System

Abstract

To provide a system.SOLUTION: A system includes means for: recognizing a learning tool located at a user's hand; recording start time at which the learning tool starts to be used and a progress situation of the learning tool; calculating at least one of the user's progress of study and degree of concentration on the basis of the recorded start time and progress situation; acquiring the user's feeling information by using a feeling engine; acquiring a recommended meal from a database recorded by relating at least one of the progress and degree of concentration of study to a meal on the basis of at least one of the user's calculated progress and degree of concentration of study and the user's feeling information; and displaying the recommended meal by using an AR technology.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including a description and related instruction sentence regarding the 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] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention aims to solve the problem of improving a user's study effectiveness by suggesting appropriate meals based on the user's study progress and concentration level. [Means for solving the problem]

[0005] The present invention solves the above problems by the following means.

[0006] - Understand your progress and concentration by checking the study materials and notes you have at hand.

[0007] -Record the start time and progress of study materials and notes, and calculate study progress and concentration.

[0008] -Get recommended meals from a database based on your study progress and concentration level.

[0009] -Recommended meals are displayed on the smart glasses screen using AR technology.

[0010] Acts as an interactive assistant to respond to users' meal requests and questions.

[0011] "Smart glasses" are glasses-type devices equipped with information processing capabilities, and are capable of recognizing teaching materials and notes and displaying information using AR technology.

[0012] "Study progress and concentration" is an indicator of the user's learning progress and level of concentration, calculated based on information such as the time elapsed since the user started studying materials or taking notes, and the number of pages progressed.

[0013] "Recommended meals" are meals that are expected to improve learning outcomes and are selected from a database based on the user's study progress and level of concentration.

[0014] "AR technology" stands for Augmented Reality technology, which is a technology that visually presents information to users by overlaying digital information on the real-world environment.

[0015] An "interactive assistant" is an artificial intelligence-enabled system or software that responds to user requests and questions and provides information in a conversational manner. [Brief description of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. FIG. [Diagram 3]FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] 4 is a sequence diagram showing a process flow of the data processing system according to the first embodiment. FIG. [Figure 12] 11 is a sequence diagram showing a process flow of the data processing system in application example 1. FIG. [Figure 13] FIG. 11 is a sequence diagram showing the flow of processing of the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 11 is a sequence diagram showing the flow of processing in the data processing system in application example 2 when combined with an emotion engine. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0020] In the following embodiments, a signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a 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.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (e.g., a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0030] 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 of expression that the user 20 can perceive (e.g., voice 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 voice according to instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Fig. 2, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific process program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores a reception output program 60. The reception output program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads out 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 the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] An embodiment for implementing the present invention includes the following elements.

[0038] 1. Smart Glasses:

[0039] It is a device that recognizes teaching materials and notes, has information processing capabilities, and can display information using AR technology. Smart glasses are an example of a "wearable device."

[0040] 2. Terminal:

[0041] It works in conjunction with smart glasses to record the start time and progress of the user's learning materials and notes, and is responsible for communicating with the server.

[0042] 3. Server:

[0043] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0044] 4. Database:

[0045] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0046] 5.AR technology:

[0047] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0048] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0049] The process flow of each embodiment will be described below.

[0050] Step 1: The user views teaching materials and notes through the smart glasses.

[0051] The smart glasses recognize the study materials and notes the user has at hand.

[0052] Step 2: The device records the start time and progress of the user's materials and notes.

[0053] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0054] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0055] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0056] Step 4: The server retrieves from the database recommended meals based on the student's study progress and concentration level.

[0057] The server searches the database for relevant meal information based on the calculated study progress and concentration level. For example, if the study progress is high, a meal that improves concentration may be selected.

[0058] Step 5: The server sends the recommended meals to the device.

[0059] The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake.

[0060] Step 6: The device uses the smart glasses' AR technology to display meal recommendations.

[0061] The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses.

[0062] These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates the progress and concentration of the study, obtains recommended meals, and the device displays them using AR technology.

[0063] Example 1

[0064] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0065] Conventional learning management systems did not adequately suggest appropriate meals according to the user's study progress and concentration level. In addition, they lacked a means to present the user's study status in an easy-to-understand manner by linking it to the real world. This made it difficult for users to continue studying effectively and maintain maximum concentration.

[0066] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0067] In this invention, the server includes a means for recognizing teaching materials or notes, a means for recording a start time and a progress of the teaching materials or notes, a means for calculating a user's progress or concentration on studying based on the recorded start time and progress, a means for acquiring recommended meals based on the calculated progress or concentration on studying of the user, and a means for displaying the recommended meals using augmented reality technology. This makes it possible to suggest appropriate meals based on the user's progress and concentration on studying, and to provide the user with intuitive and visual meal information by using AR technology.

[0068] "Learning materials or notes" refers to all materials such as books, handouts, electronic documents, etc. that a user uses for learning purposes. Learning materials or notes are an example of a "learning tool."

[0069] "Means of recognition" refers to equipment that has the ability to acquire and analyze visual information using input devices such as cameras and sensors.

[0070] "Start time" refers to time information at which the use of the teaching material or notes began.

[0071] "Progress" refers to information such as the degree of progress a user makes as they progress through their studies and the number of pages completed.

[0072] "Means of recording" refers to storage and logging functions for saving acquired data and making it available for later reference.

[0073] "Calculation means" refers to an algorithm or processor that uses collected data to calculate a specific numerical value or indicator (e.g., study progress or concentration).

[0074] A "database" refers to a system that systematically stores and manages large amounts of information and enables specific data to be searched and retrieved as needed.

[0075] "Means for obtaining recommended meals" refers to a system or process for retrieving appropriate meal information from a database based on calculated study progress and concentration.

[0076] "Augmented reality technology" refers to a technology that uses AR (Augmented Reality) technology to overlay digital information on the real world.

[0077] "Means of displaying using AR technology" refers to means of visually presenting virtual information superimposed on the real environment using devices such as smart glasses or headsets.

[0078] An "interactive advisor" refers to an artificial intelligence or dialogue system that responds to a user's questions or requests and provides appropriate responses.

[0079] This system combines smart glasses, terminals, servers, databases, and augmented reality technology (AR technology) to effectively support users' learning activities.

[0080] Hardware and Software Used

[0081] 1. Smart glasses:

[0082] In this system, users use smart glasses to obtain information about teaching materials and notes. The smart glasses are equipped with cameras and sensors and have the ability to recognize the contents of the teaching materials. For example, devices such as "Microsoft (registered trademark) HoloLens (registered trademark)" can be used.

[0083] 2. Terminal:

[0084] The devices include PCs, tablets, and smartphones. These devices have applications installed that receive the data sent from the smart glasses and record the start time and progress. Communication is via Bluetooth, Wi-Fi, etc.

[0085] 3. Server:

[0086] The server functions as a cloud server or a local server, and processes data for calculating the user's learning progress and concentration. For example, a Linux (registered trademark) server, AWS (registered trademark), Google (registered trademark), etc. can be used.

[0087] 4. Database:

[0088] The database accessed from the server holds appropriate meal information according to the student's progress in learning and concentration. MySQL (registered trademark) or PostgreSQL (registered trademark) can be used as the database management system.

[0089] 5. Augmented Reality Technology (AR Technology):

[0090] It is used to visually present dietary information to users through smart glasses or a headset, and can overlay digital data onto the user's field of vision.

[0091] Specific operation of the system

[0092] First, the user puts on the smart glasses, turns them on and opens the textbook. The cover and page contents of the textbook are recognized by the smart glasses' camera, and information such as "Mathematics Chapter 3: Linear Algebra" is visually displayed.

[0093] The device receives data from the smart glasses and records the start time of using the learning materials and the progress. This data is sent to the server at regular intervals. The server analyzes the received information and calculates the user's study progress and concentration level. For example, it can give a result such as "You progressed through 10 pages in one hour. Your concentration level is high."

[0094] Next, the server accesses the database to obtain recommended meals according to the calculated concentration level. For example, "citrus fruit juice" is selected as a "meal recommended for when the concentration level is high."

[0095] Finally, the meal information is sent to the smart glasses and displayed overlaid on the user's field of vision using augmented reality technology. The information "Recommended meal: Citrus fruit juice" is displayed in the user's field of vision, making it easier for the user to understand intuitively.

[0096] Other Examples

[0097] When a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0098] Examples of prompt statements

[0099] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0100] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0101] Step 1:

[0102] The user wears the smart glasses and recognizes the educational material.

[0103] The user puts on the smart glasses and turns them on. This action activates the smart glasses' camera, which captures the study materials and notes in the user's field of view. Specifically, when the user opens a mathematics textbook, the smart glasses' camera recognizes the cover and page contents of the textbook, and obtains information such as "Mathematics Chapter 3: Linear Algebra." The recognized information is processed within the smart glasses, and the contents of the study materials are analyzed.

[0104] Input: Study material or notes

[0105] Output: Information about the recognized material or notes (e.g. "Mathematics Chapter 3: Linear Algebra")

[0106] Step 2:

[0107] The device works in conjunction with smart glasses to receive data and record the start time and progress.

[0108] The device receives data from the smart glasses via Bluetooth or Wi-Fi. The received information includes the content of the learning materials and the time when the user started studying. The device records this information and saves it as a log. For example, the device records the time when the user started studying, and then records the progress as the user advances through the pages.

[0109] Input: Start time and content of the material sent from the smart glasses

[0110] Output: Start time and progress log

[0111] Step 3:

[0112] The device sends the recorded data to the server

[0113] At regular intervals, the device sends the recorded start time and progress data to the server. Communication is via the Internet. The sent data is stored in the server's database. For example, data such as "Start time: 10:00, Progress: 5 pages progressed" is sent to the server every hour.

[0114] Input: Data recorded on the terminal

[0115] Output: Data sent to the server

[0116] Step 4:

[0117] The server calculates the user's progress and concentration in studying.

[0118] The server calculates the user's study progress and concentration level based on the received data. Progress is calculated based on the elapsed time and the number of pages progressed, and concentration level is evaluated using an algorithm that corresponds to that. For example, it analyzes "start time: 10:00, current time: 11:00, progress: 10 pages" and determines that "the user's concentration level is high."

[0119] Input: Start time and progress data sent to the server

[0120] Output: Evaluation results of the user's study progress and concentration

[0121] Step 5:

[0122] The server selects recommended meals from the database.

[0123] The server then uses the calculated progress and concentration level to determine the optimal meal recommendation from the food information in the database. For example, if the concentration level is high, a relaxing citrus fruit juice is recommended.

[0124] Input: User's study progress and concentration evaluation results

[0125] Output: Meal recommendations retrieved from the database

[0126] Step 6:

[0127] Smart glasses use AR technology to display meal recommendations

[0128] The recommended food information sent from the server is forwarded to the smart glasses. The smart glasses receive this information and use AR technology to display it as digital information in the user's field of vision. The information "Recommended food: Citrus fruit juice" appears in the user's field of vision.

[0129] Input: Recommended meal information sent from the server

[0130] Output: Display of recommended meal information using AR technology

[0131] Other Examples

[0132] For example, if a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0133] Examples of prompt statements

[0134] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0135] (Application example 1)

[0136] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0137] Conventional study support systems and purchasing support systems have difficulty in providing appropriate meal and purchasing suggestions in real time according to the user's study progress and concentration level, and are particularly lacking in visual support using AR technology. This makes it difficult for users to maximize their study efficiency and select optimal products. Therefore, the present invention aims to provide a system that provides integrated study support and purchasing support for users, thereby improving the user's lifestyle.

[0138] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0139] In this invention, the server includes a means for recognizing the teaching materials or notebooks held by the user, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's progress or concentration in studying based on the recorded start time and progress, a means for acquiring recommended meals from a database that records the progress or concentration in studying and meals in association with each other based on the calculated progress or concentration in studying, a means for displaying the recommended meals using AR technology, a means for recognizing products in the user's field of view and acquiring detailed information about the products, a means for generating optimal purchase suggestions based on past purchase history and preference information, and a means for displaying the optimal purchase suggestions using AR technology. This allows the user to continue studying efficiently while receiving optimal meal and product purchase suggestions.

[0140] "User" refers to an individual who uses the system to study through learning materials and notes.

[0141] "Teaching materials" refers to study materials such as textbooks and reference books used by users for studying.

[0142] A "notebook" refers to a notepad or writing implement that a user uses when studying.

[0143] "Start time" refers to the time when the user begins using the teaching materials or notes.

[0144] "Progress" refers to how far a user has progressed with respect to study materials or notes, or how far along the learning process is.

[0145] "Study progress" refers to information indicating how much progress the user has made in the course of studying.

[0146] "Level of concentration" refers to the degree to which the user is concentrating on studying.

[0147] The term "database" refers to a collection of information that holds information regarding a user's learning progress and concentration level, as well as optimal dietary information corresponding thereto.

[0148] "Recommended meals" refers to suggestions for nutritionally balanced meals selected based on the user's study progress and level of concentration.

[0149] "AR technology" stands for augmented reality technology, and refers to the technology that overlays digital information on the actual field of vision.

[0150] A "product" refers to a purchase object that is visually recognized by a user.

[0151] "Purchase suggestions" refer to optimal purchasing options provided based on a user's past purchasing history and preference information.

[0152] A "cloud server" refers to a group of remote servers that host data and applications over the Internet.

[0153] In this invention, a system is realized that utilizes smart glasses, a terminal, a server, and a database to manage a user's study progress and provide optimal meal and purchase suggestions. The system is implemented as follows.

[0154] The smart glasses are equipped with a camera module and AR technology, and an appropriate device such as Microsoft HoloLens is used. The camera module can scan the teaching materials and notes used by the user to obtain related information. The start time of use and progress are recorded on a terminal (such as a smartphone) linked to the smart glasses.

[0155] The device transmits the obtained information of study materials and notes to a cloud server. The cloud server calculates the user's study progress and concentration level using a remote service such as a web application development platform or cloud computing service. Based on the calculation result, it retrieves optimal meal information from a MySQL database or a similar database and notifies the user.

[0156] Users can also use the smart glasses to recognize products in their field of vision and obtain detailed information. After scanning a product, the cloud server will generate optimal purchasing suggestions based on past purchase history and preference information. This allows users to receive visual suggestions in real time through AR technology.

[0157] For example, if a user feels hungry while studying, the smart glasses will show them the best meal to eat.Similarly, when a user is looking to buy something at a shopping mall, the smart glasses will show them detailed information about the product and the best purchase suggestions.

[0158] This allows users to study efficiently while quickly receiving the information and suggestions they need, improving their quality of life.

[0159] Examples of prompt statements

[0160] "Make the best purchase suggestions from scanned products based on your past purchase history and reviews."

[0161] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0162] Step 1:

[0163] A user puts on the smart glasses and opens a teaching material or a notebook. The camera module of the smart glasses scans the teaching material or notebook and captures the image data.

[0164] Input: The study material or notes that are in the user's field of view

[0165] Output: Scanned image data

[0166] How it works: The camera in the smart glasses captures the learning material in the user's field of vision, and an image recognition algorithm analyzes it.

[0167] Step 2:

[0168] The device receives the scanned image data and records the time when the teaching materials and notes were used. The device then transmits this data to a cloud server.

[0169] Input: Scanned image data, start time of use

[0170] Output: Data sent to the cloud server

[0171] Specific operation: The application on the terminal receives image data and start time information from the smart glasses and transmits them to a cloud server via the Internet.

[0172] Step 3:

[0173] The server analyzes the received image data to identify the progress of the learning material. Based on the start time and progress, the server calculates the user's study progress and concentration.

[0174] Input: Start time, progress data

[0175] Output: Study progress and concentration

[0176] Specific operation: A program on the server uses an image analysis algorithm to identify the progress of the learning material and calculates progress and concentration by comparing it with the start time.

[0177] Step 4:

[0178] The server retrieves appropriate meal information from the database based on the study progress and concentration data. After retrieving the meal information, it is sent to the terminal.

[0179] Input: Study progress and concentration data

[0180] Output: Meal information

[0181] Specific operation: Based on the progress and concentration of studies, the server executes a database query to obtain optimal meal information and sends it to the terminal.

[0182] Step 5:

[0183] The device receives the meal information from the server and transfers it to the smart glasses, where the meal information is displayed in the user's field of vision using AR technology.

[0184] Input: Meal information

[0185] Output: Meal information displayed in AR

[0186] Specific operation: The terminal application sends the received meal information to the smart glasses and displays the meal information overlaid on the glasses' display using AR.

[0187] Step 6:

[0188] The user views the product through the smart glasses and scans the product with the camera module.

[0189] Input:Product

[0190] Output: Scanned product data

[0191] Specific operation: The user scans products in view with the camera on the smart glasses and obtains product data.

[0192] Step 7:

[0193] The terminal receives the scanned product data and transmits it to a cloud server.

[0194] Input: Scanned product data

[0195] Output: Data sent to the cloud server

[0196] Specific operation: The terminal receives product data from the smart glasses and sends it to the cloud server.

[0197] Step 8:

[0198] The server analyzes the received product data and generates optimal purchasing suggestions based on past purchase history and preference information.

[0199] Input: Product data, past purchase history, preference information

[0200] Output: Purchase proposal

[0201] Specific operation: The server analyzes product data, extracts past purchase history and preference information from a database, and generates optimal purchasing suggestions based on this.

[0202] Step 9:

[0203] The server generates purchase suggestions and sends them to the terminal, which then transmits them to the smart glasses. The purchase suggestions are displayed in the user's field of vision using AR technology.

[0204] Input: Purchase Proposal

[0205] Output: Purchase suggestions displayed in AR

[0206] Specific operation: The terminal sends the purchasing suggestions received to the smart glasses, which then overlay the purchasing suggestions on the glasses' display using AR.

[0207] Furthermore, an emotion engine that estimates the emotion of the user may be combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0208] An embodiment for implementing the present invention includes the following elements. 1. Smart Glasses: It is a device that allows users to view teaching materials and notes, has information processing capabilities, and can display information using AR technology. 2. Terminal: It works in conjunction with smart glasses to record the start time and progress of the user's learning materials and notes, and is responsible for communicating with the server. 3. Server: The system receives the user's progress in studying materials and notes, calculates the user's progress and concentration, and obtains recommended meals from a database. It also combines an emotion engine that recognizes the user's emotions to obtain emotional information and make meal suggestions taking that information into account. 4. Database: The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals. 5. Emotion Engine: This is an engine for recognizing the user's emotions, and obtains emotional information from the user's facial expressions, tone of voice, etc. 6.AR technology: It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment. By combining these elements, it is possible to realize a system that can obtain the user's progress in studying materials and notes, as well as emotional information, and make more appropriate meal suggestions based on the user's study progress, level of concentration, and emotions.

[0209] The process flow of each embodiment will be described below.

[0210] Step 1: The user views teaching materials and notes through the smart glasses. Users wear smart glasses and can view study materials and notes at their fingertips. Step 2: The device records the start time and progress of the user's materials and notes. The device records information such as the time when the user started working on the material or taking notes, the time elapsed, and the number of pages reached. Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration. The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information. Step 4: The server obtains the user's emotion information using the emotion engine. The server combines an emotion engine to obtain the user's emotion information, recognizing emotions from the user's facial expressions and tone of voice, and using them for subsequent processing. Step 5: The server obtains meal recommendations based on study progress, concentration level, and emotional information. The server searches the database for relevant meal information based on the calculated study progress, concentration level, and emotional information. If the study progress is high and positive emotions are recognized, a meal that increases energy may be selected. Step 6: The server sends the recommended food information to the terminal. The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake. Step 7: The device uses the smart glasses' AR technology to display meal recommendations. The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses. These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates study progress, concentration level, and emotional information, obtains recommended meals, and the device displays them using AR technology.

[0211] Example 2

[0212] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0213] Conventional systems have difficulty in accurately grasping the user's progress and concentration in studying, and are unable to provide appropriate meal suggestions that take into account the user's feelings during the study process. Furthermore, there is a lack of means to effectively display the acquired meal information to the user, so a system that supports the user's study efficiency and health management is desired.

[0214] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user and the user's emotional information, a means for displaying the recommended meals using AR technology, and a means for using an emotion engine that acquires the user's emotional information. This makes it possible to accurately grasp the user's study progress and concentration level and to propose appropriate meals that take into account the user's emotional state. In addition, by visually presenting the acquired meal information to the user, the user's study efficiency can be improved and health management can be supported.

[0215] A "user" is someone who uses this system to view teaching materials and notes and study.

[0216] "Teaching materials" or "notes" is a general term for books, writing paper, digital texts, etc. that users use for studying.

[0217] "Means of recognition" refers to technology that uses a device such as smart glasses to visually identify teaching materials and notes held by the user and acquire that data.

[0218] "Start time" refers to the time when the user starts using the teaching material or the notes.

[0219] "Progress" is information indicating how far the user has progressed through the learning material or notes, and includes, for example, the number of pages progressed and the elapsed time.

[0220] "Means for recording" refers to technology or devices that record the time when the user started studying and their progress as a log.

[0221] The "means for calculating" refers to an algorithm or processing system for calculating the user's study progress and concentration level based on the recorded data.

[0222] "Emotion information" is data that indicates the user's emotional state as recognized from their facial expressions and tone of voice.

[0223] An "emotion engine" is software or a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0224] The "database" is a data storage system that records recommended meal information according to study progress and concentration level, and makes this information searchable and acquirable.

[0225] "Recommended meals" refers to meal menus suggested based on the user's study progress, concentration level, and emotional state.

[0226] "AR technology" is a technology that overlays digital information onto the real world, and is a means of visually presenting food information through smart glasses.

[0227] "Means of acquisition" refers to technology or programs for searching and retrieving the necessary information from the database.

[0228] As an embodiment of the present invention, a system is constructed that combines the following elements to provide appropriate meal suggestions based on a user's study progress and concentration level.

[0229] 1. Hardware and Software Used

[0230] Smart glasses: A device that allows users to view study materials and notes, and displays information using AR technology. It has information processing capabilities, a camera, and a display.

[0231] Terminal: Works with smart glasses to record the start time and progress of the user's learning materials and notes, and communicates with the server. This can be a smartphone or tablet.

[0232] Server: A device that calculates study progress and concentration, and makes meal suggestions based on emotional information. It also handles database access.

[0233] Database: A database that holds recommended meal information based on study progress and concentration level.

[0234] Emotion engine: An engine for recognizing user emotions. Software that obtains emotional information from the user's facial expressions, tone of voice, etc.

[0235] 2. Program Processing

[0236] The device receives data from the smart glasses and records the user's study start time and progress. This information is sent to the server, which calculates the user's study progress and concentration level based on the data. In addition, the emotion engine is used to obtain the user's emotion information.

[0237] The server retrieves appropriate meal suggestions from the database based on the progress data and emotion information. The smart glasses visually present the meal information received from the server to the user using AR technology.

[0238] 3. Specific Examples

[0239] Example 1: A student is studying at home

[0240] A student (user) is wearing smart glasses and solving a math problem set. The device works with the smart glasses to record the start time of studying and the progress. This data is sent to the server. The server checks that the student is making good progress and concentrating, and detects satisfaction from the student's facial expression using an emotion engine. Based on this information, the server retrieves healthy snack recommendations (e.g., nuts and yogurt) from the database and displays them to the student through the smart glasses.

[0241] Example 2: When a student is studying in a library

[0242] A student (user) is reading a chemistry textbook using smart glasses. The device sends the start time and progress of studying to the server. The server then detects that progress is slow and uses an emotion engine to confirm that the student is feeling tired or stressed. Based on this, it retrieves recommendations from the database for foods that have a relaxing effect (e.g., bananas and chocolate) and visually presents them through the smart glasses.

[0243] 4. Examples of prompts

[0244] "Record students as they use smart glasses to solve math problems, then analyze their progress and emotions to recommend healthy snacks."

[0245] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0246] Step 1: Power up the smart glasses and have the user put them on

[0247] The user activates and wears the smart glasses. The smart glasses activate the camera and turn on the display. Once the smart glasses are ready, they start capturing the user's viewing environment in real time. Inputs include the user's action (putting on the glasses) and the device state (activation). The output is a signal that activation is complete.

[0248] Step 2: Start viewing the materials / notes

[0249] The user opens a learning material or a note and starts viewing it. The smart glasses capture live video through the camera and analyze it to recognize which learning material or page the user is viewing. The input includes visual data (camera video) and the output is the start time of the recognized learning material / note.

[0250] Step 3: Record your start time and progress

[0251] The terminal receives the data sent from the smart glasses and records the start time of studying. It also continuously logs the progress such as page number and answer time every time the user turns a page. The input includes the start time and progress (page number, answer time), and the output is the recorded log data.

[0252] Step 4: Sending information to the server

[0253] The terminal periodically transmits the recorded data to the server in the form of packets. This data includes the start time, progress, and log information. The input includes the log data, and the output is a transmission completion notification to the server.

[0254] Step 5: Calculating your study progress and concentration

[0255] The server analyzes the received data and uses a specific algorithm to calculate the user's progress and concentration in studying. For example, the progress is evaluated based on the page turning speed, answering speed, etc. The input includes the start time, progress data, and log information, and the output is the calculated evaluation result of the progress and concentration in studying.

[0256] Step 6: Obtaining emotion information

[0257] The server obtains the user's emotional information using an emotion engine. The emotion engine analyzes the user's facial expressions and tone of voice captured by the smart glasses. The input includes visual and audio data, and the output is the analyzed emotional information.

[0258] Step 7: Get food recommendations

[0259] The server queries the database based on study progress, concentration, and emotional information to obtain appropriate meal suggestions. The database stores meal information according to rules such as "light meals when concentration is high, and nutritious meals when concentration is low." The input includes the progress and concentration evaluation results and emotional information, and the output is recommended meal information.

[0260] Step 8: View your meal information

[0261] The server transmits the acquired meal information to the smart glasses, which receive it and display the meal information in the user's field of view using AR technology. The input includes the meal information, and the output is the meal information displayed in the user's field of view.

[0262] Explanation including specific actions

[0263] By showing in detail how the terminal, server, and user interact with each other and how data flows at each step, the operation of the entire system can be understood in detail.

[0264] (Application example 2)

[0265] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0266] Conventional study support systems have difficulty in making appropriate meal suggestions based on the user's study progress and concentration level, which reduces the sustained effect of studying. In addition, there is also a problem that the user's satisfaction is low because the system makes uniform meal suggestions without considering the user's feelings. For this reason, there is a demand for a system that can maximize the user's study efficiency and suggest healthy meals at the right time.

[0267] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user, a means for displaying the recommended meals using AR technology, a means including an emotion engine that recognizes the user's emotions, and a means for suggesting meals based on the emotion information. This makes it possible to make appropriate and individualized meal suggestions according to the user's study progress and emotional state.

[0268] "Teaching materials or notes" refers to physical study materials, such as books, documents, or notebooks, that a user uses in a study activity.

[0269] "Start time" refers to the time when the study material or notes begin to be used for studying.

[0270] "Progress" is information that indicates the progress of a user's learning in the teaching materials or notebooks they are using, and specifically includes the elapsed time, the number of pages progressed, and the like.

[0271] "Study progress or concentration" indicates the progress of the user's learning activities and the degree of concentration on learning, and is an index calculated based on the start time and progress status.

[0272] "Database" refers to an information management system that accumulates recorded data correlating study progress or concentration with meals.

[0273] "Recommended meals" refers to optimal meals selected based on a database, taking into consideration the user's study progress, concentration level, and emotional information.

[0274] "AR technology" refers to a technology that presents information visually to users by overlaying digital information onto a real-world environment.

[0275] An "emotion engine" refers to a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0276] The "means for making meal suggestions" refers to a system having a function for suggesting optimal meals to a user based on emotional information and study progress or concentration level.

[0277] This invention provides a system that recognizes study materials or notes held by a user, calculates the progress and concentration of the user's studies, and uses AR technology to suggest appropriate meals. A specific embodiment for implementing this system is described below.

[0278] Hardware Configuration

[0279] 1. Smart glasses: A device that allows users to view study materials and notes and monitor their progress in real time. It also has the ability to display meal recommendations using AR technology.

[0280] 2. Terminal: A portable device that works in conjunction with the smart glasses to record the user's learning materials, notes, start time, progress, and communicate with the server.

[0281] 3. Server: A central processing unit that suggests optimal meals based on study progress, concentration, and emotional information.

[0282] 4. Database: Stores recorded information relating study progress and concentration to meals.

[0283] 5. Emotion engine: A software engine that acquires and analyzes the user's emotional information.

[0284] Software Configuration

[0285] 1. Recording study progress and concentration: Using smart glasses and a terminal, the start time and progress are recorded and sent to a server.

[0286] 2. Analysis of study progress and emotion: The server analyzes the received study progress and emotion information and calculates the user's current concentration level.

[0287] 3. Meal Suggestion: The server retrieves meal recommendations from the database based on study progress, concentration level and emotion information, and sends them to the smart glasses.

[0288] 4. AR display: The smart glasses visually display the acquired food information using AR technology.

[0289] 5. Order Food: Users can order suggested meals for delivery through the smart glasses.

[0290] Examples

[0291] For example, let's imagine a situation where a university student is studying. The smart glasses monitor the start time and progress of studying in real time and send it to the server via the terminal. The server calculates the concentration level based on that, and furthermore, obtains emotional information from the user's facial expressions and voice using an emotion engine.

[0292] The server comprehensively analyzes this information, and if it determines that the user is tired, it retrieves from the database recommended meals such as a "refreshing fruit smoothie" or a "nutritious salad."

[0293] The smart glasses then use AR technology to display these recommended meals in the user's field of view, allowing the user to easily order meals for delivery through their device.

[0294] Examples of prompt statements

[0295] "Provide real-time healthy meal recommendations based on the user's study progress and sentiment data."

[0296] This format makes it possible to improve the user's study efficiency and suggest healthy meals at appropriate times.

[0297] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0298] Step 1:

[0299] The smart glasses recognize the learning materials or notes held by the user. The smart glasses use a camera to capture visual information of the learning materials or notes. This information is sent to the terminal, where the learning materials or notes are identified by a recognition algorithm. The input is the visual information, and the output is the recognition result of the learning materials or notes.

[0300] Step 2:

[0301] The start time of the recognized teaching material or note is recorded. The terminal records the current time based on this information and sets it as the start time. The input is the recognition result and the current time, and the output is the start time.

[0302] Step 3:

[0303] Recording progress. The smart glasses monitor how the user views the learning materials and notes, and send the page number and learning progress to the terminal. The terminal records this and saves it as progress data. The input is the user's learning activity data, and the output is progress data.

[0304] Step 4:

[0305] Calculates the user's study progress or concentration. The server calculates the degree of study progress and concentration based on the start time and progress data sent from the terminal. For example, the number of pages progressed and the level of understanding of the study content are used as evaluation indicators. The input is the start time and progress data, and the output is study progress or concentration data.

[0306] Step 5:

[0307] Acquire emotional information. The device collects the user's facial expressions and tone of voice using the camera and microphone of the smart glasses and sends them to the emotion engine. The emotion engine analyzes this data and recognizes the user's emotional state. The input is facial expression and voice data, and the output is emotional information.

[0308] Step 6:

[0309] Obtain recommended meals. The server searches the database based on study progress or concentration data and emotion information, and selects the most suitable meal for the user. The input is study progress or concentration data and emotion information, and the output is recommended meal information.

[0310] Step 7:

[0311] Recommended meals are displayed using AR technology. The smart glasses display recommended meal information as digital information overlaid on the user's field of view based on the recommended meal information sent from the server. The input is the recommended meal information, and the output is the AR meal information displayed in the field of view.

[0312] Step 8:

[0313] Ordering a meal. The user selects from the recommended meals presented through the smart glasses and places an order with the delivery service through the terminal. The input is the user's selection data, and the output is order confirmation information.

[0314] Example: If a user is studying for an exam at university, the process from step 1 to step 5 recognizes the user's progress in studying and the emotion of "fatigue." The server selects "an energy cereal bar" and "a refreshing herbal tea" in step 6 and displays them in AR in step 7. The user can select these items in step 8 and place a delivery order.

[0315] In this way, through a series of processing steps, a system is realized that takes into account the user's learning situation and emotions and makes optimal meal suggestions in real time.

[0316] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the 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 voice data.

[0317] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the 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">) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0318] In the above embodiment, an example has been given in which the specific process is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0319] [Second embodiment]

[0320] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0321] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0322] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0323] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0324] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0325] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0326] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0327] Fig. 4 shows an example of main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0328] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0329] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0330] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0331] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0332] An embodiment for implementing the present invention includes the following elements.

[0333] 1. Terminal:

[0334] It is a device for recognizing teaching materials and notes, has information processing capabilities, and can display information using AR technology. It records the start time and progress of the user's teaching materials and notes, and is responsible for communicating with the server.

[0335] 2. Server:

[0336] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0337] 3. Database:

[0338] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0339] 4.AR technology:

[0340] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0341] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0342] The process flow will be explained below.

[0343] Step 1: The user views teaching materials and notes through the device.

[0344] The device recognizes the study materials and notes the user has at hand.

[0345] Step 2: The device records the start time and progress of the user's materials and notes.

[0346] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0347] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0348] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0349] Step 4: The server retrieves from the database recommended meals based on the student's study progress and concentration level.

[0350] The server searches the database for relevant meal information based on the calculated study progress and concentration level. For example, if the study progress is high, a meal that improves concentration may be selected.

[0351] Step 5: The server sends the recommended meals to the device.

[0352] The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake.

[0353] Step 6: The device uses the smart glasses' AR technology to display meal recommendations.

[0354] The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses.

[0355] These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates the progress and concentration of the study, obtains recommended meals, and the device displays them using AR technology.

[0356] Example 1

[0357] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0358] Conventional learning management systems did not adequately suggest appropriate meals according to the user's study progress and concentration level. In addition, they lacked a means to present the user's study status in an easy-to-understand manner by linking it to the real world. This made it difficult for users to continue studying effectively and maintain maximum concentration.

[0359] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0360] In this invention, the server includes a means for recognizing teaching materials or notes, a means for recording a start time and a progress of the teaching materials or notes, a means for calculating a user's progress or concentration on studying based on the recorded start time and progress, a means for acquiring recommended meals based on the calculated progress or concentration on studying of the user, and a means for displaying the recommended meals using augmented reality technology. This makes it possible to suggest appropriate meals based on the user's progress and concentration on studying, and to provide the user with intuitive and visual meal information by using AR technology.

[0361] "Teaching materials or notes" refers to all materials such as books, handouts, electronic documents, etc. that a user uses for study purposes.

[0362] "Means of recognition" refers to equipment that has the ability to acquire and analyze visual information using input devices such as cameras and sensors.

[0363] "Start time" refers to time information at which the use of the teaching material or notes began.

[0364] "Progress" refers to information such as the degree of progress a user makes as they progress through their studies and the number of pages completed.

[0365] "Means of recording" refers to storage and logging functions for saving acquired data and making it available for later reference.

[0366] "Calculation means" refers to an algorithm or processor that uses collected data to calculate a specific numerical value or indicator (e.g., study progress or concentration).

[0367] A "database" refers to a system that systematically stores and manages large amounts of information and enables specific data to be searched and retrieved as needed.

[0368] "Means for obtaining recommended meals" refers to a system or process for retrieving appropriate meal information from a database based on calculated study progress and concentration.

[0369] "Augmented reality technology" refers to a technology that uses AR (Augmented Reality) technology to overlay digital information on the real world.

[0370] "Means of displaying using AR technology" refers to means of visually presenting virtual information superimposed on the real environment using devices such as smart glasses or headsets.

[0371] An "interactive advisor" refers to an artificial intelligence or dialogue system that responds to a user's questions or requests and provides appropriate responses.

[0372] This system combines smart glasses, terminals, servers, databases, and augmented reality technology (AR technology) to effectively support users' learning activities.

[0373] Hardware and Software Used

[0374] 1. Smart glasses:

[0375] In this system, users use smart glasses to obtain information about teaching materials and notes. The smart glasses are equipped with cameras and sensors and have the ability to recognize the content of teaching materials. For example, devices such as "Microsoft HoloLens" can be used.

[0376] 2. Terminal:

[0377] The devices include PCs, tablets, and smartphones. These devices have applications installed that receive the data sent from the smart glasses and record the start time and progress. Communication is via Bluetooth, Wi-Fi, etc.

[0378] 3. Server:

[0379] The server functions as a cloud server or a local server and processes data to calculate the user's learning progress and concentration. For example, a Linux server, AWS, Google Cloud, etc. can be used.

[0380] 4. Database:

[0381] The database accessed from the server stores appropriate meal information according to the student's progress in learning and concentration. MySQL, PostgreSQL, or other database management systems can be used.

[0382] 5. Augmented Reality Technology (AR Technology):

[0383] It is used to visually present dietary information to users through smart glasses or a headset, and can overlay digital data onto the user's field of vision.

[0384] Specific operation of the system

[0385] First, the user puts on the smart glasses, turns them on and opens the textbook. The cover and page contents of the textbook are recognized by the smart glasses' camera, and information such as "Mathematics Chapter 3: Linear Algebra" is visually displayed.

[0386] The device receives data from the smart glasses and records the start time of using the learning materials and the progress. This data is sent to the server at regular intervals. The server analyzes the received information and calculates the user's study progress and concentration level. For example, it can give a result such as "You progressed through 10 pages in one hour. Your concentration level is high."

[0387] Next, the server accesses the database to obtain recommended meals according to the calculated concentration level. For example, "citrus fruit juice" is selected as a "meal recommended for when the concentration level is high."

[0388] Finally, the meal information is sent to the smart glasses and displayed overlaid on the user's field of vision using augmented reality technology. The information "Recommended meal: Citrus fruit juice" is displayed in the user's field of vision, making it easier for the user to understand intuitively.

[0389] Other Examples

[0390] When a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0391] Examples of prompt statements

[0392] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0393] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0394] Step 1:

[0395] The user wears the smart glasses and recognizes the educational material.

[0396] The user puts on the smart glasses and turns them on. This action activates the smart glasses' camera, which captures the study materials and notes in the user's field of view. Specifically, when the user opens a mathematics textbook, the smart glasses' camera recognizes the cover and page contents of the textbook, and obtains information such as "Mathematics Chapter 3: Linear Algebra." The recognized information is processed within the smart glasses, and the contents of the study materials are analyzed.

[0397] Input: Study material or notes

[0398] Output: Information about the recognized material or notes (e.g. "Mathematics Chapter 3: Linear Algebra")

[0399] Step 2:

[0400] The device works in conjunction with smart glasses to receive data and record the start time and progress.

[0401] The device receives data from the smart glasses via Bluetooth or Wi-Fi. The received information includes the content of the learning materials and the time when the user started studying. The device records this information and saves it as a log. For example, the device records the time when the user started studying, and then records the progress as the user advances through the pages.

[0402] Input: Start time and content of the material sent from the smart glasses

[0403] Output: Start time and progress log

[0404] Step 3:

[0405] The device sends the recorded data to the server

[0406] At regular intervals, the device sends the recorded start time and progress data to the server. Communication is via the Internet. The sent data is stored in the server's database. For example, data such as "Start time: 10:00, Progress: 5 pages progressed" is sent to the server every hour.

[0407] Input: Data recorded on the terminal

[0408] Output: Data sent to the server

[0409] Step 4:

[0410] The server calculates the user's progress and concentration in studying.

[0411] The server calculates the user's study progress and concentration level based on the received data. Progress is calculated based on the elapsed time and the number of pages progressed, and concentration level is evaluated using an algorithm that corresponds to that. For example, it analyzes "start time: 10:00, current time: 11:00, progress: 10 pages" and determines that "the user's concentration level is high."

[0412] Input: Start time and progress data sent to the server

[0413] Output: Evaluation results of the user's study progress and concentration

[0414] Step 5:

[0415] The server selects recommended meals from the database.

[0416] The server then uses the calculated progress and concentration level to determine the optimal meal recommendation from the food information in the database. For example, if the concentration level is high, a relaxing citrus fruit juice is recommended.

[0417] Input: User's study progress and concentration evaluation results

[0418] Output: Meal recommendations retrieved from the database

[0419] Step 6:

[0420] Smart glasses use AR technology to display meal recommendations

[0421] The recommended food information sent from the server is transferred to the smart glasses. The smart glasses receive this information and use AR technology to display it as digital information in the user's field of vision. The information "Recommended food: Citrus fruit juice" appears in the user's field of vision.

[0422] Input: Recommended meal information sent from the server

[0423] Output: Display of recommended meal information using AR technology

[0424] Other Examples

[0425] For example, if a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0426] Examples of prompt statements

[0427] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0428] (Application example 1)

[0429] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0430] Conventional study support systems and purchasing support systems have difficulty in providing appropriate meal and purchasing suggestions in real time according to the user's study progress and concentration level, and are particularly lacking in visual support using AR technology. This makes it difficult for users to maximize their study efficiency and select optimal products. Therefore, the present invention aims to provide a system that provides integrated study support and purchasing support for users, thereby improving the user's lifestyle.

[0431] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0432] In this invention, the server includes a means for recognizing the teaching materials or notebooks held by the user, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's progress or concentration in studying based on the recorded start time and progress, a means for acquiring recommended meals from a database that records the progress or concentration in studying and meals in association with each other based on the calculated progress or concentration in studying, a means for displaying the recommended meals using AR technology, a means for recognizing products in the user's field of view and acquiring detailed information about the products, a means for generating optimal purchase suggestions based on past purchase history and preference information, and a means for displaying the optimal purchase suggestions using AR technology. This allows the user to continue studying efficiently while receiving optimal meal and product purchase suggestions.

[0433] "User" refers to an individual who uses the system to study through learning materials and notes.

[0434] "Teaching materials" refers to study materials such as textbooks and reference books used by users for studying.

[0435] A "notebook" refers to a notepad or writing implement that a user uses when studying.

[0436] "Start time" refers to the time when the user begins using the teaching materials or notes.

[0437] "Progress" refers to how far a user has progressed with respect to study materials or notes, or how far along the learning process is.

[0438] "Study progress" refers to information indicating how much progress the user has made in the course of studying.

[0439] "Level of concentration" refers to the degree to which the user is concentrating on studying.

[0440] The term "database" refers to a collection of information that holds information regarding a user's learning progress and concentration level, as well as optimal dietary information corresponding thereto.

[0441] "Recommended meals" refers to suggestions for nutritionally balanced meals selected based on the user's study progress and level of concentration.

[0442] "AR technology" stands for augmented reality technology, and refers to the technology that overlays digital information on the actual field of vision.

[0443] A "product" refers to a purchase object that is visually recognized by a user.

[0444] "Purchase suggestions" refer to optimal purchasing options provided based on a user's past purchasing history and preference information.

[0445] A "cloud server" refers to a group of remote servers that host data and applications over the Internet.

[0446] In this invention, a system is realized that utilizes smart glasses, a terminal, a server, and a database to manage a user's study progress and provide optimal meal and purchase suggestions. The system is implemented as follows.

[0447] The smart glasses are equipped with a camera module and AR technology, and an appropriate device such as Microsoft HoloLens 2 is used. The camera module can scan the teaching materials and notes used by the user to obtain related information. The start time of use and progress are recorded on a terminal (such as a smartphone) linked to the smart glasses.

[0448] The device transmits the obtained information of study materials and notes to a cloud server. The cloud server calculates the user's study progress and concentration level using a remote service such as a web application development platform or cloud computing service. Based on the calculation result, it retrieves optimal meal information from a MySQL database or a similar database and notifies the user.

[0449] Users can also use the smart glasses to recognize products in their field of vision and obtain detailed information. After scanning a product, the cloud server will generate optimal purchasing suggestions based on past purchase history and preference information. This allows users to receive visual suggestions in real time through AR technology.

[0450] For example, if a user feels hungry while studying, the smart glasses will show them the best meal to eat.Similarly, when a user is looking to buy something at a shopping mall, the smart glasses will show them detailed information about the product and the best purchase suggestions.

[0451] This allows users to study efficiently while quickly receiving the information and suggestions they need, improving their quality of life.

[0452] Examples of prompt statements

[0453] "Make the best purchase suggestions from scanned products based on your past purchase history and reviews."

[0454] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0455] Step 1:

[0456] A user puts on the smart glasses and opens a teaching material or a notebook. The camera module of the smart glasses scans the teaching material or notebook and captures the image data.

[0457] Input: The study material or notes that are in the user's field of view

[0458] Output: Scanned image data

[0459] How it works: The camera in the smart glasses captures the learning material in the user's field of vision, and an image recognition algorithm analyzes it.

[0460] Step 2:

[0461] The device receives the scanned image data and records the time when the teaching materials and notes were used. The device then transmits this data to a cloud server.

[0462] Input: Scanned image data, start time of use

[0463] Output: Data sent to the cloud server

[0464] Specific operation: The application on the terminal receives image data and start time information from the smart glasses and transmits them to a cloud server via the Internet.

[0465] Step 3:

[0466] The server analyzes the received image data to identify the progress of the learning material. Based on the start time and progress, the server calculates the user's study progress and concentration.

[0467] Input: Start time, progress data

[0468] Output: Study progress and concentration

[0469] Specific operation: A program on the server uses an image analysis algorithm to identify the progress of the learning material and calculates progress and concentration by comparing it with the start time.

[0470] Step 4:

[0471] The server retrieves appropriate meal information from the database based on the study progress and concentration data. After retrieving the meal information, it is sent to the terminal.

[0472] Input: Study progress and concentration data

[0473] Output: Meal information

[0474] Specific operation: Based on the progress and concentration of studies, the server executes a database query to obtain optimal meal information and sends it to the terminal.

[0475] Step 5:

[0476] The device receives the meal information from the server and transfers it to the smart glasses, where the meal information is displayed in the user's field of vision using AR technology.

[0477] Input: Meal information

[0478] Output: Meal information displayed in AR

[0479] Specific operation: The terminal application sends the received meal information to the smart glasses and displays the meal information overlaid on the glasses' display using AR.

[0480] Step 6:

[0481] The user views the product through the smart glasses and scans the product with the camera module.

[0482] Input:Product

[0483] Output: Scanned product data

[0484] Specific operation: The user scans products in view with the camera on the smart glasses and obtains product data.

[0485] Step 7:

[0486] The terminal receives the scanned product data and transmits it to a cloud server.

[0487] Input: Scanned product data

[0488] Output: Data sent to the cloud server

[0489] Specific operation: The terminal receives product data from the smart glasses and sends it to the cloud server.

[0490] Step 8:

[0491] The server analyzes the received product data and generates optimal purchasing suggestions based on past purchase history and preference information.

[0492] Input: Product data, past purchase history, preference information

[0493] Output: Purchase proposal

[0494] Specific operation: The server analyzes product data, extracts past purchase history and preference information from a database, and generates optimal purchasing suggestions based on this.

[0495] Step 9:

[0496] The server generates purchase suggestions and sends them to the terminal, which then transmits them to the smart glasses. The purchase suggestions are displayed in the user's field of vision using AR technology.

[0497] Input: Purchase Proposal

[0498] Output: Purchase suggestions displayed in AR

[0499] Specific operation: The terminal sends the purchasing suggestions received to the smart glasses, which then overlay the purchasing suggestions on the glasses' display using AR.

[0500] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0501] An embodiment for implementing the present invention includes the following elements.

[0502] 1. Terminal:

[0503] It is a device for recognizing teaching materials and notes, has information processing capabilities, and can display information using AR technology. It records the start time and progress of the user's teaching materials and notes, and is responsible for communicating with the server.

[0504] 2. Server:

[0505] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0506] 3. Database:

[0507] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0508] 4. Emotion Engine: This is an engine for recognizing the user's emotions, and obtains emotional information from the user's facial expressions, tone of voice, etc.

[0509] 5.AR technology:

[0510] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0511] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0512] The process flow will be explained below.

[0513] Step 1: The user views teaching materials and notes through the device.

[0514] The device recognizes the study materials and notes the user has at hand.

[0515] Step 2: The device records the start time and progress of the user's materials and notes.

[0516] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0517] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0518] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0519] Step 4: The server obtains the user's emotion information using the emotion engine. The server combines an emotion engine to obtain the user's emotion information, recognizing emotions from the user's facial expressions and tone of voice, and using them for subsequent processing. Step 5: The server obtains meal recommendations based on study progress, concentration level, and emotional information. The server searches the database for relevant meal information based on the calculated study progress, concentration level, and emotional information. If the study progress is high and positive emotions are recognized, a meal that increases energy may be selected. Step 6: The server sends the recommended food information to the terminal. The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake. Step 7: The device uses the smart glasses' AR technology to display meal recommendations. The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses. These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates study progress, concentration level, and emotional information, obtains recommended meals, and the device displays them using AR technology.

[0520] Example 2

[0521] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0522] Conventional systems have difficulty in accurately grasping the user's progress and concentration in studying, and are unable to provide appropriate meal suggestions that take into account the user's feelings during the study process. Furthermore, there is a lack of means to effectively display the acquired meal information to the user, so a system that supports the user's study efficiency and health management is desired.

[0523] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user and the user's emotional information, a means for displaying the recommended meals using AR technology, and a means for using an emotion engine that acquires the user's emotional information. This makes it possible to accurately grasp the user's study progress and concentration level and to propose appropriate meals that take into account the user's emotional state. In addition, by visually presenting the acquired meal information to the user, the user's study efficiency can be improved and health management can be supported.

[0524] A "user" is someone who uses this system to view teaching materials and notes and study.

[0525] "Teaching materials" or "notes" is a general term for books, writing paper, digital texts, etc. that users use for studying.

[0526] "Means of recognition" refers to technology that uses a device such as smart glasses to visually identify teaching materials and notes held by the user and acquire that data.

[0527] "Start time" refers to the time when the user starts using the teaching material or the notes.

[0528] "Progress" is information indicating how far the user has progressed through the learning material or notes, and includes, for example, the number of pages progressed and the elapsed time.

[0529] "Means for recording" refers to technology or devices that record the time when the user started studying and their progress as a log.

[0530] The "means for calculating" refers to an algorithm or processing system for calculating the user's study progress and concentration level based on the recorded data.

[0531] "Emotion information" is data that indicates the user's emotional state as recognized from their facial expressions and tone of voice.

[0532] An "emotion engine" is software or a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0533] The "database" is a data storage system that records recommended meal information according to study progress and concentration level, and makes this information searchable and acquirable.

[0534] "Recommended meals" refers to meal menus suggested based on the user's study progress, concentration level, and emotional state.

[0535] "AR technology" is a technology that overlays digital information onto the real world, and is a means of visually presenting food information through smart glasses.

[0536] "Means of acquisition" refers to technology or programs for searching and retrieving the necessary information from the database.

[0537] As an embodiment of the present invention, a system is constructed that combines the following elements to provide appropriate meal suggestions based on a user's study progress and concentration level.

[0538] 1. Hardware and Software Used

[0539] Smart glasses: A device that allows users to view study materials and notes, and displays information using AR technology. It has information processing capabilities, a camera, and a display.

[0540] Terminal: Works with smart glasses to record the start time and progress of the user's learning materials and notes, and communicates with the server. This can be a smartphone or tablet.

[0541] Server: A device that calculates study progress and concentration, and makes meal suggestions based on emotional information. It also handles database access.

[0542] Database: A database that holds recommended meal information based on study progress and concentration level.

[0543] Emotion engine: An engine for recognizing user emotions. Software that obtains emotional information from the user's facial expressions, tone of voice, etc.

[0544] 2. Program Processing

[0545] The device receives data from the smart glasses and records the user's study start time and progress. This information is sent to the server, which calculates the user's study progress and concentration level based on the data. In addition, the emotion engine is used to obtain the user's emotion information.

[0546] The server retrieves appropriate meal suggestions from the database based on the progress data and emotion information. The smart glasses visually present the meal information received from the server to the user using AR technology.

[0547] 3. Specific Examples

[0548] Example 1: A student is studying at home

[0549] A student (user) is wearing smart glasses and solving a math problem set. The device works with the smart glasses to record the start time of studying and the progress. This data is sent to the server. The server checks that the student is making good progress and concentrating, and detects satisfaction from the student's facial expression using an emotion engine. Based on this information, the server retrieves healthy snack recommendations (e.g., nuts and yogurt) from the database and displays them to the student through the smart glasses.

[0550] Example 2: When a student is studying in a library

[0551] A student (user) is reading a chemistry textbook using smart glasses. The device sends the start time and progress of studying to the server. The server then detects that progress is slow and uses an emotion engine to confirm that the student is feeling tired or stressed. Based on this, it retrieves recommendations from the database for foods that have a relaxing effect (e.g., bananas and chocolate) and visually presents them through the smart glasses.

[0552] 4. Examples of prompts

[0553] "Record students as they use smart glasses to solve math problems, then analyze their progress and emotions to recommend healthy snacks."

[0554] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0555] Step 1: Power up the smart glasses and have the user put them on

[0556] The user activates and wears the smart glasses. The smart glasses activate the camera and turn on the display. Once the smart glasses are ready, they start capturing the user's viewing environment in real time. Inputs include the user's action (putting on the glasses) and the device state (activation). The output is a signal that activation is complete.

[0557] Step 2: Start viewing the materials / notes

[0558] The user opens a learning material or a note and starts viewing it. The smart glasses capture live video through the camera and analyze it to recognize which learning material or page the user is viewing. The input includes visual data (camera video) and the output is the start time of the recognized learning material / note.

[0559] Step 3: Record your start time and progress

[0560] The terminal receives the data sent from the smart glasses and records the start time of studying. It also continuously logs the progress such as page number and answer time every time the user turns a page. The input includes the start time and progress (page number, answer time), and the output is the recorded log data.

[0561] Step 4: Sending information to the server

[0562] The terminal periodically transmits the recorded data to the server in the form of packets. This data includes the start time, progress, and log information. The input includes the log data, and the output is a transmission completion notification to the server.

[0563] Step 5: Calculating your study progress and concentration

[0564] The server analyzes the received data and uses a specific algorithm to calculate the user's progress and concentration in studying. For example, the progress is evaluated based on the page turning speed, answering speed, etc. The input includes the start time, progress data, and log information, and the output is the calculated evaluation result of the progress and concentration in studying.

[0565] Step 6: Obtaining emotion information

[0566] The server obtains the user's emotional information using an emotion engine. The emotion engine analyzes the user's facial expressions and tone of voice captured by the smart glasses. The input includes visual and audio data, and the output is the analyzed emotional information.

[0567] Step 7: Get food recommendations

[0568] The server queries the database based on study progress, concentration, and emotional information to obtain appropriate meal suggestions. The database stores meal information according to rules such as "light meals when concentration is high, and nutritious meals when concentration is low." The input includes the progress and concentration evaluation results and emotional information, and the output is recommended meal information.

[0569] Step 8: View your meal information

[0570] The server transmits the acquired meal information to the smart glasses, which receive it and display the meal information in the user's field of view using AR technology. The input includes the meal information, and the output is the meal information displayed in the user's field of view.

[0571] Explanation including specific actions

[0572] By showing in detail how the terminal, server, and user interact with each other and how data flows at each step, the operation of the entire system can be understood in detail.

[0573] (Application example 2)

[0574] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0575] Conventional study support systems have difficulty in making appropriate meal suggestions based on the user's study progress and concentration level, which reduces the sustained effect of studying. In addition, there is also a problem that the user's satisfaction is low because the system makes uniform meal suggestions without considering the user's feelings. For this reason, there is a demand for a system that can maximize the user's study efficiency and suggest healthy meals at the right time.

[0576] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user, a means for displaying the recommended meals using AR technology, a means including an emotion engine that recognizes the user's emotions, and a means for suggesting meals based on the emotion information. This makes it possible to make appropriate and individualized meal suggestions according to the user's study progress and emotional state.

[0577] "Teaching materials or notes" refers to physical study materials, such as books, documents, or notebooks, that a user uses in a study activity.

[0578] "Start time" refers to the time when the study material or notes begin to be used for studying.

[0579] "Progress" is information that indicates the progress of a user's learning in the teaching materials or notebooks they are using, and specifically includes the elapsed time, the number of pages progressed, and the like.

[0580] "Study progress or concentration" indicates the progress of the user's learning activities and the degree of concentration on learning, and is an index calculated based on the start time and progress status.

[0581] "Database" refers to an information management system that accumulates recorded data correlating study progress or concentration with meals.

[0582] "Recommended meals" refers to optimal meals selected based on a database, taking into consideration the user's study progress, concentration level, and emotional information.

[0583] "AR technology" refers to a technology that presents information visually to users by overlaying digital information onto a real-world environment.

[0584] An "emotion engine" refers to a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0585] The "means for making meal suggestions" refers to a system having a function for suggesting optimal meals to a user based on emotional information and study progress or concentration level.

[0586] This invention provides a system that recognizes study materials or notes held by a user, calculates the progress and concentration of the user's studies, and uses AR technology to suggest appropriate meals. A specific embodiment for implementing this system is described below.

[0587] Hardware Configuration

[0588] 1. Smart glasses: A device that allows users to view study materials and notes and monitor their progress in real time. It also has the ability to display meal recommendations using AR technology.

[0589] 2. Terminal: A portable device that works in conjunction with the smart glasses to record the user's learning materials, notes, start time, progress, and communicate with the server.

[0590] 3. Server: A central processing unit that suggests optimal meals based on study progress, concentration, and emotional information.

[0591] 4. Database: Stores recorded information relating study progress and concentration to meals.

[0592] 5. Emotion engine: A software engine that acquires and analyzes the user's emotional information.

[0593] Software Configuration

[0594] 1. Recording study progress and concentration: Using smart glasses and a terminal, the start time and progress are recorded and sent to a server.

[0595] 2. Analysis of study progress and emotion: The server analyzes the received study progress and emotion information and calculates the user's current concentration level.

[0596] 3. Meal Suggestion: The server retrieves meal recommendations from the database based on study progress, concentration level and emotion information, and sends them to the smart glasses.

[0597] 4. AR display: The smart glasses visually display the acquired food information using AR technology.

[0598] 5. Order Food: Users can order suggested meals for delivery through the smart glasses.

[0599] Examples

[0600] For example, let's imagine a situation where a university student is studying. The smart glasses monitor the start time and progress of studying in real time and send it to the server via the terminal. The server calculates the concentration level based on that, and furthermore, obtains emotional information from the user's facial expressions and voice using an emotion engine.

[0601] The server comprehensively analyzes this information, and if it determines that the user is tired, it retrieves from the database recommended meals such as a "refreshing fruit smoothie" or a "nutritious salad."

[0602] The smart glasses then use AR technology to display these recommended meals in the user's field of view, allowing the user to easily order meals for delivery through their device.

[0603] Examples of prompt statements

[0604] "Provide real-time healthy meal recommendations based on the user's study progress and sentiment data."

[0605] This format makes it possible to improve the user's study efficiency and suggest healthy meals at appropriate times.

[0606] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0607] Step 1:

[0608] The smart glasses recognize the learning materials or notes held by the user. The smart glasses use a camera to capture visual information of the learning materials or notes. This information is sent to the terminal, where the learning materials or notes are identified by a recognition algorithm. The input is the visual information, and the output is the recognition result of the learning materials or notes.

[0609] Step 2:

[0610] The start time of the recognized teaching material or note is recorded. The terminal records the current time based on this information and sets it as the start time. The input is the recognition result and the current time, and the output is the start time.

[0611] Step 3:

[0612] Recording progress. The smart glasses monitor how the user views the learning materials and notes, and send the page number and learning progress to the terminal. The terminal records this and saves it as progress data. The input is the user's learning activity data, and the output is progress data.

[0613] Step 4:

[0614] Calculates the user's progress or concentration in studying. The server calculates the degree of progress and concentration in studying based on the start time and progress data sent from the terminal. For example, the number of pages progressed and the degree of understanding of the learning content are used as evaluation indicators. The input is the start time and progress data, and the output is study progress or concentration data.

[0615] Step 5:

[0616] Acquire emotional information. The device collects the user's facial expressions and tone of voice using the camera and microphone of the smart glasses and sends them to the emotion engine. The emotion engine analyzes this data and recognizes the user's emotional state. The input is facial expression and voice data, and the output is emotional information.

[0617] Step 6:

[0618] Obtain recommended meals. The server searches the database based on study progress or concentration data and emotion information, and selects the most suitable meal for the user. The input is study progress or concentration data and emotion information, and the output is recommended meal information.

[0619] Step 7:

[0620] Recommended meals are displayed using AR technology. The smart glasses display recommended meal information as digital information overlaid on the user's field of view based on the recommended meal information sent from the server. The input is the recommended meal information, and the output is the AR meal information displayed in the field of view.

[0621] Step 8:

[0622] Ordering a meal. The user selects from the recommended meals presented through the smart glasses and places an order with the delivery service through the terminal. The input is the user's selection data, and the output is order confirmation information.

[0623] Example: If a user is studying for an exam at university, the process from step 1 to step 5 recognizes the user's progress in studying and the emotion of "fatigue." The server selects "an energy cereal bar" and "a refreshing herbal tea" in step 6 and displays them in AR in step 7. The user can select these items in step 8 and place a delivery order.

[0624] In this way, through a series of processing steps, a system is realized that takes into account the user's learning situation and emotions and makes optimal meal suggestions in real time.

[0625] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0626] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0627] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0628] [Third embodiment]

[0629] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0630] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0631] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0632] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0633] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0634] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0635] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0636] Fig. 6 shows an example of main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0637] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0638] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0639] In the headset type terminal 314, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0640] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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".

[0641] An embodiment for implementing the present invention includes the following elements.

[0642] 1. Terminal:

[0643] It is a device for recognizing teaching materials and notes, has information processing capabilities, and can display information using AR technology. It records the start time and progress of the user's teaching materials and notes, and is responsible for communicating with the server.

[0644] 2. Server:

[0645] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0646] 3. Database:

[0647] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0648] 4.AR technology:

[0649] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0650] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0651] The process flow will be explained below.

[0652] Step 1: The user views teaching materials and notes through the device.

[0653] The device recognizes the study materials and notes the user has at hand.

[0654] Step 2: The device records the start time and progress of the user's materials and notes.

[0655] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0656] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0657] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0658] Step 4: The server retrieves from the database recommended meals based on the student's study progress and concentration level.

[0659] The server searches the database for relevant meal information based on the calculated study progress and concentration level. For example, if the study progress is high, a meal that improves concentration may be selected.

[0660] Step 5: The server sends the recommended meals to the device.

[0661] The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake.

[0662] Step 6: The device uses the smart glasses' AR technology to display meal recommendations.

[0663] The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses.

[0664] These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates the progress and concentration of the study, obtains recommended meals, and the device displays them using AR technology.

[0665] Example 1

[0666] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal".

[0667] Conventional learning management systems did not adequately suggest appropriate meals according to the user's study progress and concentration level. In addition, they lacked a means to present the user's study status in an easy-to-understand manner by linking it to the real world. This made it difficult for users to continue studying effectively and maintain maximum concentration.

[0668] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0669] In this invention, the server includes a means for recognizing teaching materials or notes, a means for recording a start time and a progress of the teaching materials or notes, a means for calculating a user's progress or concentration on studying based on the recorded start time and progress, a means for acquiring recommended meals based on the calculated progress or concentration on studying of the user, and a means for displaying the recommended meals using augmented reality technology. This makes it possible to suggest appropriate meals based on the user's progress and concentration on studying, and to provide the user with intuitive and visual meal information by using AR technology.

[0670] "Teaching materials or notes" refers to all materials such as books, handouts, electronic documents, etc. that a user uses for study purposes.

[0671] "Means of recognition" refers to equipment that has the ability to acquire and analyze visual information using input devices such as cameras and sensors.

[0672] "Start time" refers to time information at which the use of the teaching material or notes began.

[0673] "Progress" refers to information such as the degree of progress a user makes as they progress through their studies and the number of pages completed.

[0674] "Means of recording" refers to storage and logging functions for saving acquired data and making it available for later reference.

[0675] "Calculation means" refers to an algorithm or processor that uses collected data to calculate a specific numerical value or indicator (e.g., study progress or concentration).

[0676] A "database" refers to a system that systematically stores and manages large amounts of information and enables specific data to be searched and retrieved as needed.

[0677] "Means for obtaining recommended meals" refers to a system or process for retrieving appropriate meal information from a database based on calculated study progress and concentration.

[0678] "Augmented reality technology" refers to a technology that uses AR (Augmented Reality) technology to overlay digital information on the real world.

[0679] "Means of displaying using AR technology" refers to means of visually presenting virtual information superimposed on the real environment using devices such as smart glasses or headsets.

[0680] An "interactive advisor" refers to an artificial intelligence or dialogue system that responds to a user's questions or requests and provides appropriate responses.

[0681] This system combines smart glasses, terminals, servers, databases, and augmented reality technology (AR technology) to effectively support users' learning activities.

[0682] Hardware and Software Used

[0683] 1. Smart glasses:

[0684] In this system, users use smart glasses to obtain information about teaching materials and notes. The smart glasses are equipped with cameras and sensors and have the ability to recognize the content of teaching materials. For example, devices such as "Microsoft HoloLens" can be used.

[0685] 2. Terminal:

[0686] The devices include PCs, tablets, and smartphones. These devices have applications installed that receive the data sent from the smart glasses and record the start time and progress. Communication is via Bluetooth, Wi-Fi, etc.

[0687] 3. Server:

[0688] The server functions as a cloud server or a local server and processes data to calculate the user's learning progress and concentration. For example, a Linux server, AWS, Google Cloud, etc. can be used.

[0689] 4. Database:

[0690] The database accessed from the server stores appropriate meal information according to the progress of learning and the level of concentration. MySQL, PostgreSQL, etc. can be used as the database management system.

[0691] 5. Augmented Reality Technology (AR Technology):

[0692] It is used to visually present dietary information to users through smart glasses or a headset, and can overlay digital data onto the user's field of vision.

[0693] Specific operation of the system

[0694] First, the user puts on the smart glasses, turns them on and opens the textbook. The cover and page contents of the textbook are recognized by the smart glasses' camera, and information such as "Mathematics Chapter 3: Linear Algebra" is visually displayed.

[0695] The device receives data from the smart glasses and records the start time of using the learning materials and the progress. This data is sent to the server at regular intervals. The server analyzes the received information and calculates the user's study progress and concentration level. For example, it can give a result such as "You progressed through 10 pages in one hour. Your concentration level is high."

[0696] Next, the server accesses the database to obtain recommended meals according to the calculated concentration level. For example, "citrus fruit juice" is selected as a "meal recommended for when the concentration level is high."

[0697] Finally, the meal information is sent to the smart glasses and is displayed overlaid on the user's field of vision using augmented reality technology. The information "Recommended meal: Citrus fruit juice" is displayed in the user's field of vision, making it easier for the user to understand intuitively.

[0698] Other Examples

[0699] When a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0700] Examples of prompt statements

[0701] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0702] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0703] Step 1:

[0704] The user wears the smart glasses and recognizes the educational material.

[0705] The user puts on the smart glasses and turns them on. This action activates the smart glasses' camera, which captures the study materials and notes in the user's field of view. Specifically, when the user opens a mathematics textbook, the smart glasses' camera recognizes the cover and page contents of the textbook, and obtains information such as "Mathematics Chapter 3: Linear Algebra." The recognized information is processed within the smart glasses, and the contents of the study materials are analyzed.

[0706] Input: Study material or notes

[0707] Output: Information about the recognized material or notes (e.g. "Mathematics Chapter 3: Linear Algebra")

[0708] Step 2:

[0709] The device works in conjunction with smart glasses to receive data and record the start time and progress.

[0710] The device receives data from the smart glasses via Bluetooth or Wi-Fi. The received information includes the content of the learning materials and the time when the user started studying. The device records this information and saves it as a log. For example, the device records the time when the user started studying, and then records the progress as the user advances through the pages.

[0711] Input: Start time and content of the material sent from the smart glasses

[0712] Output: Start time and progress log

[0713] Step 3:

[0714] The device sends the recorded data to the server

[0715] At regular intervals, the device sends the recorded start time and progress data to the server. Communication is via the Internet. The sent data is stored in the server's database. For example, data such as "Start time: 10:00, Progress: 5 pages progressed" is sent to the server every hour.

[0716] Input: Data recorded on the terminal

[0717] Output: Data sent to the server

[0718] Step 4:

[0719] The server calculates the user's progress and concentration in studying.

[0720] The server calculates the user's study progress and concentration level based on the received data. Progress is calculated based on the elapsed time and the number of pages progressed, and concentration level is evaluated using an algorithm that corresponds to that. For example, it analyzes "start time: 10:00, current time: 11:00, progress: 10 pages" and determines that "the user's concentration level is high."

[0721] Input: Start time and progress data sent to the server

[0722] Output: Evaluation results of the user's study progress and concentration

[0723] Step 5:

[0724] The server selects recommended meals from the database.

[0725] The server then uses the calculated progress and concentration level to determine the optimal meal recommendation from the food information in the database. For example, if the concentration level is high, a relaxing citrus fruit juice is recommended.

[0726] Input: User's study progress and concentration evaluation results

[0727] Output: Meal recommendations retrieved from the database

[0728] Step 6:

[0729] Smart glasses use AR technology to display meal recommendations

[0730] The recommended food information sent from the server is forwarded to the smart glasses. The smart glasses receive this information and use AR technology to display it as digital information in the user's field of vision. The information "Recommended food: Citrus fruit juice" appears in the user's field of vision.

[0731] Input: Recommended meal information sent from the server

[0732] Output: Display of recommended meal information using AR technology

[0733] Other Examples

[0734] For example, if a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[0735] Examples of prompt statements

[0736] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[0737] (Application example 1)

[0738] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0739] Conventional study support systems and purchasing support systems have difficulty in providing appropriate meal and purchasing suggestions in real time according to the user's study progress and concentration level, and are particularly lacking in visual support using AR technology. This makes it difficult for users to maximize their study efficiency and select optimal products. Therefore, the present invention aims to provide a system that provides integrated study support and purchasing support for users, thereby improving the user's lifestyle.

[0740] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0741] In this invention, the server includes a means for recognizing the teaching materials or notebooks held by the user, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's progress or concentration in studying based on the recorded start time and progress, a means for acquiring recommended meals from a database that records the progress or concentration in studying and meals in association with each other based on the calculated progress or concentration in studying, a means for displaying the recommended meals using AR technology, a means for recognizing products in the user's field of view and acquiring detailed information about the products, a means for generating optimal purchase suggestions based on past purchase history and preference information, and a means for displaying the optimal purchase suggestions using AR technology. This allows the user to continue studying efficiently while receiving optimal meal and product purchase suggestions.

[0742] "User" refers to an individual who uses the system to study through learning materials and notes.

[0743] "Teaching materials" refers to study materials such as textbooks and reference books used by users for studying.

[0744] A "notebook" refers to a notepad or writing implement that a user uses when studying.

[0745] "Start time" refers to the time when the user begins using the teaching materials or notes.

[0746] "Progress" refers to how far a user has progressed with respect to study materials or notes, or how far along the learning process is.

[0747] "Study progress" refers to information indicating how much progress the user has made in the course of studying.

[0748] "Level of concentration" refers to the degree to which the user is concentrating on studying.

[0749] The term "database" refers to a collection of information that holds information regarding a user's learning progress and concentration level, as well as optimal dietary information corresponding thereto.

[0750] "Recommended meals" refers to suggestions for nutritionally balanced meals selected based on the user's study progress and level of concentration.

[0751] "AR technology" stands for augmented reality technology, and refers to the technology that overlays digital information on the actual field of vision.

[0752] A "product" refers to a purchase object that is visually recognized by a user.

[0753] "Purchase suggestions" refer to optimal purchasing options provided based on a user's past purchasing history and preference information.

[0754] A "cloud server" refers to a group of remote servers that host data and applications over the Internet.

[0755] In this invention, a system is realized that utilizes smart glasses, a terminal, a server, and a database to manage a user's study progress and provide optimal meal and purchase suggestions. The system is implemented as follows.

[0756] The smart glasses are equipped with a camera module and AR technology, and an appropriate device such as Microsoft HoloLens 2 is used. The camera module can scan the teaching materials and notes used by the user to obtain related information. The start time of use and progress are recorded on a terminal (such as a smartphone) linked to the smart glasses.

[0757] The device transmits the obtained information of study materials and notes to a cloud server. The cloud server calculates the user's study progress and concentration level using a remote service such as a web application development platform or cloud computing service. Based on the calculation result, it retrieves optimal meal information from a MySQL database or a similar database and notifies the user.

[0758] Users can also use the smart glasses to recognize products in their field of vision and obtain detailed information. After scanning a product, the cloud server will generate optimal purchasing suggestions based on past purchase history and preference information. This allows users to receive visual suggestions in real time through AR technology.

[0759] For example, if a user feels hungry while studying, the smart glasses will show them the best meal to eat.Similarly, when a user is looking to buy something at a shopping mall, the smart glasses will show them detailed information about the product and the best purchase suggestions.

[0760] This allows users to study efficiently while quickly receiving the information and suggestions they need, improving their quality of life.

[0761] Examples of prompt statements

[0762] "Make the best purchase suggestions from scanned products based on your past purchase history and reviews."

[0763] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0764] Step 1:

[0765] A user puts on the smart glasses and opens a teaching material or a notebook. The camera module of the smart glasses scans the teaching material or notebook and captures the image data.

[0766] Input: The study material or notes that are in the user's field of view

[0767] Output: Scanned image data

[0768] How it works: The camera in the smart glasses captures the learning material in the user's field of vision, and an image recognition algorithm analyzes it.

[0769] Step 2:

[0770] The device receives the scanned image data and records the time when the teaching materials and notes were used. The device then transmits this data to a cloud server.

[0771] Input: Scanned image data, start time of use

[0772] Output: Data sent to the cloud server

[0773] Specific operation: The application on the terminal receives image data and start time information from the smart glasses and transmits them to a cloud server via the Internet.

[0774] Step 3:

[0775] The server analyzes the received image data to identify the progress of the learning material. Based on the start time and progress, the server calculates the user's study progress and concentration.

[0776] Input: Start time, progress data

[0777] Output: Study progress and concentration

[0778] Specific operation: A program on the server uses an image analysis algorithm to identify the progress of the learning material and calculates progress and concentration by comparing it with the start time.

[0779] Step 4:

[0780] The server retrieves appropriate meal information from the database based on the study progress and concentration data. After retrieving the meal information, it is sent to the terminal.

[0781] Input: Study progress and concentration data

[0782] Output: Meal information

[0783] Specific operation: Based on the progress and concentration of studies, the server executes a database query to obtain optimal meal information and sends it to the terminal.

[0784] Step 5:

[0785] The device receives the meal information from the server and transfers it to the smart glasses, where the meal information is displayed in the user's field of vision using AR technology.

[0786] Input: Meal information

[0787] Output: Meal information displayed in AR

[0788] Specific operation: The terminal application sends the received meal information to the smart glasses and displays the meal information overlaid on the glasses' display using AR.

[0789] Step 6:

[0790] The user views the product through the smart glasses and scans the product with the camera module.

[0791] Input:Product

[0792] Output: Scanned product data

[0793] Specific operation: The user scans products in view with the camera on the smart glasses and obtains product data.

[0794] Step 7:

[0795] The terminal receives the scanned product data and transmits it to a cloud server.

[0796] Input: Scanned product data

[0797] Output: Data sent to the cloud server

[0798] Specific operation: The terminal receives product data from the smart glasses and sends it to the cloud server.

[0799] Step 8:

[0800] The server analyzes the received product data and generates optimal purchasing suggestions based on past purchase history and preference information.

[0801] Input: Product data, past purchase history, preference information

[0802] Output: Purchase proposal

[0803] Specific operation: The server analyzes product data, extracts past purchase history and preference information from a database, and generates optimal purchasing suggestions based on this.

[0804] Step 9:

[0805] The server generates purchase suggestions and sends them to the terminal, which then transmits them to the smart glasses. The purchase suggestions are displayed in the user's field of vision using AR technology.

[0806] Input: Purchase Proposal

[0807] Output: Purchase suggestions displayed in AR

[0808] Specific operation: The terminal sends the purchasing suggestions received to the smart glasses, which then overlay the purchasing suggestions on the glasses' display using AR.

[0809] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0810] An embodiment for implementing the present invention includes the following elements.

[0811] 1. Terminal:

[0812] It is a device for recognizing teaching materials and notes, has information processing capabilities, and can display information using AR technology. It records the start time and progress of the user's teaching materials and notes, and is responsible for communicating with the server.

[0813] 2. Server:

[0814] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0815] 3. Database:

[0816] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0817] 4. Emotion Engine: This is an engine for recognizing the user's emotions, and obtains emotional information from the user's facial expressions, tone of voice, etc.

[0818] 5.AR technology:

[0819] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0820] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0821] The process flow will be explained below.

[0822] Step 1: The user views teaching materials and notes through the device.

[0823] The device recognizes the study materials and notes the user has at hand.

[0824] Step 2: The device records the start time and progress of the user's materials and notes.

[0825] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0826] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0827] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0828] Step 4: The server obtains the user's emotion information using the emotion engine. The server combines an emotion engine to obtain the user's emotion information, recognizing emotions from the user's facial expressions and tone of voice, and using them for subsequent processing. Step 5: The server obtains meal recommendations based on study progress, concentration level, and emotional information. The server searches the database for relevant meal information based on the calculated study progress, concentration level, and emotional information. If the study progress is high and positive emotions are recognized, a meal that increases energy may be selected. Step 6: The server sends the recommended food information to the terminal. The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake. Step 7: The device uses the smart glasses' AR technology to display meal recommendations. The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses. These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates study progress, concentration level, and emotional information, obtains recommended meals, and the device displays them using AR technology.

[0829] Example 2

[0830] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal".

[0831] Conventional systems have difficulty in accurately grasping the user's progress and concentration in studying, and are unable to provide appropriate meal suggestions that take into account the user's feelings during the study process. Furthermore, there is a lack of means to effectively display the acquired meal information to the user, so a system that supports the user's study efficiency and health management is desired.

[0832] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user and the user's emotional information, a means for displaying the recommended meals using AR technology, and a means for using an emotion engine that acquires the user's emotional information. This makes it possible to accurately grasp the user's study progress and concentration level and to propose appropriate meals that take into account the user's emotional state. In addition, by visually presenting the acquired meal information to the user, the user's study efficiency can be improved and health management can be supported.

[0833] A "user" is someone who uses this system to view teaching materials and notes and study.

[0834] "Teaching materials" or "notes" is a general term for books, writing paper, digital texts, etc. that users use for studying.

[0835] "Means of recognition" refers to technology that uses a device such as smart glasses to visually identify teaching materials and notes held by the user and acquire that data.

[0836] "Start time" refers to the time when the user starts using the teaching material or the notes.

[0837] "Progress" is information indicating how far the user has progressed through the learning material or notes, and includes, for example, the number of pages progressed and the elapsed time.

[0838] "Means for recording" refers to technology or devices that record the time when the user started studying and their progress as a log.

[0839] The "means for calculating" refers to an algorithm or processing system for calculating the user's study progress and concentration level based on the recorded data.

[0840] "Emotion information" is data that indicates the user's emotional state as recognized from their facial expressions and tone of voice.

[0841] An "emotion engine" is software or a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0842] The "database" is a data storage system that records recommended meal information according to study progress and concentration level, and makes this information searchable and acquirable.

[0843] "Recommended meals" refers to meal menus suggested based on the user's study progress, concentration level, and emotional state.

[0844] "AR technology" is a technology that overlays digital information onto the real world, and is a means of visually presenting food information through smart glasses.

[0845] "Means of acquisition" refers to technology or programs for searching and retrieving the necessary information from the database.

[0846] As an embodiment of the present invention, a system is constructed that combines the following elements to provide appropriate meal suggestions based on a user's study progress and concentration level.

[0847] 1. Hardware and Software Used

[0848] Smart glasses: A device that allows users to view study materials and notes, and displays information using AR technology. It has information processing capabilities, a camera, and a display.

[0849] Terminal: Works with smart glasses to record the start time and progress of the user's learning materials and notes, and communicates with the server. This can be a smartphone or tablet.

[0850] Server: A device that calculates study progress and concentration, and makes meal suggestions based on emotional information. It also handles database access.

[0851] Database: A database that holds recommended meal information based on study progress and concentration level.

[0852] Emotion engine: An engine for recognizing user emotions. Software that obtains emotional information from the user's facial expressions, tone of voice, etc.

[0853] 2. Program Processing

[0854] The device receives data from the smart glasses and records the user's study start time and progress. This information is sent to the server, which calculates the user's study progress and concentration level based on the data. In addition, the emotion engine is used to obtain the user's emotion information.

[0855] The server retrieves appropriate meal suggestions from the database based on the progress data and emotion information. The smart glasses visually present the meal information received from the server to the user using AR technology.

[0856] 3. Specific Examples

[0857] Example 1: A student is studying at home

[0858] A student (user) is wearing smart glasses and solving a math problem set. The device works with the smart glasses to record the start time of studying and the progress. This data is sent to the server. The server checks that the student is making good progress and concentrating, and detects satisfaction from the student's facial expression using an emotion engine. Based on this information, the server retrieves healthy snack recommendations (e.g., nuts and yogurt) from the database and displays them to the student through the smart glasses.

[0859] Example 2: When a student is studying in a library

[0860] A student (user) is reading a chemistry textbook using smart glasses. The device sends the start time and progress of studying to the server. The server then detects that progress is slow and uses an emotion engine to confirm that the student is feeling tired or stressed. Based on this, it retrieves recommendations from the database for foods that have a relaxing effect (e.g., bananas and chocolate) and visually presents them through the smart glasses.

[0861] 4. Examples of prompts

[0862] "Record students as they use smart glasses to solve math problems, then analyze their progress and emotions to recommend healthy snacks."

[0863] This allows a concrete understanding of how the system works and what benefits it provides to the user.

[0864] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0865] Step 1: Power up the smart glasses and have the user put them on

[0866] The user activates and wears the smart glasses. The smart glasses activate the camera and turn on the display. Once the smart glasses are ready, they start capturing the user's viewing environment in real time. Inputs include the user's action (putting on the glasses) and the device state (activation). The output is a signal that activation is complete.

[0867] Step 2: Start viewing the materials / notes

[0868] The user opens a learning material or a note and starts viewing it. The smart glasses capture live video through the camera and analyze it to recognize which learning material or page the user is viewing. The input includes visual data (camera video) and the output is the start time of the recognized learning material / note.

[0869] Step 3: Record your start time and progress

[0870] The terminal receives the data sent from the smart glasses and records the start time of studying. It also continuously logs the progress such as page number and answer time every time the user turns a page. The input includes the start time and progress (page number, answer time), and the output is the recorded log data.

[0871] Step 4: Sending information to the server

[0872] The terminal periodically transmits the recorded data to the server in the form of packets. This data includes the start time, progress, and log information. The input includes the log data, and the output is a transmission completion notification to the server.

[0873] Step 5: Calculating your study progress and concentration

[0874] The server analyzes the received data and uses a specific algorithm to calculate the user's progress and concentration in studying. For example, the progress is evaluated based on the page turning speed, answering speed, etc. The input includes the start time, progress data, and log information, and the output is the calculated evaluation result of the progress and concentration in studying.

[0875] Step 6: Obtaining emotion information

[0876] The server obtains the user's emotional information using an emotion engine. The emotion engine analyzes the user's facial expressions and tone of voice captured by the smart glasses. The input includes visual and audio data, and the output is the analyzed emotional information.

[0877] Step 7: Get food recommendations

[0878] The server queries the database based on study progress, concentration, and emotional information to obtain appropriate meal suggestions. The database stores meal information according to rules such as "light meals when concentration is high, and nutritious meals when concentration is low." The input includes the progress and concentration evaluation results and emotional information, and the output is recommended meal information.

[0879] Step 8: View your meal information

[0880] The server transmits the acquired meal information to the smart glasses, which receive it and display the meal information in the user's field of view using AR technology. The input includes the meal information, and the output is the meal information displayed in the user's field of view.

[0881] Explanation including specific actions

[0882] By showing in detail how the terminal, server, and user interact with each other and how data flows at each step, the operation of the entire system can be understood in detail.

[0883] (Application example 2)

[0884] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server", and the headset type terminal 314 will be referred to as a "terminal".

[0885] Conventional study support systems have difficulty in making appropriate meal suggestions based on the user's study progress and concentration level, which reduces the sustained effect of studying. In addition, there is also a problem that the user's satisfaction is low because the system makes uniform meal suggestions without considering the user's feelings. For this reason, there is a demand for a system that can maximize the user's study efficiency and suggest healthy meals at the right time.

[0886] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user, a means for displaying the recommended meals using AR technology, a means including an emotion engine that recognizes the user's emotions, and a means for suggesting meals based on the emotion information. This makes it possible to make appropriate and individualized meal suggestions according to the user's study progress and emotional state.

[0887] "Teaching materials or notes" refers to physical study materials, such as books, documents, or notebooks, that a user uses in a study activity.

[0888] "Start time" refers to the time when the study material or notes begin to be used for studying.

[0889] "Progress" is information that indicates the progress of a user's learning in the teaching materials or notebooks they are using, and specifically includes the elapsed time, the number of pages progressed, and the like.

[0890] "Study progress or concentration" indicates the progress of the user's learning activities and the degree of concentration on learning, and is an index calculated based on the start time and progress status.

[0891] "Database" refers to an information management system that accumulates recorded data correlating study progress or concentration with meals.

[0892] "Recommended meals" refers to optimal meals selected based on a database, taking into consideration the user's study progress, concentration level, and emotional information.

[0893] "AR technology" refers to a technology that presents information visually to users by overlaying digital information onto a real-world environment.

[0894] An "emotion engine" refers to a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[0895] The "means for making meal suggestions" refers to a system having a function for suggesting optimal meals to a user based on emotional information and study progress or concentration level.

[0896] This invention provides a system that recognizes study materials or notes held by a user, calculates the progress and concentration of the user's studies, and uses AR technology to suggest appropriate meals. A specific embodiment for implementing this system is described below.

[0897] Hardware Configuration

[0898] 1. Smart glasses: A device that allows users to view study materials and notes and monitor their progress in real time. It also has the ability to display meal recommendations using AR technology.

[0899] 2. Terminal: A portable device that works in conjunction with the smart glasses to record the user's learning materials, notes, start time, progress, and communicate with the server.

[0900] 3. Server: A central processing unit that suggests optimal meals based on study progress, concentration, and emotional information.

[0901] 4. Database: Stores recorded information relating study progress and concentration to meals.

[0902] 5. Emotion engine: A software engine that acquires and analyzes the user's emotional information.

[0903] Software Configuration

[0904] 1. Recording study progress and concentration: Using smart glasses and a terminal, the start time and progress are recorded and sent to a server.

[0905] 2. Analysis of study progress and emotion: The server analyzes the received study progress and emotion information and calculates the user's current concentration level.

[0906] 3. Meal Suggestion: The server retrieves meal recommendations from the database based on study progress, concentration level and emotion information, and sends them to the smart glasses.

[0907] 4. AR display: The smart glasses visually display the acquired food information using AR technology.

[0908] 5. Order Food: Users can order suggested meals for delivery through the smart glasses.

[0909] Examples

[0910] For example, let's imagine a situation where a university student is studying. The smart glasses monitor the start time and progress of studying in real time and send it to the server via the terminal. The server calculates the concentration level based on that, and furthermore, obtains emotional information from the user's facial expressions and voice using an emotion engine.

[0911] The server comprehensively analyzes this information, and if it determines that the user is tired, it retrieves from the database recommended meals such as a "refreshing fruit smoothie" or a "nutritious salad."

[0912] The smart glasses then use AR technology to display these recommended meals in the user's field of view, allowing the user to easily order meals for delivery through their device.

[0913] Examples of prompt statements

[0914] "Provide real-time healthy meal recommendations based on the user's study progress and sentiment data."

[0915] This format makes it possible to improve the user's study efficiency and suggest healthy meals at appropriate times.

[0916] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0917] Step 1:

[0918] The smart glasses recognize the learning materials or notes held by the user. The smart glasses use a camera to capture visual information of the learning materials or notes. This information is sent to the terminal, where the learning materials or notes are identified by a recognition algorithm. The input is the visual information, and the output is the recognition result of the learning materials or notes.

[0919] Step 2:

[0920] The start time of the recognized teaching material or note is recorded. The terminal records the current time based on this information and sets it as the start time. The input is the recognition result and the current time, and the output is the start time.

[0921] Step 3:

[0922] Recording progress. The smart glasses monitor how the user views the learning materials and notes, and send the page number and learning progress to the terminal. The terminal records this and saves it as progress data. The input is the user's learning activity data, and the output is progress data.

[0923] Step 4:

[0924] Calculates the user's study progress or concentration. The server calculates the degree of study progress and concentration based on the start time and progress data sent from the terminal. For example, the number of pages progressed and the level of understanding of the study content are used as evaluation indicators. The input is the start time and progress data, and the output is study progress or concentration data.

[0925] Step 5:

[0926] Acquire emotional information. The device collects the user's facial expressions and tone of voice using the camera and microphone of the smart glasses and sends them to the emotion engine. The emotion engine analyzes this data and recognizes the user's emotional state. The input is facial expression and voice data, and the output is emotional information.

[0927] Step 6:

[0928] Obtain recommended meals. The server searches the database based on study progress or concentration data and emotion information, and selects the most suitable meal for the user. The input is study progress or concentration data and emotion information, and the output is recommended meal information.

[0929] Step 7:

[0930] Recommended meals are displayed using AR technology. The smart glasses display recommended meal information as digital information overlaid on the user's field of view based on the recommended meal information sent from the server. The input is the recommended meal information, and the output is the AR meal information displayed in the field of view.

[0931] Step 8:

[0932] Ordering a meal. The user selects from the recommended meals presented through the smart glasses and places an order with the delivery service through the terminal. The input is the user's selection data, and the output is order confirmation information.

[0933] Example: If a user is studying for an exam at university, the process from step 1 to step 5 recognizes the user's progress in studying and the emotion of "fatigue." The server selects "an energy cereal bar" and "a refreshing herbal tea" in step 6 and displays them in AR in step 7. The user can select these items in step 8 and place a delivery order.

[0934] In this way, through a series of processing steps, a system is realized that takes into account the user's learning situation and emotions and makes optimal meal suggestions in real time.

[0935] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0936] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0937] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[0938] [Fourth embodiment]

[0939] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0940] 7, a 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.

[0941] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0942] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. In addition, the microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0943] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0944] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0945] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0946] The control target 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, legs, etc. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, legs, etc. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0947] Fig. 8 shows an example of main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0948] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0949] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0950] In the robot 414, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0951] Next, a description will be given of the specific processing by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal".

[0952] An embodiment for implementing the present invention includes the following elements.

[0953] 1. Smart Glasses:

[0954] It is a device for recognizing teaching materials and notes, has information processing capabilities, and can display information using AR technology.

[0955] 2. Terminal:

[0956] It works in conjunction with smart glasses to record the start time and progress of the user's learning materials and notes, and is responsible for communicating with the server.

[0957] 3. Server:

[0958] It receives the user's progress in studying materials and notes, calculates the user's study progress and concentration, retrieves meal recommendations from a database, and acts as an interactive assistant to respond to the user's requests and questions.

[0959] 4. Database:

[0960] The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals.

[0961] 5.AR technology:

[0962] It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment.

[0963] By combining these elements, it is possible to create a system that suggests recommended meals based on the user's study progress and level of concentration.

[0964] The process flow will be explained below.

[0965] Step 1: The user views teaching materials and notes through the smart glasses.

[0966] The smart glasses recognize the study materials and notes the user has at hand.

[0967] Step 2: The device records the start time and progress of the user's materials and notes.

[0968] The device records information such as the time when the user began using the materials or notes, the time elapsed, and the number of pages reached.

[0969] Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration.

[0970] The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information.

[0971] Step 4: The server retrieves from the database recommended meals based on the student's study progress and concentration level.

[0972] The server calculates the progress and concentration of the study and then calculates the related information registered in the database.

[0973] For example, if you are making good progress in your studies, you might choose a meal that will help you concentrate.

[0974] Step 5: The server sends the recommended meals to the device.

[0975] The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake.

[0976] Step 6: The device uses the smart glasses' AR technology to display meal recommendations.

[0977] The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses.

[0978] These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates the progress and concentration of the study, obtains recommended meals, and the device displays them using AR technology.

[0979] Example 1

[0980] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[0981] Conventional learning management systems did not adequately suggest appropriate meals according to the user's study progress and concentration level. In addition, they lacked a means to present the user's study status in an easy-to-understand manner by linking it to the real world. This made it difficult for users to continue studying effectively and maintain maximum concentration.

[0982] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0983] In this invention, the server includes a means for recognizing teaching materials or notes, a means for recording a start time and a progress of the teaching materials or notes, a means for calculating a user's progress or concentration on studying based on the recorded start time and progress, a means for acquiring recommended meals based on the calculated progress or concentration on studying of the user, and a means for displaying the recommended meals using augmented reality technology. This makes it possible to suggest appropriate meals based on the user's progress and concentration on studying, and to provide the user with intuitive and visual meal information by using AR technology.

[0984] "Teaching materials or notes" refers to all materials such as books, handouts, electronic documents, etc. that a user uses for study purposes.

[0985] "Means of recognition" refers to equipment that has the ability to acquire and analyze visual information using input devices such as cameras and sensors.

[0986] "Start time" refers to time information at which the use of the teaching material or notes began.

[0987] "Progress" refers to information such as the degree of progress a user makes as they progress through their studies and the number of pages completed.

[0988] "Means of recording" refers to storage and logging functions for saving acquired data and making it available for later reference.

[0989] "Calculation means" refers to an algorithm or processor that uses collected data to calculate a specific numerical value or indicator (e.g., study progress or concentration).

[0990] A "database" refers to a system that systematically stores and manages large amounts of information and enables specific data to be searched and retrieved as needed.

[0991] "Means for obtaining recommended meals" refers to a system or process for retrieving appropriate meal information from a database based on calculated study progress and concentration.

[0992] "Augmented reality technology" refers to a technology that uses AR (Augmented Reality) technology to overlay digital information on the real world.

[0993] "Means of displaying using AR technology" refers to means of visually presenting virtual information superimposed on the real environment using devices such as smart glasses or headsets.

[0994] An "interactive advisor" refers to an artificial intelligence or dialogue system that responds to a user's questions or requests and provides appropriate responses.

[0995] This system combines smart glasses, terminals, servers, databases, and augmented reality technology (AR technology) to effectively support users' learning activities.

[0996] Hardware and Software Used

[0997] 1. Smart glasses:

[0998] In this system, users use smart glasses to obtain information about teaching materials and notes. The smart glasses are equipped with cameras and sensors and have the ability to recognize the content of teaching materials. For example, devices such as "Microsoft HoloLens" can be used.

[0999] 2. Terminal:

[1000] The devices include PCs, tablets, and smartphones. These devices have applications installed that receive the data sent from the smart glasses and record the start time and progress. Communication is via Bluetooth, Wi-Fi, etc.

[1001] 3. Server:

[1002] The server functions as a cloud server or a local server and processes data to calculate the user's learning progress and concentration. For example, a Linux server, AWS, Google Cloud, etc. can be used.

[1003] 4. Database:

[1004] The database accessed from the server stores appropriate meal information according to the student's progress in learning and concentration. MySQL, PostgreSQL, or other database management systems can be used.

[1005] 5. Augmented Reality Technology (AR Technology):

[1006] It is used to visually present dietary information to users through smart glasses or a headset, and can overlay digital data onto the user's field of vision.

[1007] Specific operation of the system

[1008] First, the user puts on the smart glasses, turns them on and opens the textbook. The cover and page contents of the textbook are recognized by the smart glasses' camera, and information such as "Mathematics Chapter 3: Linear Algebra" is visually displayed.

[1009] The device receives data from the smart glasses and records the start time of using the learning materials and the progress. This data is sent to the server at regular intervals. The server analyzes the received information and calculates the user's study progress and concentration level. For example, it can give a result such as "You progressed through 10 pages in one hour. Your concentration level is high."

[1010] Next, the server accesses the database to obtain recommended meals according to the calculated concentration level. For example, "citrus fruit juice" is selected as a "meal recommended for when the concentration level is high."

[1011] Finally, the meal information is sent to the smart glasses and is displayed overlaid on the user's field of vision using augmented reality technology. The information "Recommended meal: Citrus fruit juice" is displayed in the user's field of vision, making it easier for the user to understand intuitively.

[1012] Other Examples

[1013] When a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[1014] Examples of prompt statements

[1015] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[1016] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1017] Step 1:

[1018] The user wears the smart glasses and recognizes the educational material.

[1019] The user puts on the smart glasses and turns them on. This action activates the smart glasses' camera, which captures the study materials and notes in the user's field of view. Specifically, when the user opens a mathematics textbook, the smart glasses' camera recognizes the cover and page contents of the textbook, and obtains information such as "Mathematics Chapter 3: Linear Algebra." The recognized information is processed within the smart glasses, and the contents of the study materials are analyzed.

[1020] Input: Study material or notes

[1021] Output: Information about the recognized material or notes (e.g. "Mathematics Chapter 3: Linear Algebra")

[1022] Step 2:

[1023] The device works in conjunction with smart glasses to receive data and record the start time and progress.

[1024] The device receives data from the smart glasses via Bluetooth or Wi-Fi. The received information includes the content of the learning materials and the time when the user started studying. The device records this information and saves it as a log. For example, the device records the time when the user started studying, and then records the progress as the user advances through the pages.

[1025] Input: Start time and content of the material sent from the smart glasses

[1026] Output: Start time and progress log

[1027] Step 3:

[1028] The device sends the recorded data to the server

[1029] At regular intervals, the device sends the recorded start time and progress data to the server. Communication is via the Internet. The sent data is stored in the server's database. For example, data such as "Start time: 10:00, Progress: 5 pages progressed" is sent to the server every hour.

[1030] Input: Data recorded on the terminal

[1031] Output: Data sent to the server

[1032] Step 4:

[1033] The server calculates the user's progress and concentration in studying.

[1034] The server calculates the user's study progress and concentration level based on the received data. Progress is calculated based on the elapsed time and the number of pages progressed, and concentration level is evaluated using an algorithm that corresponds to that. For example, it analyzes "start time: 10:00, current time: 11:00, progress: 10 pages" and determines that "the user's concentration level is high."

[1035] Input: Start time and progress data sent to the server

[1036] Output: Evaluation results of the user's study progress and concentration

[1037] Step 5:

[1038] The server selects recommended meals from the database.

[1039] The server then uses the calculated progress and concentration level to determine the optimal meal recommendation from the food information in the database. For example, if the concentration level is high, a relaxing citrus fruit juice is recommended.

[1040] Input: User's study progress and concentration evaluation results

[1041] Output: Meal recommendations retrieved from the database

[1042] Step 6:

[1043] Smart glasses use AR technology to display meal recommendations

[1044] The recommended food information sent from the server is transferred to the smart glasses. The smart glasses receive this information and use AR technology to display it as digital information in the user's field of vision. The information "Recommended food: Citrus fruit juice" appears in the user's field of vision.

[1045] Input: Recommended meal information sent from the server

[1046] Output: Display of recommended meal information using AR technology

[1047] Other Examples

[1048] For example, if a user begins studying a physics textbook at home, they put on the smart glasses and open the textbook. The smart glasses recognize the information in the textbook and display "Physics Chapter 2: Motion and Forces." As the user continues studying, the device records the progress and sends it to the server. The server analyzes the progress and determines that the "level of concentration is medium." The server then retrieves "banana smoothie" from the database as a "recommended meal for when concentration is medium" and sends the information to the smart glasses. "Recommended meal: banana smoothie" is displayed in AR in the user's field of vision.

[1049] Examples of prompt statements

[1050] "If a user is studying physics, please analyze their progress and concentration and suggest recommended meals."

[1051] (Application example 1)

[1052] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1053] Conventional study support systems and purchasing support systems have difficulty in providing appropriate meal and purchasing suggestions in real time according to the user's study progress and concentration level, and are particularly lacking in visual support using AR technology. This makes it difficult for users to maximize their study efficiency and select optimal products. Therefore, the present invention aims to provide a system that provides integrated study support and purchasing support for users, thereby improving the user's lifestyle.

[1054] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1055] In this invention, the server includes a means for recognizing the teaching materials or notebooks held by the user, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's progress or concentration in studying based on the recorded start time and progress, a means for acquiring recommended meals from a database that records the progress or concentration in studying and meals in association with each other based on the calculated progress or concentration in studying, a means for displaying the recommended meals using AR technology, a means for recognizing products in the user's field of view and acquiring detailed information about the products, a means for generating optimal purchase suggestions based on past purchase history and preference information, and a means for displaying the optimal purchase suggestions using AR technology. This allows the user to continue studying efficiently while receiving optimal meal and product purchase suggestions.

[1056] "User" refers to an individual who uses the system to study through learning materials and notes.

[1057] "Teaching materials" refers to study materials such as textbooks and reference books used by users for studying.

[1058] A "notebook" refers to a notepad or writing implement that a user uses when studying.

[1059] "Start time" refers to the time when the user begins using the teaching materials or notes.

[1060] "Progress" refers to how far a user has progressed with respect to study materials or notes, or how far along the learning process is.

[1061] "Study progress" refers to information indicating how much progress the user has made in the course of studying.

[1062] "Level of concentration" refers to the degree to which the user is concentrating on studying.

[1063] The term "database" refers to a collection of information that holds information regarding a user's learning progress and concentration level, as well as optimal dietary information corresponding thereto.

[1064] "Recommended meals" refers to suggestions for nutritionally balanced meals selected based on the user's study progress and level of concentration.

[1065] "AR technology" stands for augmented reality technology, and refers to the technology that overlays digital information on the actual field of vision.

[1066] A "product" refers to a purchase object that is visually recognized by a user.

[1067] "Purchase suggestions" refer to optimal purchasing options provided based on a user's past purchasing history and preference information.

[1068] A "cloud server" refers to a group of remote servers that host data and applications over the Internet.

[1069] In this invention, a system is realized that utilizes smart glasses, a terminal, a server, and a database to manage a user's study progress and provide optimal meal and purchase suggestions. The system is implemented as follows.

[1070] The smart glasses are equipped with a camera module and AR technology, and an appropriate device such as Microsoft HoloLens 2 is used. The camera module can scan the teaching materials and notes used by the user to obtain related information. The start time of use and progress are recorded on a terminal (such as a smartphone) linked to the smart glasses.

[1071] The device transmits the obtained information of study materials and notes to a cloud server. The cloud server calculates the user's study progress and concentration level using a remote service such as a web application development platform or cloud computing service. Based on the calculation result, it retrieves optimal meal information from a MySQL database or a similar database and notifies the user.

[1072] Users can also use the smart glasses to recognize products in their field of vision and obtain detailed information. After scanning a product, the cloud server will generate optimal purchasing suggestions based on past purchase history and preference information. This allows users to receive visual suggestions in real time through AR technology.

[1073] For example, if a user feels hungry while studying, the smart glasses will show them the best meal to eat.Similarly, when a user is looking to buy something at a shopping mall, the smart glasses will show them detailed information about the product and the best purchase suggestions.

[1074] This allows users to study efficiently while quickly receiving the information and suggestions they need, improving their quality of life.

[1075] Examples of prompt statements

[1076] "Make the best purchase suggestions from scanned products based on your past purchase history and reviews."

[1077] The flow of the specific process in the application example 1 will be described with reference to FIG.

[1078] Step 1:

[1079] A user puts on the smart glasses and opens a teaching material or a notebook. The camera module of the smart glasses scans the teaching material or notebook and captures the image data.

[1080] Input: The study material or notes that are in the user's field of view

[1081] Output: Scanned image data

[1082] How it works: The camera in the smart glasses captures the learning material in the user's field of vision, and an image recognition algorithm analyzes it.

[1083] Step 2:

[1084] The device receives the scanned image data and records the time when the teaching materials and notes were used. The device then transmits this data to a cloud server.

[1085] Input: Scanned image data, start time of use

[1086] Output: Data sent to the cloud server

[1087] Specific operation: The application on the terminal receives image data and start time information from the smart glasses and transmits them to a cloud server via the Internet.

[1088] Step 3:

[1089] The server analyzes the received image data to identify the progress of the learning material. Based on the start time and progress, the server calculates the user's progress and concentration in studying.

[1090] Input: start time, progress data

[1091] Output: Study progress and concentration

[1092] Specific operation: A program on the server uses an image analysis algorithm to identify the progress of the learning material and calculates progress and concentration by comparing it with the start time.

[1093] Step 4:

[1094] The server retrieves appropriate meal information from the database based on the study progress and concentration data. After retrieving the meal information, it is sent to the terminal.

[1095] Input: Study progress and concentration data

[1096] Output: Meal information

[1097] Specific operation: Based on the progress and concentration of studies, the server executes a database query to obtain optimal meal information and sends it to the terminal.

[1098] Step 5:

[1099] The device receives the meal information from the server and transfers it to the smart glasses, where the meal information is displayed in the user's field of vision using AR technology.

[1100] Input: Meal information

[1101] Output: Meal information displayed in AR

[1102] Specific operation: The terminal application sends the received meal information to the smart glasses and displays the meal information overlaid on the glasses' display using AR.

[1103] Step 6:

[1104] The user views the product through the smart glasses and scans the product with the camera module.

[1105] Input:Product

[1106] Output: Scanned product data

[1107] Specific operation: The user scans products in view with the camera on the smart glasses and obtains product data.

[1108] Step 7:

[1109] The terminal receives the scanned product data and transmits it to a cloud server.

[1110] Input: Scanned product data

[1111] Output: Data sent to the cloud server

[1112] Specific operation: The terminal receives product data from the smart glasses and sends it to the cloud server.

[1113] Step 8:

[1114] The server analyzes the received product data and generates optimal purchasing suggestions based on past purchase history and preference information.

[1115] Input: Product data, past purchase history, preference information

[1116] Output: Purchase proposal

[1117] Specific operation: The server analyzes product data, extracts past purchase history and preference information from a database, and generates optimal purchasing suggestions based on this.

[1118] Step 9:

[1119] The server generates purchase suggestions and sends them to the terminal, which then transmits them to the smart glasses. The purchase suggestions are displayed in the user's field of vision using AR technology.

[1120] Input: Purchase Proposal

[1121] Output: Purchase suggestions displayed in AR

[1122] Specific operation: The terminal sends the purchasing suggestions received to the smart glasses, which then overlay the purchasing suggestions on the glasses' display using AR.

[1123] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1124] An embodiment for implementing the present invention includes the following elements. 1. Smart Glasses: It is a device that allows users to view teaching materials and notes, has information processing capabilities, and can display information using AR technology. 2. Terminal: It works in conjunction with smart glasses to record the start time and progress of the user's learning materials and notes, and is responsible for communicating with the server. 3. Server: The system receives the user's progress in studying materials and notes, calculates the user's progress and concentration, and obtains recommended meals from a database. It also combines an emotion engine that recognizes the user's emotions to obtain emotional information and make meal suggestions taking that information into account. 4. Database: The system stores information on recommended meals based on the progress and concentration of studies, and the server refers to this information to select appropriate meals. 5. Emotion Engine: This is an engine for recognizing the user's emotions, and obtains emotional information from the user's facial expressions, tone of voice, etc. 6.AR technology: It is used to display meal recommendations through smart glasses, which visually presents meal information to users by overlaying digital information on the real-world environment. By combining these elements, it is possible to realize a system that can obtain the user's progress in studying materials and notes, as well as emotional information, and make more appropriate meal suggestions based on the user's study progress, level of concentration, and emotions.

[1125] The process flow will be explained below.

[1126] Step 1: The user views teaching materials and notes through the smart glasses. Users wear smart glasses and can view study materials and notes at their fingertips. Step 2: The device records the start time and progress of the user's materials and notes. The device records information such as the time when the user started working on the material or taking notes, the time elapsed, and the number of pages reached. Step 3: The server receives the user's study materials and note progress and calculates their study progress and concentration. The server receives the user's study materials and progress in notes sent from the device, and calculates the user's progress and concentration level based on that information. Step 4: The server obtains the user's emotion information using the emotion engine. The server combines an emotion engine to obtain the user's emotion information, recognizing emotions from the user's facial expressions and tone of voice, and using them for subsequent processing. Step 5: The server obtains meal recommendations based on study progress, concentration level, and emotional information. The server searches the database for relevant meal information based on the calculated study progress, concentration level, and emotional information. If the study progress is high and positive emotions are recognized, a meal that increases energy may be selected. Step 6: The server sends the recommended food information to the terminal. The server then sends recommended meal information retrieved from the database to the device, including the type and content of the meal, as well as the timing of intake. Step 7: The device uses the smart glasses' AR technology to display meal recommendations. The device receives the recommended meal information and displays it using the AR technology of the smart glasses. The meals are displayed in a separate location from the teaching materials and notes, and the user can check them through the smart glasses. These are the processing steps of the program. The system operates in the following order: the user views study materials and notes, the device records the information, the server calculates study progress, concentration level, and emotional information, obtains recommended meals, and the device displays them using AR technology.

[1127] Example 2

[1128] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[1129] Conventional systems have difficulty in accurately grasping the user's progress and concentration in studying, and are unable to provide appropriate meal suggestions that take into account the user's feelings during the study process. Furthermore, there is a lack of means to effectively display the acquired meal information to the user, so a system that supports the user's study efficiency and health management is desired.

[1130] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user and the user's emotional information, a means for displaying the recommended meals using AR technology, and a means for using an emotion engine that acquires the user's emotional information. This makes it possible to accurately grasp the user's study progress and concentration level and to propose appropriate meals that take into account the user's emotional state. In addition, by visually presenting the acquired meal information to the user, the user's study efficiency can be improved and health management can be supported.

[1131] A "user" is someone who uses this system to view teaching materials and notes and study.

[1132] "Teaching materials" or "notes" is a general term for books, writing paper, digital texts, etc. that users use for studying.

[1133] "Means of recognition" refers to technology that uses a device such as smart glasses to visually identify teaching materials and notes held by the user and acquire that data.

[1134] "Start time" refers to the time when the user starts using the teaching material or the notes.

[1135] "Progress" is information indicating how far the user has progressed through the learning material or notes, and includes, for example, the number of pages progressed and the elapsed time.

[1136] "Means for recording" refers to technology or devices that record the time when the user started studying and their progress as a log.

[1137] The "means for calculating" refers to an algorithm or processing system for calculating the user's study progress and concentration level based on the recorded data.

[1138] "Emotion information" is data that indicates the user's emotional state as recognized from their facial expressions and tone of voice.

[1139] An "emotion engine" is software or a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[1140] The "database" is a data storage system that records recommended meal information according to study progress and concentration level, and makes this information searchable and acquirable.

[1141] "Recommended meals" refers to meal menus suggested based on the user's study progress, concentration level, and emotional state.

[1142] "AR technology" is a technology that overlays digital information onto the real world, and is a means of visually presenting food information through smart glasses.

[1143] "Means of acquisition" refers to technology or programs for searching and retrieving the necessary information from the database.

[1144] As an embodiment of the present invention, a system is constructed that combines the following elements to provide appropriate meal suggestions based on a user's study progress and concentration level.

[1145] 1. Hardware and Software Used

[1146] Smart glasses: A device that allows users to view study materials and notes, and displays information using AR technology. It has information processing capabilities, a camera, and a display.

[1147] Terminal: Works with smart glasses to record the start time and progress of the user's learning materials and notes, and communicates with the server. This can be a smartphone or tablet.

[1148] Server: A device that calculates study progress and concentration, and makes meal suggestions based on emotional information. It also handles database access.

[1149] Database: A database that holds recommended meal information based on study progress and concentration level.

[1150] Emotion engine: An engine for recognizing user emotions. Software that obtains emotional information from the user's facial expressions, tone of voice, etc.

[1151] 2. Program Processing

[1152] The device receives data from the smart glasses and records the user's study start time and progress. This information is sent to the server, which calculates the user's study progress and concentration level based on the data. In addition, the emotion engine is used to obtain the user's emotion information.

[1153] The server retrieves appropriate meal suggestions from the database based on the progress data and emotion information. The smart glasses visually present the meal information received from the server to the user using AR technology.

[1154] 3. Specific Examples

[1155] Example 1: A student is studying at home

[1156] A student (user) is wearing smart glasses and solving a math problem set. The device works with the smart glasses to record the start time of studying and the progress. This data is sent to the server. The server checks that the student is making good progress and concentrating, and detects satisfaction from the student's facial expression using an emotion engine. Based on this information, the server retrieves healthy snack recommendations (e.g., nuts and yogurt) from the database and displays them to the student through the smart glasses.

[1157] Example 2: When a student is studying in a library

[1158] A student (user) is reading a chemistry textbook using smart glasses. The device sends the start time and progress of studying to the server. The server then detects that progress is slow and uses an emotion engine to confirm that the student is feeling tired or stressed. Based on this, it retrieves recommendations from the database for foods that have a relaxing effect (e.g., bananas and chocolate) and visually presents them through the smart glasses.

[1159] 4. Examples of prompts

[1160] "Record students as they use smart glasses to solve math problems, then analyze their progress and emotions to recommend healthy snacks."

[1161] This allows a concrete understanding of how the system works and what benefits it provides to the user.

[1162] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1163] Step 1: Power up the smart glasses and have the user put them on

[1164] The user activates and wears the smart glasses. The smart glasses activate the camera and turn on the display. Once the smart glasses are ready, they start capturing the user's viewing environment in real time. Inputs include the user's action (putting on the glasses) and the device state (activation). The output is a signal that activation is complete.

[1165] Step 2: Start viewing the materials / notes

[1166] The user opens a learning material or a note and starts viewing it. The smart glasses capture live video through the camera and analyze it to recognize which learning material or page the user is viewing. The input includes visual data (camera video) and the output is the start time of the recognized learning material / note.

[1167] Step 3: Record your start time and progress

[1168] The terminal receives the data sent from the smart glasses and records the start time of studying. It also continuously logs the progress such as page number and answer time every time the user turns a page. The input includes the start time and progress (page number, answer time), and the output is the recorded log data.

[1169] Step 4: Sending information to the server

[1170] The terminal periodically transmits the recorded data to the server in the form of packets. This data includes the start time, progress, and log information. The input includes the log data, and the output is a transmission completion notification to the server.

[1171] Step 5: Calculating your study progress and concentration

[1172] The server analyzes the received data and uses a specific algorithm to calculate the user's progress and concentration in studying. For example, the progress is evaluated based on the page turning speed, answering speed, etc. The input includes the start time, progress data, and log information, and the output is the calculated evaluation result of the progress and concentration in studying.

[1173] Step 6: Obtaining emotion information

[1174] The server obtains the user's emotion information using an emotion engine. The emotion engine analyzes the user's facial expressions and tone of voice captured by the smart glasses. The input includes visual and audio data, and the output is the analyzed emotion information.

[1175] Step 7: Get food recommendations

[1176] The server queries the database based on study progress, concentration, and emotional information to obtain appropriate meal suggestions. The database stores meal information according to rules such as "light meals when concentration is high, and nutritious meals when concentration is low." The input includes the progress and concentration evaluation results and emotional information, and the output is recommended meal information.

[1177] Step 8: View your meal information

[1178] The server transmits the acquired meal information to the smart glasses, which receive it and display the meal information in the user's field of view using AR technology. The input includes the meal information, and the output is the meal information displayed in the user's field of view.

[1179] Explanation including specific actions

[1180] By showing in detail how the terminal, server, and user interact with each other and how data flows at each step, the operation of the entire system can be understood in detail.

[1181] (Application example 2)

[1182] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal".

[1183] Conventional study support systems have difficulty in making appropriate meal suggestions based on the user's study progress and concentration level, which reduces the sustained effect of studying. In addition, there is also a problem that the user's satisfaction is low because the system makes uniform meal suggestions without considering the user's feelings. For this reason, there is a demand for a system that can maximize the user's study efficiency and suggest healthy meals at the right time.

[1184] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for recognizing the teaching materials or notebooks in the user's possession, a means for recording the start time when the teaching materials or notebooks are started to be used and the progress of the teaching materials or notebooks, a means for calculating the user's study progress or concentration level based on the recorded start time and the progress level, a means for acquiring recommended meals from a database that associates and records the study progress or concentration level with meals based on the calculated study progress or concentration level of the user, a means for displaying the recommended meals using AR technology, a means including an emotion engine that recognizes the user's emotions, and a means for suggesting meals based on the emotion information. This makes it possible to make appropriate and individualized meal suggestions according to the user's study progress and emotional state.

[1185] "Teaching materials or notes" refers to physical study materials, such as books, documents, or notebooks, that a user uses in a study activity.

[1186] "Start time" refers to the time when the study material or notes begin to be used for studying.

[1187] "Progress" is information that indicates the progress of a user's learning in the teaching materials or notebooks they are using, and specifically includes the elapsed time, the number of pages progressed, and the like.

[1188] "Study progress or concentration" indicates the progress of the user's learning activities and the degree of concentration on learning, and is an index calculated based on the start time and progress status.

[1189] "Database" refers to an information management system that accumulates recorded data correlating study progress or concentration with meals.

[1190] "Recommended meals" refers to optimal meals selected based on a database, taking into consideration the user's study progress, concentration level, and emotional information.

[1191] "AR technology" refers to a technology that presents information visually to users by overlaying digital information onto a real-world environment.

[1192] An "emotion engine" refers to a system for acquiring and analyzing emotional information from a user's facial expressions, tone of voice, etc.

[1193] The "means for making meal suggestions" refers to a system having a function for suggesting optimal meals to a user based on emotional information and study progress or concentration level.

[1194] This invention provides a system that recognizes study materials or notes held by a user, calculates the progress and concentration of the user's studies, and uses AR technology to suggest appropriate meals. A specific embodiment for implementing this system is described below.

[1195] Hardware Configuration

[1196] 1. Smart glasses: A device that allows users to view study materials and notes and monitor their progress in real time. It also has the ability to display meal recommendations using AR technology.

[1197] 2. Terminal: A portable device that works in conjunction with the smart glasses to record the user's learning materials, notes, start time, progress, and communicate with the server.

[1198] 3. Server: A central processing unit that suggests optimal meals based on study progress, concentration, and emotional information.

[1199] 4. Database: Stores recorded information relating study progress and concentration to meals.

[1200] 5. Emotion engine: A software engine that acquires and analyzes the user's emotional information.

[1201] Software Configuration

[1202] 1. Recording study progress and concentration: Using smart glasses and a terminal, the start time and progress are recorded and sent to a server.

[1203] 2. Analysis of study progress and emotion: The server analyzes the received study progress and emotion information and calculates the user's current concentration level.

[1204] 3. Meal Suggestion: The server retrieves meal recommendations from the database based on study progress, concentration level and emotion information, and sends them to the smart glasses.

[1205] 4. AR display: The smart glasses visually display the acquired food information using AR technology.

[1206] 5. Order Food: Users can order suggested meals for delivery through the smart glasses.

[1207] Examples

[1208] For example, let's imagine a situation where a university student is studying. The smart glasses monitor the start time and progress of studying in real time and send it to the server via the terminal. The server calculates the concentration level based on that, and furthermore, obtains emotional information from the user's facial expressions and voice using an emotion engine.

[1209] The server comprehensively analyzes this information, and if it determines that the user is tired, it retrieves from the database recommended meals such as a "refreshing fruit smoothie" or a "nutritious salad."

[1210] The smart glasses then use AR technology to display these recommended meals in the user's field of view, allowing the user to easily order meals for delivery through their device.

[1211] Examples of prompt statements

[1212] "Provide real-time healthy meal recommendations based on the user's study progress and sentiment data."

[1213] This format makes it possible to improve the user's study efficiency and suggest healthy meals at appropriate times.

[1214] The flow of the specific process in the application example 2 will be described with reference to FIG.

[1215] Step 1:

[1216] The smart glasses recognize the learning materials or notes held by the user. The smart glasses use a camera to capture visual information of the learning materials or notes. This information is sent to the terminal, where the learning materials or notes are identified by a recognition algorithm. The input is the visual information, and the output is the recognition result of the learning materials or notes.

[1217] Step 2:

[1218] The start time of the recognized teaching material or note is recorded. The terminal records the current time based on this information and sets it as the start time. The input is the recognition result and the current time, and the output is the start time.

[1219] Step 3:

[1220] Recording progress. The smart glasses monitor how the user views the learning materials and notes, and send the page number and learning progress to the terminal. The terminal records this and saves it as progress data. The input is the user's learning activity data, and the output is progress data.

[1221] Step 4:

[1222] Calculates the user's progress or concentration in studying. The server calculates the degree of progress and concentration in studying based on the start time and progress data sent from the terminal. For example, the number of pages progressed and the degree of understanding of the learning content are used as evaluation indicators. The input is the start time and progress data, and the output is study progress or concentration data.

[1223] Step 5:

[1224] Acquire emotional information. The device collects the user's facial expressions and tone of voice using the camera and microphone of the smart glasses and sends them to the emotion engine. The emotion engine analyzes this data and recognizes the user's emotional state. The input is facial expression and voice data, and the output is emotional information.

[1225] Step 6:

[1226] Obtain recommended meals. The server searches the database based on study progress or concentration data and emotion information, and selects the most suitable meal for the user. The input is study progress or concentration data and emotion information, and the output is recommended meal information.

[1227] Step 7:

[1228] Recommended meals are displayed using AR technology. The smart glasses display recommended meal information as digital information overlaid on the user's field of view based on the recommended meal information sent from the server. The input is the recommended meal information, and the output is the AR meal information displayed in the field of view.

[1229] Step 8:

[1230] Ordering a meal. The user selects from the recommended meals presented through the smart glasses and places an order with the delivery service through the terminal. The input is the user's selection data, and the output is order confirmation information.

[1231] Example: If a user is studying for an exam at university, the process from step 1 to step 5 recognizes the user's progress in studying and the emotion of "fatigue." The server selects "an energy cereal bar" and "a refreshing herbal tea" in step 6 and displays them in AR in step 7. The user can select these items in step 8 and place a delivery order.

[1232] In this way, through a series of processing steps, a system is realized that takes into account the user's learning situation and emotions and makes optimal meal suggestions in real time.

[1233] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1234] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1235] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the robot 414.

[1236] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[1237] FIG. 9 is a diagram showing an emotion map 400 on 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 emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1238] These emotions are distributed in the three o'clock direction of emotion map 400 and usually fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1239] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out on emotion map 400 you go, the more visible the emotions become (the more they are expressed in behavior).

[1240] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[1241] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this 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 positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[1242] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in Fig. 10. Fig. 10 shows an example in which multiple emotions, "relief," "calm," and "encouraging," have similar emotion values.

[1243] Although the system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, the system according to the present disclosure is not necessarily implemented in a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program that runs on a personal computer, or an application that runs on a smartphone or the like. The method according to the present disclosure may be provided to a user in the form of SaaS (Software as a Service).

[1244] In the above embodiment, an example is given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the 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 input data.

[1245] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable computer-readable non-transitory storage medium such as a Universal Serial Bus (USB) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1246] In addition, 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 upon request from the data processing device 12.

[1247] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1248] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing the specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[1249] The hardware resource that executes the specific process may be one of these various processors, or may be 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). Also, the hardware resource that executes the specific process may be a single processor.

[1250] As an example of a configuration using one processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a configuration using a processor that realizes the functions of the entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1251] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[1252] The above description and illustrations are detailed descriptions of the parts related to the technology of the present disclosure, and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, function, action, and effect is an example of the configuration, function, action, and effect of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above description and illustrations, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above description and illustrations omit explanations of technical common sense that do not require explanation in order to enable the implementation of the technology of the present disclosure.

[1253] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

[1254] The following is further disclosed regarding the above embodiment.

[1255] (Claim 1) means for recognizing teaching materials or notes in the user's possession; a means for recording a start time when the teaching material or the notebook is started to be used and a progress status of the teaching material or the notebook; A means for calculating a progress or concentration of a user's study based on the recorded start time and the progress status; A means for acquiring recommended meals from a database that records the progress or concentration of the user's study in association with meals, based on the calculated progress or concentration of the user's study; A means for displaying the recommended meals using AR technology; A system including: (Claim 2) In the system of claim 1, a means for calculating the progress status based on the elapsed time from the start time and the number of pages progressed in the teaching material or the notebook; A system including: (Claim 3) In the system according to claim 1 or 2, means for fulfilling the user's selected meal order from the smart glasses; means for acting as an interactive assistant to respond to dietary requests and questions of the user; A system including: The above is an example of a draft of patent claims. These claims precisely define the technical scope of the system that displays recommended meals according to the user's study progress and concentration level, and serve as the basis for patent examination and assertion. (Claim 4) The system according to claim 1 , wherein the system suggests recommended meals based on emotion information, the emotion information being obtained based on an emotion engine that recognizes the emotion of the user. (Claim 5) The system according to claim 1, wherein emotion information is obtained based on an emotion engine that recognizes the emotion of the user, the emotion information being information on emotions corresponding to progress and concentration of studying.

[1256] "Example 1" (Claim 1) A means for recognizing teaching materials or notes; a means for recording a start time when the teaching material or the notebook is started to be used and a progress status of the teaching material or the notebook; A means for calculating a progress or concentration of a user's study based on the recorded start time and the progress status; A means for acquiring recommended meals from a database that records the progress or concentration of the user's study in association with meals, based on the calculated progress or concentration of the user's study; means for displaying said meal recommendations using augmented reality technology; A system including: (Claim 2) 2. The system according to claim 1, further comprising means for calculating said progress based on the time elapsed from said start time and the number of pages progressed in said teaching material or said notes. (Claim 3) means for fulfilling the user's selected meal order from the eyewear; 10. The system of claim 1, further comprising means for acting as an interactive advisor to respond to dining requests and questions of the user.

[1257] "Application example 1" (Claim 1) means for recognizing teaching materials or notes in the user's possession; a means for recording a start time when the teaching material or the notebook is started to be used and a progress status of the teaching material or the notebook; A means for calculating a progress or concentration of a user's study based on the recorded start time and the progress status; A means for acquiring recommended meals from a database that records the progress or concentration of the user's study in association with meals, based on the calculated progress or concentration of the user's study; A means for displaying the recommended meals using AR technology; A means for recognizing products in the user's field of view and obtaining detailed product information; A means for generating optimal purchasing proposals based on past purchase history and preference information; A means for displaying the optimal purchasing proposal using AR technology; A system including: (Claim 2) a means for calculating the progress status based on the elapsed time from the start time and the number of pages progressed in the teaching material or the notebook; means for identifying items within the user's field of view and scanning bar codes or QR codes on the items; 2. The system of claim 1, comprising: (Claim 3) means for fulfilling the user's selected meal order from the smart glasses; means for acting as an interactive assistant to respond to dietary requests and questions of the user; A means for communicating with a cloud server, acquiring product information, and generating optimal proposals by referring to a user profile; 2. The system of claim 1, comprising:

[1258] "Example 2 of combining emotion engines" (Claim 1) means for recognizing teaching materials or notes in the user's possession; a means for recording a start time when the teaching material or the notebook is started to be used and a progress status of the teaching material or the notebook; A means for calculating a progress or concentration of a user's study based on the recorded start time and the progress status; A means for acquiring recommended meals from a database that records the progress or concentration of studying and meals in association with each other based on the calculated progress or concentration of studying of the user and emotional information of the user; A means for displaying the recommended meals using AR technology; A means for using an emotion engine to obtain emotion information of a user; A system including: (Claim 2) a means for calculating the progress status based on the elapsed time from the start time, the number of pages progressed in the teaching material or the notebook, and the user's answer time; 2. The system of claim 1, comprising: (Claim 3) means for fulfilling the user's selected meal order from the smart glasses; means for acting as an interactive assistant to respond to dietary requests and questions of the user; 2. The system of claim 1, comprising:

[1259] "Application example 2 when combining emotion engines" (Claim 1) means for recognizing teaching materials or notes in the user's possession; a means for recording a start time when the teaching material or the notebook is started to be used and a progress status of the teaching material or the notebook; A means for calculating a progress or concentration of a user's study based on the recorded start time and the progress status; A means for acquiring recommended meals from a database that records the progress or concentration of the user's study in association with meals, based on the calculated progress or concentration of the user's study; A means for displaying the recommended meals using AR technology; means including an emotion engine for recognizing an emotion of a user; A means for making meal suggestions based on the emotion information; A system including: (Claim 2) a means for calculating the progress status based on the elapsed time from the start time and the number of pages progressed in the teaching material or the notebook; means for optimizing meal suggestions using the user's emotion data recognized by the emotion engine; 2. The system of claim 1, comprising: (Claim 3) means for fulfilling the user's selected meal order from the smart glasses; means for acting as an interactive assistant to respond to dietary requests and questions of the user; 2. The system of claim 1, comprising: [Explanation of symbols]

[1260] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for identifying the learning tools at the user's disposal; means for recording a start time when the learning tool is started and a progress of the learning tool; A means for calculating at least one of the progress and concentration of the user's study based on the recorded start time and the progress status; A means for acquiring emotion information of the user using an emotion engine; A means for acquiring recommended meals from a database that records at least one of the user's calculated study progress and concentration level and meals in association with each other based on the user's emotion information and at least one of the user's calculated study progress and concentration level; A means for displaying the recommended meals using AR technology; A system including:

2. means for calculating the progress based on at least one of an elapsed time from the start time, a progressed page number of the learning tool, and a response time of the user; The system of claim 1 , comprising:

3. means for executing an order for the meal selected by the user from a wearable device; means for acting as an interactive assistant to respond to the user's dining requests and questions; The system of claim 1 , comprising:

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