system

Abstract

An object of the system according to the embodiment is to provide full support to a visually impaired person and realize a rich life.SOLUTION: In accordance with an embodiment, a system comprises a camera, a generation AI, an ear conduction earpiece, and a smartphone interface. The camera captures images of the surrounding environment and objects. The generating AI analyzes the video captured by the camera. The ear conduction earphones audibly guide the user through the information parsed by the generation AI. The smartphone-linked section is linked with the smartphone to activate a payment application, read SNS articles and news, and execute a game.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] Conventional technology did not provide sufficient support for the visually impaired, and there were issues such as mixed reactions to guide dogs and misbehavior in public facilities.

[0005] The system according to the embodiment aims to provide complete support to visually impaired people and enable them to live a richer life. [Means for solving the problem]

[0006] The system according to the embodiment comprises a camera, a generation AI, ear conduction earphones, and a smartphone linkage unit. The camera captures images of the surrounding environment and objects. The generation AI analyzes the video data acquired by the camera. The ear conduction earphones provide the user with audio information analyzed by the generation AI. The smartphone linkage unit links with the smartphone to launch payment apps, read out SNS articles and news, and play games. [Effects of the Invention]

[0007] The system according to the embodiment provides complete support to the visually impaired, enabling them to live a richer life. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The AI ​​robot glasses according to an embodiment of the present invention are a system for supporting the visually impaired using a generative AI system. This system is equipped with a camera, ear conduction earphones, and is linked to a smartphone. This allows the AI ​​robot glasses to provide support for the visually impaired to lead independent lives.

[0029] The AI ​​robot glasses according to the embodiment include a camera, a generation AI, ear conduction earphones, and a smartphone linkage unit. The camera captures images of the surrounding environment and objects. For example, the camera captures images of products on supermarket shelves and sends the image data to the generation AI. The generation AI analyzes the image data captured by the camera. For example, the generation AI analyzes product names, prices, expiration dates, and other information and communicates this information to the user via audio. The generation AI performs the analysis using a text generation AI (e.g., LLM) or a multimodal generation AI. The ear conduction earphones provide audio guidance to the user based on the information analyzed by the generation AI. For example, the ear conduction earphones provide guidance such as, "Pay attention to the right side." The smartphone linkage unit links with the smartphone to launch payment apps, read social media articles and news, and play games. For example, the smartphone linkage unit links with the smartphone via Bluetooth and launches a payment app. This allows the AI ​​robot glasses according to the embodiment to support visually impaired people in living independently. For example, users can enjoy shopping and safely pass through crowded intersections. In addition, by linking it to a smartphone, it will be possible to launch payment apps, read out social media articles and news, and play games.

[0030] The camera takes pictures of products on supermarket shelves, and the generation AI analyzes the video data captured by the camera and can verbally communicate the product's name, price, and expiration date to the user. For example, the camera takes pictures of products on supermarket shelves and sends the video data to the generation AI. The generation AI analyzes the video data captured by the camera and verbally communicates the product's name, price, and expiration date to the user. For example, the generation AI analyzes the product's name and tells the user, "This product is milk." The generation AI also analyzes the product's price and tells the user, "The price of this product is 200 yen." The generation AI also analyzes the product's expiration date and tells the user, "The expiration date of this product is next week." This allows the user to enjoy shopping.

[0031] The generation AI can analyze video data acquired by a camera and provide a voice guidance to the user saying, "Watch your right side" when passing through a congested intersection. For example, the generation AI can analyze video data acquired by a camera and provide a voice guidance to the user saying, "Watch your right side" when passing through a congested intersection. For example, the generation AI analyzes video data of an intersection and detects that a car is approaching on the right side. Based on this information, the generation AI provides a voice guidance to the user saying, "Watch your right side." The generation AI can also analyze video data of an intersection and detect that the pedestrian light is red. Based on this information, the generation AI provides a voice guidance to the user saying, "The light is red. Please wait." The generation AI can also analyze video data of an intersection and detect that the pedestrian light has changed to green. Based on this information, the generation AI provides a voice guidance to the user saying, "The light has turned green. Please proceed." This allows the user to travel safely.

[0032] The smartphone linking unit can launch a payment app, read out SNS articles and news, and even run a game. The smartphone linking unit, for example, launches a payment app. For example, when a user makes a payment at a register, the smartphone linking unit launches the payment app and notifies the user by voice, "The payment app has launched." The smartphone linking unit also reads out SNS articles and news. For example, when a user wants to read an SNS article, the smartphone linking unit reads out the SNS article and notifies the user by voice, "You have a new message." The smartphone linking unit also runs a game. For example, when a user wants to play a game, the smartphone linking unit launches the game and notifies the user by voice, "The game has launched." This allows the user to use the functions of the smartphone.

[0033] The generation AI can analyze video data acquired by a camera and issue an audio warning to the user if there is an obstacle on the sidewalk or if a car is approaching. For example, the generation AI analyzes video data acquired by a camera and issues an audio warning to the user if there is an obstacle on the sidewalk or if a car is approaching. For example, the generation AI analyzes video data of the sidewalk and detects the presence of an obstacle. Based on this information, the generation AI issues an audio warning to the user saying, "There is an obstacle ahead. Please be careful." The generation AI also analyzes video data of a car and detects that a car is approaching. Based on this information, the generation AI issues an audio warning to the user saying, "A car is approaching. Please be careful." The generation AI also analyzes video data of the sidewalk and detects that the sidewalk is narrowing. Based on this information, the generation AI issues an audio warning to the user saying, "The sidewalk is narrowing. Please be careful." This allows the user to travel safely.

[0034] The generation AI can analyze video data captured by a camera, learn the user's behavioral history, and predict the user's next behavior. For example, the generation AI can analyze video data captured by a camera, learn the user's behavioral history, and predict the user's next behavior. For example, the generation AI records the routes the user takes and the places they visit each day and predicts the user's next behavior. Based on this information, the generation AI can provide audio guidance to the user, such as, "You should take this route next time." The generation AI can also predict the user's next shopping list based on the user's behavioral history. Based on this information, the generation AI can provide audio guidance to the user, such as, "This is your next shopping list." The generation AI can also predict the user's next destination based on the user's behavioral history. Based on this information, the generation AI can provide audio guidance to the user, such as, "This is your next destination." This allows the user to predict their next behavior and receive optimal guidance.

[0035] The generation AI can analyze video data captured by a camera and make personalized product suggestions that reflect the user's preferences and past selection history. For example, the generation AI can analyze video data captured by a camera and make personalized product suggestions that reflect the user's preferences and past selection history. For example, the generation AI can record the products a user frequently purchases and suggest them the next time they shop. Based on this information, the generation AI can make a voice suggestion to the user, saying, "This product suits your taste." The generation AI can also suggest new products based on the user's past selection history. Based on this information, the generation AI can make a voice suggestion to the user, saying, "Try this new product, too." The generation AI can also suggest products from a specific brand based on the user's preferences. Based on this information, the generation AI can make a voice suggestion to the user, saying, "Products from this brand are a good fit for you." This allows the user to receive personalized product suggestions.

[0036] The generating AI can use video data acquired by a camera to analyze the user's health condition (e.g., walking speed and posture) and provide health management advice. The generating AI can use video data acquired by a camera to analyze the user's health condition (e.g., walking speed and posture) and provide health management advice. For example, the generating AI can analyze the user's walking speed data and indicate the possibility of lack of exercise. Based on this information, the generating AI can provide a voice message to the user saying, "You are not getting enough exercise. We will suggest appropriate exercises." The generating AI can also analyze the user's posture data and indicate that posture improvement is necessary. Based on this information, the generating AI can provide a voice message to the user saying, "Your posture is bad. We will suggest improvements to your posture." The generating AI can also comprehensively analyze the user's health condition data and provide health management advice. Based on this information, the generating AI can provide a voice message to the user saying, "We will provide you with health management advice." This allows the user to receive health management advice.

[0037] When providing voice guidance, the generation AI can provide customized guidance that reflects the user's past behavioral history and preferences. For example, when providing voice guidance, the generation AI provides customized guidance that reflects the user's past behavioral history and preferences. For example, the generation AI provides customized voice guidance based on the user's past behavioral history. Based on this information, the generation AI may voice-guidance the user, saying, "This route suits your preferences." The generation AI may also guide the user to specific places or events based on the user's preferences. Based on this information, the generation AI may voice-guidance the user, saying, "This place or event suits you." The generation AI may also comprehensively analyze the user's past behavioral history and preferences to provide customized guidance. Based on this information, the generation AI may voice-guidance the user, saying, "This guidance is perfect for you." This allows the user to receive customized guidance.

[0038] The generation AI can dynamically change the content of the voice guidance according to the user's current situation and environment, providing optimal information. For example, the generation AI can dynamically change the content of the voice guidance according to the user's current situation and environment, providing optimal information. For example, the generation AI analyzes the user's current situation and environment and dynamically changes the content of the voice guidance. Based on this information, the generation AI provides the user with a voice message saying, "We will provide you with guidance according to your current situation." The generation AI also provides optimal information based on the user's current environment. Based on this information, the generation AI also provides the user with a voice message saying, "This information is optimal for your current environment." The generation AI also comprehensively analyzes the user's current situation and environment and provides optimal information. Based on this information, the generation AI also provides the user with a voice message saying, "This information is optimal for you." This allows the user to be provided with optimal information.

[0039] The generation AI can automatically translate the content of the voice guidance into different languages, achieving multilingual support. For example, the generation AI can automatically translate the content of the voice guidance and provide it in different languages. For example, the generation AI can translate the content of the voice guidance into English and provide the user with a voice saying, "This guidance is provided in English." The generation AI can also translate the content of the voice guidance into French and provide the user with a voice saying, "This guidance is provided in French." The generation AI can also translate the content of the voice guidance into Chinese and provide the user with a voice saying, "This guidance is provided in Chinese." This allows the user to receive guidance in multiple languages.

[0040] The generation AI can adjust the content of the voice guidance according to the user's hearing characteristics (e.g., hearing loss) to provide a voice that is easier to hear. The generation AI can adjust the content of the voice guidance according to the user's hearing characteristics to provide a voice that is easier to hear. For example, the generation AI analyzes the user's hearing characteristics and increases the volume of the guidance for users with hearing loss. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you at a higher volume." The generation AI also analyzes the user's hearing characteristics and provides guidance in a lower range for users who have difficulty hearing high-pitched sounds. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you in a lower range." The generation AI also comprehensively analyzes the user's hearing characteristics and provides guidance in the optimal voice. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you in the optimal voice." This allows the user to receive voice guidance that is easier to hear.

[0041] By linking with a smartphone, the generation AI can analyze the user's schedule and plans and send reminders and notifications at the optimal time. For example, by linking with a smartphone, the generation AI can analyze the user's schedule and plans and send reminders and notifications at the optimal time. For example, the generation AI can link with a smartphone's calendar app and analyze the user's schedule. Based on this information, the generation AI can prompt the user by voice, "We will send you a reminder before an important event." The generation AI can also send notifications at the optimal time based on the user's schedule. Based on this information, the generation AI can also prompt the user by voice, "We will send you a notification at this time." The generation AI can also comprehensively analyze the user's schedule and plans and send optimal reminders and notifications. Based on this information, the generation AI can also prompt the user by voice, "We will send you the optimal reminders and notifications." This allows the user to receive reminders and notifications at the optimal time.

[0042] The generation AI can optimize guidance by analyzing the user's location information and movements using the smartphone's sensor information (e.g., GPS and accelerometer). The generation AI can optimize guidance by analyzing the user's location information and movements using the smartphone's sensor information. For example, the generation AI can use the smartphone's GPS information to identify the user's current location and provide guidance on the optimal route. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will guide you to the shortest route from your current location to your destination." The generation AI can also use the smartphone's accelerometer information to analyze the user's movements and optimize guidance. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will provide you with optimal guidance based on your movements." The generation AI can also comprehensively analyze the smartphone's sensor information and provide optimal guidance. Based on this information, the generation AI can provide you with voice guidance, saying, "We will provide you with optimal guidance." This allows the user to receive optimal guidance.

[0043] By linking with a smartphone, the generating AI can remotely control the user's home appliances (e.g., smart lights and air conditioners) to provide a comfortable environment. By linking with a smartphone, the generating AI can remotely control the user's home appliances to provide a comfortable environment. For example, the generating AI links with a smartphone to remotely control the user's home appliances. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your home appliances." The generating AI also links with a smartphone to remotely control the user's smart lights. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your smart lights." The generating AI also links with a smartphone to remotely control the user's air conditioner. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your air conditioner." This allows the user to enjoy a comfortable environment.

[0044] The generating AI can analyze a user's health data (e.g., heart rate and sleep patterns) by linking with a smartphone and provide health management advice. The generating AI can analyze a user's health data by linking with a smartphone and provide health management advice. For example, the generating AI can link with a smartphone to analyze the user's heart rate. Based on this information, the generating AI can provide a voice message to the user saying, "Your heart rate is high. We'll give you some advice on how to relax." The generating AI can also link with a smartphone to analyze the user's sleep patterns. Based on this information, the generating AI can provide a voice message to the user saying, "Your sleep patterns are disrupted. We'll give you some advice on how to improve them." The generating AI can also link with a smartphone to comprehensively analyze the user's health data and provide health management advice. Based on this information, the generating AI can provide a voice message to the user saying, "We'll give you some health management advice." This allows the user to receive health management advice.

[0045] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0046] The AI ​​robot glasses are also equipped with a temperature sensor that can measure the ambient temperature and suggest appropriate clothing to the user. For example, if the outside temperature is low, the temperature sensor will provide a voice prompt saying, "It's cold today, so please put on a coat." If the outside temperature is high, the temperature sensor will provide a voice prompt saying, "It's hot today, so please go out dressed lightly." Furthermore, the temperature sensor can detect sudden temperature changes and provide a voice prompt saying, "It's suddenly gotten cold. Please move to a warmer place." This allows the user to choose appropriate clothing and stay comfortable.

[0047] The AI ​​robot glasses are also equipped with a humidity sensor that measures the ambient humidity and can suggest appropriate actions to the user. For example, if the humidity is high, the humidity sensor will provide a voice prompt saying, "Today is humid, so don't forget to stay hydrated." If the humidity is low, the humidity sensor will provide a voice prompt saying, "Today is dry, so please use a humidifier." Furthermore, the humidity sensor can detect sudden changes in humidity and provide a voice prompt saying, "The humidity has suddenly increased. Please ventilate the room." This allows the user to choose appropriate actions and stay comfortable.

[0048] The AI ​​robot glasses are also equipped with a light sensor that measures the brightness of the surroundings and can suggest appropriate actions to the user. For example, if the light sensor detects darkness, it will provide a voice prompt saying, "It's dark, so please turn on the lights." If the surroundings are bright, it will provide a voice prompt saying, "It's bright, so please put on your sunglasses." Furthermore, the light sensor can detect sudden changes in brightness and provide a voice prompt saying, "It's suddenly gotten brighter. Please protect your eyes." This allows the user to choose appropriate actions and stay comfortable.

[0049] The AI ​​robot glasses also have a GPS function, which can guide the user to the optimal route based on the user's location information. For example, the GPS function can provide voice guidance such as "Please follow this road" when the user is heading to their destination. If the user gets lost, the GPS function can also provide voice guidance such as "We will guide you to the shortest route from your current location." Furthermore, the GPS function can also provide voice guidance such as "You have arrived at your destination" when the user arrives at a specific location. This allows the user to arrive at their destination without getting lost.

[0050] The AI ​​robot glasses also have a voice recognition function, allowing them to operate in response to user voice commands. For example, if the user says, "Tell me the weather forecast," the voice recognition function will respond with, "Today's weather is sunny." If the user says, "Find a nearby cafe," the voice recognition function will respond with, "Here's a nearby cafe." Furthermore, if the user says, "Play music," the voice recognition function can respond with, "Playing music." This allows users to easily operate the glasses using voice commands.

[0051] The processing flow of the first embodiment will be briefly explained below.

[0052] Step 1: The camera captures the surrounding environment and objects. For example, the camera captures images of products on supermarket shelves and sends the video data to the generation AI. Step 2: The generation AI analyzes the video data captured by the camera. For example, the generation AI analyzes the product name, price, expiration date, etc. and conveys this information to the user via audio. The generation AI performs the analysis using text generation AI (e.g., LLM) or multimodal generation AI. Step 3: The ear conduction earphones provide the user with voice guidance based on the information analyzed by the generative AI. For example, the ear conduction earphones may provide guidance such as, "Pay attention to the right side." Step 4: The smartphone linking unit links with the smartphone to launch a payment app, read out SNS articles and news, and play games. For example, the smartphone linking unit links with the smartphone using Bluetooth and launches a payment app.

[0053] (Example 2) The AI ​​robot glasses according to an embodiment of the present invention are a system for supporting the visually impaired using a generative AI system. This system is equipped with a camera, ear conduction earphones, and is linked to a smartphone. This allows the AI ​​robot glasses to provide support for the visually impaired to lead independent lives.

[0054] The AI ​​robot glasses according to the embodiment include a camera, a generation AI, ear conduction earphones, and a smartphone linkage unit. The camera captures images of the surrounding environment and objects. For example, the camera captures images of products on supermarket shelves and sends the image data to the generation AI. The generation AI analyzes the image data captured by the camera. For example, the generation AI analyzes product names, prices, expiration dates, and other information and communicates this information to the user via audio. The generation AI performs the analysis using a text generation AI (e.g., LLM) or a multimodal generation AI. The ear conduction earphones provide audio guidance to the user based on the information analyzed by the generation AI. For example, the ear conduction earphones provide guidance such as, "Pay attention to the right side." The smartphone linkage unit links with the smartphone to launch payment apps, read social media articles and news, and play games. For example, the smartphone linkage unit links with the smartphone via Bluetooth and launches a payment app. This allows the AI ​​robot glasses according to the embodiment to support visually impaired people in living independently. For example, users can enjoy shopping and safely pass through crowded intersections. In addition, by linking it to a smartphone, it will be possible to launch payment apps, read out social media articles and news, and play games.

[0055] The camera takes pictures of products on supermarket shelves, and the generation AI analyzes the video data captured by the camera and can verbally communicate the product's name, price, and expiration date to the user. For example, the camera takes pictures of products on supermarket shelves and sends the video data to the generation AI. The generation AI analyzes the video data captured by the camera and verbally communicates the product's name, price, and expiration date to the user. For example, the generation AI analyzes the product's name and tells the user, "This product is milk." The generation AI also analyzes the product's price and tells the user, "The price of this product is 200 yen." The generation AI also analyzes the product's expiration date and tells the user, "The expiration date of this product is next week." This allows the user to enjoy shopping.

[0056] The generation AI can analyze video data acquired by a camera and provide a voice guidance to the user saying, "Watch your right side" when passing through a congested intersection. For example, the generation AI can analyze video data acquired by a camera and provide a voice guidance to the user saying, "Watch your right side" when passing through a congested intersection. For example, the generation AI analyzes video data of an intersection and detects that a car is approaching on the right side. Based on this information, the generation AI provides a voice guidance to the user saying, "Watch your right side." The generation AI can also analyze video data of an intersection and detect that the pedestrian light is red. Based on this information, the generation AI provides a voice guidance to the user saying, "The light is red. Please wait." The generation AI can also analyze video data of an intersection and detect that the pedestrian light has changed to green. Based on this information, the generation AI provides a voice guidance to the user saying, "The light has turned green. Please proceed." This allows the user to travel safely.

[0057] The smartphone linking unit can launch a payment app, read out SNS articles and news, and even run a game. The smartphone linking unit, for example, launches a payment app. For example, when a user makes a payment at a register, the smartphone linking unit launches the payment app and notifies the user by voice, "The payment app has launched." The smartphone linking unit also reads out SNS articles and news. For example, when a user wants to read an SNS article, the smartphone linking unit reads out the SNS article and notifies the user by voice, "You have a new message." The smartphone linking unit also runs a game. For example, when a user wants to play a game, the smartphone linking unit launches the game and notifies the user by voice, "The game has launched." This allows the user to use the functions of the smartphone.

[0058] The generation AI can analyze video data acquired by a camera and issue an audio warning to the user if there is an obstacle on the sidewalk or if a car is approaching. For example, the generation AI analyzes video data acquired by a camera and issues an audio warning to the user if there is an obstacle on the sidewalk or if a car is approaching. For example, the generation AI analyzes video data of the sidewalk and detects the presence of an obstacle. Based on this information, the generation AI issues an audio warning to the user saying, "There is an obstacle ahead. Please be careful." The generation AI also analyzes video data of a car and detects that a car is approaching. Based on this information, the generation AI issues an audio warning to the user saying, "A car is approaching. Please be careful." The generation AI also analyzes video data of the sidewalk and detects that the sidewalk is narrowing. Based on this information, the generation AI issues an audio warning to the user saying, "The sidewalk is narrowing. Please be careful." This allows the user to travel safely.

[0059] The generation AI can analyze video data captured by a camera, learn the user's behavioral history, and predict the user's next behavior. For example, the generation AI can analyze video data captured by a camera, learn the user's behavioral history, and predict the user's next behavior. For example, the generation AI records the routes the user takes and the places they visit each day and predicts the user's next behavior. Based on this information, the generation AI can provide audio guidance to the user, such as, "You should take this route next time." The generation AI can also predict the user's next shopping list based on the user's behavioral history. Based on this information, the generation AI can provide audio guidance to the user, such as, "This is your next shopping list." The generation AI can also predict the user's next destination based on the user's behavioral history. Based on this information, the generation AI can provide audio guidance to the user, such as, "This is your next destination." This allows the user to predict their next behavior and receive optimal guidance.

[0060] The generation AI can analyze video data captured by a camera and make personalized product suggestions that reflect the user's preferences and past selection history. For example, the generation AI can analyze video data captured by a camera and make personalized product suggestions that reflect the user's preferences and past selection history. For example, the generation AI can record the products a user frequently purchases and suggest them the next time they shop. Based on this information, the generation AI can make a voice suggestion to the user, saying, "This product suits your taste." The generation AI can also suggest new products based on the user's past selection history. Based on this information, the generation AI can make a voice suggestion to the user, saying, "Try this new product, too." The generation AI can also suggest products from a specific brand based on the user's preferences. Based on this information, the generation AI can make a voice suggestion to the user, saying, "Products from this brand are a good fit for you." This allows the user to receive personalized product suggestions.

[0061] The generation AI can analyze video data captured by a camera, infer a user's emotions from their facial expressions and movements, and suggest a relaxing route if the user is feeling stressed. For example, the generation AI can analyze video data captured by a camera, infer a user's emotions from their facial expressions and movements, and suggest a relaxing route if the user is feeling stressed. For example, the generation AI can analyze a user's facial expression data and detect that the user is feeling stressed. Based on this information, the generation AI can provide a voice prompt to the user saying, "We suggest a relaxing route for you." The generation AI can also analyze the user's movement data and detect that the user is feeling stressed. Based on this information, the generation AI can provide a voice prompt to the user saying, "We suggest a relaxing route for you." The generation AI can also comprehensively analyze the user's facial expressions and movement data and detect that the user is feeling stressed. Based on this information, the generation AI can provide a voice prompt to the user saying, "We suggest a relaxing route for you." This allows the user to reduce stress and relax.

[0062] The generating AI can use video data acquired by a camera to analyze the user's health condition (e.g., walking speed and posture) and provide health management advice. The generating AI can use video data acquired by a camera to analyze the user's health condition (e.g., walking speed and posture) and provide health management advice. For example, the generating AI can analyze the user's walking speed data and indicate the possibility of lack of exercise. Based on this information, the generating AI can provide a voice message to the user saying, "You are not getting enough exercise. We will suggest appropriate exercises." The generating AI can also analyze the user's posture data and indicate that posture improvement is necessary. Based on this information, the generating AI can provide a voice message to the user saying, "Your posture is bad. We will suggest improvements to your posture." The generating AI can also comprehensively analyze the user's health condition data and provide health management advice. Based on this information, the generating AI can provide a voice message to the user saying, "We will provide you with health management advice." This allows the user to receive health management advice.

[0063] The generation AI can analyze video data captured by a camera and suggest events and places that the user might be interested in in real time. For example, the generation AI can analyze video data captured by a camera and suggest events and places that the user might be interested in in real time. For example, the generation AI can analyze the user's facial expression data and suggest events that the user might be interested in. Based on this information, the generation AI can provide audio guidance to the user, such as, "Try participating in this event." The generation AI can also analyze the user's movement data and suggest places that the user might be interested in. Based on this information, the generation AI can provide audio guidance to the user, such as, "Try visiting this place." The generation AI can also comprehensively analyze the user's facial expression and movement data and suggest events and places that the user might be interested in. Based on this information, the generation AI can provide audio guidance to the user, such as, "Try this event or place." In this way, the user can be suggested events and places that the user might be interested in.

[0064] When providing voice guidance, the generation AI can provide customized guidance that reflects the user's past behavioral history and preferences. For example, when providing voice guidance, the generation AI provides customized guidance that reflects the user's past behavioral history and preferences. For example, the generation AI provides customized voice guidance based on the user's past behavioral history. Based on this information, the generation AI may voice-guidance the user, saying, "This route suits your preferences." The generation AI may also guide the user to specific places or events based on the user's preferences. Based on this information, the generation AI may voice-guidance the user, saying, "This place or event suits you." The generation AI may also comprehensively analyze the user's past behavioral history and preferences to provide customized guidance. Based on this information, the generation AI may voice-guidance the user, saying, "This guidance is perfect for you." This allows the user to receive customized guidance.

[0065] The generation AI can dynamically change the content of the voice guidance according to the user's current situation and environment, providing optimal information. For example, the generation AI can dynamically change the content of the voice guidance according to the user's current situation and environment, providing optimal information. For example, the generation AI analyzes the user's current situation and environment and dynamically changes the content of the voice guidance. Based on this information, the generation AI provides the user with a voice message saying, "We will provide you with guidance according to your current situation." The generation AI also provides optimal information based on the user's current environment. Based on this information, the generation AI also provides the user with a voice message saying, "This information is optimal for your current environment." The generation AI also comprehensively analyzes the user's current situation and environment and provides optimal information. Based on this information, the generation AI also provides the user with a voice message saying, "This information is optimal for you." This allows the user to be provided with optimal information.

[0066] The generation AI can use its emotion estimation function to provide voice guidance in a tone and tempo that corresponds to the user's emotional state, thereby reducing stress. For example, the generation AI can use its emotion estimation function to provide voice guidance in a tone and tempo that corresponds to the user's emotional state, thereby reducing stress. For example, the generation AI can analyze the user's emotional state and, if the user is relaxed, provide guidance in a calm tone. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will guide you in a relaxed tone." The generation AI can also analyze the user's emotional state and, if the user is feeling stressed, provide guidance in a calm tempo. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will guide you in a calm tempo." The generation AI can also comprehensively analyze the user's emotional state and provide guidance in the optimal tone and tempo. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will guide you in the optimal tone and tempo." This allows the user to receive guidance that reduces stress and helps them relax.

[0067] The generation AI can automatically translate the content of the voice guidance into different languages, achieving multilingual support. For example, the generation AI can automatically translate the content of the voice guidance and provide it in different languages. For example, the generation AI can translate the content of the voice guidance into English and provide the user with a voice saying, "This guidance is provided in English." The generation AI can also translate the content of the voice guidance into French and provide the user with a voice saying, "This guidance is provided in French." The generation AI can also translate the content of the voice guidance into Chinese and provide the user with a voice saying, "This guidance is provided in Chinese." This allows the user to receive guidance in multiple languages.

[0068] The generation AI can adjust the content of the voice guidance according to the user's hearing characteristics (e.g., hearing loss) to provide a voice that is easier to hear. The generation AI can adjust the content of the voice guidance according to the user's hearing characteristics to provide a voice that is easier to hear. For example, the generation AI analyzes the user's hearing characteristics and increases the volume of the guidance for users with hearing loss. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you at a higher volume." The generation AI also analyzes the user's hearing characteristics and provides guidance in a lower range for users who have difficulty hearing high-pitched sounds. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you in a lower range." The generation AI also comprehensively analyzes the user's hearing characteristics and provides guidance in the optimal voice. Based on this information, the generation AI voice-guidances the user by saying, "We will guide you in the optimal voice." This allows the user to receive voice guidance that is easier to hear.

[0069] The generation AI can use its emotion estimation function to suggest music or podcasts that will help the user relax, providing entertainment while on the go. For example, the generation AI can use its emotion estimation function to suggest music or podcasts that will help the user relax, providing entertainment while on the go. For example, the generation AI can analyze the user's emotional state and suggest relaxing music. Based on this information, the generation AI can prompt the user by voice, "We will play relaxing music." The generation AI can also analyze the user's emotional state and suggest relaxing podcasts. Based on this information, the generation AI can prompt the user by voice, "We will play a relaxing podcast." The generation AI can also comprehensively analyze the user's emotional state and provide optimal entertainment. Based on this information, the generation AI can prompt the user by voice, "We will provide you with the optimal entertainment." This allows the user to be provided with relaxing entertainment.

[0070] By linking with a smartphone, the generation AI can analyze the user's schedule and plans and send reminders and notifications at the optimal time. For example, by linking with a smartphone, the generation AI can analyze the user's schedule and plans and send reminders and notifications at the optimal time. For example, the generation AI can link with a smartphone's calendar app and analyze the user's schedule. Based on this information, the generation AI can prompt the user by voice, "We will send you a reminder before an important event." The generation AI can also send notifications at the optimal time based on the user's schedule. Based on this information, the generation AI can also prompt the user by voice, "We will send you a notification at this time." The generation AI can also comprehensively analyze the user's schedule and plans and send optimal reminders and notifications. Based on this information, the generation AI can also prompt the user by voice, "We will send you the optimal reminders and notifications." This allows the user to receive reminders and notifications at the optimal time.

[0071] The generation AI can optimize guidance by analyzing the user's location information and movements using the smartphone's sensor information (e.g., GPS and accelerometer). The generation AI can optimize guidance by analyzing the user's location information and movements using the smartphone's sensor information. For example, the generation AI can use the smartphone's GPS information to identify the user's current location and provide guidance on the optimal route. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will guide you to the shortest route from your current location to your destination." The generation AI can also use the smartphone's accelerometer information to analyze the user's movements and optimize guidance. Based on this information, the generation AI can provide voice guidance to the user, saying, "We will provide you with optimal guidance based on your movements." The generation AI can also comprehensively analyze the smartphone's sensor information and provide optimal guidance. Based on this information, the generation AI can provide you with voice guidance, saying, "We will provide you with optimal guidance." This allows the user to receive optimal guidance.

[0072] By linking with a smartphone, the generating AI can remotely control the user's home appliances (e.g., smart lights and air conditioners) to provide a comfortable environment. By linking with a smartphone, the generating AI can remotely control the user's home appliances to provide a comfortable environment. For example, the generating AI links with a smartphone to remotely control the user's home appliances. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your home appliances." The generating AI also links with a smartphone to remotely control the user's smart lights. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your smart lights." The generating AI also links with a smartphone to remotely control the user's air conditioner. Based on this information, the generating AI guides the user by voice, saying, "Remotely control your air conditioner." This allows the user to enjoy a comfortable environment.

[0073] The generating AI can analyze a user's health data (e.g., heart rate and sleep patterns) by linking with a smartphone and provide health management advice. The generating AI can analyze a user's health data by linking with a smartphone and provide health management advice. For example, the generating AI can link with a smartphone to analyze the user's heart rate. Based on this information, the generating AI can provide a voice message to the user saying, "Your heart rate is high. We'll give you some advice on how to relax." The generating AI can also link with a smartphone to analyze the user's sleep patterns. Based on this information, the generating AI can provide a voice message to the user saying, "Your sleep patterns are disrupted. We'll give you some advice on how to improve them." The generating AI can also link with a smartphone to comprehensively analyze the user's health data and provide health management advice. Based on this information, the generating AI can provide a voice message to the user saying, "We'll give you some health management advice." This allows the user to receive health management advice.

[0074] The generative AI can use its emotion estimation function to suggest apps and services that the user might be interested in, enriching daily life. The generative AI can, for example, use its emotion estimation function to suggest apps and services that the user might be interested in, enriching daily life. For example, the generative AI can analyze the user's emotional state and suggest apps that the user might be interested in. Based on this information, the generative AI can provide a voice prompt to the user saying, "This app is perfect for you." The generative AI can also analyze the user's emotional state and suggest services that the user might be interested in. Based on this information, the generative AI can provide a voice prompt to the user saying, "This service is perfect for you." The generative AI can also comprehensively analyze the user's emotional state and suggest optimal apps and services. Based on this information, the generative AI can provide a voice prompt to the user saying, "This app or service is perfect for you." This allows the user to receive suggestions for apps and services that will enrich their daily life.

[0075] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0076] The AI ​​robot glasses are also equipped with a temperature sensor that can measure the ambient temperature and suggest appropriate clothing to the user. For example, if the outside temperature is low, the temperature sensor will provide a voice prompt saying, "It's cold today, so please put on a coat." If the outside temperature is high, the temperature sensor will provide a voice prompt saying, "It's hot today, so please go out dressed lightly." Furthermore, the temperature sensor can detect sudden temperature changes and provide a voice prompt saying, "It's suddenly gotten cold. Please move to a warmer place." This allows the user to choose appropriate clothing and stay comfortable.

[0077] The AI ​​robot glasses are also equipped with a humidity sensor that measures the ambient humidity and can suggest appropriate actions to the user. For example, if the humidity is high, the humidity sensor will provide a voice prompt saying, "Today is humid, so don't forget to stay hydrated." If the humidity is low, the humidity sensor will provide a voice prompt saying, "Today is dry, so please use a humidifier." Furthermore, the humidity sensor can detect sudden changes in humidity and provide a voice prompt saying, "The humidity has suddenly increased. Please ventilate the room." This allows the user to choose appropriate actions and stay comfortable.

[0078] The AI ​​robot glasses are also equipped with a light sensor that measures the brightness of the surroundings and can suggest appropriate actions to the user. For example, if the light sensor detects darkness, it will provide a voice prompt saying, "It's dark, so please turn on the lights." If the surroundings are bright, it will provide a voice prompt saying, "It's bright, so please put on your sunglasses." Furthermore, the light sensor can detect sudden changes in brightness and provide a voice prompt saying, "It's suddenly gotten brighter. Please protect your eyes." This allows the user to choose appropriate actions and stay comfortable.

[0079] The AI ​​robot glasses also have a GPS function, which can guide the user to the optimal route based on the user's location information. For example, the GPS function can provide voice guidance such as "Please follow this road" when the user is heading to their destination. If the user gets lost, the GPS function can also provide voice guidance such as "We will guide you to the shortest route from your current location." Furthermore, the GPS function can also provide voice guidance such as "You have arrived at your destination" when the user arrives at a specific location. This allows the user to arrive at their destination without getting lost.

[0080] The AI ​​robot glasses also have a voice recognition function, allowing them to operate in response to user voice commands. For example, if the user says, "Tell me the weather forecast," the voice recognition function will respond with, "Today's weather is sunny." If the user says, "Find a nearby cafe," the voice recognition function will respond with, "Here's a nearby cafe." Furthermore, if the user says, "Play music," the voice recognition function can respond with, "Playing music." This allows users to easily operate the glasses using voice commands.

[0081] The AI ​​robot glasses can estimate the user's emotions and suggest relaxing music if the user is feeling stressed. For example, if the user is feeling stressed, the voice will guide them by saying, "We will play relaxing music." If the user is relaxed, the voice will guide them by saying, "Keep this relaxed state." Furthermore, if the user is excited, the voice can guide them by saying, "We will play music to calm you down." This allows the user to enjoy music that suits their emotions.

[0082] The AI ​​robot glasses can also estimate the user's emotions and suggest exercises that correspond to their emotions. For example, if the user is feeling stressed, the voice will guide them by saying, "Let's do some yoga to relax." If the user is relaxed, the voice will guide them by saying, "Let's do some stretches to maintain this relaxed state." Furthermore, if the user is excited, the voice can guide them by saying, "Let's take some deep breaths to calm down." This allows the user to perform exercises that correspond to their emotions.

[0083] The AI ​​robot glasses can also estimate the user's emotions and suggest meals according to their feelings. For example, if the user is feeling stressed, the voice will guide them by saying, "Let's drink some herbal tea to relax." If the user is relaxed, the voice will guide them by saying, "Let's have a light meal to help you stay relaxed." Furthermore, if the user is excited, the voice can guide them by saying, "Let's have some warm soup to calm you down." This allows the user to enjoy meals that suit their emotions.

[0084] The AI ​​robot glasses can also estimate the user's emotions and suggest breaks based on their feelings. For example, if the user is feeling stressed, the glasses will provide a voice prompt saying, "Take a break in a relaxing place." If the user is relaxed, the glasses will provide a voice prompt saying, "Take a short break to maintain this relaxed state." Furthermore, if the user is excited, the glasses can provide a voice prompt saying, "Take a break and take a deep breath to calm down." This allows the user to take a break based on their emotions.

[0085] The AI ​​robot glasses can also estimate the user's emotions and suggest reading material that matches their emotions. For example, if the user is feeling stressed, the glasses will provide a voice prompt saying, "Read a book that will help you relax." If the user is relaxed, the glasses will provide a voice prompt saying, "Read a book that will help you stay relaxed." If the user is excited, the glasses can also provide a voice prompt saying, "Read a poetry book that will calm you down." This allows the user to enjoy reading that matches their emotions.

[0086] The processing flow of the second embodiment will be briefly explained below.

[0087] Step 1: The camera captures the surrounding environment and objects. For example, the camera captures images of products on supermarket shelves and sends the video data to the generation AI. Step 2: The generation AI analyzes the video data captured by the camera. For example, the generation AI analyzes the product name, price, expiration date, etc. and conveys this information to the user via audio. The generation AI performs the analysis using text generation AI (e.g., LLM) or multimodal generation AI. Step 3: The ear conduction earphones provide the user with voice guidance based on the information analyzed by the generative AI. For example, the ear conduction earphones may provide guidance such as, "Pay attention to the right side." Step 4: The smartphone linking unit links with the smartphone to launch a payment app, read out SNS articles and news, and play games. For example, the smartphone linking unit links with the smartphone using Bluetooth and launches a payment app.

[0088] 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.

[0089] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0090] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0091] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0092] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0093] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0094] 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.

[0095] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0096] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0101] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0102] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0103] 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.

[0104] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0105] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0106] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0107] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0108] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0109] 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.

[0110] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0111] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0116] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0117] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0118] 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.

[0119] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0120] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0121] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0122] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0123] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0124] 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.

[0125] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0126] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0127] 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.

[0128] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the 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.

[0129] 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.

[0130] 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.

[0131] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0132] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0133] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0134] 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.

[0135] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0136] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0137] 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.

[0138] FIG. 9 illustrates 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 behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0139] 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.

[0140] 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).

[0141] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0142] 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."

[0143] 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.

[0144] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0149] The hardware resource that executes the specific process 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 process may be a single processor.

[0150] 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 system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0151] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0152] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0153] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0154] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0155] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. Glasses with a built-in camera, Generative AI and Ear conduction earphones, A smartphone linkage unit, The camera is Capture the surrounding environment and objects, The generated AI is Analyzing video data acquired by the camera; The ear conduction earphones include: The information analyzed by the generating AI is provided to the user via voice, The smartphone linkage unit It works in conjunction with a smartphone to launch payment apps, read out social media articles and news, and play games. A system characterized by:

2. The camera is Photographing products on supermarket shelves, The generated AI is The video data acquired by the camera is analyzed, and the product name, price, and expiration date of the product are communicated to the user by voice. The system of claim 1 .

3. The generated AI is The video data acquired by the camera is analyzed, and if there is an obstacle on the sidewalk or if the vehicle is approaching, an audio warning is issued to the user. The system of claim 1 .

4. The generated AI is When providing voice guidance, customized guidance is provided that reflects the user's behavioral history and preferences. The system of claim 1 .

5. The generated AI is By linking with the smartphone, the system analyzes the user's schedule and plans, and sends reminders and notifications at the optimal time. The system of claim 1 .

6. The generated AI is The video data acquired by the camera is analyzed, and emotions of the user are inferred from facial expressions and movements, and if the user is feeling stressed, a route to relax is suggested. The system of claim 1 .

7. The generated AI is Using emotion estimation functionality, voice guidance is provided in a tone and tempo that matches the user's emotional state, reducing stress. The system of claim 1 .

8. The generated AI is Using emotion estimation function, the app will suggest and notify users based on their emotional state, reducing stress. The system of claim 1 .

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