system

Abstract

We provide the system. [Solution] Image recognition means for detecting elderly people, A display control means that automatically activates slow mode for detected elderly individuals, A guidance system that provides information about the products to be purchased through audio and visual means, A means of inducing payment based on the payment method selected by the user, A reminder mechanism to prevent misplacing items after payment is completed, 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern society is aging, and among the various problems faced by the elderly and patients with mild cognitive impairment in their daily lives, especially the payment at the cashier during shopping has become a stress. One of the reasons for this problem is that the operations at the cashier are complex and they feel the pressure from other customers. Existing cashier systems lack consideration for these users and have the problem that they cannot enjoy shopping with peace of mind.

Means for Solving the Problems

[0005] This invention proposes a system that provides a user-friendly environment by automatically identifying elderly customers who visit the checkout counter using an elderly detection means and activating a special slow mode based on the results. In this slow mode, information about purchased items is provided via voice and visual guidance, and the user is also guided through the payment process. Furthermore, after payment, a reminder is provided to prevent customers from leaving items behind, giving the user a safe and secure shopping experience.

[0006] "Image recognition means for detecting elderly people" refers to technology that analyzes age-related characteristics from image data acquired using cameras and sensors to identify elderly individuals.

[0007] "Display control means for activating slow mode" refers to a function that switches the terminal's user interface under specific conditions to display larger text or simplified menus.

[0008] "A guidance system that provides information about products to be purchased through audio and visual means" refers to a technology that visually and audibly informs the user of the name and price of scanned products.

[0009] A "payment guidance mechanism based on payment method" is a function that guides and assists users in completing a payment appropriately according to the selected payment method.

[0010] A "reminder mechanism to prevent customers from leaving items behind" is a technology that visually or audibly notifies the user of a warning to remember to take their items home after all procedures have been completed. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0017] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention relates to a shopping assistance checkout system intended for use by elderly individuals and those with dementia under specific conditions. The system includes image recognition means for detecting elderly individuals and activating a slow mode, which is integrated into the terminal used for the system. An overall embodiment of this system is described below.

[0033] The server analyzes the video data transmitted using the terminal's camera in real time. It uses image recognition technology to identify age-related characteristics, and if it detects an elderly person, it notifies the terminal of this information.

[0034] When the terminal receives a notification from the server, it switches the interface to slow mode. In this mode, the displayed text is larger, and the selection options are simplified for easier understanding. Information about purchased items is provided through both voice and on-screen. For example, when a user scans an item, the device will announce the item's name and price, such as "Apples are 150 yen."

[0035] When a user makes a payment, the terminal presents multiple payment methods and provides corresponding visual and audio guidance. If the user chooses to pay with cash, the terminal will prompt the user with a voice message saying "Please insert cash" and, if necessary, display the location for inserting cash.

[0036] After payment is complete, the terminal prompts the user to confirm the total amount, and once confirmation is complete, it provides an audio reminder to not forget their items. This reminder states, "Please remember to take your items with you," and the same message is also displayed on the screen to draw the user's attention.

[0037] Specific examples of this system include its use in workplaces and public commercial facilities to facilitate daily shopping for the elderly. This allows users to enjoy shopping with peace of mind and provides a pleasant purchasing experience.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The terminal activates its built-in camera and captures video footage of the customer standing in front of the register. The video data is then sent to the server.

[0041] Step 2:

[0042] The server analyzes the received video data and uses image recognition technology to extract age-related features. If it determines that the person is elderly, it notifies the terminal of this information.

[0043] Step 3:

[0044] When the device receives an elderly person detection notification from the server, it automatically switches the interface to slow mode. This enlarges the text on the screen and changes the design to one that is easier to read.

[0045] Step 4:

[0046] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal retrieves the product name and price based on the barcode information, displays it on the screen, and provides this information via voice.

[0047] Step 5:

[0048] The terminal displays multiple payment method options (cash, card, e-money, etc.) on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0049] Step 6:

[0050] The user selects their preferred payment method from the presented options. For example, they might choose to pay in cash.

[0051] Step 7:

[0052] The terminal guides the user through the payment process based on their chosen payment method. If cash is selected, it will provide voice instructions such as "Please insert the cash into the designated slot" and visually display the slot on the screen.

[0053] Step 8:

[0054] Once payment is complete, the terminal prompts the user to confirm the total amount, displaying a message such as, "The total amount is XX yen. Please press the confirmation button," and showing a confirmation button on the screen.

[0055] Step 9:

[0056] The user presses the confirmation button. The terminal then voice-reminds the user, "Please remember to take your items with you," to prevent them from forgetting their payment and items. This message is also displayed on the screen.

[0057] Step 10:

[0058] The terminal logs that all operations are complete and prepares to receive the next customer.

[0059] (Example 1)

[0060] 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."

[0061] When elderly people or those with dementia shop independently, there is a need to eliminate the inconvenience caused by difficulty in reading information and the complexity of payment procedures. Furthermore, an effective system is needed to prevent customers from misplacing purchased items.

[0062] 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.

[0063] In this invention, the server includes means for setting criteria for determining the age characteristics of the person to be recognized, means for having an algorithm for analyzing digital images to recognize an elderly person, and means for automatically converting a user interface to adjust the operating speed for the recognized elderly person. This enables elderly people to enjoy shopping smoothly and safely.

[0064] The term "elderly" generally refers to individuals who are older and whose physical and cognitive functions have changed due to aging.

[0065] "Recognizing" refers to the process of analyzing digital images and identifying specific patterns or features.

[0066] An "algorithm" refers to a series of computational steps used to solve a specific problem.

[0067] "User interface" refers to the means and environment through which a user interacts with a device or system.

[0068] "Acoustic signals" refer to waveforms and data used to transmit sound information.

[0069] "Visual display" refers to presenting information through visual means, and typically involves using screens or displays.

[0070] "Payment method" refers to the payment mechanism used to pay for goods or services.

[0071] "To assist" refers to helping or facilitating actions when a user performs a specific task.

[0072] A "warning" refers to a notification or alert provided to a user to draw their attention to something.

[0073] "Forgetting" refers to a psychological state in which one loses awareness or memory of something.

[0074] This invention is a support system designed to enable elderly people and those with dementia to shop smoothly in stores. The system mainly consists of two elements: a server and a terminal.

[0075] Server Embodiment

[0076] The server is equipped with a processor for executing image recognition algorithms. It receives video data transmitted in real time from the terminal's camera and analyzes the characteristics of elderly people using image processing libraries (e.g., TENSORFLOW®, OpenCV). When it detects age-related patterns, the server sends a signal to the terminal indicating the presence of an elderly person. This allows the terminal to activate a special mode.

[0077] Terminal embodiment

[0078] The terminal has a feature that automatically switches the user interface to slow mode when it receives a notification that an elderly person has been detected. In this mode, the displayed text is enlarged, the options are simplified, and voice guidance is provided. Text-to-speech software (e.g., Google® Text-to-Speech) is used to allow the user to hear the details of the scanned items. Each time an item is scanned, a voice guide is created, such as "Apples are 150 yen." During the payment process, the terminal presents multiple payment methods and provides corresponding voice and visual instructions. If cash payment is selected, the user will be instructed to "Please insert cash."

[0079] Specific user actions

[0080] The user is guided through the process from scanning the items to completing the payment. The system also provides reminders to prevent users from leaving items behind. Once payment is complete, a voice message and a similar message are displayed on the screen, saying, "Please remember to take your items with you."

[0081] As a concrete example, a prompt simulating a scenario where an elderly person aged 70 or older uses this system might be: "Explain how the user interface should be modified as needed to allow elderly people to shop smoothly." This prompt is used during simulation or training within the generative AI model.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The server receives video data transmitted from the terminal's camera as input in real time. Based on the video data, it analyzes the image data using an image processing library (e.g., OpenCV) to identify characteristics of elderly people (e.g., wrinkles, hair color, etc.). As a result of this analysis, it outputs a determination of whether the person is elderly.

[0085] Step 2:

[0086] If the server determines that the user is elderly, it notifies the terminal of this information. The notification is sent via data packets using the Internet Protocol. The output is an "elderly person detected" status, which is then forwarded to the terminal.

[0087] Step 3:

[0088] The terminal receives the "elderly person detected" status from the server as input and switches the interface to slow mode. Specifically, a program is executed to enlarge the font size of UI components and simplify the selection options. This modified interface is then output.

[0089] Step 4:

[0090] The user retrieves a product and inputs product information by scanning it with the terminal's scanner. The terminal then verifies the product information against a database and outputs it as an audio guide using a text-to-speech engine (e.g., product name, price).

[0091] Step 5:

[0092] The terminal presents the user with multiple payment method options during the payment process. It accepts the selection as input and provides visual and audio guidance for the corresponding payment. The output is specific instructions based on the user's payment selection.

[0093] Step 6:

[0094] Once the user completes the payment, the terminal receives a "payment complete" status as input. It then displays a prompt to confirm the total amount and outputs a voice reminder saying, "Please remember to take your items with you." This final output serves as a reminder and confirmation message to the user.

[0095] (Application Example 1)

[0096] 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."

[0097] When elderly people and those with dementia shop, there is a need to mitigate challenges caused by impaired vision and hearing, and to alleviate anxiety during payment procedures. This invention aims to improve these user experiences and support people in shopping with greater peace of mind.

[0098] 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.

[0099] In this invention, the server includes image processing means for identifying elderly individuals, display adjustment means for automatically activating an adaptive mode for the identified elderly individuals, and guidance means for providing information about the products to be purchased in both audio and visual formats. This enables elderly individuals to shop with peace of mind while receiving visual and auditory support.

[0100] "Image processing means for identifying elderly people" refers to a technology that extracts the characteristics of elderly people from images taken using a camera and identifies them based on their age group.

[0101] "Adaptive mode" is a mode in which the interface is automatically changed according to the user's characteristics, and its purpose is to improve the display and operability with consideration for the elderly.

[0102] "Display adjustment means" refers to a function that changes the content and size of the display on the screen according to the detected user, making it easier to see and operate.

[0103] "Information tools" refer to technologies used to convey information about products to be purchased to users through audio or displays, with the aim of clearly communicating product names, prices, and other relevant information.

[0104] "Eye-tracking means" refers to technology that tracks a user's gaze and identifies the object they are focusing on, in order to appropriately present information about products of interest.

[0105] A "guidance mechanism" is a function that provides instructions and confirmations to ensure that the process proceeds smoothly according to the payment method selected by the user.

[0106] A "notification method" is a system that uses voice or visual reminders to ensure that users remember to take their purchased items with them after payment is complete.

[0107] The system realizing this invention is designed to allow elderly people and those with dementia to shop easily. The server uses image processing technology to analyze the user's image and identify elderly people. If identified, the server notifies the terminal, which immediately activates adaptive mode. In this adaptive mode, display adjustment means are activated to provide larger text and simplified options for elderly people.

[0108] The terminal uses guidance devices to provide audio and visual information about product names and prices when the user checks a product. Eye-tracking devices track the user's gaze and appropriately present information related to products of interest. During payment, guidance devices activate, providing visual and audio guidance according to the user's chosen payment method. Upon completion of payment, a notification device activates, reminding the user to take their items with them.

[0109] To further enhance the user experience, hardware such as smart glasses and head-mounted displays are used, and image processing is performed using software such as TensorFlow and OpenCV. In addition, standard speech synthesis technology is used for voice guidance.

[0110] For example, if an elderly user picks up an apple in a supermarket, the eye-tracking device will detect that they are fixated on the apple, and the terminal will announce a voice message saying, "The apple is 150 yen." When the user chooses to pay with cash, the terminal can then instruct them to "Please insert cash."

[0111] An example of a prompt to the generating AI model might be: "Consider an application that allows elderly people to view product information and make payments smoothly through their glasses. It uses voice guidance and eye-tracking technology. How can you create it?" In this way, the present invention can significantly improve the shopping experience for the elderly.

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

[0113] Step 1:

[0114] The server receives user image data sent from the terminal and uses image processing technology to determine the user's age. The input is the user's image data, and the output is the result of determining whether or not the user is elderly. Specifically, it uses tools such as TensorFlow to analyze the image and identify the user's age group.

[0115] Step 2:

[0116] The server sends the judgment result to the terminal. The input is the age judgment result, and the output is a notification of the judgment result to the terminal. If the age judgment exceeds a certain threshold, an adaptive mode activation command is automatically included.

[0117] Step 3:

[0118] The terminal activates adaptive mode based on notifications received from the server. The input is the judgment notification from the server, and the output is the state in which the interface has been adjusted for elderly users. The screen immediately adjusts the font size and simplifies the displayed content.

[0119] Step 4:

[0120] When a user checks products, the device's camera detects their gaze and identifies the product they are focusing on. The input is the user's gaze information, and the output is the identification of the product name they are interested in. The gaze detection means determines the product of interest.

[0121] Step 5:

[0122] The terminal displays information about the featured product both audibly and visually. Input is the specific information of the featured product, and output is voice guidance and screen display. For example, it might say, "Apples are 150 yen."

[0123] Step 6:

[0124] Once the user selects a payment method, the terminal assists with the payment using guidance mechanisms. The input is the user's selection of the payment method, and the output is the completion of the payment process. Specifically, when cash is selected, the terminal will instruct the user with a voice message such as "Please insert cash."

[0125] Step 7:

[0126] Once payment is complete, the terminal notifies the user to remember their items. Input is payment completion information, and output is a voice and display reminder. The instructions include phrases like, "Please remember to take your items with you."

[0127] 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.

[0128] This invention is a system that combines an emotion engine with a shopping support checkout system to grasp the user's emotional state in real time and provide appropriate guidance and support accordingly. This system is designed to allow elderly people and those with dementia to shop with peace of mind.

[0129] The server receives video data transmitted from the terminal and uses image recognition to determine if the customer is elderly. If it is determined that the customer is elderly, it instructs the terminal to switch to slow mode and changes the interface to a user-friendly design. In addition, the server uses an emotion engine to analyze the user's facial expressions and voice tone to evaluate their current emotional state.

[0130] Based on instructions from the server, the terminal activates slow mode and displays large text and simplified operation menus. Once an item is scanned, the terminal provides a voice explanation of the information to the user. Furthermore, based on the results of the emotion engine, it provides additional voice guidance to help the user relax if they are feeling stressed or otherwise unwell.

[0131] When a user makes a payment, the terminal displays payment options on the screen and provides voice guidance. If the user shows hesitation, the emotion engine prompts the terminal to provide feedback and assist in making the specific payment process easier. In this case, voice guidance to enhance reassurance and further assistance may be automatically provided.

[0132] After payment is complete, the terminal, based on the emotion engine's evaluation, displays additional reassuring messages to the user, or provides voice messages confirming that no items have been left behind, especially when necessary. As a result, users can complete their shopping in a more relaxed state.

[0133] This system is designed for use in supermarkets and drugstores frequently visited by the elderly, aiming to reduce the burden on both the elderly themselves and store staff while providing a safe and comfortable shopping experience.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] The device activates its built-in camera and captures the customer's image. This video data is transmitted to the server in real time.

[0137] Step 2:

[0138] The server analyzes the received video data and uses image recognition to determine if the customer is elderly. Based on the determination result, it instructs the terminal to activate slow mode.

[0139] Step 3:

[0140] If the device detects that the user is elderly, it automatically switches the interface to slow mode. This enlarges the text size on the screen and simplifies the operation menu.

[0141] Step 4:

[0142] The server uses an emotion engine to analyze the customer's facial expressions from video data and evaluate their emotional state. This evaluation result is then sent to the terminal.

[0143] Step 5:

[0144] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal displays the name and price of the scanned item on the screen and provides voice guidance to the user.

[0145] Step 6:

[0146] Based on the results of the emotion engine, if the device is assessed as indicating that the user is experiencing stress, it will initiate additional voice guidance designed to promote relaxation.

[0147] Step 7:

[0148] The user selects a payment method. The terminal displays multiple payment options on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0149] Step 8:

[0150] The server continuously monitors the user's emotional state. During the payment process, if anxiety or hesitation is detected, it instructs the device to provide reassuring voice feedback.

[0151] Step 9:

[0152] Once payment is complete, the terminal will announce via voice, "All procedures are complete. Please remember to take your items with you," and will also display the same message on the screen.

[0153] Step 10:

[0154] The terminal saves all operation logs and prepares for the next customer. It analyzes data to use feedback from the emotion engine's evaluation to improve future services.

[0155] (Example 2)

[0156] 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".

[0157] There is a need for a system that allows elderly users and those with cognitive impairments to complete their shopping with peace of mind, without feeling anxious or confused by the operation of the system. Furthermore, it is necessary to provide appropriate support tailored to the user's situation, such as preventing the loss of purchased items and providing assistance during payment. Conventional systems have struggled to analyze the user's emotional state in real time and provide appropriate guidance based on that analysis.

[0158] 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.

[0159] In this invention, the server includes visual information analysis means, information display control means, and information provision means. This makes it possible to evaluate the emotional state of elderly users or users with cognitive impairments in real time and provide guidance and support that enhances their sense of security based on that evaluation.

[0160] "Visual information analysis means" refers to processing technology that analyzes image information contained in video data to determine whether or not a person is elderly.

[0161] "Information display control means" refers to technology for displaying an appropriate user interface according to the detected state of the user.

[0162] "Information provision means" refers to technologies that provide users with information and guidance on products they are purchasing, using both audio and visual means.

[0163] "Emotional analysis methods" are technologies that analyze a user's facial expressions and tone of voice to evaluate their emotional state in real time.

[0164] "Information transmission means" refers to technologies that provide users with visual and auditory feedback when selecting a payment method.

[0165] This invention incorporates a function that analyzes the emotional state of elderly users and those with cognitive impairments in real time, enabling them to shop with peace of mind in a shopping support system. The system is realized through the cooperation of three elements: a server, a terminal, and the user.

[0166] The server receives video data transmitted from terminals installed within the store. Using this video data, it uses visual information analysis technologies such as OpenCV and TensorFlow to determine whether the user is elderly. If it is determined that the user is elderly, it instructs the terminal to switch to slow-motion mode and control the information display.

[0167] The terminal switches its information display function based on instructions from the server. This provides larger text and simplified operation menus than usual. Furthermore, it uses speech synthesis technology such as Amazon Polly to provide users with voice guidance about the products they are purchasing. It also provides relaxing voice guidance as needed based on the results of emotion analysis from the server.

[0168] Users can smoothly select and pay for products using the voice guidance and visual information provided by the terminal. During payment, the server guides the user through the payment method and provides appropriate assistance according to the user's choices. After payment is complete, the terminal provides a voice message confirming that no items have been left behind, allowing users to complete their shopping with peace of mind.

[0169] One concrete example is a scenario where this system is used in a supermarket frequented by many elderly people. Cameras installed near the checkout counters in the store detect elderly customers, and slow-motion mode is automatically applied. While shopping, the user's facial expressions are analyzed by the camera, and if they appear stressed, a relaxing guide such as "Please take your time" is provided.

[0170] An example of a prompt might be, "Generate an audio guide to reduce stress for elderly people while shopping. The content should cover three points." This would allow the generating AI model to provide an audio guide appropriate to the situation.

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

[0172] Step 1:

[0173] The server receives video data transmitted from the terminal. This video data includes the faces and body movements of users inside the store. Using visual information analysis technology, the server determines from this data whether the user is elderly. This process utilizes OpenCV and TensorFlow, and analyzes the input data using image analysis algorithms to output a result indicating whether the user is elderly.

[0174] Step 2:

[0175] If the device is determined to be elderly, the server sends a signal to the terminal to instruct it to activate slow mode. The input is the result of the elderly determination, and the output is the instruction to apply slow mode to the terminal. Specifically, it transfers a configuration profile for slow mode to the terminal and provides commands to adjust the visual and audio information display for elderly users.

[0176] Step 3:

[0177] Upon receiving a slow mode instruction, the terminal activates its information display control mechanism. The terminal displays text using large fonts and a simplified menu screen. At this time, the interface is reconfigured using a GUI library. Based on the instruction received as the entry point, a user-friendly display is output.

[0178] Step 4:

[0179] When a user scans an item, the terminal queries a database to retrieve the item's information. The input is the scanned item code, and the output is the detailed information about that item. Once the terminal has retrieved the item information, it uses speech synthesis software to communicate that information to the user verbally. For example, it might say, "This item costs 500 yen."

[0180] Step 5:

[0181] The server analyzes the user's facial expressions and voice tone in real time using emotion analysis tools. The input is audio and video data transmitted from the terminal, and the output is the user's emotional state. Specifically, the emotion engine evaluates facial features and audio signals and calculates indicators of relaxation and stress.

[0182] Step 6:

[0183] During payment, the terminal displays multiple payment options to the user. Input is the payment guidance procedure from the server, and output is visual and audio guidance on the payment method. Based on the user's selection, the terminal highlights the selected payment method and clearly presents the details of the procedure.

[0184] Step 7:

[0185] After payment is complete, the terminal plays a voice message asking the user, "Have you left anything behind?" as a reminder. This action allows the user to complete their shopping with peace of mind. The input is the payment completion event, and the output is the reminder voice message.

[0186] (Application Example 2)

[0187] 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".

[0188] There is a need to provide a safer and more comfortable shopping experience for the elderly and those with dementia, ensuring they do not experience stress or confusion while shopping. In particular, they are prone to stress from unfamiliar interfaces and payment procedures in stores, so these issues need to be addressed.

[0189] 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.

[0190] In this invention, the server includes image recognition means for detecting elderly people, display control means for automatically activating slow mode for detected elderly people, guidance means for providing information about the products to be purchased via voice and visual means, guidance means for guiding the user to make a payment based on the payment method selected by the user, reminder means for preventing the user from leaving products behind after payment is completed, emotion analysis means for analyzing the user's emotional state from their facial expressions and voice, and support means for providing visual and audio guidance to reduce stress based on the analysis results. This makes it possible for elderly people to shop with peace of mind and complete the payment process without feeling stressed.

[0191] "Image recognition means" refers to a technology that analyzes input video data and detects and identifies objects based on specific conditions.

[0192] "Display control means" refers to a function that switches the interface to an appropriate mode according to the user's needs.

[0193] A "guidance system" is a system that provides information to users through audio and visual means and guides them through the operation of the system.

[0194] "Guidance means" are technologies that assist users in smoothly carrying out the procedures they have selected.

[0195] A "reminder function" is a feature that notifies users so they don't forget important matters.

[0196] "Emotion analysis methods" are technologies that evaluate the user's current emotional state based on data from their facial expressions and voice.

[0197] A "support system" is a system designed to reduce stress by providing appropriate support to users based on analysis results.

[0198] The system implementing this invention provides comprehensive support to enable elderly people and those with dementia to shop with peace of mind.

[0199] The server analyzes video and audio data obtained from smart devices equipped with cameras and microphones to detect elderly individuals. It uses hardware such as smart glasses or smartphone cameras to capture the user's face and analyzes the data using image recognition. This analysis utilizes software such as the OpenCV library and the Google Cloud Vision API.

[0200] If the terminal detects that the user is elderly, it uses display control to switch the interface to slow mode. In this mode, text is displayed in a larger size and the operating procedures are simplified. Information about the products to be purchased is provided through both audio and visual guidance, using IBM Watson® Text to Speech. Once a product is scanned, its information is explained to the user verbally.

[0201] The emotion analysis tool, used to assess the user's emotional state, analyzes the user's facial expressions and tone of voice using the Microsoft® Azure® Emotion API. If the user is experiencing stress, it provides a relaxing audio guide through support tools. This entire experience allows users to shop without feeling stressed.

[0202] During the payment process, guidance systems provide visual and audio instructions based on the user's chosen payment method. The displayed options and progress are designed to be easily understood by the user.

[0203] To give a specific example, when an elderly person is shopping at a drugstore, smart glasses read their facial expressions, and the system detects that they are having trouble choosing a product. The smart glasses then begin guiding the elderly person with a gentle voice, saying, "This product is on sale today. Is this the right product for you?", supporting them in making a decision with confidence.

[0204] An example of a prompt message is: "A 70-year-old man is shopping at a drugstore. Analyze his emotional state from his facial expressions and voice, and consider how the device can help him if he is feeling stressed."

[0205] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0206] Step 1:

[0207] The user inputs video data through the device's camera. The server receives this video data, performs image recognition using the OpenCV library, and determines whether or not the user is elderly. The output of this step is a flag indicating whether or not the user is elderly.

[0208] Step 2:

[0209] If the server determines that the user is elderly, the terminal activates the display control mechanism and sets the interface to slow mode. At this point, the terminal displays large text and a simplified operation menu on the screen. The output of this step provides visual feedback to the user.

[0210] Step 3:

[0211] The user scans the product. The scanned data is guided by the terminal both audibly and visually. The terminal uses IBM Watson Text to Speech to read the product information aloud. The output of this step is the audible guidance and visual display of the product information.

[0212] Step 4:

[0213] The server uses the Microsoft Azure Emotion API to analyze the user's facial expressions and voice. The input is data of the user's facial expressions and voice, and the output obtained from the analysis is the user's current emotional state. Based on these results, the device provides voice guidance to reduce stress as needed.

[0214] Step 5:

[0215] When a user selects a payment method, the terminal guides them visually and audibly using guidance mechanisms. The input consists of the user's payment options, which the terminal displays clearly and provides audible support. The output is guiding information to assist the user in making their decision.

[0216] Step 6:

[0217] After payment is complete, the terminal uses a reminder mechanism to notify the user not to leave the item behind. In this step, it receives a payment completion signal as input and outputs audio and visual reminders to the user.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] [Second Embodiment]

[0222] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0223] 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.

[0224] 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).

[0225] 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.

[0226] 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.

[0227] 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).

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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.

[0232] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0233] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0234] This invention relates to a shopping assistance checkout system intended for use by elderly individuals and those with dementia under specific conditions. The system includes image recognition means for detecting elderly individuals and activating a slow mode, which is integrated into the terminal used for the system. An overall embodiment of this system is described below.

[0235] The server analyzes the video data transmitted using the terminal's camera in real time. It uses image recognition technology to identify age-related characteristics, and if it detects an elderly person, it notifies the terminal of this information.

[0236] When the terminal receives a notification from the server, it switches the interface to slow mode. In this mode, the displayed text is larger, and the selection options are simplified for easier understanding. Information about purchased items is provided through both voice and on-screen. For example, when a user scans an item, the device will announce the item's name and price, such as "Apples are 150 yen."

[0237] When a user makes a payment, the terminal presents multiple payment methods and provides corresponding visual and audio guidance. If the user chooses to pay with cash, the terminal will prompt the user with a voice message saying "Please insert cash" and, if necessary, display the location for inserting cash.

[0238] After payment is complete, the terminal prompts the user to confirm the total amount, and once confirmation is complete, it provides an audio reminder to not forget their items. This reminder states, "Please remember to take your items with you," and the same message is also displayed on the screen to draw the user's attention.

[0239] Specific examples of this system include its use in workplaces and public commercial facilities to facilitate daily shopping for the elderly. This allows users to enjoy shopping with peace of mind and provides a pleasant purchasing experience.

[0240] The following describes the processing flow.

[0241] Step 1:

[0242] The terminal activates its built-in camera and captures video footage of the customer standing in front of the register. The video data is then sent to the server.

[0243] Step 2:

[0244] The server analyzes the received video data and uses image recognition technology to extract age-related features. If it determines that the person is elderly, it notifies the terminal of this information.

[0245] Step 3:

[0246] When the device receives an elderly person detection notification from the server, it automatically switches the interface to slow mode. This enlarges the text on the screen and changes the design to one that is easier to read.

[0247] Step 4:

[0248] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal retrieves the product name and price based on the barcode information, displays it on the screen, and provides this information via voice.

[0249] Step 5:

[0250] The terminal displays multiple payment method options (cash, card, e-money, etc.) on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0251] Step 6:

[0252] The user selects their preferred payment method from the presented options. For example, they might choose to pay in cash.

[0253] Step 7:

[0254] The terminal guides the user through the payment process based on their chosen payment method. If cash is selected, it will provide voice instructions such as "Please insert the cash into the designated slot" and visually display the slot on the screen.

[0255] Step 8:

[0256] Once payment is complete, the terminal prompts the user to confirm the total amount, displaying a message such as, "The total amount is XX yen. Please press the confirmation button," and showing a confirmation button on the screen.

[0257] Step 9:

[0258] The user presses the confirmation button. The terminal then voice-reminds the user, "Please remember to take your items with you," to prevent them from forgetting their payment and items. This message is also displayed on the screen.

[0259] Step 10:

[0260] The terminal logs that all operations are complete and prepares to receive the next customer.

[0261] (Example 1)

[0262] 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."

[0263] When elderly people or those with dementia shop independently, there is a need to eliminate the inconvenience caused by difficulty in reading information and the complexity of payment procedures. Furthermore, an effective system is needed to prevent customers from misplacing purchased items.

[0264] 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.

[0265] In this invention, the server includes means for setting criteria for determining the age characteristics of the person to be recognized, means for having an algorithm for analyzing digital images to recognize an elderly person, and means for automatically converting a user interface to adjust the operating speed for the recognized elderly person. This enables elderly people to enjoy shopping smoothly and safely.

[0266] The term "elderly" generally refers to individuals who are older and whose physical and cognitive functions have changed due to aging.

[0267] "Recognizing" refers to the process of analyzing digital images and identifying specific patterns or features.

[0268] An "algorithm" refers to a series of computational steps used to solve a specific problem.

[0269] "User interface" refers to the means and environment through which a user interacts with a device or system.

[0270] "Acoustic signals" refer to waveforms and data used to transmit sound information.

[0271] "Visual display" refers to presenting information through visual means, and typically involves using screens or displays.

[0272] "Payment method" refers to the payment mechanism used to pay for goods or services.

[0273] "To assist" refers to helping or facilitating actions when a user performs a specific task.

[0274] A "warning" refers to a notification or alert provided to a user to draw their attention to something.

[0275] "Forgetting" refers to a psychological state in which one loses awareness or memory of something.

[0276] This invention is a support system designed to enable elderly people and those with dementia to shop smoothly in stores. The system mainly consists of two elements: a server and a terminal.

[0277] Server Embodiment

[0278] The server is equipped with a processor for executing image recognition algorithms. It receives video data transmitted in real time from the terminal's camera and analyzes the characteristics of elderly people using image processing libraries (e.g., TensorFlow, OpenCV). When it detects age-related patterns, the server sends a signal to the terminal indicating the presence of an elderly person. This allows the terminal to activate a special mode.

[0279] Terminal embodiment

[0280] The terminal has a feature that automatically switches the user interface to slow mode when it receives a notification that an elderly person has been detected. In this mode, the displayed text is enlarged, the options are simplified, and voice guidance is provided. Text-to-speech software (e.g., Google Text-to-Speech) is used to allow the user to hear the details of the scanned items. Each time an item is scanned, a voice guide is created, such as "Apples are 150 yen." During the payment process, the terminal presents multiple payment methods and provides corresponding voice and visual instructions. If cash payment is selected, the user will be instructed to "Please insert cash."

[0281] Specific user actions

[0282] The user is guided through the process from scanning the items to completing the payment. The system also provides reminders to prevent users from leaving items behind. Once payment is complete, a voice message and a similar message are displayed on the screen, saying, "Please remember to take your items with you."

[0283] As a concrete example, a prompt simulating a scenario where an elderly person aged 70 or older uses this system might be: "Explain how the user interface should be modified as needed to allow elderly people to shop smoothly." This prompt is used during simulation or training within the generative AI model.

[0284] The flow of the specific process in Example 1 will be described using FIG. 11.

[0285] Step 1:

[0286] The server receives in real time the video data transmitted from the camera of the terminal as input. Based on the video data, the image data is analyzed using an image processing library (e.g., OpenCV) to identify the characteristics of the elderly (e.g., wrinkles, hair color, etc.). As a result of this analysis, a determination as to whether the person is elderly is output.

[0287] Step 2:

[0288] If the server determines that the person is elderly, it notifies the terminal of that information. The notification is made by transmitting data packets through the Internet protocol. The output is the "elderly detection" status, which is transferred to the terminal.

[0289] Step 3:

[0290] [[ID=2Q]]The terminal receives the "elderly detection" status from the server as input and switches the interface to the slow motion mode. Specifically, a program for enlarging the character size of the UI components and simplifying the options is executed. The modified interface is output.

[0291] Step 4:

[0292] The user obtains the product and inputs the product information by passing it through the terminal's scanner. The terminal collates the product information from the database and outputs its content (e.g., product name, price) as an audio guide using a text-to-speech engine.

[0293] Step 5:

[0294] The terminal presents the user with multiple payment method options during the payment process. It accepts the selection as input and provides visual and audio guidance for the corresponding payment. The output is specific instructions based on the user's payment selection.

[0295] Step 6:

[0296] Once the user completes the payment, the terminal receives a "payment complete" status as input. It then displays a prompt to confirm the total amount and outputs a voice reminder saying, "Please remember to take your items with you." This final output serves as a reminder and confirmation message to the user.

[0297] (Application Example 1)

[0298] 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."

[0299] When elderly people and those with dementia shop, there is a need to mitigate challenges caused by impaired vision and hearing, and to alleviate anxiety during payment procedures. This invention aims to improve these user experiences and support people in shopping with greater peace of mind.

[0300] 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.

[0301] In this invention, the server includes image processing means for identifying elderly individuals, display adjustment means for automatically activating an adaptive mode for the identified elderly individuals, and guidance means for providing information about the products to be purchased in both audio and visual formats. This enables elderly individuals to shop with peace of mind while receiving visual and auditory support.

[0302] "Image processing means for identifying the elderly" refers to a technology that extracts the characteristics of the elderly from an image taken using a camera and identifies the person based on their age group.

[0303] "Adaptive mode" refers to a mode in which the interface is automatically changed according to the characteristics of the user, aiming to improve the display and operability for the elderly.

[0304] "Display adjustment means" refers to a function that changes the display content and size on the screen according to the detected user, making it easier to view and operate.

[0305] "Guiding means" refers to a technology for conveying information to the user about the purchased product through sound or display, aiming to clearly convey the product name, price, etc.

[0306] "Eye gaze detection means" refers to a technology that tracks the user's eye gaze and identifies the object being focused on, aiming to appropriately present information about the product of interest.

[0307] "Guiding means" refers to a function that gives instructions and confirmations to ensure the smooth progress of procedures according to the payment method selected by the user.

[0308] "Notification means" refers to a system that prompts the user with sound or display to remind them not to forget to take the product after payment.

[0309] The system that realizes the present invention is designed so that the elderly and people with dementia can easily go shopping. The server analyzes the user's image using image processing technology to identify the elderly. When identified, the server notifies the terminal, and the terminal immediately activates the adaptive mode. In this adaptive mode, the display adjustment means operates to provide large characters and simplified options for the elderly.

[0310] The terminal uses guidance devices to provide audio and visual information about product names and prices when the user checks a product. Eye-tracking devices track the user's gaze and appropriately present information related to products of interest. During payment, guidance devices activate, providing visual and audio guidance according to the user's chosen payment method. Upon completion of payment, a notification device activates, reminding the user to take their items with them.

[0311] To further enhance the user experience, hardware such as smart glasses and head-mounted displays are used, and image processing is performed using software such as TensorFlow and OpenCV. In addition, standard speech synthesis technology is used for voice guidance.

[0312] For example, if an elderly user picks up an apple in a supermarket, the eye-tracking device will detect that they are fixated on the apple, and the terminal will announce a voice message saying, "The apple is 150 yen." When the user chooses to pay with cash, the terminal can then instruct them to "Please insert cash."

[0313] An example of a prompt to the generating AI model might be: "Consider an application that allows elderly people to view product information and make payments smoothly through their glasses. It uses voice guidance and eye-tracking technology. How can you create it?" In this way, the present invention can significantly improve the shopping experience for the elderly.

[0314] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0315] Step 1:

[0316] The server receives user image data sent from the terminal and uses image processing technology to determine the user's age. The input is the user's image data, and the output is the result of determining whether or not the user is elderly. Specifically, it uses tools such as TensorFlow to analyze the image and identify the user's age group.

[0317] Step 2:

[0318] The server sends the judgment result to the terminal. The input is the age judgment result, and the output is a notification of the judgment result to the terminal. If the age judgment exceeds a certain threshold, an adaptive mode activation command is automatically included.

[0319] Step 3:

[0320] The terminal activates adaptive mode based on notifications received from the server. The input is the judgment notification from the server, and the output is the state in which the interface has been adjusted for elderly users. The screen immediately adjusts the font size and simplifies the displayed content.

[0321] Step 4:

[0322] When a user checks products, the device's camera detects their gaze and identifies the product they are focusing on. The input is the user's gaze information, and the output is the identification of the product name they are interested in. The gaze detection means determines the product of interest.

[0323] Step 5:

[0324] The terminal displays information about the featured product both audibly and visually. Input is the specific information of the featured product, and output is voice guidance and screen display. For example, it might say, "Apples are 150 yen."

[0325] Step 6:

[0326] Once the user selects a payment method, the terminal assists with the payment using guidance mechanisms. The input is the user's selection of the payment method, and the output is the completion of the payment process. Specifically, when cash is selected, the terminal will instruct the user with a voice message such as "Please insert cash."

[0327] Step 7:

[0328] Once payment is complete, the terminal notifies the user to remember their items. Input is payment completion information, and output is a voice and display reminder. The instructions include phrases like, "Please remember to take your items with you."

[0329] 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.

[0330] This invention is a system that combines an emotion engine with a shopping support checkout system to grasp the user's emotional state in real time and provide appropriate guidance and support accordingly. This system is designed to allow elderly people and those with dementia to shop with peace of mind.

[0331] The server receives video data transmitted from the terminal and uses image recognition to determine if the customer is elderly. If it is determined that the customer is elderly, it instructs the terminal to switch to slow mode and changes the interface to a user-friendly design. In addition, the server uses an emotion engine to analyze the user's facial expressions and voice tone to evaluate their current emotional state.

[0332] Based on instructions from the server, the terminal activates slow mode and displays large text and simplified operation menus. Once an item is scanned, the terminal provides a voice explanation of the information to the user. Furthermore, based on the results of the emotion engine, it provides additional voice guidance to help the user relax if they are feeling stressed or otherwise unwell.

[0333] When a user makes a payment, the terminal displays payment options on the screen and provides voice guidance. If the user shows hesitation, the emotion engine prompts the terminal to provide feedback and assist in making the specific payment process easier. In this case, voice guidance to enhance reassurance and further assistance may be automatically provided.

[0334] After payment is complete, the terminal, based on the emotion engine's evaluation, displays additional reassuring messages to the user, or provides voice messages confirming that no items have been left behind, especially when necessary. As a result, users can complete their shopping in a more relaxed state.

[0335] This system is designed for use in supermarkets and drugstores frequently visited by the elderly, aiming to reduce the burden on both the elderly themselves and store staff while providing a safe and comfortable shopping experience.

[0336] The following describes the processing flow.

[0337] Step 1:

[0338] The device activates its built-in camera and captures the customer's image. This video data is transmitted to the server in real time.

[0339] Step 2:

[0340] The server analyzes the received video data and uses image recognition to determine if the customer is elderly. Based on the determination result, it instructs the terminal to activate slow mode.

[0341] Step 3:

[0342] If the device detects that the user is elderly, it automatically switches the interface to slow mode. This enlarges the text size on the screen and simplifies the operation menu.

[0343] Step 4:

[0344] The server uses an emotion engine to analyze the customer's facial expressions from video data and evaluate their emotional state. This evaluation result is then sent to the terminal.

[0345] Step 5:

[0346] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal displays the name and price of the scanned item on the screen and provides voice guidance to the user.

[0347] Step 6:

[0348] Based on the results of the emotion engine, if the device is assessed as indicating that the user is experiencing stress, it will initiate additional voice guidance designed to promote relaxation.

[0349] Step 7:

[0350] The user selects a payment method. The terminal displays multiple payment options on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0351] Step 8:

[0352] The server continuously monitors the user's emotional state. During the payment process, if anxiety or hesitation is detected, it instructs the device to provide reassuring voice feedback.

[0353] Step 9:

[0354] Once payment is complete, the terminal will announce via voice, "All procedures are complete. Please remember to take your items with you," and will also display the same message on the screen.

[0355] Step 10:

[0356] The terminal saves all operation logs and prepares for the next customer. It analyzes data to use feedback from the emotion engine's evaluation to improve future services.

[0357] (Example 2)

[0358] 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".

[0359] There is a need for a system that allows elderly users and those with cognitive impairments to complete their shopping with peace of mind, without feeling anxious or confused by the operation of the system. Furthermore, it is necessary to provide appropriate support tailored to the user's situation, such as preventing the loss of purchased items and providing assistance during payment. Conventional systems have struggled to analyze the user's emotional state in real time and provide appropriate guidance based on that analysis.

[0360] 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.

[0361] In this invention, the server includes visual information analysis means, information display control means, and information provision means. This makes it possible to evaluate the emotional state of elderly users or users with cognitive impairments in real time and provide guidance and support that enhances their sense of security based on that evaluation.

[0362] "Visual information analysis means" refers to processing technology that analyzes image information contained in video data to determine whether or not a person is elderly.

[0363] "Information display control means" refers to technology for displaying an appropriate user interface according to the detected state of the user.

[0364] "Information provision means" refers to technologies that provide users with information and guidance on products they are purchasing, using both audio and visual means.

[0365] "Emotional analysis methods" are technologies that analyze a user's facial expressions and tone of voice to evaluate their emotional state in real time.

[0366] "Information transmission means" refers to technologies that provide users with visual and auditory feedback when selecting a payment method.

[0367] This invention incorporates a function that analyzes the emotional state of elderly users and those with cognitive impairments in real time, enabling them to shop with peace of mind in a shopping support system. The system is realized through the cooperation of three elements: a server, a terminal, and the user.

[0368] The server receives video data transmitted from terminals installed within the store. Using this video data, it uses visual information analysis technologies such as OpenCV and TensorFlow to determine whether the user is elderly. If it is determined that the user is elderly, it instructs the terminal to switch to slow-motion mode and control the information display.

[0369] The terminal switches its information display function based on instructions from the server. This provides larger text and simplified operation menus than usual. Furthermore, it uses speech synthesis technology such as Amazon Polly to provide users with voice guidance about the products they are purchasing. It also provides relaxing voice guidance as needed based on the results of emotion analysis from the server.

[0370] Users can smoothly select and pay for products using the voice guidance and visual information provided by the terminal. During payment, the server guides the user through the payment method and provides appropriate assistance according to the user's choices. After payment is complete, the terminal provides a voice message confirming that no items have been left behind, allowing users to complete their shopping with peace of mind.

[0371] One concrete example is a scenario where this system is used in a supermarket frequented by many elderly people. Cameras installed near the checkout counters in the store detect elderly customers, and slow-motion mode is automatically applied. While shopping, the user's facial expressions are analyzed by the camera, and if they appear stressed, a relaxing guide such as "Please take your time" is provided.

[0372] An example of a prompt might be, "Generate an audio guide to reduce stress for elderly people while shopping. The content should cover three points." This would allow the generating AI model to provide an audio guide appropriate to the situation.

[0373] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0374] Step 1:

[0375] The server receives video data transmitted from the terminal. This video data includes the faces and body movements of users inside the store. Using visual information analysis technology, the server determines from this data whether the user is elderly. This process utilizes OpenCV and TensorFlow, and analyzes the input data using image analysis algorithms to output a result indicating whether the user is elderly.

[0376] Step 2:

[0377] If the device is determined to be elderly, the server sends a signal to the terminal to instruct it to activate slow mode. The input is the result of the elderly determination, and the output is the instruction to apply slow mode to the terminal. Specifically, it transfers a configuration profile for slow mode to the terminal and provides commands to adjust the visual and audio information display for elderly users.

[0378] Step 3:

[0379] Upon receiving a slow mode instruction, the terminal activates its information display control mechanism. The terminal displays text using large fonts and a simplified menu screen. At this time, the interface is reconfigured using a GUI library. Based on the instruction received as the entry point, a user-friendly display is output.

[0380] Step 4:

[0381] When a user scans an item, the terminal queries a database to retrieve the item's information. The input is the scanned item code, and the output is the detailed information about that item. Once the terminal has retrieved the item information, it uses speech synthesis software to communicate that information to the user verbally. For example, it might say, "This item costs 500 yen."

[0382] Step 5:

[0383] The server analyzes the user's facial expressions and voice tone in real time using emotion analysis tools. The input is audio and video data transmitted from the terminal, and the output is the user's emotional state. Specifically, the emotion engine evaluates facial features and audio signals and calculates indicators of relaxation and stress.

[0384] Step 6:

[0385] During payment, the terminal displays multiple payment options to the user. Input is the payment guidance procedure from the server, and output is visual and audio guidance on the payment method. Based on the user's selection, the terminal highlights the selected payment method and clearly presents the details of the procedure.

[0386] Step 7:

[0387] After payment is complete, the terminal plays a voice message asking the user, "Have you left anything behind?" as a reminder. This action allows the user to complete their shopping with peace of mind. The input is the payment completion event, and the output is the reminder voice message.

[0388] (Application Example 2)

[0389] 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."

[0390] There is a need to provide a safer and more comfortable shopping experience for the elderly and those with dementia, ensuring they do not experience stress or confusion while shopping. In particular, they are prone to stress from unfamiliar interfaces and payment procedures in stores, so these issues need to be addressed.

[0391] 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.

[0392] In this invention, the server includes image recognition means for detecting elderly people, display control means for automatically activating slow mode for detected elderly people, guidance means for providing information about the products to be purchased via voice and visual means, guidance means for guiding the user to make a payment based on the payment method selected by the user, reminder means for preventing the user from leaving products behind after payment is completed, emotion analysis means for analyzing the user's emotional state from their facial expressions and voice, and support means for providing visual and audio guidance to reduce stress based on the analysis results. This makes it possible for elderly people to shop with peace of mind and complete the payment process without feeling stressed.

[0393] "Image recognition means" refers to a technology that analyzes input video data and detects and identifies objects based on specific conditions.

[0394] "Display control means" refers to a function that switches the interface to an appropriate mode according to the user's needs.

[0395] A "guidance system" is a system that provides information to users through audio and visual means and guides them through the operation of the system.

[0396] "Guidance means" are technologies that assist users in smoothly carrying out the procedures they have selected.

[0397] A "reminder function" is a feature that notifies users so they don't forget important matters.

[0398] "Emotion analysis methods" are technologies that evaluate the user's current emotional state based on data from their facial expressions and voice.

[0399] A "support system" is a system designed to reduce stress by providing appropriate support to users based on analysis results.

[0400] The system implementing this invention provides comprehensive support to enable elderly people and those with dementia to shop with peace of mind.

[0401] The server analyzes video and audio data obtained from smart devices equipped with cameras and microphones to detect elderly individuals. It uses hardware such as smart glasses or smartphone cameras to capture the user's face and analyzes the data using image recognition. This analysis utilizes software such as the OpenCV library and the Google Cloud Vision API.

[0402] If the terminal detects that the user is elderly, it uses display control to switch the interface to slow mode. In this mode, text is displayed in a larger size and the operating procedures are simplified. Information about the products to be purchased is provided through both audio and visual guidance, using IBM Watson Text to Speech. Once a product is scanned, its information is explained to the user verbally.

[0403] The emotion analysis tool, which assesses the user's emotional state, uses the Microsoft Azure Emotion API to analyze the user's facial expressions and tone of voice. If the user is experiencing stress, it provides a relaxing audio guide through support tools. This entire experience allows users to shop without feeling stressed.

[0404] During the payment process, guidance systems provide visual and audio instructions based on the user's chosen payment method. The displayed options and progress are designed to be easily understood by the user.

[0405] To give a specific example, when an elderly person is shopping at a drugstore, smart glasses read their facial expressions, and the system detects that they are having trouble choosing a product. The smart glasses then begin guiding the elderly person with a gentle voice, saying, "This product is on sale today. Is this the right product for you?", supporting them in making a decision with confidence.

[0406] An example of a prompt message is: "A 70-year-old man is shopping at a drugstore. Analyze his emotional state from his facial expressions and voice, and consider how the device can help him if he is feeling stressed."

[0407] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0408] Step 1:

[0409] The user inputs video data through the device's camera. The server receives this video data, performs image recognition using the OpenCV library, and determines whether or not the user is elderly. The output of this step is a flag indicating whether or not the user is elderly.

[0410] Step 2:

[0411] If the server determines that the user is elderly, the terminal activates the display control mechanism and sets the interface to slow mode. At this point, the terminal displays large text and a simplified operation menu on the screen. The output of this step provides visual feedback to the user.

[0412] Step 3:

[0413] The user scans the product. The scanned data is guided by the terminal both audibly and visually. The terminal uses IBM Watson Text to Speech to read the product information aloud. The output of this step is the audible guidance and visual display of the product information.

[0414] Step 4:

[0415] The server uses the Microsoft Azure Emotion API to analyze the user's facial expressions and voice. The input is data of the user's facial expressions and voice, and the output obtained from the analysis is the user's current emotional state. Based on these results, the device provides voice guidance to reduce stress as needed.

[0416] Step 5:

[0417] When a user selects a payment method, the terminal guides them visually and audibly using guidance mechanisms. The input consists of the user's payment options, which the terminal displays clearly and provides audible support. The output is guiding information to assist the user in making their decision.

[0418] Step 6:

[0419] After payment is complete, the terminal uses a reminder mechanism to notify the user not to leave the item behind. In this step, it receives a payment completion signal as input and outputs audio and visual reminders to the user.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] [Third Embodiment]

[0424] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0425] 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.

[0426] 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).

[0427] 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.

[0428] 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.

[0429] 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).

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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".

[0436] This invention relates to a shopping assistance checkout system intended for use by elderly individuals and those with dementia under specific conditions. The system includes image recognition means for detecting elderly individuals and activating a slow mode, which is integrated into the terminal used for the system. An overall embodiment of this system is described below.

[0437] The server analyzes the video data transmitted using the terminal's camera in real time. It uses image recognition technology to identify age-related characteristics, and if it detects an elderly person, it notifies the terminal of this information.

[0438] When the terminal receives a notification from the server, it switches the interface to slow mode. In this mode, the displayed text is larger, and the selection options are simplified for easier understanding. Information about purchased items is provided through both voice and on-screen. For example, when a user scans an item, the device will announce the item's name and price, such as "Apples are 150 yen."

[0439] When a user makes a payment, the terminal presents multiple payment methods and provides corresponding visual and audio guidance. If the user chooses to pay with cash, the terminal will prompt the user with a voice message saying "Please insert cash" and, if necessary, display the location for inserting cash.

[0440] After payment is complete, the terminal prompts the user to confirm the total amount, and once confirmation is complete, it provides an audio reminder to not forget their items. This reminder states, "Please remember to take your items with you," and the same message is also displayed on the screen to draw the user's attention.

[0441] Specific examples of this system include its use in workplaces and public commercial facilities to facilitate daily shopping for the elderly. This allows users to enjoy shopping with peace of mind and provides a pleasant purchasing experience.

[0442] The following describes the processing flow.

[0443] Step 1:

[0444] The terminal activates its built-in camera and captures video footage of the customer standing in front of the register. The video data is then sent to the server.

[0445] Step 2:

[0446] The server analyzes the received video data and uses image recognition technology to extract age-related features. If it determines that the person is elderly, it notifies the terminal of this information.

[0447] Step 3:

[0448] When the device receives an elderly person detection notification from the server, it automatically switches the interface to slow mode. This enlarges the text on the screen and changes the design to one that is easier to read.

[0449] Step 4:

[0450] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal retrieves the product name and price based on the barcode information, displays it on the screen, and provides this information via voice.

[0451] Step 5:

[0452] The terminal displays multiple payment method options (cash, card, e-money, etc.) on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0453] Step 6:

[0454] The user selects their preferred payment method from the presented options. For example, they might choose to pay in cash.

[0455] Step 7:

[0456] The terminal guides the user through the payment process based on their chosen payment method. If cash is selected, it will provide voice instructions such as "Please insert the cash into the designated slot" and visually display the slot on the screen.

[0457] Step 8:

[0458] Once payment is complete, the terminal prompts the user to confirm the total amount, displaying a message such as, "The total amount is XX yen. Please press the confirmation button," and showing a confirmation button on the screen.

[0459] Step 9:

[0460] The user presses the confirmation button. The terminal then voice-reminds the user, "Please remember to take your items with you," to prevent them from forgetting their payment and items. This message is also displayed on the screen.

[0461] Step 10:

[0462] The terminal logs that all operations are complete and prepares to receive the next customer.

[0463] (Example 1)

[0464] 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."

[0465] When elderly people or those with dementia shop independently, there is a need to eliminate the inconvenience caused by difficulty in reading information and the complexity of payment procedures. Furthermore, an effective system is needed to prevent customers from misplacing purchased items.

[0466] 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.

[0467] In this invention, the server includes means for setting criteria for determining the age characteristics of the person to be recognized, means for having an algorithm for analyzing digital images to recognize an elderly person, and means for automatically converting a user interface to adjust the operating speed for the recognized elderly person. This enables elderly people to enjoy shopping smoothly and safely.

[0468] The term "elderly" generally refers to individuals who are older and whose physical and cognitive functions have changed due to aging.

[0469] "Recognizing" refers to the process of analyzing digital images and identifying specific patterns or features.

[0470] An "algorithm" refers to a series of computational steps used to solve a specific problem.

[0471] "User interface" refers to the means and environment through which a user interacts with a device or system.

[0472] "Acoustic signals" refer to waveforms and data used to transmit sound information.

[0473] "Visual display" refers to presenting information through visual means, and typically involves using screens or displays.

[0474] "Payment method" refers to the payment mechanism used to pay for goods or services.

[0475] "To assist" refers to helping or facilitating actions when a user performs a specific task.

[0476] A "warning" refers to a notification or alert provided to a user to draw their attention to something.

[0477] "Forgetting" refers to a psychological state in which one loses awareness or memory of something.

[0478] This invention is a support system designed to enable elderly people and those with dementia to shop smoothly in stores. The system mainly consists of two elements: a server and a terminal.

[0479] Server Embodiment

[0480] The server is equipped with a processor for executing image recognition algorithms. It receives video data transmitted in real time from the terminal's camera and analyzes the characteristics of elderly people using image processing libraries (e.g., TensorFlow, OpenCV). When it detects age-related patterns, the server sends a signal to the terminal indicating the presence of an elderly person. This allows the terminal to activate a special mode.

[0481] Terminal embodiment

[0482] The terminal has a feature that automatically switches the user interface to slow mode when it receives a notification that an elderly person has been detected. In this mode, the displayed text is enlarged, the options are simplified, and voice guidance is provided. Text-to-speech software (e.g., Google Text-to-Speech) is used to allow the user to hear the details of the scanned items. Each time an item is scanned, a voice guide is created, such as "Apples are 150 yen." During the payment process, the terminal presents multiple payment methods and provides corresponding voice and visual instructions. If cash payment is selected, the user will be instructed to "Please insert cash."

[0483] Specific user actions

[0484] The user is guided through the process from scanning the items to completing the payment. The system also provides reminders to prevent users from leaving items behind. Once payment is complete, a voice message and a similar message are displayed on the screen, saying, "Please remember to take your items with you."

[0485] As a concrete example, a prompt simulating a scenario where an elderly person aged 70 or older uses this system might be: "Explain how the user interface should be modified as needed to allow elderly people to shop smoothly." This prompt is used during simulation or training within the generative AI model.

[0486] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0487] Step 1:

[0488] The server receives video data transmitted from the terminal's camera as input in real time. Based on the video data, it analyzes the image data using an image processing library (e.g., OpenCV) to identify characteristics of elderly people (e.g., wrinkles, hair color, etc.). As a result of this analysis, it outputs a determination of whether the person is elderly.

[0489] Step 2:

[0490] If the server determines that the user is elderly, it notifies the terminal of this information. The notification is sent via data packets using the Internet Protocol. The output is an "elderly person detected" status, which is then forwarded to the terminal.

[0491] Step 3:

[0492] The terminal receives the "elderly person detected" status from the server as input and switches the interface to slow mode. Specifically, a program is executed to enlarge the font size of UI components and simplify the selection options. This modified interface is then output.

[0493] Step 4:

[0494] The user retrieves a product and inputs product information by scanning it with the terminal's scanner. The terminal then verifies the product information against a database and outputs it as an audio guide using a text-to-speech engine (e.g., product name, price).

[0495] Step 5:

[0496] The terminal presents the user with multiple payment method options during the payment process. It accepts the selection as input and provides visual and audio guidance for the corresponding payment. The output is specific instructions based on the user's payment selection.

[0497] Step 6:

[0498] Once the user completes the payment, the terminal receives a "payment complete" status as input. It then displays a prompt to confirm the total amount and outputs a voice reminder saying, "Please remember to take your items with you." This final output serves as a reminder and confirmation message to the user.

[0499] (Application Example 1)

[0500] 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."

[0501] When elderly people and those with dementia shop, there is a need to mitigate challenges caused by impaired vision and hearing, and to alleviate anxiety during payment procedures. This invention aims to improve these user experiences and support people in shopping with greater peace of mind.

[0502] 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.

[0503] In this invention, the server includes image processing means for identifying elderly individuals, display adjustment means for automatically activating an adaptive mode for the identified elderly individuals, and guidance means for providing information about the products to be purchased in both audio and visual formats. This enables elderly individuals to shop with peace of mind while receiving visual and auditory support.

[0504] "Image processing means for identifying elderly people" refers to a technology that extracts the characteristics of elderly people from images taken using a camera and identifies them based on their age group.

[0505] "Adaptive mode" is a mode in which the interface is automatically changed according to the user's characteristics, and its purpose is to improve the display and operability with consideration for the elderly.

[0506] "Display adjustment means" refers to a function that changes the content and size of the display on the screen according to the detected user, making it easier to see and operate.

[0507] "Information tools" refer to technologies used to convey information about products to be purchased to users through audio or displays, with the aim of clearly communicating product names, prices, and other relevant information.

[0508] "Eye-tracking means" refers to technology that tracks a user's gaze and identifies the object they are focusing on, in order to appropriately present information about products of interest.

[0509] A "guidance mechanism" is a function that provides instructions and confirmations to ensure that the process proceeds smoothly according to the payment method selected by the user.

[0510] A "notification method" is a system that uses voice or visual reminders to ensure that users remember to take their purchased items with them after payment is complete.

[0511] The system realizing this invention is designed to allow elderly people and those with dementia to shop easily. The server uses image processing technology to analyze the user's image and identify elderly people. If identified, the server notifies the terminal, which immediately activates adaptive mode. In this adaptive mode, display adjustment means are activated to provide larger text and simplified options for elderly people.

[0512] The terminal uses guidance devices to provide audio and visual information about product names and prices when the user checks a product. Eye-tracking devices track the user's gaze and appropriately present information related to products of interest. During payment, guidance devices activate, providing visual and audio guidance according to the user's chosen payment method. Upon completion of payment, a notification device activates, reminding the user to take their items with them.

[0513] To further enhance the user experience, hardware such as smart glasses and head-mounted displays are used, and image processing is performed using software such as TensorFlow and OpenCV. In addition, standard speech synthesis technology is used for voice guidance.

[0514] For example, if an elderly user picks up an apple in a supermarket, the eye-tracking device will detect that they are fixated on the apple, and the terminal will announce a voice message saying, "The apple is 150 yen." When the user chooses to pay with cash, the terminal can then instruct them to "Please insert cash."

[0515] An example of a prompt to the generating AI model might be: "Consider an application that allows elderly people to view product information and make payments smoothly through their glasses. It uses voice guidance and eye-tracking technology. How can you create it?" In this way, the present invention can significantly improve the shopping experience for the elderly.

[0516] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0517] Step 1:

[0518] The server receives user image data sent from the terminal and uses image processing technology to determine the user's age. The input is the user's image data, and the output is the result of determining whether or not the user is elderly. Specifically, it uses tools such as TensorFlow to analyze the image and identify the user's age group.

[0519] Step 2:

[0520] The server sends the judgment result to the terminal. The input is the age judgment result, and the output is a notification of the judgment result to the terminal. If the age judgment exceeds a certain threshold, an adaptive mode activation command is automatically included.

[0521] Step 3:

[0522] The terminal activates adaptive mode based on notifications received from the server. The input is the judgment notification from the server, and the output is the state in which the interface has been adjusted for elderly users. The screen immediately adjusts the font size and simplifies the displayed content.

[0523] Step 4:

[0524] When a user checks products, the device's camera detects their gaze and identifies the product they are focusing on. The input is the user's gaze information, and the output is the identification of the product name they are interested in. The gaze detection means determines the product of interest.

[0525] Step 5:

[0526] The terminal displays information about the featured product both audibly and visually. Input is the specific information of the featured product, and output is voice guidance and screen display. For example, it might say, "Apples are 150 yen."

[0527] Step 6:

[0528] Once the user selects a payment method, the terminal assists with the payment using guidance mechanisms. The input is the user's selection of the payment method, and the output is the completion of the payment process. Specifically, when cash is selected, the terminal will instruct the user with a voice message such as "Please insert cash."

[0529] Step 7:

[0530] Once payment is complete, the terminal notifies the user to remember their items. Input is payment completion information, and output is a voice and display reminder. The instructions include phrases like, "Please remember to take your items with you."

[0531] 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.

[0532] This invention is a system that combines an emotion engine with a shopping support checkout system to grasp the user's emotional state in real time and provide appropriate guidance and support accordingly. This system is designed to allow elderly people and those with dementia to shop with peace of mind.

[0533] The server receives video data transmitted from the terminal and uses image recognition to determine if the customer is elderly. If it is determined that the customer is elderly, it instructs the terminal to switch to slow mode and changes the interface to a user-friendly design. In addition, the server uses an emotion engine to analyze the user's facial expressions and voice tone to evaluate their current emotional state.

[0534] Based on instructions from the server, the terminal activates slow mode and displays large text and simplified operation menus. Once an item is scanned, the terminal provides a voice explanation of the information to the user. Furthermore, based on the results of the emotion engine, it provides additional voice guidance to help the user relax if they are feeling stressed or otherwise unwell.

[0535] When a user makes a payment, the terminal displays payment options on the screen and provides voice guidance. If the user shows hesitation, the emotion engine prompts the terminal to provide feedback and assist in making the specific payment process easier. In this case, voice guidance to enhance reassurance and further assistance may be automatically provided.

[0536] After payment is complete, the terminal, based on the emotion engine's evaluation, displays additional reassuring messages to the user, or provides voice messages confirming that no items have been left behind, especially when necessary. As a result, users can complete their shopping in a more relaxed state.

[0537] This system is designed for use in supermarkets and drugstores frequently visited by the elderly, aiming to reduce the burden on both the elderly themselves and store staff while providing a safe and comfortable shopping experience.

[0538] The following describes the processing flow.

[0539] Step 1:

[0540] The device activates its built-in camera and captures the customer's image. This video data is transmitted to the server in real time.

[0541] Step 2:

[0542] The server analyzes the received video data and uses image recognition to determine if the customer is elderly. Based on the determination result, it instructs the terminal to activate slow mode.

[0543] Step 3:

[0544] If the device detects that the user is elderly, it automatically switches the interface to slow mode. This enlarges the text size on the screen and simplifies the operation menu.

[0545] Step 4:

[0546] The server uses an emotion engine to analyze the customer's facial expressions from video data and evaluate their emotional state. This evaluation result is then sent to the terminal.

[0547] Step 5:

[0548] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal displays the name and price of the scanned item on the screen and provides voice guidance to the user.

[0549] Step 6:

[0550] Based on the results of the emotion engine, if the device is assessed as indicating that the user is experiencing stress, it will initiate additional voice guidance designed to promote relaxation.

[0551] Step 7:

[0552] The user selects a payment method. The terminal displays multiple payment options on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0553] Step 8:

[0554] The server continuously monitors the user's emotional state. During the payment process, if anxiety or hesitation is detected, it instructs the device to provide reassuring voice feedback.

[0555] Step 9:

[0556] Once payment is complete, the terminal will announce via voice, "All procedures are complete. Please remember to take your items with you," and will also display the same message on the screen.

[0557] Step 10:

[0558] The terminal saves all operation logs and prepares for the next customer. It analyzes data to use feedback from the emotion engine's evaluation to improve future services.

[0559] (Example 2)

[0560] 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."

[0561] There is a need for a system that allows elderly users and those with cognitive impairments to complete their shopping with peace of mind, without feeling anxious or confused by the operation of the system. Furthermore, it is necessary to provide appropriate support tailored to the user's situation, such as preventing the loss of purchased items and providing assistance during payment. Conventional systems have struggled to analyze the user's emotional state in real time and provide appropriate guidance based on that analysis.

[0562] 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.

[0563] In this invention, the server includes visual information analysis means, information display control means, and information provision means. This makes it possible to evaluate the emotional state of elderly users or users with cognitive impairments in real time and provide guidance and support that enhances their sense of security based on that evaluation.

[0564] "Visual information analysis means" refers to processing technology that analyzes image information contained in video data to determine whether or not a person is elderly.

[0565] "Information display control means" refers to technology for displaying an appropriate user interface according to the detected state of the user.

[0566] "Information provision means" refers to technologies that provide users with information and guidance on products they are purchasing, using both audio and visual means.

[0567] "Emotional analysis methods" are technologies that analyze a user's facial expressions and tone of voice to evaluate their emotional state in real time.

[0568] "Information transmission means" refers to technologies that provide users with visual and auditory feedback when selecting a payment method.

[0569] This invention incorporates a function that analyzes the emotional state of elderly users and those with cognitive impairments in real time, enabling them to shop with peace of mind in a shopping support system. The system is realized through the cooperation of three elements: a server, a terminal, and the user.

[0570] The server receives video data transmitted from terminals installed within the store. Using this video data, it uses visual information analysis technologies such as OpenCV and TensorFlow to determine whether the user is elderly. If it is determined that the user is elderly, it instructs the terminal to switch to slow-motion mode and control the information display.

[0571] The terminal switches its information display function based on instructions from the server. This provides larger text and simplified operation menus than usual. Furthermore, it uses speech synthesis technology such as Amazon Polly to provide users with voice guidance about the products they are purchasing. It also provides relaxing voice guidance as needed based on the results of emotion analysis from the server.

[0572] Users can smoothly select and pay for products using the voice guidance and visual information provided by the terminal. During payment, the server guides the user through the payment method and provides appropriate assistance according to the user's choices. After payment is complete, the terminal provides a voice message confirming that no items have been left behind, allowing users to complete their shopping with peace of mind.

[0573] One concrete example is a scenario where this system is used in a supermarket frequented by many elderly people. Cameras installed near the checkout counters in the store detect elderly customers, and slow-motion mode is automatically applied. While shopping, the user's facial expressions are analyzed by the camera, and if they appear stressed, a relaxing guide such as "Please take your time" is provided.

[0574] An example of a prompt might be, "Generate an audio guide to reduce stress for elderly people while shopping. The content should cover three points." This would allow the generating AI model to provide an audio guide appropriate to the situation.

[0575] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0576] Step 1:

[0577] The server receives video data transmitted from the terminal. This video data includes the faces and body movements of users inside the store. Using visual information analysis technology, the server determines from this data whether the user is elderly. This process utilizes OpenCV and TensorFlow, and analyzes the input data using image analysis algorithms to output a result indicating whether the user is elderly.

[0578] Step 2:

[0579] If the device is determined to be elderly, the server sends a signal to the terminal to instruct it to activate slow mode. The input is the result of the elderly determination, and the output is the instruction to apply slow mode to the terminal. Specifically, it transfers a configuration profile for slow mode to the terminal and provides commands to adjust the visual and audio information display for elderly users.

[0580] Step 3:

[0581] Upon receiving a slow mode instruction, the terminal activates its information display control mechanism. The terminal displays text using large fonts and a simplified menu screen. At this time, the interface is reconfigured using a GUI library. Based on the instruction received as the entry point, a user-friendly display is output.

[0582] Step 4:

[0583] When a user scans an item, the terminal queries a database to retrieve the item's information. The input is the scanned item code, and the output is the detailed information about that item. Once the terminal has retrieved the item information, it uses speech synthesis software to communicate that information to the user verbally. For example, it might say, "This item costs 500 yen."

[0584] Step 5:

[0585] The server analyzes the user's facial expressions and voice tone in real time using emotion analysis tools. The input is audio and video data transmitted from the terminal, and the output is the user's emotional state. Specifically, the emotion engine evaluates facial features and audio signals and calculates indicators of relaxation and stress.

[0586] Step 6:

[0587] During payment, the terminal displays multiple payment options to the user. Input is the payment guidance procedure from the server, and output is visual and audio guidance on the payment method. Based on the user's selection, the terminal highlights the selected payment method and clearly presents the details of the procedure.

[0588] Step 7:

[0589] After payment is complete, the terminal plays a voice message asking the user, "Have you left anything behind?" as a reminder. This action allows the user to complete their shopping with peace of mind. The input is the payment completion event, and the output is the reminder voice message.

[0590] (Application Example 2)

[0591] 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."

[0592] There is a need to provide a safer and more comfortable shopping experience for the elderly and those with dementia, ensuring they do not experience stress or confusion while shopping. In particular, they are prone to stress from unfamiliar interfaces and payment procedures in stores, so these issues need to be addressed.

[0593] 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.

[0594] In this invention, the server includes image recognition means for detecting elderly people, display control means for automatically activating slow mode for detected elderly people, guidance means for providing information about the products to be purchased via voice and visual means, guidance means for guiding the user to make a payment based on the payment method selected by the user, reminder means for preventing the user from leaving products behind after payment is completed, emotion analysis means for analyzing the user's emotional state from their facial expressions and voice, and support means for providing visual and audio guidance to reduce stress based on the analysis results. This makes it possible for elderly people to shop with peace of mind and complete the payment process without feeling stressed.

[0595] "Image recognition means" refers to a technology that analyzes input video data and detects and identifies objects based on specific conditions.

[0596] "Display control means" refers to a function that switches the interface to an appropriate mode according to the user's needs.

[0597] A "guidance system" is a system that provides information to users through audio and visual means and guides them through the operation of the system.

[0598] "Guidance means" are technologies that assist users in smoothly carrying out the procedures they have selected.

[0599] A "reminder function" is a feature that notifies users so they don't forget important matters.

[0600] "Emotion analysis methods" are technologies that evaluate the user's current emotional state based on data from their facial expressions and voice.

[0601] A "support system" is a system designed to reduce stress by providing appropriate support to users based on analysis results.

[0602] The system implementing this invention provides comprehensive support to enable elderly people and those with dementia to shop with peace of mind.

[0603] The server analyzes video and audio data obtained from smart devices equipped with cameras and microphones to detect elderly individuals. It uses hardware such as smart glasses or smartphone cameras to capture the user's face and analyzes the data using image recognition. This analysis utilizes software such as the OpenCV library and the Google Cloud Vision API.

[0604] If the terminal detects that the user is elderly, it uses display control to switch the interface to slow mode. In this mode, text is displayed in a larger size and the operating procedures are simplified. Information about the products to be purchased is provided through both audio and visual guidance, using IBM Watson Text to Speech. Once a product is scanned, its information is explained to the user verbally.

[0605] The emotion analysis tool, which assesses the user's emotional state, uses the Microsoft Azure Emotion API to analyze the user's facial expressions and tone of voice. If the user is experiencing stress, it provides a relaxing audio guide through support tools. This entire experience allows users to shop without feeling stressed.

[0606] During the payment process, guidance systems provide visual and audio instructions based on the user's chosen payment method. The displayed options and progress are designed to be easily understood by the user.

[0607] To give a specific example, when an elderly person is shopping at a drugstore, smart glasses read their facial expressions, and the system detects that they are having trouble choosing a product. The smart glasses then begin guiding the elderly person with a gentle voice, saying, "This product is on sale today. Is this the right product for you?", supporting them in making a decision with confidence.

[0608] An example of a prompt message is: "A 70-year-old man is shopping at a drugstore. Analyze his emotional state from his facial expressions and voice, and consider how the device can help him if he is feeling stressed."

[0609] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0610] Step 1:

[0611] The user inputs video data through the device's camera. The server receives this video data, performs image recognition using the OpenCV library, and determines whether or not the user is elderly. The output of this step is a flag indicating whether or not the user is elderly.

[0612] Step 2:

[0613] If the server determines that the user is elderly, the terminal activates the display control mechanism and sets the interface to slow mode. At this point, the terminal displays large text and a simplified operation menu on the screen. The output of this step provides visual feedback to the user.

[0614] Step 3:

[0615] The user scans the product. The scanned data is guided by the terminal both audibly and visually. The terminal uses IBM Watson Text to Speech to read the product information aloud. The output of this step is the audible guidance and visual display of the product information.

[0616] Step 4:

[0617] The server uses the Microsoft Azure Emotion API to analyze the user's facial expressions and voice. The input is data of the user's facial expressions and voice, and the output obtained from the analysis is the user's current emotional state. Based on these results, the device provides voice guidance to reduce stress as needed.

[0618] Step 5:

[0619] When a user selects a payment method, the terminal guides them visually and audibly using guidance mechanisms. The input consists of the user's payment options, which the terminal displays clearly and provides audible support. The output is guiding information to assist the user in making their decision.

[0620] Step 6:

[0621] After payment is complete, the terminal uses a reminder mechanism to notify the user not to leave the item behind. In this step, it receives a payment completion signal as input and outputs audio and visual reminders to the user.

[0622] 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.

[0623] 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.

[0624] 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.

[0625] [Fourth Embodiment]

[0626] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0627] 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.

[0628] 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).

[0629] 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.

[0630] 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.

[0631] 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).

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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.

[0637] 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.

[0638] 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".

[0639] This invention relates to a shopping assistance checkout system intended for use by elderly individuals and those with dementia under specific conditions. The system includes image recognition means for detecting elderly individuals and activating a slow mode, which is integrated into the terminal used for the system. An overall embodiment of this system is described below.

[0640] The server analyzes the video data transmitted using the terminal's camera in real time. It uses image recognition technology to identify age-related characteristics, and if it detects an elderly person, it notifies the terminal of this information.

[0641] When the terminal receives a notification from the server, it switches the interface to slow mode. In this mode, the displayed text is larger, and the selection options are simplified for easier understanding. Information about purchased items is provided through both voice and on-screen. For example, when a user scans an item, the device will announce the item's name and price, such as "Apples are 150 yen."

[0642] When a user makes a payment, the terminal presents multiple payment methods and provides corresponding visual and audio guidance. If the user chooses to pay with cash, the terminal will prompt the user with a voice message saying "Please insert cash" and, if necessary, display the location for inserting cash.

[0643] After payment is complete, the terminal prompts the user to confirm the total amount, and once confirmation is complete, it provides an audio reminder to not forget their items. This reminder states, "Please remember to take your items with you," and the same message is also displayed on the screen to draw the user's attention.

[0644] Specific examples of this system include its use in workplaces and public commercial facilities to facilitate daily shopping for the elderly. This allows users to enjoy shopping with peace of mind and provides a pleasant purchasing experience.

[0645] The following describes the processing flow.

[0646] Step 1:

[0647] The terminal activates its built-in camera and captures video footage of the customer standing in front of the register. The video data is then sent to the server.

[0648] Step 2:

[0649] The server analyzes the received video data and uses image recognition technology to extract age-related features. If it determines that the person is elderly, it notifies the terminal of this information.

[0650] Step 3:

[0651] When the device receives an elderly person detection notification from the server, it automatically switches the interface to slow mode. This enlarges the text on the screen and changes the design to one that is easier to read.

[0652] Step 4:

[0653] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal retrieves the product name and price based on the barcode information, displays it on the screen, and provides this information via voice.

[0654] Step 5:

[0655] The terminal displays multiple payment method options (cash, card, e-money, etc.) on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0656] Step 6:

[0657] The user selects their preferred payment method from the presented options. For example, they might choose to pay in cash.

[0658] Step 7:

[0659] The terminal guides the user through the payment process based on their chosen payment method. If cash is selected, it will provide voice instructions such as "Please insert the cash into the designated slot" and visually display the slot on the screen.

[0660] Step 8:

[0661] Once payment is complete, the terminal prompts the user to confirm the total amount, displaying a message such as, "The total amount is XX yen. Please press the confirmation button," and showing a confirmation button on the screen.

[0662] Step 9:

[0663] The user presses the confirmation button. The terminal then voice-reminds the user, "Please remember to take your items with you," to prevent them from forgetting their payment and items. This message is also displayed on the screen.

[0664] Step 10:

[0665] The terminal logs that all operations are complete and prepares to receive the next customer.

[0666] (Example 1)

[0667] 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".

[0668] When elderly people or those with dementia shop independently, there is a need to eliminate the inconvenience caused by difficulty in reading information and the complexity of payment procedures. Furthermore, an effective system is needed to prevent customers from misplacing purchased items.

[0669] 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.

[0670] In this invention, the server includes means for setting criteria for determining the age characteristics of the person to be recognized, means for having an algorithm for analyzing digital images to recognize an elderly person, and means for automatically converting a user interface to adjust the operating speed for the recognized elderly person. This enables elderly people to enjoy shopping smoothly and safely.

[0671] The term "elderly" generally refers to individuals who are older and whose physical and cognitive functions have changed due to aging.

[0672] "Recognizing" refers to the process of analyzing digital images and identifying specific patterns or features.

[0673] An "algorithm" refers to a series of computational steps used to solve a specific problem.

[0674] "User interface" refers to the means and environment through which a user interacts with a device or system.

[0675] "Acoustic signals" refer to waveforms and data used to transmit sound information.

[0676] "Visual display" refers to presenting information through visual means, and typically involves using screens or displays.

[0677] "Payment method" refers to the payment mechanism used to pay for goods or services.

[0678] "To assist" refers to helping or facilitating actions when a user performs a specific task.

[0679] A "warning" refers to a notification or alert provided to a user to draw their attention to something.

[0680] "Forgetting" refers to a psychological state in which one loses awareness or memory of something.

[0681] This invention is a support system designed to enable elderly people and those with dementia to shop smoothly in stores. The system mainly consists of two elements: a server and a terminal.

[0682] Server Embodiment

[0683] The server is equipped with a processor for executing image recognition algorithms. It receives video data transmitted in real time from the terminal's camera and analyzes the characteristics of elderly people using image processing libraries (e.g., TensorFlow, OpenCV). When it detects age-related patterns, the server sends a signal to the terminal indicating the presence of an elderly person. This allows the terminal to activate a special mode.

[0684] Terminal embodiment

[0685] The terminal has a feature that automatically switches the user interface to slow mode when it receives a notification that an elderly person has been detected. In this mode, the displayed text is enlarged, the options are simplified, and voice guidance is provided. Text-to-speech software (e.g., Google Text-to-Speech) is used to allow the user to hear the details of the scanned items. Each time an item is scanned, a voice guide is created, such as "Apples are 150 yen." During the payment process, the terminal presents multiple payment methods and provides corresponding voice and visual instructions. If cash payment is selected, the user will be instructed to "Please insert cash."

[0686] Specific user actions

[0687] The user is guided through the process from scanning the items to completing the payment. The system also provides reminders to prevent users from leaving items behind. Once payment is complete, a voice message and a similar message are displayed on the screen, saying, "Please remember to take your items with you."

[0688] As a concrete example, a prompt simulating a scenario where an elderly person aged 70 or older uses this system might be: "Explain how the user interface should be modified as needed to allow elderly people to shop smoothly." This prompt is used during simulation or training within the generative AI model.

[0689] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0690] Step 1:

[0691] The server receives video data transmitted from the terminal's camera as input in real time. Based on the video data, it analyzes the image data using an image processing library (e.g., OpenCV) to identify characteristics of elderly people (e.g., wrinkles, hair color, etc.). As a result of this analysis, it outputs a determination of whether the person is elderly.

[0692] Step 2:

[0693] If the server determines that the user is elderly, it notifies the terminal of this information. The notification is sent via data packets using the Internet Protocol. The output is an "elderly person detected" status, which is then forwarded to the terminal.

[0694] Step 3:

[0695] The terminal receives the "elderly person detected" status from the server as input and switches the interface to slow mode. Specifically, a program is executed to enlarge the font size of UI components and simplify the selection options. This modified interface is then output.

[0696] Step 4:

[0697] The user retrieves a product and inputs product information by scanning it with the terminal's scanner. The terminal then verifies the product information against a database and outputs it as an audio guide using a text-to-speech engine (e.g., product name, price).

[0698] Step 5:

[0699] The terminal presents the user with multiple payment method options during the payment process. It accepts the selection as input and provides visual and audio guidance for the corresponding payment. The output is specific instructions based on the user's payment selection.

[0700] Step 6:

[0701] Once the user completes the payment, the terminal receives a "payment complete" status as input. It then displays a prompt to confirm the total amount and outputs a voice reminder saying, "Please remember to take your items with you." This final output serves as a reminder and confirmation message to the user.

[0702] (Application Example 1)

[0703] 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".

[0704] When elderly people and those with dementia shop, there is a need to mitigate challenges caused by impaired vision and hearing, and to alleviate anxiety during payment procedures. This invention aims to improve these user experiences and support people in shopping with greater peace of mind.

[0705] 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.

[0706] In this invention, the server includes image processing means for identifying elderly individuals, display adjustment means for automatically activating an adaptive mode for the identified elderly individuals, and guidance means for providing information about the products to be purchased in both audio and visual formats. This enables elderly individuals to shop with peace of mind while receiving visual and auditory support.

[0707] "Image processing means for identifying elderly people" refers to a technology that extracts the characteristics of elderly people from images taken using a camera and identifies them based on their age group.

[0708] "Adaptive mode" is a mode in which the interface is automatically changed according to the user's characteristics, and its purpose is to improve the display and operability with consideration for the elderly.

[0709] "Display adjustment means" refers to a function that changes the content and size of the display on the screen according to the detected user, making it easier to see and operate.

[0710] "Information tools" refer to technologies used to convey information about products to be purchased to users through audio or displays, with the aim of clearly communicating product names, prices, and other relevant information.

[0711] "Eye-tracking means" refers to technology that tracks a user's gaze and identifies the object they are focusing on, in order to appropriately present information about products of interest.

[0712] A "guidance mechanism" is a function that provides instructions and confirmations to ensure that the process proceeds smoothly according to the payment method selected by the user.

[0713] A "notification method" is a system that uses voice or visual reminders to ensure that users remember to take their purchased items with them after payment is complete.

[0714] The system realizing this invention is designed to allow elderly people and those with dementia to shop easily. The server uses image processing technology to analyze the user's image and identify elderly people. If identified, the server notifies the terminal, which immediately activates adaptive mode. In this adaptive mode, display adjustment means are activated to provide larger text and simplified options for elderly people.

[0715] The terminal uses guidance devices to provide audio and visual information about product names and prices when the user checks a product. Eye-tracking devices track the user's gaze and appropriately present information related to products of interest. During payment, guidance devices activate, providing visual and audio guidance according to the user's chosen payment method. Upon completion of payment, a notification device activates, reminding the user to take their items with them.

[0716] To further enhance the user experience, hardware such as smart glasses and head-mounted displays are used, and image processing is performed using software such as TensorFlow and OpenCV. In addition, standard speech synthesis technology is used for voice guidance.

[0717] For example, if an elderly user picks up an apple in a supermarket, the eye-tracking device will detect that they are fixated on the apple, and the terminal will announce a voice message saying, "The apple is 150 yen." When the user chooses to pay with cash, the terminal can then instruct them to "Please insert cash."

[0718] An example of a prompt to the generating AI model might be: "Consider an application that allows elderly people to view product information and make payments smoothly through their glasses. It uses voice guidance and eye-tracking technology. How can you create it?" In this way, the present invention can significantly improve the shopping experience for the elderly.

[0719] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0720] Step 1:

[0721] The server receives user image data sent from the terminal and uses image processing technology to determine the user's age. The input is the user's image data, and the output is the result of determining whether or not the user is elderly. Specifically, it uses tools such as TensorFlow to analyze the image and identify the user's age group.

[0722] Step 2:

[0723] The server sends the judgment result to the terminal. The input is the age judgment result, and the output is a notification of the judgment result to the terminal. If the age judgment exceeds a certain threshold, an adaptive mode activation command is automatically included.

[0724] Step 3:

[0725] The terminal activates adaptive mode based on notifications received from the server. The input is the judgment notification from the server, and the output is the state in which the interface has been adjusted for elderly users. The screen immediately adjusts the font size and simplifies the displayed content.

[0726] Step 4:

[0727] When a user checks products, the device's camera detects their gaze and identifies the product they are focusing on. The input is the user's gaze information, and the output is the identification of the product name they are interested in. The gaze detection means determines the product of interest.

[0728] Step 5:

[0729] The terminal displays information about the featured product both audibly and visually. Input is the specific information of the featured product, and output is voice guidance and screen display. For example, it might say, "Apples are 150 yen."

[0730] Step 6:

[0731] Once the user selects a payment method, the terminal assists with the payment using guidance mechanisms. The input is the user's selection of the payment method, and the output is the completion of the payment process. Specifically, when cash is selected, the terminal will instruct the user with a voice message such as "Please insert cash."

[0732] Step 7:

[0733] Once payment is complete, the terminal notifies the user to remember their items. Input is payment completion information, and output is a voice and display reminder. The instructions include phrases like, "Please remember to take your items with you."

[0734] 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.

[0735] This invention is a system that combines an emotion engine with a shopping support checkout system to grasp the user's emotional state in real time and provide appropriate guidance and support accordingly. This system is designed to allow elderly people and those with dementia to shop with peace of mind.

[0736] The server receives video data transmitted from the terminal and uses image recognition to determine if the customer is elderly. If it is determined that the customer is elderly, it instructs the terminal to switch to slow mode and changes the interface to a user-friendly design. In addition, the server uses an emotion engine to analyze the user's facial expressions and voice tone to evaluate their current emotional state.

[0737] Based on instructions from the server, the terminal activates slow mode and displays large text and simplified operation menus. Once an item is scanned, the terminal provides a voice explanation of the information to the user. Furthermore, based on the results of the emotion engine, it provides additional voice guidance to help the user relax if they are feeling stressed or otherwise unwell.

[0738] When a user makes a payment, the terminal displays payment options on the screen and provides voice guidance. If the user shows hesitation, the emotion engine prompts the terminal to provide feedback and assist in making the specific payment process easier. In this case, voice guidance to enhance reassurance and further assistance may be automatically provided.

[0739] After payment is complete, the terminal, based on the emotion engine's evaluation, displays additional reassuring messages to the user, or provides voice messages confirming that no items have been left behind, especially when necessary. As a result, users can complete their shopping in a more relaxed state.

[0740] This system is designed for use in supermarkets and drugstores frequently visited by the elderly, aiming to reduce the burden on both the elderly themselves and store staff while providing a safe and comfortable shopping experience.

[0741] The following describes the processing flow.

[0742] Step 1:

[0743] The device activates its built-in camera and captures the customer's image. This video data is transmitted to the server in real time.

[0744] Step 2:

[0745] The server analyzes the received video data and uses image recognition to determine if the customer is elderly. Based on the determination result, it instructs the terminal to activate slow mode.

[0746] Step 3:

[0747] If the device detects that the user is elderly, it automatically switches the interface to slow mode. This enlarges the text size on the screen and simplifies the operation menu.

[0748] Step 4:

[0749] The server uses an emotion engine to analyze the customer's facial expressions from video data and evaluate their emotional state. This evaluation result is then sent to the terminal.

[0750] Step 5:

[0751] The user scans the barcode of the item they wish to purchase using a barcode reader. The terminal displays the name and price of the scanned item on the screen and provides voice guidance to the user.

[0752] Step 6:

[0753] Based on the results of the emotion engine, if the device is assessed as indicating that the user is experiencing stress, it will initiate additional voice guidance designed to promote relaxation.

[0754] Step 7:

[0755] The user selects a payment method. The terminal displays multiple payment options on the screen and prompts the user with a voice message saying, "Please select a payment method."

[0756] Step 8:

[0757] The server continuously monitors the user's emotional state. During the payment process, if anxiety or hesitation is detected, it instructs the device to provide reassuring voice feedback.

[0758] Step 9:

[0759] Once payment is complete, the terminal will announce via voice, "All procedures are complete. Please remember to take your items with you," and will also display the same message on the screen.

[0760] Step 10:

[0761] The terminal saves all operation logs and prepares for the next customer. It analyzes data to use feedback from the emotion engine's evaluation to improve future services.

[0762] (Example 2)

[0763] 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".

[0764] There is a need for a system that allows elderly users and those with cognitive impairments to complete their shopping with peace of mind, without feeling anxious or confused by the operation of the system. Furthermore, it is necessary to provide appropriate support tailored to the user's situation, such as preventing the loss of purchased items and providing assistance during payment. Conventional systems have struggled to analyze the user's emotional state in real time and provide appropriate guidance based on that analysis.

[0765] 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.

[0766] In this invention, the server includes visual information analysis means, information display control means, and information provision means. This makes it possible to evaluate the emotional state of elderly users or users with cognitive impairments in real time and provide guidance and support that enhances their sense of security based on that evaluation.

[0767] "Visual information analysis means" refers to processing technology that analyzes image information contained in video data to determine whether or not a person is elderly.

[0768] "Information display control means" refers to technology for displaying an appropriate user interface according to the detected state of the user.

[0769] "Information provision means" refers to technologies that provide users with information and guidance on products they are purchasing, using both audio and visual means.

[0770] "Emotional analysis methods" are technologies that analyze a user's facial expressions and tone of voice to evaluate their emotional state in real time.

[0771] "Information transmission means" refers to technologies that provide users with visual and auditory feedback when selecting a payment method.

[0772] This invention incorporates a function that analyzes the emotional state of elderly users and those with cognitive impairments in real time, enabling them to shop with peace of mind in a shopping support system. The system is realized through the cooperation of three elements: a server, a terminal, and the user.

[0773] The server receives video data transmitted from terminals installed within the store. Using this video data, it uses visual information analysis technologies such as OpenCV and TensorFlow to determine whether the user is elderly. If it is determined that the user is elderly, it instructs the terminal to switch to slow-motion mode and control the information display.

[0774] The terminal switches its information display function based on instructions from the server. This provides larger text and simplified operation menus than usual. Furthermore, it uses speech synthesis technology such as Amazon Polly to provide users with voice guidance about the products they are purchasing. It also provides relaxing voice guidance as needed based on the results of emotion analysis from the server.

[0775] Users can smoothly select and pay for products using the voice guidance and visual information provided by the terminal. During payment, the server guides the user through the payment method and provides appropriate assistance according to the user's choices. After payment is complete, the terminal provides a voice message confirming that no items have been left behind, allowing users to complete their shopping with peace of mind.

[0776] One concrete example is a scenario where this system is used in a supermarket frequented by many elderly people. Cameras installed near the checkout counters in the store detect elderly customers, and slow-motion mode is automatically applied. While shopping, the user's facial expressions are analyzed by the camera, and if they appear stressed, a relaxing guide such as "Please take your time" is provided.

[0777] An example of a prompt might be, "Generate an audio guide to reduce stress for elderly people while shopping. The content should cover three points." This would allow the generating AI model to provide an audio guide appropriate to the situation.

[0778] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0779] Step 1:

[0780] The server receives video data transmitted from the terminal. This video data includes the faces and body movements of users inside the store. Using visual information analysis technology, the server determines from this data whether the user is elderly. This process utilizes OpenCV and TensorFlow, and analyzes the input data using image analysis algorithms to output a result indicating whether the user is elderly.

[0781] Step 2:

[0782] If the device is determined to be elderly, the server sends a signal to the terminal to instruct it to activate slow mode. The input is the result of the elderly determination, and the output is the instruction to apply slow mode to the terminal. Specifically, it transfers a configuration profile for slow mode to the terminal and provides commands to adjust the visual and audio information display for elderly users.

[0783] Step 3:

[0784] Upon receiving a slow mode instruction, the terminal activates its information display control mechanism. The terminal displays text using large fonts and a simplified menu screen. At this time, the interface is reconfigured using a GUI library. Based on the instruction received as the entry point, a user-friendly display is output.

[0785] Step 4:

[0786] When a user scans an item, the terminal queries a database to retrieve the item's information. The input is the scanned item code, and the output is the detailed information about that item. Once the terminal has retrieved the item information, it uses speech synthesis software to communicate that information to the user verbally. For example, it might say, "This item costs 500 yen."

[0787] Step 5:

[0788] The server analyzes the user's facial expressions and voice tone in real time using emotion analysis tools. The input is audio and video data transmitted from the terminal, and the output is the user's emotional state. Specifically, the emotion engine evaluates facial features and audio signals and calculates indicators of relaxation and stress.

[0789] Step 6:

[0790] During payment, the terminal displays multiple payment options to the user. Input is the payment guidance procedure from the server, and output is visual and audio guidance on the payment method. Based on the user's selection, the terminal highlights the selected payment method and clearly presents the details of the procedure.

[0791] Step 7:

[0792] After payment is complete, the terminal plays a voice message asking the user, "Have you left anything behind?" as a reminder. This action allows the user to complete their shopping with peace of mind. The input is the payment completion event, and the output is the reminder voice message.

[0793] (Application Example 2)

[0794] 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".

[0795] There is a need to provide a safer and more comfortable shopping experience for the elderly and those with dementia, ensuring they do not experience stress or confusion while shopping. In particular, they are prone to stress from unfamiliar interfaces and payment procedures in stores, so these issues need to be addressed.

[0796] 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.

[0797] In this invention, the server includes image recognition means for detecting elderly people, display control means for automatically activating slow mode for detected elderly people, guidance means for providing information about the products to be purchased via voice and visual means, guidance means for guiding the user to make a payment based on the payment method selected by the user, reminder means for preventing the user from leaving products behind after payment is completed, emotion analysis means for analyzing the user's emotional state from their facial expressions and voice, and support means for providing visual and audio guidance to reduce stress based on the analysis results. This makes it possible for elderly people to shop with peace of mind and complete the payment process without feeling stressed.

[0798] "Image recognition means" refers to a technology that analyzes input video data and detects and identifies objects based on specific conditions.

[0799] "Display control means" refers to a function that switches the interface to an appropriate mode according to the user's needs.

[0800] A "guidance system" is a system that provides information to users through audio and visual means and guides them through the operation of the system.

[0801] "Guidance means" are technologies that assist users in smoothly carrying out the procedures they have selected.

[0802] A "reminder function" is a feature that notifies users so they don't forget important matters.

[0803] "Emotion analysis methods" are technologies that evaluate the user's current emotional state based on data from their facial expressions and voice.

[0804] A "support system" is a system designed to reduce stress by providing appropriate support to users based on analysis results.

[0805] The system implementing this invention provides comprehensive support to enable elderly people and those with dementia to shop with peace of mind.

[0806] The server analyzes video and audio data obtained from smart devices equipped with cameras and microphones to detect elderly individuals. It uses hardware such as smart glasses or smartphone cameras to capture the user's face and analyzes the data using image recognition. This analysis utilizes software such as the OpenCV library and the Google Cloud Vision API.

[0807] If the terminal detects that the user is elderly, it uses display control to switch the interface to slow mode. In this mode, text is displayed in a larger size and the operating procedures are simplified. Information about the products to be purchased is provided through both audio and visual guidance, using IBM Watson Text to Speech. Once a product is scanned, its information is explained to the user verbally.

[0808] The emotion analysis tool, which assesses the user's emotional state, uses the Microsoft Azure Emotion API to analyze the user's facial expressions and tone of voice. If the user is experiencing stress, it provides a relaxing audio guide through support tools. This entire experience allows users to shop without feeling stressed.

[0809] During the payment process, guidance systems provide visual and audio instructions based on the user's chosen payment method. The displayed options and progress are designed to be easily understood by the user.

[0810] To give a specific example, when an elderly person is shopping at a drugstore, smart glasses read their facial expressions, and the system detects that they are having trouble choosing a product. The smart glasses then begin guiding the elderly person with a gentle voice, saying, "This product is on sale today. Is this the right product for you?", supporting them in making a decision with confidence.

[0811] An example of a prompt message is: "A 70-year-old man is shopping at a drugstore. Analyze his emotional state from his facial expressions and voice, and consider how the device can help him if he is feeling stressed."

[0812] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0813] Step 1:

[0814] The user inputs video data through the device's camera. The server receives this video data, performs image recognition using the OpenCV library, and determines whether or not the user is elderly. The output of this step is a flag indicating whether or not the user is elderly.

[0815] Step 2:

[0816] If the server determines that the user is elderly, the terminal activates the display control mechanism and sets the interface to slow mode. At this point, the terminal displays large text and a simplified operation menu on the screen. The output of this step provides visual feedback to the user.

[0817] Step 3:

[0818] The user scans the product. The scanned data is guided by the terminal both audibly and visually. The terminal uses IBM Watson Text to Speech to read the product information aloud. The output of this step is the audible guidance and visual display of the product information.

[0819] Step 4:

[0820] The server uses the Microsoft Azure Emotion API to analyze the user's facial expressions and voice. The input is data of the user's facial expressions and voice, and the output obtained from the analysis is the user's current emotional state. Based on these results, the device provides voice guidance to reduce stress as needed.

[0821] Step 5:

[0822] When a user selects a payment method, the terminal guides them visually and audibly using guidance mechanisms. The input consists of the user's payment options, which the terminal displays clearly and provides audible support. The output is guiding information to assist the user in making their decision.

[0823] Step 6:

[0824] After payment is complete, the terminal uses a reminder mechanism to notify the user not to leave the item behind. In this step, it receives a payment completion signal as input and outputs audio and visual reminders to the user.

[0825] 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.

[0826] 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.

[0827] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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."

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0846] The following is further disclosed regarding the embodiments described above.

[0847] (Claim 1)

[0848] Image recognition means for detecting elderly people,

[0849] A display control means that automatically activates slow mode for detected elderly individuals,

[0850] A guidance system that provides information about the products to be purchased through audio and visual means,

[0851] A means of inducing payment based on the payment method selected by the user,

[0852] A reminder mechanism to prevent misplacing items after payment is completed,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, further comprising means for setting criteria for identifying elderly persons.

[0856] (Claim 3)

[0857] The system according to claim 1, further comprising means for providing visual and audible feedback to the user when selecting a payment method.

[0858] "Example 1"

[0859] (Claim 1)

[0860] A means equipped with an algorithm for analyzing digital images to recognize elderly people,

[0861] A means for automatically converting the user interface to adjust the operating speed for recognized elderly individuals,

[0862] A means of providing information about purchased items using acoustic signals and visual displays,

[0863] A means of supporting the payment process based on the payment method selected by the user,

[0864] A means of issuing a warning after payment is completed to prevent forgetting about purchased items,

[0865] A system that includes this.

[0866] (Claim 2)

[0867] The system according to claim 1, further comprising means for setting criteria for determining the age characteristics of the object to be recognized.

[0868] (Claim 3)

[0869] The system according to claim 1, further comprising means for providing the user with visual and audible feedback when selecting a payment method.

[0870] "Application Example 1"

[0871] (Claim 1)

[0872] Image processing means for identifying elderly people,

[0873] A display adjustment means that automatically activates an adaptive mode for identified elderly individuals,

[0874] A guidance system that provides information about the product being purchased in both audio and visual formats,

[0875] A means of inducing payment based on the payment method selected by the user,

[0876] A notification method to prevent products from being left behind after payment is completed,

[0877] A gaze detection means that tracks the user's gaze and displays product information of interest,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, further comprising means for setting criteria for identifying elderly persons.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising means for providing visual and audible feedback to the user when selecting a payment method.

[0883] "Example 2 of combining an emotion engine"

[0884] (Claim 1)

[0885] A visual information analysis method for detecting elderly people,

[0886] Information display control means that automatically activates slow mode for detected elderly persons,

[0887] Information provision means that guides customers through information about products to be purchased using both audio and visual means,

[0888] A means of sentiment analysis for evaluating the emotional state of a user,

[0889] A means of guiding payment based on the payment method selected by the user,

[0890] A reminder mechanism to prevent misplacing items after payment is completed,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, further comprising means for setting criteria for identifying elderly persons.

[0894] (Claim 3)

[0895] The system according to claim 1, further comprising means for providing visual and audible feedback to the user when selecting a payment method.

[0896] "Application example 2 of combining emotional engines"

[0897] (Claim 1)

[0898] Image recognition means for detecting elderly people,

[0899] A display control means that automatically activates slow mode for detected elderly individuals,

[0900] A guidance system that provides information about the products to be purchased through audio and visual means,

[0901] A means of inducing payment based on the payment method selected by the user,

[0902] A reminder mechanism to prevent misplacing items after payment is completed,

[0903] An emotion analysis method that analyzes the emotional state from the user's facial expressions and voice,

[0904] A support system that provides visual and audio guides for stress reduction based on analysis results,

[0905] A system that includes this.

[0906] (Claim 2)

[0907] The system according to claim 1, further comprising means for setting criteria for identifying elderly persons.

[0908] (Claim 3)

[0909] The system according to claim 1, further comprising means for providing visual and audible feedback to the user when selecting a payment method. [Explanation of Symbols]

[0910] 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. Image recognition means for detecting elderly people, A display control means that automatically activates slow mode for detected elderly individuals, A guidance system that provides information about the products to be purchased through audio and visual means, A means of inducing payment based on the payment method selected by the user, A reminder mechanism to prevent misplacing items after payment is completed, A system that includes this.

2. The system according to claim 1, further comprising means for setting criteria for identifying elderly persons.

3. The system according to claim 1, further comprising means for providing visual and audible feedback to the user when selecting a payment method.

Images