system

Abstract

The system according to the embodiment aims to provide instant answers about objects that interest young children and promote intellectual development and communication. [Solution] A system according to an embodiment includes a camera unit, an analysis unit, and an audio output unit. The camera unit captures an image of an object. The analysis unit analyzes the image captured by the camera unit and determines the object. The audio output unit outputs the result of the determination by the analysis unit as audio.

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 provide immediate answers about objects that interest young children, limiting opportunities for intellectual development and communication.

[0005] The system according to the embodiment aims to provide instant answers about objects that interest young children and promote intellectual development and communication. [Means for solving the problem]

[0006] The system according to the embodiment includes a camera unit, an analysis unit, and an audio output unit. The camera unit captures an image of an object. The analysis unit analyzes the image captured by the camera unit and determines the object. The audio output unit outputs the result of the determination by the analysis unit as audio. [Effects of the Invention]

[0007] The system according to the embodiment can provide instant answers about objects that interest young children, and promote intellectual development and communication. [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) In an embodiment of the educational system of the present invention, an AI responds to the question "What's this?", which is of constant interest to children around three years old, through a mascot's eyes (camera). In this educational system, a camera built into the mascot's eyes first captures a photograph of an object, and then the AI ​​analyzes the image to determine its identity. For example, if the object is food, the AI ​​can provide information such as "sweet" or "delicious," while if it is an animal, it can play the animal's sound. This allows children to acquire knowledge through a conversational format and foster their imagination. Furthermore, this system allows fathers who are not good at physical contact to communicate with their children and also serves as a learning experience. Furthermore, the system can be attached to a favorite character, making conversation even more enjoyable. For example, a camera built into the mascot's eyes captures a photograph of an object, and the AI ​​analyzes the image to determine the object. If it is food, the AI ​​can provide information such as "This is food. It's sweet," and if it is an animal, the AI ​​can provide information such as "This is an animal. It sounds like this," and play the animal's sound. This allows children to acquire knowledge through a conversational format and enjoy learning. Furthermore, this system allows fathers who are not good at physical contact to communicate with their children and also serves as a learning opportunity. It can also be attached to a favorite character, making learning more personal. This allows the educational system to learn about objects that interest children and foster their imagination. It also allows fathers who are not good at physical contact to communicate with their children and also serves as a learning opportunity. It can also be attached to a favorite character, making learning more personal.

[0029] The intellectual training system according to the embodiment includes a camera unit, an analysis unit, and an audio output unit. The camera unit photographs an object. The camera unit can photograph the object using, for example, cameras built into the mascot's eyes. The camera unit can also photograph the object using, for example, a handheld camera or a fixed camera. The camera unit can automatically track the object and photograph it from the optimal angle. The analysis unit analyzes the image photographed by the camera unit and determines the object. The analysis unit determines the object using, for example, image recognition technology. Image recognition technology is realized using, for example, deep learning or computer vision technology. The analysis unit can determine the object by, for example, extracting features of the object and comparing them with a database. The audio output unit outputs the results of the determination by the analysis unit as audio. The audio output unit outputs the determination results as audio using, for example, voice synthesis technology. For example, if the object is food, the audio output unit can provide information such as "sweet" or "delicious." For example, if the object is an animal, the audio output unit can play the animal's cry. As a result, the intellectual education system according to the embodiment allows a child to learn about an object of interest by photographing the object, analyzing it, and outputting the result as audio. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, the camera unit can automatically adjust the optimal shooting angle using AI when photographing an object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, the analysis unit can input an image of the object to AI, which can determine the object. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without AI. For example, the audio output unit can input the determination result to AI, which can generate audio using speech synthesis technology. As a result, the intellectual education system according to the embodiment allows a child to learn about an object of interest by photographing the object using AI, analyzing it, and outputting the result as audio.

[0030] The camera unit can be built into the mascot's eyes. The camera unit can, for example, photograph an object using a camera built into the mascot's eyes. The camera unit can, for example, automatically track an object using a camera built into the mascot's eyes and photograph it from an optimal angle. By building the camera unit into the mascot's eyes, the object can be photographed in a way that is easy for children to understand. Some or all of the above-described processing in the camera unit can be performed using, for example, AI, or can be performed without using AI. For example, the camera unit can use a camera built into the mascot's eyes to automatically track an object and adjust the optimal photographing angle.

[0031] The analysis unit can determine the object using image recognition technology. The analysis unit can determine the object using, for example, image recognition technology. Image recognition technology is realized using, for example, deep learning or computer vision technology. The analysis unit can determine the object by, for example, extracting the features of the object and comparing them with a database. In this way, the use of image recognition technology improves the accuracy of determining the object. Some or all of the above-mentioned processing in the analysis unit can be performed using, for example, AI, or can be performed without using AI. For example, the analysis unit can input an image of the object into AI, which can then determine the object.

[0032] If the object is food, the audio output unit can provide information about the taste and texture. For example, if the object is food, the audio output unit can provide information such as "sweet" or "delicious." If the object is food, the audio output unit can provide information about the taste and texture. For example, it can provide information such as "This is an apple. It's sweet." This allows children to learn about food by providing information about food. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, the audio output unit can input the determination result to AI, which can generate speech using speech synthesis technology.

[0033] The audio output unit can play back the sound of an animal if the object is an animal. For example, the audio output unit can play back the sound of an animal if the object is an animal. For example, the audio output unit can provide information such as, "This is a dog. It barks 'woof woof.'" By playing back the animal's sound, children can learn about animals. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, the audio output unit can input the determination result to AI, which can then generate audio using speech synthesis technology.

[0034] The system can be attached to a specific character. The system can be attached to, for example, a specific character. The system can be attached to, for example, a favorite character. For example, it can be attached to an anime character or an animal character. By attaching the system to a favorite character, children can become more familiar with it and their motivation to learn can be increased. Some or all of the above-mentioned processing in the system may be performed, for example, using AI or may be performed without using AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's movements and facial expressions.

[0035] The camera unit can track the movement of an object and capture it from an appropriate angle. The camera unit can, for example, track the movement of an object and capture it from an appropriate angle. For example, when an object is moving, the camera can automatically track the movement and always capture it from the optimal angle. For example, when an object is rotating, the camera can adjust the angle to match the rotation and capture the entire object. For example, when an object moves up and down, the camera can capture the entire object while moving up and down. In this way, by tracking the movement of the object, it is possible to always capture it from the optimal angle. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when tracking the movement of an object, the camera unit can use AI to detect the movement using a motion sensor or image analysis technology and adjust the optimal shooting angle.

[0036] The camera unit can automatically adjust to capture high-quality images even under different lighting conditions. The camera unit can automatically adjust to capture high-quality images even under different lighting conditions, for example. The camera unit can automatically adjust the exposure in bright places to reduce excessive brightness. The camera unit can automatically increase the sensitivity in dark places to capture bright images, for example. The camera unit can adjust the exposure in real time in places where the light changes drastically to always maintain optimal brightness. This makes it possible to capture high-quality images even under different lighting conditions. Some or all of the above-mentioned processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when capturing images under different lighting conditions, the camera unit can use AI to detect the intensity and direction of the light and automatically adjust the exposure and sensitivity.

[0037] The camera unit can automatically zoom in and out depending on the size or shape of the object. For example, the camera unit can automatically zoom in and out depending on the size and shape of the object. For example, the camera unit can automatically zoom in when photographing a small object to capture details. For example, the camera unit can automatically zoom out when photographing a large object to capture the entire object. For example, the camera unit can adjust the zoom when the shape of the object changes to maintain an optimal frame. This allows the optimal frame to be maintained by adjusting the zoom depending on the size and shape of the object. Some or all of the above-mentioned processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, when the camera unit detects the size and shape of the object, AI can automatically adjust the zoom in and out using image analysis technology.

[0038] The camera unit can simultaneously photograph multiple objects and analyze each image individually. The camera unit can, for example, simultaneously photograph multiple objects and analyze each image individually. The camera unit can, for example, simultaneously photograph multiple foods and analyze information about each food individually. The camera unit can, for example, simultaneously photograph multiple animals and play back the sounds of each animal individually. The camera unit can, for example, simultaneously photograph multiple toys and analyze the characteristics of each toy individually. This allows for efficient provision of information by simultaneously photographing multiple objects and analyzing them individually. Some or all of the above-described processing in the camera unit may be performed, for example, using AI, or may be performed without using AI. For example, when the camera unit simultaneously photographs multiple objects, AI can analyze each object individually using image analysis technology.

[0039] The analysis unit can determine detailed attributes of an object and provide more specific information. For example, the analysis unit can determine detailed attributes (such as color, shape, and material) of an object and provide more specific information. For example, the analysis unit can determine the color, shape, and material of food and provide information such as, "This is a red apple. It's sweet and delicious." For example, the analysis unit can determine the color, shape, and material of an animal and provide information such as, "This is a brown dog. It has fluffy fur." ​​For example, the analysis unit can determine the color, shape, and material of a toy and provide information such as, "This is a blue toy car. It's made of plastic." In this way, more specific information can be provided by determining the detailed attributes of the object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, when determining the detailed attributes of an object, the analysis unit can use AI image analysis technology to determine the color, shape, and material.

[0040] The analysis unit can also analyze the history and background information of the object to provide additional educational information. For example, the analysis unit can analyze the history and background information of the object to provide additional educational information. For example, the analysis unit can analyze the history and background information of a food and provide information such as, "This is an apple. It has long been considered healthy." For example, the analysis unit can analyze the history and background information of an animal and provide information such as, "This is a dog. It has a long history as a human friend." For example, the analysis unit can analyze the history and background information of a toy and provide information such as, "This is a toy car. It has long been popular with children." This enhances the educational value of the object by providing its history and background information. Some or all of the above-described processing in the analysis unit can be performed using, for example, AI, or without AI. For example, when analyzing the history and background information of an object, the analysis unit can use AI to reference a database and collect and provide related information.

[0041] The analysis unit can also analyze other information related to the object and provide comparative information. For example, the analysis unit can analyze other information related to the object (e.g., other objects in the same category) and provide comparative information. For example, the analysis unit can analyze related information about food and provide information such as, "This is an apple. It has more vitamin C than a banana." For example, the analysis unit can analyze related information about animals and provide information such as, "This is a dog. It is more friendly than a cat." For example, the analysis unit can analyze related information about toys and provide information such as, "This is a toy car. It runs faster than a toy airplane." This allows learning through comparison by providing related information about the object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, when analyzing related information about the object, the analysis unit can use AI to refer to a database and collect and provide related information.

[0042] The analysis unit can also provide information about the use and safety of the object. For example, the analysis unit can analyze the use and safety of food and provide information such as, "This is an apple. It is safe to eat if peeled." For example, the analysis unit can analyze the use and safety of animals and provide information such as, "This is a dog. It is safe to handle gently." For example, the analysis unit can analyze the use and safety of toys and provide information such as, "This is a toy car. It contains small parts, so care should be taken." This allows for safer use by providing information about the use and safety of the object. Some or all of the above-described processing by the analysis unit may be performed using, or without, AI. For example, when analyzing information about the use and safety of an object, AI can refer to a database to collect and provide related information.

[0043] The audio output unit can also play music and sound effects related to the object, providing a richer experience. The audio output unit can also play music and sound effects related to the object, providing a richer experience. For example, the audio output unit can play music related to food and provide information such as, "This is an apple. Sweet music is playing." The audio output unit can play sound effects related to animals and provide information such as, "This is a dog. It barks." The audio output unit can play music related to toys and provide information such as, "This is a toy car. You can hear the engine sound." This allows for a richer experience by playing music and sound effects. Some or all of the above-described processing in the audio output unit may be performed using, or without, AI. For example, when the audio output unit plays music and sound effects related to the object, AI can generate the music and sound effects using voice synthesis technology.

[0044] The audio output unit can provide information in multiple languages, providing language learning opportunities. For example, the audio output unit can provide information in multiple languages, providing language learning opportunities. For example, the audio output unit can provide information about food in multiple languages, such as "This is an apple. In English, it's called Apple." For example, the audio output unit can provide information about animals in multiple languages, such as "This is a dog. In English, it's called Dog." For example, the audio output unit can provide information about toys in multiple languages, such as "This is a toy car. In English, it's called Car." This provides language learning opportunities by providing information in multiple languages. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without AI. For example, when the audio output unit provides information in multiple languages, AI can generate speech in each language using speech synthesis technology.

[0045] The audio output unit can play stories or episodes related to the object to attract interest. For example, the audio output unit can play stories or episodes related to the object to attract interest. For example, the audio output unit can play a story related to food and provide information such as, "This is an apple. Once upon a time, there was an apple tree." For example, the audio output unit can play an episode related to animals and provide information such as, "This is a dog. One day, the dog went on an adventure." For example, the audio output unit can play a story related to toys and provide information such as, "This is a toy car. One day, the car participated in a race." This allows the playback of stories or episodes to attract children's interest. Some or all of the above-described processing in the audio output unit may be performed using, or without, AI. For example, when the audio output unit plays stories or episodes related to the object, AI can generate the stories or episodes using voice synthesis technology.

[0046] The audio output unit can provide quizzes and games related to the object to promote learning. For example, the audio output unit can provide quizzes and games related to the object to promote learning. For example, the audio output unit can provide a quiz related to food and ask, "This is an apple. What color is the apple?". For example, the audio output unit can provide a game related to animals and suggest, "This is a dog. Try imitating the sound of a dog barking." For example, the audio output unit can provide a quiz related to toys and ask, "This is a toy car. What color is the car?" This makes it possible to promote learning in a fun way by providing quizzes and games. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, when providing a quiz or game related to the object, the audio output unit can use AI to generate the content of the quiz or game and output it as audio.

[0047] The system can be attached to a specific character, causing the character to perform an action related to an object, supporting visual learning. For example, the system can be attached to a specific character, causing the character to perform an action related to an object, supporting visual learning. For example, the system can perform an action related to food, causing the character to act like eating the food. For example, the system can perform an action related to animals, causing the character to imitate the animal's movements. For example, the system can perform an action related to toys, causing the character to act like playing with the toy. In this way, visual learning can be supported by the character performing the action. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's behavior to perform the action related to the object.

[0048] The system can be attached to a specific character, and the character can act out a story related to an object, attracting a child's interest. For example, the system can be attached to a specific character, and the character can act out a story related to an object, attracting a child's interest. For example, the system can act out a story related to food, and the character can tell the story of an apple tree. For example, the system can act out a story related to animals, and the character can tell the adventures of a dog. For example, the system can act out a story related to toys, and the character can tell a story about a toy car race. In this way, the character can act out a story, attracting a child's interest. Some or all of the above-mentioned processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's lines and actions to act out a story.

[0049] The system can be attached to a specific character, allowing the character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. The system can, for example, be attached to a specific character, allowing the character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. For example, the system can allow a character to interact with other characters about food, providing information from different perspectives. For example, the system can allow a character to interact with other characters about animals, providing information from different perspectives. For example, the system can allow a character to interact with other characters about toys, providing information from different perspectives. This allows a character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically generate dialogue between the characters, providing information from multiple perspectives.

[0050] The system can be attached to a specific character, and the character can suggest activities related to an object to encourage children's participation. The system can be attached to a specific character, and the character can suggest activities related to an object to encourage children's participation. For example, the system can suggest an activity related to food, and the character can suggest, "Let's eat an apple together." For example, the system can suggest an activity related to animals, and the character can suggest, "Let's imitate the sound of a dog barking together." For example, the system can suggest an activity related to toys, and the character can suggest, "Let's play with a toy car together." In this way, the character can suggest an activity to encourage children's participation. Some or all of the above-mentioned processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, the AI ​​can automatically generate activities suggested by the character to encourage children's participation.

[0051] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0052] The camera unit can detect the temperature of an object and provide appropriate information based on the temperature. For example, the camera unit can detect the temperature of food and provide information such as, "This is hot soup. Eat it before it gets cold." The camera unit can also detect the body temperature of an animal and provide information such as, "This dog is healthy. His body temperature is normal." The camera unit can also detect the temperature of a toy and provide information such as, "This toy was left outside and is cold. Warm it up before bringing it inside." By providing appropriate information based on the temperature of the object, the user can learn safer and more appropriate usage methods. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or without AI. For example, the camera unit can detect the temperature of an object using a temperature sensor, and AI can analyze the information and provide appropriate information.

[0053] The analysis unit can analyze the sound of an object and provide appropriate information based on the sound. For example, the analysis unit can analyze the sound of chewing food and provide information such as, "This is a crunchy apple." The analysis unit can also analyze the sound of an animal barking and provide information such as, "This dog is happy. It's wagging its tail." Furthermore, the analysis unit can analyze the sound of a toy in operation and provide information such as, "This toy car has a realistic engine sound." By providing appropriate information based on the sound of an object, more specific characteristics can be learned. Some or all of the above-described processing by the analysis unit may be performed using, for example, AI, or without AI. For example, the analysis unit can analyze the sound of an object using voice recognition technology, and AI can analyze the information and provide appropriate information.

[0054] The audio output unit can provide historical background and cultural information related to the object. For example, the audio output unit can provide historical background related to food, such as "This is an apple. In ancient Greece, it was considered a symbol of health." The audio output unit can also provide cultural information related to animals, such as "This is a dog. In Japan, the story of Hachiko, the loyal dog, is famous." The audio output unit can also provide historical background related to toys, such as "This is a toy car. The first toy car was made in the 19th century." This allows for deeper knowledge to be gained by providing historical background and cultural information related to the object. Some or all of the above-described processing in the audio output unit can be performed using, or without, AI. For example, the audio output unit can reference a database to collect historical background and cultural information related to the object, and AI can analyze the information to provide appropriate information.

[0055] The camera unit can analyze the color of an object and provide appropriate information based on the color. For example, the camera unit can analyze the color of food and provide information such as, "This is a red apple. It is rich in vitamin C." The camera unit can also analyze the color of an animal and provide information such as, "This dog is brown and has fluffy fur." ​​The camera unit can also analyze the color of a toy and provide information such as, "This toy car is blue and runs fast." This allows for more specific characteristics to be learned by providing appropriate information based on the color of the object. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, the camera unit can analyze the color of an object using image analysis technology, and AI can analyze the information and provide appropriate information.

[0056] The analysis unit can analyze the movement of an object and provide appropriate information based on that movement. For example, the analysis unit can analyze the movement of food and provide information such as, "This is jelly. It wobbles." The analysis unit can also analyze the movement of an animal and provide information such as, "This dog is running around energetically." The analysis unit can also analyze the movement of a toy and provide information such as, "This toy car moves smoothly." By providing appropriate information based on the movement of an object, more specific characteristics can be learned. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, the analysis unit can analyze the movement of an object using a motion sensor or image analysis technology, and AI can analyze the information and provide appropriate information.

[0057] The system can be attached to a specific character, and the character can suggest activities related to the object, encouraging children's participation. For example, the system can suggest food-related activities, with the character suggesting, "Let's eat an apple together." The system can also suggest animal-related activities, with the character suggesting, "Let's imitate a dog's bark together." The system can also suggest toy-related activities, with the character suggesting, "Let's play with a toy car together." In this way, the character can suggest activities, encouraging children's participation. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, the AI ​​can automatically generate activities suggested by the character, encouraging children's participation.

[0058] The processing flow of the first embodiment will be briefly explained below.

[0059] Step 1: The camera unit takes a picture of the object. The camera unit can take a picture of the object using, for example, a camera built into the mascot's eye, a handheld camera, or a fixed camera. The camera unit can also automatically track the object and take a picture from the optimal angle. Step 2: The analysis unit analyzes the image captured by the camera unit and identifies the object. The analysis unit identifies the object using, for example, image recognition technology. Image recognition technology is realized using deep learning or computer vision technology. The analysis unit can identify the object by extracting the features of the object and comparing them with a database. Step 3: The audio output unit outputs the result of the determination made by the analysis unit as audio. The audio output unit outputs the result of the determination as audio, for example, using voice synthesis technology. If the object is food, the audio output unit can provide information such as "sweet" or "delicious," and if the object is an animal, it can play the animal's cry.

[0060] (Example 2) In an embodiment of the educational system of the present invention, an AI responds to the question "What's this?", which is of constant interest to children around three years old, through a mascot's eyes (camera). In this educational system, a camera built into the mascot's eyes first captures a photograph of an object, and then the AI ​​analyzes the image to determine its identity. For example, if the object is food, the AI ​​can provide information such as "sweet" or "delicious," while if it is an animal, it can play the animal's sound. This allows children to acquire knowledge through a conversational format and foster their imagination. Furthermore, this system allows fathers who are not good at physical contact to communicate with their children and also serves as a learning experience. Furthermore, the system can be attached to a favorite character, making conversation even more enjoyable. For example, a camera built into the mascot's eyes captures a photograph of an object, and the AI ​​analyzes the image to determine the object. If it is food, the AI ​​can provide information such as "This is food. It's sweet," and if it is an animal, the AI ​​can provide information such as "This is an animal. It sounds like this," and play the animal's sound. This allows children to acquire knowledge through a conversational format and enjoy learning. Furthermore, this system allows fathers who are not good at physical contact to communicate with their children and also serves as a learning opportunity. It can also be attached to a favorite character, making learning more personal. This allows the educational system to learn about objects that interest children and foster their imagination. It also allows fathers who are not good at physical contact to communicate with their children and also serves as a learning opportunity. It can also be attached to a favorite character, making learning more personal.

[0061] The intellectual training system according to the embodiment includes a camera unit, an analysis unit, and an audio output unit. The camera unit photographs an object. The camera unit can photograph the object using, for example, cameras built into the mascot's eyes. The camera unit can also photograph the object using, for example, a handheld camera or a fixed camera. The camera unit can automatically track the object and photograph it from the optimal angle. The analysis unit analyzes the image photographed by the camera unit and determines the object. The analysis unit determines the object using, for example, image recognition technology. Image recognition technology is realized using, for example, deep learning or computer vision technology. The analysis unit can determine the object by, for example, extracting features of the object and comparing them with a database. The audio output unit outputs the results of the determination by the analysis unit as audio. The audio output unit outputs the determination results as audio using, for example, voice synthesis technology. For example, if the object is food, the audio output unit can provide information such as "sweet" or "delicious." For example, if the object is an animal, the audio output unit can play the animal's cry. As a result, the intellectual education system according to the embodiment allows a child to learn about an object of interest by photographing the object, analyzing it, and outputting the result as audio. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, the camera unit can automatically adjust the optimal shooting angle using AI when photographing an object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, the analysis unit can input an image of the object to AI, which can determine the object. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without AI. For example, the audio output unit can input the determination result to AI, which can generate audio using speech synthesis technology. As a result, the intellectual education system according to the embodiment allows a child to learn about an object of interest by photographing the object using AI, analyzing it, and outputting the result as audio.

[0062] The camera unit can be built into the mascot's eyes. The camera unit can, for example, photograph an object using a camera built into the mascot's eyes. The camera unit can, for example, automatically track an object using a camera built into the mascot's eyes and photograph it from an optimal angle. By building the camera unit into the mascot's eyes, the object can be photographed in a way that is easy for children to understand. Some or all of the above-described processing in the camera unit can be performed using, for example, AI, or can be performed without using AI. For example, the camera unit can use a camera built into the mascot's eyes to automatically track an object and adjust the optimal photographing angle.

[0063] The analysis unit can determine the object using image recognition technology. The analysis unit can determine the object using, for example, image recognition technology. Image recognition technology is realized using, for example, deep learning or computer vision technology. The analysis unit can determine the object by, for example, extracting the features of the object and comparing them with a database. In this way, the use of image recognition technology improves the accuracy of determining the object. Some or all of the above-mentioned processing in the analysis unit can be performed using, for example, AI, or can be performed without using AI. For example, the analysis unit can input an image of the object into AI, which can then determine the object.

[0064] If the object is food, the audio output unit can provide information about the taste and texture. For example, if the object is food, the audio output unit can provide information such as "sweet" or "delicious." If the object is food, the audio output unit can provide information about the taste and texture. For example, it can provide information such as "This is an apple. It's sweet." This allows children to learn about food by providing information about food. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, the audio output unit can input the determination result to AI, which can generate speech using speech synthesis technology.

[0065] The audio output unit can play back the sound of an animal if the object is an animal. For example, the audio output unit can play back the sound of an animal if the object is an animal. For example, the audio output unit can provide information such as, "This is a dog. It barks 'woof woof.'" By playing back the animal's sound, children can learn about animals. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, the audio output unit can input the determination result to AI, which can then generate audio using speech synthesis technology.

[0066] The system can be attached to a specific character. The system can be attached to, for example, a specific character. The system can be attached to, for example, a favorite character. For example, it can be attached to an anime character or an animal character. By attaching the system to a favorite character, children can become more familiar with it and their motivation to learn can be increased. Some or all of the above-mentioned processing in the system may be performed, for example, using AI or may be performed without using AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's movements and facial expressions.

[0067] The camera unit can analyze the child's emotions and adjust the timing of the camera's capture based on the analyzed child's emotions. For example, the camera unit can analyze the child's emotions and adjust the timing of the camera's capture based on the analyzed child's emotions. For example, if the child is excited, the camera unit can immediately start capturing images to quickly capture an object of interest. For example, if the child is calm, the camera unit can start capturing images with a slight delay to capture images while the child is concentrating on the object. For example, if the child is feeling anxious, the camera unit can pause capturing images and wait until the child relaxes. This allows the camera to adjust the timing of the capture based on the child's emotions, thereby capturing images of the object at a more appropriate time. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, when analyzing the child's emotions, the camera unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and adjust the timing of the capture.

[0068] The camera unit can track the movement of an object and capture it from an appropriate angle. The camera unit can, for example, track the movement of an object and capture it from an appropriate angle. For example, when an object is moving, the camera can automatically track the movement and always capture it from the optimal angle. For example, when an object is rotating, the camera can adjust the angle to match the rotation and capture the entire object. For example, when an object moves up and down, the camera can capture the entire object while moving up and down. In this way, by tracking the movement of the object, it is possible to always capture it from the optimal angle. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when tracking the movement of an object, the camera unit can use AI to detect the movement using a motion sensor or image analysis technology and adjust the optimal shooting angle.

[0069] The camera unit can automatically adjust to capture high-quality images even under different lighting conditions. The camera unit can automatically adjust to capture high-quality images even under different lighting conditions, for example. The camera unit can automatically adjust the exposure in bright places to reduce excessive brightness. The camera unit can automatically increase the sensitivity in dark places to capture bright images, for example. The camera unit can adjust the exposure in real time in places where the light changes drastically to always maintain optimal brightness. This makes it possible to capture high-quality images even under different lighting conditions. Some or all of the above-mentioned processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when capturing images under different lighting conditions, the camera unit can use AI to detect the intensity and direction of the light and automatically adjust the exposure and sensitivity.

[0070] The camera unit can analyze the child's emotions and determine the priority of objects to be photographed based on the analyzed child's emotions. For example, the camera unit can analyze the child's emotions and determine the priority of objects to be photographed based on the analyzed child's emotions. For example, if the child is excited, the camera unit can prioritize photographing the most interesting object. For example, if the child is relaxed, the camera unit can prioritize photographing the surrounding scenery and background. For example, if the child is feeling anxious, the camera unit can prioritize photographing objects that give the child a sense of security. In this way, by determining the priority of objects to be photographed according to the child's emotions, it is possible to photograph more interesting objects. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the camera unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and determine the priority of objects to be photographed.

[0071] The camera unit can automatically zoom in and out depending on the size or shape of the object. For example, the camera unit can automatically zoom in and out depending on the size and shape of the object. For example, the camera unit can automatically zoom in when photographing a small object to capture details. For example, the camera unit can automatically zoom out when photographing a large object to capture the entire object. For example, the camera unit can adjust the zoom when the shape of the object changes to maintain an optimal frame. This allows the optimal frame to be maintained by adjusting the zoom depending on the size and shape of the object. Some or all of the above-mentioned processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, when the camera unit detects the size and shape of the object, AI can automatically adjust the zoom in and out using image analysis technology.

[0072] The camera unit can simultaneously photograph multiple objects and analyze each image individually. The camera unit can, for example, simultaneously photograph multiple objects and analyze each image individually. The camera unit can, for example, simultaneously photograph multiple foods and analyze information about each food individually. The camera unit can, for example, simultaneously photograph multiple animals and play back the sounds of each animal individually. The camera unit can, for example, simultaneously photograph multiple toys and analyze the characteristics of each toy individually. This allows for efficient provision of information by simultaneously photographing multiple objects and analyzing them individually. Some or all of the above-described processing in the camera unit may be performed, for example, using AI, or may be performed without using AI. For example, when the camera unit simultaneously photographs multiple objects, AI can analyze each object individually using image analysis technology.

[0073] The analysis unit can analyze the child's emotions and adjust the way the analysis results are presented based on the analyzed child's emotions. For example, the analysis unit can analyze the child's emotions and adjust the way the analysis results are presented based on the analyzed child's emotions. For example, if the child is excited, the analysis unit can present the analysis results in a bright and cheerful tone. For example, if the child is relaxed, the analysis unit can present the analysis results in a calm tone. For example, if the child is anxious, the analysis unit can present the analysis results in a reassuring tone. This allows more appropriate information to be provided by adjusting the way the analysis results are presented according to the child's emotions. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the analysis unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and adjust the way the analysis results are presented.

[0074] The analysis unit can determine detailed attributes of an object and provide more specific information. For example, the analysis unit can determine detailed attributes (such as color, shape, and material) of an object and provide more specific information. For example, the analysis unit can determine the color, shape, and material of food and provide information such as, "This is a red apple. It's sweet and delicious." For example, the analysis unit can determine the color, shape, and material of an animal and provide information such as, "This is a brown dog. It has fluffy fur." ​​For example, the analysis unit can determine the color, shape, and material of a toy and provide information such as, "This is a blue toy car. It's made of plastic." In this way, more specific information can be provided by determining the detailed attributes of the object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, when determining the detailed attributes of an object, the analysis unit can use AI image analysis technology to determine the color, shape, and material.

[0075] The analysis unit can also analyze the history and background information of the object to provide additional educational information. For example, the analysis unit can analyze the history and background information of the object to provide additional educational information. For example, the analysis unit can analyze the history and background information of a food and provide information such as, "This is an apple. It has long been considered healthy." For example, the analysis unit can analyze the history and background information of an animal and provide information such as, "This is a dog. It has a long history as a human friend." For example, the analysis unit can analyze the history and background information of a toy and provide information such as, "This is a toy car. It has long been popular with children." This enhances the educational value of the object by providing its history and background information. Some or all of the above-described processing in the analysis unit can be performed using, for example, AI, or without AI. For example, when analyzing the history and background information of an object, the analysis unit can use AI to reference a database and collect and provide related information.

[0076] The analysis unit can analyze the child's emotions and determine the priority of the analysis results based on the analyzed child's emotions. The analysis unit can, for example, analyze the child's emotions and determine the priority of the analysis results based on the analyzed child's emotions. For example, if the child is excited, the analysis unit can prioritize providing the most interesting information. For example, if the child is relaxed, the analysis unit can prioritize providing detailed information. For example, if the child is anxious, the analysis unit can prioritize providing information that gives a sense of security. In this way, by determining the priority of the analysis results according to the child's emotions, more interesting information can be provided. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the analysis unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and determine the priority of the analysis results.

[0077] The analysis unit can also analyze other information related to the object and provide comparative information. For example, the analysis unit can analyze other information related to the object (e.g., other objects in the same category) and provide comparative information. For example, the analysis unit can analyze related information about food and provide information such as, "This is an apple. It has more vitamin C than a banana." For example, the analysis unit can analyze related information about animals and provide information such as, "This is a dog. It is more friendly than a cat." For example, the analysis unit can analyze related information about toys and provide information such as, "This is a toy car. It runs faster than a toy airplane." This allows learning through comparison by providing related information about the object. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, when analyzing related information about the object, the analysis unit can use AI to refer to a database and collect and provide related information.

[0078] The analysis unit can also provide information about the use and safety of the object. For example, the analysis unit can analyze the use and safety of food and provide information such as, "This is an apple. It is safe to eat if peeled." For example, the analysis unit can analyze the use and safety of animals and provide information such as, "This is a dog. It is safe to handle gently." For example, the analysis unit can analyze the use and safety of toys and provide information such as, "This is a toy car. It contains small parts, so care should be taken." This allows for safer use by providing information about the use and safety of the object. Some or all of the above-described processing by the analysis unit may be performed using, or without, AI. For example, when analyzing information about the use and safety of an object, AI can refer to a database to collect and provide related information.

[0079] The audio output unit can analyze the child's emotions and adjust the tone and speed of the audio based on the analyzed child's emotions. The audio output unit can, for example, analyze the child's emotions and adjust the tone and speed of the audio based on the analyzed child's emotions. For example, if the child is excited, the audio output unit can output audio in a bright and cheerful tone. For example, if the child is relaxed, the audio output unit can output audio in a calm tone. For example, if the child is anxious, the audio output unit can output audio in a reassuring tone. This enables more appropriate audio output by adjusting the tone and speed of the audio according to the child's emotions. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the audio output unit can use AI to estimate the emotion using facial expression recognition or voice analysis technology and adjust the tone and speed of the audio.

[0080] The audio output unit can also play music and sound effects related to the object, providing a richer experience. The audio output unit can also play music and sound effects related to the object, providing a richer experience. For example, the audio output unit can play music related to food and provide information such as, "This is an apple. Sweet music is playing." The audio output unit can play sound effects related to animals and provide information such as, "This is a dog. It barks." The audio output unit can play music related to toys and provide information such as, "This is a toy car. You can hear the engine sound." This allows for a richer experience by playing music and sound effects. Some or all of the above-described processing in the audio output unit may be performed using, or without, AI. For example, when the audio output unit plays music and sound effects related to the object, AI can generate the music and sound effects using voice synthesis technology.

[0081] The audio output unit can provide information in multiple languages, providing language learning opportunities. For example, the audio output unit can provide information in multiple languages, providing language learning opportunities. For example, the audio output unit can provide information about food in multiple languages, such as "This is an apple. In English, it's called Apple." For example, the audio output unit can provide information about animals in multiple languages, such as "This is a dog. In English, it's called Dog." For example, the audio output unit can provide information about toys in multiple languages, such as "This is a toy car. In English, it's called Car." This provides language learning opportunities by providing information in multiple languages. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without AI. For example, when the audio output unit provides information in multiple languages, AI can generate speech in each language using speech synthesis technology.

[0082] The audio output unit can analyze the child's emotions and customize the audio content based on the analyzed child's emotions. The audio output unit can, for example, analyze the child's emotions and customize the audio content based on the analyzed child's emotions. For example, if the child is excited, the audio output unit can output audio with a fun anecdote. For example, if the child is relaxed, the audio output unit can output audio with a detailed explanation. For example, if the child is anxious, the audio output unit can output audio with content that gives a sense of security. By customizing the audio content according to the child's emotions, more appropriate information can be provided. Some or all of the above-described processing in the audio output unit can be performed using, for example, AI, or can be performed without using AI. For example, when analyzing the child's emotions, the audio output unit can customize the audio content by using AI to estimate the emotions using facial expression recognition or voice analysis technology.

[0083] The audio output unit can play stories or episodes related to the object to attract interest. For example, the audio output unit can play stories or episodes related to the object to attract interest. For example, the audio output unit can play a story related to food and provide information such as, "This is an apple. Once upon a time, there was an apple tree." For example, the audio output unit can play an episode related to animals and provide information such as, "This is a dog. One day, the dog went on an adventure." For example, the audio output unit can play a story related to toys and provide information such as, "This is a toy car. One day, the car participated in a race." This allows the playback of stories or episodes to attract children's interest. Some or all of the above-described processing in the audio output unit may be performed using, or without, AI. For example, when the audio output unit plays stories or episodes related to the object, AI can generate the stories or episodes using voice synthesis technology.

[0084] The audio output unit can provide quizzes and games related to the object to promote learning. For example, the audio output unit can provide quizzes and games related to the object to promote learning. For example, the audio output unit can provide a quiz related to food and ask, "This is an apple. What color is the apple?". For example, the audio output unit can provide a game related to animals and suggest, "This is a dog. Try imitating the sound of a dog barking." For example, the audio output unit can provide a quiz related to toys and ask, "This is a toy car. What color is the car?" This makes it possible to promote learning in a fun way by providing quizzes and games. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, when providing a quiz or game related to the object, the audio output unit can use AI to generate the content of the quiz or game and output it as audio.

[0085] The system can be attached to a specific character, analyze a child's emotions, and adjust the character's movements and facial expressions based on the analyzed child's emotions. The system can be attached to a specific character, analyze a child's emotions, and adjust the character's movements and facial expressions based on the analyzed child's emotions. For example, if a child is excited, the system can make the character move energetically and smile. For example, if a child is relaxed, the system can make the character move slowly and show a calm expression. For example, if a child is anxious, the system can make the character move gently and show a reassuring expression. This allows the character's movements and facial expressions to be adjusted according to the child's emotions, providing a more familiar experience. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's movements and facial expressions.

[0086] The system can be attached to a specific character, causing the character to perform an action related to an object, supporting visual learning. For example, the system can be attached to a specific character, causing the character to perform an action related to an object, supporting visual learning. For example, the system can perform an action related to food, causing the character to act like eating the food. For example, the system can perform an action related to animals, causing the character to imitate the animal's movements. For example, the system can perform an action related to toys, causing the character to act like playing with the toy. In this way, visual learning can be supported by the character performing the action. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's behavior to perform the action related to the object.

[0087] The system can be attached to a specific character, and the character can act out a story related to an object, attracting a child's interest. For example, the system can be attached to a specific character, and the character can act out a story related to an object, attracting a child's interest. For example, the system can act out a story related to food, and the character can tell the story of an apple tree. For example, the system can act out a story related to animals, and the character can tell the adventures of a dog. For example, the system can act out a story related to toys, and the character can tell a story about a toy car race. In this way, the character can act out a story, attracting a child's interest. Some or all of the above-mentioned processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's lines and actions to act out a story.

[0088] The system can be attached to a specific character, analyze a child's emotions, and customize the character's lines and actions based on the analyzed child's emotions. For example, the system can be attached to a specific character, analyze a child's emotions, and customize the character's lines and actions based on the analyzed child's emotions. For example, if a child is excited, the system can have the character speak energetic lines and move actively. For example, if a child is relaxed, the system can have the character speak calm lines and move slowly. For example, if a child is anxious, the system can have the character speak reassuring lines and move gently. This allows the character's lines and actions to be customized according to the child's emotions, providing a more familiar experience. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, the AI ​​can automatically adjust the character's lines and actions to customize them based on the child's emotions.

[0089] The system can be attached to a specific character, allowing the character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. The system can, for example, be attached to a specific character, allowing the character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. For example, the system can allow a character to interact with other characters about food, providing information from different perspectives. For example, the system can allow a character to interact with other characters about animals, providing information from different perspectives. For example, the system can allow a character to interact with other characters about toys, providing information from different perspectives. This allows a character to collaborate with other characters and engage in dialogue to provide information from multiple perspectives. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically generate dialogue between the characters, providing information from multiple perspectives.

[0090] The system can be attached to a specific character, and the character can suggest activities related to an object to encourage children's participation. The system can be attached to a specific character, and the character can suggest activities related to an object to encourage children's participation. For example, the system can suggest an activity related to food, and the character can suggest, "Let's eat an apple together." For example, the system can suggest an activity related to animals, and the character can suggest, "Let's imitate the sound of a dog barking together." For example, the system can suggest an activity related to toys, and the character can suggest, "Let's play with a toy car together." In this way, the character can suggest an activity to encourage children's participation. Some or all of the above-mentioned processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, the AI ​​can automatically generate activities suggested by the character to encourage children's participation. === Hard Collateral 1-1 === Each of the multiple elements including the camera unit, analysis unit, and audio output unit described above is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the camera unit can capture an image of an object using the camera 42 of the smart device 14. The analysis unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and analyzes the image of the object to make a determination. The audio output unit can output the determination result as audio using, for example, the speaker 40B of the smart device 14. === Hard Collateral 1-2 === Each of the multiple elements including the camera unit, analysis unit, and audio output unit described above is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the camera unit can capture an image of an object using the camera 42 of the smart glasses 214. The analysis unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and analyzes the image of the object to make a determination. The audio output unit can output the determination result as audio using, for example, the speaker 240 of the smart glasses 214. === Hard Collateral 1-3 === Each of the multiple elements including the camera unit, analysis unit, and audio output unit described above is realized, for example, by at least one of the headset type terminal 314 and the data processing device 12. For example, the camera unit can take an image of an object using the camera 42 of the headset type terminal 314. The analysis unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and analyzes the image of the object to make a determination. The audio output unit can output the determination result as audio using, for example, the speaker 240 of the headset type terminal 314. === Hard Collateral 1-4 === Each of the multiple elements including the camera unit, analysis unit, and audio output unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the camera unit can take an image of an object using the camera 42 of the robot 414. The analysis unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and analyzes the image of the object to make a determination. The audio output unit can output the determination result as audio using the speaker 240 of the robot 414, for example.

[0091] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0092] The camera unit can detect the temperature of an object and provide appropriate information based on the temperature. For example, the camera unit can detect the temperature of food and provide information such as, "This is hot soup. Eat it before it gets cold." The camera unit can also detect the body temperature of an animal and provide information such as, "This dog is healthy. His body temperature is normal." The camera unit can also detect the temperature of a toy and provide information such as, "This toy was left outside and is cold. Warm it up before bringing it inside." By providing appropriate information based on the temperature of the object, the user can learn safer and more appropriate usage methods. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or without AI. For example, the camera unit can detect the temperature of an object using a temperature sensor, and AI can analyze the information and provide appropriate information.

[0093] The analysis unit can analyze the sound of an object and provide appropriate information based on the sound. For example, the analysis unit can analyze the sound of chewing food and provide information such as, "This is a crunchy apple." The analysis unit can also analyze the sound of an animal barking and provide information such as, "This dog is happy. It's wagging its tail." Furthermore, the analysis unit can analyze the sound of a toy in operation and provide information such as, "This toy car has a realistic engine sound." By providing appropriate information based on the sound of an object, more specific characteristics can be learned. Some or all of the above-described processing by the analysis unit may be performed using, for example, AI, or without AI. For example, the analysis unit can analyze the sound of an object using voice recognition technology, and AI can analyze the information and provide appropriate information.

[0094] The audio output unit can provide historical background and cultural information related to the object. For example, the audio output unit can provide historical background related to food, such as "This is an apple. In ancient Greece, it was considered a symbol of health." The audio output unit can also provide cultural information related to animals, such as "This is a dog. In Japan, the story of Hachiko, the loyal dog, is famous." The audio output unit can also provide historical background related to toys, such as "This is a toy car. The first toy car was made in the 19th century." This allows for deeper knowledge to be gained by providing historical background and cultural information related to the object. Some or all of the above-described processing in the audio output unit can be performed using, or without, AI. For example, the audio output unit can reference a database to collect historical background and cultural information related to the object, and AI can analyze the information to provide appropriate information.

[0095] The camera unit can analyze the color of an object and provide appropriate information based on the color. For example, the camera unit can analyze the color of food and provide information such as, "This is a red apple. It is rich in vitamin C." The camera unit can also analyze the color of an animal and provide information such as, "This dog is brown and has fluffy fur." ​​The camera unit can also analyze the color of a toy and provide information such as, "This toy car is blue and runs fast." This allows for more specific characteristics to be learned by providing appropriate information based on the color of the object. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without AI. For example, the camera unit can analyze the color of an object using image analysis technology, and AI can analyze the information and provide appropriate information.

[0096] The analysis unit can analyze the movement of an object and provide appropriate information based on that movement. For example, the analysis unit can analyze the movement of food and provide information such as, "This is jelly. It wobbles." The analysis unit can also analyze the movement of an animal and provide information such as, "This dog is running around energetically." The analysis unit can also analyze the movement of a toy and provide information such as, "This toy car moves smoothly." By providing appropriate information based on the movement of an object, more specific characteristics can be learned. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without AI. For example, the analysis unit can analyze the movement of an object using a motion sensor or image analysis technology, and AI can analyze the information and provide appropriate information.

[0097] The camera unit can analyze the child's emotions and adjust the camera focus based on the analyzed child's emotions. For example, if the child is excited, the camera unit can adjust the focus quickly to capture a moving object. Alternatively, if the child is relaxed, the camera unit can adjust the focus slowly to capture a still object. Furthermore, if the child is feeling anxious, the camera unit can stabilize the focus and capture an object that gives the child a sense of security. This allows the object to be photographed at a more appropriate time by adjusting the camera focus according to the child's emotions. Some or all of the above-described processing in the camera unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the camera unit can use AI to estimate the emotion using facial expression recognition or voice analysis technology and adjust the focus.

[0098] The analysis unit can analyze the child's emotions and adjust the level of detail of the analysis results based on the analyzed child's emotions. For example, if the child is excited, the analysis unit can provide concise and easy-to-understand information. Furthermore, if the child is relaxed, the analysis unit can provide detailed and in-depth information. Furthermore, if the child is feeling anxious, the analysis unit can provide information that gives a sense of security. In this way, by adjusting the level of detail of the analysis results according to the child's emotions, more appropriate information can be provided. Some or all of the above-described processing in the analysis unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the analysis unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and adjust the level of detail of the analysis results.

[0099] The audio output unit can analyze the child's emotions and adjust the content of the audio based on the analyzed child's emotions. For example, if the child is excited, the audio output unit can provide cheerful and upbeat content. Furthermore, if the child is relaxed, the audio output unit can provide calm and soothing content. Furthermore, if the child is feeling anxious, the audio output unit can provide content that gives a sense of security. In this way, by adjusting the content of the audio according to the child's emotions, more appropriate information can be provided. Some or all of the above-described processing in the audio output unit may be performed using, for example, AI, or may be performed without using AI. For example, when analyzing the child's emotions, the audio output unit can use AI to estimate the emotions using facial expression recognition or voice analysis technology and adjust the content of the audio.

[0100] The system can be attached to a specific character, analyze a child's emotions, and adjust the character's movements and facial expressions based on the analyzed child's emotions. For example, if a child is excited, the system can make the character move energetically and smile. If a child is relaxed, the system can make the character move slowly and show a calm expression. If a child is anxious, the system can make the character move gently and show a reassuring expression. This allows the character's movements and facial expressions to be adjusted according to the child's emotions, providing a more familiar experience. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, AI can automatically adjust the character's movements and facial expressions.

[0101] The system can be attached to a specific character, and the character can suggest activities related to the object, encouraging children's participation. For example, the system can suggest food-related activities, with the character suggesting, "Let's eat an apple together." The system can also suggest animal-related activities, with the character suggesting, "Let's imitate a dog's bark together." The system can also suggest toy-related activities, with the character suggesting, "Let's play with a toy car together." In this way, the character can suggest activities, encouraging children's participation. Some or all of the above-described processing in the system may be performed using, for example, AI, or may be performed without AI. For example, when the system is attached to a specific character, the AI ​​can automatically generate activities suggested by the character, encouraging children's participation.

[0102] The processing flow of the second embodiment will be briefly explained below.

[0103] Step 1: The camera unit takes a picture of the object. The camera unit can take a picture of the object using, for example, a camera built into the mascot's eye, a handheld camera, or a fixed camera. The camera unit can also automatically track the object and take a picture from the optimal angle. Step 2: The analysis unit analyzes the image captured by the camera unit and identifies the object. The analysis unit identifies the object using, for example, image recognition technology. Image recognition technology is realized using deep learning or computer vision technology. The analysis unit can identify the object by extracting the features of the object and comparing them with a database. Step 3: The audio output unit outputs the result of the determination made by the analysis unit as audio. The audio output unit outputs the result of the determination as audio, for example, using voice synthesis technology. If the object is food, the audio output unit can provide information such as "sweet" or "delicious," and if the object is an animal, it can play the animal's cry.

[0104] 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.

[0105] 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 the generative AI include a neural network (NN) and a neural network (NN). 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 (e.g., still image data or video data). 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 one or more data formats of voice data, text data, image data, etc. 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 may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0106] 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.

[0107] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0108] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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).

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0122] 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.

[0123] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0124] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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).

[0130] 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.

[0131] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset 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.

[0132] 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.

[0133] 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.

[0134] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 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 identification processing unit 290 using these models.

[0135] 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.

[0136] 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.

[0137] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0138] 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.

[0139] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0140] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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).

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification 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 the same process as the identification processing unit 290 using these models.

[0152] 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.

[0153] 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.

[0154] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0155] 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.

[0156] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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).

[0161] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0162] 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."

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] [Explanation of symbols]

[0176] 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 camera unit that photographs an object; an analysis unit that analyzes the image captured by the camera unit and determines the object; an audio output unit that outputs the result determined by the analysis unit by audio; A system characterized by:

2. The camera unit Built into the mascot's eyes 2. The system of claim 1.

3. The analysis unit Identifying objects using image recognition technology 2. The system of claim 1.

4. The audio output unit If the object is food, provide information about its taste and texture 2. The system of claim 1.

5. The audio output unit If the object is an animal, play its sound.

2. The system of claim 1.

6. The system comprises: Can be attached to specific characters 2. The system of claim 1.

7. The camera unit Analyzes the child's emotions and adjusts the timing of the camera's capture based on the analyzed emotions.

2. The system of claim 1.

8. The camera unit Track the movement of your subject and capture it from the right angle 2. The system of claim 1.

Images