System

Abstract

A system is provided.SOLUTION: A system, comprising: means for obtaining location information of a user using smart glasses and providing information based on the location information; means for obtaining a voice command of the user using a voice recognition module and updating the information based on the voice command; and means for monitoring a posture of the user using a posture sensor and notifying the user of an abnormal posture.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 an instruction sentence related to a description of 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Many users today rely on mobile devices such as smartphones and tablets to access information, but the frequent use of these devices can cause excessive strain on the eyes, neck, and shoulders. Information acquisition can also be complicated and inefficient. Furthermore, poor posture can have a significant impact on physical health. This invention aims to solve these problems, allowing users to access information more easily and reducing physical stress. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides a system including means for acquiring user location information using smart glasses and providing information based on the location information, means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands, and means for monitoring the user's posture using a posture sensor and notifying the user of posture abnormalities. This allows the user to easily access necessary information through the smart glasses and also reduces physical stress.

[0006] "Smart glasses" are devices that provide visual information when worn by the user and are equipped with built-in displays and sensors.

[0007] "Location Information" means data that indicates a user's current geographic location, obtained using GPS or other location-finding technology.

[0008] "Means for providing information" refers to a method for displaying or providing audio-based data (e.g., store information, sales information, etc.) to a user based on the user's location information.

[0009] A "voice recognition module" is a system or device that analyzes a user's voice input and converts it into text or commands.

[0010] A "voice command" refers to a voice command issued by a user to instruct a device to perform a specific operation or obtain information.

[0011] "Means for updating information" refers to a method for changing or acquiring new information to be provided based on a voice command.

[0012] A "posture sensor" is a sensor for detecting the user's posture and movement, and includes an accelerometer and a gyro sensor.

[0013] "Means for monitoring posture" refers to a method of constantly monitoring the user's current posture using a posture sensor.

[0014] "Means of notification" refers to a method of notifying the user of specific information visually or audibly. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 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. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 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. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 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] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single 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), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] 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.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] 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. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] 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.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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.

[0029] 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 (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" 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 process 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.

[0033] 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.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output 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.

[0035] Next, a description will be given of the specific processing performed 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 smart device 14 will be referred to as a "terminal."

[0036] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. Hereinafter, specific embodiments of this system will be described.

[0037] Initial Setup

[0038] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[0039] Information Acquisition and Distribution

[0040] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[0041] Voice control

[0042] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[0043] Posture correction feedback

[0044] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[0045] Specific operation examples

[0046] Initial Setup

[0047] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0048] python

[0049] setup_device("sato")

[0050] Output: "Ready"

[0051] Information Acquisition and Distribution

[0052] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0053] python

[0054] location = "shopping_mall"

[0055] info = fetch_information(location)

[0056] deliver_information_to_glasses("sato", info)

[0057] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0058] Voice control

[0059] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0060] python

[0061] process_voice_command("sato", "Tell me the latest offers")

[0062] Example output: "Today's special offer: 50% off on all footwear."

[0063] Posture correction feedback

[0064] If Sato's posture worsens, the smart glasses will provide feedback.

[0065] python

[0066] monitor_posture("sato")

[0067] Output (example): "Please correct your posture"

[0068] This system allows users to easily access the information they need through smart glasses while also reducing physical stress.

[0069] The processing flow will be explained below.

[0070] Initial Setup

[0071] Step 1:

[0072] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[0073] Step 2:

[0074] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[0075] Step 3:

[0076] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[0077] Step 4:

[0078] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[0079] Step 5:

[0080] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[0081] Information Acquisition and Distribution

[0082] Step 1:

[0083] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[0084] Step 2:

[0085] The location information acquired by the device (smart glasses) is sent to the server.

[0086] Step 3:

[0087] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[0088] Step 4:

[0089] The server sends the analysis results to the smart glasses.

[0090] Step 5:

[0091] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[0092] Voice control

[0093] Step 1:

[0094] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[0095] Step 2:

[0096] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[0097] Step 3:

[0098] The terminal (voice recognition module) converts the voice into text and analyzes it.

[0099] Step 4:

[0100] The device (smart glasses) sends the analysis results to the server.

[0101] Step 5:

[0102] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[0103] Step 6:

[0104] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[0105] Posture correction feedback

[0106] Step 1:

[0107] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[0108] Step 2:

[0109] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[0110] Example 1

[0111] 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 smart device 14 will be referred to as a "terminal."

[0112] In recent years, users have been seeking quick and easy access to information they need in their daily lives and work, while also reducing physical stress. Conventional information provision systems and devices require users to operate them manually, resulting in low convenience and making it difficult to obtain information and manage body posture, especially while on the move. Furthermore, voice control is insufficient, and feedback to users is limited. Therefore, there is a need for a system that can provide appropriate information based on the user's location information and perform advanced voice control and posture management.

[0113] 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.

[0114] In this invention, the server includes: means for acquiring user location information using a wearable device worn by the user and providing information based on the location information; means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands; means for monitoring the user's posture using a sensor and notifying the user of posture abnormalities; means for the server to receive the location information, analyze related information, and transmit the information to the wearable device; means for the wearable device to provide information using a display and provide feedback using voice output; and means for providing the user with necessary information and reducing physical stress by analyzing prompt sentences and providing appropriate information. This allows the user to quickly and easily obtain necessary information even while on the move, and enables advanced voice operation and posture management, thereby improving user convenience and health management.

[0115] A "wearable device" is an electronic device that is worn by the user and includes devices such as smart glasses and smart watches.

[0116] "Location information" is data indicating a user's current geographic location obtained using GPS or other location-determining means.

[0117] "Means for providing information" refers to a system configuration in which the wearable device has the function of displaying or notifying the user of relevant information based on the user's location information.

[0118] A "voice recognition module" is an electronic circuit or software program that captures the user's voice, analyzes it, and converts it into text data.

[0119] A "voice command" is a voice-based operation instruction, including verbal instructions or questions, that a user issues to a wearable device.

[0120] A "sensor" is a device for detecting the state of the user's body or the environment, and includes a gyro sensor, an accelerometer, and the like.

[0121] The "posture monitoring means" is a system configuration that uses sensors to detect the user's posture and movements and monitors changes and abnormalities in posture.

[0122] A "display" is a screen installed on a wearable device that displays visual information to the user.

[0123] "Audio output" is a function for providing information to the user by voice using a speaker or other audio playback device.

[0124] A "generative AI model" is an algorithm or program that uses artificial intelligence to analyze prompts and generate useful information for users.

[0125] A "prompt" is text data that is input into a generative AI model, and is the sentence or instruction that serves as the basis for generating relevant information through analysis.

[0126] This invention relates to a system that uses a wearable device to provide information to a user and further supports user convenience and health management through voice control and posture management. The details of this system are described below.

[0127] Initial Setup

[0128] First, the user puts on the wearable device and pairs it with their smartphone. This is done using a dedicated smartphone app. Through the app, the user performs initial setup such as Wi-Fi connection settings, consent to location sharing, and notification settings. Once the setup is complete, the device (wearable device) displays a "Ready" notification to the user. Visual notifications are provided on the display, and audio notifications are provided using audio output.

[0129] Information Acquisition and Distribution

[0130] When a user moves into a specific area, the terminal (wearable device) acquires the user's current location using the built-in GPS. The acquired location information is sent to a server, which analyzes relevant information based on the location information. The server then sends the analysis results back to the terminal, which then provides the information to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the wearable device's display. Audio output is also possible.

[0131] Voice control

[0132] A user can issue a voice command to the wearable device. For example, "Tell me the latest offers." The device's built-in microphone captures this voice and sends the voice data to the server. The server uses a generative AI model to analyze the voice data and derive appropriate information. This information is then sent back to the device and presented to the user. Specifically, it displays "Today's special offer: All shoes 50% off."

[0133] Posture correction feedback

[0134] The terminal (wearable device) is equipped with a gyro sensor and an accelerometer, which constantly monitor the user's posture. If the user's posture deteriorates, the terminal will notify the user by saying "Please correct your posture." This notification is conveyed to the user by displaying a message on the screen or by audio output.

[0135] Specific operation examples

[0136] Initial Setup

[0137] User "A" puts on the wearable device and pairs it with a smartphone.

[0138] text

[0139] User "A" displays the pairing screen using a smartphone app and completes the connection via Bluetooth.

[0140] Information Acquisition and Distribution

[0141] When user "A" enters a shopping mall, the wearable device acquires location information and retrieves and displays relevant store information from the server.

[0142] text

[0143] When user "A" enters a shopping mall, the wearable device displays "Today's Sale: 20% off all items."

[0144] Voice control

[0145] If user "A" wants to know information about a particular store, he or she can issue a voice command such as "Tell me the latest offers."

[0146] text

[0147] When user "A" says "Tell me the latest offers," the wearable device displays "Today's special offer: 50% off all shoes."

[0148] Posture correction feedback

[0149] If user "A"'s posture deteriorates, the wearable device provides feedback.

[0150] text

[0151] When user "A"'s posture deteriorates, the wearable device notifies him / her to "correct his / her posture."

[0152] This system allows users to easily obtain the information they need through a wearable device, and also allows them to manage their health through voice control and posture management.

[0153] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0154] Program processing steps

[0155] Initial Setup

[0156] Step 1:

[0157] The user turns on their smartphone and opens the dedicated app.

[0158] Input: Touch operation on smartphone

[0159] What happens: The user selects the settings option on the home screen of the smartphone app to initiate pairing mode on the wearable device.

[0160] Output: The app displays the Bluetooth pairing screen.

[0161] Step 2:

[0162] The user puts on the wearable device and pairs it with their smartphone.

[0163] Input: Bluetooth signal

[0164] Specific operation: Enable pairing mode on the wearable device and select the device from the device list displayed in the smartphone app.

[0165] Output: Pairing complete confirmation message

[0166] Step 3:

[0167] Users use the app to connect to Wi-Fi, consent to location sharing, and set notification preferences.

[0168] Input: Touch operation on the screen and required information (SSID, password, etc.)

[0169] What it does: The user selects Wi-Fi in the app's settings screen, enters the SSID and password, agrees to location sharing, and selects the type of notification.

[0170] Output: Notification of successful setup

[0171] Information Acquisition and Distribution

[0172] Step 1:

[0173] The user travels to a specific area.

[0174] Input: User's physical movement

[0175] Specific action: The user navigates to a specific area, such as a shopping mall.

[0176] Output: Wearable device acquires location information

[0177] Step 2:

[0178] The device uses its built-in GPS to determine its current location.

[0179] Input: GPS signal

[0180] Specific operation: The device uses the GPS module to determine its current location.

[0181] Output: Current location data

[0182] Step 3:

[0183] The terminal transmits the acquired location information to the server.

[0184] Input: Current location data

[0185] What it does: The device sends location information to a server via Wi-Fi or a mobile network.

[0186] Output: Receiving location information on the server side

[0187] Step 4:

[0188] The server analyzes the location information and identifies relevant information.

[0189] Input: Received location information

[0190] Specific operation: The server references the database based on the location information and extracts relevant special offers and sales information.

[0191] Output: Extracted relevant information

[0192] Step 5:

[0193] The server transmits the analyzed information to the terminal.

[0194] Input: Extracted relevant information

[0195] Specific operation: The server generates a packet to send the relevant information to the terminal and sends it over the network.

[0196] Output: Information received on the terminal

[0197] Step 6:

[0198] The terminal presents the received information to the user.

[0199] Input: Information received from the server

[0200] What it does: The device will display "Today's Sale: 20% off everything" and may also play a voice notification.

[0201] Output: Reward information presented to the user

[0202] Voice control

[0203] Step 1:

[0204] The user issues voice commands to the wearable device.

[0205] Input: Voice command (e.g. "Tell me the latest offers")

[0206] Specific action: The user speaks into the wearable device.

[0207] Output: Wearable device captures audio

[0208] Step 2:

[0209] The device's built-in microphone captures the audio and sends the audio data to the server.

[0210] Input: Audio data

[0211] Specific operation: The device's microphone records audio and sends the data to the server.

[0212] Output: Audio data received on the server side

[0213] Step 3:

[0214] The server analyzes the voice data and generates appropriate information.

[0215] Input: Received audio data

[0216] What it does: The server uses a generative AI model to convert speech to text, then analyzes the text to retrieve relevant information.

[0217] Output: Pertinent information as a result of the analysis

[0218] Step 4:

[0219] The server sends the analysis results to the terminal.

[0220] Input: Parsed information

[0221] Specific operation: The server packets the information and sends it to the terminal.

[0222] Output: Information received on the terminal

[0223] Step 5:

[0224] The terminal presents the information to the user.

[0225] Input: Analysis results received from the server

[0226] What it does: The device will display "Today's Special Offer: All Shoes 50% Off" and may also play a voice notification.

[0227] Output: Reward information presented to the user

[0228] Posture correction feedback

[0229] Step 1:

[0230] The device uses built-in sensors to monitor the user's posture.

[0231] Input: Sensor data (gyroscope, accelerometer, etc.)

[0232] Specific operation: The device monitors the user's posture in real time.

[0233] Output: Analyzed pose data

[0234] Step 2:

[0235] If the user's posture deteriorates, the device generates a warning.

[0236] Input: Parsed pose data

[0237] Specific operation: The device analyzes posture data and generates a warning if a threshold is exceeded.

[0238] Output: Warning message

[0239] Step 3:

[0240] The terminal notifies the user of the warning.

[0241] Input: warning message

[0242] Specific actions: The device will display "Please correct your posture" on the display and will also provide a voice notification if necessary.

[0243] Output: Posture correction notification presented to the user

[0244] (Application example 1)

[0245] 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."

[0246] In recent years, shopping has become increasingly difficult and physically stressful. Particularly in large commercial facilities, it can take a long time to find a product, or people often have to wander around searching for a specific item. In addition, in-store sales and offers change frequently, making it difficult to keep up with them. Furthermore, long wait times at the cash register can make shopping less enjoyable. To solve these issues and provide a more comfortable shopping experience, a system that provides real-time information using the user's location and voice commands is needed.

[0247] 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.

[0248] In this invention, the server includes a means for acquiring location information of the user using smart glasses and providing directions to a specific product, a means for acquiring real-time offer information in the store and providing it to the user, and a means for displaying the congestion status of cash registers in real time and guiding the user to the most suitable cash register. This allows the user to easily check product information and sale information through the smart glasses, enabling comfortable and efficient shopping.

[0249] "Smart glasses" are head-mounted display devices worn by users that display information and acquire data using sensors.

[0250] "Location information" is data used to identify a user's current location using GPS or other positioning systems.

[0251] A "voice recognition module" is a system that analyzes the user's voice and converts it into text or commands.

[0252] A "posture sensor" is a device that uses a gyro sensor, accelerometer, or the like to detect the posture of a user's body.

[0253] "Directions" are a means of providing directions and routes for a user to get to a particular location.

[0254] "Real-time offer information" is the latest information about current sales and special offers.

[0255] "Cashier congestion status" is real-time data on waiting times and number of people at cash registers in stores.

[0256] A "server" is a central information processing device that receives and analyzes user location information, voice commands, and the like to provide information.

[0257] A "voice command" is an instruction or command that a user inputs using voice.

[0258] A "display" is a screen or projection device for displaying visual information.

[0259] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. A specific embodiment of this system will be described below.

[0260] System configuration

[0261] The system consists of smart glasses, a smartphone, a server, a voice recognition module, and a posture sensor.

[0262] Smart glasses: Devices worn by the user that provide visual displays and audio feedback.

[0263] Smartphone: A device that pairs with smart glasses to connect via Wi-Fi and share location information.

[0264] Server: A central information processing device that analyzes location information and voice commands and provides related information.

[0265] Speech Recognition Module: A system that recognizes the user's voice commands and converts them into text or instructions.

[0266] Posture sensor: A device for monitoring the user's posture and detecting abnormalities in posture.

[0267] Initial Setup

[0268] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a dedicated smartphone app. Once the user has completed the Wi-Fi connection, location sharing, and notification settings, the smart glasses will display a notification that they are ready.

[0269] Information Acquisition and Distribution

[0270] When a user moves to a specific area, the smart glasses use GPS to obtain location information. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the smart glasses and provided to the user. For example, when a user enters a store, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses.

[0271] Directions function

[0272] When a user selects a specific product by voice, the smart glasses provide directions to the specific product. The server calculates the optimal route based on the user's location information and displays the route information in real time.

[0273] Real-time offer notifications

[0274] When a user approaches a specific product shelf while walking around the store, the smart glasses will display a pop-up with information about discounts and special offers for that product. The server constantly updates information about current sales and special offers, providing appropriate information based on the user's location.

[0275] Reduced waiting time at the register

[0276] The smart glasses display the queue status of cash registers in real time. When a user approaches a cash register, the server guides them to the most suitable cash register based on the current waiting time. The glasses also support electronic payment, allowing users to complete payments in advance through the smart glasses.

[0277] Posture correction feedback

[0278] The smart glasses' posture sensors constantly monitor the user's posture. If their posture deteriorates, they will be notified to "correct their posture." This notification is provided through both visual and audio feedback.

[0279] Specific examples

[0280] For example, if a user issues a voice command such as "Tell me the latest offers" in the electronics section of a shopping mall, the smart glasses will send the location information and the voice command to the server. The server will then analyze the information and send it to the smart glasses, displaying it as "Special Offer: All TVs 50% off."

[0281] Example prompt for a generative AI model:

[0282] "Show your current location in a shopping mall. When you enter a specific area, show offers relevant to that area. For example, in the electronics section, show all TVs for 50% off."

[0283] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0284] Step 1:

[0285] The user puts on the smart glasses and pairs them with a smartphone. The smartphone app is launched and initial settings such as Wi-Fi connection, location sharing, and notification settings are performed. The input is user operation, and the output is a notification that the smart glasses are ready.

[0286] Step 2:

[0287] The device (smart glasses) acquires the user's location information using GPS. It receives GPS data as input and generates coordinate information of the current location as output. This coordinate information is sent to the server.

[0288] Step 3:

[0289] The server analyzes the received location information and identifies information available in the user's vicinity. It analyzes the location information as input and generates related information (e.g., sales information for a specific store) as output.

[0290] Step 4:

[0291] The server sends the analyzed information to the device (smart glasses). It receives the analyzed data as input and delivers the information displayed to the user as output.

[0292] Step 5:

[0293] When a user specifies a specific product through a voice command, the device (smart glasses) converts the voice data into text data using a voice recognition module. The device receives the voice command as input and generates text data as output.

[0294] Step 6:

[0295] The server analyzes the received text data and calculates the optimal route based on the location of the product the user is looking for. It receives text data and location information as input and generates route information as output.

[0296] Step 7:

[0297] The server sends route information to the device (smart glasses). It receives route information as input and delivers route guidance to be displayed to the user as output.

[0298] Step 8:

[0299] The device (smart glasses) displays real-time offer information as a pop-up when the user approaches a product shelf in a store. It receives the user's location information and real-time offer information as input, and generates the offer information to be displayed as output.

[0300] Step 9:

[0301] The terminal (smart glasses) displays the congestion status of the cash registers in real time and guides the customer to the most suitable cash register based on data obtained from the server. It receives congestion status data as input and generates cash register guidance information as output.

[0302] Step 10:

[0303] The device (smart glasses) uses a posture sensor to monitor the user's posture and notify them if their posture deteriorates. As input, it monitors posture data and as output, it generates a notification to correct posture.

[0304] Step 11:

[0305] A generative AI model is used to create prompts for information presentation when a user asks a specific question (e.g., "What are the latest offers?"). The model takes the user's question as input and generates a prompt as output.

[0306] Furthermore, an emotion engine that estimates the user's emotion may be 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.

[0307] This invention is a wearable information distribution system that uses smart glasses to provide necessary information to users and reduce physical stress. Furthermore, this system incorporates an emotion engine, which analyzes the user's emotional state in real time and adds the function of adjusting display content and notification content based on the results. Specific embodiments are described below.

[0308] Initial Setup

[0309] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[0310] Information Acquisition and Distribution

[0311] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[0312] Voice control

[0313] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[0314] Posture correction feedback

[0315] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[0316] emotion recognition

[0317] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[0318] Emotion-based information provision

[0319] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[0320] Specific operation examples

[0321] Initial Setup

[0322] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0323] python

[0324] setup_device("sato")

[0325] Output: "Ready"

[0326] Information Acquisition and Distribution

[0327] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0328] python

[0329] location = "shopping_mall"

[0330] info = fetch_information(location)

[0331] deliver_information_to_glasses("sato", info)

[0332] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0333] Voice control

[0334] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0335] python

[0336] process_voice_command("sato", "Tell me the latest offers")

[0337] Example output: "Today's special offer: 50% off on all footwear."

[0338] Posture correction feedback

[0339] If Sato's posture worsens, the smart glasses will provide feedback.

[0340] python

[0341] monitor_posture("sato")

[0342] Output (example): "Please correct your posture"

[0343] Emotion Recognition and Feedback

[0344] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[0345] python

[0346] analyze_emotion_and_respond("sato")

[0347] Output (example): "Playing relaxing music to help improve your mood."

[0348] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[0349] The processing flow will be explained below.

[0350] Initial Setup

[0351] Step 1:

[0352] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[0353] Step 2:

[0354] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[0355] Step 3:

[0356] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[0357] Step 4:

[0358] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[0359] Step 5:

[0360] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[0361] Information Acquisition and Distribution

[0362] Step 1:

[0363] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[0364] Step 2:

[0365] The location information acquired by the device (smart glasses) is sent to the server.

[0366] Step 3:

[0367] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[0368] Step 4:

[0369] The server sends the analysis results to the smart glasses.

[0370] Step 5:

[0371] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[0372] Voice control

[0373] Step 1:

[0374] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[0375] Step 2:

[0376] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[0377] Step 3:

[0378] The terminal (voice recognition module) converts the voice into text and analyzes it.

[0379] Step 4:

[0380] The device (smart glasses) sends the analysis results to the server.

[0381] Step 5:

[0382] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[0383] Step 6:

[0384] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[0385] Posture correction feedback

[0386] Step 1:

[0387] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[0388] Step 2:

[0389] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[0390] emotion recognition

[0391] Step 1:

[0392] The device (smart glasses) captures the user's facial expressions using a built-in camera, which captures photos and videos of the user's face in real time.

[0393] Step 2:

[0394] The device (smart glasses) sends the captured facial expression data to the emotion engine, which analyzes the facial expression data and determines the user's emotional state (e.g., joy, sadness, surprise, anger, fear, neutral).

[0395] Step 3:

[0396] The device (smart glasses) sends the analysis results to the server in real time.

[0397] Emotion-based information provision

[0398] Step 1:

[0399] The server adjusts relevant information based on the user's emotional state. For example, if the user is feeling stressed, it recommends relaxing content (e.g., natural scenery, relaxation music).

[0400] Step 2:

[0401] The server sends relevant information to the smart glasses.

[0402] Step 3:

[0403] The device (smart glasses) displays or notifies the user of the received information. For example, if the user is excited, the device will provide a voice prompt saying, "Take a deep breath."

[0404] Specific operation examples

[0405] Initial Setup

[0406] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0407] python

[0408] setup_device("sato")

[0409] Output: "Ready"

[0410] Information Acquisition and Distribution

[0411] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0412] python

[0413] location = "shopping_mall"

[0414] info = fetch_information(location)

[0415] deliver_information_to_glasses("sato", info)

[0416] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0417] Voice control

[0418] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0419] python

[0420] process_voice_command("sato", "Tell me the latest offers")

[0421] Example output: "Today's special offer: 50% off on all footwear."

[0422] Posture correction feedback

[0423] If Sato's posture worsens, the smart glasses will provide feedback.

[0424] python

[0425] monitor_posture("sato")

[0426] Output (example): "Please correct your posture"

[0427] Emotion Recognition and Feedback

[0428] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[0429] python

[0430] analyze_emotion_and_respond("sato")

[0431] Output (example): "Playing relaxing music to help improve your mood."

[0432] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[0433] Example 2

[0434] 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 smart device 14 will be referred to as a "terminal."

[0435] Conventional wearable information distribution systems can only provide simple location information and voice command operation, and cannot respond to complex conditions such as the user's emotional state or poor posture, which can lead to stressful usage environments for users. Another problem is that the physical strain on the user is not reduced due to inadequate feedback.

[0436] 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.

[0437] In this invention, the server includes means for acquiring user location information using smart glasses and providing information based on the location information, means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands, means for monitoring the user's posture using a posture sensor and notifying the user of posture abnormalities, and means for analyzing the user's emotional state in real time using an emotion engine and adjusting display and notification content based on the results. This allows the user to acquire and operate information appropriately without feeling stressed, and by providing feedback according to posture and emotional state, it is possible to reduce physical and mental strain.

[0438] "Smart glasses" are wearable devices that can be worn by users and have built-in displays, sensors, cameras, etc., and are capable of displaying and acquiring information.

[0439] "Location Information" refers to the geographic location of a user's current location, and is data obtained using GPS sensors or other location-determining technologies.

[0440] A "voice recognition module" is a software or hardware feature that captures voice commands spoken by a user, analyzes them, and converts them into a form that a computer can understand.

[0441] A "posture sensor" is a sensor used to monitor the posture and movement of a user's body, and includes a gyro sensor and an accelerometer.

[0442] An "emotion engine" is a software or hardware function that analyzes data such as a user's facial expressions and voice, and determines their emotional state in real time.

[0443] "Display content" refers to all information such as text, images, and videos displayed on the smart glasses screen.

[0444] The "notification content" is the content that visually or audibly conveys information such as feedback or alerts to the user.

[0445] "Real-time" refers to data acquisition and analysis occurring in the present moment with little or no delay.

[0446] This invention is a wearable information distribution system that uses smart glasses to provide users with necessary information and reduce physical stress. Furthermore, this system incorporates an emotion engine that analyzes the user's emotional state in real time and adds the ability to adjust display and notification content based on the results.

[0447] Initial Setup

[0448] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[0449] Information Acquisition and Distribution

[0450] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[0451] Voice control

[0452] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[0453] Posture correction feedback

[0454] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[0455] emotion recognition

[0456] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[0457] Emotion-based information provision

[0458] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[0459] Specific operation examples

[0460] Initial Setup

[0461] The user wears the smart glasses and pairs them with their smartphone.

[0462] example:

[0463] "Smartglasses setup"

[0464] Information Acquisition and Distribution

[0465] When a user enters a shopping mall, the smart glasses detect the user's location and retrieve relevant store information from the server and display it.

[0466] example:

[0467] "Information distribution at shopping malls"

[0468] Voice control

[0469] The user issues the voice command "Tell me the latest offers."

[0470] example:

[0471] "Using voice commands"

[0472] Posture correction feedback

[0473] If the user's posture deteriorates, the smart glasses will provide feedback.

[0474] example:

[0475] Posture correction feedback

[0476] Emotion Recognition and Feedback

[0477] If the emotion engine determines that the user is under stress, the server will provide appropriate measures to deal with the situation.

[0478] example:

[0479] "Emotion Recognition and Feedback"

[0480] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[0481] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0482] Step 1:

[0483] Initial Setup

[0484] The user puts on the smart glasses and launches the smartphone app. The smartphone app detects the smart glasses and pairs them via Bluetooth. The input is the user's pairing operation, and the output is a notification that pairing is complete. Specifically, the user allows the Bluetooth connection on the smartphone screen, and once pairing is complete, the smart glasses display "Ready."

[0485] Step 2:

[0486] Basic settings

[0487] The user configures basic settings such as Wi-Fi settings, consent to location sharing, and notification settings on the smartphone app. The smartphone then sends the settings to the device (smart glasses). The input is the basic setting operation, and the output is a notification that the settings are complete. Specifically, the user enters the settings on the smartphone app screen, and the message "Settings complete" is displayed.

[0488] Step 3:

[0489] Obtaining location information

[0490] When a user moves into a specific area, the smart glasses use the built-in GPS sensor to obtain their current location. The device then transmits this location information to the server in real time. The input is the current location information, and the output is a notification that transmission to the server has been completed. Specifically, the smart glasses automatically capture the location information and display the message "Sending location information."

[0491] Step 4:

[0492] Information analysis and distribution

[0493] The server analyzes the location information it receives and generates appropriate information (e.g., information about nearby stores or special offers). The analyzed information is then sent back to the smart glasses and displayed on the user's screen. The input is location information, and the output is the analyzed information. Specifically, the server analyzes the location information, generates matching data, and displays the "analyzed information" on the smart glasses.

[0494] Step 5:

[0495] Speak voice commands

[0496] The user issues a voice command to the smart glasses (e.g., "Tell me the latest offers"). The smart glasses' built-in microphone captures the voice. The input is the user's voice command, and the output is the captured voice data. Specifically, the user says "Tell me the latest offers," and the smart glasses capture the voice and send it to the server.

[0497] Step 6:

[0498] Voice analysis and information provision

[0499] The device analyzes the command using a voice recognition module. The analysis results are sent to the server, which then generates appropriate information based on the command and sends it to the smart glasses. The analysis results are then displayed to the user on the screen. The input is the captured voice data, and the output is the analyzed information. Specifically, the server analyzes the voice data into the "latest offers" and displays them on the smart glasses.

[0500] Step 7:

[0501] Posture monitoring

[0502] Smart glasses are equipped with gyro sensors and accelerometers to constantly monitor the user's posture. The device analyzes these sensor data and determines whether the user's posture has deteriorated. The input is sensor data, and the output is posture feedback. Specifically, if the smart glasses determine that the user's posture is poor, they will display a message saying, "Please correct your posture."

[0503] Step 8:

[0504] Providing postural feedback

[0505] If it determines that posture has deteriorated, the device will notify the user to "correct their posture." The notification is displayed as a visual message on the display and, in some cases, an audio alert. The input is the result of analyzing the sensor data, and the output is a visual and audio notification. Specifically, the smart glasses will notify the user to "correct their posture."

[0506] Step 9:

[0507] Capturing emotions

[0508] The smart glasses' built-in camera captures the user's facial expressions. The facial expression data is analyzed by the device's emotion engine. The input is facial expression data, and the output is the analysis results. Specifically, the smart glasses capture the user's facial expressions with the camera, and the message "Analyzing emotional state" is displayed.

[0509] Step 10:

[0510] Emotion analysis and response

[0511] The emotion engine analyzes the facial expression data and determines the user's emotional state. The analysis results are sent to the server, which then generates appropriate information based on the user's emotional state and sends it to the smart glasses. The input is the analysis results of the facial expression data, and the output is appropriate feedback information. Specifically, the smart glasses notify the user, "Stress has been detected. Relaxing music will be played," and then play music.

[0512] (Application example 2)

[0513] 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."

[0514] Conventional information distribution systems using smart glasses were limited to providing information based on the user's location information or voice commands. As a result, they were unable to take into account the user's emotional state and were insufficiently effective in reducing mental stress. Furthermore, in the field of security services, there is a demand for systems that can monitor the surrounding situation in real time and respond quickly, but this demand has not been fully met by conventional technology.

[0515] 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.

[0516] In this invention, the server includes means for providing information based on the user's location information, means for updating information based on the user's voice commands, and means for capturing the user's facial expressions using a built-in camera and analyzing them with an emotion engine to adjust notifications and information based on the user's emotional state. This enables appropriate feedback according to the user's emotional state, reduces mental stress, and enables quick and appropriate responses in the field of security services.

[0517] "Smart glasses" are a type of wearable device, a pair of glasses equipped with a display, camera, and sensors.

[0518] "Location information" refers to the user's current geographical location, and is data primarily obtained using GPS.

[0519] A "voice recognition module" is a piece of software or hardware that analyzes a user's voice commands, converts them into text data, and enables system operation.

[0520] A "posture sensor" is a sensor fusion device that includes a gyro sensor and an accelerometer, and is used to detect the tilt and movement of the user's body and monitor their posture.

[0521] The "built-in camera" is a camera built into smart glasses, a device that has the function of capturing the user's facial expressions and the surrounding environment.

[0522] The "emotion engine" is an analytics engine that analyzes the user's facial expressions and voice data to estimate their emotional state in real time.

[0523] "Notifications" refer to alerts or information directed to the user, which are communicated through the smart glasses' display or audio output.

[0524] "Feedback" refers to the response that the system gives to the user, and is information provided through audio or visual displays.

[0525] This invention realizes a wearable smart glasses-type system for security services that obtains a user's location information, voice commands, posture, and emotional state in real time and provides feedback based on this information. To implement this system, the following elements must be included:

[0526] 1. Hardware configuration:

[0527] Smart glasses: Includes a display, built-in camera, gyro sensor, accelerometer, and built-in microphone.

[0528] Server: Has the function of receiving the user's location information, analyzing the relevant information, and sending it to the smart glasses.

[0529] Smartphone: Used to pair with smart glasses for initial setup and communication.

[0530] 2. Software configuration:

[0531] Speech Recognition Module: Parses the user's voice commands and retrieves or updates the appropriate information.

[0532] Emotion engine: Analyzes the user's facial expressions captured by the built-in camera and estimates their emotional state.

[0533] Analysis engine: Analyzes relevant information based on location and emotion data on the server side.

[0534] 3. Data processing and calculation:

[0535] Location information acquisition: The smart glasses acquire the user's location information using the GPS sensor and send this data to the server.

[0536] Voice command analysis: The user speaks a voice command into the built-in microphone, which is then converted into text data by the voice recognition module. The server then analyzes the text data and sends the appropriate information to the smart glasses.

[0537] Posture monitoring: Uses gyro sensors and accelerometers to capture user posture data and provide feedback if an abnormality is detected.

[0538] Emotion analysis: The built-in camera captures the user's facial expressions, which are then analyzed by the emotion engine to estimate their emotional state. The server then uses this emotional data to tailor appropriate feedback and information.

[0539] 4. Example:

[0540] Initial Setup: A user puts on the smart glasses and pairs them with their smartphone. For example, "Sato" sets up the device and it's ready to go.

[0541] Information Acquisition and Distribution: When a user enters a shopping mall, the smart glasses detect their location and retrieve relevant store information from the server and display it. For example, they can display information such as "Welcome to the shopping mall. Today's special offer: 20% off all items."

[0542] Voice control: When a user issues a voice command such as "Tell me about dangerous areas," relevant safety information will be displayed on the smart glasses.

[0543] Posture correction feedback: Smart glasses monitor the user's posture and notify them to "correct their posture" if their posture deteriorates.

[0544] Emotion recognition and feedback: The built-in camera captures the user's facial expressions, and if the emotional state is determined to be "high stress," it provides feedback such as "take a break."

[0545] Example prompt sentence:

[0546] "Simulate how a user responds when approaching a dangerous area in a shopping mall, their posture worsens, and stress levels rise."

[0547] This configuration and operating procedure provides appropriate feedback according to the user's emotional state and surrounding circumstances, making it possible to improve security and reduce the user's mental stress.

[0548] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0549] Step 1: Initial Setup

[0550] The user wears the smart glasses and pairs them with their smartphone.

[0551] Input: Smartglasses and smartphone pairing request

[0552] Data processing / calculation: The smartphone app performs pairing using Bluetooth or Wi-Fi and sends initial settings (location information, notification settings, etc.) to the server.

[0553] Output: Device pairing complete and ready notification

[0554] Step 2: Obtaining and distributing location information

[0555] The smart glasses use GPS to acquire the user's location information and send it to the server. The server analyzes the relevant information based on the location information and sends it to the smart glasses.

[0556] Input: User's current location (GPS data)

[0557] Data processing / calculation: The server analyzes the location information and extracts relevant real-time information (e.g., dangerous areas, special offers, etc.).

[0558] Output: Display relevant information (e.g. "Welcome to the mall. Today's special: 20% off all items")

[0559] Step 3: Parsing voice commands

[0560] Users speak voice commands into the built-in microphone, and the smart glasses' voice recognition module converts the voice into text data, which is then sent to the server to retrieve the appropriate information.

[0561] Input: User's voice command (e.g., "Tell me about dangerous areas")

[0562] Data processing / calculation: The speech recognition module converts the speech into text data, and the server analyzes the text data to obtain relevant information.

[0563] Output: Display appropriate feedback (e.g. "Approaching a dangerous area")

[0564] Step 4: Posture monitoring

[0565] The smart glasses use gyro sensors and accelerometers to collect the user's posture data and notify the user if an abnormality is detected.

[0566] Input: User posture data

[0567] Data processing / calculation: Analyzes data obtained from the gyro sensor and accelerometer to determine whether the user's posture is abnormal.

[0568] Output: Notification when an abnormality is detected (e.g. "Please correct your posture")

[0569] Step 5: Analyze emotional state

[0570] The built-in camera captures the user's facial expressions, and the emotion engine analyzes the data to estimate their emotional state. The server then tailors the feedback and information based on this data.

[0571] Input: Facial expression data (camera capture)

[0572] Data processing / calculation: The emotion engine analyzes facial expression data and estimates the user's emotional state (e.g., stress level).

[0573] Output: Feedback based on emotional state (e.g., "Relax")

[0574] Step 6: Real-time feedback and adjustments

[0575] Based on the analytical data, the server generates appropriate feedback related to emotional state and location information and sends it to the smart glasses.

[0576] Input: Analysis results (location information, voice commands, posture data, emotional state)

[0577] Data processing / calculation: Based on comprehensive analysis on the server, optimal feedback and information is generated and sent to the smart glasses.

[0578] Output: Tailored information and notifications displayed in real time (e.g. "Relaxing music is playing")

[0579] Through these steps, users can receive seamless, real-time information and feedback.

[0580] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio 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 audio data.

[0581] 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 performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with 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.

[0582] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0583] [Second embodiment]

[0584] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0585] 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.

[0586] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0587] 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.

[0588] 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 audio in accordance with instructions from the processor 46.

[0589] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and 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 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0590] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0591] Fig. 4 shows an example of the 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.

[0592] 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.

[0593] 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.

[0594] 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.

[0595] 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 smart glasses 214 will be referred to as the "terminal."

[0596] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. Hereinafter, specific embodiments of this system will be described.

[0597] Initial Setup

[0598] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[0599] Information Acquisition and Distribution

[0600] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[0601] Voice control

[0602] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[0603] Posture correction feedback

[0604] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[0605] Specific operation examples

[0606] Initial Setup

[0607] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0608] python

[0609] setup_device("sato")

[0610] Output: "Ready"

[0611] Information Acquisition and Distribution

[0612] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0613] python

[0614] location = "shopping_mall"

[0615] info = fetch_information(location)

[0616] deliver_information_to_glasses("sato", info)

[0617] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0618] Voice control

[0619] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0620] python

[0621] process_voice_command("sato", "Tell me the latest offers")

[0622] Example output: "Today's special offer: 50% off on all footwear."

[0623] Posture correction feedback

[0624] If Sato's posture worsens, the smart glasses will provide feedback.

[0625] python

[0626] monitor_posture("sato")

[0627] Output (example): "Please correct your posture"

[0628] This system allows users to easily access the information they need through smart glasses while also reducing physical stress.

[0629] The processing flow will be explained below.

[0630] Initial Setup

[0631] Step 1:

[0632] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[0633] Step 2:

[0634] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[0635] Step 3:

[0636] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[0637] Step 4:

[0638] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[0639] Step 5:

[0640] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[0641] Information Acquisition and Distribution

[0642] Step 1:

[0643] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[0644] Step 2:

[0645] The location information acquired by the device (smart glasses) is sent to the server.

[0646] Step 3:

[0647] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[0648] Step 4:

[0649] The server sends the analysis results to the smart glasses.

[0650] Step 5:

[0651] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[0652] Voice control

[0653] Step 1:

[0654] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[0655] Step 2:

[0656] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[0657] Step 3:

[0658] The terminal (voice recognition module) converts the voice into text and analyzes it.

[0659] Step 4:

[0660] The device (smart glasses) sends the analysis results to the server.

[0661] Step 5:

[0662] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[0663] Step 6:

[0664] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[0665] Posture correction feedback

[0666] Step 1:

[0667] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[0668] Step 2:

[0669] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[0670] Example 1

[0671] 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 smart glasses 214 will be referred to as a "terminal."

[0672] In recent years, users have been seeking quick and easy access to information they need in their daily lives and work, while also reducing physical stress. Conventional information provision systems and devices require users to operate them manually, resulting in low convenience and making it difficult to obtain information and manage body posture, especially while on the move. Furthermore, voice control is insufficient, and feedback to users is limited. Therefore, there is a need for a system that can provide appropriate information based on the user's location information and perform advanced voice control and posture management.

[0673] 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.

[0674] In this invention, the server includes: means for acquiring user location information using a wearable device worn by the user and providing information based on the location information; means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands; means for monitoring the user's posture using a sensor and notifying the user of posture abnormalities; means for the server to receive the location information, analyze related information, and transmit the information to the wearable device; means for the wearable device to provide information using a display and provide feedback using voice output; and means for providing the user with necessary information and reducing physical stress by analyzing prompt sentences and providing appropriate information. This allows the user to quickly and easily obtain necessary information even while on the move, and enables advanced voice operation and posture management, thereby improving user convenience and health management.

[0675] A "wearable device" is an electronic device that is worn by the user and includes devices such as smart glasses and smart watches.

[0676] "Location information" is data indicating a user's current geographic location obtained using GPS or other location-determining means.

[0677] "Means for providing information" refers to a system configuration in which the wearable device has the function of displaying or notifying the user of relevant information based on the user's location information.

[0678] A "voice recognition module" is an electronic circuit or software program that captures the user's voice, analyzes it, and converts it into text data.

[0679] A "voice command" is a voice-based operation instruction, including verbal instructions or questions, that a user issues to a wearable device.

[0680] A "sensor" is a device for detecting the state of the user's body or the environment, and includes a gyro sensor, an accelerometer, and the like.

[0681] The "posture monitoring means" is a system configuration that uses sensors to detect the user's posture and movements and monitors changes and abnormalities in posture.

[0682] A "display" is a screen installed on a wearable device that displays visual information to the user.

[0683] "Audio output" is a function for providing information to the user by voice using a speaker or other audio playback device.

[0684] A "generative AI model" is an algorithm or program that uses artificial intelligence to analyze prompts and generate useful information for users.

[0685] A "prompt" is text data that is input into a generative AI model, and is the sentence or instruction that serves as the basis for generating relevant information through analysis.

[0686] This invention relates to a system that uses a wearable device to provide information to a user and further supports user convenience and health management through voice control and posture management. The details of this system are described below.

[0687] Initial Setup

[0688] First, the user puts on the wearable device and pairs it with their smartphone. This is done using a dedicated smartphone app. Through the app, the user performs initial setup such as Wi-Fi connection settings, consent to location sharing, and notification settings. Once the setup is complete, the device (wearable device) displays a "Ready" notification to the user. Visual notifications are provided on the display, and audio notifications are provided using audio output.

[0689] Information Acquisition and Distribution

[0690] When a user moves into a specific area, the terminal (wearable device) acquires the user's current location using the built-in GPS. The acquired location information is sent to a server, which analyzes relevant information based on the location information. The server then sends the analysis results back to the terminal, which then provides the information to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the wearable device's display. Audio output is also possible.

[0691] Voice control

[0692] A user can issue a voice command to the wearable device. For example, "Tell me the latest offers." The device's built-in microphone captures this voice and sends the voice data to the server. The server uses a generative AI model to analyze the voice data and derive appropriate information. This information is then sent back to the device and presented to the user. Specifically, it displays "Today's special offer: All shoes 50% off."

[0693] Posture correction feedback

[0694] The terminal (wearable device) is equipped with a gyro sensor and an accelerometer, which constantly monitor the user's posture. If the user's posture deteriorates, the terminal will notify the user by saying "Please correct your posture." This notification is conveyed to the user by displaying a message on the screen or by audio output.

[0695] Specific operation examples

[0696] Initial Setup

[0697] User "A" puts on the wearable device and pairs it with a smartphone.

[0698] text

[0699] User "A" displays the pairing screen using a smartphone app and completes the connection via Bluetooth.

[0700] Information Acquisition and Distribution

[0701] When user "A" enters a shopping mall, the wearable device acquires location information and retrieves and displays relevant store information from the server.

[0702] text

[0703] When user "A" enters a shopping mall, the wearable device displays "Today's Sale: 20% off all items."

[0704] Voice control

[0705] If user "A" wants to know information about a particular store, he or she can issue a voice command such as "Tell me the latest offers."

[0706] text

[0707] When user "A" says "Tell me the latest offers," the wearable device displays "Today's special offer: 50% off all shoes."

[0708] Posture correction feedback

[0709] If user "A"'s posture deteriorates, the wearable device provides feedback.

[0710] text

[0711] When user "A"'s posture deteriorates, the wearable device notifies him / her to "correct his / her posture."

[0712] This system allows users to easily obtain the information they need through a wearable device, and also allows them to manage their health through voice control and posture management.

[0713] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0714] Program processing steps

[0715] Initial Setup

[0716] Step 1:

[0717] The user turns on their smartphone and opens the dedicated app.

[0718] Input: Touch operation on smartphone

[0719] What happens: The user selects the settings option on the home screen of the smartphone app to initiate pairing mode on the wearable device.

[0720] Output: The app displays the Bluetooth pairing screen.

[0721] Step 2:

[0722] The user puts on the wearable device and pairs it with their smartphone.

[0723] Input: Bluetooth signal

[0724] Specific operation: Enable pairing mode on the wearable device and select the device from the device list displayed in the smartphone app.

[0725] Output: Pairing complete confirmation message

[0726] Step 3:

[0727] Users use the app to connect to Wi-Fi, consent to location sharing, and set notification preferences.

[0728] Input: Touch operation on the screen and required information (SSID, password, etc.)

[0729] What it does: The user selects Wi-Fi in the app's settings screen, enters the SSID and password, agrees to location sharing, and selects the type of notification.

[0730] Output: Notification of successful setup

[0731] Information Acquisition and Distribution

[0732] Step 1:

[0733] The user travels to a specific area.

[0734] Input: User's physical movement

[0735] Specific action: The user navigates to a specific area, such as a shopping mall.

[0736] Output: Wearable device acquires location information

[0737] Step 2:

[0738] The device uses its built-in GPS to determine its current location.

[0739] Input: GPS signal

[0740] Specific operation: The device uses the GPS module to determine its current location.

[0741] Output: Current location data

[0742] Step 3:

[0743] The terminal transmits the acquired location information to the server.

[0744] Input: Current location data

[0745] What it does: The device sends location information to a server via Wi-Fi or a mobile network.

[0746] Output: Receiving location information on the server side

[0747] Step 4:

[0748] The server analyzes the location information and identifies relevant information.

[0749] Input: Received location information

[0750] Specific operation: The server references the database based on the location information and extracts relevant special offers and sales information.

[0751] Output: Extracted relevant information

[0752] Step 5:

[0753] The server transmits the analyzed information to the terminal.

[0754] Input: Extracted relevant information

[0755] Specific operation: The server generates a packet to send the relevant information to the terminal and sends it over the network.

[0756] Output: Information received on the terminal

[0757] Step 6:

[0758] The terminal presents the received information to the user.

[0759] Input: Information received from the server

[0760] What it does: The device will display "Today's Sale: 20% off everything" and may also play a voice notification.

[0761] Output: Reward information presented to the user

[0762] Voice control

[0763] Step 1:

[0764] The user issues voice commands to the wearable device.

[0765] Input: Voice command (e.g. "Tell me the latest offers")

[0766] Specific action: The user speaks into the wearable device.

[0767] Output: Wearable device captures audio

[0768] Step 2:

[0769] The device's built-in microphone captures the audio and sends the audio data to the server.

[0770] Input: Audio data

[0771] Specific operation: The device's microphone records audio and sends the data to the server.

[0772] Output: Audio data received on the server side

[0773] Step 3:

[0774] The server analyzes the voice data and generates appropriate information.

[0775] Input: Received audio data

[0776] What it does: The server uses a generative AI model to convert speech to text, then analyzes the text to retrieve relevant information.

[0777] Output: Pertinent information as a result of the analysis

[0778] Step 4:

[0779] The server sends the analysis results to the terminal.

[0780] Input: Parsed information

[0781] Specific operation: The server packets the information and sends it to the terminal.

[0782] Output: Information received on the terminal

[0783] Step 5:

[0784] The terminal presents the information to the user.

[0785] Input: Analysis results received from the server

[0786] What it does: The device will display "Today's Special Offer: All Shoes 50% Off" and may also play a voice notification.

[0787] Output: Reward information presented to the user

[0788] Posture correction feedback

[0789] Step 1:

[0790] The device uses built-in sensors to monitor the user's posture.

[0791] Input: Sensor data (gyroscope, accelerometer, etc.)

[0792] Specific operation: The device monitors the user's posture in real time.

[0793] Output: Analyzed pose data

[0794] Step 2:

[0795] If the user's posture deteriorates, the device generates a warning.

[0796] Input: Parsed pose data

[0797] Specific operation: The device analyzes posture data and generates a warning if a threshold is exceeded.

[0798] Output: Warning message

[0799] Step 3:

[0800] The terminal notifies the user of the warning.

[0801] Input: warning message

[0802] Specific actions: The device will display "Please correct your posture" on the display and will also provide a voice notification if necessary.

[0803] Output: Posture correction notification presented to the user

[0804] (Application example 1)

[0805] 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."

[0806] In recent years, shopping has become increasingly difficult and physically stressful. Particularly in large commercial facilities, it can take a long time to find a product, or people often have to wander around searching for a specific item. In addition, in-store sales and offers change frequently, making it difficult to keep up with them. Furthermore, long wait times at the cash register can make shopping less enjoyable. To solve these issues and provide a more comfortable shopping experience, a system that provides real-time information using the user's location and voice commands is needed.

[0807] 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.

[0808] In this invention, the server includes a means for acquiring location information of the user using smart glasses and providing directions to a specific product, a means for acquiring real-time offer information in the store and providing it to the user, and a means for displaying the congestion status of cash registers in real time and guiding the user to the most suitable cash register. This allows the user to easily check product information and sale information through the smart glasses, enabling comfortable and efficient shopping.

[0809] "Smart glasses" are head-mounted display devices worn by users that display information and acquire data using sensors.

[0810] "Location information" is data used to identify a user's current location using GPS or other positioning systems.

[0811] A "voice recognition module" is a system that analyzes the user's voice and converts it into text or commands.

[0812] A "posture sensor" is a device that uses a gyro sensor, accelerometer, or the like to detect the posture of a user's body.

[0813] "Directions" are a means of providing directions and routes for a user to get to a particular location.

[0814] "Real-time offer information" is the latest information about current sales and special offers.

[0815] "Cashier congestion status" is real-time data on waiting times and number of people at cash registers in stores.

[0816] A "server" is a central information processing device that receives and analyzes user location information, voice commands, and the like to provide information.

[0817] A "voice command" is an instruction or command that a user inputs using voice.

[0818] A "display" is a screen or projection device for displaying visual information.

[0819] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. A specific embodiment of this system will be described below.

[0820] System configuration

[0821] The system consists of smart glasses, a smartphone, a server, a voice recognition module, and a posture sensor.

[0822] Smart glasses: Devices worn by the user that provide visual displays and audio feedback.

[0823] Smartphone: A device that pairs with smart glasses to connect via Wi-Fi and share location information.

[0824] Server: A central information processing device that analyzes location information and voice commands and provides related information.

[0825] Speech Recognition Module: A system that recognizes the user's voice commands and converts them into text or instructions.

[0826] Posture sensor: A device for monitoring the user's posture and detecting abnormalities in posture.

[0827] Initial Setup

[0828] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a dedicated smartphone app. Once the user has completed the Wi-Fi connection, location sharing, and notification settings, the smart glasses will display a notification that they are ready.

[0829] Information Acquisition and Distribution

[0830] When a user moves to a specific area, the smart glasses use GPS to obtain location information. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the smart glasses and provided to the user. For example, when a user enters a store, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses.

[0831] Directions function

[0832] When a user selects a specific product by voice, the smart glasses provide directions to the specific product. The server calculates the optimal route based on the user's location information and displays the route information in real time.

[0833] Real-time offer notifications

[0834] When a user approaches a specific product shelf while walking around the store, the smart glasses will display a pop-up with information about discounts and special offers for that product. The server constantly updates information about current sales and special offers, providing appropriate information based on the user's location.

[0835] Reduced waiting time at the register

[0836] The smart glasses display the queue status of cash registers in real time. When a user approaches a cash register, the server guides them to the most suitable cash register based on the current waiting time. The glasses also support electronic payment, allowing users to complete payments in advance through the smart glasses.

[0837] Posture correction feedback

[0838] The smart glasses' posture sensors constantly monitor the user's posture. If their posture deteriorates, they will be notified to "correct their posture." This notification is provided through both visual and audio feedback.

[0839] Specific examples

[0840] For example, if a user issues a voice command such as "Tell me the latest offers" in the electronics section of a shopping mall, the smart glasses will send the location information and the voice command to the server. The server will then analyze the information and send it to the smart glasses, displaying it as "Special Offer: All TVs 50% off."

[0841] Example prompt for a generative AI model:

[0842] "Show your current location in a shopping mall. When you enter a specific area, show offers relevant to that area. For example, in the electronics section, show all TVs for 50% off."

[0843] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0844] Step 1:

[0845] The user puts on the smart glasses and pairs them with a smartphone. The smartphone app is launched and initial settings such as Wi-Fi connection, location sharing, and notification settings are performed. The input is user operation, and the output is a notification that the smart glasses are ready.

[0846] Step 2:

[0847] The device (smart glasses) acquires the user's location information using GPS. It receives GPS data as input and generates coordinate information of the current location as output. This coordinate information is sent to the server.

[0848] Step 3:

[0849] The server analyzes the received location information and identifies information available in the user's vicinity. It analyzes the location information as input and generates related information (e.g., sales information for a specific store) as output.

[0850] Step 4:

[0851] The server sends the analyzed information to the device (smart glasses). It receives the analyzed data as input and delivers the information displayed to the user as output.

[0852] Step 5:

[0853] When a user specifies a specific product through a voice command, the device (smart glasses) converts the voice data into text data using a voice recognition module. The device receives the voice command as input and generates text data as output.

[0854] Step 6:

[0855] The server analyzes the received text data and calculates the optimal route based on the location of the product the user is looking for. It receives text data and location information as input and generates route information as output.

[0856] Step 7:

[0857] The server sends route information to the device (smart glasses). It receives route information as input and delivers route guidance to be displayed to the user as output.

[0858] Step 8:

[0859] The device (smart glasses) displays real-time offer information as a pop-up when the user approaches a product shelf in a store. It receives the user's location information and real-time offer information as input, and generates the offer information to be displayed as output.

[0860] Step 9:

[0861] The terminal (smart glasses) displays the congestion status of the cash registers in real time and guides the customer to the most suitable cash register based on data obtained from the server. It receives congestion status data as input and generates cash register guidance information as output.

[0862] Step 10:

[0863] The device (smart glasses) uses a posture sensor to monitor the user's posture and notify them if their posture deteriorates. As input, it monitors posture data and as output, it generates a notification to correct posture.

[0864] Step 11:

[0865] A generative AI model is used to create prompts for information presentation when a user asks a specific question (e.g., "What are the latest offers?"). The model takes the user's question as input and generates a prompt as output.

[0866] Furthermore, 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.

[0867] This invention is a wearable information distribution system that uses smart glasses to provide necessary information to users and reduce physical stress. Furthermore, this system incorporates an emotion engine, which analyzes the user's emotional state in real time and adds the function of adjusting display content and notification content based on the results. Specific embodiments are described below.

[0868] Initial Setup

[0869] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[0870] Information Acquisition and Distribution

[0871] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[0872] Voice control

[0873] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[0874] Posture correction feedback

[0875] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[0876] emotion recognition

[0877] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[0878] Emotion-based information provision

[0879] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[0880] Specific operation examples

[0881] Initial Setup

[0882] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0883] python

[0884] setup_device("sato")

[0885] Output: "Ready"

[0886] Information Acquisition and Distribution

[0887] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0888] python

[0889] location = "shopping_mall"

[0890] info = fetch_information(location)

[0891] deliver_information_to_glasses("sato", info)

[0892] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0893] Voice control

[0894] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0895] python

[0896] process_voice_command("sato", "Tell me the latest offers")

[0897] Example output: "Today's special offer: 50% off on all footwear."

[0898] Posture correction feedback

[0899] If Sato's posture worsens, the smart glasses will provide feedback.

[0900] python

[0901] monitor_posture("sato")

[0902] Output (example): "Please correct your posture"

[0903] Emotion Recognition and Feedback

[0904] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[0905] python

[0906] analyze_emotion_and_respond("sato")

[0907] Output (example): "Playing relaxing music to help improve your mood."

[0908] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[0909] The processing flow will be explained below.

[0910] Initial Setup

[0911] Step 1:

[0912] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[0913] Step 2:

[0914] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[0915] Step 3:

[0916] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[0917] Step 4:

[0918] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[0919] Step 5:

[0920] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[0921] Information Acquisition and Distribution

[0922] Step 1:

[0923] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[0924] Step 2:

[0925] The location information acquired by the device (smart glasses) is sent to the server.

[0926] Step 3:

[0927] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[0928] Step 4:

[0929] The server sends the analysis results to the smart glasses.

[0930] Step 5:

[0931] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[0932] Voice control

[0933] Step 1:

[0934] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[0935] Step 2:

[0936] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[0937] Step 3:

[0938] The terminal (voice recognition module) converts the voice into text and analyzes it.

[0939] Step 4:

[0940] The device (smart glasses) sends the analysis results to the server.

[0941] Step 5:

[0942] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[0943] Step 6:

[0944] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[0945] Posture correction feedback

[0946] Step 1:

[0947] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[0948] Step 2:

[0949] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[0950] emotion recognition

[0951] Step 1:

[0952] The device (smart glasses) captures the user's facial expressions using a built-in camera, which captures photos and videos of the user's face in real time.

[0953] Step 2:

[0954] The device (smart glasses) sends the captured facial expression data to the emotion engine, which analyzes the facial expression data and determines the user's emotional state (e.g., joy, sadness, surprise, anger, fear, neutral).

[0955] Step 3:

[0956] The device (smart glasses) sends the analysis results to the server in real time.

[0957] Emotion-based information provision

[0958] Step 1:

[0959] The server adjusts relevant information based on the user's emotional state. For example, if the user is feeling stressed, it recommends relaxing content (e.g., natural scenery, relaxation music).

[0960] Step 2:

[0961] The server sends relevant information to the smart glasses.

[0962] Step 3:

[0963] The device (smart glasses) displays or notifies the user of the received information. For example, if the user is excited, the device will provide a voice prompt saying, "Take a deep breath."

[0964] Specific operation examples

[0965] Initial Setup

[0966] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[0967] python

[0968] setup_device("sato")

[0969] Output: "Ready"

[0970] Information Acquisition and Distribution

[0971] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[0972] python

[0973] location = "shopping_mall"

[0974] info = fetch_information(location)

[0975] deliver_information_to_glasses("sato", info)

[0976] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[0977] Voice control

[0978] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[0979] python

[0980] process_voice_command("sato", "Tell me the latest offers")

[0981] Example output: "Today's special offer: 50% off on all footwear."

[0982] Posture correction feedback

[0983] If Sato's posture worsens, the smart glasses will provide feedback.

[0984] python

[0985] monitor_posture("sato")

[0986] Output (example): "Please correct your posture"

[0987] Emotion Recognition and Feedback

[0988] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[0989] python

[0990] analyze_emotion_and_respond("sato")

[0991] Output (example): "Playing relaxing music to help improve your mood."

[0992] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[0993] Example 2

[0994] 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 smart glasses 214 will be referred to as a "terminal."

[0995] Conventional wearable information distribution systems can only provide simple location information and voice command operation, and cannot respond to complex conditions such as the user's emotional state or poor posture, which can lead to stressful usage environments for users. Another problem is that the physical strain on the user is not reduced due to inadequate feedback.

[0996] 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.

[0997] In this invention, the server includes means for acquiring user location information using smart glasses and providing information based on the location information, means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands, means for monitoring the user's posture using a posture sensor and notifying the user of posture abnormalities, and means for analyzing the user's emotional state in real time using an emotion engine and adjusting display and notification content based on the results. This allows the user to acquire and operate information appropriately without feeling stressed, and by providing feedback according to posture and emotional state, it is possible to reduce physical and mental strain.

[0998] "Smart glasses" are wearable devices that can be worn by users and have built-in displays, sensors, cameras, etc., and are capable of displaying and acquiring information.

[0999] "Location Information" refers to the geographic location of a user's current location, and is data obtained using GPS sensors or other location-determining technologies.

[1000] A "voice recognition module" is a software or hardware feature that captures voice commands spoken by a user, analyzes them, and converts them into a form that a computer can understand.

[1001] A "posture sensor" is a sensor used to monitor the posture and movement of a user's body, and includes a gyro sensor and an accelerometer.

[1002] An "emotion engine" is a software or hardware function that analyzes data such as a user's facial expressions and voice, and determines their emotional state in real time.

[1003] "Display content" refers to all information such as text, images, and videos displayed on the smart glasses screen.

[1004] The "notification content" is the content that visually or audibly conveys information such as feedback or alerts to the user.

[1005] "Real-time" refers to data acquisition and analysis occurring in the present moment with little or no delay.

[1006] This invention is a wearable information distribution system that uses smart glasses to provide users with necessary information and reduce physical stress. Furthermore, this system incorporates an emotion engine that analyzes the user's emotional state in real time and adds the ability to adjust display and notification content based on the results.

[1007] Initial Setup

[1008] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1009] Information Acquisition and Distribution

[1010] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1011] Voice control

[1012] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1013] Posture correction feedback

[1014] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1015] emotion recognition

[1016] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[1017] Emotion-based information provision

[1018] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[1019] Specific operation examples

[1020] Initial Setup

[1021] The user wears the smart glasses and pairs them with their smartphone.

[1022] example:

[1023] "Smartglasses setup"

[1024] Information Acquisition and Distribution

[1025] When a user enters a shopping mall, the smart glasses detect the user's location and retrieve relevant store information from the server and display it.

[1026] example:

[1027] "Information distribution at shopping malls"

[1028] Voice control

[1029] The user issues the voice command "Tell me the latest offers."

[1030] example:

[1031] "Using voice commands"

[1032] Posture correction feedback

[1033] If the user's posture deteriorates, the smart glasses will provide feedback.

[1034] example:

[1035] Posture correction feedback

[1036] Emotion Recognition and Feedback

[1037] If the emotion engine determines that the user is under stress, the server will provide appropriate measures to deal with the situation.

[1038] example:

[1039] "Emotion Recognition and Feedback"

[1040] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[1041] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1042] Step 1:

[1043] Initial Setup

[1044] The user puts on the smart glasses and launches the smartphone app. The smartphone app detects the smart glasses and pairs them via Bluetooth. The input is the user's pairing operation, and the output is a notification that pairing is complete. Specifically, the user allows the Bluetooth connection on the smartphone screen, and once pairing is complete, the smart glasses display "Ready."

[1045] Step 2:

[1046] Basic settings

[1047] The user configures basic settings such as Wi-Fi settings, consent to location sharing, and notification settings on the smartphone app. The smartphone then sends the settings to the device (smart glasses). The input is the basic setting operation, and the output is a notification that the settings are complete. Specifically, the user enters the settings on the smartphone app screen, and the message "Settings complete" is displayed.

[1048] Step 3:

[1049] Obtaining location information

[1050] When a user moves into a specific area, the smart glasses use the built-in GPS sensor to obtain their current location. The device then transmits this location information to the server in real time. The input is the current location information, and the output is a notification that transmission to the server has been completed. Specifically, the smart glasses automatically capture the location information and display the message "Sending location information."

[1051] Step 4:

[1052] Information analysis and distribution

[1053] The server analyzes the location information it receives and generates appropriate information (e.g., information about nearby stores or special offers). The analyzed information is then sent back to the smart glasses and displayed on the user's screen. The input is location information, and the output is the analyzed information. Specifically, the server analyzes the location information, generates matching data, and displays the "analyzed information" on the smart glasses.

[1054] Step 5:

[1055] Speak voice commands

[1056] The user issues a voice command to the smart glasses (e.g., "Tell me the latest offers"). The smart glasses' built-in microphone captures the voice. The input is the user's voice command, and the output is the captured voice data. Specifically, the user says "Tell me the latest offers," and the smart glasses capture the voice and send it to the server.

[1057] Step 6:

[1058] Voice analysis and information provision

[1059] The device analyzes the command using a voice recognition module. The analysis results are sent to the server, which then generates appropriate information based on the command and sends it to the smart glasses. The analysis results are then displayed to the user on the screen. The input is the captured voice data, and the output is the analyzed information. Specifically, the server analyzes the voice data into the "latest offers" and displays them on the smart glasses.

[1060] Step 7:

[1061] Posture monitoring

[1062] Smart glasses are equipped with gyro sensors and accelerometers to constantly monitor the user's posture. The device analyzes these sensor data and determines whether the user's posture has deteriorated. The input is sensor data, and the output is posture feedback. Specifically, if the smart glasses determine that the user's posture is poor, they will display a message saying, "Please correct your posture."

[1063] Step 8:

[1064] Providing postural feedback

[1065] If it determines that posture has deteriorated, the device will notify the user to "correct their posture." The notification is displayed as a visual message on the display and, in some cases, an audio alert. The input is the result of analyzing the sensor data, and the output is a visual and audio notification. Specifically, the smart glasses will notify the user to "correct their posture."

[1066] Step 9:

[1067] Capturing emotions

[1068] The smart glasses' built-in camera captures the user's facial expressions. The facial expression data is analyzed by the device's emotion engine. The input is facial expression data, and the output is the analysis results. Specifically, the smart glasses capture the user's facial expressions with the camera, and the message "Analyzing emotional state" is displayed.

[1069] Step 10:

[1070] Emotion analysis and response

[1071] The emotion engine analyzes the facial expression data and determines the user's emotional state. The analysis results are sent to the server, which then generates appropriate information based on the user's emotional state and sends it to the smart glasses. The input is the analysis results of the facial expression data, and the output is appropriate feedback information. Specifically, the smart glasses notify the user, "Stress has been detected. Relaxing music will be played," and then play music.

[1072] (Application example 2)

[1073] 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."

[1074] Conventional information distribution systems using smart glasses were limited to providing information based on the user's location information or voice commands. As a result, they were unable to take into account the user's emotional state and were insufficiently effective in reducing mental stress. Furthermore, in the field of security services, there is a demand for systems that can monitor the surrounding situation in real time and respond quickly, but this demand has not been fully met by conventional technology.

[1075] 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.

[1076] In this invention, the server includes means for providing information based on the user's location information, means for updating information based on the user's voice commands, and means for capturing the user's facial expressions using a built-in camera and analyzing them with an emotion engine to adjust notifications and information based on the user's emotional state. This enables appropriate feedback according to the user's emotional state, reduces mental stress, and enables quick and appropriate responses in the field of security services.

[1077] "Smart glasses" are a type of wearable device, a pair of glasses equipped with a display, camera, and sensors.

[1078] "Location information" refers to the user's current geographical location, and is data primarily obtained using GPS.

[1079] A "voice recognition module" is a piece of software or hardware that analyzes a user's voice commands, converts them into text data, and enables system operation.

[1080] A "posture sensor" is a sensor fusion device that includes a gyro sensor and an accelerometer, and is used to detect the tilt and movement of the user's body and monitor their posture.

[1081] The "built-in camera" is a camera built into smart glasses, a device that has the function of capturing the user's facial expressions and the surrounding environment.

[1082] The "emotion engine" is an analytics engine that analyzes the user's facial expressions and voice data to estimate their emotional state in real time.

[1083] "Notifications" refer to alerts or information directed to the user, which are communicated through the smart glasses' display or audio output.

[1084] "Feedback" refers to the response that the system gives to the user, and is information provided through audio or visual displays.

[1085] This invention realizes a wearable smart glasses-type system for security services that obtains a user's location information, voice commands, posture, and emotional state in real time and provides feedback based on this information. To implement this system, the following elements must be included:

[1086] 1. Hardware configuration:

[1087] Smart glasses: Includes a display, built-in camera, gyro sensor, accelerometer, and built-in microphone.

[1088] Server: Has the function of receiving the user's location information, analyzing the relevant information, and sending it to the smart glasses.

[1089] Smartphone: Used to pair with smart glasses for initial setup and communication.

[1090] 2. Software configuration:

[1091] Speech Recognition Module: Parses the user's voice commands and retrieves or updates the appropriate information.

[1092] Emotion engine: Analyzes the user's facial expressions captured by the built-in camera and estimates their emotional state.

[1093] Analysis engine: Analyzes relevant information based on location and emotion data on the server side.

[1094] 3. Data processing and calculation:

[1095] Location information acquisition: The smart glasses acquire the user's location information using the GPS sensor and send this data to the server.

[1096] Voice command analysis: The user speaks a voice command into the built-in microphone, which is then converted into text data by the voice recognition module. The server then analyzes the text data and sends the appropriate information to the smart glasses.

[1097] Posture monitoring: Uses gyro sensors and accelerometers to capture user posture data and provide feedback if an abnormality is detected.

[1098] Emotion analysis: The built-in camera captures the user's facial expressions, which are then analyzed by the emotion engine to estimate their emotional state. The server then uses this emotional data to tailor appropriate feedback and information.

[1099] 4. Example:

[1100] Initial Setup: A user puts on the smart glasses and pairs them with their smartphone. For example, "Sato" sets up the device and it's ready to go.

[1101] Information Acquisition and Distribution: When a user enters a shopping mall, the smart glasses detect their location and retrieve relevant store information from the server and display it. For example, they can display information such as "Welcome to the shopping mall. Today's special offer: 20% off all items."

[1102] Voice control: When a user issues a voice command such as "Tell me about dangerous areas," relevant safety information will be displayed on the smart glasses.

[1103] Posture correction feedback: Smart glasses monitor the user's posture and notify them to "correct their posture" if their posture deteriorates.

[1104] Emotion recognition and feedback: The built-in camera captures the user's facial expressions, and if the emotional state is determined to be "high stress," it provides feedback such as "take a break."

[1105] Example prompt sentence:

[1106] "Simulate how a user responds when approaching a dangerous area in a shopping mall, their posture worsens, and stress levels rise."

[1107] This configuration and operating procedure provides appropriate feedback according to the user's emotional state and surrounding circumstances, making it possible to improve security and reduce the user's mental stress.

[1108] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1109] Step 1: Initial Setup

[1110] The user wears the smart glasses and pairs them with their smartphone.

[1111] Input: Smartglasses and smartphone pairing request

[1112] Data processing / calculation: The smartphone app performs pairing using Bluetooth or Wi-Fi and sends initial settings (location information, notification settings, etc.) to the server.

[1113] Output: Device pairing complete and ready notification

[1114] Step 2: Obtaining and distributing location information

[1115] The smart glasses use GPS to acquire the user's location information and send it to the server. The server analyzes the relevant information based on the location information and sends it to the smart glasses.

[1116] Input: User's current location (GPS data)

[1117] Data processing / calculation: The server analyzes the location information and extracts relevant real-time information (e.g., dangerous areas, special offers, etc.).

[1118] Output: Display relevant information (e.g. "Welcome to the mall. Today's special: 20% off all items")

[1119] Step 3: Parsing voice commands

[1120] Users speak voice commands into the built-in microphone, and the smart glasses' voice recognition module converts the voice into text data, which is then sent to the server to retrieve the appropriate information.

[1121] Input: User's voice command (e.g., "Tell me about dangerous areas")

[1122] Data processing / calculation: The speech recognition module converts the speech into text data, and the server analyzes the text data to obtain relevant information.

[1123] Output: Display appropriate feedback (e.g. "Approaching a dangerous area")

[1124] Step 4: Posture monitoring

[1125] The smart glasses use gyro sensors and accelerometers to collect the user's posture data and notify the user if an abnormality is detected.

[1126] Input: User posture data

[1127] Data processing / calculation: Analyzes data obtained from the gyro sensor and accelerometer to determine whether the user's posture is abnormal.

[1128] Output: Notification when an abnormality is detected (e.g. "Please correct your posture")

[1129] Step 5: Analyze emotional state

[1130] The built-in camera captures the user's facial expressions, and the emotion engine analyzes the data to estimate their emotional state. The server then tailors the feedback and information based on this data.

[1131] Input: Facial expression data (camera capture)

[1132] Data processing / calculation: The emotion engine analyzes facial expression data and estimates the user's emotional state (e.g., stress level).

[1133] Output: Feedback based on emotional state (e.g., "Relax")

[1134] Step 6: Real-time feedback and adjustments

[1135] Based on the analytical data, the server generates appropriate feedback related to emotional state and location information and sends it to the smart glasses.

[1136] Input: Analysis results (location information, voice commands, posture data, emotional state)

[1137] Data processing / calculation: Based on comprehensive analysis on the server, optimal feedback and information is generated and sent to the smart glasses.

[1138] Output: Tailored information and notifications displayed in real time (e.g. "Relaxing music is playing")

[1139] Through these steps, users can receive seamless, real-time information and feedback.

[1140] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio 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 audio data.

[1141] 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 performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with 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.

[1142] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1143] [Third embodiment]

[1144] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1145] 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.

[1146] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1147] 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.

[1148] 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 audio in accordance with instructions from the processor 46.

[1149] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and 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 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1150] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1151] Fig. 6 shows an example of the 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.

[1152] 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.

[1153] 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.

[1154] In the headset type terminal 314, a 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.

[1155] 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."

[1156] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. Hereinafter, specific embodiments of this system will be described.

[1157] Initial Setup

[1158] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1159] Information Acquisition and Distribution

[1160] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1161] Voice control

[1162] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1163] Posture correction feedback

[1164] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1165] Specific operation examples

[1166] Initial Setup

[1167] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[1168] python

[1169] setup_device("sato")

[1170] Output: "Ready"

[1171] Information Acquisition and Distribution

[1172] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[1173] python

[1174] location = "shopping_mall"

[1175] info = fetch_information(location)

[1176] deliver_information_to_glasses("sato", info)

[1177] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[1178] Voice control

[1179] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[1180] python

[1181] process_voice_command("sato", "Tell me the latest offers")

[1182] Example output: "Today's special offer: 50% off on all footwear."

[1183] Posture correction feedback

[1184] If Sato's posture worsens, the smart glasses will provide feedback.

[1185] python

[1186] monitor_posture("sato")

[1187] Output (example): "Please correct your posture"

[1188] This system allows users to easily access the information they need through smart glasses while also reducing physical stress.

[1189] The processing flow will be explained below.

[1190] Initial Setup

[1191] Step 1:

[1192] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[1193] Step 2:

[1194] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[1195] Step 3:

[1196] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[1197] Step 4:

[1198] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[1199] Step 5:

[1200] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[1201] Information Acquisition and Distribution

[1202] Step 1:

[1203] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[1204] Step 2:

[1205] The location information acquired by the device (smart glasses) is sent to the server.

[1206] Step 3:

[1207] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[1208] Step 4:

[1209] The server sends the analysis results to the smart glasses.

[1210] Step 5:

[1211] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[1212] Voice control

[1213] Step 1:

[1214] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[1215] Step 2:

[1216] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[1217] Step 3:

[1218] The terminal (voice recognition module) converts the voice into text and analyzes it.

[1219] Step 4:

[1220] The device (smart glasses) sends the analysis results to the server.

[1221] Step 5:

[1222] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[1223] Step 6:

[1224] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[1225] Posture correction feedback

[1226] Step 1:

[1227] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[1228] Step 2:

[1229] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[1230] Example 1

[1231] 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."

[1232] In recent years, users have been seeking quick and easy access to information they need in their daily lives and work, while also reducing physical stress. Conventional information provision systems and devices require users to operate them manually, resulting in low convenience and making it difficult to obtain information and manage body posture, especially while on the move. Furthermore, voice control is insufficient, and feedback to users is limited. Therefore, there is a need for a system that can provide appropriate information based on the user's location information and perform advanced voice control and posture management.

[1233] 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.

[1234] In this invention, the server includes: means for acquiring user location information using a wearable device worn by the user and providing information based on the location information; means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands; means for monitoring the user's posture using a sensor and notifying the user of posture abnormalities; means for the server to receive the location information, analyze related information, and transmit the information to the wearable device; means for the wearable device to provide information using a display and provide feedback using voice output; and means for providing the user with necessary information and reducing physical stress by analyzing prompt sentences and providing appropriate information. This allows the user to quickly and easily obtain necessary information even while on the move, and enables advanced voice operation and posture management, thereby improving user convenience and health management.

[1235] A "wearable device" is an electronic device that is worn by the user and includes devices such as smart glasses and smart watches.

[1236] "Location information" is data indicating a user's current geographic location obtained using GPS or other location-determining means.

[1237] "Means for providing information" refers to a system configuration in which the wearable device has the function of displaying or notifying the user of relevant information based on the user's location information.

[1238] A "voice recognition module" is an electronic circuit or software program that captures the user's voice, analyzes it, and converts it into text data.

[1239] A "voice command" is a voice-based operation instruction, including verbal instructions or questions, that a user issues to a wearable device.

[1240] A "sensor" is a device for detecting the state of the user's body or the environment, and includes a gyro sensor, an accelerometer, and the like.

[1241] The "posture monitoring means" is a system configuration that uses sensors to detect the user's posture and movements and monitors changes and abnormalities in posture.

[1242] A "display" is a screen installed on a wearable device that displays visual information to the user.

[1243] "Audio output" is a function for providing information to the user by voice using a speaker or other audio playback device.

[1244] A "generative AI model" is an algorithm or program that uses artificial intelligence to analyze prompts and generate useful information for users.

[1245] A "prompt" is text data that is input into a generative AI model, and is the sentence or instruction that serves as the basis for generating relevant information through analysis.

[1246] This invention relates to a system that uses a wearable device to provide information to a user and further supports user convenience and health management through voice control and posture management. The details of this system are described below.

[1247] Initial Setup

[1248] First, the user puts on the wearable device and pairs it with their smartphone. This is done using a dedicated smartphone app. Through the app, the user performs initial setup such as Wi-Fi connection settings, consent to location sharing, and notification settings. Once the setup is complete, the device (wearable device) displays a "Ready" notification to the user. Visual notifications are provided on the display, and audio notifications are provided using audio output.

[1249] Information Acquisition and Distribution

[1250] When a user moves into a specific area, the terminal (wearable device) acquires the user's current location using the built-in GPS. The acquired location information is sent to a server, which analyzes relevant information based on the location information. The server then sends the analysis results back to the terminal, which then provides the information to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the wearable device's display. Audio output is also possible.

[1251] Voice control

[1252] A user can issue a voice command to the wearable device. For example, "Tell me the latest offers." The device's built-in microphone captures this voice and sends the voice data to the server. The server uses a generative AI model to analyze the voice data and derive appropriate information. This information is then sent back to the device and presented to the user. Specifically, it displays "Today's special offer: All shoes 50% off."

[1253] Posture correction feedback

[1254] The terminal (wearable device) is equipped with a gyro sensor and an accelerometer, which constantly monitor the user's posture. If the user's posture deteriorates, the terminal will notify the user by saying "Please correct your posture." This notification is conveyed to the user by displaying a message on the screen or by audio output.

[1255] Specific operation examples

[1256] Initial Setup

[1257] User "A" puts on the wearable device and pairs it with a smartphone.

[1258] text

[1259] User "A" displays the pairing screen using a smartphone app and completes the connection via Bluetooth.

[1260] Information Acquisition and Distribution

[1261] When user "A" enters a shopping mall, the wearable device acquires location information and retrieves and displays relevant store information from the server.

[1262] text

[1263] When user "A" enters a shopping mall, the wearable device displays "Today's Sale: 20% off all items."

[1264] Voice control

[1265] If user "A" wants to know information about a particular store, he or she can issue a voice command such as "Tell me the latest offers."

[1266] text

[1267] When user "A" says "Tell me the latest offers," the wearable device displays "Today's special offer: 50% off all shoes."

[1268] Posture correction feedback

[1269] If user "A"'s posture deteriorates, the wearable device provides feedback.

[1270] text

[1271] When user "A"'s posture deteriorates, the wearable device notifies him / her to "correct his / her posture."

[1272] This system allows users to easily obtain the information they need through a wearable device, and also allows them to manage their health through voice control and posture management.

[1273] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1274] Program processing steps

[1275] Initial Setup

[1276] Step 1:

[1277] The user turns on their smartphone and opens the dedicated app.

[1278] Input: Touch operation on smartphone

[1279] What happens: The user selects the settings option on the home screen of the smartphone app to initiate pairing mode on the wearable device.

[1280] Output: The app displays the Bluetooth pairing screen.

[1281] Step 2:

[1282] The user puts on the wearable device and pairs it with their smartphone.

[1283] Input: Bluetooth signal

[1284] Specific operation: Enable pairing mode on the wearable device and select the device from the device list displayed in the smartphone app.

[1285] Output: Pairing complete confirmation message

[1286] Step 3:

[1287] Users use the app to connect to Wi-Fi, consent to location sharing, and set notification preferences.

[1288] Input: Touch operation on the screen and required information (SSID, password, etc.)

[1289] What it does: The user selects Wi-Fi in the app's settings screen, enters the SSID and password, agrees to location sharing, and selects the type of notification.

[1290] Output: Notification of successful setup

[1291] Information Acquisition and Distribution

[1292] Step 1:

[1293] The user travels to a specific area.

[1294] Input: User's physical movement

[1295] Specific action: The user navigates to a specific area, such as a shopping mall.

[1296] Output: Wearable device acquires location information

[1297] Step 2:

[1298] The device uses its built-in GPS to determine its current location.

[1299] Input: GPS signal

[1300] Specific operation: The device uses the GPS module to determine its current location.

[1301] Output: Current location data

[1302] Step 3:

[1303] The terminal transmits the acquired location information to the server.

[1304] Input: Current location data

[1305] What it does: The device sends location information to a server via Wi-Fi or a mobile network.

[1306] Output: Receiving location information on the server side

[1307] Step 4:

[1308] The server analyzes the location information and identifies relevant information.

[1309] Input: Received location information

[1310] Specific operation: The server references the database based on the location information and extracts relevant special offers and sales information.

[1311] Output: Extracted relevant information

[1312] Step 5:

[1313] The server transmits the analyzed information to the terminal.

[1314] Input: Extracted relevant information

[1315] Specific operation: The server generates a packet to send the relevant information to the terminal and sends it over the network.

[1316] Output: Information received on the terminal

[1317] Step 6:

[1318] The terminal presents the received information to the user.

[1319] Input: Information received from the server

[1320] What it does: The device will display "Today's Sale: 20% off everything" and may also play a voice notification.

[1321] Output: Reward information presented to the user

[1322] Voice control

[1323] Step 1:

[1324] The user issues voice commands to the wearable device.

[1325] Input: Voice command (e.g. "Tell me the latest offers")

[1326] Specific action: The user speaks into the wearable device.

[1327] Output: Wearable device captures audio

[1328] Step 2:

[1329] The device's built-in microphone captures the audio and sends the audio data to the server.

[1330] Input: Audio data

[1331] Specific operation: The device's microphone records audio and sends the data to the server.

[1332] Output: Audio data received on the server side

[1333] Step 3:

[1334] The server analyzes the voice data and generates appropriate information.

[1335] Input: Received audio data

[1336] What it does: The server uses a generative AI model to convert speech to text, then analyzes the text to retrieve relevant information.

[1337] Output: Pertinent information as a result of the analysis

[1338] Step 4:

[1339] The server sends the analysis results to the terminal.

[1340] Input: Parsed information

[1341] Specific operation: The server packets the information and sends it to the terminal.

[1342] Output: Information received on the terminal

[1343] Step 5:

[1344] The terminal presents the information to the user.

[1345] Input: Analysis results received from the server

[1346] What it does: The device will display "Today's Special Offer: All Shoes 50% Off" and may also play a voice notification.

[1347] Output: Reward information presented to the user

[1348] Posture correction feedback

[1349] Step 1:

[1350] The device uses built-in sensors to monitor the user's posture.

[1351] Input: Sensor data (gyroscope, accelerometer, etc.)

[1352] Specific operation: The device monitors the user's posture in real time.

[1353] Output: Analyzed pose data

[1354] Step 2:

[1355] If the user's posture deteriorates, the device generates a warning.

[1356] Input: Parsed pose data

[1357] Specific operation: The device analyzes posture data and generates a warning if a threshold is exceeded.

[1358] Output: Warning message

[1359] Step 3:

[1360] The terminal notifies the user of the warning.

[1361] Input: warning message

[1362] Specific actions: The device will display "Please correct your posture" on the display and will also provide a voice notification if necessary.

[1363] Output: Posture correction notification presented to the user

[1364] (Application example 1)

[1365] 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."

[1366] In recent years, shopping has become increasingly difficult and physically stressful. Particularly in large commercial facilities, it can take a long time to find a product, or people often have to wander around searching for a specific item. In addition, in-store sales and offers change frequently, making it difficult to keep up with them. Furthermore, long wait times at the cash register can make shopping less enjoyable. To solve these issues and provide a more comfortable shopping experience, a system that provides real-time information using the user's location and voice commands is needed.

[1367] 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.

[1368] In this invention, the server includes a means for acquiring location information of the user using smart glasses and providing directions to a specific product, a means for acquiring real-time offer information in the store and providing it to the user, and a means for displaying the congestion status of cash registers in real time and guiding the user to the most suitable cash register. This allows the user to easily check product information and sale information through the smart glasses, enabling comfortable and efficient shopping.

[1369] "Smart glasses" are head-mounted display devices worn by users that display information and acquire data using sensors.

[1370] "Location information" is data used to identify a user's current location using GPS or other positioning systems.

[1371] A "voice recognition module" is a system that analyzes the user's voice and converts it into text or commands.

[1372] A "posture sensor" is a device that uses a gyro sensor, accelerometer, or the like to detect the posture of a user's body.

[1373] "Directions" are a means of providing directions and routes for a user to get to a particular location.

[1374] "Real-time offer information" is the latest information about current sales and special offers.

[1375] "Cashier congestion status" is real-time data on waiting times and number of people at cash registers in stores.

[1376] A "server" is a central information processing device that receives and analyzes user location information, voice commands, and the like to provide information.

[1377] A "voice command" is an instruction or command that a user inputs using voice.

[1378] A "display" is a screen or projection device for displaying visual information.

[1379] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. A specific embodiment of this system will be described below.

[1380] System configuration

[1381] The system consists of smart glasses, a smartphone, a server, a voice recognition module, and a posture sensor.

[1382] Smart glasses: Devices worn by the user that provide visual displays and audio feedback.

[1383] Smartphone: A device that pairs with smart glasses to connect via Wi-Fi and share location information.

[1384] Server: A central information processing device that analyzes location information and voice commands and provides related information.

[1385] Speech Recognition Module: A system that recognizes the user's voice commands and converts them into text or instructions.

[1386] Posture sensor: A device for monitoring the user's posture and detecting abnormalities in posture.

[1387] Initial Setup

[1388] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a dedicated smartphone app. Once the user has completed the Wi-Fi connection, location sharing, and notification settings, the smart glasses will display a notification that they are ready.

[1389] Information Acquisition and Distribution

[1390] When a user moves to a specific area, the smart glasses use GPS to obtain location information. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the smart glasses and provided to the user. For example, when a user enters a store, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses.

[1391] Directions function

[1392] When a user selects a specific product by voice, the smart glasses provide directions to the specific product. The server calculates the optimal route based on the user's location information and displays the route information in real time.

[1393] Real-time offer notifications

[1394] When a user approaches a specific product shelf while walking around the store, the smart glasses will display a pop-up with information about discounts and special offers for that product. The server constantly updates information about current sales and special offers, providing appropriate information based on the user's location.

[1395] Reduced waiting time at the register

[1396] The smart glasses display the queue status of cash registers in real time. When a user approaches a cash register, the server guides them to the most suitable cash register based on the current waiting time. The glasses also support electronic payment, allowing users to complete payments in advance through the smart glasses.

[1397] Posture correction feedback

[1398] The smart glasses' posture sensors constantly monitor the user's posture. If their posture deteriorates, they will be notified to "correct their posture." This notification is provided through both visual and audio feedback.

[1399] Specific examples

[1400] For example, if a user issues a voice command such as "Tell me the latest offers" in the electronics section of a shopping mall, the smart glasses will send the location information and the voice command to the server. The server will then analyze the information and send it to the smart glasses, displaying it as "Special Offer: All TVs 50% off."

[1401] Example prompt for a generative AI model:

[1402] "Show your current location in a shopping mall. When you enter a specific area, show offers relevant to that area. For example, in the electronics section, show all TVs for 50% off."

[1403] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1404] Step 1:

[1405] The user puts on the smart glasses and pairs them with a smartphone. The smartphone app is launched and initial settings such as Wi-Fi connection, location sharing, and notification settings are performed. The input is user operation, and the output is a notification that the smart glasses are ready.

[1406] Step 2:

[1407] The device (smart glasses) acquires the user's location information using GPS. It receives GPS data as input and generates coordinate information of the current location as output. This coordinate information is sent to the server.

[1408] Step 3:

[1409] The server analyzes the received location information and identifies information available in the user's vicinity. It analyzes the location information as input and generates related information (e.g., sales information for a specific store) as output.

[1410] Step 4:

[1411] The server sends the analyzed information to the device (smart glasses). It receives the analyzed data as input and delivers the information displayed to the user as output.

[1412] Step 5:

[1413] When a user specifies a specific product through a voice command, the device (smart glasses) converts the voice data into text data using a voice recognition module. The device receives the voice command as input and generates text data as output.

[1414] Step 6:

[1415] The server analyzes the received text data and calculates the optimal route based on the location of the product the user is looking for. It receives text data and location information as input and generates route information as output.

[1416] Step 7:

[1417] The server sends route information to the device (smart glasses). It receives route information as input and delivers route guidance to be displayed to the user as output.

[1418] Step 8:

[1419] The device (smart glasses) displays real-time offer information as a pop-up when the user approaches a product shelf in a store. It receives the user's location information and real-time offer information as input, and generates the offer information to be displayed as output.

[1420] Step 9:

[1421] The terminal (smart glasses) displays the congestion status of the cash registers in real time and guides the customer to the most suitable cash register based on data obtained from the server. It receives congestion status data as input and generates cash register guidance information as output.

[1422] Step 10:

[1423] The device (smart glasses) uses a posture sensor to monitor the user's posture and notify them if their posture deteriorates. As input, it monitors posture data and as output, it generates a notification to correct posture.

[1424] Step 11:

[1425] A generative AI model is used to create prompts for information presentation when a user asks a specific question (e.g., "What are the latest offers?"). The model takes the user's question as input and generates a prompt as output.

[1426] Furthermore, 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.

[1427] This invention is a wearable information distribution system that uses smart glasses to provide necessary information to users and reduce physical stress. Furthermore, this system incorporates an emotion engine, which analyzes the user's emotional state in real time and adds the function of adjusting display content and notification content based on the results. Specific embodiments are described below.

[1428] Initial Setup

[1429] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1430] Information Acquisition and Distribution

[1431] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1432] Voice control

[1433] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1434] Posture correction feedback

[1435] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1436] emotion recognition

[1437] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[1438] Emotion-based information provision

[1439] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[1440] Specific operation examples

[1441] Initial Setup

[1442] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[1443] python

[1444] setup_device("sato")

[1445] Output: "Ready"

[1446] Information Acquisition and Distribution

[1447] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[1448] python

[1449] location = "shopping_mall"

[1450] info = fetch_information(location)

[1451] deliver_information_to_glasses("sato", info)

[1452] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[1453] Voice control

[1454] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[1455] python

[1456] process_voice_command("sato", "Tell me the latest offers")

[1457] Example output: "Today's special offer: 50% off on all footwear."

[1458] Posture correction feedback

[1459] If Sato's posture worsens, the smart glasses will provide feedback.

[1460] python

[1461] monitor_posture("sato")

[1462] Output (example): "Please correct your posture"

[1463] Emotion Recognition and Feedback

[1464] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[1465] python

[1466] analyze_emotion_and_respond("sato")

[1467] Output (example): "Playing relaxing music to help improve your mood."

[1468] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[1469] The processing flow will be explained below.

[1470] Initial Setup

[1471] Step 1:

[1472] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[1473] Step 2:

[1474] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[1475] Step 3:

[1476] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[1477] Step 4:

[1478] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[1479] Step 5:

[1480] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[1481] Information Acquisition and Distribution

[1482] Step 1:

[1483] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[1484] Step 2:

[1485] The location information acquired by the device (smart glasses) is sent to the server.

[1486] Step 3:

[1487] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[1488] Step 4:

[1489] The server sends the analysis results to the smart glasses.

[1490] Step 5:

[1491] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[1492] Voice control

[1493] Step 1:

[1494] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[1495] Step 2:

[1496] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[1497] Step 3:

[1498] The terminal (voice recognition module) converts the voice into text and analyzes it.

[1499] Step 4:

[1500] The device (smart glasses) sends the analysis results to the server.

[1501] Step 5:

[1502] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[1503] Step 6:

[1504] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[1505] Posture correction feedback

[1506] Step 1:

[1507] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[1508] Step 2:

[1509] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[1510] emotion recognition

[1511] Step 1:

[1512] The device (smart glasses) captures the user's facial expressions using a built-in camera, which captures photos and videos of the user's face in real time.

[1513] Step 2:

[1514] The device (smart glasses) sends the captured facial expression data to the emotion engine, which analyzes the facial expression data and determines the user's emotional state (e.g., joy, sadness, surprise, anger, fear, neutral).

[1515] Step 3:

[1516] The device (smart glasses) sends the analysis results to the server in real time.

[1517] Emotion-based information provision

[1518] Step 1:

[1519] The server adjusts relevant information based on the user's emotional state. For example, if the user is feeling stressed, it recommends relaxing content (e.g., natural scenery, relaxation music).

[1520] Step 2:

[1521] The server sends relevant information to the smart glasses.

[1522] Step 3:

[1523] The device (smart glasses) displays or notifies the user of the received information. For example, if the user is excited, the device will provide a voice prompt saying, "Take a deep breath."

[1524] Specific operation examples

[1525] Initial Setup

[1526] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[1527] python

[1528] setup_device("sato")

[1529] Output: "Ready"

[1530] Information Acquisition and Distribution

[1531] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[1532] python

[1533] location = "shopping_mall"

[1534] info = fetch_information(location)

[1535] deliver_information_to_glasses("sato", info)

[1536] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[1537] Voice control

[1538] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[1539] python

[1540] process_voice_command("sato", "Tell me the latest offers")

[1541] Example output: "Today's special offer: 50% off on all footwear."

[1542] Posture correction feedback

[1543] If Sato's posture worsens, the smart glasses will provide feedback.

[1544] python

[1545] monitor_posture("sato")

[1546] Output (example): "Please correct your posture"

[1547] Emotion Recognition and Feedback

[1548] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[1549] python

[1550] analyze_emotion_and_respond("sato")

[1551] Output (example): "Playing relaxing music to help improve your mood."

[1552] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[1553] Example 2

[1554] 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."

[1555] Conventional wearable information distribution systems can only provide simple location information and voice command operation, and cannot respond to complex conditions such as the user's emotional state or poor posture, which can lead to stressful usage environments for users. Another problem is that the physical strain on the user is not reduced due to inadequate feedback.

[1556] 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.

[1557] In this invention, the server includes means for acquiring user location information using smart glasses and providing information based on the location information, means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands, means for monitoring the user's posture using a posture sensor and notifying the user of posture abnormalities, and means for analyzing the user's emotional state in real time using an emotion engine and adjusting display and notification content based on the results. This allows the user to acquire and operate information appropriately without feeling stressed, and by providing feedback according to posture and emotional state, it is possible to reduce physical and mental strain.

[1558] "Smart glasses" are wearable devices that can be worn by users and have built-in displays, sensors, cameras, etc., and are capable of displaying and acquiring information.

[1559] "Location Information" refers to the geographic location of a user's current location, and is data obtained using GPS sensors or other location-determining technologies.

[1560] A "voice recognition module" is a software or hardware feature that captures voice commands spoken by a user, analyzes them, and converts them into a form that a computer can understand.

[1561] A "posture sensor" is a sensor used to monitor the posture and movement of a user's body, and includes a gyro sensor and an accelerometer.

[1562] An "emotion engine" is a software or hardware function that analyzes data such as a user's facial expressions and voice, and determines their emotional state in real time.

[1563] "Display content" refers to all information such as text, images, and videos displayed on the smart glasses screen.

[1564] The "notification content" is the content that visually or audibly conveys information such as feedback or alerts to the user.

[1565] "Real-time" refers to data acquisition and analysis occurring in the present moment with little or no delay.

[1566] This invention is a wearable information distribution system that uses smart glasses to provide users with necessary information and reduce physical stress. Furthermore, this system incorporates an emotion engine that analyzes the user's emotional state in real time and adds the ability to adjust display and notification content based on the results.

[1567] Initial Setup

[1568] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1569] Information Acquisition and Distribution

[1570] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1571] Voice control

[1572] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1573] Posture correction feedback

[1574] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1575] emotion recognition

[1576] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[1577] Emotion-based information provision

[1578] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[1579] Specific operation examples

[1580] Initial Setup

[1581] The user wears the smart glasses and pairs them with their smartphone.

[1582] example:

[1583] "Smartglasses setup"

[1584] Information Acquisition and Distribution

[1585] When a user enters a shopping mall, the smart glasses detect the user's location and retrieve relevant store information from the server and display it.

[1586] example:

[1587] "Information distribution at shopping malls"

[1588] Voice control

[1589] The user issues the voice command "Tell me the latest offers."

[1590] example:

[1591] "Using voice commands"

[1592] Posture correction feedback

[1593] If the user's posture deteriorates, the smart glasses will provide feedback.

[1594] example:

[1595] Posture correction feedback

[1596] Emotion Recognition and Feedback

[1597] If the emotion engine determines that the user is under stress, the server will provide appropriate measures to deal with the situation.

[1598] example:

[1599] "Emotion Recognition and Feedback"

[1600] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[1601] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1602] Step 1:

[1603] Initial Setup

[1604] The user puts on the smart glasses and launches the smartphone app. The smartphone app detects the smart glasses and pairs them via Bluetooth. The input is the user's pairing operation, and the output is a notification that pairing is complete. Specifically, the user allows the Bluetooth connection on the smartphone screen, and once pairing is complete, the smart glasses display "Ready."

[1605] Step 2:

[1606] Basic settings

[1607] The user configures basic settings such as Wi-Fi settings, consent to location sharing, and notification settings on the smartphone app. The smartphone then sends the settings to the device (smart glasses). The input is the basic setting operation, and the output is a notification that the settings are complete. Specifically, the user enters the settings on the smartphone app screen, and the message "Settings complete" is displayed.

[1608] Step 3:

[1609] Obtaining location information

[1610] When a user moves into a specific area, the smart glasses use the built-in GPS sensor to obtain their current location. The device then transmits this location information to the server in real time. The input is the current location information, and the output is a notification that transmission to the server has been completed. Specifically, the smart glasses automatically capture the location information and display the message "Sending location information."

[1611] Step 4:

[1612] Information analysis and distribution

[1613] The server analyzes the location information it receives and generates appropriate information (e.g., information about nearby stores or special offers). The analyzed information is then sent back to the smart glasses and displayed on the user's screen. The input is location information, and the output is the analyzed information. Specifically, the server analyzes the location information, generates matching data, and displays the "analyzed information" on the smart glasses.

[1614] Step 5:

[1615] Speak voice commands

[1616] The user issues a voice command to the smart glasses (e.g., "Tell me the latest offers"). The smart glasses' built-in microphone captures the voice. The input is the user's voice command, and the output is the captured voice data. Specifically, the user says "Tell me the latest offers," and the smart glasses capture the voice and send it to the server.

[1617] Step 6:

[1618] Voice analysis and information provision

[1619] The device analyzes the command using a voice recognition module. The analysis results are sent to the server, which then generates appropriate information based on the command and sends it to the smart glasses. The analysis results are then displayed to the user on the screen. The input is the captured voice data, and the output is the analyzed information. Specifically, the server analyzes the voice data into the "latest offers" and displays them on the smart glasses.

[1620] Step 7:

[1621] Posture monitoring

[1622] Smart glasses are equipped with gyro sensors and accelerometers to constantly monitor the user's posture. The device analyzes these sensor data and determines whether the user's posture has deteriorated. The input is sensor data, and the output is posture feedback. Specifically, if the smart glasses determine that the user's posture is poor, they will display a message saying, "Please correct your posture."

[1623] Step 8:

[1624] Providing postural feedback

[1625] If it determines that posture has deteriorated, the device will notify the user to "correct their posture." The notification is displayed as a visual message on the display and, in some cases, an audio alert. The input is the result of analyzing the sensor data, and the output is a visual and audio notification. Specifically, the smart glasses will notify the user to "correct their posture."

[1626] Step 9:

[1627] Capturing emotions

[1628] The smart glasses' built-in camera captures the user's facial expressions. The facial expression data is analyzed by the device's emotion engine. The input is facial expression data, and the output is the analysis results. Specifically, the smart glasses capture the user's facial expressions with the camera, and the message "Analyzing emotional state" is displayed.

[1629] Step 10:

[1630] Emotion analysis and response

[1631] The emotion engine analyzes the facial expression data and determines the user's emotional state. The analysis results are sent to the server, which then generates appropriate information based on the user's emotional state and sends it to the smart glasses. The input is the analysis results of the facial expression data, and the output is appropriate feedback information. Specifically, the smart glasses notify the user, "Stress has been detected. Relaxing music will be played," and then play music.

[1632] (Application example 2)

[1633] 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."

[1634] Conventional information distribution systems using smart glasses were limited to providing information based on the user's location information or voice commands. As a result, they were unable to take into account the user's emotional state and were insufficiently effective in reducing mental stress. Furthermore, in the field of security services, there is a demand for systems that can monitor the surrounding situation in real time and respond quickly, but this demand has not been fully met by conventional technology.

[1635] 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.

[1636] In this invention, the server includes means for providing information based on the user's location information, means for updating information based on the user's voice commands, and means for capturing the user's facial expressions using a built-in camera and analyzing them with an emotion engine to adjust notifications and information based on the user's emotional state. This enables appropriate feedback according to the user's emotional state, reduces mental stress, and enables quick and appropriate responses in the field of security services.

[1637] "Smart glasses" are a type of wearable device, a pair of glasses equipped with a display, camera, and sensors.

[1638] "Location information" refers to the user's current geographical location, and is data primarily obtained using GPS.

[1639] A "voice recognition module" is a piece of software or hardware that analyzes a user's voice commands, converts them into text data, and enables system operation.

[1640] A "posture sensor" is a sensor fusion device that includes a gyro sensor and an accelerometer, and is used to detect the tilt and movement of the user's body and monitor their posture.

[1641] The "built-in camera" is a camera built into smart glasses, a device that has the function of capturing the user's facial expressions and the surrounding environment.

[1642] The "emotion engine" is an analytics engine that analyzes the user's facial expressions and voice data to estimate their emotional state in real time.

[1643] "Notifications" refer to alerts or information directed to the user, which are communicated through the smart glasses' display or audio output.

[1644] "Feedback" refers to the response that the system gives to the user, and is information provided through audio or visual displays.

[1645] This invention realizes a wearable smart glasses-type system for security services that obtains a user's location information, voice commands, posture, and emotional state in real time and provides feedback based on this information. To implement this system, the following elements must be included:

[1646] 1. Hardware configuration:

[1647] Smart glasses: Includes a display, built-in camera, gyro sensor, accelerometer, and built-in microphone.

[1648] Server: Has the function of receiving the user's location information, analyzing the relevant information, and sending it to the smart glasses.

[1649] Smartphone: Used to pair with smart glasses for initial setup and communication.

[1650] 2. Software configuration:

[1651] Speech Recognition Module: Parses the user's voice commands and retrieves or updates the appropriate information.

[1652] Emotion engine: Analyzes the user's facial expressions captured by the built-in camera and estimates their emotional state.

[1653] Analysis engine: Analyzes relevant information based on location and emotion data on the server side.

[1654] 3. Data processing and calculation:

[1655] Location information acquisition: The smart glasses acquire the user's location information using the GPS sensor and send this data to the server.

[1656] Voice command analysis: The user speaks a voice command into the built-in microphone, which is then converted into text data by the voice recognition module. The server then analyzes the text data and sends the appropriate information to the smart glasses.

[1657] Posture monitoring: Uses gyro sensors and accelerometers to capture user posture data and provide feedback if an abnormality is detected.

[1658] Emotion analysis: The built-in camera captures the user's facial expressions, which are then analyzed by the emotion engine to estimate their emotional state. The server then uses this emotional data to tailor appropriate feedback and information.

[1659] 4. Example:

[1660] Initial Setup: A user puts on the smart glasses and pairs them with their smartphone. For example, "Sato" sets up the device and it's ready to go.

[1661] Information Acquisition and Distribution: When a user enters a shopping mall, the smart glasses detect their location and retrieve relevant store information from the server and display it. For example, they can display information such as "Welcome to the shopping mall. Today's special offer: 20% off all items."

[1662] Voice control: When a user issues a voice command such as "Tell me about dangerous areas," relevant safety information will be displayed on the smart glasses.

[1663] Posture correction feedback: Smart glasses monitor the user's posture and notify them to "correct their posture" if their posture deteriorates.

[1664] Emotion recognition and feedback: The built-in camera captures the user's facial expressions, and if the emotional state is determined to be "high stress," it provides feedback such as "take a break."

[1665] Example prompt sentence:

[1666] "Simulate how a user responds when approaching a dangerous area in a shopping mall, their posture worsens, and stress levels rise."

[1667] This configuration and operating procedure provides appropriate feedback according to the user's emotional state and surrounding circumstances, making it possible to improve security and reduce the user's mental stress.

[1668] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1669] Step 1: Initial Setup

[1670] The user wears the smart glasses and pairs them with their smartphone.

[1671] Input: Smartglasses and smartphone pairing request

[1672] Data processing / calculation: The smartphone app performs pairing using Bluetooth or Wi-Fi and sends initial settings (location information, notification settings, etc.) to the server.

[1673] Output: Device pairing complete and ready notification

[1674] Step 2: Obtaining and distributing location information

[1675] The smart glasses use GPS to acquire the user's location information and send it to the server. The server analyzes the relevant information based on the location information and sends it to the smart glasses.

[1676] Input: User's current location (GPS data)

[1677] Data processing / calculation: The server analyzes the location information and extracts relevant real-time information (e.g., dangerous areas, special offers, etc.).

[1678] Output: Display relevant information (e.g. "Welcome to the mall. Today's special: 20% off all items")

[1679] Step 3: Parsing voice commands

[1680] Users speak voice commands into the built-in microphone, and the smart glasses' voice recognition module converts the voice into text data, which is then sent to the server to retrieve the appropriate information.

[1681] Input: User's voice command (e.g., "Tell me about dangerous areas")

[1682] Data processing / calculation: The speech recognition module converts the speech into text data, and the server analyzes the text data to obtain relevant information.

[1683] Output: Display appropriate feedback (e.g. "Approaching a dangerous area")

[1684] Step 4: Posture monitoring

[1685] The smart glasses use gyro sensors and accelerometers to collect the user's posture data and notify the user if an abnormality is detected.

[1686] Input: User posture data

[1687] Data processing / calculation: Analyzes data obtained from the gyro sensor and accelerometer to determine whether the user's posture is abnormal.

[1688] Output: Notification when an abnormality is detected (e.g. "Please correct your posture")

[1689] Step 5: Analyze emotional state

[1690] The built-in camera captures the user's facial expressions, and the emotion engine analyzes the data to estimate their emotional state. The server then tailors the feedback and information based on this data.

[1691] Input: Facial expression data (camera capture)

[1692] Data processing / calculation: The emotion engine analyzes facial expression data and estimates the user's emotional state (e.g., stress level).

[1693] Output: Feedback based on emotional state (e.g., "Relax")

[1694] Step 6: Real-time feedback and adjustments

[1695] Based on the analytical data, the server generates appropriate feedback related to emotional state and location information and sends it to the smart glasses.

[1696] Input: Analysis results (location information, voice commands, posture data, emotional state)

[1697] Data processing / calculation: Based on comprehensive analysis on the server, optimal feedback and information is generated and sent to the smart glasses.

[1698] Output: Tailored information and notifications displayed in real time (e.g. "Relaxing music is playing")

[1699] Through these steps, users can receive seamless, real-time information and feedback.

[1700] 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 audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio 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 audio data.

[1701] 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 performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with 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.

[1702] 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.

[1703] [Fourth embodiment]

[1704] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1705] 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.

[1706] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1707] 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. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1708] 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 audio in accordance with instructions from the processor 46.

[1709] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and 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 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1710] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1711] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the 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.

[1712] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1713] 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.

[1714] 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.

[1715] In the robot 414, the processor 46 performs the reception output process. 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.

[1716] Next, a description will be given of the specific processing performed 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."

[1717] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. Hereinafter, specific embodiments of this system will be described.

[1718] Initial Setup

[1719] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1720] Information Acquisition and Distribution

[1721] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1722] Voice control

[1723] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1724] Posture correction feedback

[1725] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1726] Specific operation examples

[1727] Initial Setup

[1728] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[1729] python

[1730] setup_device("sato")

[1731] Output: "Ready"

[1732] Information Acquisition and Distribution

[1733] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[1734] python

[1735] location = "shopping_mall"

[1736] info = fetch_information(location)

[1737] deliver_information_to_glasses("sato", info)

[1738] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[1739] Voice control

[1740] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[1741] python

[1742] process_voice_command("sato", "Tell me the latest offers")

[1743] Example output: "Today's special offer: 50% off on all footwear."

[1744] Posture correction feedback

[1745] If Sato's posture worsens, the smart glasses will provide feedback.

[1746] python

[1747] monitor_posture("sato")

[1748] Output (example): "Please correct your posture"

[1749] This system allows users to easily access the information they need through smart glasses while also reducing physical stress.

[1750] The processing flow will be explained below.

[1751] Initial Setup

[1752] Step 1:

[1753] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[1754] Step 2:

[1755] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[1756] Step 3:

[1757] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[1758] Step 4:

[1759] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[1760] Step 5:

[1761] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[1762] Information Acquisition and Distribution

[1763] Step 1:

[1764] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[1765] Step 2:

[1766] The location information acquired by the device (smart glasses) is sent to the server.

[1767] Step 3:

[1768] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[1769] Step 4:

[1770] The server sends the analysis results to the smart glasses.

[1771] Step 5:

[1772] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[1773] Voice control

[1774] Step 1:

[1775] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[1776] Step 2:

[1777] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[1778] Step 3:

[1779] The terminal (voice recognition module) converts the voice into text and analyzes it.

[1780] Step 4:

[1781] The device (smart glasses) sends the analysis results to the server.

[1782] Step 5:

[1783] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[1784] Step 6:

[1785] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[1786] Posture correction feedback

[1787] Step 1:

[1788] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[1789] Step 2:

[1790] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[1791] Example 1

[1792] 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 robot 414 will be referred to as a "terminal."

[1793] In recent years, users have been seeking quick and easy access to information they need in their daily lives and work, while also reducing physical stress. Conventional information provision systems and devices require users to operate them manually, resulting in low convenience and making it difficult to obtain information and manage body posture, especially while on the move. Furthermore, voice control is insufficient, and feedback to users is limited. Therefore, there is a need for a system that can provide appropriate information based on the user's location information and perform advanced voice control and posture management.

[1794] 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.

[1795] In this invention, the server includes: means for acquiring user location information using a wearable device worn by the user and providing information based on the location information; means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands; means for monitoring the user's posture using a sensor and notifying the user of posture abnormalities; means for the server to receive the location information, analyze related information, and transmit the information to the wearable device; means for the wearable device to provide information using a display and provide feedback using voice output; and means for providing the user with necessary information and reducing physical stress by analyzing prompt sentences and providing appropriate information. This allows the user to quickly and easily obtain necessary information even while on the move, and enables advanced voice operation and posture management, thereby improving user convenience and health management.

[1796] A "wearable device" is an electronic device that is worn by the user and includes devices such as smart glasses and smart watches.

[1797] "Location information" is data indicating a user's current geographic location obtained using GPS or other location-determining means.

[1798] "Means for providing information" refers to a system configuration in which the wearable device has the function of displaying or notifying the user of relevant information based on the user's location information.

[1799] A "voice recognition module" is an electronic circuit or software program that captures the user's voice, analyzes it, and converts it into text data.

[1800] A "voice command" is a voice-based operation instruction, including verbal instructions or questions, that a user issues to a wearable device.

[1801] A "sensor" is a device for detecting the state of the user's body or the environment, and includes a gyro sensor, an accelerometer, and the like.

[1802] The "posture monitoring means" is a system configuration that uses sensors to detect the user's posture and movements and monitors changes and abnormalities in posture.

[1803] A "display" is a screen installed on a wearable device that displays visual information to the user.

[1804] "Audio output" is a function for providing information to the user by voice using a speaker or other audio playback device.

[1805] A "generative AI model" is an algorithm or program that uses artificial intelligence to analyze prompts and generate useful information for users.

[1806] A "prompt" is text data that is input into a generative AI model, and is the sentence or instruction that serves as the basis for generating relevant information through analysis.

[1807] This invention relates to a system that uses a wearable device to provide information to a user and further supports user convenience and health management through voice control and posture management. The details of this system are described below.

[1808] Initial Setup

[1809] First, the user puts on the wearable device and pairs it with their smartphone. This is done using a dedicated smartphone app. Through the app, the user performs initial setup such as Wi-Fi connection settings, consent to location sharing, and notification settings. Once the setup is complete, the device (wearable device) displays a "Ready" notification to the user. Visual notifications are provided on the display, and audio notifications are provided using audio output.

[1810] Information Acquisition and Distribution

[1811] When a user moves into a specific area, the terminal (wearable device) acquires the user's current location using the built-in GPS. The acquired location information is sent to a server, which analyzes relevant information based on the location information. The server then sends the analysis results back to the terminal, which then provides the information to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the wearable device's display. Audio output is also possible.

[1812] Voice control

[1813] A user can issue a voice command to the wearable device. For example, "Tell me the latest offers." The device's built-in microphone captures this voice and sends the voice data to the server. The server uses a generative AI model to analyze the voice data and derive appropriate information. This information is then sent back to the device and presented to the user. Specifically, it displays "Today's special offer: All shoes 50% off."

[1814] Posture correction feedback

[1815] The terminal (wearable device) is equipped with a gyro sensor and an accelerometer, which constantly monitor the user's posture. If the user's posture deteriorates, the terminal will notify the user by saying "Please correct your posture." This notification is conveyed to the user by displaying a message on the screen or by audio output.

[1816] Specific operation examples

[1817] Initial Setup

[1818] User "A" puts on the wearable device and pairs it with a smartphone.

[1819] text

[1820] User "A" displays the pairing screen using a smartphone app and completes the connection via Bluetooth.

[1821] Information Acquisition and Distribution

[1822] When user "A" enters a shopping mall, the wearable device acquires location information and retrieves and displays relevant store information from the server.

[1823] text

[1824] When user "A" enters a shopping mall, the wearable device displays "Today's Sale: 20% off all items."

[1825] Voice control

[1826] If user "A" wants to know information about a particular store, he or she can issue a voice command such as "Tell me the latest offers."

[1827] text

[1828] When user "A" says "Tell me the latest offers," the wearable device displays "Today's special offer: 50% off all shoes."

[1829] Posture correction feedback

[1830] If user "A"'s posture deteriorates, the wearable device provides feedback.

[1831] text

[1832] When user "A"'s posture deteriorates, the wearable device notifies him / her to "correct his / her posture."

[1833] This system allows users to easily obtain the information they need through a wearable device, and also allows them to manage their health through voice control and posture management.

[1834] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1835] Program processing steps

[1836] Initial Setup

[1837] Step 1:

[1838] The user turns on their smartphone and opens the dedicated app.

[1839] Input: Touch operation on smartphone

[1840] What happens: The user selects the settings option on the home screen of the smartphone app to initiate pairing mode on the wearable device.

[1841] Output: The app displays the Bluetooth pairing screen.

[1842] Step 2:

[1843] The user puts on the wearable device and pairs it with their smartphone.

[1844] Input: Bluetooth signal

[1845] Specific operation: Enable pairing mode on the wearable device and select the device from the device list displayed in the smartphone app.

[1846] Output: Pairing complete confirmation message

[1847] Step 3:

[1848] Users use the app to connect to Wi-Fi, consent to location sharing, and set notification preferences.

[1849] Input: Touch operation on the screen and required information (SSID, password, etc.)

[1850] What it does: The user selects Wi-Fi in the app's settings screen, enters the SSID and password, agrees to location sharing, and selects the type of notification.

[1851] Output: Notification of successful setup

[1852] Information Acquisition and Distribution

[1853] Step 1:

[1854] The user travels to a specific area.

[1855] Input: User's physical movement

[1856] Specific action: The user navigates to a specific area, such as a shopping mall.

[1857] Output: Wearable device acquires location information

[1858] Step 2:

[1859] The device uses its built-in GPS to determine its current location.

[1860] Input: GPS signal

[1861] Specific operation: The device uses the GPS module to determine its current location.

[1862] Output: Current location data

[1863] Step 3:

[1864] The terminal transmits the acquired location information to the server.

[1865] Input: Current location data

[1866] What it does: The device sends location information to a server via Wi-Fi or a mobile network.

[1867] Output: Receiving location information on the server side

[1868] Step 4:

[1869] The server analyzes the location information and identifies relevant information.

[1870] Input: Received location information

[1871] Specific operation: The server references the database based on the location information and extracts relevant special offers and sales information.

[1872] Output: Extracted relevant information

[1873] Step 5:

[1874] The server transmits the analyzed information to the terminal.

[1875] Input: Extracted relevant information

[1876] Specific operation: The server generates a packet to send the relevant information to the terminal and sends it over the network.

[1877] Output: Information received on the terminal

[1878] Step 6:

[1879] The terminal presents the received information to the user.

[1880] Input: Information received from the server

[1881] What it does: The device will display "Today's Sale: 20% off everything" and may also play a voice notification.

[1882] Output: Reward information presented to the user

[1883] Voice control

[1884] Step 1:

[1885] The user issues voice commands to the wearable device.

[1886] Input: Voice command (e.g. "Tell me the latest offers")

[1887] Specific action: The user speaks into the wearable device.

[1888] Output: Wearable device captures audio

[1889] Step 2:

[1890] The device's built-in microphone captures the audio and sends the audio data to the server.

[1891] Input: Audio data

[1892] Specific operation: The device's microphone records audio and sends the data to the server.

[1893] Output: Audio data received on the server side

[1894] Step 3:

[1895] The server analyzes the voice data and generates appropriate information.

[1896] Input: Received audio data

[1897] What it does: The server uses a generative AI model to convert speech to text, then analyzes the text to retrieve relevant information.

[1898] Output: Pertinent information as a result of the analysis

[1899] Step 4:

[1900] The server sends the analysis results to the terminal.

[1901] Input: Parsed information

[1902] Specific operation: The server packets the information and sends it to the terminal.

[1903] Output: Information received on the terminal

[1904] Step 5:

[1905] The terminal presents the information to the user.

[1906] Input: Analysis results received from the server

[1907] What it does: The device will display "Today's Special Offer: All Shoes 50% Off" and may also play a voice notification.

[1908] Output: Reward information presented to the user

[1909] Posture correction feedback

[1910] Step 1:

[1911] The device uses built-in sensors to monitor the user's posture.

[1912] Input: Sensor data (gyroscope, accelerometer, etc.)

[1913] Specific operation: The device monitors the user's posture in real time.

[1914] Output: Analyzed pose data

[1915] Step 2:

[1916] If the user's posture deteriorates, the device generates a warning.

[1917] Input: Parsed pose data

[1918] Specific operation: The device analyzes posture data and generates a warning if a threshold is exceeded.

[1919] Output: Warning message

[1920] Step 3:

[1921] The terminal notifies the user of the warning.

[1922] Input: warning message

[1923] Specific actions: The device will display "Please correct your posture" on the display and will also provide a voice notification if necessary.

[1924] Output: Posture correction notification presented to the user

[1925] (Application example 1)

[1926] 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."

[1927] In recent years, shopping has become increasingly difficult and physically stressful. Particularly in large commercial facilities, it can take a long time to find a product, or people often have to wander around searching for a specific item. In addition, in-store sales and offers change frequently, making it difficult to keep up with them. Furthermore, long wait times at the cash register can make shopping less enjoyable. To solve these issues and provide a more comfortable shopping experience, a system that provides real-time information using the user's location and voice commands is needed.

[1928] 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.

[1929] In this invention, the server includes a means for acquiring location information of the user using smart glasses and providing directions to a specific product, a means for acquiring real-time offer information in the store and providing it to the user, and a means for displaying the congestion status of cash registers in real time and guiding the user to the most suitable cash register. This allows the user to easily check product information and sale information through the smart glasses, enabling comfortable and efficient shopping.

[1930] "Smart glasses" are head-mounted display devices worn by users that display information and acquire data using sensors.

[1931] "Location information" is data used to identify a user's current location using GPS or other positioning systems.

[1932] A "voice recognition module" is a system that analyzes the user's voice and converts it into text or commands.

[1933] A "posture sensor" is a device that uses a gyro sensor, accelerometer, or the like to detect the posture of a user's body.

[1934] "Directions" are a means of providing directions and routes for a user to get to a particular location.

[1935] "Real-time offer information" is the latest information about current sales and special offers.

[1936] "Cashier congestion status" is real-time data on waiting times and number of people at cash registers in stores.

[1937] A "server" is a central information processing device that receives and analyzes user location information, voice commands, and the like to provide information.

[1938] A "voice command" is an instruction or command that a user inputs using voice.

[1939] A "display" is a screen or projection device for displaying visual information.

[1940] The present invention relates to a wearable information distribution system that uses smart glasses to provide necessary information to a user and reduce physical stress. A specific embodiment of this system will be described below.

[1941] System configuration

[1942] The system consists of smart glasses, a smartphone, a server, a voice recognition module, and a posture sensor.

[1943] Smart glasses: Devices worn by the user that provide visual displays and audio feedback.

[1944] Smartphone: A device that pairs with smart glasses to connect via Wi-Fi and share location information.

[1945] Server: A central information processing device that analyzes location information and voice commands and provides related information.

[1946] Speech Recognition Module: A system that recognizes the user's voice commands and converts them into text or instructions.

[1947] Posture sensor: A device for monitoring the user's posture and detecting abnormalities in posture.

[1948] Initial Setup

[1949] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a dedicated smartphone app. Once the user has completed the Wi-Fi connection, location sharing, and notification settings, the smart glasses will display a notification that they are ready.

[1950] Information Acquisition and Distribution

[1951] When a user moves to a specific area, the smart glasses use GPS to obtain location information. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the smart glasses and provided to the user. For example, when a user enters a store, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses.

[1952] Directions function

[1953] When a user selects a specific product by voice, the smart glasses provide directions to the specific product. The server calculates the optimal route based on the user's location information and displays the route information in real time.

[1954] Real-time offer notifications

[1955] When a user approaches a specific product shelf while walking around the store, the smart glasses will display a pop-up with information about discounts and special offers for that product. The server constantly updates information about current sales and special offers, providing appropriate information based on the user's location.

[1956] Reduced waiting time at the register

[1957] The smart glasses display the queue status of cash registers in real time. When a user approaches a cash register, the server guides them to the most suitable cash register based on the current waiting time. The glasses also support electronic payment, allowing users to complete payments in advance through the smart glasses.

[1958] Posture correction feedback

[1959] The smart glasses' posture sensors constantly monitor the user's posture. If their posture deteriorates, they will be notified to "correct their posture." This notification is provided through both visual and audio feedback.

[1960] Specific examples

[1961] For example, if a user issues a voice command such as "Tell me the latest offers" in the electronics section of a shopping mall, the smart glasses will send the location information and the voice command to the server. The server will then analyze the information and send it to the smart glasses, displaying it as "Special Offer: All TVs 50% off."

[1962] Example prompt for a generative AI model:

[1963] "Show your current location in a shopping mall. When you enter a specific area, show offers relevant to that area. For example, in the electronics section, show all TVs for 50% off."

[1964] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1965] Step 1:

[1966] The user puts on the smart glasses and pairs them with a smartphone. The smartphone app is launched and initial settings such as Wi-Fi connection, location sharing, and notification settings are performed. The input is user operation, and the output is a notification that the smart glasses are ready.

[1967] Step 2:

[1968] The device (smart glasses) acquires the user's location information using GPS. It receives GPS data as input and generates coordinate information of the current location as output. This coordinate information is sent to the server.

[1969] Step 3:

[1970] The server analyzes the received location information and identifies information available in the user's vicinity. It analyzes the location information as input and generates related information (e.g., sales information for a specific store) as output.

[1971] Step 4:

[1972] The server sends the analyzed information to the device (smart glasses). It receives the analyzed data as input and delivers the information displayed to the user as output.

[1973] Step 5:

[1974] When a user specifies a specific product through a voice command, the device (smart glasses) converts the voice data into text data using a voice recognition module. The device receives the voice command as input and generates text data as output.

[1975] Step 6:

[1976] The server analyzes the received text data and calculates the optimal route based on the location of the product the user is looking for. It receives text data and location information as input and generates route information as output.

[1977] Step 7:

[1978] The server sends route information to the device (smart glasses). It receives route information as input and delivers route guidance to be displayed to the user as output.

[1979] Step 8:

[1980] The device (smart glasses) displays real-time offer information as a pop-up when the user approaches a product shelf in a store. It receives the user's location information and real-time offer information as input, and generates the offer information to be displayed as output.

[1981] Step 9:

[1982] The terminal (smart glasses) displays the congestion status of the cash registers in real time and guides the customer to the most suitable cash register based on data obtained from the server. It receives congestion status data as input and generates cash register guidance information as output.

[1983] Step 10:

[1984] The device (smart glasses) uses a posture sensor to monitor the user's posture and notify them if their posture deteriorates. As input, it monitors posture data and as output, it generates a notification to correct posture.

[1985] Step 11:

[1986] A generative AI model is used to create prompts for information presentation when a user asks a specific question (e.g., "What are the latest offers?"). The model takes the user's question as input and generates a prompt as output.

[1987] Furthermore, 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.

[1988] This invention is a wearable information distribution system that uses smart glasses to provide necessary information to users and reduce physical stress. Furthermore, this system incorporates an emotion engine, which analyzes the user's emotional state in real time and adds the function of adjusting display content and notification content based on the results. Specific embodiments are described below.

[1989] Initial Setup

[1990] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[1991] Information Acquisition and Distribution

[1992] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[1993] Voice control

[1994] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[1995] Posture correction feedback

[1996] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[1997] emotion recognition

[1998] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[1999] Emotion-based information provision

[2000] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[2001] Specific operation examples

[2002] Initial Setup

[2003] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[2004] python

[2005] setup_device("sato")

[2006] Output: "Ready"

[2007] Information Acquisition and Distribution

[2008] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[2009] python

[2010] location = "shopping_mall"

[2011] info = fetch_information(location)

[2012] deliver_information_to_glasses("sato", info)

[2013] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[2014] Voice control

[2015] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[2016] python

[2017] process_voice_command("sato", "Tell me the latest offers")

[2018] Example output: "Today's special offer: 50% off on all footwear."

[2019] Posture correction feedback

[2020] If Sato's posture worsens, the smart glasses will provide feedback.

[2021] python

[2022] monitor_posture("sato")

[2023] Output (example): "Please correct your posture"

[2024] Emotion Recognition and Feedback

[2025] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[2026] python

[2027] analyze_emotion_and_respond("sato")

[2028] Output (example): "Playing relaxing music to help improve your mood."

[2029] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[2030] The processing flow will be explained below.

[2031] Initial Setup

[2032] Step 1:

[2033] The user puts on the smart glasses and launches the smartphone app, which detects the smart glasses and enters pairing mode.

[2034] Step 2:

[2035] The device (smartphone app) generates a code for pairing with the smart glasses and displays it to the user, who then enters this code into the smart glasses or scans the QR code.

[2036] Step 3:

[2037] The device (smart glasses) receives the pairing code and connects to the smartphone via Bluetooth. If the connection is successful, the app will display a "Pairing complete" notification.

[2038] Step 4:

[2039] The device (smartphone app) starts a basic settings wizard, prompting the user to enter information such as Wi-Fi connection, location sharing consent, and notification settings.

[2040] Step 5:

[2041] The device (smart glasses) will confirm that the setup is complete and display "Device is ready."

[2042] Information Acquisition and Distribution

[2043] Step 1:

[2044] The user moves to a specific area, such as a shopping mall. The smart glasses use GPS to obtain their current location.

[2045] Step 2:

[2046] The location information acquired by the device (smart glasses) is sent to the server.

[2047] Step 3:

[2048] Based on the location information received by the server, related information (e.g., store information, sale information) is searched for and analyzed.

[2049] Step 4:

[2050] The server sends the analysis results to the smart glasses.

[2051] Step 5:

[2052] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's sale: 20% off all items" is displayed.

[2053] Voice control

[2054] Step 1:

[2055] The user speaks a voice command into the smart glasses, for example, "Tell me the latest offers."

[2056] Step 2:

[2057] The device (smart glasses) captures the voice using the built-in microphone and transmits it to the voice recognition module.

[2058] Step 3:

[2059] The terminal (voice recognition module) converts the voice into text and analyzes it.

[2060] Step 4:

[2061] The device (smart glasses) sends the analysis results to the server.

[2062] Step 5:

[2063] The server retrieves the appropriate information (e.g., the latest special offers) based on the voice command and sends it to the smart glasses.

[2064] Step 6:

[2065] The device (smart glasses) displays the received information to the user. For example, a message such as "Today's special offer: All shoes 50% off" is displayed.

[2066] Posture correction feedback

[2067] Step 1:

[2068] The device (smart glasses) constantly monitors the user's posture using the built-in gyro sensor and accelerometer, and analyzes the sensor values ​​to determine whether the user's posture is good.

[2069] Step 2:

[2070] If the device (smart glasses) determines that the user's posture has deteriorated, it will display a notification to the user saying, "Please correct your posture." The notification may be not only displayed visually, but also provided as audio.

[2071] emotion recognition

[2072] Step 1:

[2073] The device (smart glasses) captures the user's facial expressions using a built-in camera, which captures photos and videos of the user's face in real time.

[2074] Step 2:

[2075] The device (smart glasses) sends the captured facial expression data to the emotion engine, which analyzes the facial expression data and determines the user's emotional state (e.g., joy, sadness, surprise, anger, fear, neutral).

[2076] Step 3:

[2077] The device (smart glasses) sends the analysis results to the server in real time.

[2078] Emotion-based information provision

[2079] Step 1:

[2080] The server adjusts relevant information based on the user's emotional state. For example, if the user is feeling stressed, it recommends relaxing content (e.g., natural scenery, relaxation music).

[2081] Step 2:

[2082] The server sends relevant information to the smart glasses.

[2083] Step 3:

[2084] The device (smart glasses) displays or notifies the user of the received information. For example, if the user is excited, the device will provide a voice prompt saying, "Take a deep breath."

[2085] Specific operation examples

[2086] Initial Setup

[2087] User "Sato" puts on the smart glasses and pairs them with his smartphone.

[2088] python

[2089] setup_device("sato")

[2090] Output: "Ready"

[2091] Information Acquisition and Distribution

[2092] When Sato enters a shopping mall, the smart glasses detect his location and retrieve relevant store information from the server and display it.

[2093] python

[2094] location = "shopping_mall"

[2095] info = fetch_information(location)

[2096] deliver_information_to_glasses("sato", info)

[2097] Example output: "Welcome to the shopping mall. Specials today: 20% off electronics."

[2098] Voice control

[2099] If Sato wants to know information about a specific store, he can issue a voice command such as, "Tell me the latest offers."

[2100] python

[2101] process_voice_command("sato", "Tell me the latest offers")

[2102] Example output: "Today's special offer: 50% off on all footwear."

[2103] Posture correction feedback

[2104] If Sato's posture worsens, the smart glasses will provide feedback.

[2105] python

[2106] monitor_posture("sato")

[2107] Output (example): "Please correct your posture"

[2108] Emotion Recognition and Feedback

[2109] If the emotion engine determines that Sato is stressed, the server will provide appropriate solutions, such as playing relaxing music.

[2110] python

[2111] analyze_emotion_and_respond("sato")

[2112] Output (example): "Playing relaxing music to help improve your mood."

[2113] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[2114] Example 2

[2115] 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 robot 414 will be referred to as a "terminal."

[2116] Conventional wearable information distribution systems can only provide simple location information and voice command operation, and cannot respond to complex conditions such as the user's emotional state or poor posture, which can lead to stressful usage environments for users. Another problem is that the physical strain on the user is not reduced due to inadequate feedback.

[2117] 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.

[2118] In this invention, the server includes means for acquiring user location information using smart glasses and providing information based on the location information, means for acquiring user voice commands using a voice recognition module and updating information based on the voice commands, means for monitoring the user's posture using a posture sensor and notifying the user of posture abnormalities, and means for analyzing the user's emotional state in real time using an emotion engine and adjusting display and notification content based on the results. This allows the user to acquire and operate information appropriately without feeling stressed, and by providing feedback according to posture and emotional state, it is possible to reduce physical and mental strain.

[2119] "Smart glasses" are wearable devices that can be worn by users and have built-in displays, sensors, cameras, etc., and are capable of displaying and acquiring information.

[2120] "Location Information" refers to the geographic location of a user's current location, and is data obtained using GPS sensors or other location-determining technologies.

[2121] A "voice recognition module" is a software or hardware feature that captures voice commands spoken by a user, analyzes them, and converts them into a form that a computer can understand.

[2122] A "posture sensor" is a sensor used to monitor the posture and movement of a user's body, and includes a gyro sensor and an accelerometer.

[2123] An "emotion engine" is a software or hardware function that analyzes data such as a user's facial expressions and voice, and determines their emotional state in real time.

[2124] "Display content" refers to all information such as text, images, and videos displayed on the smart glasses screen.

[2125] The "notification content" is the content that visually or audibly conveys information such as feedback or alerts to the user.

[2126] "Real-time" refers to data acquisition and analysis occurring in the present moment with little or no delay.

[2127] This invention is a wearable information distribution system that uses smart glasses to provide users with necessary information and reduce physical stress. Furthermore, this system incorporates an emotion engine that analyzes the user's emotional state in real time and adds the ability to adjust display and notification content based on the results.

[2128] Initial Setup

[2129] First, the user puts on the smart glasses and pairs them with their smartphone. This setup is done through a smartphone app, where the user configures basic settings such as Wi-Fi connection, location sharing consent, and notification settings. Once the setup is complete, the device (smart glasses) displays a notification to the user that they are ready.

[2130] Information Acquisition and Distribution

[2131] When a user moves to a specific area, the device (smart glasses) acquires location information using GPS. The server receives this location information and analyzes the relevant information. The analyzed information is sent to the device (smart glasses) and provided to the user. For example, when a user enters a shopping mall, information such as "Today's Sale: 20% off all items" is displayed on the smart glasses display.

[2132] Voice control

[2133] Users can issue voice commands to the smart glasses. For example, if they say, "Tell me the latest offers," the built-in microphone in the device (smart glasses) captures the voice, which is then analyzed by the voice recognition module. The analysis results are sent to the server, which provides appropriate information based on the command. The analyzed information is then returned to the device (smart glasses) and displayed, for example, "Today's special offer: All shoes 50% off."

[2134] Posture correction feedback

[2135] The device (smart glasses) is equipped with sensors (gyro sensor and accelerometer) to monitor the user's posture. This allows the device to constantly monitor the user's current posture. If the device determines that the user's posture has deteriorated, it will notify the user to "correct their posture." This notification is not only displayed visually, but in some cases is also provided as audio.

[2136] emotion recognition

[2137] Smart glasses are equipped with a built-in camera that can capture the user's facial expressions. The captured facial expression data is sent to the emotion engine in the device (smart glasses). The emotion engine analyzes this data and understands the user's emotional state.

[2138] Emotion-based information provision

[2139] The device (smart glasses) sends the analysis results to a server. The server then adjusts the relevant information based on the user's emotional state and sends it to the smart glasses. For example, if the user is feeling stressed, it will provide relaxing music or scenery information. If the user is excited, it will display a guide to calm down or a notification encouraging deep breathing.

[2140] Specific operation examples

[2141] Initial Setup

[2142] The user wears the smart glasses and pairs them with their smartphone.

[2143] example:

[2144] "Smartglasses setup"

[2145] Information Acquisition and Distribution

[2146] When a user enters a shopping mall, the smart glasses detect the user's location and retrieve relevant store information from the server and display it.

[2147] example:

[2148] "Information distribution at shopping malls"

[2149] Voice control

[2150] The user issues the voice command "Tell me the latest offers."

[2151] example:

[2152] "Using voice commands"

[2153] Posture correction feedback

[2154] If the user's posture deteriorates, the smart glasses will provide feedback.

[2155] example:

[2156] Posture correction feedback

[2157] Emotion Recognition and Feedback

[2158] If the emotion engine determines that the user is under stress, the server will provide appropriate measures to deal with the situation.

[2159] example:

[2160] "Emotion Recognition and Feedback"

[2161] In this way, the present invention, which combines an emotion engine, provides a convenient and stress-free information acquisition environment for the user, and also enables appropriate feedback according to the user's emotional state.

[2162] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2163] Step 1:

[2164] Initial Setup

[2165] The user puts on the smart glasses and launches the smartphone app. The smartphone app detects the smart glasses and pairs them via Bluetooth. The input is the user's pairing operation, and the output is a notification that pairing is complete. Specifically, the user allows the Bluetooth connection on the smartphone screen, and once pairing is complete, the smart glasses display "Ready."

[2166] Step 2:

[2167] Basic settings

[2168] The user configures basic settings such as Wi-Fi settings, consent to location sharing, and notification settings on the smartphone app. The smartphone then sends the settings to the device (smart glasses). The input is the basic setting operation, and the output is a notification that the settings are complete. Specifically, the user enters the settings on the smartphone app screen, and the message "Settings complete" is displayed.

[2169] Step 3:

[2170] Obtaining location information

[2171] When a user moves into a specific area, the smart glasses use the built-in GPS sensor to obtain their current location. The device then transmits this location information to the server in real time. The input is the current location information, and the output is a notification that transmission to the server has been completed. Specifically, the smart glasses automatically capture the location information and display the message "Sending location information."

[2172] Step 4:

[2173] Information analysis and distribution

[2174] The server analyzes the location information it receives and generates appropriate information (e.g., information about nearby stores or special offers). The analyzed information is then sent back to the smart glasses and displayed on the user's screen. The input is location information, and the output is the analyzed information. Specifically, the server analyzes the location information, generates matching data, and displays the "analyzed information" on the smart glasses.

[2175] Step 5:

[2176] Speak voice commands

[2177] The user issues a voice command to the smart glasses (e.g., "Tell me the latest offers"). The smart glasses' built-in microphone captures the voice. The input is the user's voice command, and the output is the captured voice data. Specifically, the user says "Tell me the latest offers," and the smart glasses capture the voice and send it to the server.

[2178] Step 6:

[2179] Voice analysis and information provision

[2180] The device analyzes the command using a voice recognition module. The analysis results are sent to the server, which then generates appropriate information based on the command and sends it to the smart glasses. The analysis results are then displayed to the user on the screen. The input is the captured voice data, and the output is the analyzed information. Specifically, the server analyzes the voice data into the "latest offers" and displays them on the smart glasses.

[2181] Step 7:

[2182] Posture monitoring

[2183] Smart glasses are equipped with gyro sensors and accelerometers to constantly monitor the user's posture. The device analyzes these sensor data and determines whether the user's posture has deteriorated. The input is sensor data, and the output is posture feedback. Specifically, if the smart glasses determine that the user's posture is poor, they will display a message saying, "Please correct your posture."

[2184] Step 8:

[2185] Providing postural feedback

[2186] If it determines that posture has deteriorated, the device will notify the user to "correct their posture." The notification is displayed as a visual message on the display and, in some cases, an audio alert. The input is the result of analyzing the sensor data, and the output is a visual and audio notification. Specifically, the smart glasses will notify the user to "correct their posture."

[2187] Step 9:

[2188] Capturing emotions

[2189] The smart glasses' built-in camera captures the user's facial expressions. The facial expression data is analyzed by the device's emotion engine. The input is facial expression data, and the output is the analysis results. Specifically, the smart glasses capture the user's facial expressions with the camera, and the message "Analyzing emotional state" is displayed.

[2190] Step 10:

[2191] Emotion analysis and response

[2192] The emotion engine analyzes the facial expression data and determines the user's emotional state. The analysis results are sent to the server, which then generates appropriate information based on the user's emotional state and sends it to the smart glasses. The input is the analysis results of the facial expression data, and the output is appropriate feedback information. Specifically, the smart glasses notify the user, "Stress has been detected. Relaxing music will be played," and then play music.

[2193] (Application example 2)

[2194] 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."

[2195] Conventional information distribution systems using smart glasses were limited to providing information based on the user's location information or voice commands. As a result, they were unable to take into account the user's emotional state and were insufficiently effective in reducing mental stress. Furthermore, in the field of security services, there is a demand for systems that can monitor the surrounding situation in real time and respond quickly, but this demand has not been fully met by conventional technology.

[2196] 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.

[2197] In this invention, the server includes means for providing information based on the user's location information, means for updating information based on the user's voice commands, and means for capturing the user's facial expressions using a built-in camera and analyzing them with an emotion engine to adjust notifications and information based on the user's emotional state. This enables appropriate feedback according to the user's emotional state, reduces mental stress, and enables quick and appropriate responses in the field of security services.

[2198] "Smart glasses" are a type of wearable device, a pair of glasses equipped with a display, camera, and sensors.

[2199] "Location information" refers to the user's current geographical location, and is data primarily obtained using GPS.

[2200] A "voice recognition module" is a piece of software or hardware that analyzes a user's voice commands, converts them into text data, and enables system operation.

[2201] A "posture sensor" is a sensor fusion device that includes a gyro sensor and an accelerometer, and is used to detect the tilt and movement of the user's body and monitor their posture.

[2202] The "built-in camera" is a camera built into smart glasses, a device that has the function of capturing the user's facial expressions and the surrounding environment.

[2203] The "emotion engine" is an analytics engine that analyzes the user's facial expressions and voice data to estimate their emotional state in real time.

[2204] "Notifications" refer to alerts or information directed to the user, which are communicated through the smart glasses' display or audio output.

[2205] "Feedback" refers to the response that the system gives to the user, and is information provided through audio or visual displays.

[2206] This invention realizes a wearable smart glasses-type system for security services that obtains a user's location information, voice commands, posture, and emotional state in real time and provides feedback based on this information. To implement this system, the following elements must be included:

[2207] 1. Hardware configuration:

[2208] Smart glasses: Includes a display, built-in camera, gyro sensor, accelerometer, and built-in microphone.

[2209] Server: Has the function of receiving the user's location information, analyzing the relevant information, and sending it to the smart glasses.

[2210] Smartphone: Used to pair with smart glasses for initial setup and communication.

[2211] 2. Software configuration:

[2212] Speech Recognition Module: Parses the user's voice commands and retrieves or updates the appropriate information.

[2213] Emotion engine: Analyzes the user's facial expressions captured by the built-in camera and estimates their emotional state.

[2214] Analysis engine: Analyzes relevant information based on location and emotion data on the server side.

[2215] 3. Data processing and calculation:

[2216] Location information acquisition: The smart glasses acquire the user's location information using the GPS sensor and send this data to the server.

[2217] Voice command analysis: The user speaks a voice command into the built-in microphone, which is then converted into text data by the voice recognition module. The server then analyzes the text data and sends the appropriate information to the smart glasses.

[2218] Posture monitoring: Uses gyro sensors and accelerometers to capture user posture data and provide feedback if an abnormality is detected.

[2219] Emotion analysis: The built-in camera captures the user's facial expressions, which are then analyzed by the emotion engine to estimate their emotional state. The server then uses this emotional data to tailor appropriate feedback and information.

[2220] 4. Example:

[2221] Initial Setup: A user puts on the smart glasses and pairs them with their smartphone. For example, "Sato" sets up the device and it's ready to go.

[2222] Information Acquisition and Distribution: When a user enters a shopping mall, the smart glasses detect their location and retrieve relevant store information from the server and display it. For example, they can display information such as "Welcome to the shopping mall. Today's special offer: 20% off all items."

[2223] Voice control: When a user issues a voice command such as "Tell me about dangerous areas," relevant safety information will be displayed on the smart glasses.

[2224] Posture correction feedback: Smart glasses monitor the user's posture and notify them to "correct their posture" if their posture deteriorates.

[2225] Emotion recognition and feedback: The built-in camera captures the user's facial expressions, and if the emotional state is determined to be "high stress," it provides feedback such as "take a break."

[2226] Example prompt sentence:

[2227] "Simulate how a user responds when approaching a dangerous area in a shopping mall, their posture worsens, and stress levels rise."

[2228] This configuration and operating procedure provides appropriate feedback according to the user's emotional state and surrounding circumstances, making it possible to improve security and reduce the user's mental stress.

[2229] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2230] Step 1: Initial Setup

[2231] The user wears the smart glasses and pairs them with their smartphone.

[2232] Input: Smartglasses and smartphone pairing request

[2233] Data processing / calculation: The smartphone app performs pairing using Bluetooth or Wi-Fi and sends initial settings (location information, notification settings, etc.) to the server.

[2234] Output: Device pairing complete and ready notification

[2235] Step 2: Obtaining and distributing location information

[2236] The smart glasses use GPS to acquire the user's location information and send it to the server. The server analyzes the relevant information based on the location information and sends it to the smart glasses.

[2237] Input: User's current location (GPS data)

[2238] Data processing / calculation: The server analyzes the location information and extracts relevant real-time information (e.g., dangerous areas, special offers, etc.).

[2239] Output: Display relevant information (e.g. "Welcome to the mall. Today's special: 20% off all items")

[2240] Step 3: Parsing voice commands

[2241] Users speak voice commands into the built-in microphone, and the smart glasses' voice recognition module converts the voice into text data, which is then sent to the server to retrieve the appropriate information.

[2242] Input: User's voice command (e.g., "Tell me about dangerous areas")

[2243] Data processing / calculation: The speech recognition module converts the speech into text data, and the server analyzes the text data to obtain relevant information.

[2244] Output: Display appropriate feedback (e.g. "Approaching a dangerous area")

[2245] Step 4: Posture monitoring

[2246] The smart glasses use gyro sensors and accelerometers to collect the user's posture data and notify the user if an abnormality is detected.

[2247] Input: User posture data

[2248] Data processing / calculation: Analyzes data obtained from the gyro sensor and accelerometer to determine whether the user's posture is abnormal.

[2249] Output: Notification when an abnormality is detected (e.g. "Please correct your posture")

[2250] Step 5: Analyze emotional state

[2251] The built-in camera captures the user's facial expressions, and the emotion engine analyzes the data to estimate their emotional state. The server then tailors the feedback and information based on this data.

[2252] Input: Facial expression data (camera capture)

[2253] Data processing / calculation: The emotion engine analyzes facial expression data and estimates the user's emotional state (e.g., stress level).

[2254] Output: Feedback based on emotional state (e.g., "Relax")

[2255] Step 6: Real-time feedback and adjustments

[2256] Based on the analytical data, the server generates appropriate feedback related to emotional state and location information and sends it to the smart glasses.

[2257] Input: Analysis results (location information, voice commands, posture data, emotional state)

[2258] Data processing / calculation: Based on comprehensive analysis on the server, optimal feedback and information is generated and sent to the smart glasses.

[2259] Output: Tailored information and notifications displayed in real time (e.g. "Relaxing music is playing")

[2260] Through these steps, users can receive seamless, real-time information and feedback.

[2261] 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 voice indicating a user input regarding 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.

[2262] 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 performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with 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.

[2263] 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 robot 414.

[2264] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2265] FIG. 9 is a diagram illustrating 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. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2266] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically 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.

[2267] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2268] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2269] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2270] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of 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, "relieved," "calm," and "reassuring," have similar emotion values.

[2271] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on 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 running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2272] In the above embodiment, an example was 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 data may be generated in the external device in accordance with input data.

[2273] 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 USB (Universal Serial Bus) 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.

[2274] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[2275] 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.

[2276] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2277] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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 processing may be a single processor.

[2278] As an example of a system configured with a single 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 system that uses a processor that realizes the functions of an entire ...

Claims

1. A means for acquiring location information of a user using smart glasses and providing information based on the location information; means for obtaining a user's voice command using a voice recognition module and updating information based on the voice command; a means for monitoring the user's posture using a posture sensor and notifying the user of any abnormal posture; A system including:

2. 10. The system of claim 1, wherein the smart glasses provide information to the user using a display and provide feedback to the user using an audio output.

3. The system of claim 1 , wherein the server receives the user's location information, analyzes related information based on the location information, and transmits the analyzed related information to the smart glasses.

Images