system

Abstract

We provide the system. [Solution] A means of registering personal information of elderly people or those requiring assistance, A means for performing facial recognition based on the registered information, A means of recognizing and authorizing the use of priority cashiers in supermarkets, A means for suggesting and displaying an efficient route based on a shopping list within the aforementioned supermarket, A means of registering travel destination information when using a means of transportation and sending travel information to the registered notification recipient, 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, the method including: 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] There is a need to eliminate the inconveniences faced by the elderly or those requiring support in daily life when shopping or using transportation means, and to provide safe and efficient support. Specifically, it is necessary to provide an environment where payment can be smoothly made without long waiting times when shopping at a supermarket, accurately convey the destination when using public transportation or taxis, and facilitate smooth communication with family members or caregivers. Since technologies and mechanisms for solving these problems are currently lacking, the present invention aims to provide a new system to address these problems.

Means for Solving the Problems

[0005] This invention provides a system for registering personal information of elderly or disabled individuals in digital format and using this information for facial recognition. Specifically, it includes a means to recognize and authorize the use of priority cashiers by utilizing facial recognition technology in supermarkets. This reduces waiting times while shopping and enables smooth payments. Furthermore, by allowing users to input their shopping lists, the system suggests efficient shopping routes based on AI technology. In addition, when using transportation, the system includes a mechanism to register the destination and automatically send it to a registered notification address, and enhances safety by tracking the user's current location using GPS. This invention makes it possible for elderly or disabled individuals to live their daily lives more comfortably and safely.

[0006] The term "elderly" generally refers to people who have reached the age of 65 or older and who may require special support for physical or cognitive reasons.

[0007] A "person requiring support" refers to an individual who needs external assistance due to physical or cognitive limitations in their daily life.

[0008] "Personal information" refers to information used to identify a specific individual, including but not limited to names, addresses, and photographs.

[0009] "Facial recognition" is a technology that analyzes a person's face as a digital image to identify or recognize that person.

[0010] A "priority cashier" refers to a dedicated checkout counter that allows specific individuals (such as the elderly or those requiring assistance) to use the service with shorter waiting times than usual.

[0011] A "supermarket" is a type of store that sells a wide range of goods, including food and daily necessities, and is a place where many people do their everyday shopping.

[0012] "Transportation" refers to the means of transport or vehicles used by an individual to move from one point to another.

[0013] A "destination" refers to a specific place that an individual is expected to reach after starting their journey.

[0014] GPS is a technology that uses a satellite system to measure and provide location information on Earth.

[0015] "Notification recipient" refers to an individual or organization registered as the recipient of specific information, such as movement information or status reports.

[0016] A "shopping route" refers to the path one should follow to efficiently collect goods while shopping. [Brief explanation of the drawing]

[0017] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10]Shows an emotion map to which a plurality of 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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] 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."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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".

[0038] The system of this invention aims to provide greater convenience in daily life for the elderly or those requiring assistance, and utilizes facial recognition technology and digital information. This system is primarily implemented in the following ways.

[0039] User Registration

[0040] The user first installs the application and enters their facial photo and basic personal information. This information is sent from the device to the server, which registers it in a database. The facial photo is stored in the system as a facial recognition profile.

[0041] Facial recognition and improved shopping convenience

[0042] Facial recognition terminals installed in stores capture a user's face as they enter the supermarket. The terminal sends the acquired facial data to a server, which matches it against a registered profile. If authentication is successful, the user can use the priority cashier, reducing waiting times at the checkout. Furthermore, when a user enters their shopping list into the app, the terminal uses AI technology to display an efficient shopping route, supporting smooth product acquisition.

[0043] Transportation support

[0044] When a user travels using public transportation, they enter their destination into the app. The device sends the information to a server, which automatically sends the travel information to registered family members or caregivers. Furthermore, the device is equipped with GPS functionality to track the user's current location and send updated information to ensure safety.

[0045] Specific example

[0046] For example, when a woman in her 70s buys everyday groceries at a local supermarket, she can use the app to perform facial recognition and access priority checkouts, reducing her waiting time. She can also enter her shopping list into the app, which will suggest an efficient route, allowing her to complete her shopping quickly. Later, when she takes a taxi to a nearby hospital, she enters her destination into the app, and her son, who is automatically registered in the app, receives notifications about her progress.

[0047] Thus, this system is an innovative solution that enables the elderly and those requiring assistance to overcome daily challenges and live more independent lives.

[0048] The following describes the processing flow.

[0049] Step 1:

[0050] The user installs and launches the application. The terminal displays the user interface and prompts for registration.

[0051] Step 2:

[0052] The user enters their name, a photo, and contact information, and then executes a command to send it to the device.

[0053] Step 3:

[0054] The device collects the entered personal information and facial image and sends it to the server.

[0055] Step 4:

[0056] The server analyzes the received information and generates a facial recognition profile. The generated profile is stored in a database.

[0057] Step 5:

[0058] When a user arrives in front of the supermarket's priority checkout counter, the terminal's camera automatically activates and captures the user's face.

[0059] Step 6:

[0060] The device transmits the acquired facial data to the server in real time.

[0061] Step 7:

[0062] The server compares the received facial data with existing facial recognition profiles and verifies the result.

[0063] Step 8:

[0064] If the verification result from the server is successful, a notification of successful authentication is sent to the terminal.

[0065] Step 9:

[0066] The terminal displays information indicating successful authentication and prompts the user to use the priority cashier.

[0067] Step 10:

[0068] When a user enters a shopping list into the app, the device sends it to the server.

[0069] Step 11:

[0070] The server analyzes the shopping list and uses AI to calculate the most efficient shopping route. The calculated route information is then sent to the terminal.

[0071] Step 12:

[0072] The device displays route guidance on a map to the user and provides voice guidance indicating the location of the product.

[0073] Step 13:

[0074] When a user travels using public transportation, the device inputs destination information into the app.

[0075] Step 14:

[0076] The terminal sends destination information to the server and executes a command to automatically send movement information to the registered notification recipient (family member or caregiver).

[0077] Step 15:

[0078] The server updates GPS data based on the received movement information and tracks the user's current location. It sends the latest movement status to the notification recipient, ensuring security.

[0079] (Example 1)

[0080] 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."

[0081] Elderly people and those requiring assistance face many difficulties in their daily lives, and particularly need safe and efficient support when waiting in line at commercial facilities or using public transportation. Furthermore, it is crucial to appropriately inform family members and caregivers about these services. Conventional systems do not adequately address these needs, and there is a need to improve user convenience and safety.

[0082] 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.

[0083] In this invention, the server includes means for registering biometric authentication information and personal data, means for performing image recognition, and means for identifying and authorizing the use of priority checkouts. This enables safe and efficient service use by the elderly or those requiring assistance, and facilitates appropriate information sharing with family members and caregivers.

[0084] The term "elderly" generally refers to people who are older and require special support or consideration in their daily lives.

[0085] A "person requiring support" refers to an individual who needs some form of assistance in their daily life due to physical or mental reasons.

[0086] "Biometric information" refers to information that uses biological characteristics that can identify an individual, such as facial photographs, fingerprints, and iris scans.

[0087] "Personal data" refers to information about an individual, including information that can individually identify an individual, such as their name, address, and contact information.

[0088] "Means of registration" refers to a method or device for storing data within a system, enabling subsequent processing and retrieval.

[0089] "Means of performing image recognition" refers to technologies that analyze image data acquired using cameras or sensors and identify its content.

[0090] "Priority checkout" refers to a special checkout procedure that allows customers who meet certain conditions to process their payments faster than usual.

[0091] "Means of identification and authorization" refers to criteria or devices for authorizing a certain action based on specific information or conditions.

[0092] A "commercial facility" refers to a building or area constructed for the purpose of selling goods or services.

[0093] The "Global Positioning System" refers to a system that uses artificial satellites to measure your current location on Earth with high precision.

[0094] This invention is a system designed to make life more convenient for the elderly and those requiring assistance in commercial facilities. The following describes a specific implementation of this system.

[0095] Users install a dedicated application on their smartphones or tablets and first register their biometric authentication information (e.g., a facial photograph) and personal data. During this registration process, the device accepts input and then sends the data to the server. The server processes the received information and generates a facial recognition profile using a facial recognition algorithm. Image analysis software and database systems are used for this server-side processing, such as TENSORFLOW® and MySQL®.

[0096] Image recognition terminals installed in commercial facilities capture a user's face when they enter the facility. The terminal immediately sends the acquired image data to a server. The server compares it with registered facial recognition profiles. If the comparison is successful, the server informs the terminal that it is authorized to use a priority checkout counter, and the user can use the designated checkout counter. This entire process provides users with the convenience of reduced waiting times at the checkout counter.

[0097] Furthermore, users can input and manage their shopping lists using the application. The input shopping lists are processed by AI via the terminal to calculate and present efficient routes within the shopping facility. Generative AI models are used for the AI ​​processing, and specific software such as PyTorch is used.

[0098] When a user travels using public transportation, they input destination information through the application. This information is sent from the terminal to a server, which uses the Global Positioning System (GPS) to track the user's location in real time. Based on this location information, the server sends the user's movement information to registered notification recipients, allowing family members and caregivers to confirm the user's safety. This process utilizes GIS software and communication protocols.

[0099] As a concrete example, the following prompt can be used for a shopping route calculated by a generative AI model and a process to verify the user's safe movement: "An elderly person uses facial recognition at a supermarket to access priority checkout and completes their shopping using an efficient route suggested by AI based on their shopping list. Please describe an example where the destination is entered into the app and travel information is automatically notified."

[0100] The above describes the modes for carrying out the invention.

[0101] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0102] Step 1:

[0103] The user launches a smartphone application and enters biometric authentication information and personal data. Based on this, the device collects this data. The entered facial image is sent to the server as image data, and the personal information is sent as text data. The device formats and encrypts the data to prevent data transmission errors and ensures secure transmission to the server.

[0104] Step 2:

[0105] The server analyzes the received biometric information and generates a facial recognition profile. In this process, image recognition software extracts facial features. Facial feature points and patterns are quantified and registered in a database. The server verifies the uniqueness of the profile and checks for any duplication with existing data.

[0106] Step 3:

[0107] When a user enters a commercial facility, a terminal installed there uses a camera to capture the user's face. The terminal immediately sends this captured facial image data to a server. The terminal then performs image preprocessing, such as white balance adjustment and noise reduction, to improve authentication accuracy.

[0108] Step 4:

[0109] The server quickly matches the transmitted facial data with the registered profile. A high-speed image matching algorithm is used to score the degree of match. If the score exceeds a certain threshold, the user is deemed authenticated. The server sends the authentication result back to the terminal, and the user receives permission to use the priority checkout.

[0110] Step 5:

[0111] The user enters their shopping list into the app. The device sends this text data to the server. The server uses a generative AI model to calculate the optimal route by referencing the shopping list and the layout data of the commercial facility. The calculated route information is sent to the device and presented to the user.

[0112] Step 6:

[0113] When a user enters a destination and starts moving, the device sends that information to the server. The server tracks GPS data in real time to confirm the current location and travel route. To ensure user safety, location information is automatically sent to registered notification recipients. A mechanism is included to immediately send an alert if an abnormal movement pattern is detected.

[0114] This series of processes allows the system to provide safe and efficient support.

[0115] (Application Example 1)

[0116] 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."

[0117] The problem that this invention aims to solve is to provide an environment in which elderly people or those requiring assistance can shop smoothly and efficiently in commercial facilities and share information safely and smoothly when using means of transportation. Existing systems are insufficient in improving convenience through biometric authentication and optimization of travel routes, and in particular lack real-time information on congestion and visual support utilizing augmented reality technology. Therefore, there is a need to make the shopping and travel experience for the elderly more autonomous and safer.

[0118] 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.

[0119] In this invention, the server includes means for performing biometric authentication, means for recognizing and authorizing the use of a special register, and means for visually presenting an effective route based on the purchase list. This enables elderly people and those requiring assistance to shop autonomously within commercial facilities, confirm their route using augmented reality with visual assistance devices, understand the congestion situation within the facility in real time, and take optimal action. It also enables tracking the current location using a location measurement system and remotely transmitting updated data for security to a registered location.

[0120] "Elderly people or those requiring support" refers to individuals who require special consideration or assistance in their daily lives.

[0121] "Data" refers to information related to users, including personal information and purchase history, that is necessary for the system to function.

[0122] "Biometric authentication" is a technology that uses physical characteristics such as facial features to authenticate and uniquely identify individual users.

[0123] A "commercial facility" refers to a physical store or complex where people can go to purchase goods.

[0124] A "special register" refers to a checkout counter that allows for faster and priority service compared to regular registers.

[0125] A "purchase list" is a list of products or services that a user plans to purchase.

[0126] An "effective route" refers to the most efficient route for moving within a commercial facility to achieve a specified objective.

[0127] "Visual assistance devices" are devices that allow users to acquire information visually, and include head-mounted displays and smart glasses.

[0128] Augmented reality is a technology that overlays virtual information onto the real world environment, providing users with new visual information.

[0129] "Crowding status" refers to information indicating the density of people and waiting times within a commercial facility.

[0130] A "location measurement system" is a technology that uses GPS to measure the user's current coordinate location.

[0131] "Security update data" refers to data that includes the latest status information necessary to ensure the safety of users.

[0132] This invention is a system that comprehensively supports elderly people and those requiring assistance, from shopping at commercial facilities to their mobility. This system utilizes digital data and biometric authentication technology to improve the user's shopping experience and safety during travel.

[0133] The core server of the system first registers data on elderly and those requiring assistance, and then performs biometric authentication using peripheral devices such as smart glasses and head-mounted displays. OpenCV and AWS® Rekognition are used for biometric authentication, and data is sent to the server immediately for verification.

[0134] When users purchase items within a commercial facility, the system utilizes the Vuforia library via visual aids to present an effective augmented reality route. Route optimization based on the purchase list leverages the Google® Maps API. This feature allows users to find items quickly and efficiently. Furthermore, the system acquires real-time congestion data within the facility, analyzes this data using TensorFlow, and presents the user with the optimal checkout or travel route.

[0135] Furthermore, when using means of transportation, a GPS-equipped smart device measures the current location and transmits the location information to a server in real time. This information is automatically sent to pre-registered contacts, ensuring safety.

[0136] As a concrete example, when an elderly person purchases food at a shopping mall, facial recognition is performed by wearing glasses, and the shortest route to the shelves is visually guided according to a pre-entered shopping list. At the same time, the system checks the congestion status of special checkout counters in real time and notifies the customer of the optimal time to pay. Furthermore, when the customer moves to their destination after shopping, their travel information is automatically notified to their family so that they can return home safely.

[0137] Examples of prompts for a generative AI model are as follows:

[0138] "What features can be offered using smart glasses to improve the shopping experience for seniors? Please suggest ways to optimize product navigation and checkout using facial recognition and AR technology."

[0139] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0140] Step 1:

[0141] The terminal inputs user data. As an initial setup, personal information and a facial photograph of the elderly or person requiring assistance are entered into the terminal. This data is sent to the server, where a facial recognition profile is created by AWS Rekognition using OpenCV and registered in the system.

[0142] Step 2:

[0143] When a user arrives at a commercial facility, the smart glasses, which act as a terminal, capture the user's face. This facial data is sent to a server and compared with registered information in a database. Based on the comparison, the server determines whether biometric authentication was successful and notifies the terminal. If successful, the terminal proceeds to visual verification.

[0144] Step 3:

[0145] The user's device inputs a shopping list for the commercial facility. Based on this list, the device uses the Google Maps API and the facility's internal data to calculate the most efficient route. The server returns the result to the device as augmented reality using the Vuforia library, displaying the route in the user's field of view.

[0146] Step 4:

[0147] The terminal receives sensor information from within the facility and analyzes congestion levels in real time. The server uses TensorFlow to analyze the obtained data and predict congestion levels at special checkout counters. The server sends the results to the terminal and notifies the user of the optimal checkout time and checkout counter.

[0148] Step 5:

[0149] When a user finishes shopping and uses a means of transportation, destination data is entered into the terminal. The terminal's GPS function is used to obtain the current location, and this location data is sent to the server. Based on this information, the server automatically sends the travel information to registered contacts for security purposes, providing peace of mind.

[0150] Step 6:

[0151] The system generates overall feedback from the server and stores data on how users benefited from the experience. This data is then used through a generating AI model to improve future prompt messages.

[0152] 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.

[0153] This invention is a system that utilizes digital technology to support the lives of the elderly or those requiring assistance, and in particular incorporates an emotion engine. This makes it possible to understand an individual's emotional state and provide services and support accordingly.

[0154] This system begins with the user registering personal information and a facial photograph using an application. The terminal sends the collected information to a server, which generates and stores a facial recognition profile. When the user visits a supermarket, the terminal scans the user's face, and the server matches it against the database to grant permission to use the priority checkout counter.

[0155] The emotion engine analyzes the user's facial expression data in real time. This data is also acquired during facial recognition and sent to the server as basic information to provide support tailored to the user's emotional state. Based on this information, the server can adjust the shopping route within the app as needed, suggesting a route that minimizes stress for the user.

[0156] Furthermore, when a user registers destination information in the app, emotional data related to their mode of transportation is also collected. The server understands the user's emotional state and sends reassuring messages to registered family members or caregivers along with information about the user's travel status. This allows recipients to understand the user's current feelings while receiving information about the safety of their travel.

[0157] As a concrete example, consider a scenario where an elderly user is about to take a taxi after shopping at a supermarket. If the emotion engine detects the user's anxious expression, the server will display the shopping route slowly to provide reassurance and send reassuring messages to registered family members during the ride. In this way, the user's psychological burden is reduced, and appropriate assistance can be provided using the surrounding support network.

[0158] This system offers an advanced method to make the daily lives of the elderly and those requiring assistance more comfortable and independent.

[0159] The following describes the processing flow.

[0160] Step 1:

[0161] The user installs and launches the application on their smart device. The device displays a user registration screen and prompts the user to enter the required personal information and a photo of their face.

[0162] Step 2:

[0163] The user enters their name, contact information, and a profile picture, and then presses a button to complete registration. The device sends this information to the server.

[0164] Step 3:

[0165] The server generates a facial recognition profile based on the received personal information and facial photograph, and stores it in a database.

[0166] Step 4:

[0167] The user arrives at the supermarket and moves towards the entrance to use the priority checkout. The terminal's camera automatically activates and captures the user's face.

[0168] Step 5:

[0169] The device transmits the collected facial data to the server in real time. The server compares this data with the stored profile and performs authentication.

[0170] Step 6:

[0171] If the server successfully authenticates, it sends the result to the terminal. The terminal notifies the user of the successful authentication and indicates that the priority cashier is now available.

[0172] Step 7:

[0173] The user enters their shopping list into the app and requests a shopping route suggestion. The device then sends this information to the server.

[0174] Step 8:

[0175] The server uses AI to calculate an efficient shopping route based on the shopping list and sends the suggested route to the terminal.

[0176] Step 9:

[0177] The device displays the shopping route on a map and guides the user with voice or visual instructions.

[0178] Step 10:

[0179] The emotion engine analyzes the user's facial expressions and detects their emotional state. The device then sends this data to the server.

[0180] Step 11:

[0181] Based on emotional data, the server adjusts shopping routes as needed and makes suggestions that do not stress the user.

[0182] Step 12:

[0183] When a user uses a taxi, they enter their destination into the terminal. The terminal sends this information to the server and also reports their emotional state.

[0184] Step 13:

[0185] The server sends movement information to the registered user and adds a reassuring message based on emotional data.

[0186] Step 14:

[0187] The server tracks the user's current location via GPS and continuously sends location information and emotional state updates to the notification recipient.

[0188] (Example 2)

[0189] 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".

[0190] Elderly people and those requiring assistance face many challenges in their daily lives, and there is a need to reduce the psychological burden on them when moving safely and comfortably, and when performing daily activities such as shopping. In particular, there is a need to provide appropriate support that is tailored to their emotions and to coordinate with the surrounding support network.

[0191] 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.

[0192] In this invention, the server includes means for registering biometric information, means for performing biometric authentication, and means for recognizing and authorizing the use of priority equipment. This enables support for elderly people and those requiring assistance to carry out activities in retail stores more efficiently and stress-free, and to ensure safe movement.

[0193] "Biometric information" refers to data related to physical characteristics used to identify elderly individuals or those requiring assistance.

[0194] "Biometric authentication" is a technology that verifies an individual based on registered biometric information.

[0195] A "retail store" refers to a facility that sells goods to consumers, and typically includes supermarkets.

[0196] "Priority facilities" refer to special services or equipment intended for use by the elderly or those requiring assistance.

[0197] "Emotional state" refers to a psychological state that can be understood by analyzing an individual's facial expression data.

[0198] A "computer device" is an electronic device used for data processing, and usually refers to a terminal.

[0199] An "information processing device" refers to a server used for biometric authentication and data verification.

[0200] "Location information technology" refers to technologies that identify and track a person's current location, including GPS.

[0201] "Reassuring information" refers to information transmitted to reduce anxiety and stress that arise during travel or daily activities.

[0202] This invention is a system for supporting the daily lives of the elderly or those requiring assistance. The system uses biometric authentication technology and emotion recognition technology to provide personalized support. Specifically, its functionality is realized through the cooperation of the user, terminal, and server.

[0203] Users operate a dedicated application on a device such as a smartphone or tablet to register their biometric information (e.g., a facial photograph). The device transmits this biometric information to a server using a secure communication protocol. The server uses the registered information to perform biometric authentication on the individual and generates and stores a profile in a database.

[0204] The terminal scans the user's face in real time at facilities such as retail stores and sends the data to a server. The server uses a facial recognition algorithm to match the scanned data with a profile in its database. This allows the user to obtain permission to use priority facilities.

[0205] Furthermore, the device analyzes the user's facial expression data in real time to recognize their emotional state. Based on the obtained emotional data, the server proposes the optimal route that will not cause the user stress. Also, when the user registers destination information on the device, the server uses location information technology to send current movement information and reassuring messages to registered contacts. In this way, real-time support, including travel assistance, is provided.

[0206] As a concrete example, consider a scenario where elderly people receive priority service after shopping at a retail store, combining facial recognition and emotion recognition. The following is an example of a prompt message to be input to a generative AI model.

[0207] "We'll explain how the system helps elderly people who are anxiously waiting for a taxi after finishing their grocery shopping."

[0208] This system offers an advanced approach to improving the quality of life for the elderly and those requiring assistance.

[0209] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0210] Step 1:

[0211] Users access a dedicated application and register by entering their biometric information (e.g., a facial photograph).

[0212] The device receives personal data as input and temporarily stores it within the device. The device then transmits this registered biometric information to the server using a secure protocol. Specifically, the device takes a photo of the user's face and transmits the image file using SSL / TLS. The output is the face photo data transmitted to the server.

[0213] Step 2:

[0214] The server receives biometric information transmitted from the terminal and generates a biometric authentication profile using a facial recognition algorithm.

[0215] The system analyzes facial image data as input and extracts feature vectors. These feature vectors are stored in a database and managed as biometric authentication profiles. The output is the authentication profile stored in the database.

[0216] Step 3:

[0217] When a user visits a retail store, the terminal scans the user's face in real time.

[0218] The input is the user's current facial image data. The terminal's camera device captures this data and sends it to the server. The output is the transmission of real-time facial image data to the server.

[0219] Step 4:

[0220] The server compares the received facial image with the authentication profile in the database.

[0221] Using real-time facial image data as input, a sophisticated facial recognition algorithm performs matching. If a profile matches, priority equipment use authorization is issued. The output is the authorization result signal.

[0222] Step 5:

[0223] The terminal receives authorization results from the server and notifies the user of the availability of priority equipment.

[0224] Specifically, a message saying "Priority use is available" is displayed on the terminal's user interface. The input is the authorization result signal, and the output is an update to the user interface.

[0225] Step 6:

[0226] The device analyzes the user's facial expression data in real time and evaluates their emotional state.

[0227] The input is facial expression data obtained from the user's facial image. The emotion analysis engine processes this data and classifies the user's emotional state. The output is the classified emotion data.

[0228] Step 7:

[0229] The server receives the evaluated emotional state data and suggests a route to the terminal that is less likely to cause stress.

[0230] The input is classified sentiment data, and the AI ​​model calculates the optimal route. The calculated route information is sent to the terminal. The output is the route information suggested to the user.

[0231] Step 8:

[0232] When a user registers destination information in the app, the device collects movement information in real time.

[0233] The input consists of destination information and current location data. This data is obtained using location information technology. The output is movement information sent to the server.

[0234] Step 9:

[0235] The server sends reassuring information to registered contacts based on their movement information.

[0236] The inputs are the user's movement status and emotional state. The server integrates these to generate a reassurance message and sends it to the designated contact. The output is the sent reassurance message.

[0237] (Application Example 2)

[0238] 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".

[0239] There is a lack of systems that provide an environment where elderly people or those requiring assistance can shop and travel safely and comfortably, and that enable appropriate support based on their emotional state. Furthermore, there is a need for support that reduces stress and makes them feel secure when shopping.

[0240] 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.

[0241] In this invention, the server includes means for registering the biological information of elderly or disabled persons, means for suggesting and displaying efficient routes based on purchase items within the sales facility, and means for analyzing the emotional state of the user and providing guidance that gives a sense of security within the store. This makes it possible for elderly and disabled persons to shop and move around with peace of mind.

[0242] "Elderly person" refers to an individual aged 65 or older who may require support in various activities.

[0243] A "person requiring support" refers to someone who needs some form of external assistance in specific daily activities.

[0244] "Biological information" refers to information that includes physical characteristics that can identify an individual, such as their face, fingerprints, and voice.

[0245] "Facial recognition" refers to a technology that recognizes and identifies individuals based on the biological characteristics of registered faces.

[0246] A "sales facility" refers to a physical location established to provide goods or services.

[0247] A "priority payment terminal" refers to a dedicated device designed to speed up the normal payment process.

[0248] "Purchase items" refer to a list of goods and services that a consumer wishes to purchase.

[0249] "Providing a route" means informing users of the optimal route from a specific starting point to their destination.

[0250] "Emotional state" refers to an individual's psychological state, including heightened or diminished emotions, joy, anger, anxiety, and other such feelings.

[0251] "Providing reassuring guidance" refers to presenting information that helps users reduce anxiety and feel safer.

[0252] The system for implementing this invention is designed to support safe and comfortable shopping and mobility for the elderly or those requiring assistance. The system operates primarily around facial recognition technology utilizing edge computing devices and an emotion engine that analyzes the user's emotional state. Specifically, it acquires biological facial information via the camera of a smartphone or dedicated terminal and analyzes emotions using software such as OpenCV and TensorFlow. This allows for a timely understanding of the user's psychological state.

[0253] The server receives user emotional data and uses this information to calculate the optimal route within the sales facility. This route is designed to minimize user anxiety and is graphically represented by the program. Furthermore, if the user's emotions indicate anxiety or fatigue, the system sends reassuring messages to the user's family or caregivers. Twilio API and similar communication platforms are used for communication to ensure fast and reliable contact.

[0254] As a concrete example, when a user visits a crowded shopping facility, the emotional engine detects stress from their facial expressions and guides them to relaxing spots or stores. At the same time, it sends this information to their family in a remote location, conveying a reassuring message that "the user is continuing to shop safely." An example of a prompt message would be, "When an elderly person feels stressed in a crowded environment, please provide guidance to help them relax and send a reassuring message to their family." This system reduces the psychological burden on the elderly and those requiring assistance, enabling them to participate in society with greater peace of mind.

[0255] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0256] Step 1:

[0257] The device boots up and captures an image of the user's face using its camera, which serves as biological information. This information becomes the input for the facial recognition process. The device uses OpenCV to process the image and extract facial features.

[0258] Step 2:

[0259] The terminal transmits the extracted facial features to the server via an edge computing device. The server uses facial recognition technology to match them against existing profiles in its database and identify the user. The output here is the user's authentication status.

[0260] Step 3:

[0261] The server uses TensorFlow to analyze facial expression data in real time to analyze the emotional state of authenticated users. At this stage, facial expression data from the terminal is used as input to determine whether the user is happy, anxious, or angry.

[0262] Step 4:

[0263] The server calculates a suitable route within the sales facility for the user based on their analyzed emotional state. The input is the user's emotional state and facility map data, and the output is a route designed to reduce stress for the user. The calculation results are sent to and displayed on the terminal.

[0264] Step 5:

[0265] The user moves along the route displayed on the device. During the journey, the device continues to monitor the user's emotional state and notifies the server as needed.

[0266] Step 6:

[0267] If the server determines that a user is experiencing stress, it uses the Twilio API to send a reassurance message to pre-registered recipients (family or caregivers). This output is a reassurance message that informs the recipients of the user's condition.

[0268] 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.

[0269] 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.

[0270] 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.

[0271] [Second Embodiment]

[0272] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0273] 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.

[0274] 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).

[0275] 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.

[0276] 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.

[0277] 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).

[0278] 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.

[0279] 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.

[0280] The specific processing program 56 is an example of the "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by operating as the specific processing unit 290 according to the specific processing program 56 executed by the processor 28 on the RAM 30.

[0281] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the specific processing unit 290.

[0282] In the smart glasses 214, the reception and output processing is performed by the processor 46. The storage 50 stores a reception and output program 60. The processor 46 reads the reception and output program 60 from the storage 50 and executes the read reception and output program 60 on the RAM 48. The reception and output processing is realized by operating as the control unit 46A according to the reception and output program 60 executed by the processor 46 on the RAM 48.

[0283] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0284] The system of the present invention aims to enable elderly or people requiring support to obtain further convenience in their daily lives, and utilizes face recognition technology and digital information. This system is mainly implemented in the following ways.

[0285] User registration

[0286] The user first installs an application and inputs their face photo and basic personal information. This information is transmitted by the terminal to the server, and the server registers it in the database. The face photo is stored in the system as a face recognition profile.

[0287] Improvement of Facial Recognition and Shopping Convenience

[0288] The facial recognition terminal installed in the store captures the user's face when the user enters the supermarket. The terminal sends the acquired face data to the server, and the server performs a comparison with the registered profile. When the authentication is successful, the user can use the priority cashier, and the waiting time at the checkout is reduced. Furthermore, when the user enters the shopping list into the app, the terminal uses AI technology to display an efficient shopping route and support smooth product acquisition.

[0289] Support for Means of Transportation

[0290] When the user moves using a means of transportation, the destination is entered into the app. The terminal sends the information to the server, and the server automatically sends the movement information to the registered notification destinations of family members or caregivers. Furthermore, the terminal has a GPS function, tracks the user's current location, and sends the latest information to ensure safety.

[0291] Specific Example

[0292] For example, when a 70-year-old woman purchases daily food ingredients at a local supermarket, she performs her own facial recognition through the app and reduces the waiting time by using the priority cashier. Also, by entering the product list into the app, the terminal proposes an effective route and enables her to finish shopping quickly. Then, when going to a nearby hospital by taxi, she enters the destination in the app, and the movement status is automatically notified to her registered son.

[0293] In this way, this system is an innovative solution that enables the elderly and those requiring support to overcome daily challenges and lead a more independent life.

[0294] The following describes the processing flow.

[0295] Step 1:

[0296] The user installs and launches the application. The terminal displays the user interface and requests registration.

[0297] Step 2:

[0298] The user inputs their name, face photo, and contact information and executes a command to send it to the terminal.

[0299] Step 3:

[0300] The terminal collects the input personal information and face photo and sends it to the server.

[0301] Step 4:

[0302] The server analyzes the received information and generates a face authentication profile. The generated profile is saved in the database.

[0303] Step 5:

[0304] When the user arrives in front of the priority cashier in the supermarket, the camera of the terminal automatically activates and captures the user's face.

[0305] Step 6:

[0306] The terminal sends the acquired face data to the server in real time.

[0307] Step 7:

[0308] The server compares the received face data with the existing face authentication profile and checks the result.

[0309] Step 8:

[0310] If the comparison result from the server is successful, it sends a notification of successful authentication to the terminal. <00....978>

[0311] Step 9:

[0312] The terminal displays information indicating successful authentication and prompts the user to use the priority cashier.

[0313] Step 10:

[0314] When a user enters a shopping list into the app, the device sends it to the server.

[0315] Step 11:

[0316] The server analyzes the shopping list and uses AI to calculate the most efficient shopping route. The calculated route information is then sent to the terminal.

[0317] Step 12:

[0318] The device displays route guidance on a map to the user and provides voice guidance indicating the location of the product.

[0319] Step 13:

[0320] When a user travels using public transportation, the device inputs destination information into the app.

[0321] Step 14:

[0322] The terminal sends destination information to the server and executes a command to automatically send movement information to the registered notification recipient (family member or caregiver).

[0323] Step 15:

[0324] The server updates GPS data based on the received movement information and tracks the user's current location. It sends the latest movement status to the notification recipient, ensuring security.

[0325] (Example 1)

[0326] 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."

[0327] Elderly people and those requiring assistance face many difficulties in their daily lives, and particularly need safe and efficient support when waiting in line at commercial facilities or using public transportation. Furthermore, it is crucial to appropriately inform family members and caregivers about these services. Conventional systems do not adequately address these needs, and there is a need to improve user convenience and safety.

[0328] 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.

[0329] In this invention, the server includes means for registering biometric authentication information and personal data, means for performing image recognition, and means for identifying and authorizing the use of priority checkouts. This enables safe and efficient service use by the elderly or those requiring assistance, and facilitates appropriate information sharing with family members and caregivers.

[0330] The term "elderly" generally refers to people who are older and require special support or consideration in their daily lives.

[0331] A "person requiring support" refers to an individual who needs some form of assistance in their daily life due to physical or mental reasons.

[0332] "Biometric information" refers to information that uses biological characteristics that can identify an individual, such as facial photographs, fingerprints, and iris scans.

[0333] "Personal data" refers to information about an individual, including information that can individually identify an individual, such as their name, address, and contact information.

[0334] "Means of registration" refers to a method or device for storing data within a system, enabling subsequent processing and retrieval.

[0335] "Means of performing image recognition" refers to technologies that analyze image data acquired using cameras or sensors and identify its content.

[0336] "Priority checkout" refers to a special checkout procedure that allows customers who meet certain conditions to process their payments faster than usual.

[0337] "Means of identification and authorization" refers to criteria or devices for authorizing a certain action based on specific information or conditions.

[0338] A "commercial facility" refers to a building or area constructed for the purpose of selling goods or services.

[0339] The "Global Positioning System" refers to a system that uses artificial satellites to measure your current location on Earth with high precision.

[0340] This invention is a system designed to make life more convenient for the elderly and those requiring assistance in commercial facilities. The following describes a specific implementation of this system.

[0341] Users install a dedicated application on their smartphones or tablets and first register their biometric authentication information (e.g., a facial photograph) and personal data. During this registration process, the device accepts input and then sends the data to the server. The server processes the received information and generates a facial recognition profile using a facial recognition algorithm. Image analysis software and database systems are used for this server-side processing, such as TensorFlow and MySQL.

[0342] Image recognition terminals installed in commercial facilities capture a user's face when they enter the facility. The terminal immediately sends the acquired image data to a server. The server compares it with registered facial recognition profiles. If the comparison is successful, the server informs the terminal that it is authorized to use a priority checkout counter, and the user can use the designated checkout counter. This entire process provides users with the convenience of reduced waiting times at the checkout counter.

[0343] Furthermore, users can input and manage their shopping lists using the application. The input shopping lists are processed by AI via the terminal to calculate and present efficient routes within the shopping facility. Generative AI models are used for the AI ​​processing, and specific software such as PyTorch is used.

[0344] When a user travels using public transportation, they input destination information through the application. This information is sent from the terminal to a server, which uses the Global Positioning System (GPS) to track the user's location in real time. Based on this location information, the server sends the user's movement information to registered notification recipients, allowing family members and caregivers to confirm the user's safety. This process utilizes GIS software and communication protocols.

[0345] As a concrete example, the following prompt can be used for a shopping route calculated by a generative AI model and a process to verify the user's safe movement: "An elderly person uses facial recognition at a supermarket to access priority checkout and completes their shopping using an efficient route suggested by AI based on their shopping list. Please describe an example where the destination is entered into the app and travel information is automatically notified."

[0346] The above describes the modes for carrying out the invention.

[0347] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0348] Step 1:

[0349] The user launches a smartphone application and enters biometric authentication information and personal data. Based on this, the device collects this data. The entered facial image is sent to the server as image data, and the personal information is sent as text data. The device formats and encrypts the data to prevent data transmission errors and ensures secure transmission to the server.

[0350] Step 2:

[0351] The server analyzes the received biometric information and generates a facial recognition profile. In this process, image recognition software extracts facial features. Facial feature points and patterns are quantified and registered in a database. The server verifies the uniqueness of the profile and checks for any duplication with existing data.

[0352] Step 3:

[0353] When a user enters a commercial facility, a terminal installed there uses a camera to capture the user's face. The terminal immediately sends this captured facial image data to a server. The terminal then performs image preprocessing, such as white balance adjustment and noise reduction, to improve authentication accuracy.

[0354] Step 4:

[0355] The server quickly matches the transmitted facial data with the registered profile. A high-speed image matching algorithm is used to score the degree of match. If the score exceeds a certain threshold, the user is deemed authenticated. The server sends the authentication result back to the terminal, and the user receives permission to use the priority checkout.

[0356] Step 5:

[0357] The user enters their shopping list into the app. The device sends this text data to the server. The server uses a generative AI model to calculate the optimal route by referencing the shopping list and the layout data of the commercial facility. The calculated route information is sent to the device and presented to the user.

[0358] Step 6:

[0359] When a user enters a destination and starts moving, the device sends that information to the server. The server tracks GPS data in real time to confirm the current location and travel route. To ensure user safety, location information is automatically sent to registered notification recipients. A mechanism is included to immediately send an alert if an abnormal movement pattern is detected.

[0360] This series of processes allows the system to provide safe and efficient support.

[0361] (Application Example 1)

[0362] 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."

[0363] The problem that this invention aims to solve is to provide an environment in which elderly people or those requiring assistance can shop smoothly and efficiently in commercial facilities and share information safely and smoothly when using means of transportation. Existing systems are insufficient in improving convenience through biometric authentication and optimization of travel routes, and in particular lack real-time information on congestion and visual support utilizing augmented reality technology. Therefore, there is a need to make the shopping and travel experience for the elderly more autonomous and safer.

[0364] 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.

[0365] In this invention, the server includes means for performing biometric authentication, means for recognizing and authorizing the use of a special register, and means for visually presenting an effective route based on the purchase list. This enables elderly people and those requiring assistance to shop autonomously within commercial facilities, confirm their route using augmented reality with visual assistance devices, understand the congestion situation within the facility in real time, and take optimal action. It also enables tracking the current location using a location measurement system and remotely transmitting updated data for security to a registered location.

[0366] "Elderly people or those requiring support" refers to individuals who require special consideration or assistance in their daily lives.

[0367] "Data" refers to information related to users, including personal information and purchase history, that is necessary for the system to function.

[0368] "Biometric authentication" is a technology that uses physical characteristics such as facial features to authenticate and uniquely identify individual users.

[0369] A "commercial facility" refers to a physical store or complex where people can go to purchase goods.

[0370] A "special register" refers to a checkout counter that allows for faster and priority service compared to regular registers.

[0371] A "purchase list" is a list of products or services that a user plans to purchase.

[0372] An "effective route" refers to the most efficient route for moving within a commercial facility to achieve a specified objective.

[0373] "Visual assistance devices" are devices that allow users to acquire information visually, and include head-mounted displays and smart glasses.

[0374] Augmented reality is a technology that overlays virtual information onto the real world environment, providing users with new visual information.

[0375] "Crowding status" refers to information indicating the density of people and waiting times within a commercial facility.

[0376] A "location measurement system" is a technology that uses GPS to measure the user's current coordinate location.

[0377] "Security update data" refers to data that includes the latest status information necessary to ensure the safety of users.

[0378] This invention is a system that comprehensively supports elderly people and those requiring assistance, from shopping at commercial facilities to their mobility. This system utilizes digital data and biometric authentication technology to improve the user's shopping experience and safety during travel.

[0379] The core server of the system first registers data on elderly and those requiring assistance, and then performs biometric authentication using peripheral devices such as smart glasses and head-mounted displays. OpenCV and AWS Rekognition are used for biometric authentication, and data is sent to the server immediately for verification.

[0380] When users purchase items within a commercial facility, the system utilizes the Vuforia library via visual aids to present an effective augmented reality route. Route optimization based on the purchase list leverages the Google Maps API. This feature allows users to find items quickly and efficiently. Furthermore, the system acquires real-time congestion data within the facility, analyzes this data using TensorFlow, and presents the user with the optimal checkout or travel route.

[0381] Furthermore, when using means of transportation, a GPS-equipped smart device measures the current location and transmits the location information to a server in real time. This information is automatically sent to pre-registered contacts, ensuring safety.

[0382] As a concrete example, when an elderly person purchases food at a shopping mall, facial recognition is performed by wearing glasses, and the shortest route to the shelves is visually guided according to a pre-entered shopping list. At the same time, the system checks the congestion status of special checkout counters in real time and notifies the customer of the optimal time to pay. Furthermore, when the customer moves to their destination after shopping, their travel information is automatically notified to their family so that they can return home safely.

[0383] Examples of prompts for a generative AI model are as follows:

[0384] "What features can be offered using smart glasses to improve the shopping experience for seniors? Please suggest ways to optimize product navigation and checkout using facial recognition and AR technology."

[0385] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0386] Step 1:

[0387] The terminal inputs user data. As an initial setup, personal information and a facial photograph of the elderly or person requiring assistance are entered into the terminal. This data is sent to the server, where a facial recognition profile is created by AWS Rekognition using OpenCV and registered in the system.

[0388] Step 2:

[0389] When a user arrives at a commercial facility, the smart glasses, which act as a terminal, capture the user's face. This facial data is sent to a server and compared with registered information in a database. Based on the comparison, the server determines whether biometric authentication was successful and notifies the terminal. If successful, the terminal proceeds to visual verification.

[0390] Step 3:

[0391] The user's device inputs a shopping list for the commercial facility. Based on this list, the device uses the Google Maps API and the facility's internal data to calculate the most efficient route. The server returns the result to the device as augmented reality using the Vuforia library, displaying the route in the user's field of view.

[0392] Step 4:

[0393] The terminal receives sensor information from within the facility and analyzes congestion levels in real time. The server uses TensorFlow to analyze the obtained data and predict congestion levels at special checkout counters. The server sends the results to the terminal and notifies the user of the optimal checkout time and checkout counter.

[0394] Step 5:

[0395] When a user finishes shopping and uses a means of transportation, destination data is entered into the terminal. The terminal's GPS function is used to obtain the current location, and this location data is sent to the server. Based on this information, the server automatically sends the travel information to registered contacts for security purposes, providing peace of mind.

[0396] Step 6:

[0397] The system generates overall feedback from the server and stores data on how users benefited from the experience. This data is then used through a generating AI model to improve future prompt messages.

[0398] 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.

[0399] This invention is a system that utilizes digital technology to support the lives of the elderly or those requiring assistance, and in particular incorporates an emotion engine. This makes it possible to understand an individual's emotional state and provide services and support accordingly.

[0400] This system begins with the user registering personal information and a facial photograph using an application. The terminal sends the collected information to a server, which generates and stores a facial recognition profile. When the user visits a supermarket, the terminal scans the user's face, and the server matches it against the database to grant permission to use the priority checkout counter.

[0401] The emotion engine analyzes the user's facial expression data in real time. This data is also acquired during facial recognition and sent to the server as basic information to provide support tailored to the user's emotional state. Based on this information, the server can adjust the shopping route within the app as needed, suggesting a route that minimizes stress for the user.

[0402] Furthermore, when a user registers destination information in the app, emotional data related to their mode of transportation is also collected. The server understands the user's emotional state and sends reassuring messages to registered family members or caregivers along with information about the user's travel status. This allows recipients to understand the user's current feelings while receiving information about the safety of their travel.

[0403] As a concrete example, consider a scenario where an elderly user is about to take a taxi after shopping at a supermarket. If the emotion engine detects the user's anxious expression, the server will display the shopping route slowly to provide reassurance and send reassuring messages to registered family members during the ride. In this way, the user's psychological burden is reduced, and appropriate assistance can be provided using the surrounding support network.

[0404] This system offers an advanced method to make the daily lives of the elderly and those requiring assistance more comfortable and independent.

[0405] The following describes the processing flow.

[0406] Step 1:

[0407] The user installs and launches the application on their smart device. The device displays a user registration screen and prompts the user to enter the required personal information and a photo of their face.

[0408] Step 2:

[0409] The user enters their name, contact information, and a profile picture, and then presses a button to complete registration. The device sends this information to the server.

[0410] Step 3:

[0411] The server generates a facial recognition profile based on the received personal information and facial photograph, and stores it in a database.

[0412] Step 4:

[0413] The user arrives at the supermarket and moves towards the entrance to use the priority checkout. The terminal's camera automatically activates and captures the user's face.

[0414] Step 5:

[0415] The device transmits the collected facial data to the server in real time. The server compares this data with the stored profile and performs authentication.

[0416] Step 6:

[0417] If the server successfully authenticates, it sends the result to the terminal. The terminal notifies the user of the successful authentication and indicates that the priority cashier is now available.

[0418] Step 7:

[0419] The user enters their shopping list into the app and requests a shopping route suggestion. The device then sends this information to the server.

[0420] Step 8:

[0421] The server uses AI to calculate an efficient shopping route based on the shopping list and sends the suggested route to the terminal.

[0422] Step 9:

[0423] The device displays the shopping route on a map and guides the user with voice or visual instructions.

[0424] Step 10:

[0425] The emotion engine analyzes the user's facial expressions and detects their emotional state. The device then sends this data to the server.

[0426] Step 11:

[0427] Based on emotional data, the server adjusts shopping routes as needed and makes suggestions that do not stress the user.

[0428] Step 12:

[0429] When a user uses a taxi, they enter their destination into the terminal. The terminal sends this information to the server and also reports their emotional state.

[0430] Step 13:

[0431] The server sends movement information to the registered user and adds a reassuring message based on emotional data.

[0432] Step 14:

[0433] The server tracks the user's current location via GPS and continuously sends location information and emotional state updates to the notification recipient.

[0434] (Example 2)

[0435] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0436] Elderly people and those requiring assistance face many challenges in their daily lives, and there is a need to reduce the psychological burden on them when moving safely and comfortably, and when performing daily activities such as shopping. In particular, there is a need to provide appropriate support that is tailored to their emotions and to coordinate with the surrounding support network.

[0437] 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.

[0438] In this invention, the server includes means for registering biometric information, means for performing biometric authentication, and means for recognizing and authorizing the use of priority equipment. This enables support for elderly people and those requiring assistance to carry out activities in retail stores more efficiently and stress-free, and to ensure safe movement.

[0439] "Biometric information" refers to data related to physical characteristics used to identify elderly individuals or those requiring assistance.

[0440] "Biometric authentication" is a technology that verifies an individual based on registered biometric information.

[0441] A "retail store" refers to a facility that sells goods to consumers, and typically includes supermarkets.

[0442] "Priority facilities" refer to special services or equipment intended for use by the elderly or those requiring assistance.

[0443] "Emotional state" refers to a psychological state that can be understood by analyzing an individual's facial expression data.

[0444] A "computer device" is an electronic device used for data processing, and usually refers to a terminal.

[0445] An "information processing device" refers to a server used for biometric authentication and data verification.

[0446] "Location information technology" refers to technologies that identify and track a person's current location, including GPS.

[0447] "Reassuring information" refers to information transmitted to reduce anxiety and stress that arise during travel or daily activities.

[0448] This invention is a system for supporting the daily lives of the elderly or those requiring assistance. The system uses biometric authentication technology and emotion recognition technology to provide personalized support. Specifically, its functionality is realized through the cooperation of the user, terminal, and server.

[0449] Users operate a dedicated application on a device such as a smartphone or tablet to register their biometric information (e.g., a facial photograph). The device transmits this biometric information to a server using a secure communication protocol. The server uses the registered information to perform biometric authentication on the individual and generates and stores a profile in a database.

[0450] The terminal scans the user's face in real time at facilities such as retail stores and sends the data to a server. The server uses a facial recognition algorithm to match the scanned data with a profile in its database. This allows the user to obtain permission to use priority facilities.

[0451] Furthermore, the device analyzes the user's facial expression data in real time to recognize their emotional state. Based on the obtained emotional data, the server proposes the optimal route that will not cause the user stress. Also, when the user registers destination information on the device, the server uses location information technology to send current movement information and reassuring messages to registered contacts. In this way, real-time support, including travel assistance, is provided.

[0452] As a concrete example, consider a scenario where elderly people receive priority service after shopping at a retail store, combining facial recognition and emotion recognition. The following is an example of a prompt message to be input to a generative AI model.

[0453] "We'll explain how the system helps elderly people who are anxiously waiting for a taxi after finishing their grocery shopping."

[0454] This system offers an advanced approach to improving the quality of life for the elderly and those requiring assistance.

[0455] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0456] Step 1:

[0457] Users access a dedicated application and register by entering their biometric information (e.g., a facial photograph).

[0458] The device receives personal data as input and temporarily stores it within the device. The device then transmits this registered biometric information to the server using a secure protocol. Specifically, the device takes a photo of the user's face and transmits the image file using SSL / TLS. The output is the face photo data transmitted to the server.

[0459] Step 2:

[0460] The server receives biometric information transmitted from the terminal and generates a biometric authentication profile using a facial recognition algorithm.

[0461] The system analyzes facial image data as input and extracts feature vectors. These feature vectors are stored in a database and managed as biometric authentication profiles. The output is the authentication profile stored in the database.

[0462] Step 3:

[0463] When a user visits a retail store, the terminal scans the user's face in real time.

[0464] The input is the user's current facial image data. The terminal's camera device captures this data and sends it to the server. The output is the transmission of real-time facial image data to the server.

[0465] Step 4:

[0466] The server compares the received facial image with the authentication profile in the database.

[0467] Using real-time facial image data as input, a sophisticated facial recognition algorithm performs matching. If a profile matches, priority equipment use authorization is issued. The output is the authorization result signal.

[0468] Step 5:

[0469] The terminal receives authorization results from the server and notifies the user of the availability of priority equipment.

[0470] Specifically, a message saying "Priority use is available" is displayed on the terminal's user interface. The input is the authorization result signal, and the output is an update to the user interface.

[0471] Step 6:

[0472] The device analyzes the user's facial expression data in real time and evaluates their emotional state.

[0473] The input is facial expression data obtained from the user's facial image. The emotion analysis engine processes this data and classifies the user's emotional state. The output is the classified emotion data.

[0474] Step 7:

[0475] The server receives the evaluated emotional state data and suggests a route to the terminal that is less likely to cause stress.

[0476] The input is classified sentiment data, and the AI ​​model calculates the optimal route. The calculated route information is sent to the terminal. The output is the route information suggested to the user.

[0477] Step 8:

[0478] When a user registers destination information in the app, the device collects movement information in real time.

[0479] The input consists of destination information and current location data. This data is obtained using location information technology. The output is movement information sent to the server.

[0480] Step 9:

[0481] The server sends reassuring information to registered contacts based on their movement information.

[0482] The inputs are the user's movement status and emotional state. The server integrates these to generate a reassurance message and sends it to the designated contact. The output is the sent reassurance message.

[0483] (Application Example 2)

[0484] 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."

[0485] There is a lack of systems that provide an environment where elderly people or those requiring assistance can shop and travel safely and comfortably, and that enable appropriate support based on their emotional state. Furthermore, there is a need for support that reduces stress and makes them feel secure when shopping.

[0486] 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.

[0487] In this invention, the server includes means for registering the biological information of elderly or disabled persons, means for suggesting and displaying efficient routes based on purchase items within the sales facility, and means for analyzing the emotional state of the user and providing guidance that gives a sense of security within the store. This makes it possible for elderly and disabled persons to shop and move around with peace of mind.

[0488] "Elderly person" refers to an individual aged 65 or older who may require support in various activities.

[0489] A "person requiring support" refers to someone who needs some form of external assistance in specific daily activities.

[0490] "Biological information" refers to information that includes physical characteristics that can identify an individual, such as their face, fingerprints, and voice.

[0491] "Facial recognition" refers to a technology that recognizes and identifies individuals based on the biological characteristics of registered faces.

[0492] A "sales facility" refers to a physical location established to provide goods or services.

[0493] A "priority payment terminal" refers to a dedicated device designed to speed up the normal payment process.

[0494] "Purchase items" refer to a list of goods and services that a consumer wishes to purchase.

[0495] "Providing a route" means informing users of the optimal route from a specific starting point to their destination.

[0496] "Emotional state" refers to an individual's psychological state, including heightened or diminished emotions, joy, anger, anxiety, and other such feelings.

[0497] "Providing reassuring guidance" refers to presenting information that helps users reduce anxiety and feel safer.

[0498] The system for implementing this invention is designed to support safe and comfortable shopping and mobility for the elderly or those requiring assistance. The system operates primarily around facial recognition technology utilizing edge computing devices and an emotion engine that analyzes the user's emotional state. Specifically, it acquires biological facial information via the camera of a smartphone or dedicated terminal and analyzes emotions using software such as OpenCV and TensorFlow. This allows for a timely understanding of the user's psychological state.

[0499] The server receives user emotional data and uses this information to calculate the optimal route within the sales facility. This route is designed to minimize user anxiety and is graphically represented by the program. Furthermore, if the user's emotions indicate anxiety or fatigue, the system sends reassuring messages to the user's family or caregivers. Twilio API and similar communication platforms are used for communication to ensure fast and reliable contact.

[0500] As a concrete example, when a user visits a crowded shopping facility, the emotional engine detects stress from their facial expressions and guides them to relaxing spots or stores. At the same time, it sends this information to their family in a remote location, conveying a reassuring message that "the user is continuing to shop safely." An example of a prompt message would be, "When an elderly person feels stressed in a crowded environment, please provide guidance to help them relax and send a reassuring message to their family." This system reduces the psychological burden on the elderly and those requiring assistance, enabling them to participate in society with greater peace of mind.

[0501] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0502] Step 1:

[0503] The device boots up and captures an image of the user's face using its camera, which serves as biological information. This information becomes the input for the facial recognition process. The device uses OpenCV to process the image and extract facial features.

[0504] Step 2:

[0505] The terminal transmits the extracted facial features to the server via an edge computing device. The server uses facial recognition technology to match them against existing profiles in its database and identify the user. The output here is the user's authentication status.

[0506] Step 3:

[0507] The server uses TensorFlow to analyze facial expression data in real time to analyze the emotional state of authenticated users. At this stage, facial expression data from the terminal is used as input to determine whether the user is happy, anxious, or angry.

[0508] Step 4:

[0509] The server calculates a suitable route within the sales facility for the user based on their analyzed emotional state. The input is the user's emotional state and facility map data, and the output is a route designed to reduce stress for the user. The calculation results are sent to and displayed on the terminal.

[0510] Step 5:

[0511] The user moves along the route displayed on the device. During the journey, the device continues to monitor the user's emotional state and notifies the server as needed.

[0512] Step 6:

[0513] If the server determines that a user is experiencing stress, it uses the Twilio API to send a reassurance message to pre-registered recipients (family or caregivers). This output is a reassurance message that informs the recipients of the user's condition.

[0514] 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.

[0515] 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.

[0516] 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.

[0517] [Third Embodiment]

[0518] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0519] 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.

[0520] 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).

[0521] 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.

[0522] 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.

[0523] 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).

[0524] 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.

[0525] 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.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] 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".

[0530] The system of this invention aims to provide greater convenience in daily life for the elderly or those requiring assistance, and utilizes facial recognition technology and digital information. This system is primarily implemented in the following ways.

[0531] User Registration

[0532] The user first installs the application and enters their facial photo and basic personal information. This information is sent from the device to the server, which registers it in a database. The facial photo is stored in the system as a facial recognition profile.

[0533] Facial recognition and improved shopping convenience

[0534] Facial recognition terminals installed in stores capture a user's face as they enter the supermarket. The terminal sends the acquired facial data to a server, which matches it against a registered profile. If authentication is successful, the user can use the priority cashier, reducing waiting times at the checkout. Furthermore, when a user enters their shopping list into the app, the terminal uses AI technology to display an efficient shopping route, supporting smooth product acquisition.

[0535] Transportation support

[0536] When a user travels using public transportation, they enter their destination into the app. The device sends the information to a server, which automatically sends the travel information to registered family members or caregivers. Furthermore, the device is equipped with GPS functionality to track the user's current location and send updated information to ensure safety.

[0537] Specific example

[0538] For example, when a woman in her 70s buys everyday groceries at a local supermarket, she can use the app to perform facial recognition and access priority checkouts, reducing her waiting time. She can also enter her shopping list into the app, which will suggest an efficient route, allowing her to complete her shopping quickly. Later, when she takes a taxi to a nearby hospital, she enters her destination into the app, and her son, who is automatically registered in the app, receives notifications about her progress.

[0539] Thus, this system is an innovative solution that enables the elderly and those requiring assistance to overcome daily challenges and live more independent lives.

[0540] The following describes the processing flow.

[0541] Step 1:

[0542] The user installs and launches the application. The terminal displays the user interface and prompts for registration.

[0543] Step 2:

[0544] The user enters their name, a photo, and contact information, and then executes a command to send it to the device.

[0545] Step 3:

[0546] The device collects the entered personal information and facial image and sends it to the server.

[0547] Step 4:

[0548] The server analyzes the received information and generates a facial recognition profile. The generated profile is stored in a database.

[0549] Step 5:

[0550] When a user arrives in front of the supermarket's priority checkout counter, the terminal's camera automatically activates and captures the user's face.

[0551] Step 6:

[0552] The device transmits the acquired facial data to the server in real time.

[0553] Step 7:

[0554] The server compares the received facial data with existing facial recognition profiles and verifies the result.

[0555] Step 8:

[0556] If the verification result from the server is successful, a notification of successful authentication is sent to the terminal.

[0557] Step 9:

[0558] The terminal displays information indicating successful authentication and prompts the user to use the priority cashier.

[0559] Step 10:

[0560] When a user enters a shopping list into the app, the device sends it to the server.

[0561] Step 11:

[0562] The server analyzes the shopping list and uses AI to calculate the most efficient shopping route. The calculated route information is then sent to the terminal.

[0563] Step 12:

[0564] The device displays route guidance on a map to the user and provides voice guidance indicating the location of the product.

[0565] Step 13:

[0566] When a user travels using public transportation, the device inputs destination information into the app.

[0567] Step 14:

[0568] The terminal sends destination information to the server and executes a command to automatically send movement information to the registered notification recipient (family member or caregiver).

[0569] Step 15:

[0570] The server updates GPS data based on the received movement information and tracks the user's current location. It sends the latest movement status to the notification recipient, ensuring security.

[0571] (Example 1)

[0572] 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."

[0573] Elderly people and those requiring assistance face many difficulties in their daily lives, and particularly need safe and efficient support when waiting in line at commercial facilities or using public transportation. Furthermore, it is crucial to appropriately inform family members and caregivers about these services. Conventional systems do not adequately address these needs, and there is a need to improve user convenience and safety.

[0574] 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.

[0575] In this invention, the server includes means for registering biometric authentication information and personal data, means for performing image recognition, and means for identifying and authorizing the use of priority checkouts. This enables safe and efficient service use by the elderly or those requiring assistance, and facilitates appropriate information sharing with family members and caregivers.

[0576] The term "elderly" generally refers to people who are older and require special support or consideration in their daily lives.

[0577] A "person requiring support" refers to an individual who needs some form of assistance in their daily life due to physical or mental reasons.

[0578] "Biometric information" refers to information that uses biological characteristics that can identify an individual, such as facial photographs, fingerprints, and iris scans.

[0579] "Personal data" refers to information about an individual, including information that can individually identify an individual, such as their name, address, and contact information.

[0580] "Means of registration" refers to a method or device for storing data within a system, enabling subsequent processing and retrieval.

[0581] "Means of performing image recognition" refers to technologies that analyze image data acquired using cameras or sensors and identify its content.

[0582] "Priority checkout" refers to a special checkout procedure that allows customers who meet certain conditions to process their payments faster than usual.

[0583] "Means of identification and authorization" refers to criteria or devices for authorizing a certain action based on specific information or conditions.

[0584] A "commercial facility" refers to a building or area constructed for the purpose of selling goods or services.

[0585] The "Global Positioning System" refers to a system that uses artificial satellites to measure your current location on Earth with high precision.

[0586] This invention is a system designed to make life more convenient for the elderly and those requiring assistance in commercial facilities. The following describes a specific implementation of this system.

[0587] Users install a dedicated application on their smartphones or tablets and first register their biometric authentication information (e.g., a facial photograph) and personal data. During this registration process, the device accepts input and then sends the data to the server. The server processes the received information and generates a facial recognition profile using a facial recognition algorithm. Image analysis software and database systems are used for this server-side processing, such as TensorFlow and MySQL.

[0588] Image recognition terminals installed in commercial facilities capture a user's face when they enter the facility. The terminal immediately sends the acquired image data to a server. The server compares it with registered facial recognition profiles. If the comparison is successful, the server informs the terminal that it is authorized to use a priority checkout counter, and the user can use the designated checkout counter. This entire process provides users with the convenience of reduced waiting times at the checkout counter.

[0589] Furthermore, users can input and manage their shopping lists using the application. The input shopping lists are processed by AI via the terminal to calculate and present efficient routes within the shopping facility. Generative AI models are used for the AI ​​processing, and specific software such as PyTorch is used.

[0590] When a user travels using public transportation, they input destination information through the application. This information is sent from the terminal to a server, which uses the Global Positioning System (GPS) to track the user's location in real time. Based on this location information, the server sends the user's movement information to registered notification recipients, allowing family members and caregivers to confirm the user's safety. This process utilizes GIS software and communication protocols.

[0591] As a concrete example, the following prompt can be used for a shopping route calculated by a generative AI model and a process to verify the user's safe movement: "An elderly person uses facial recognition at a supermarket to access priority checkout and completes their shopping using an efficient route suggested by AI based on their shopping list. Please describe an example where the destination is entered into the app and travel information is automatically notified."

[0592] The above describes the modes for carrying out the invention.

[0593] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0594] Step 1:

[0595] The user launches a smartphone application and enters biometric authentication information and personal data. Based on this, the device collects this data. The entered facial image is sent to the server as image data, and the personal information is sent as text data. The device formats and encrypts the data to prevent data transmission errors and ensures secure transmission to the server.

[0596] Step 2:

[0597] The server analyzes the received biometric information and generates a facial recognition profile. In this process, image recognition software extracts facial features. Facial feature points and patterns are quantified and registered in a database. The server verifies the uniqueness of the profile and checks for any duplication with existing data.

[0598] Step 3:

[0599] When a user enters a commercial facility, a terminal installed there uses a camera to capture the user's face. The terminal immediately sends this captured facial image data to a server. The terminal then performs image preprocessing, such as white balance adjustment and noise reduction, to improve authentication accuracy.

[0600] Step 4:

[0601] The server quickly matches the transmitted facial data with the registered profile. A high-speed image matching algorithm is used to score the degree of match. If the score exceeds a certain threshold, the user is deemed authenticated. The server sends the authentication result back to the terminal, and the user receives permission to use the priority checkout.

[0602] Step 5:

[0603] The user enters their shopping list into the app. The device sends this text data to the server. The server uses a generative AI model to calculate the optimal route by referencing the shopping list and the layout data of the commercial facility. The calculated route information is sent to the device and presented to the user.

[0604] Step 6:

[0605] When a user enters a destination and starts moving, the device sends that information to the server. The server tracks GPS data in real time to confirm the current location and travel route. To ensure user safety, location information is automatically sent to registered notification recipients. A mechanism is included to immediately send an alert if an abnormal movement pattern is detected.

[0606] This series of processes allows the system to provide safe and efficient support.

[0607] (Application Example 1)

[0608] 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."

[0609] The problem that this invention aims to solve is to provide an environment in which elderly people or those requiring assistance can shop smoothly and efficiently in commercial facilities and share information safely and smoothly when using means of transportation. Existing systems are insufficient in improving convenience through biometric authentication and optimization of travel routes, and in particular lack real-time information on congestion and visual support utilizing augmented reality technology. Therefore, there is a need to make the shopping and travel experience for the elderly more autonomous and safer.

[0610] 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.

[0611] In this invention, the server includes means for performing biometric authentication, means for recognizing and authorizing the use of a special register, and means for visually presenting an effective route based on the purchase list. This enables elderly people and those requiring assistance to shop autonomously within commercial facilities, confirm their route using augmented reality with visual assistance devices, understand the congestion situation within the facility in real time, and take optimal action. It also enables tracking the current location using a location measurement system and remotely transmitting updated data for security to a registered location.

[0612] "Elderly people or those requiring support" refers to individuals who require special consideration or assistance in their daily lives.

[0613] "Data" refers to information related to users, including personal information and purchase history, that is necessary for the system to function.

[0614] "Biometric authentication" is a technology that uses physical characteristics such as facial features to authenticate and uniquely identify individual users.

[0615] A "commercial facility" refers to a physical store or complex where people can go to purchase goods.

[0616] A "special register" refers to a checkout counter that allows for faster and priority service compared to regular registers.

[0617] A "purchase list" is a list of products or services that a user plans to purchase.

[0618] An "effective route" refers to the most efficient route for moving within a commercial facility to achieve a specified objective.

[0619] "Visual assistance devices" are devices that allow users to acquire information visually, and include head-mounted displays and smart glasses.

[0620] Augmented reality is a technology that overlays virtual information onto the real world environment, providing users with new visual information.

[0621] "Crowding status" refers to information indicating the density of people and waiting times within a commercial facility.

[0622] A "location measurement system" is a technology that uses GPS to measure the user's current coordinate location.

[0623] "Security update data" refers to data that includes the latest status information necessary to ensure the safety of users.

[0624] This invention is a system that comprehensively supports elderly people and those requiring assistance, from shopping at commercial facilities to their mobility. This system utilizes digital data and biometric authentication technology to improve the user's shopping experience and safety during travel.

[0625] The core server of the system first registers data on elderly and those requiring assistance, and then performs biometric authentication using peripheral devices such as smart glasses and head-mounted displays. OpenCV and AWS Rekognition are used for biometric authentication, and data is sent to the server immediately for verification.

[0626] When users purchase items within a commercial facility, the system utilizes the Vuforia library via visual aids to present an effective augmented reality route. Route optimization based on the purchase list leverages the Google Maps API. This feature allows users to find items quickly and efficiently. Furthermore, the system acquires real-time congestion data within the facility, analyzes this data using TensorFlow, and presents the user with the optimal checkout or travel route.

[0627] Furthermore, when using means of transportation, a GPS-equipped smart device measures the current location and transmits the location information to a server in real time. This information is automatically sent to pre-registered contacts, ensuring safety.

[0628] As a concrete example, when an elderly person purchases food at a shopping mall, facial recognition is performed by wearing glasses, and the shortest route to the shelves is visually guided according to a pre-entered shopping list. At the same time, the system checks the congestion status of special checkout counters in real time and notifies the customer of the optimal time to pay. Furthermore, when the customer moves to their destination after shopping, their travel information is automatically notified to their family so that they can return home safely.

[0629] Examples of prompts for a generative AI model are as follows:

[0630] "What features can be offered using smart glasses to improve the shopping experience for seniors? Please suggest ways to optimize product navigation and checkout using facial recognition and AR technology."

[0631] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0632] Step 1:

[0633] The terminal inputs user data. As an initial setup, personal information and a facial photograph of the elderly or person requiring assistance are entered into the terminal. This data is sent to the server, where a facial recognition profile is created by AWS Rekognition using OpenCV and registered in the system.

[0634] Step 2:

[0635] When a user arrives at a commercial facility, the smart glasses, which act as a terminal, capture the user's face. This facial data is sent to a server and compared with registered information in a database. Based on the comparison, the server determines whether biometric authentication was successful and notifies the terminal. If successful, the terminal proceeds to visual verification.

[0636] Step 3:

[0637] The user's device inputs a shopping list for the commercial facility. Based on this list, the device uses the Google Maps API and the facility's internal data to calculate the most efficient route. The server returns the result to the device as augmented reality using the Vuforia library, displaying the route in the user's field of view.

[0638] Step 4:

[0639] The terminal receives sensor information from within the facility and analyzes congestion levels in real time. The server uses TensorFlow to analyze the obtained data and predict congestion levels at special checkout counters. The server sends the results to the terminal and notifies the user of the optimal checkout time and checkout counter.

[0640] Step 5:

[0641] When a user finishes shopping and uses a means of transportation, destination data is entered into the terminal. The terminal's GPS function is used to obtain the current location, and this location data is sent to the server. Based on this information, the server automatically sends the travel information to registered contacts for security purposes, providing peace of mind.

[0642] Step 6:

[0643] The system generates overall feedback from the server and stores data on how users benefited from the experience. This data is then used through a generating AI model to improve future prompt messages.

[0644] 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.

[0645] This invention is a system that utilizes digital technology to support the lives of the elderly or those requiring assistance, and in particular incorporates an emotion engine. This makes it possible to understand an individual's emotional state and provide services and support accordingly.

[0646] This system begins with the user registering personal information and a facial photograph using an application. The terminal sends the collected information to a server, which generates and stores a facial recognition profile. When the user visits a supermarket, the terminal scans the user's face, and the server matches it against the database to grant permission to use the priority checkout counter.

[0647] The emotion engine analyzes the user's facial expression data in real time. This data is also acquired during facial recognition and sent to the server as basic information to provide support tailored to the user's emotional state. Based on this information, the server can adjust the shopping route within the app as needed, suggesting a route that minimizes stress for the user.

[0648] Furthermore, when a user registers destination information in the app, emotional data related to their mode of transportation is also collected. The server understands the user's emotional state and sends reassuring messages to registered family members or caregivers along with information about the user's travel status. This allows recipients to understand the user's current feelings while receiving information about the safety of their travel.

[0649] As a concrete example, consider a scenario where an elderly user is about to take a taxi after shopping at a supermarket. If the emotion engine detects the user's anxious expression, the server will display the shopping route slowly to provide reassurance and send reassuring messages to registered family members during the ride. In this way, the user's psychological burden is reduced, and appropriate assistance can be provided using the surrounding support network.

[0650] This system offers an advanced method to make the daily lives of the elderly and those requiring assistance more comfortable and independent.

[0651] The following describes the processing flow.

[0652] Step 1:

[0653] The user installs and launches the application on their smart device. The device displays a user registration screen and prompts the user to enter the required personal information and a photo of their face.

[0654] Step 2:

[0655] The user enters their name, contact information, and a profile picture, and then presses a button to complete registration. The device sends this information to the server.

[0656] Step 3:

[0657] The server generates a facial recognition profile based on the received personal information and facial photograph, and stores it in a database.

[0658] Step 4:

[0659] The user arrives at the supermarket and moves towards the entrance to use the priority checkout. The terminal's camera automatically activates and captures the user's face.

[0660] Step 5:

[0661] The device transmits the collected facial data to the server in real time. The server compares this data with the stored profile and performs authentication.

[0662] Step 6:

[0663] If the server successfully authenticates, it sends the result to the terminal. The terminal notifies the user of the successful authentication and indicates that the priority cashier is now available.

[0664] Step 7:

[0665] The user enters their shopping list into the app and requests a shopping route suggestion. The device then sends this information to the server.

[0666] Step 8:

[0667] The server uses AI to calculate an efficient shopping route based on the shopping list and sends the suggested route to the terminal.

[0668] Step 9:

[0669] The device displays the shopping route on a map and guides the user with voice or visual instructions.

[0670] Step 10:

[0671] The emotion engine analyzes the user's facial expressions and detects their emotional state. The device then sends this data to the server.

[0672] Step 11:

[0673] Based on emotional data, the server adjusts shopping routes as needed and makes suggestions that do not stress the user.

[0674] Step 12:

[0675] When a user uses a taxi, they enter their destination into the terminal. The terminal sends this information to the server and also reports their emotional state.

[0676] Step 13:

[0677] The server sends movement information to the registered user and adds a reassuring message based on emotional data.

[0678] Step 14:

[0679] The server tracks the user's current location via GPS and continuously sends location information and emotional state updates to the notification recipient.

[0680] (Example 2)

[0681] 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."

[0682] Elderly people and those requiring assistance face many challenges in their daily lives, and there is a need to reduce the psychological burden on them when moving safely and comfortably, and when performing daily activities such as shopping. In particular, there is a need to provide appropriate support that is tailored to their emotions and to coordinate with the surrounding support network.

[0683] 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.

[0684] In this invention, the server includes means for registering biometric information, means for performing biometric authentication, and means for recognizing and authorizing the use of priority equipment. This enables support for elderly people and those requiring assistance to carry out activities in retail stores more efficiently and stress-free, and to ensure safe movement.

[0685] "Biometric information" refers to data related to physical characteristics used to identify elderly individuals or those requiring assistance.

[0686] "Biometric authentication" is a technology that verifies an individual based on registered biometric information.

[0687] A "retail store" refers to a facility that sells goods to consumers, and typically includes supermarkets.

[0688] "Priority facilities" refer to special services or equipment intended for use by the elderly or those requiring assistance.

[0689] "Emotional state" refers to a psychological state that can be understood by analyzing an individual's facial expression data.

[0690] A "computer device" is an electronic device used for data processing, and usually refers to a terminal.

[0691] An "information processing device" refers to a server used for biometric authentication and data verification.

[0692] "Location information technology" refers to technologies that identify and track a person's current location, including GPS.

[0693] "Reassuring information" refers to information transmitted to reduce anxiety and stress that arise during travel or daily activities.

[0694] This invention is a system for supporting the daily lives of the elderly or those requiring assistance. The system uses biometric authentication technology and emotion recognition technology to provide personalized support. Specifically, its functionality is realized through the cooperation of the user, terminal, and server.

[0695] Users operate a dedicated application on a device such as a smartphone or tablet to register their biometric information (e.g., a facial photograph). The device transmits this biometric information to a server using a secure communication protocol. The server uses the registered information to perform biometric authentication on the individual and generates and stores a profile in a database.

[0696] The terminal scans the user's face in real time at facilities such as retail stores and sends the data to a server. The server uses a facial recognition algorithm to match the scanned data with a profile in its database. This allows the user to obtain permission to use priority facilities.

[0697] Furthermore, the device analyzes the user's facial expression data in real time to recognize their emotional state. Based on the obtained emotional data, the server proposes the optimal route that will not cause the user stress. Also, when the user registers destination information on the device, the server uses location information technology to send current movement information and reassuring messages to registered contacts. In this way, real-time support, including travel assistance, is provided.

[0698] As a concrete example, consider a scenario where elderly people receive priority service after shopping at a retail store, combining facial recognition and emotion recognition. The following is an example of a prompt message to be input to a generative AI model.

[0699] "We'll explain how the system helps elderly people who are anxiously waiting for a taxi after finishing their grocery shopping."

[0700] This system offers an advanced approach to improving the quality of life for the elderly and those requiring assistance.

[0701] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0702] Step 1:

[0703] Users access a dedicated application and register by entering their biometric information (e.g., a facial photograph).

[0704] The device receives personal data as input and temporarily stores it within the device. The device then transmits this registered biometric information to the server using a secure protocol. Specifically, the device takes a photo of the user's face and transmits the image file using SSL / TLS. The output is the face photo data transmitted to the server.

[0705] Step 2:

[0706] The server receives biometric information transmitted from the terminal and generates a biometric authentication profile using a facial recognition algorithm.

[0707] The system analyzes facial image data as input and extracts feature vectors. These feature vectors are stored in a database and managed as biometric authentication profiles. The output is the authentication profile stored in the database.

[0708] Step 3:

[0709] When a user visits a retail store, the terminal scans the user's face in real time.

[0710] The input is the user's current facial image data. The terminal's camera device captures this data and sends it to the server. The output is the transmission of real-time facial image data to the server.

[0711] Step 4:

[0712] The server compares the received facial image with the authentication profile in the database.

[0713] Using real-time facial image data as input, a sophisticated facial recognition algorithm performs matching. If a profile matches, priority equipment use authorization is issued. The output is the authorization result signal.

[0714] Step 5:

[0715] The terminal receives authorization results from the server and notifies the user of the availability of priority equipment.

[0716] Specifically, a message saying "Priority use is available" is displayed on the terminal's user interface. The input is the authorization result signal, and the output is an update to the user interface.

[0717] Step 6:

[0718] The device analyzes the user's facial expression data in real time and evaluates their emotional state.

[0719] The input is facial expression data obtained from the user's facial image. The emotion analysis engine processes this data and classifies the user's emotional state. The output is the classified emotion data.

[0720] Step 7:

[0721] The server receives the evaluated emotional state data and suggests a route to the terminal that is less likely to cause stress.

[0722] The input is classified sentiment data, and the AI ​​model calculates the optimal route. The calculated route information is sent to the terminal. The output is the route information suggested to the user.

[0723] Step 8:

[0724] When a user registers destination information in the app, the device collects movement information in real time.

[0725] The input consists of destination information and current location data. This data is obtained using location information technology. The output is movement information sent to the server.

[0726] Step 9:

[0727] The server sends reassuring information to registered contacts based on their movement information.

[0728] The inputs are the user's movement status and emotional state. The server integrates these to generate a reassurance message and sends it to the designated contact. The output is the sent reassurance message.

[0729] (Application Example 2)

[0730] 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."

[0731] There is a lack of systems that provide an environment where elderly people or those requiring assistance can shop and travel safely and comfortably, and that enable appropriate support based on their emotional state. Furthermore, there is a need for support that reduces stress and makes them feel secure when shopping.

[0732] 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.

[0733] In this invention, the server includes means for registering the biological information of elderly or disabled persons, means for suggesting and displaying efficient routes based on purchase items within the sales facility, and means for analyzing the emotional state of the user and providing guidance that gives a sense of security within the store. This makes it possible for elderly and disabled persons to shop and move around with peace of mind.

[0734] "Elderly person" refers to an individual aged 65 or older who may require support in various activities.

[0735] A "person requiring support" refers to someone who needs some form of external assistance in specific daily activities.

[0736] "Biological information" refers to information that includes physical characteristics that can identify an individual, such as their face, fingerprints, and voice.

[0737] "Facial recognition" refers to a technology that recognizes and identifies individuals based on the biological characteristics of registered faces.

[0738] A "sales facility" refers to a physical location established to provide goods or services.

[0739] A "priority payment terminal" refers to a dedicated device designed to speed up the normal payment process.

[0740] "Purchase items" refer to a list of goods and services that a consumer wishes to purchase.

[0741] "Providing a route" means informing users of the optimal route from a specific starting point to their destination.

[0742] "Emotional state" refers to an individual's psychological state, including heightened or diminished emotions, joy, anger, anxiety, and other such feelings.

[0743] "Providing reassuring guidance" refers to presenting information that helps users reduce anxiety and feel safer.

[0744] The system for implementing this invention is designed to support safe and comfortable shopping and mobility for the elderly or those requiring assistance. The system operates primarily around facial recognition technology utilizing edge computing devices and an emotion engine that analyzes the user's emotional state. Specifically, it acquires biological facial information via the camera of a smartphone or dedicated terminal and analyzes emotions using software such as OpenCV and TensorFlow. This allows for a timely understanding of the user's psychological state.

[0745] The server receives user emotional data and uses this information to calculate the optimal route within the sales facility. This route is designed to minimize user anxiety and is graphically represented by the program. Furthermore, if the user's emotions indicate anxiety or fatigue, the system sends reassuring messages to the user's family or caregivers. Twilio API and similar communication platforms are used for communication to ensure fast and reliable contact.

[0746] As a concrete example, when a user visits a crowded shopping facility, the emotional engine detects stress from their facial expressions and guides them to relaxing spots or stores. At the same time, it sends this information to their family in a remote location, conveying a reassuring message that "the user is continuing to shop safely." An example of a prompt message would be, "When an elderly person feels stressed in a crowded environment, please provide guidance to help them relax and send a reassuring message to their family." This system reduces the psychological burden on the elderly and those requiring assistance, enabling them to participate in society with greater peace of mind.

[0747] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0748] Step 1:

[0749] The device boots up and captures an image of the user's face using its camera, which serves as biological information. This information becomes the input for the facial recognition process. The device uses OpenCV to process the image and extract facial features.

[0750] Step 2:

[0751] The terminal transmits the extracted facial features to the server via an edge computing device. The server uses facial recognition technology to match them against existing profiles in its database and identify the user. The output here is the user's authentication status.

[0752] Step 3:

[0753] The server uses TensorFlow to analyze facial expression data in real time to analyze the emotional state of authenticated users. At this stage, facial expression data from the terminal is used as input to determine whether the user is happy, anxious, or angry.

[0754] Step 4:

[0755] The server calculates a suitable route within the sales facility for the user based on their analyzed emotional state. The input is the user's emotional state and facility map data, and the output is a route designed to reduce stress for the user. The calculation results are sent to and displayed on the terminal.

[0756] Step 5:

[0757] The user moves along the route displayed on the device. During the journey, the device continues to monitor the user's emotional state and notifies the server as needed.

[0758] Step 6:

[0759] If the server determines that a user is experiencing stress, it uses the Twilio API to send a reassurance message to pre-registered recipients (family or caregivers). This output is a reassurance message that informs the recipients of the user's condition.

[0760] 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.

[0761] 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.

[0762] 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.

[0763] [Fourth Embodiment]

[0764] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0765] 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.

[0766] 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).

[0767] 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.

[0768] 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.

[0769] 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).

[0770] 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.

[0771] 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.

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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".

[0777] The system of this invention aims to provide greater convenience in daily life for the elderly or those requiring assistance, and utilizes facial recognition technology and digital information. This system is primarily implemented in the following ways.

[0778] User Registration

[0779] The user first installs the application and enters their facial photo and basic personal information. This information is sent from the device to the server, which registers it in a database. The facial photo is stored in the system as a facial recognition profile.

[0780] Facial recognition and improved shopping convenience

[0781] Facial recognition terminals installed in stores capture a user's face as they enter the supermarket. The terminal sends the acquired facial data to a server, which matches it against a registered profile. If authentication is successful, the user can use the priority cashier, reducing waiting times at the checkout. Furthermore, when a user enters their shopping list into the app, the terminal uses AI technology to display an efficient shopping route, supporting smooth product acquisition.

[0782] Transportation support

[0783] When a user travels using public transportation, they enter their destination into the app. The device sends the information to a server, which automatically sends the travel information to registered family members or caregivers. Furthermore, the device is equipped with GPS functionality to track the user's current location and send updated information to ensure safety.

[0784] Specific example

[0785] For example, when a woman in her 70s buys everyday groceries at a local supermarket, she can use the app to perform facial recognition and access priority checkouts, reducing her waiting time. She can also enter her shopping list into the app, which will suggest an efficient route, allowing her to complete her shopping quickly. Later, when she takes a taxi to a nearby hospital, she enters her destination into the app, and her son, who is automatically registered in the app, receives notifications about her progress.

[0786] Thus, this system is an innovative solution that enables the elderly and those requiring assistance to overcome daily challenges and live more independent lives.

[0787] The following describes the processing flow.

[0788] Step 1:

[0789] The user installs and launches the application. The terminal displays the user interface and prompts for registration.

[0790] Step 2:

[0791] The user enters their name, a photo, and contact information, and then executes a command to send it to the device.

[0792] Step 3:

[0793] The device collects the entered personal information and facial image and sends it to the server.

[0794] Step 4:

[0795] The server analyzes the received information and generates a facial recognition profile. The generated profile is stored in a database.

[0796] Step 5:

[0797] When a user arrives in front of the supermarket's priority checkout counter, the terminal's camera automatically activates and captures the user's face.

[0798] Step 6:

[0799] The device transmits the acquired facial data to the server in real time.

[0800] Step 7:

[0801] The server compares the received facial data with existing facial recognition profiles and verifies the result.

[0802] Step 8:

[0803] If the verification result from the server is successful, a notification of successful authentication is sent to the terminal.

[0804] Step 9:

[0805] The terminal displays information indicating successful authentication and prompts the user to use the priority cashier.

[0806] Step 10:

[0807] When a user enters a shopping list into the app, the device sends it to the server.

[0808] Step 11:

[0809] The server analyzes the shopping list and uses AI to calculate the most efficient shopping route. The calculated route information is then sent to the terminal.

[0810] Step 12:

[0811] The device displays route guidance on a map to the user and provides voice guidance indicating the location of the product.

[0812] Step 13:

[0813] When a user travels using public transportation, the device inputs destination information into the app.

[0814] Step 14:

[0815] The terminal sends destination information to the server and executes a command to automatically send movement information to the registered notification recipient (family member or caregiver).

[0816] Step 15:

[0817] The server updates GPS data based on the received movement information and tracks the user's current location. It sends the latest movement status to the notification recipient, ensuring security.

[0818] (Example 1)

[0819] 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".

[0820] Elderly people and those requiring assistance face many difficulties in their daily lives, and particularly need safe and efficient support when waiting in line at commercial facilities or using public transportation. Furthermore, it is crucial to appropriately inform family members and caregivers about these services. Conventional systems do not adequately address these needs, and there is a need to improve user convenience and safety.

[0821] 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.

[0822] In this invention, the server includes means for registering biometric authentication information and personal data, means for performing image recognition, and means for identifying and authorizing the use of priority checkouts. This enables safe and efficient service use by the elderly or those requiring assistance, and facilitates appropriate information sharing with family members and caregivers.

[0823] The term "elderly" generally refers to people who are older and require special support or consideration in their daily lives.

[0824] A "person requiring support" refers to an individual who needs some form of assistance in their daily life due to physical or mental reasons.

[0825] "Biometric information" refers to information that uses biological characteristics that can identify an individual, such as facial photographs, fingerprints, and iris scans.

[0826] "Personal data" refers to information about an individual, including information that can individually identify an individual, such as their name, address, and contact information.

[0827] "Means of registration" refers to a method or device for storing data within a system, enabling subsequent processing and retrieval.

[0828] "Means of performing image recognition" refers to technologies that analyze image data acquired using cameras or sensors and identify its content.

[0829] "Priority checkout" refers to a special checkout procedure that allows customers who meet certain conditions to process their payments faster than usual.

[0830] "Means of identification and authorization" refers to criteria or devices for authorizing a certain action based on specific information or conditions.

[0831] A "commercial facility" refers to a building or area constructed for the purpose of selling goods or services.

[0832] The "Global Positioning System" refers to a system that uses artificial satellites to measure your current location on Earth with high precision.

[0833] This invention is a system designed to make life more convenient for the elderly and those requiring assistance in commercial facilities. The following describes a specific implementation of this system.

[0834] Users install a dedicated application on their smartphones or tablets and first register their biometric authentication information (e.g., a facial photograph) and personal data. During this registration process, the device accepts input and then sends the data to the server. The server processes the received information and generates a facial recognition profile using a facial recognition algorithm. Image analysis software and database systems are used for this server-side processing, such as TensorFlow and MySQL.

[0835] Image recognition terminals installed in commercial facilities capture a user's face when they enter the facility. The terminal immediately sends the acquired image data to a server. The server compares it with registered facial recognition profiles. If the comparison is successful, the server informs the terminal that it is authorized to use a priority checkout counter, and the user can use the designated checkout counter. This entire process provides users with the convenience of reduced waiting times at the checkout counter.

[0836] Furthermore, users can input and manage their shopping lists using the application. The input shopping lists are processed by AI via the terminal to calculate and present efficient routes within the shopping facility. Generative AI models are used for the AI ​​processing, and specific software such as PyTorch is used.

[0837] When a user travels using public transportation, they input destination information through the application. This information is sent from the terminal to a server, which uses the Global Positioning System (GPS) to track the user's location in real time. Based on this location information, the server sends the user's movement information to registered notification recipients, allowing family members and caregivers to confirm the user's safety. This process utilizes GIS software and communication protocols.

[0838] As a concrete example, the following prompt can be used for a shopping route calculated by a generative AI model and a process to verify the user's safe movement: "An elderly person uses facial recognition at a supermarket to access priority checkout and completes their shopping using an efficient route suggested by AI based on their shopping list. Please describe an example where the destination is entered into the app and travel information is automatically notified."

[0839] The above describes the modes for carrying out the invention.

[0840] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0841] Step 1:

[0842] The user launches a smartphone application and enters biometric authentication information and personal data. Based on this, the device collects this data. The entered facial image is sent to the server as image data, and the personal information is sent as text data. The device formats and encrypts the data to prevent data transmission errors and ensures secure transmission to the server.

[0843] Step 2:

[0844] The server analyzes the received biometric information and generates a facial recognition profile. In this process, image recognition software extracts facial features. Facial feature points and patterns are quantified and registered in a database. The server verifies the uniqueness of the profile and checks for any duplication with existing data.

[0845] Step 3:

[0846] When a user enters a commercial facility, a terminal installed there uses a camera to capture the user's face. The terminal immediately sends this captured facial image data to a server. The terminal then performs image preprocessing, such as white balance adjustment and noise reduction, to improve authentication accuracy.

[0847] Step 4:

[0848] The server quickly matches the transmitted facial data with the registered profile. A high-speed image matching algorithm is used to score the degree of match. If the score exceeds a certain threshold, the user is deemed authenticated. The server sends the authentication result back to the terminal, and the user receives permission to use the priority checkout.

[0849] Step 5:

[0850] The user enters their shopping list into the app. The device sends this text data to the server. The server uses a generative AI model to calculate the optimal route by referencing the shopping list and the layout data of the commercial facility. The calculated route information is sent to the device and presented to the user.

[0851] Step 6:

[0852] When a user enters a destination and starts moving, the device sends that information to the server. The server tracks GPS data in real time to confirm the current location and travel route. To ensure user safety, location information is automatically sent to registered notification recipients. A mechanism is included to immediately send an alert if an abnormal movement pattern is detected.

[0853] This series of processes allows the system to provide safe and efficient support.

[0854] (Application Example 1)

[0855] 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".

[0856] The problem that this invention aims to solve is to provide an environment in which elderly people or those requiring assistance can shop smoothly and efficiently in commercial facilities and share information safely and smoothly when using means of transportation. Existing systems are insufficient in improving convenience through biometric authentication and optimization of travel routes, and in particular lack real-time information on congestion and visual support utilizing augmented reality technology. Therefore, there is a need to make the shopping and travel experience for the elderly more autonomous and safer.

[0857] 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.

[0858] In this invention, the server includes means for performing biometric authentication, means for recognizing and authorizing the use of a special register, and means for visually presenting an effective route based on the purchase list. This enables elderly people and those requiring assistance to shop autonomously within commercial facilities, confirm their route using augmented reality with visual assistance devices, understand the congestion situation within the facility in real time, and take optimal action. It also enables tracking the current location using a location measurement system and remotely transmitting updated data for security to a registered location.

[0859] "Elderly people or those requiring support" refers to individuals who require special consideration or assistance in their daily lives.

[0860] "Data" refers to information related to users, including personal information and purchase history, that is necessary for the system to function.

[0861] "Biometric authentication" is a technology that uses physical characteristics such as facial features to authenticate and uniquely identify individual users.

[0862] A "commercial facility" refers to a physical store or complex where people can go to purchase goods.

[0863] A "special register" refers to a checkout counter that allows for faster and priority service compared to regular registers.

[0864] A "purchase list" is a list of products or services that a user plans to purchase.

[0865] An "effective route" refers to the most efficient route for moving within a commercial facility to achieve a specified objective.

[0866] "Visual assistance devices" are devices that allow users to acquire information visually, and include head-mounted displays and smart glasses.

[0867] Augmented reality is a technology that overlays virtual information onto the real world environment, providing users with new visual information.

[0868] "Crowding status" refers to information indicating the density of people and waiting times within a commercial facility.

[0869] A "location measurement system" is a technology that uses GPS to measure the user's current coordinate location.

[0870] "Security update data" refers to data that includes the latest status information necessary to ensure the safety of users.

[0871] This invention is a system that comprehensively supports elderly people and those requiring assistance, from shopping at commercial facilities to their mobility. This system utilizes digital data and biometric authentication technology to improve the user's shopping experience and safety during travel.

[0872] The core server of the system first registers data on elderly and those requiring assistance, and then performs biometric authentication using peripheral devices such as smart glasses and head-mounted displays. OpenCV and AWS Rekognition are used for biometric authentication, and data is sent to the server immediately for verification.

[0873] When users purchase items within a commercial facility, the system utilizes the Vuforia library via visual aids to present an effective augmented reality route. Route optimization based on the purchase list leverages the Google Maps API. This feature allows users to find items quickly and efficiently. Furthermore, the system acquires real-time congestion data within the facility, analyzes this data using TensorFlow, and presents the user with the optimal checkout or travel route.

[0874] Furthermore, when using means of transportation, a GPS-equipped smart device measures the current location and transmits the location information to a server in real time. This information is automatically sent to pre-registered contacts, ensuring safety.

[0875] As a concrete example, when an elderly person purchases food at a shopping mall, facial recognition is performed by wearing glasses, and the shortest route to the shelves is visually guided according to a pre-entered shopping list. At the same time, the system checks the congestion status of special checkout counters in real time and notifies the customer of the optimal time to pay. Furthermore, when the customer moves to their destination after shopping, their travel information is automatically notified to their family so that they can return home safely.

[0876] Examples of prompts for a generative AI model are as follows:

[0877] "What features can be offered using smart glasses to improve the shopping experience for seniors? Please suggest ways to optimize product navigation and checkout using facial recognition and AR technology."

[0878] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0879] Step 1:

[0880] The terminal inputs user data. As an initial setup, personal information and a facial photograph of the elderly or person requiring assistance are entered into the terminal. This data is sent to the server, where a facial recognition profile is created by AWS Rekognition using OpenCV and registered in the system.

[0881] Step 2:

[0882] When a user arrives at a commercial facility, the smart glasses, which act as a terminal, capture the user's face. This facial data is sent to a server and compared with registered information in a database. Based on the comparison, the server determines whether biometric authentication was successful and notifies the terminal. If successful, the terminal proceeds to visual verification.

[0883] Step 3:

[0884] The user's device inputs a shopping list for the commercial facility. Based on this list, the device uses the Google Maps API and the facility's internal data to calculate the most efficient route. The server returns the result to the device as augmented reality using the Vuforia library, displaying the route in the user's field of view.

[0885] Step 4:

[0886] The terminal receives sensor information from within the facility and analyzes congestion levels in real time. The server uses TensorFlow to analyze the obtained data and predict congestion levels at special checkout counters. The server sends the results to the terminal and notifies the user of the optimal checkout time and checkout counter.

[0887] Step 5:

[0888] When a user finishes shopping and uses a means of transportation, destination data is entered into the terminal. The terminal's GPS function is used to obtain the current location, and this location data is sent to the server. Based on this information, the server automatically sends the travel information to registered contacts for security purposes, providing peace of mind.

[0889] Step 6:

[0890] The system generates overall feedback from the server and stores data on how users benefited from the experience. This data is then used through a generating AI model to improve future prompt messages.

[0891] 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.

[0892] This invention is a system that utilizes digital technology to support the lives of the elderly or those requiring assistance, and in particular incorporates an emotion engine. This makes it possible to understand an individual's emotional state and provide services and support accordingly.

[0893] This system begins with the user registering personal information and a facial photograph using an application. The terminal sends the collected information to a server, which generates and stores a facial recognition profile. When the user visits a supermarket, the terminal scans the user's face, and the server matches it against the database to grant permission to use the priority checkout counter.

[0894] The emotion engine analyzes the user's facial expression data in real time. This data is also acquired during facial recognition and sent to the server as basic information to provide support tailored to the user's emotional state. Based on this information, the server can adjust the shopping route within the app as needed, suggesting a route that minimizes stress for the user.

[0895] Furthermore, when a user registers destination information in the app, emotional data related to their mode of transportation is also collected. The server understands the user's emotional state and sends reassuring messages to registered family members or caregivers along with information about the user's travel status. This allows recipients to understand the user's current feelings while receiving information about the safety of their travel.

[0896] As a concrete example, consider a scenario where an elderly user is about to take a taxi after shopping at a supermarket. If the emotion engine detects the user's anxious expression, the server will display the shopping route slowly to provide reassurance and send reassuring messages to registered family members during the ride. In this way, the user's psychological burden is reduced, and appropriate assistance can be provided using the surrounding support network.

[0897] This system offers an advanced method to make the daily lives of the elderly and those requiring assistance more comfortable and independent.

[0898] The following describes the processing flow.

[0899] Step 1:

[0900] The user installs and launches the application on their smart device. The device displays a user registration screen and prompts the user to enter the required personal information and a photo of their face.

[0901] Step 2:

[0902] The user enters their name, contact information, and a profile picture, and then presses a button to complete registration. The device sends this information to the server.

[0903] Step 3:

[0904] The server generates a facial recognition profile based on the received personal information and facial photograph, and stores it in a database.

[0905] Step 4:

[0906] The user arrives at the supermarket and moves towards the entrance to use the priority checkout. The terminal's camera automatically activates and captures the user's face.

[0907] Step 5:

[0908] The device transmits the collected facial data to the server in real time. The server compares this data with the stored profile and performs authentication.

[0909] Step 6:

[0910] If the server successfully authenticates, it sends the result to the terminal. The terminal notifies the user of the successful authentication and indicates that the priority cashier is now available.

[0911] Step 7:

[0912] The user enters their shopping list into the app and requests a shopping route suggestion. The device then sends this information to the server.

[0913] Step 8:

[0914] The server uses AI to calculate an efficient shopping route based on the shopping list and sends the suggested route to the terminal.

[0915] Step 9:

[0916] The device displays the shopping route on a map and guides the user with voice or visual instructions.

[0917] Step 10:

[0918] The emotion engine analyzes the user's facial expressions and detects their emotional state. The device then sends this data to the server.

[0919] Step 11:

[0920] Based on emotional data, the server adjusts shopping routes as needed and makes suggestions that do not stress the user.

[0921] Step 12:

[0922] When a user uses a taxi, they enter their destination into the terminal. The terminal sends this information to the server and also reports their emotional state.

[0923] Step 13:

[0924] The server sends movement information to the registered user and adds a reassuring message based on emotional data.

[0925] Step 14:

[0926] The server tracks the user's current location via GPS and continuously sends location information and emotional state updates to the notification recipient.

[0927] (Example 2)

[0928] 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".

[0929] Elderly people and those requiring assistance face many challenges in their daily lives, and there is a need to reduce the psychological burden on them when moving safely and comfortably, and when performing daily activities such as shopping. In particular, there is a need to provide appropriate support that is tailored to their emotions and to coordinate with the surrounding support network.

[0930] 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.

[0931] In this invention, the server includes means for registering biometric information, means for performing biometric authentication, and means for recognizing and authorizing the use of priority equipment. This enables support for elderly people and those requiring assistance to carry out activities in retail stores more efficiently and stress-free, and to ensure safe movement.

[0932] "Biometric information" refers to data related to physical characteristics used to identify elderly individuals or those requiring assistance.

[0933] "Biometric authentication" is a technology that verifies an individual based on registered biometric information.

[0934] A "retail store" refers to a facility that sells goods to consumers, and typically includes supermarkets.

[0935] "Priority facilities" refer to special services or equipment intended for use by the elderly or those requiring assistance.

[0936] "Emotional state" refers to a psychological state that can be understood by analyzing an individual's facial expression data.

[0937] A "computer device" is an electronic device used for data processing, and usually refers to a terminal.

[0938] An "information processing device" refers to a server used for biometric authentication and data verification.

[0939] "Location information technology" refers to technologies that identify and track a person's current location, including GPS.

[0940] "Reassuring information" refers to information transmitted to reduce anxiety and stress that arise during travel or daily activities.

[0941] This invention is a system for supporting the daily lives of the elderly or those requiring assistance. The system uses biometric authentication technology and emotion recognition technology to provide personalized support. Specifically, its functionality is realized through the cooperation of the user, terminal, and server.

[0942] Users operate a dedicated application on a device such as a smartphone or tablet to register their biometric information (e.g., a facial photograph). The device transmits this biometric information to a server using a secure communication protocol. The server uses the registered information to perform biometric authentication on the individual and generates and stores a profile in a database.

[0943] The terminal scans the user's face in real time at facilities such as retail stores and sends the data to a server. The server uses a facial recognition algorithm to match the scanned data with a profile in its database. This allows the user to obtain permission to use priority facilities.

[0944] Furthermore, the device analyzes the user's facial expression data in real time to recognize their emotional state. Based on the obtained emotional data, the server proposes the optimal route that will not cause the user stress. Also, when the user registers destination information on the device, the server uses location information technology to send current movement information and reassuring messages to registered contacts. In this way, real-time support, including travel assistance, is provided.

[0945] As a concrete example, consider a scenario where elderly people receive priority service after shopping at a retail store, combining facial recognition and emotion recognition. The following is an example of a prompt message to be input to a generative AI model.

[0946] "We'll explain how the system helps elderly people who are anxiously waiting for a taxi after finishing their grocery shopping."

[0947] This system offers an advanced approach to improving the quality of life for the elderly and those requiring assistance.

[0948] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0949] Step 1:

[0950] Users access a dedicated application and register by entering their biometric information (e.g., a facial photograph).

[0951] The device receives personal data as input and temporarily stores it within the device. The device then transmits this registered biometric information to the server using a secure protocol. Specifically, the device takes a photo of the user's face and transmits the image file using SSL / TLS. The output is the face photo data transmitted to the server.

[0952] Step 2:

[0953] The server receives biometric information transmitted from the terminal and generates a biometric authentication profile using a facial recognition algorithm.

[0954] The system analyzes facial image data as input and extracts feature vectors. These feature vectors are stored in a database and managed as biometric authentication profiles. The output is the authentication profile stored in the database.

[0955] Step 3:

[0956] When a user visits a retail store, the terminal scans the user's face in real time.

[0957] The input is the user's current facial image data. The terminal's camera device captures this data and sends it to the server. The output is the transmission of real-time facial image data to the server.

[0958] Step 4:

[0959] The server compares the received facial image with the authentication profile in the database.

[0960] Using real-time facial image data as input, a sophisticated facial recognition algorithm performs matching. If a profile matches, priority equipment use authorization is issued. The output is the authorization result signal.

[0961] Step 5:

[0962] The terminal receives authorization results from the server and notifies the user of the availability of priority equipment.

[0963] Specifically, a message saying "Priority use is available" is displayed on the terminal's user interface. The input is the authorization result signal, and the output is an update to the user interface.

[0964] Step 6:

[0965] The device analyzes the user's facial expression data in real time and evaluates their emotional state.

[0966] The input is facial expression data obtained from the user's facial image. The emotion analysis engine processes this data and classifies the user's emotional state. The output is the classified emotion data.

[0967] Step 7:

[0968] The server receives the evaluated emotional state data and suggests a route to the terminal that is less likely to cause stress.

[0969] The input is classified sentiment data, and the AI ​​model calculates the optimal route. The calculated route information is sent to the terminal. The output is the route information suggested to the user.

[0970] Step 8:

[0971] When a user registers destination information in the app, the device collects movement information in real time.

[0972] The input consists of destination information and current location data. This data is obtained using location information technology. The output is movement information sent to the server.

[0973] Step 9:

[0974] The server sends reassuring information to registered contacts based on their movement information.

[0975] The inputs are the user's movement status and emotional state. The server integrates these to generate a reassurance message and sends it to the designated contact. The output is the sent reassurance message.

[0976] (Application Example 2)

[0977] 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".

[0978] There is a lack of systems that provide an environment where elderly people or those requiring assistance can shop and travel safely and comfortably, and that enable appropriate support based on their emotional state. Furthermore, there is a need for support that reduces stress and makes them feel secure when shopping.

[0979] 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.

[0980] In this invention, the server includes means for registering the biological information of elderly or disabled persons, means for suggesting and displaying efficient routes based on purchase items within the sales facility, and means for analyzing the emotional state of the user and providing guidance that gives a sense of security within the store. This makes it possible for elderly and disabled persons to shop and move around with peace of mind.

[0981] "Elderly person" refers to an individual aged 65 or older who may require support in various activities.

[0982] A "person requiring support" refers to someone who needs some form of external assistance in specific daily activities.

[0983] "Biological information" refers to information that includes physical characteristics that can identify an individual, such as their face, fingerprints, and voice.

[0984] "Facial recognition" refers to a technology that recognizes and identifies individuals based on the biological characteristics of registered faces.

[0985] A "sales facility" refers to a physical location established to provide goods or services.

[0986] A "priority payment terminal" refers to a dedicated device designed to speed up the normal payment process.

[0987] "Purchase items" refer to a list of goods and services that a consumer wishes to purchase.

[0988] "Providing a route" means informing users of the optimal route from a specific starting point to their destination.

[0989] "Emotional state" refers to an individual's psychological state, including heightened or diminished emotions, joy, anger, anxiety, and other such feelings.

[0990] "Providing reassuring guidance" refers to presenting information that helps users reduce anxiety and feel safer.

[0991] The system for implementing this invention is designed to support safe and comfortable shopping and mobility for the elderly or those requiring assistance. The system operates primarily around facial recognition technology utilizing edge computing devices and an emotion engine that analyzes the user's emotional state. Specifically, it acquires biological facial information via the camera of a smartphone or dedicated terminal and analyzes emotions using software such as OpenCV and TensorFlow. This allows for a timely understanding of the user's psychological state.

[0992] The server receives user emotional data and uses this information to calculate the optimal route within the sales facility. This route is designed to minimize user anxiety and is graphically represented by the program. Furthermore, if the user's emotions indicate anxiety or fatigue, the system sends reassuring messages to the user's family or caregivers. Twilio API and similar communication platforms are used for communication to ensure fast and reliable contact.

[0993] As a concrete example, when a user visits a crowded shopping facility, the emotional engine detects stress from their facial expressions and guides them to relaxing spots or stores. At the same time, it sends this information to their family in a remote location, conveying a reassuring message that "the user is continuing to shop safely." An example of a prompt message would be, "When an elderly person feels stressed in a crowded environment, please provide guidance to help them relax and send a reassuring message to their family." This system reduces the psychological burden on the elderly and those requiring assistance, enabling them to participate in society with greater peace of mind.

[0994] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0995] Step 1:

[0996] The device boots up and captures an image of the user's face using its camera, which serves as biological information. This information becomes the input for the facial recognition process. The device uses OpenCV to process the image and extract facial features.

[0997] Step 2:

[0998] The terminal transmits the extracted facial features to the server via an edge computing device. The server uses facial recognition technology to match them against existing profiles in its database and identify the user. The output here is the user's authentication status.

[0999] Step 3:

[1000] The server uses TensorFlow to analyze facial expression data in real time to analyze the emotional state of authenticated users. At this stage, facial expression data from the terminal is used as input to determine whether the user is happy, anxious, or angry.

[1001] Step 4:

[1002] The server calculates a suitable route within the sales facility for the user based on their analyzed emotional state. The input is the user's emotional state and facility map data, and the output is a route designed to reduce stress for the user. The calculation results are sent to and displayed on the terminal.

[1003] Step 5:

[1004] The user moves along the route displayed on the device. During the journey, the device continues to monitor the user's emotional state and notifies the server as needed.

[1005] Step 6:

[1006] If the server determines that a user is experiencing stress, it uses the Twilio API to send a reassurance message to pre-registered recipients (family or caregivers). This output is a reassurance message that informs the recipients of the user's condition.

[1007] 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.

[1008] 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.

[1009] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1010] 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.

[1011] 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.

[1012] 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.

[1013] 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.

[1014] 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.

[1015] 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."

[1016] 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.

[1017] 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.

[1018] 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.

[1019] 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.

[1020] 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.

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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.

[1027] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1028] The following is further disclosed regarding the embodiments described above.

[1029] (Claim 1)

[1030] A means of registering personal information of elderly people or those requiring assistance,

[1031] A means for performing facial recognition based on the registered information,

[1032] A means of recognizing and authorizing the use of priority cashiers in supermarkets,

[1033] A means for suggesting and displaying an efficient route based on a shopping list within the aforementioned supermarket,

[1034] A means of registering travel destination information when using a means of transportation and sending travel information to the registered notification recipient,

[1035] A system that includes this.

[1036] (Claim 2)

[1037] The system according to claim 1, characterized in that the facial recognition means transmits data to a server in real time via an edge device for verification.

[1038] (Claim 3)

[1039] The system according to claim 1, characterized in that the means for transmitting travel information when using the means of transport uses GPS to track the current location and transmits updated information for safety to a registered recipient.

[1040] "Example 1"

[1041] (Claim 1)

[1042] A means of registering biometric information and personal data of elderly people or those requiring assistance,

[1043] Means for performing image recognition based on the registered data,

[1044] A means of identifying and authorizing the use of priority checkouts in commercial facilities,

[1045] A means for calculating and presenting the optimal travel route based on a purchase list within the aforementioned commercial facility,

[1046] A means of registering destination information when using a means of transportation and sending the travel status to the registered notification recipient,

[1047] A system that includes this.

[1048] (Claim 2)

[1049] The system according to claim 1, characterized in that the image recognition means immediately transmits and verifies data to a server via peripheral devices.

[1050] (Claim 3)

[1051] The system according to claim 1, characterized in that the means for transmitting the movement status when using the means of transport monitors the current location using the Global Positioning System and transmits security update information to a registered recipient.

[1052] "Application Example 1"

[1053] (Claim 1)

[1054] A means of registering data on elderly people or those requiring assistance,

[1055] A means for performing biometric authentication based on the registered data,

[1056] A means of recognizing and authorizing the use of special registers in commercial facilities,

[1057] A means of suggesting and visually presenting an effective route based on a purchase list within the aforementioned commercial facility,

[1058] A means of registering destination data when using a means of transportation and sending the travel data to the registered notification recipient,

[1059] A means of displaying a route in augmented reality using a visual aid device,

[1060] A means of acquiring and displaying the congestion status within the facility in real time,

[1061] A system that includes this.

[1062] (Claim 2)

[1063] The system according to claim 1, characterized in that the biometric authentication means immediately transmits and verifies data to a server via a peripheral device.

[1064] (Claim 3)

[1065] The system according to claim 1, characterized in that the means for transmitting movement data when using the means for movement tracks the current location using a location measurement system and transmits updated data for safety to a registered recipient.

[1066] "Example 2 of combining an emotion engine"

[1067] (Claim 1)

[1068] A means of registering biometric information of elderly people or those requiring assistance,

[1069] A means for performing biometric authentication based on the registered information,

[1070] Means for recognizing and authorizing the use of priority equipment in retail stores,

[1071] A means for proposing and presenting the optimal route based on shopping activities within the aforementioned retail store,

[1072] A method for analyzing facial expression data to understand emotional states,

[1073] A means of registering movement information and sending reassuring information to registered contacts,

[1074] A system that includes this.

[1075] (Claim 2)

[1076] The system according to claim 1, characterized in that the biometric authentication means transmits data to an information processing device in real time via a computer device for verification.

[1077] (Claim 3)

[1078] The system according to claim 1, characterized in that the movement information transmission means tracks the current location using location information technology and transmits safety information to a registered recipient.

[1079] "Application example 2 when combining with an emotional engine"

[1080] (Claim 1)

[1081] A means of registering the biological information of elderly or vulnerable individuals,

[1082] A means for performing facial recognition based on the registered information,

[1083] A means of recognizing and authorizing the use of priority payment terminals at sales facilities,

[1084] A means for presenting and displaying an efficient route based on the purchase items within the aforementioned sales facility,

[1085] A means of registering travel destination information when using a means of transportation, and sending travel information to the registered recipient,

[1086] A means of analyzing the emotional state of users and providing guidance that makes them feel safe within the store,

[1087] A system that includes this.

[1088] (Claim 2)

[1089] The system according to claim 1, characterized in that the facial recognition means transmits data to a server in real time via an edge computing device for verification.

[1090] (Claim 3)

[1091] The system according to claim 1, characterized in that the means for transmitting movement information when using the means of transport uses a location information system to track the current location and transmits updated information for safety to a designated destination. [Explanation of symbols]

[1092] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of registering personal information of elderly people or those requiring assistance, A means for performing facial recognition based on the registered information, A means of recognizing and authorizing the use of priority cashiers in supermarkets, A means for suggesting and displaying an efficient route based on a shopping list within the aforementioned supermarket, A means of registering travel destination information when using a means of transportation and sending travel information to the registered notification recipient, A system that includes this.

2. The system according to claim 1, characterized in that the facial recognition means transmits data to a server in real time via an edge device for verification.

3. The system according to claim 1, characterized in that the means for transmitting travel information when using the means of transport uses GPS to track the current location and transmits updated information for safety to a registered recipient.

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