detect abnormal situations. However, current technologies have challenges such as the complexity of information input and the accuracy of anomaly detection. There is a need to reduce the burden on users while providing reliable support for the lives of the elderly.

[0227] 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.

[0228] In this invention, the server includes information processing means, monitoring means, and presentation means. This allows users to easily input information, generate legal documents accurately and quickly, and enable early detection of anomalies.

[0229] An "input terminal" is a device used by users to input and transmit information.

[0230] "Information processing means" refers to a system function that analyzes input information and automatically generates necessary documents.

[0231] A "monitoring method" is a function that monitors the user's status based on acquired location information and detects abnormalities.

[0232] "Presentation means" refers to a function that provides the generated document and anomaly detection notification to the user or administrator.

[0233] "Communication means" refers to functions for securely receiving and transmitting information necessary for document generation.

[0234] "Generative AI means" refers to a function that automatically generates legal documents from input information using machine learning models.

[0235] The system of this invention is primarily designed to streamline the management of assets and safety checks for the elderly. Specific embodiments of this system are described below.

[0236] First, the user accesses a dedicated application using an input terminal. This application is designed for Android or iOS, and users can input property information and personal data. Once the information is entered, the data is sent to the server using the SSL / TLS protocol.

[0237] The server processes the received data and generates the necessary documents using information processing tools. This process involves analyzing data stored in a MySQL database. The generation AI uses machine learning models, such as customized versions of commonly known generation techniques, to automatically generate legal documents from the input information. The generated documents are saved in PDF format.

[0238] Next, we will explain the functions for safety verification. The server receives location information of the user's device through monitoring means. Using GPS technology, it determines the location and immediately sends an anomaly detection notification to the administrator or designated contacts if any abnormal movement is detected.

[0239] The generated documents and anomaly detection notifications are presented to the user or guardian via the terminal. The terminal's GUI is based on the React Native framework and is designed to allow users to easily view documents and address anomaly notifications.

[0240] For example, if a user wants to create a new will using a generative AI model, they can enter a prompt like this: "Please create a draft of a new will based on my current financial situation. I want to distribute my assets equally among my grandchildren." This system can quickly and accurately generate a document based on the entered prompt.

[0241] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0242] Step 1:

[0243] The user launches a dedicated application and enters their login information. This authenticates their access to the system and displays their personal dashboard. The input data consists of the username and password, and an authentication token is issued as output.

[0244] Step 2:

[0245] Users enter asset information and personal data on the dashboard. This data includes details such as bank balances, property information, and contact details. This input data is sent in JSON format and stored on the server. As output, the data is stored in a MySQL database.

[0246] Step 3:

[0247] The server analyzes the received data. Using information processing tools, it calculates the total asset value and checks data integrity. This detects data errors and outputs alerts prompting the user to correct them. An accurate dataset is generated as output.

[0248] Step 4:

[0249] The server generates legal documents using generative AI. The input data consists of the user's financial information stored in a database and a prompt message (e.g., "Please create a will based on the current financial situation"). The generative AI model processes the input information and generates and saves the requested document in PDF format.

[0250] Step 5:

[0251] The server receives location information through monitoring devices and performs safety checks on elderly individuals. The input data is real-time location information from GPS devices. This is used to detect suspicious movements and deviations from normal patterns, and if an anomaly is detected, an alert is generated. As output, an anomaly detection notification is generated and sent to the designated emergency contact.

[0252] Step 6:

[0253] The terminal provides the user with generated legal documents and anomaly detection notifications. The user can review these outputs within the application and print or share the documents as needed. As output, the user's actions are logged.

[0254] (Application Example 1)

[0255] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0256] Ensuring the safety and managing the assets of the elderly requires rapid and efficient anomaly detection and the generation of necessary legal documents. However, current systems are inadequate in monitoring location information and notifying of anomalies. Furthermore, the creation of legal documents relies on manual processes, requiring a tremendous amount of time and effort. These challenges need to be overcome.

[0257] 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.

[0258] In this invention, the server includes information processing means for analyzing input information and automatically generating documents, monitoring means for monitoring the user's status based on acquired location information data and detecting abnormalities, display means for presenting the generated documents and abnormality detection alerts to the user or administrator, and warning means for sending notifications to registered communication destinations when an abnormality is detected. This enables real-time monitoring of the safety of the elderly, prompt response in the event of an abnormality, and efficient generation of necessary legal documents.

[0259] An "information processing means" is a system component that has the function of analyzing input data and automatically generating the necessary documents.

[0260] A "monitoring device" is an element that has the function of continuously acquiring location information data, monitoring the user's status, and detecting abnormalities.

[0261] A "display means" is a device equipped with the function of visually presenting generated documents and anomaly detection alerts to the user or administrator.

[0262] A "warning device" is a system component that has the function of sending a notification to a pre-registered communication destination when an abnormality is detected.

[0263] "Platform" is a term that refers to an integrated system that includes information processing means, monitoring means, display means, and warning means.

[0264] The present invention is implemented by a platform including information processing means, monitoring means, display means, and warning means.

[0265] The server first receives information entered by the user and stores it in a database. The information processing system analyzes this data and automatically generates the necessary legal documents using a generative AI model. The generative AI model used here creates documents in PDF format, utilizing libraries such as ReportLab.

[0266] The monitoring system acquires GPS data transmitted from the terminal and continuously monitors this location information received by the server. It uses the Google Maps API to track the user's current location in real time and detects anomalies by comparing them with normal operating patterns.

[0267] If an anomaly is detected, the warning system will activate and send a push notification to pre-registered recipients via Firebase Cloud Messaging. This notification is intended to inform them that urgent action is required.

[0268] The generated documents and anomaly detection alerts are presented through a display mechanism on the terminal's user-friendly interface. This allows users and administrators to easily review this information and take necessary actions quickly.

[0269] For example, if an elderly person deviates significantly from their usual range of activity, this is detected as an anomaly, and a notification such as "Dad has strayed from his usual location" is sent to registered family members. Another example of a prompt to be input to the generating AI model is, "Monitor the daily activities of elderly people and notify if an anomaly is detected."

[0270] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0271] Step 1:

[0272] Users input and submit property information and necessary personal data through their devices. The entered data is structured in JSON format or similar and sent to the server.

[0273] Step 2:

[0274] The server saves the received user data to a database. This saving process uses SQL to store the data in the appropriate tables so that it can be accessed efficiently later.

[0275] Step 3:

[0276] The server analyzes stored data using a generative AI model and generates the necessary legal documents. Specifically, it uses the ReportLab library to create PDF documents based on the input data. The input is user data, and the output is the generated PDF document.

[0277] Step 4:

[0278] The server monitors the user's location information based on the GPS data received from the terminal. It uses the Google Maps API to check the location in real time and analyzes the data by comparing it with the normal operation pattern to detect abnormalities. The input is the GPS data, and the output is information regarding the presence or absence of abnormalities.

[0279] Step 5:

[0280] If an abnormality is detected, the server uses a warning means to send a push notification to the registered communication destination. In this process, Firebase Cloud Messaging is utilized, and the notification is sent using a pre-set message format. The input is the abnormality information, and the output is the notification message to the communication destination.

[0281] Step 6:

[0282] The server sends the generated document and the abnormality detection alert to the display means suitable for the user's terminal. The display is performed in a user-friendly interface, and the user can easily check the information. The input is the generated PDF document and the notification information, and the output is the display on the user interface.

[0283] 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 identification model 59 and perform specific processing using the user's emotion.

[0284] The present invention is not only a next-generation system that efficiently manages the property and confirms the safety of the elderly, but also takes into account the user's emotional state. This system operates by combining data processing means, monitoring means, display means, and an emotion engine.

[0285] First, the user uses an application on the terminal to input their property information and the data necessary for legal documents. This data includes personal and detailed information and is sent to the server.

[0286] When the server receives the input data, it makes full use of the generation function to automatically generate appropriate legal documents and reports. In this document generation process, not only the user's property information but also the emotions recognized by the emotion engine are considered, and the tone and content of the generated document are adjusted. For example, when the user is feeling stressed, a document with a more relaxed tone is generated.

[0287] In parallel, the server monitors the user's location status based on the location information of Agoop and immediately detects any abnormalities if there are any behavioral patterns or location movements different from usual. Furthermore, when the emotion engine analyzes the user's voice data and video data and detects abnormal emotional changes, it generates an alert in cooperation with the monitoring function. These alerts are sent to the guardian's terminal, enabling real-time response.

[0288] The terminal provides an interface for visually displaying the generated documents and alerts for abnormal detection to the user and the guardian. The user can check the display content and, if necessary, make corrections to the document or respond to the abnormal detection.

[0289] In this way, this system can not only simply manage the property and safety of the elderly but also provide more user-friendly support by considering the user's emotional state.

[0290] The following describes the processing flow.

[0291] Step 1:

[0292] The user launches the application installed on the terminal and enters the property information and data required for legal document creation into the form. The entered information is confirmed, and the send button for transmitting it to the server is pressed.

[0293] Step 2:

[0294] The server receives user property information and personal data transmitted from the terminal. It then analyzes the received data and checks its accuracy and validity.

[0295] Step 3:

[0296] The server uses an emotion engine to analyze the user's voice or video data and identify the user's current emotional state. This information is taken into consideration during the generation process.

[0297] Step 4:

[0298] The server automatically generates legal documents and reports using its generation function, based on the analyzed information and emotional state. The generated documents are then formatted to match the user's emotional state.

[0299] Step 5:

[0300] The server identifies the user's current location via Agoop's location services and monitors for deviations from their usual behavioral patterns. If an anomaly is detected, it evaluates it, including anomalies related to changes in emotions.

[0301] Step 6:

[0302] If an anomaly is detected, the server will create a real-time anomaly detection alert and send a notification to the guardian or emergency contact. This alert will include the type of anomaly detected and its location.

[0303] Step 7:

[0304] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The user can review these and, if necessary, edit the document content or take emergency response measures based on the alerts.

[0305] (Example 2)

[0306] Next, Example 2 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".

[0307] When managing the property and confirming the safety of the elderly, there is a need for a method that takes into account the individual emotional states of users and provides more appropriate and reassuring support. There is also an increasing demand for quickly detecting abnormalities in users' behaviors and emotions and responding in real time.

[0308] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0309] In this invention, the server includes an information processing device that analyzes input information and automatically generates a document based on the emotional state of the user using a generated AI model, a monitoring device that monitors the state of the user based on the acquired position data and detects abnormalities with respect to the normal behavior pattern, and an information presentation device that presents the generated document and the abnormality detection alert to the user or the agent through a display device. Thereby, individualized response considering the emotions of the user and rapid abnormality detection become possible.

[0310] The "information processing device" is a device having a function of analyzing input information and automatically generating a document based on the emotional state of the user using a generated AI model.

[0311] The "generated AI model" is an artificial intelligence model that generates an appropriate output based on input data and a prompt sentence and is used for document generation considering the emotional state of the user in particular.

[0312] The "emotional state" refers to the emotion and mental state of the user, and the state is estimated based on various data and reflected in the tone and content of the document.

[0313] The "monitoring device" is a device that monitors the state of the user based on the acquired position data and detects abnormalities by comparing with the normal behavior pattern.

[0314] An "information presentation device" is a device that has the function of presenting generated documents and anomaly detection alerts to the user or their representative.

[0315] "Location data" refers to information about the user's current location and is used to detect movement patterns and anomalies.

[0316] An "anomaly detection alert" is a notification designed to promptly inform users of deviations from their normal behavioral patterns or emotional states.

[0317] An "agent" refers to a person who has the authority to manage and respond on behalf of the user, and often fulfills the role of a guardian or supporter.

[0318] This "Mode for Carrying Out the Invention" explains how the user, terminal, and server are involved and how the invention is specifically implemented.

[0319] The user launches the application using a dedicated terminal. The application collects detailed information entered by the user, such as property information, information required for legal documents, and emotional state. This information is transmitted to the server in an encrypted form.

[0320] The server stores the received data in a database and performs analysis using a generative AI model with an information processing device. The generative AI model automatically generates appropriate documents based on the user's emotional state using prompts. In this document generation process, adjustments are made, such as generating documents in a relaxed tone, based on signs of anxiety or stress shown by the user. For example, a possible prompt might be: "Please enter information about the real estate owned by the user and generate a property management report in a relaxed tone. The user's recent emotional state appears to be somewhat anxious."

[0321] Furthermore, the server utilizes monitoring devices to acquire location data and continuously monitor the user's location. This enables it to quickly detect deviations from normal behavior patterns and generate anomaly detection alerts. The server also analyzes audio and video data, and if it detects a sudden change in emotional state, it sends an alert to the guardian.

[0322] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. This allows the user to check their status and take appropriate action as needed. Through these steps, the system can provide users with peace of mind by enabling asset management and security checks tailored to individual needs.

[0323] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0324] Step 1:

[0325] The user launches the application on a dedicated terminal and enters data related to their assets and legal documents. The entered data includes personal details, asset status, and information about their emotional state. The terminal verifies this information, checks for formatting errors and other input errors, and sends it to the server as encrypted data.

[0326] Step 2:

[0327] The server saves the received data to a database. Based on the saved data, the information processing device uses a generation AI model to create prompt messages and automatically generates documents that reflect the user's emotional state. The input includes the user's financial information and emotional state, and the output includes generated legal documents and reports. For example, the generated documents will have a more relaxed tone depending on the user's stress level.

[0328] Step 3:

[0329] The server uses monitoring equipment to acquire user location data and continuously monitors daily behavior patterns. It receives current location information as input data and uses this to compare and evaluate it against normal movement patterns. If an anomaly is detected, the server immediately generates an anomaly detection alert and sends it to the relevant terminal.

[0330] Step 4:

[0331] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. The terminal presents this information clearly through a display interface, allowing the user to approve, modify, or take corrective action regarding the document based on the presented information.

[0332] (Application Example 2)

[0333] 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."

[0334] In managing the assets and ensuring the safety of the elderly, real-time anomaly detection that takes into account the user's emotions is a challenge. In particular, conventional systems have been unable to adequately respond to changes in the user's emotions, making rapid response in emergencies and anomalies difficult. Furthermore, there is a need for information technology products used by the elderly in their daily lives that offer user-friendly interfaces that they can use without difficulty.

[0335] 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.

[0336] In this invention, the server includes data processing means having a generation function that analyzes input information and automatically generates documents, monitoring means that monitors the user's state based on acquired location information data and detects abnormalities, and emotion analysis means that analyzes the user's emotional state and detects abnormal emotional changes. This makes it possible to consider the user's emotions in real time and respond quickly based on abnormality detection in the property management and safety checks of the elderly.

[0337] "Data processing means" refers to a device or system equipped with the function of analyzing input information and automatically generating documents according to the purpose.

[0338] "Monitoring means" refers to a device or system that uses data such as location information to monitor the user's state in real time and detect deviations from normal behavioral patterns.

[0339] "Display means" refers to a device or system that provides an interface for visually displaying generated documents and anomaly detection alerts, enabling users and administrators to easily recognize and respond to them.

[0340] "Emotional analysis means" refers to a device or system equipped with the function of analyzing a user's voice data and video data to identify their current emotional state and detect abnormal emotional changes.

[0341] A "notification device" is a device or system that distributes information about detected abnormal behavior or emotional changes to external parties in real time to encourage a prompt response.

[0342] This system primarily consists of a server, a terminal, and a user. First, the user inputs property information and necessary legal document data using a dedicated terminal. This terminal provides a simple and user-friendly interface, designed to be intuitive even for the elderly. The data is sent to the server, which analyzes the input information using data processing tools and automatically generates documents using a generative AI model. The generated documents are adjusted, for example, according to the user's current emotional state, and this information is obtained through emotion analysis tools.

[0343] The server also uses monitoring devices to monitor user location data in real time and detect deviations from normal behavior patterns. If anomalies or emotional changes are detected, relevant information is promptly sent to external parties via notification devices, enabling quick and appropriate responses. These notifications are received by administrators and family members via the device, prompting them to take necessary actions.

[0344] For example, if an elderly person visits an unfamiliar location or if a worrying change in their emotional state is detected, the system automatically notifies pre-designated family members or caregivers. An example of a prompt message in this case would be, "Monitor the elderly person's location and emotional state, and generate an alert if any abnormal behavior is detected." This ensures greater safety for the elderly.

[0345] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0346] Step 1:

[0347] The user operates the terminal to input property information and necessary legal document data. The terminal sends the entered data to the server. The input data includes text information and numerical information. The transmitted data is appropriately formatted for use in subsequent processing.

[0348] Step 2:

[0349] The server analyzes the received data using data processing tools. Specifically, it decomposes the input information and extracts the necessary elements. This analysis creates a dataset for use by the generative AI model. Based on this dataset, the generative AI model automatically generates legal documents and reports. As a result of this document generation process, customized documents are output.

[0350] Step 3:

[0351] To complement the generated document, the server utilizes sentiment analysis tools to evaluate the user's emotional state. This process involves inputting user audio and video data, which is then analyzed by the sentiment engine. Based on the emotional state determined by the analysis, the tone of the generated document is adjusted. As a result, an emotionally sensitive document is output.

[0352] Step 4:

[0353] The server analyzes the acquired location data using monitoring devices to monitor the user's location. Based on general location data, a user's normal behavior pattern is defined, and anomalies are detected by comparing the current location to this pattern. If an anomaly is detected as a result of this process, an alert is generated.

[0354] Step 5:

[0355] Based on anomaly detection and sentiment analysis results, the server uses notification mechanisms to send relevant information to external parties. The notification may include specific details of the anomaly and recommended actions. This should enable parties to respond quickly. As a result of the notification, external parties receive information to guide their actions.

[0356] 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.

[0357] 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.

[0358] 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.

[0359] [Third Embodiment]

[0360] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0361] 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.

[0362] 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).

[0363] 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.

[0364] 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.

[0365] 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).

[0366] 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.

[0367] 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.

[0368] The specific processing program 56 is an example of a "program" relating 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 in accordance with the specific processing program 56 executed on the RAM 30.

[0369] 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.

[0370] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the 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 the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0371] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0372] This invention provides a system for efficiently managing the assets and ensuring the safety of elderly individuals, and includes data processing means, monitoring means, and display means. The specific program processing and implementation methods of this system are described below.

[0373] This system begins with users inputting asset information and data necessary for creating legal documents via their own devices. Using a dedicated application, users enter details of their assets and personal information, then press the submit button to send the information to the server.

[0374] Based on the information received, the server automatically generates necessary legal documents and reports using its built-in generation function. The generated documents are created in digital format and are formatted so that guardians and users can review them.

[0375] Furthermore, this system is equipped with a monitoring function to ensure the safety of elderly people. The server constantly receives location data, uses sensors and GPS technology to pinpoint their location, and immediately sends an alert if an anomaly is detected. This alert is sent to designated contacts, enabling a quick response.

[0376] Finally, the generated documents and anomaly detection alerts are provided to the user or guardian via the terminal. The terminal displays this information using a user-friendly interface, allowing users to easily access it and take necessary actions.

[0377] In this way, the system aims to significantly streamline the work of legal guardians and strengthen the protection of the property and rights of the elderly. It also generates new documents as needed and supports the user's life through safety checks utilizing location information.

[0378] The following describes the processing flow.

[0379] Step 1:

[0380] The user launches a dedicated app on their device and enters the necessary data for creating property information and legal documents. Once the input is complete, they press the submit button to transfer the information to the server.

[0381] Step 2:

[0382] The server receives data sent from the terminal. It analyzes the input information, standardizes the format as needed, and performs a process to verify its validity.

[0383] Step 3:

[0384] The server uses Gen-AX's generation function to automatically create legal documents and reports based on the received information. The generated documents are stored in a database and can be accessed later.

[0385] Step 4:

[0386] The server receives Agoop location data from the user's device and determines the user's current location. It monitors the location information and detects any deviations from the user's usual behavior patterns as an anomaly.

[0387] Step 5:

[0388] If the server detects an anomaly, it will quickly generate an alert and send a notification to the guardian's terminal. The alert will include details such as the type of anomaly and its location.

[0389] Step 6:

[0390] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The displayed information can be viewed and verified through the user interface.

[0391] Step 7:

[0392] Users can take necessary actions based on the content displayed on their device. Specifically, they can verify the content of documents or take countermeasures against detected anomalies.

[0393] (Example 1)

[0394] 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."

[0395] Systems for efficiently managing the assets and ensuring the safety of the elderly need to minimize user effort, generate legal documents quickly and accurately, and detect abnormal situations. However, current technologies have challenges such as the complexity of information input and the accuracy of anomaly detection. There is a need to reduce the burden on users while providing reliable support for the lives of the elderly.

[0396] 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.

[0397] In this invention, the server includes information processing means, monitoring means, and presentation means. This allows users to easily input information, generate legal documents accurately and quickly, and enable early detection of anomalies.

[0398] An "input terminal" is a device used by users to input and transmit information.

[0399] "Information processing means" refers to a system function that analyzes input information and automatically generates necessary documents.

[0400] A "monitoring method" is a function that monitors the user's status based on acquired location information and detects abnormalities.

[0401] "Presentation means" refers to a function that provides the generated document and anomaly detection notification to the user or administrator.

[0402] "Communication means" refers to functions for securely receiving and transmitting information necessary for document generation.

[0403] "Generative AI means" refers to a function that automatically generates legal documents from input information using machine learning models.

[0404] The system of this invention is primarily designed to streamline the management of assets and safety checks for the elderly. Specific embodiments of this system are described below.

[0405] First, the user accesses a dedicated application using an input terminal. This application is designed for Android or iOS, and users can input property information and personal data. Once the information is entered, the data is sent to the server using the SSL / TLS protocol.

[0406] The server processes the received data and generates the necessary documents using information processing tools. This process involves analyzing data stored in a MySQL database. The generation AI uses machine learning models, such as customized versions of commonly known generation techniques, to automatically generate legal documents from the input information. The generated documents are saved in PDF format.

[0407] Next, we will explain the functions for safety verification. The server receives location information of the user's device through monitoring means. Using GPS technology, it determines the location and immediately sends an anomaly detection notification to the administrator or designated contacts if any abnormal movement is detected.

[0408] The generated documents and anomaly detection notifications are presented to the user or guardian via the terminal. The terminal's GUI is based on the React Native framework and is designed to allow users to easily view documents and address anomaly notifications.

[0409] For example, if a user wants to create a new will using a generative AI model, they can enter a prompt like this: "Please create a draft of a new will based on my current financial situation. I want to distribute my assets equally among my grandchildren." This system can quickly and accurately generate a document based on the entered prompt.

[0410] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0411] Step 1:

[0412] The user launches a dedicated application and enters their login information. This authenticates their access to the system and displays their personal dashboard. The input data consists of the username and password, and an authentication token is issued as output.

[0413] Step 2:

[0414] Users enter asset information and personal data on the dashboard. This data includes details such as bank balances, property information, and contact details. This input data is sent in JSON format and stored on the server. As output, the data is stored in a MySQL database.

[0415] Step 3:

[0416] The server analyzes the received data. Using information processing tools, it calculates the total asset value and checks data integrity. This detects data errors and outputs alerts prompting the user to correct them. An accurate dataset is generated as output.

[0417] Step 4:

[0418] The server generates legal documents using generative AI. The input data consists of the user's financial information stored in a database and a prompt message (e.g., "Please create a will based on the current financial situation"). The generative AI model processes the input information and generates and saves the requested document in PDF format.

[0419] Step 5:

[0420] The server receives location information through monitoring devices and performs safety checks on elderly individuals. The input data is real-time location information from GPS devices. This is used to detect suspicious movements and deviations from normal patterns, and if an anomaly is detected, an alert is generated. As output, an anomaly detection notification is generated and sent to the designated emergency contact.

[0421] Step 6:

[0422] The terminal provides the user with generated legal documents and anomaly detection notifications. The user can review these outputs within the application and print or share the documents as needed. As output, the user's actions are logged.

[0423] (Application Example 1)

[0424] 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."

[0425] Ensuring the safety and managing the assets of the elderly requires rapid and efficient anomaly detection and the generation of necessary legal documents. However, current systems are inadequate in monitoring location information and notifying of anomalies. Furthermore, the creation of legal documents relies on manual processes, requiring a tremendous amount of time and effort. These challenges need to be overcome.

[0426] 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.

[0427] In this invention, the server includes information processing means for analyzing input information and automatically generating documents, monitoring means for monitoring the user's status based on acquired location information data and detecting abnormalities, display means for presenting the generated documents and abnormality detection alerts to the user or administrator, and warning means for sending notifications to registered communication destinations when an abnormality is detected. This enables real-time monitoring of the safety of the elderly, prompt response in the event of an abnormality, and efficient generation of necessary legal documents.

[0428] An "information processing means" is a system component that has the function of analyzing input data and automatically generating the necessary documents.

[0429] A "monitoring device" is an element that has the function of continuously acquiring location information data, monitoring the user's status, and detecting abnormalities.

[0430] A "display means" is a device equipped with the function of visually presenting generated documents and anomaly detection alerts to the user or administrator.

[0431] A "warning device" is a system component that has the function of sending a notification to a pre-registered communication destination when an abnormality is detected.

[0432] "Platform" is a term that refers to an integrated system that includes information processing means, monitoring means, display means, and warning means.

[0433] The present invention is implemented by a platform including information processing means, monitoring means, display means, and warning means.

[0434] The server first receives information entered by the user and stores it in a database. The information processing system analyzes this data and automatically generates the necessary legal documents using a generative AI model. The generative AI model used here creates documents in PDF format, utilizing libraries such as ReportLab.

[0435] The monitoring system acquires GPS data transmitted from the terminal and continuously monitors this location information received by the server. It uses the Google Maps API to track the user's current location in real time and detects anomalies by comparing them with normal operating patterns.

[0436] If an anomaly is detected, the warning system will activate and send a push notification to pre-registered recipients via Firebase Cloud Messaging. This notification is intended to inform them that urgent action is required.

[0437] The generated documents and anomaly detection alerts are presented through a display mechanism on the terminal's user-friendly interface. This allows users and administrators to easily review this information and take necessary actions quickly.

[0438] For example, if an elderly person deviates significantly from their usual range of activity, this is detected as an anomaly, and a notification such as "Dad has strayed from his usual location" is sent to registered family members. Another example of a prompt to be input to the generating AI model is, "Monitor the daily activities of elderly people and notify if an anomaly is detected."

[0439] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0440] Step 1:

[0441] Users input and submit property information and necessary personal data through their devices. The entered data is structured in JSON format or similar and sent to the server.

[0442] Step 2:

[0443] The server saves the received user data to a database. This saving process uses SQL to store the data in the appropriate tables so that it can be accessed efficiently later.

[0444] Step 3:

[0445] The server analyzes stored data using a generative AI model and generates the necessary legal documents. Specifically, it uses the ReportLab library to create PDF documents based on the input data. The input is user data, and the output is the generated PDF document.

[0446] Step 4:

[0447] The server monitors the user's location based on GPS data received from the terminal. It uses the Google Maps API to check the location in real time and analyzes the data by comparing it to normal operating patterns to detect anomalies. The input is GPS data, and the output is information regarding the presence or absence of anomalies.

[0448] Step 5:

[0449] If an anomaly is detected, the server uses an alert mechanism to send a push notification to the registered recipient. This process utilizes Firebase Cloud Messaging and sends notifications using a pre-configured message format. The input is the anomaly information, and the output is the notification message sent to the recipient.

[0450] Step 6:

[0451] The server sends the generated documents and anomaly detection alerts to a display method suitable for the user's terminal. The display uses a user-friendly interface, allowing users to easily review the information. The input consists of the generated PDF documents and notification information, while the output is the display on the user interface.

[0452] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0453] This invention is a next-generation system that not only efficiently manages the assets and ensures the safety of the elderly, but also takes into account the user's emotional state. This system operates by combining data processing means, monitoring means, display means, and an emotion engine.

[0454] First, the user uses an application on their device to enter their property information and data required for legal documents. This data includes personal and detailed information and is sent to the server.

[0455] Upon receiving input data, the server automatically generates appropriate legal documents and reports using its generation capabilities. In this document generation process, not only the user's financial information but also their emotions, as recognized by the emotion engine, are considered, and the tone and content of the generated documents are adjusted accordingly. For example, if the user is feeling stressed, a document with a more relaxed tone will be generated.

[0456] In parallel, the server monitors the user's location based on Agoop's location information, and immediately detects any anomalies if there are unusual behavioral patterns or changes in location. Furthermore, the emotion engine analyzes the user's voice and video data, and if it detects abnormal emotional changes, it generates an alert in conjunction with the monitoring function. These alerts are sent to the guardian's terminal, enabling real-time response.

[0457] The terminal provides users and guardians with an interface for visually displaying generated documents and anomaly detection alerts. Users can review this display and, if necessary, modify documents or take action regarding detected anomalies.

[0458] In this way, this system not only manages the assets and safety of the elderly, but also takes into account the user's emotional state, enabling it to provide more human-centered support.

[0459] The following describes the processing flow.

[0460] Step 1:

[0461] The user launches the application installed on their device and enters property information and data necessary for creating legal documents into a form. After reviewing the entered information, they press the submit button to send it to the server.

[0462] Step 2:

[0463] The server receives user property information and personal data transmitted from the terminal. It then analyzes the received data and checks its accuracy and validity.

[0464] Step 3:

[0465] The server uses an emotion engine to analyze the user's voice or video data and identify the user's current emotional state. This information is taken into consideration during the generation process.

[0466] Step 4:

[0467] The server automatically generates legal documents and reports using its generation function, based on the analyzed information and emotional state. The generated documents are then formatted to match the user's emotional state.

[0468] Step 5:

[0469] The server identifies the user's current location via Agoop's location services and monitors for deviations from their usual behavioral patterns. If an anomaly is detected, it evaluates it, including anomalies related to changes in emotions.

[0470] Step 6:

[0471] If an anomaly is detected, the server will create a real-time anomaly detection alert and send a notification to the guardian or emergency contact. This alert will include the type of anomaly detected and its location.

[0472] Step 7:

[0473] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The user can review these and, if necessary, edit the document content or take emergency response measures based on the alerts.

[0474] (Example 2)

[0475] 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."

[0476] When managing the finances and ensuring the safety of elderly individuals, there is a growing need for methods that take into account the individual emotional state of each user to provide more appropriate and reassuring support. Furthermore, there is increasing demand for rapid detection of abnormal behavior or emotions in users and for real-time responses.

[0477] 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.

[0478] In this invention, the server includes an information processing device that analyzes input information and automatically generates documents based on the user's emotional state using a generation AI model; a monitoring device that monitors the user's state based on acquired location data and detects abnormalities in normal behavior patterns; and an information presentation device that presents the generated documents and abnormality detection alerts to the user or their representative via a display device. This enables personalized responses that take into account the user's emotions and rapid abnormality detection.

[0479] An "information processing device" is a device that analyzes input information and uses a generation AI model to automatically generate documents based on the user's emotional state.

[0480] A "generative AI model" is an artificial intelligence model that generates appropriate output based on input data and prompt text, and is particularly used for document generation that takes into account the user's emotional state.

[0481] "Emotional state" refers to the user's feelings and mental state, which is estimated based on various data and reflected in the tone and content of the document.

[0482] A "monitoring device" is a device that monitors the user's status based on acquired location data and detects abnormalities by comparing them with normal behavior patterns.

[0483] An "information presentation device" is a device that has the function of presenting generated documents and anomaly detection alerts to the user or their representative.

[0484] "Location data" refers to information about the user's current location and is used to detect movement patterns and anomalies.

[0485] An "anomaly detection alert" is a notification designed to promptly inform users of deviations from their normal behavioral patterns or emotional states.

[0486] An "agent" refers to a person who has the authority to manage and respond on behalf of the user, and often fulfills the role of a guardian or supporter.

[0487] This "Mode for Carrying Out the Invention" explains how the user, terminal, and server are involved and how the invention is specifically implemented.

[0488] The user launches the application using a dedicated terminal. The application collects detailed information entered by the user, such as property information, information required for legal documents, and emotional state. This information is transmitted to the server in an encrypted form.

[0489] The server stores the received data in a database and performs analysis using a generative AI model with an information processing device. The generative AI model automatically generates appropriate documents based on the user's emotional state using prompts. In this document generation process, adjustments are made, such as generating documents in a relaxed tone, based on signs of anxiety or stress shown by the user. For example, a possible prompt might be: "Please enter information about the real estate owned by the user and generate a property management report in a relaxed tone. The user's recent emotional state appears to be somewhat anxious."

[0490] Furthermore, the server utilizes monitoring devices to acquire location data and continuously monitor the user's location. This enables it to quickly detect deviations from normal behavior patterns and generate anomaly detection alerts. The server also analyzes audio and video data, and if it detects a sudden change in emotional state, it sends an alert to the guardian.

[0491] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. This allows the user to check their status and take appropriate action as needed. Through these steps, the system can provide users with peace of mind by enabling asset management and security checks tailored to individual needs.

[0492] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0493] Step 1:

[0494] The user launches the application on a dedicated terminal and enters data related to their assets and legal documents. The entered data includes personal details, asset status, and information about their emotional state. The terminal verifies this information, checks for formatting errors and other input errors, and sends it to the server as encrypted data.

[0495] Step 2:

[0496] The server saves the received data to a database. Based on the saved data, the information processing device uses a generation AI model to create prompt messages and automatically generates documents that reflect the user's emotional state. The input includes the user's financial information and emotional state, and the output includes generated legal documents and reports. For example, the generated documents will have a more relaxed tone depending on the user's stress level.

[0497] Step 3:

[0498] The server uses monitoring equipment to acquire user location data and continuously monitors daily behavior patterns. It receives current location information as input data and uses this to compare and evaluate it against normal movement patterns. If an anomaly is detected, the server immediately generates an anomaly detection alert and sends it to the relevant terminal.

[0499] Step 4:

[0500] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. The terminal presents this information clearly through a display interface, allowing the user to approve, modify, or take corrective action regarding the document based on the presented information.

[0501] (Application Example 2)

[0502] 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."

[0503] In managing the assets and ensuring the safety of the elderly, real-time anomaly detection that takes into account the user's emotions is a challenge. In particular, conventional systems have been unable to adequately respond to changes in the user's emotions, making rapid response in emergencies and anomalies difficult. Furthermore, there is a need for information technology products used by the elderly in their daily lives that offer user-friendly interfaces that they can use without difficulty.

[0504] 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.

[0505] In this invention, the server includes data processing means having a generation function that analyzes input information and automatically generates documents, monitoring means that monitors the user's state based on acquired location information data and detects abnormalities, and emotion analysis means that analyzes the user's emotional state and detects abnormal emotional changes. This makes it possible to consider the user's emotions in real time and respond quickly based on abnormality detection in the property management and safety checks of the elderly.

[0506] "Data processing means" refers to a device or system equipped with the function of analyzing input information and automatically generating documents according to the purpose.

[0507] "Monitoring means" refers to a device or system that uses data such as location information to monitor the user's state in real time and detect deviations from normal behavioral patterns.

[0508] "Display means" refers to a device or system that provides an interface for visually displaying generated documents and anomaly detection alerts, enabling users and administrators to easily recognize and respond to them.

[0509] "Emotional analysis means" refers to a device or system equipped with the function of analyzing a user's voice data and video data to identify their current emotional state and detect abnormal emotional changes.

[0510] A "notification device" is a device or system that distributes information about detected abnormal behavior or emotional changes to external parties in real time to encourage a prompt response.

[0511] This system primarily consists of a server, a terminal, and a user. First, the user inputs property information and necessary legal document data using a dedicated terminal. This terminal provides a simple and user-friendly interface, designed to be intuitive even for the elderly. The data is sent to the server, which analyzes the input information using data processing tools and automatically generates documents using a generative AI model. The generated documents are adjusted, for example, according to the user's current emotional state, and this information is obtained through emotion analysis tools.

[0512] The server also uses monitoring devices to monitor user location data in real time and detect deviations from normal behavior patterns. If anomalies or emotional changes are detected, relevant information is promptly sent to external parties via notification devices, enabling quick and appropriate responses. These notifications are received by administrators and family members via the device, prompting them to take necessary actions.

[0513] For example, if an elderly person visits an unfamiliar location or if a worrying change in their emotional state is detected, the system automatically notifies pre-designated family members or caregivers. An example of a prompt message in this case would be, "Monitor the elderly person's location and emotional state, and generate an alert if any abnormal behavior is detected." This ensures greater safety for the elderly.

[0514] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0515] Step 1:

[0516] The user operates the terminal to input property information and necessary legal document data. The terminal sends the entered data to the server. The input data includes text information and numerical information. The transmitted data is appropriately formatted for use in subsequent processing.

[0517] Step 2:

[0518] The server analyzes the received data using data processing tools. Specifically, it decomposes the input information and extracts the necessary elements. This analysis creates a dataset for use by the generative AI model. Based on this dataset, the generative AI model automatically generates legal documents and reports. As a result of this document generation process, customized documents are output.

[0519] Step 3:

[0520] To complement the generated document, the server utilizes sentiment analysis tools to evaluate the user's emotional state. This process involves inputting user audio and video data, which is then analyzed by the sentiment engine. Based on the emotional state determined by the analysis, the tone of the generated document is adjusted. As a result, an emotionally sensitive document is output.

[0521] Step 4:

[0522] The server analyzes the acquired location data using monitoring devices to monitor the user's location. Based on general location data, a user's normal behavior pattern is defined, and anomalies are detected by comparing the current location to this pattern. If an anomaly is detected as a result of this process, an alert is generated.

[0523] Step 5:

[0524] Based on anomaly detection and sentiment analysis results, the server uses notification mechanisms to send relevant information to external parties. The notification may include specific details of the anomaly and recommended actions. This should enable parties to respond quickly. As a result of the notification, external parties receive information to guide their actions.

[0525] 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.

[0526] 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.

[0527] 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.

[0528] [Fourth Embodiment]

[0529] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0530] 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.

[0531] 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).

[0532] 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.

[0533] 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.

[0534] 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).

[0535] 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.

[0536] 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.

[0537] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0538] The specific processing program 56 is an example of a "program" relating 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 in accordance with the specific processing program 56 executed on the RAM 30.

[0539] 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.

[0540] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the 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 the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0541] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0542] This invention provides a system for efficiently managing the assets and ensuring the safety of elderly individuals, and includes data processing means, monitoring means, and display means. The specific program processing and implementation methods of this system are described below.

[0543] This system begins with users inputting asset information and data necessary for creating legal documents via their own devices. Using a dedicated application, users enter details of their assets and personal information, then press the submit button to send the information to the server.

[0544] Based on the information received, the server automatically generates necessary legal documents and reports using its built-in generation function. The generated documents are created in digital format and are formatted so that guardians and users can review them.

[0545] Furthermore, this system is equipped with a monitoring function to ensure the safety of elderly people. The server constantly receives location data, uses sensors and GPS technology to pinpoint their location, and immediately sends an alert if an anomaly is detected. This alert is sent to designated contacts, enabling a quick response.

[0546] Finally, the generated documents and anomaly detection alerts are provided to the user or guardian via the terminal. The terminal displays this information using a user-friendly interface, allowing users to easily access it and take necessary actions.

[0547] In this way, the system aims to significantly streamline the work of legal guardians and strengthen the protection of the property and rights of the elderly. It also generates new documents as needed and supports the user's life through safety checks utilizing location information.

[0548] The following describes the processing flow.

[0549] Step 1:

[0550] The user launches a dedicated app on their device and enters the necessary data for creating property information and legal documents. Once the input is complete, they press the submit button to transfer the information to the server.

[0551] Step 2:

[0552] The server receives data sent from the terminal. It analyzes the input information, standardizes the format as needed, and performs a process to verify its validity.

[0553] Step 3:

[0554] The server uses Gen-AX's generation function to automatically create legal documents and reports based on the received information. The generated documents are stored in a database and can be accessed later.

[0555] Step 4:

[0556] The server receives Agoop location data from the user's device and determines the user's current location. It monitors the location information and detects any deviations from the user's usual behavior patterns as an anomaly.

[0557] Step 5:

[0558] If the server detects an anomaly, it will quickly generate an alert and send a notification to the guardian's terminal. The alert will include details such as the type of anomaly and its location.

[0559] Step 6:

[0560] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The displayed information can be viewed and verified through the user interface.

[0561] Step 7:

[0562] Users can take necessary actions based on the content displayed on their device. Specifically, they can verify the content of documents or take countermeasures against detected anomalies.

[0563] (Example 1)

[0564] 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".

[0565] Systems for efficiently managing the assets and ensuring the safety of the elderly need to minimize user effort, generate legal documents quickly and accurately, and detect abnormal situations. However, current technologies have challenges such as the complexity of information input and the accuracy of anomaly detection. There is a need to reduce the burden on users while providing reliable support for the lives of the elderly.

[0566] 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.

[0567] In this invention, the server includes information processing means, monitoring means, and presentation means. This allows users to easily input information, generate legal documents accurately and quickly, and enable early detection of anomalies.

[0568] An "input terminal" is a device used by users to input and transmit information.

[0569] "Information processing means" refers to a system function that analyzes input information and automatically generates necessary documents.

[0570] A "monitoring method" is a function that monitors the user's status based on acquired location information and detects abnormalities.

[0571] "Presentation means" refers to a function that provides the generated document and anomaly detection notification to the user or administrator.

[0572] "Communication means" refers to functions for securely receiving and transmitting information necessary for document generation.

[0573] "Generative AI means" refers to a function that automatically generates legal documents from input information using machine learning models.

[0574] The system of this invention is primarily designed to streamline the management of assets and safety checks for the elderly. Specific embodiments of this system are described below.

[0575] First, the user accesses a dedicated application using an input terminal. This application is designed for Android or iOS, and users can input property information and personal data. Once the information is entered, the data is sent to the server using the SSL / TLS protocol.

[0576] The server processes the received data and generates the necessary documents using information processing tools. This process involves analyzing data stored in a MySQL database. The generation AI uses machine learning models, such as customized versions of commonly known generation techniques, to automatically generate legal documents from the input information. The generated documents are saved in PDF format.

[0577] Next, we will explain the functions for safety verification. The server receives location information of the user's device through monitoring means. Using GPS technology, it determines the location and immediately sends an anomaly detection notification to the administrator or designated contacts if any abnormal movement is detected.

[0578] The generated documents and anomaly detection notifications are presented to the user or guardian via the terminal. The terminal's GUI is based on the React Native framework and is designed to allow users to easily view documents and address anomaly notifications.

[0579] For example, if a user wants to create a new will using a generative AI model, they can enter a prompt like this: "Please create a draft of a new will based on my current financial situation. I want to distribute my assets equally among my grandchildren." This system can quickly and accurately generate a document based on the entered prompt.

[0580] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0581] Step 1:

[0582] The user launches a dedicated application and enters their login information. This authenticates their access to the system and displays their personal dashboard. The input data consists of the username and password, and an authentication token is issued as output.

[0583] Step 2:

[0584] Users enter asset information and personal data on the dashboard. This data includes details such as bank balances, property information, and contact details. This input data is sent in JSON format and stored on the server. As output, the data is stored in a MySQL database.

[0585] Step 3:

[0586] The server analyzes the received data. Using information processing tools, it calculates the total asset value and checks data integrity. This detects data errors and outputs alerts prompting the user to correct them. An accurate dataset is generated as output.

[0587] Step 4:

[0588] The server generates legal documents using generative AI. The input data consists of the user's financial information stored in a database and a prompt message (e.g., "Please create a will based on the current financial situation"). The generative AI model processes the input information and generates and saves the requested document in PDF format.

[0589] Step 5:

[0590] The server receives location information through monitoring devices and performs safety checks on elderly individuals. The input data is real-time location information from GPS devices. This is used to detect suspicious movements and deviations from normal patterns, and if an anomaly is detected, an alert is generated. As output, an anomaly detection notification is generated and sent to the designated emergency contact.

[0591] Step 6:

[0592] The terminal provides the user with generated legal documents and anomaly detection notifications. The user can review these outputs within the application and print or share the documents as needed. As output, the user's actions are logged.

[0593] (Application Example 1)

[0594] 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".

[0595] Ensuring the safety and managing the assets of the elderly requires rapid and efficient anomaly detection and the generation of necessary legal documents. However, current systems are inadequate in monitoring location information and notifying of anomalies. Furthermore, the creation of legal documents relies on manual processes, requiring a tremendous amount of time and effort. These challenges need to be overcome.

[0596] 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.

[0597] In this invention, the server includes information processing means for analyzing input information and automatically generating documents, monitoring means for monitoring the user's status based on acquired location information data and detecting abnormalities, display means for presenting the generated documents and abnormality detection alerts to the user or administrator, and warning means for sending notifications to registered communication destinations when an abnormality is detected. This enables real-time monitoring of the safety of the elderly, prompt response in the event of an abnormality, and efficient generation of necessary legal documents.

[0598] An "information processing means" is a system component that has the function of analyzing input data and automatically generating the necessary documents.

[0599] A "monitoring device" is an element that has the function of continuously acquiring location information data, monitoring the user's status, and detecting abnormalities.

[0600] A "display means" is a device equipped with the function of visually presenting generated documents and anomaly detection alerts to the user or administrator.

[0601] A "warning device" is a system component that has the function of sending a notification to a pre-registered communication destination when an abnormality is detected.

[0602] "Platform" is a term that refers to an integrated system that includes information processing means, monitoring means, display means, and warning means.

[0603] The present invention is implemented by a platform including information processing means, monitoring means, display means, and warning means.

[0604] The server first receives information entered by the user and stores it in a database. The information processing system analyzes this data and automatically generates the necessary legal documents using a generative AI model. The generative AI model used here creates documents in PDF format, utilizing libraries such as ReportLab.

[0605] The monitoring system acquires GPS data transmitted from the terminal and continuously monitors this location information received by the server. It uses the Google Maps API to track the user's current location in real time and detects anomalies by comparing them with normal operating patterns.

[0606] If an anomaly is detected, the warning system will activate and send a push notification to pre-registered recipients via Firebase Cloud Messaging. This notification is intended to inform them that urgent action is required.

[0607] The generated documents and anomaly detection alerts are presented through a display mechanism on the terminal's user-friendly interface. This allows users and administrators to easily review this information and take necessary actions quickly.

[0608] For example, if an elderly person deviates significantly from their usual range of activity, this is detected as an anomaly, and a notification such as "Dad has strayed from his usual location" is sent to registered family members. Another example of a prompt to be input to the generating AI model is, "Monitor the daily activities of elderly people and notify if an anomaly is detected."

[0609] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0610] Step 1:

[0611] Users input and submit property information and necessary personal data through their devices. The entered data is structured in JSON format or similar and sent to the server.

[0612] Step 2:

[0613] The server saves the received user data to a database. This saving process uses SQL to store the data in the appropriate tables so that it can be accessed efficiently later.

[0614] Step 3:

[0615] The server analyzes stored data using a generative AI model and generates the necessary legal documents. Specifically, it uses the ReportLab library to create PDF documents based on the input data. The input is user data, and the output is the generated PDF document.

[0616] Step 4:

[0617] The server monitors the user's location based on GPS data received from the terminal. It uses the Google Maps API to check the location in real time and analyzes the data by comparing it to normal operating patterns to detect anomalies. The input is GPS data, and the output is information regarding the presence or absence of anomalies.

[0618] Step 5:

[0619] If an anomaly is detected, the server uses an alert mechanism to send a push notification to the registered recipient. This process utilizes Firebase Cloud Messaging and sends notifications using a pre-configured message format. The input is the anomaly information, and the output is the notification message sent to the recipient.

[0620] Step 6:

[0621] The server sends the generated documents and anomaly detection alerts to a display method suitable for the user's terminal. The display uses a user-friendly interface, allowing users to easily review the information. The input consists of the generated PDF documents and notification information, while the output is the display on the user interface.

[0622] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0623] This invention is a next-generation system that not only efficiently manages the assets and ensures the safety of the elderly, but also takes into account the user's emotional state. This system operates by combining data processing means, monitoring means, display means, and an emotion engine.

[0624] First, the user uses an application on their device to enter their property information and data required for legal documents. This data includes personal and detailed information and is sent to the server.

[0625] Upon receiving input data, the server automatically generates appropriate legal documents and reports using its generation capabilities. In this document generation process, not only the user's financial information but also their emotions, as recognized by the emotion engine, are considered, and the tone and content of the generated documents are adjusted accordingly. For example, if the user is feeling stressed, a document with a more relaxed tone will be generated.

[0626] In parallel, the server monitors the user's location based on Agoop's location information, and immediately detects any anomalies if there are unusual behavioral patterns or changes in location. Furthermore, the emotion engine analyzes the user's voice and video data, and if it detects abnormal emotional changes, it generates an alert in conjunction with the monitoring function. These alerts are sent to the guardian's terminal, enabling real-time response.

[0627] The terminal provides users and guardians with an interface for visually displaying generated documents and anomaly detection alerts. Users can review this display and, if necessary, modify documents or take action regarding detected anomalies.

[0628] In this way, this system not only manages the assets and safety of the elderly, but also takes into account the user's emotional state, enabling it to provide more human-centered support.

[0629] The following describes the processing flow.

[0630] Step 1:

[0631] The user launches the application installed on their device and enters property information and data necessary for creating legal documents into a form. After reviewing the entered information, they press the submit button to send it to the server.

[0632] Step 2:

[0633] The server receives user property information and personal data transmitted from the terminal. It then analyzes the received data and checks its accuracy and validity.

[0634] Step 3:

[0635] The server uses an emotion engine to analyze the user's voice or video data and identify the user's current emotional state. This information is taken into consideration during the generation process.

[0636] Step 4:

[0637] The server automatically generates legal documents and reports using its generation function, based on the analyzed information and emotional state. The generated documents are then formatted to match the user's emotional state.

[0638] Step 5:

[0639] The server identifies the user's current location via Agoop's location services and monitors for deviations from their usual behavioral patterns. If an anomaly is detected, it evaluates it, including anomalies related to changes in emotions.

[0640] Step 6:

[0641] If an anomaly is detected, the server will create a real-time anomaly detection alert and send a notification to the guardian or emergency contact. This alert will include the type of anomaly detected and its location.

[0642] Step 7:

[0643] The terminal displays generated documents and anomaly detection alerts sent from the server to the user. The user can review these and, if necessary, edit the document content or take emergency response measures based on the alerts.

[0644] (Example 2)

[0645] 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".

[0646] When managing the finances and ensuring the safety of elderly individuals, there is a growing need for methods that take into account the individual emotional state of each user to provide more appropriate and reassuring support. Furthermore, there is increasing demand for rapid detection of abnormal behavior or emotions in users and for real-time responses.

[0647] 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.

[0648] In this invention, the server includes an information processing device that analyzes input information and automatically generates documents based on the user's emotional state using a generation AI model; a monitoring device that monitors the user's state based on acquired location data and detects abnormalities in normal behavior patterns; and an information presentation device that presents the generated documents and abnormality detection alerts to the user or their representative via a display device. This enables personalized responses that take into account the user's emotions and rapid abnormality detection.

[0649] An "information processing device" is a device that analyzes input information and uses a generation AI model to automatically generate documents based on the user's emotional state.

[0650] A "generative AI model" is an artificial intelligence model that generates appropriate output based on input data and prompt text, and is particularly used for document generation that takes into account the user's emotional state.

[0651] "Emotional state" refers to the user's feelings and mental state, which is estimated based on various data and reflected in the tone and content of the document.

[0652] A "monitoring device" is a device that monitors the user's status based on acquired location data and detects abnormalities by comparing them with normal behavior patterns.

[0653] An "information presentation device" is a device that has the function of presenting generated documents and anomaly detection alerts to the user or their representative.

[0654] "Location data" refers to information about the user's current location and is used to detect movement patterns and anomalies.

[0655] An "anomaly detection alert" is a notification designed to promptly inform users of deviations from their normal behavioral patterns or emotional states.

[0656] An "agent" refers to a person who has the authority to manage and respond on behalf of the user, and often fulfills the role of a guardian or supporter.

[0657] This "Mode for Carrying Out the Invention" explains how the user, terminal, and server are involved and how the invention is specifically implemented.

[0658] The user launches the application using a dedicated terminal. The application collects detailed information entered by the user, such as property information, information required for legal documents, and emotional state. This information is transmitted to the server in an encrypted form.

[0659] The server stores the received data in a database and performs analysis using a generative AI model with an information processing device. The generative AI model automatically generates appropriate documents based on the user's emotional state using prompts. In this document generation process, adjustments are made, such as generating documents in a relaxed tone, based on signs of anxiety or stress shown by the user. For example, a possible prompt might be: "Please enter information about the real estate owned by the user and generate a property management report in a relaxed tone. The user's recent emotional state appears to be somewhat anxious."

[0660] Furthermore, the server utilizes monitoring devices to acquire location data and continuously monitor the user's location. This enables it to quickly detect deviations from normal behavior patterns and generate anomaly detection alerts. The server also analyzes audio and video data, and if it detects a sudden change in emotional state, it sends an alert to the guardian.

[0661] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. This allows the user to check their status and take appropriate action as needed. Through these steps, the system can provide users with peace of mind by enabling asset management and security checks tailored to individual needs.

[0662] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0663] Step 1:

[0664] The user launches the application on a dedicated terminal and enters data related to their assets and legal documents. The entered data includes personal details, asset status, and information about their emotional state. The terminal verifies this information, checks for formatting errors and other input errors, and sends it to the server as encrypted data.

[0665] Step 2:

[0666] The server saves the received data to a database. Based on the saved data, the information processing device uses a generation AI model to create prompt messages and automatically generates documents that reflect the user's emotional state. The input includes the user's financial information and emotional state, and the output includes generated legal documents and reports. For example, the generated documents will have a more relaxed tone depending on the user's stress level.

[0667] Step 3:

[0668] The server uses monitoring equipment to acquire user location data and continuously monitors daily behavior patterns. It receives current location information as input data and uses this to compare and evaluate it against normal movement patterns. If an anomaly is detected, the server immediately generates an anomaly detection alert and sends it to the relevant terminal.

[0669] Step 4:

[0670] The terminal visually presents generated documents and anomaly detection alerts to the user or their representative. The terminal presents this information clearly through a display interface, allowing the user to approve, modify, or take corrective action regarding the document based on the presented information.

[0671] (Application Example 2)

[0672] 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".

[0673] In managing the assets and ensuring the safety of the elderly, real-time anomaly detection that takes into account the user's emotions is a challenge. In particular, conventional systems have been unable to adequately respond to changes in the user's emotions, making rapid response in emergencies and anomalies difficult. Furthermore, there is a need for information technology products used by the elderly in their daily lives that offer user-friendly interfaces that they can use without difficulty.

[0674] 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.

[0675] In this invention, the server includes data processing means having a generation function that analyzes input information and automatically generates documents, monitoring means that monitors the user's state based on acquired location information data and detects abnormalities, and emotion analysis means that analyzes the user's emotional state and detects abnormal emotional changes. This makes it possible to consider the user's emotions in real time and respond quickly based on abnormality detection in the property management and safety checks of the elderly.

[0676] "Data processing means" refers to a device or system equipped with the function of analyzing input information and automatically generating documents according to the purpose.

[0677] "Monitoring means" refers to a device or system that uses data such as location information to monitor the user's state in real time and detect deviations from normal behavioral patterns.

[0678] "Display means" refers to a device or system that provides an interface for visually displaying generated documents and anomaly detection alerts, enabling users and administrators to easily recognize and respond to them.

[0679] "Emotional analysis means" refers to a device or system equipped with the function of analyzing a user's voice data and video data to identify their current emotional state and detect abnormal emotional changes.

[0680] A "notification device" is a device or system that distributes information about detected abnormal behavior or emotional changes to external parties in real time to encourage a prompt response.

[0681] This system primarily consists of a server, a terminal, and a user. First, the user inputs property information and necessary legal document data using a dedicated terminal. This terminal provides a simple and user-friendly interface, designed to be intuitive even for the elderly. The data is sent to the server, which analyzes the input information using data processing tools and automatically generates documents using a generative AI model. The generated documents are adjusted, for example, according to the user's current emotional state, and this information is obtained through emotion analysis tools.

[0682] The server also uses monitoring devices to monitor user location data in real time and detect deviations from normal behavior patterns. If anomalies or emotional changes are detected, relevant information is promptly sent to external parties via notification devices, enabling quick and appropriate responses. These notifications are received by administrators and family members via the device, prompting them to take necessary actions.

[0683] For example, if an elderly person visits an unfamiliar location or if a worrying change in their emotional state is detected, the system automatically notifies pre-designated family members or caregivers. An example of a prompt message in this case would be, "Monitor the elderly person's location and emotional state, and generate an alert if any abnormal behavior is detected." This ensures greater safety for the elderly.

[0684] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0685] Step 1:

[0686] The user operates the terminal to input property information and necessary legal document data. The terminal sends the entered data to the server. The input data includes text information and numerical information. The transmitted data is appropriately formatted for use in subsequent processing.

[0687] Step 2:

[0688] The server analyzes the received data using data processing tools. Specifically, it decomposes the input information and extracts the necessary elements. This analysis creates a dataset for use by the generative AI model. Based on this dataset, the generative AI model automatically generates legal documents and reports. As a result of this document generation process, customized documents are output.

[0689] Step 3:

[0690] To complement the generated document, the server utilizes sentiment analysis tools to evaluate the user's emotional state. This process involves inputting user audio and video data, which is then analyzed by the sentiment engine. Based on the emotional state determined by the analysis, the tone of the generated document is adjusted. As a result, an emotionally sensitive document is output.

[0691] Step 4:

[0692] The server analyzes the acquired location data using monitoring devices to monitor the user's location. Based on general location data, a user's normal behavior pattern is defined, and anomalies are detected by comparing the current location to this pattern. If an anomaly is detected as a result of this process, an alert is generated.

[0693] Step 5:

[0694] Based on anomaly detection and sentiment analysis results, the server uses notification mechanisms to send relevant information to external parties. The notification may include specific details of the anomaly and recommended actions. This should enable parties to respond quickly. As a result of the notification, external parties receive information to guide their actions.

[0695] 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.

[0696] 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.

[0697] 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 robot 414.

[0698] 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.

[0699] 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.

[0700] 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.

[0701] 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.

[0702] 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.

[0703] 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."

[0704] 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.

[0705] 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.

[0706] 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.

[0707] 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.

[0708] 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.

[0709] 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.

[0710] 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.

[0711] 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.

[0712] 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.

[0713] 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.

[0714] 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.

[0715] 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.

[0716] The following is further disclosed regarding the embodiments described above.

[0717] (Claim 1)

[0718] A data processing means having a generation function that analyzes input information and automatically generates a document,

[0719] A monitoring system that monitors the user's status based on acquired location data and detects abnormalities,

[0720] A display means for presenting generated documents and anomaly detection alerts to users or administrators,

[0721] A system that includes this.

[0722] (Claim 2)

[0723] The system according to claim 1, wherein the generation function generates legal documents based on the user's property information.

[0724] (Claim 3)

[0725] The system according to claim 1, wherein the monitoring means evaluates abnormalities by comparing them with the normal operating pattern.

[0726] "Example 1"

[0727] (Claim 1)

[0728] Information processing means that analyzes input information and automatically generates documents,

[0729] A monitoring system that monitors the user's status based on acquired location information and detects abnormalities,

[0730] A means of providing the generated document and anomaly detection notification to the user or administrator,

[0731] An input terminal for users to enter and submit information,

[0732] A communication means for securely receiving and transmitting information necessary for document generation,

[0733] A generative AI method that generates legal documents from input information using a machine learning model,

[0734] A system that includes this.

[0735] (Claim 2)

[0736] The system according to claim 1, wherein the generating AI means automatically generates legal documents based on the user's property data.

[0737] (Claim 3)

[0738] The system according to claim 1, wherein the monitoring means determines an abnormality by comparing it with a normal operating pattern.

[0739] "Application Example 1"

[0740] (Claim 1)

[0741] Information processing means that analyzes input information and automatically generates documents,

[0742] A monitoring system that monitors the user's status based on acquired location data and detects abnormalities,

[0743] A display means for presenting generated documents and anomaly detection alerts to users or administrators,

[0744] A warning mechanism that sends a notification to a registered communication destination when an anomaly is detected,

[0745] A platform that includes this.

[0746] (Claim 2)

[0747] The platform according to claim 1, wherein the information processing means generates legal documents based on the user's property information.

[0748] (Claim 3)

[0749] The platform according to claim 1, wherein the monitoring means evaluates abnormalities by comparing them with normal operating patterns.

[0750] "Example 2 of combining an emotion engine"

[0751] (Claim 1)

[0752] An information processing device that analyzes input information and automatically generates documents based on the user's emotional state using a generation AI model,

[0753] A monitoring device that monitors the user's status based on acquired location data and detects abnormalities in their normal behavior patterns,

[0754] An information display device that presents generated documents and anomaly detection alerts to the user or their representative via a display device,

[0755] A system that includes this.

[0756] (Claim 2)

[0757] The system according to claim 1, wherein the information processing device generates legal documents based on the user's asset information and adjusts the content according to the user's emotional state.

[0758] (Claim 3)

[0759] The system according to claim 1, wherein the monitoring device evaluates abnormalities by comparing them with normal movement patterns.

[0760] "Application example 2 of combining emotional engines"

[0761] (Claim 1)

[0762] A data processing means having a generation function that analyzes input information and automatically generates a document,

[0763] A monitoring system that monitors the user's status based on acquired location data and detects abnormalities,

[0764] A display means for presenting generated documents and anomaly detection alerts to users or administrators,

[0765] An emotion analysis means for analyzing the emotional state of a user and detecting abnormal emotional changes,

[0766] A notification system that sends notifications to external parties based on anomaly detection and sentiment analysis results,

[0767] A system that includes this.

[0768] (Claim 2)

[0769] The system according to claim 1, wherein the generation function generates legal documents based on the user's property information and adjusts the tone of the documents based on the sentiment analysis results.

[0770] (Claim 3)

[0771] The system according to claim 1, wherein the monitoring means evaluates abnormalities by comparing them with normal behavioral patterns and takes the emotion analysis results into consideration. [Explanation of Symbols]

[0772] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A data processing means having a generation function that analyzes input information and automatically generates a document, A monitoring system that monitors the user's status based on acquired location data and detects abnormalities, A display means for presenting generated documents and anomaly detection alerts to users or administrators, A system that includes this.

2. The system according to claim 1, wherein the generation function generates legal documents based on the user's property information.

3. The system according to claim 1, wherein the monitoring means evaluates abnormalities by comparing them with the normal operating pattern.

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