system

Abstract

An object of the system according to the embodiment is to simultaneously perform route guidance, recording of a field of view, and ultraviolet countermeasures while ensuring the safety of a child.SOLUTION: A system according to an embodiment includes a GPS unit, a AI guide unit, a camera unit, a recording unit, and a UV cut unit. The GPS unit acquires a current location. The AI route guidance unit performs route guidance based on the current location acquired by the GPS unit. The camera unit acquires an image. The recording unit records the video acquired by the camera unit. The UV cut part cuts ultraviolet rays.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 has had the problem of making it difficult to ensure the safety of children while simultaneously providing directions, recording visibility, and protecting against UV rays.

[0005] The system according to the embodiment aims to provide route guidance, record visibility, and protect against UV rays while ensuring the safety of children. [Means for solving the problem]

[0006] The system according to the embodiment includes a GPS unit, an AI route guidance unit, a camera unit, a recording unit, and a UV cut unit. The GPS unit acquires the current location. The AI ​​route guidance unit provides route guidance based on the current location acquired by the GPS unit. The camera unit acquires video. The recording unit records the video acquired by the camera unit. The UV cut unit blocks ultraviolet rays. [Effects of the Invention]

[0007] The system according to the embodiment can provide route guidance, record visibility, and protect against UV rays while ensuring the safety of children. [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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[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 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[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 multifunctional kids' glasses according to an embodiment of the present invention are a system that includes a GPS and AI navigation function, a camera and video recording function, and UV protection, ensuring the safety of children and allowing parents to check their children's condition in real time while protecting their eyes from UV rays.

[0029] The multifunctional kids' glasses according to the embodiment include a GPS unit, an AI navigation unit, a camera unit, a recording unit, and a UV protection unit. The GPS unit acquires a current location. For example, the GPS unit receives satellite signals to calculate the current location. The GPS unit can also correct the current location using Wi-Fi or Bluetooth. The GPS unit can periodically update the current location to improve accuracy. The AI ​​navigation unit provides navigation based on the current location acquired by the GPS unit. For example, the AI ​​navigation unit calculates an optimal route using a generation AI (e.g., a text generation AI or a multimodal generation AI). The AI ​​navigation unit can provide instructions to a child through audio guidance or visual guidance. The AI ​​navigation unit can recalculate the route in real time and provide optimal navigation. The camera unit acquires video. For example, the camera unit may incorporate a high-resolution camera to capture the scenery the child is viewing. The camera unit can also acquire wide-angle video using a wide-angle lens. The camera unit can also use an infrared camera to acquire clear video even in dark places. The recording unit records the video captured by the camera unit. For example, the recording unit saves the video in an internal memory. The recording unit can also upload the video to cloud storage. The recording unit can also compress the video to enable longer recording times. The UV cut unit blocks ultraviolet rays. For example, the UV cut unit uses lenses with a UV cut coating. The UV cut unit can also block a specific range of ultraviolet wavelengths. The UV cut unit can also adjust the cut rate depending on the intensity of ultraviolet rays. As a result, the multifunctional kids' glasses according to the embodiment ensure the safety of children, allow parents to check their children's condition in real time, and protect their eyes from ultraviolet rays.

[0030] The AI ​​navigation unit receives prompts containing the child's instructions as input information, calculates the optimal route, and guides the child through audio or visual instructions. The AI ​​navigation unit receives prompts containing the child's instructions as input information and calculates the optimal route. For example, the generation AI receives a prompt such as "I want to go home" and calculates the optimal route. The AI ​​navigation unit also provides instructions to the child through audio guidance. For example, the generation AI provides audio guidance such as "Turn right at the next corner." The AI ​​navigation unit also guides the child through visual instructions. For example, the generation AI provides route guidance by displaying arrows on the display of the glasses. This reduces the risk of the child getting lost.

[0031] The camera unit can enable parents to check what their children are seeing in real time. For example, the camera unit can capture what the children are seeing and stream the video to the parent's smartphone. The camera unit can also upload the video to the cloud so that the parent can view it through a web browser. The camera unit can also record the video so that the parent can view it later. This allows parents to check what their children are doing in real time.

[0032] The recording unit can record video captured by the camera unit so that it can be viewed later. For example, the recording unit can record video captured by the camera unit so that it can be viewed later. For example, the recording unit can save video in built-in memory. The recording unit can also upload video to cloud storage. The recording unit can also compress video to enable longer recording times. This is useful in the event of an accident or other problem.

[0033] UV-cutting sections can protect your eyes from UV rays. For example, UV-cutting sections use lenses with UV-cutting coating. UV-cutting sections can also cut out specific ranges of UV wavelengths. UV-cutting sections can also adjust the cut rate depending on the strength of UV rays. This helps maintain eye health even during long periods of outdoor activity.

[0034] The GPS unit uses sensors to detect walking speed or fatigue level, and the generation AI can suggest optimal rest spots. For example, the GPS unit may incorporate a sensor built into the glasses that monitors walking speed in real time and estimates fatigue level. For example, if the walking speed slows or if the child continues walking for a certain period of time, the generation AI will suggest rest spots such as nearby parks or benches. The GPS unit also uses a heart rate sensor built into the glasses to measure the child's fatigue level. For example, if the heart rate rises, the generation AI will suggest optimal rest spots and encourage the child to take a break. The GPS unit also combines walking data with environmental data to allow the generation AI to predict the child's fatigue level and suggest appropriate rest spots. Environmental conditions are also taken into account, for example, suggesting shady areas on hot days. This reduces fatigue for children and allows them to move safely.

[0035] The GPS unit allows the generating AI to suggest tourist spots or playgrounds along the way based on interests or preferences. For example, the GPS unit learns a child's past behavioral data and interests, and the generating AI suggests tourist spots and playgrounds along the way. For example, it would suggest zoos and pet shops for a child who likes animals. The GPS unit also suggests recommended spots along the way based on the child's preferences and interests set in advance by the parent. For example, it would suggest science museums and museums for a child who is interested in science. The GPS unit also detects places where a child shows interest in real time, and the generating AI provides information about those places. For example, if a child shows interest in a particular building or park, it will display detailed information about that place. This allows children to travel with interest and enjoyment.

[0036] The GPS unit can suggest covered routes when it rains based on weather information. For example, the GPS unit obtains weather information in real time and prioritizes covered routes and underground passages when it rains. For example, it guides children to routes that go through commercial facilities or subway passages. The GPS unit also uses weather information to allow the AI ​​to calculate the optimal route when it rains and guides the child to it. For example, if it starts to rain, it will suggest a route to the nearest covered place or inside a building. The GPS unit also combines weather information with the child's current location, allowing the AI ​​to suggest a safe and comfortable route when it rains. For example, it will suggest a route to take shelter in a nearby cafe or library before the rain gets heavier. This allows children to travel safely even when it rains.

[0037] The GPS unit can link with other child devices to share route guidance information across multiple devices. For example, the GPS unit links the glasses and smartwatch via Bluetooth to share route guidance information. For example, route guidance information displayed on the glasses can also be displayed on the smartwatch so that the child can check it. The GPS unit can also link with other child devices to create a system that shares route guidance information in real time. For example, it can link with a parent's smartphone to allow the parent to check the child's current location and route. The GPS unit can also link the glasses with other devices to provide route guidance information via audio. For example, route guidance information can be provided via audio from the smartwatch, allowing the child to receive visual and audio information simultaneously. This allows route guidance information to be shared across multiple devices.

[0038] The camera unit uses a generation AI to perform object recognition on camera footage in real time, and can issue a warning if it detects a dangerous object or suspicious person. For example, the camera unit analyzes camera footage built into the glasses in real time, and the generation AI performs object recognition. For example, if it detects a dangerous object or suspicious person, it issues an audio or visual warning. The camera unit also builds a system in which the generation AI analyzes camera footage and notifies parents when it detects a dangerous object or suspicious person. For example, it sends a warning message to the parent's smartphone. The camera unit also analyzes camera footage in real time, and if the generation AI detects a dangerous object or suspicious person, it instructs children to evacuate. For example, if a dangerous object is approaching, it instructs them to move to a safe place. This detects dangerous objects and suspicious people and ensures the safety of children.

[0039] The recording unit allows the generation AI to automatically edit the recorded footage, extracting only important scenes and notifying parents. For example, the recording unit uses the generation AI to analyze the recorded footage and automatically extract important scenes. For example, it detects scenes of children playing or dangerous situations and notifies parents. The recording unit also uses the generation AI to edit the recorded footage and create a digest video that compiles only important scenes. For example, it allows users to quickly check a child's daily activities. The recording unit also analyzes the recorded footage, and the generation AI detects specific events or actions. For example, it extracts scenes of a child falling or arriving at a specific location and notifies parents. This allows parents to check only important scenes.

[0040] The camera unit combines camera functionality with AR, and can overlay educational information on the scenery a child is looking at. For example, the camera unit combines AR technology with camera images built into the glasses to overlay educational information on the scenery a child is looking at. For example, it displays the names and characteristics of animals at a zoo. The camera unit also uses AR technology to build a system that displays historical information or scientific knowledge on the scenery a child is looking at. For example, it displays detailed information about exhibits at a museum. The camera unit also combines AR technology with camera images to provide interactive educational content on the scenery a child is looking at. For example, it displays an animation of the plant growth process at a botanical garden. This makes it possible to provide educational information on the scenery a child is looking at.

[0041] The recording unit can use the recording function to provide parents with a time-lapse video of their child's daily activities. For example, the recording unit records a child's daily activities using a camera built into the glasses, and the generation AI edits the video into a time-lapse video. For example, this allows parents to quickly review the highlights of their child's day. The recording unit will also build a system that analyzes the recorded video and the generation AI extracts important scenes to create a time-lapse video. For example, it will provide a video summarizing a child's play and learning. The recording unit will also develop a system that automatically generates time-lapse videos that parents can easily view on their smartphones. For example, this allows parents to quickly review their child's daily activities.

[0042] The UV-cutting section can automatically adjust the lens color to provide optimal visibility according to the ambient light. For example, the UV-cutting section uses a built-in optical sensor to detect the intensity of ambient light in real time and automatically adjust the lens color. For example, the lens darkens in strong sunlight and returns to a clear color indoors. The UV-cutting section also incorporates technology to adjust the lens color according to ambient light, ensuring children always have optimal visibility. For example, the lens darkens appropriately on cloudy days or in the evening, reducing eye strain. Furthermore, the UV-cutting section will combine optical sensors with automatic dimming technology to develop a system that dynamically adjusts the lens color according to changes in ambient light. For example, the lens color instantly changes when moving from outdoors to indoors. This allows for optimal visibility according to the ambient light.

[0043] The UV-cutting section can combine UV-cutting functionality with a temperature sensor, and use a material with a cooling effect when the child feels hot. For example, the UV-cutting section could use a temperature sensor built into the glasses to use a material with a cooling effect when the child feels hot. For example, a material that exhibits a cooling effect when the temperature exceeds a certain level could be used in the lenses and frame. The UV-cutting section could also combine a temperature sensor with a material with a cooling effect to create a system in which the glasses automatically cool when the child feels hot. For example, cooling gel could be built into the frame. The UV-cutting section could also use a temperature sensor to develop a system that dynamically adjusts the cooling material when the child feels hot. For example, the cooling material could change depending on the temperature. This would allow the cooling material to be used when the child feels hot.

[0044] The UV-cutting part applies an antibacterial coating to the lenses to keep them clean. For example, the UV-cutting part applies an antibacterial coating to the lenses of glasses to prevent the adhesion of bacteria and viruses. For example, a nano-coating with antibacterial properties is applied to the lens surface. The UV-cutting part also uses lenses with an antibacterial coating to keep them clean even when children use them for long periods of time. For example, the antibacterial coating suppresses bacterial growth on the lens surface. The UV-cutting part also creates a system to regularly replace the antibacterial-coated lenses to keep them always clean. For example, the lenses are replaced when the effectiveness of the antibacterial coating wears off. This helps maintain the cleanliness of the lenses.

[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] Multifunctional kids' glasses can also be equipped with a voice recognition unit. The voice recognition unit can recognize a child's voice and execute functions in response to specific commands. For example, if a child says, "Take a picture," the camera unit will automatically take a photo. Also, if a child says, "Give me directions," the voice recognition unit can calculate the optimal route and start voice guidance. Furthermore, if a child says, "Call Mom," the voice recognition unit can send a notification to the parent's smartphone and start a call. This allows children to easily operate the functions of the glasses.

[0047] Multifunctional kids' glasses can also be equipped with a temperature sensor unit. The temperature sensor unit can monitor the child's body temperature and the surrounding temperature in real time and notify parents if an abnormality is detected. For example, if the child's body temperature rises, a notification can be sent to the parent's smartphone to prompt appropriate action. The temperature sensor unit can also send a notification if the surrounding temperature changes suddenly. For example, if the child suddenly moves to a cold place, the parent can be notified and prompted to take measures to protect themselves from the cold. This allows the child's health to be constantly monitored and appropriate action can be taken.

[0048] The multifunctional kids' glasses can further include a music player. The music player can play music that children like, allowing them to enjoy music while traveling or taking a break. For example, a playlist preset by a parent can be played. The music player can also play specific songs at the child's request. For example, if a child says, "Play my favorite song," the voice recognition unit receives the request, and the music player plays the corresponding song. Furthermore, the music player can select appropriate music depending on the child's activity. For example, it can play fast-paced music while exercising and calm music while relaxing. This allows the child to have fun.

[0049] Multifunctional kids' glasses can also be equipped with a translation unit. The translation unit can perform real-time translation when a child communicates with someone who speaks a foreign language. For example, if a child is spoken to in a foreign language, the translation unit translates the content into their native language and displays it as audio or text. Also, if a child wants to speak in a foreign language, the translation unit can translate the content into the foreign language and convey it to the other person. Furthermore, the translation unit can provide phrases that are useful when traveling or interacting with foreigners. For example, it displays basic phrases such as "hello" and "thank you." This allows children to communicate smoothly with people who speak a foreign language.

[0050] Multifunctional kids' glasses can also be equipped with a health management unit. The health management unit can monitor a child's health and notify parents if an abnormality is detected. For example, it can measure heart rate and blood pressure and send a notification to the parent's smartphone if an abnormality is detected. The health management unit can also record a child's activity level and detect insufficient or excessive exercise. For example, if a child has not exercised for a certain period of time, it can notify the parent and encourage them to exercise. Furthermore, the health management unit can manage the child's diet and sleep records to support a balanced lifestyle. This allows parents to constantly monitor their child's health and take appropriate measures.

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

[0052] Step 1: The GPS unit acquires the current location. For example, the GPS unit receives satellite signals and calculates the current location. The GPS unit can also correct the current location using Wi-Fi or Bluetooth. Furthermore, the GPS unit can periodically update the current location to improve accuracy. Step 2: The AI ​​navigation unit provides route guidance based on the current location acquired by the GPS unit. For example, the AI ​​navigation unit calculates the optimal route using a generation AI (e.g., a text generation AI or a multimodal generation AI). The AI ​​navigation unit can also provide instructions to the child through audio guidance or visual guidance. Furthermore, the AI ​​navigation unit can recalculate the route in real time and provide optimal route guidance. Step 3: The camera unit captures images. For example, the camera unit may incorporate a high-resolution camera to capture the scenery the child is looking at. The camera unit may also capture images of a wide range using a wide-angle lens. Furthermore, the camera unit may use an infrared camera to capture clear images even in dark places. Step 4: The recording unit records the video captured by the camera unit. For example, the recording unit may save the video in its internal memory. The recording unit may also upload the video to cloud storage. Furthermore, the recording unit may compress the video to enable longer recording times. Step 5: The UV cut section cuts out ultraviolet rays. For example, the UV cut section uses lenses with a UV cut coating. The UV cut section can also cut out a specific range of ultraviolet wavelengths. Furthermore, the UV cut section can adjust the cut rate depending on the strength of the ultraviolet rays.

[0053] (Example 2) The multifunctional kids' glasses according to an embodiment of the present invention are a system that includes a GPS and AI navigation function, a camera and video recording function, and UV protection, ensuring the safety of children and allowing parents to check their children's condition in real time while protecting their eyes from UV rays.

[0054] The multifunctional kids' glasses according to the embodiment include a GPS unit, an AI navigation unit, a camera unit, a recording unit, and a UV protection unit. The GPS unit acquires a current location. For example, the GPS unit receives satellite signals to calculate the current location. The GPS unit can also correct the current location using Wi-Fi or Bluetooth. The GPS unit can periodically update the current location to improve accuracy. The AI ​​navigation unit provides navigation based on the current location acquired by the GPS unit. For example, the AI ​​navigation unit calculates an optimal route using a generation AI (e.g., a text generation AI or a multimodal generation AI). The AI ​​navigation unit can provide instructions to a child through audio guidance or visual guidance. The AI ​​navigation unit can recalculate the route in real time and provide optimal navigation. The camera unit acquires video. For example, the camera unit may incorporate a high-resolution camera to capture the scenery the child is viewing. The camera unit can also acquire wide-angle video using a wide-angle lens. The camera unit can also use an infrared camera to acquire clear video even in dark places. The recording unit records the video captured by the camera unit. For example, the recording unit saves the video in an internal memory. The recording unit can also upload the video to cloud storage. The recording unit can also compress the video to enable longer recording times. The UV cut unit blocks ultraviolet rays. For example, the UV cut unit uses lenses with a UV cut coating. The UV cut unit can also block a specific range of ultraviolet wavelengths. The UV cut unit can also adjust the cut rate depending on the intensity of ultraviolet rays. As a result, the multifunctional kids' glasses according to the embodiment ensure the safety of children, allow parents to check their children's condition in real time, and protect their eyes from ultraviolet rays.

[0055] The AI ​​navigation unit receives prompts containing the child's instructions as input information, calculates the optimal route, and guides the child through audio or visual instructions. The AI ​​navigation unit receives prompts containing the child's instructions as input information and calculates the optimal route. For example, the generation AI receives a prompt such as "I want to go home" and calculates the optimal route. The AI ​​navigation unit also provides instructions to the child through audio guidance. For example, the generation AI provides audio guidance such as "Turn right at the next corner." The AI ​​navigation unit also guides the child through visual instructions. For example, the generation AI provides route guidance by displaying arrows on the display of the glasses. This reduces the risk of the child getting lost.

[0056] The camera unit can enable parents to check what their children are seeing in real time. For example, the camera unit can capture what the children are seeing and stream the video to the parent's smartphone. The camera unit can also upload the video to the cloud so that the parent can view it through a web browser. The camera unit can also record the video so that the parent can view it later. This allows parents to check what their children are doing in real time.

[0057] The recording unit can record video captured by the camera unit so that it can be viewed later. For example, the recording unit can record video captured by the camera unit so that it can be viewed later. For example, the recording unit can save video in built-in memory. The recording unit can also upload video to cloud storage. The recording unit can also compress video to enable longer recording times. This is useful in the event of an accident or other problem.

[0058] UV-cutting sections can protect your eyes from UV rays. For example, UV-cutting sections use lenses with UV-cutting coating. UV-cutting sections can also cut out specific ranges of UV wavelengths. UV-cutting sections can also adjust the cut rate depending on the strength of UV rays. This helps maintain eye health even during long periods of outdoor activity.

[0059] The GPS unit uses sensors to detect walking speed or fatigue level, and the generation AI can suggest optimal rest spots. For example, the GPS unit may incorporate a sensor built into the glasses that monitors walking speed in real time and estimates fatigue level. For example, if the walking speed slows or if the child continues walking for a certain period of time, the generation AI will suggest rest spots such as nearby parks or benches. The GPS unit also uses a heart rate sensor built into the glasses to measure the child's fatigue level. For example, if the heart rate rises, the generation AI will suggest optimal rest spots and encourage the child to take a break. The GPS unit also combines walking data with environmental data to allow the generation AI to predict the child's fatigue level and suggest appropriate rest spots. Environmental conditions are also taken into account, for example, suggesting shady areas on hot days. This reduces fatigue for children and allows them to move safely.

[0060] The GPS unit allows the generating AI to suggest tourist spots or playgrounds along the way based on interests or preferences. For example, the GPS unit learns a child's past behavioral data and interests, and the generating AI suggests tourist spots and playgrounds along the way. For example, it would suggest zoos and pet shops for a child who likes animals. The GPS unit also suggests recommended spots along the way based on the child's preferences and interests set in advance by the parent. For example, it would suggest science museums and museums for a child who is interested in science. The GPS unit also detects places where a child shows interest in real time, and the generating AI provides information about those places. For example, if a child shows interest in a particular building or park, it will display detailed information about that place. This allows children to travel with interest and enjoyment.

[0061] The GPS unit uses its emotion estimation function to enable the generation AI to provide a reassuring voice message if a child feels anxious or scared. The GPS unit, for example, uses a camera and microphone built into the glasses to analyze a child's facial expressions and tone of voice to estimate their emotions. For example, if a child feels anxious or scared, the generation AI provides a reassuring voice message. The GPS unit also uses its emotion estimation function to build a system that notifies parents when a child feels anxious, allowing the parents to send reassuring messages to their children in real time. For example, a notification is sent to the parent's smartphone, allowing the parent to send a reassuring message to their child. Furthermore, if a child feels anxious or scared, the GPS unit's generation AI plays relaxing music or natural sounds to reassure the child. For example, it could play calming music or birdsong. This allows the child to travel safely.

[0062] The GPS unit can suggest covered routes when it rains based on weather information. For example, the GPS unit obtains weather information in real time and prioritizes covered routes and underground passages when it rains. For example, it guides children to routes that go through commercial facilities or subway passages. The GPS unit also uses weather information to allow the AI ​​to calculate the optimal route when it rains and guides the child to it. For example, if it starts to rain, it will suggest a route to the nearest covered place or inside a building. The GPS unit also combines weather information with the child's current location, allowing the AI ​​to suggest a safe and comfortable route when it rains. For example, it will suggest a route to take shelter in a nearby cafe or library before the rain gets heavier. This allows children to travel safely even when it rains.

[0063] The GPS unit can link with other child devices to share route guidance information across multiple devices. For example, the GPS unit links the glasses and smartwatch via Bluetooth to share route guidance information. For example, route guidance information displayed on the glasses can also be displayed on the smartwatch so that the child can check it. The GPS unit can also link with other child devices to create a system that shares route guidance information in real time. For example, it can link with a parent's smartphone to allow the parent to check the child's current location and route. The GPS unit can also link the glasses with other devices to provide route guidance information via audio. For example, route guidance information can be provided via audio from the smartwatch, allowing the child to receive visual and audio information simultaneously. This allows route guidance information to be shared across multiple devices.

[0064] The GPS unit uses an emotion estimation function to determine in real time whether a child is having fun, and if not, it can suggest an alternative route. The GPS unit, for example, uses a camera and microphone built into the glasses to analyze a child's facial expressions and tone of voice to determine in real time whether they are having fun. For example, if they are not having fun, the generation AI will suggest an alternative route or spot. The GPS unit also uses the emotion estimation function to notify parents if their child is not having fun, building a system that allows parents to suggest alternative routes or spots. For example, parents can check their child's emotional state on their smartphone and give appropriate instructions. The GPS unit also uses the generation AI to suggest alternative routes or spots in real time if a child is not having fun. For example, if a child is bored, it will suggest a nearby playground or park. This allows children to travel enjoyably.

[0065] The camera unit uses a generation AI to perform object recognition on camera footage in real time, and can issue a warning if it detects a dangerous object or suspicious person. For example, the camera unit analyzes camera footage built into the glasses in real time, and the generation AI performs object recognition. For example, if it detects a dangerous object or suspicious person, it issues an audio or visual warning. The camera unit also builds a system in which the generation AI analyzes camera footage and notifies parents when it detects a dangerous object or suspicious person. For example, it sends a warning message to the parent's smartphone. The camera unit also analyzes camera footage in real time, and if the generation AI detects a dangerous object or suspicious person, it instructs children to evacuate. For example, if a dangerous object is approaching, it instructs them to move to a safe place. This detects dangerous objects and suspicious people and ensures the safety of children.

[0066] The recording unit allows the generation AI to automatically edit the recorded footage, extracting only important scenes and notifying parents. For example, the recording unit uses the generation AI to analyze the recorded footage and automatically extract important scenes. For example, it detects scenes of children playing or dangerous situations and notifies parents. The recording unit also uses the generation AI to edit the recorded footage and create a digest video that compiles only important scenes. For example, it allows users to quickly check a child's daily activities. The recording unit also analyzes the recorded footage, and the generation AI detects specific events or actions. For example, it extracts scenes of a child falling or arriving at a specific location and notifies parents. This allows parents to check only important scenes.

[0067] The camera unit can use the emotion estimation function to automatically record moments when a child is having fun as highlights. For example, the camera unit uses a camera and microphone built into the glasses to analyze a child's facial expressions and tone of voice and detect moments when the child is having fun in real time. For example, if a smile or laughter is detected, the camera unit records the scene as a highlight. The camera unit also uses the emotion estimation function to build a system that automatically edits moments when a child is having fun as highlights. For example, it creates a video that compiles fun moments at a playground. The camera unit also develops a system that detects moments when a child is having fun in real time and notifies parents. For example, it allows parents to check their child's fun moments on their smartphone. This allows children's fun moments to be recorded.

[0068] The camera unit combines camera functionality with AR, and can overlay educational information on the scenery a child is looking at. For example, the camera unit combines AR technology with camera images built into the glasses to overlay educational information on the scenery a child is looking at. For example, it displays the names and characteristics of animals at a zoo. The camera unit also uses AR technology to build a system that displays historical information or scientific knowledge on the scenery a child is looking at. For example, it displays detailed information about exhibits at a museum. The camera unit also combines AR technology with camera images to provide interactive educational content on the scenery a child is looking at. For example, it displays an animation of the plant growth process at a botanical garden. This makes it possible to provide educational information on the scenery a child is looking at.

[0069] The recording unit can use the recording function to provide parents with a time-lapse video of their child's daily activities. For example, the recording unit records a child's daily activities using a camera built into the glasses, and the generation AI edits the video into a time-lapse video. For example, this allows parents to quickly review the highlights of their child's day. The recording unit will also build a system that analyzes the recorded video and the generation AI extracts important scenes to create a time-lapse video. For example, it will provide a video summarizing a child's play and learning. The recording unit will also develop a system that automatically generates time-lapse videos that parents can easily view on their smartphones. For example, this allows parents to quickly review their child's daily activities.

[0070] The camera unit can use the emotion estimation function to record moments when a child feels anxious and notify the parent. The camera unit, for example, uses a camera and microphone built into the glasses to analyze the child's facial expressions and tone of voice and detect moments when the child feels anxious in real time. For example, if an anxious facial expression or tone of voice is detected, the camera unit records the scene and notifies the parent. The camera unit also uses the emotion estimation function to build a system that automatically records moments when a child feels anxious and notifies the parent. For example, a video of the moment when the child feels anxious is sent to the parent's smartphone. The camera unit also develops a system that detects moments when a child feels anxious in real time and allows the parent to respond immediately. For example, the parent can check the child's anxious moments on their smartphone and take appropriate action. This allows the parent to understand the child's anxious moments and respond appropriately.

[0071] The UV-cutting section can automatically adjust the lens color to provide optimal visibility according to the ambient light. For example, the UV-cutting section uses a built-in optical sensor to detect the intensity of ambient light in real time and automatically adjust the lens color. For example, the lens darkens in strong sunlight and returns to a clear color indoors. The UV-cutting section also incorporates technology to adjust the lens color according to ambient light, ensuring children always have optimal visibility. For example, the lens darkens appropriately on cloudy days or in the evening, reducing eye strain. Furthermore, the UV-cutting section will combine optical sensors with automatic dimming technology to develop a system that dynamically adjusts the lens color according to changes in ambient light. For example, the lens color instantly changes when moving from outdoors to indoors. This allows for optimal visibility according to the ambient light.

[0072] The UV cut unit uses emotion estimation to automatically adjust the lens color if a child feels glare. For example, the UV cut unit uses a camera and microphone built into the glasses to analyze a child's facial expressions and tone of voice, automatically adjusting the lens color if the child feels glare. For example, it darkens the lenses if it detects a child's expression that looks like they are dazzled. The UV cut unit also uses emotion estimation to notify parents when their child feels glare, allowing them to remotely adjust the lens color. For example, parents could adjust the lens color via their smartphone. The UV cut unit also develops a system in which a generative AI adjusts the lens color in real time if a child feels glare. For example, it could darken the lenses the moment the child feels glare, reducing eye strain. This allows the lens color to be automatically adjusted if a child feels glare.

[0073] The UV-cutting section can combine UV-cutting functionality with a temperature sensor, and use a material with a cooling effect when the child feels hot. For example, the UV-cutting section could use a temperature sensor built into the glasses to use a material with a cooling effect when the child feels hot. For example, a material that exhibits a cooling effect when the temperature exceeds a certain level could be used in the lenses and frame. The UV-cutting section could also combine a temperature sensor with a material with a cooling effect to create a system in which the glasses automatically cool when the child feels hot. For example, cooling gel could be built into the frame. The UV-cutting section could also use a temperature sensor to develop a system that dynamically adjusts the cooling material when the child feels hot. For example, the cooling material could change depending on the temperature. This would allow the cooling material to be used when the child feels hot.

[0074] The UV-cutting part applies an antibacterial coating to the lenses to keep them clean. For example, the UV-cutting part applies an antibacterial coating to the lenses of glasses to prevent the adhesion of bacteria and viruses. For example, a nano-coating with antibacterial properties is applied to the lens surface. The UV-cutting part also uses lenses with an antibacterial coating to keep them clean even when children use them for long periods of time. For example, the antibacterial coating suppresses bacterial growth on the lens surface. The UV-cutting part also creates a system to regularly replace the antibacterial-coated lenses to keep them always clean. For example, the lenses are replaced when the effectiveness of the antibacterial coating wears off. This helps maintain the cleanliness of the lenses.

[0075] The UV-cut unit can use emotion estimation to adjust the lens transmittance to maintain a comfortable environment for children. For example, the UV-cut unit uses a camera and microphone built into the glasses to analyze the child's facial expressions and tone of voice and adjust the lens transmittance to maintain a comfortable environment. For example, it darkens the lenses if the child feels glare. The UV-cut unit also uses emotion estimation to notify parents to maintain a comfortable environment for their children, building a system that allows parents to remotely adjust the lens transmittance. For example, parents can adjust the lens transmittance via their smartphone. The UV-cut unit also develops a system in which generative AI adjusts the lens transmittance in real time to maintain a comfortable environment for children. For example, it optimizes the lens transmittance at the moment the child feels comfortable. This helps maintain a comfortable environment for children.

[0076] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0077] Multifunctional kids' glasses can also be equipped with a voice recognition unit. The voice recognition unit can recognize a child's voice and execute functions in response to specific commands. For example, if a child says, "Take a picture," the camera unit will automatically take a photo. Also, if a child says, "Give me directions," the voice recognition unit can calculate the optimal route and start voice guidance. Furthermore, if a child says, "Call Mom," the voice recognition unit can send a notification to the parent's smartphone and start a call. This allows children to easily operate the functions of the glasses.

[0078] Multifunctional kids' glasses can also be equipped with a temperature sensor unit. The temperature sensor unit can monitor the child's body temperature and the surrounding temperature in real time and notify parents if an abnormality is detected. For example, if the child's body temperature rises, a notification can be sent to the parent's smartphone to prompt appropriate action. The temperature sensor unit can also send a notification if the surrounding temperature changes suddenly. For example, if the child suddenly moves to a cold place, the parent can be notified and prompted to take measures to protect themselves from the cold. This allows the child's health to be constantly monitored and appropriate action can be taken.

[0079] The multifunctional kids' glasses can further include a music player. The music player can play music that children like, allowing them to enjoy music while traveling or taking a break. For example, a playlist preset by a parent can be played. The music player can also play specific songs at the child's request. For example, if a child says, "Play my favorite song," the voice recognition unit receives the request, and the music player plays the corresponding song. Furthermore, the music player can select appropriate music depending on the child's activity. For example, it can play fast-paced music while exercising and calm music while relaxing. This allows the child to have fun.

[0080] Multifunctional kids' glasses can also be equipped with a translation unit. The translation unit can perform real-time translation when a child communicates with someone who speaks a foreign language. For example, if a child is spoken to in a foreign language, the translation unit translates the content into their native language and displays it as audio or text. Also, if a child wants to speak in a foreign language, the translation unit can translate the content into the foreign language and convey it to the other person. Furthermore, the translation unit can provide phrases that are useful when traveling or interacting with foreigners. For example, it displays basic phrases such as "hello" and "thank you." This allows children to communicate smoothly with people who speak a foreign language.

[0081] Multifunctional kids' glasses can also be equipped with a health management unit. The health management unit can monitor a child's health and notify parents if an abnormality is detected. For example, it can measure heart rate and blood pressure and send a notification to the parent's smartphone if an abnormality is detected. The health management unit can also record a child's activity level and detect insufficient or excessive exercise. For example, if a child has not exercised for a certain period of time, it can notify the parent and encourage them to exercise. Furthermore, the health management unit can manage the child's diet and sleep records to support a balanced lifestyle. This allows parents to constantly monitor their child's health and take appropriate measures.

[0082] The multifunctional kids' glasses can also use the emotion estimation function to provide content that has a relaxing effect when a child feels stressed. For example, if a child feels stressed, the generation AI can play relaxing music or natural sounds. The emotion estimation function can also be used to notify parents when their child feels stressed, allowing the parents to remotely provide relaxing content. For example, the parent can play a relaxing video on their smartphone. The emotion estimation function can also be used to enable the generation AI to provide relaxing animations or games when a child feels stressed. This helps children relax when they feel stressed.

[0083] The multifunctional kids' glasses can also use the emotion estimation function to provide content to help children calm down when they are excited. For example, if a child is excited, the generation AI can provide breathing exercises or meditation guides to help them calm down. The emotion estimation function can also be used to notify parents when their child is excited and provide content to help the parents calm down remotely. For example, the parent can play music to help them calm down on their smartphone. The emotion estimation function can also be used to provide stretching or yoga guides to help children calm down when they are excited. This helps children calm down when they are excited.

[0084] The multifunctional kids' glasses can also use an emotion estimation function to encourage children to take a break if they are tired. For example, if a child is tired, the generation AI will suggest a nearby rest spot and encourage them to take a break. The emotion estimation function can also be used to notify parents when their child is tired, allowing the parent to remotely encourage them to take a break. For example, the parent can send a message via smartphone encouraging them to take a break. The emotion estimation function can also be used to encourage children to take a break by playing relaxing music or natural sounds. This allows children to take appropriate breaks when they are tired.

[0085] The multifunctional kids' glasses also use an emotion estimation function to suppress notifications when a child is concentrating. For example, when a child is concentrating, the generation AI temporarily stops notifications to avoid disrupting their concentration. The emotion estimation function can also be used to notify parents when their child is concentrating, allowing the parent to remotely suppress notifications. For example, the parent can temporarily stop notifications on their smartphone. The emotion estimation function can also be used to play ambient sounds or music to help the generation AI maintain concentration when a child is concentrating. This helps children maintain their concentration when they are concentrating.

[0086] The multifunctional kids' glasses also use an emotion estimation function to record moments when a child is having fun. For example, when a child is having fun, the generation AI automatically records the moment and notifies the parent. The emotion estimation function can also be used to notify parents when their child is having fun, allowing the parent to remotely record the moment. For example, the parent can start recording on their smartphone. The emotion estimation function can also be used to edit moments when a child is having fun, allowing the generation AI to edit the moment as highlights and provide them to the parent. This allows the child's fun moments to be recorded and looked back on later.

[0087] The processing flow of the second embodiment will be briefly explained below.

[0088] Step 1: The GPS unit acquires the current location. For example, the GPS unit receives satellite signals and calculates the current location. The GPS unit can also correct the current location using Wi-Fi or Bluetooth. Furthermore, the GPS unit can periodically update the current location to improve accuracy. Step 2: The AI ​​navigation unit provides route guidance based on the current location acquired by the GPS unit. For example, the AI ​​navigation unit calculates the optimal route using a generation AI (e.g., a text generation AI or a multimodal generation AI). The AI ​​navigation unit can also provide instructions to the child through audio guidance or visual guidance. Furthermore, the AI ​​navigation unit can recalculate the route in real time and provide optimal route guidance. Step 3: The camera unit captures images. For example, the camera unit may incorporate a high-resolution camera to capture the scenery the child is looking at. The camera unit may also capture images of a wide range using a wide-angle lens. Furthermore, the camera unit may use an infrared camera to capture clear images even in dark places. Step 4: The recording unit records the video captured by the camera unit. For example, the recording unit may save the video in its internal memory. The recording unit may also upload the video to cloud storage. Furthermore, the recording unit may compress the video to enable longer recording times. Step 5: The UV cut section cuts out ultraviolet rays. For example, the UV cut section uses lenses with a UV cut coating. The UV cut section can also cut out a specific range of ultraviolet wavelengths. Furthermore, the UV cut section can adjust the cut rate depending on the strength of the ultraviolet rays.

[0089] 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.

[0090] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<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.

[0091] 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.

[0092] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0093] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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).

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0102] 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. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0103] 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.

[0104] 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.

[0105] 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 AI 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.

[0106] 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.

[0107] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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).

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0117] In the headset type terminal 314, 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 headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0118] 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.

[0119] 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.

[0120] 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 AI 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.

[0121] 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.

[0122] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0123] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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).

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0133] In the robot 414, 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. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0134] 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.

[0135] 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.

[0136] 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 AI 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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 "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0143] 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."

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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]

[0156] 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. A GPS unit that acquires the current location, an AI route guidance unit that provides route guidance based on the current location acquired by the GPS unit; a camera unit for acquiring images; a recording unit that records the video captured by the camera unit; Equipped with a UV cut section that cuts ultraviolet rays A system characterized by:

2. The AI ​​route guidance unit It takes prompts containing the child's instructions as input, calculates the optimal route, and guides the child through audio or visual instructions.

2. The system of claim 1.

3. The camera unit Allows parents to check what their child is seeing in real time 2. The system of claim 1.

4. The recording unit The video captured by the camera unit is recorded so that it can be viewed later.

2. The system of claim 1.

5. The UV cut section is Protect your eyes from UV rays 2. The system of claim 1.

Images