system

Abstract

We provide the system. [Solution] It includes an optical sensor for acquiring the user's visual information, and means for converting the visual information into digital data, A means for analyzing the aforementioned digital data and estimating user interests, A visual display means that generates and displays relevant information based on the user's interests in real time, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional devices have a problem that they do not provide sufficient information reflecting the user's daily interests and actions in real time and cannot effectively support the individual needs of the user. There is also a problem that there is a lack of means for the user to reconfirm matters or experiences that the user was interested in in the past or to complement memory.

Means for Solving the Problems

[0005] This invention provides a system equipped with an optical sensor and a visual display means that converts the user's visual information into digital data, analyzes that data to estimate the user's interests, and further analyzes the user's voice data using a speech recognition means to extract keywords. This makes it possible to generate relevant information based on the user's interests and display it in real time. In addition, by utilizing location information acquired using a position measurement means and understanding the environmental context to generate relevant information, more personalized information provision is achieved.

[0006] An "optical sensor" is a device that converts physical light information into electrical signals to acquire images and visual information.

[0007] "Digital data" refers to data in a format that can be processed and stored by a computer by converting analog information into binary numbers.

[0008] "User interests" refer to the subjects or matters that users are interested in in a particular situation or environment.

[0009] "Visual display means" refers to a device or module that visually presents acquired information to the user.

[0010] "Speech recognition means" refers to technology that acquires speech as input, analyzes its content, and converts it into text data.

[0011] A "keyword" refers to a word or phrase that is important for searching for or analyzing information within a specific context or theme.

[0012] "Location measurement means" refers to technology that detects the current location of a user or device and provides it in a usable format as relevant information.

[0013] "Environmental context" refers to background information and conditions related to the user's location and surrounding environment, and is a factor considered when presenting and analyzing information.

[0014] "Related information" refers to additional or supplementary information generated based on the user's interests and behavior. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying out the Invention

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

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

[0018] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units 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), and the like.

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

[0020] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

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

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0032] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

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

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention is implemented by a system incorporated into smart glasses used by users on a daily basis. The aim of this system is to provide users with highly relevant information by acquiring and analyzing their visual and auditory information in real time.

[0037] Specifically, the smart glasses, which serve as the terminal, are equipped with optical sensors that constantly capture the objects and scenery the user is looking at. The input from these optical sensors is converted into digital data, which then recognizes the user's visual interests. In addition, a voice recognition system is incorporated to capture sounds and conversations around the user and analyze their content to estimate the user's interests.

[0038] The server plays a central role in analyzing this digital data. Using image recognition algorithms, the server identifies objects from visual information and retrieves related information from the database. Simultaneously, the server extracts keywords from audio data and finds relevant news and background information.

[0039] In addition, smart glasses incorporate location-measuring capabilities, allowing them to determine the user's current location and provide location-specific information (such as the history of the travel destination or information about nearby facilities). Through these processes, users can receive information in real time using visual display devices and take action as needed.

[0040] For example, when a user visits a tourist attraction, the device instantly displays the historical background and key points of interest of that place. Similarly, when entering a restaurant, it can provide real-time recommendations and ratings of the menu. Finally, if a user is interested in specific information and wants to learn more, they can save it and review it later.

[0041] As a result, this invention provides users with useful information in their daily lives in just the right amount, leading to a more convenient and efficient experience.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The device uses optical sensors to capture objects and scenes within the user's field of view, converting the visual information into digital data. This data is temporarily stored within the device.

[0045] Step 2:

[0046] The device uses a voice recognition system to record ambient sounds in real time. The recorded audio is saved as digital data and undergoes basic pre-processing such as noise reduction.

[0047] Step 3:

[0048] The device uses location measurement methods to obtain the user's current location. This information is used as environmental context in subsequent information analysis.

[0049] Step 4:

[0050] The terminal compresses and encrypts pre-processed visual and audio data and transmits it to the server in real time. This transmission is carried out in a way that ensures security and privacy.

[0051] Step 5:

[0052] The server analyzes the received visual data using an image recognition algorithm to identify objects and locations. As a result of the analysis, relevant information is retrieved from the database.

[0053] Step 6:

[0054] The server converts the audio data into text and extracts important keywords and phrases. Based on this, information related to the audio context is collected.

[0055] Step 7:

[0056] The server analyzes user interests and behavioral history, including past data, to generate personalized information. This information is then filtered before being sent to the device.

[0057] Step 8:

[0058] The device displays the received relevant information overlaid on the user's field of view through a visual display mechanism. The user obtains this information in real time and, if necessary, checks the details or takes another action.

[0059] (Example 1)

[0060] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0061] In today's world, a vast amount of information is provided through various media, but most of it is not tailored to the user's current situation or interests. As a result, users spend a lot of time finding the information they need, and the usefulness of the available information is limited. In particular, the ability to efficiently acquire and visually display highly relevant information in real time is a challenge that existing technologies do not adequately address.

[0062] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0063] In this invention, the server includes means for converting and analyzing the user's visual information into digital data, means for extracting keywords from audio data, and means for understanding environmental information based on the user's location information and using it to generate relevant information. This makes it possible to acquire and present information tailored to the user's current interests and location in real time, and to streamline the acquisition of necessary information.

[0064] An "optical sensor" is a device that captures a user's visual information and converts it into digital data.

[0065] "Digital data" refers to data obtained by converting analog information into a format that can be processed electronically.

[0066] "Speech recognition means" refers to technology that collects speech, converts it into digital data, and analyzes it.

[0067] A "keyword" is a word or phrase that indicates an important concept or topic within audio or text.

[0068] "Location measurement means" refers to technologies used to determine a user's current location, and typically utilizes GPS or similar technologies.

[0069] "Environmental information" refers to information related to the user's location and surroundings, and includes location-dependent elements.

[0070] "Related information" refers to additional information generated based on the user's interests and location, and is useful to the user.

[0071] "Visual display means" refers to devices and technologies for presenting digital data to users visually in real time.

[0072] "Storage means" refers to technologies and devices that allow users to store information they need so that they can access it later.

[0073] This invention is implemented based on smart glasses, which are wearable devices used by users on a daily basis.

[0074] The smart glasses, which serve as the terminal, constantly capture the user's visual information using a visual sensor. The visual sensor has the function of digitally converting scenery and objects into image data. The terminal also incorporates a voice recognition system that captures ambient sounds in real time and converts them into digital audio data. Furthermore, the terminal is equipped with a location measurement system that determines the user's current location using GPS or similar means.

[0075] Data is transmitted to a server via the internet. The server applies image recognition algorithms to the received visual data to identify specific objects and landscapes. Generative AI models are used in this process to accurately estimate the user's interests. For audio data, the server also extracts keywords and searches for related information. The related information obtained in this way is displayed in real time on the user's visual display device.

[0076] For example, when a user visits a tourist destination, smart glasses can display the location's history and tourist information. Furthermore, when a user enters a restaurant, they can check recommended dishes on the menu and restaurant ratings in real time. Information can also be saved based on the user's interests for later reference.

[0077] The following are specific examples of prompt statements used in generative AI models:

[0078] "Research and display the history of a specific building within the view the user is seeing."

[0079] "Provide information related to popular music based on the surrounding sounds."

[0080] "Show me reviews of popular restaurants near my current location."

[0081] This allows users to instantly receive appropriate information tailored to their situation, making their daily lives more convenient and efficient.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The device uses optical sensors to capture the user's visual information. The input is the objects and scenery the user is looking at. This information is converted into digital image data. Specifically, the camera continuously takes images according to the refresh rate, and a processor inside the glasses converts them into a format that is easy to handle as digital data.

[0085] Step 2:

[0086] The device uses a microphone to acquire ambient sound. This audio data is then converted into a digital format. The input is ambient noise or conversational speech, and the output is an audio file. Specifically, a high-sensitivity microphone constantly detects sound, and a processor operates to convert it into a digital audio format.

[0087] Step 3:

[0088] The device determines the user's current location using a location measurement method. The input is location information such as GPS data, and the output is the user's coordinates. Specifically, the GPS module receives signals from satellites and updates the coordinates in real time.

[0089] Step 4:

[0090] The device transmits visual data, audio data, and location information to the server. The input is the various digital data generated in steps 1-3, and the output is the data transmitted to the server. In terms of operation, the data is basically uploaded to the cloud server via Wi-Fi or a mobile network.

[0091] Step 5:

[0092] The server analyzes the received visual data using an image recognition algorithm. The input is visual data, and the output is the recognized objects or scenes. Specifically, a machine learning model analyzes the image data, extracts features from it, and performs identification.

[0093] Step 6:

[0094] The server analyzes audio data and extracts keywords. The input is audio data, and the output is the extracted keywords. Specifically, a natural language processing algorithm converts the audio to text and identifies important words and phrases.

[0095] Step 7:

[0096] The server searches for and generates user-related information from analyzed visual, audio, and location data. The input consists of generated keywords and coordinate information, and the output provides the user with relevant information. Specifically, the search algorithm retrieves information from databases and the internet.

[0097] Step 8:

[0098] The device visually displays relevant information received from the server to the user. The input is relevant information from the server, and the output is the content displayed on the smart glasses' screen. Specifically, the display inside the glasses shows the information in real time, which the user can view.

[0099] Step 9:

[0100] Users take action based on the information presented. The input is the visually displayed information, and the output is the user's next action. A concrete example is saving information that the user finds interesting using the buttons on smart glasses.

[0101] (Application Example 1)

[0102] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0103] In modern urban environments, individuals have the potential to access vast amounts of information, but it is difficult to acquire and utilize it immediately. Furthermore, it is not easy for tourists or residents to efficiently obtain relevant information in real time at specific locations. Additionally, the lack of means to obtain additional information using audio and visual interfaces contributes to the inefficiency of information gathering.

[0104] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0105] In this invention, the server includes a sensor for acquiring visual information and means for converting it into digital data, means for analyzing the digital data and estimating the user's interests, and display means for generating relevant information based on the user's interests and displaying it in real time. This makes it possible for users in urban environments to instantly acquire information based on a specific location and obtain additional information through a visual and audio interface.

[0106] "Visual information" refers to information about objects or scenes that attract the user's visual interest or attention.

[0107] A "sensor" is a device that uses optical technology to physically acquire visual information.

[0108] "Digital data" refers to visual and auditory information converted into an analyzable data format.

[0109] "Analysis" is the process of using digital data to estimate users' interests and intentions.

[0110] A "user" is a person who uses the system to obtain visual and auditory information.

[0111] "Related information" refers to additional or useful data that is relevant to the user's interests or the current context.

[0112] "Display means" refers to an interface device for providing relevant information in real time, either visually or audibly.

[0113] A "voice command" is a voice-based instruction used by a user to interact with a system.

[0114] "Location information" refers to data that indicates the user's current geographical location.

[0115] "Context related to environmental information" refers to background information that corresponds to the user's location and surrounding conditions.

[0116] The term "urban environment" refers to the complex social and physical space in which buildings, facilities, and natural landscapes exist.

[0117] To implement this invention, the terminal worn by the user is equipped with an optical sensor for acquiring visual information and a microphone for acquiring audio information. The terminal has an internal processor for converting the acquired visual and audio information into digital data. All of this digital data is transmitted to a server, which is responsible for analyzing the received data.

[0118] On the server, visual information is processed using image recognition algorithms such as TENSORFLOW® and OpenCV to recognize objects. Recognized objects are associated with a database, and appropriate related information is retrieved. Similarly, for audio information, important keywords are extracted from the recognized speech using the Google® Speech API, and related information is retrieved.

[0119] Furthermore, the device is equipped with a standard GPS module, which allows the user's location information to be obtained. This location information is sent to a server and used to generate relevant information based on a specific geographical context. This enables the presentation of information tailored to urban environments.

[0120] The terminal displays relevant information requested in real time within the user's field of view, based on instructions from the server. Using voice commands, users can easily obtain additional information or save specific data.

[0121] For example, if a user is walking through a city and stands in front of a museum, the device can instantly display the building's history and information about current exhibitions. Similarly, when standing in front of a restaurant, it can display the restaurant's menu and ratings, and even allow users to make reservations using voice commands.

[0122] An example of a prompt message might be, "Please tell me how to provide specific information so that when a user visits a museum, its history and exhibition information can be displayed in real time."

[0123] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0124] Step 1:

[0125] The terminal uses optical sensors to acquire the user's visual information. The input is the object or scene the user is viewing, and the output is the visual information converted into digital data. The terminal then transfers this digital data to the server.

[0126] Step 2:

[0127] The server begins analyzing the received visual digital data as input. It performs image recognition processing using TensorFlow or similar tools to recognize objects. The output includes the IDs and features of the recognized objects, which are used for matching against the database.

[0128] Step 3:

[0129] The device uses a microphone to acquire audio information from the user's surroundings. The input is the waveform of nearby sounds, and the output is generated as audio data converted into digital data. The device sends this audio data to the server.

[0130] Step 4:

[0131] The server analyzes the received audio digital data as input. It performs speech recognition using tools such as the Google Speech API to extract important keywords. It generates a list of the extracted keywords as output and uses this list to find related information in the database.

[0132] Step 5:

[0133] The device uses a GPS module to obtain its current location information. It takes a GPS signal as input and outputs longitude and latitude data, which it then sends to the server.

[0134] Step 6:

[0135] The server takes the user's location information as input and generates data to understand the environment context. Based on this, it selects additional location-specific information from the database. The output is a list of location-related information.

[0136] Step 7:

[0137] The server integrates relevant information obtained from image recognition, speech recognition, and location data to create an optimal set of information for the user.

[0138] Step 8:

[0139] The terminal displays relevant information received from the server in the user's field of view in real time. The user receives the visual information and can inquire about further details using voice commands.

[0140] Step 9:

[0141] When a user requests specific information using voice commands, the terminal forwards it to the server, which performs further database searches. The server then sends additional relevant information back to the terminal and displays it to the user.

[0142] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0143] This invention provides users with highly personalized information by incorporating an emotion engine into a smart glasses system that acquires and analyzes the user's visual, audio, and location information in real time. The system aims to effectively support users in their daily lives by presenting appropriate information according to their behavior, interests, and emotional state.

[0144] Specifically, the device is equipped with optical sensors that constantly capture the objects and scenery the user is looking at, converting the visual information into digital data. This data is used for analysis to estimate the user's interests. Additionally, a voice recognition system is incorporated to collect and analyze sounds from the user's surroundings. This allows for a more specific identification of the user's interests.

[0145] In addition, the device uses location measurement methods to determine the user's current location. This makes it possible to provide information relevant to the user's location, taking into account the environmental context of that location.

[0146] The emotion engine uses this sensor data to estimate the user's emotions. For example, it analyzes the user's voice tone and facial expressions to determine their current emotional state. The server processes the data sent by the user and, based on the emotion engine's estimation results, generates relevant information considering what information the user needs.

[0147] This relevant information is transmitted to the device in real time and presented to the user via visual display. Because the information most relevant to the user's emotional state and interests is displayed directly in their field of vision, they can intuitively access the information.

[0148] For example, if a user is moved while visiting a tourist destination, the emotion engine recognizes that emotion and provides more detailed historical information and information about related works of art. Furthermore, if the user is feeling stressed, it can offer relaxation advice and guide them to quiet places.

[0149] Thus, the present invention provides a new means of improving the user experience by dynamically providing information optimized for the user through the use of sentiment analysis.

[0150] The following describes the processing flow.

[0151] Step 1:

[0152] The device uses optical sensors to capture the user's field of view in real time and converts the visual information into digital data. This records the objects and locations that are visible.

[0153] Step 2:

[0154] The device uses voice recognition to acquire ambient sounds. The audio is converted into digital data, and basic preprocessing is performed to remove background noise.

[0155] Step 3:

[0156] The device uses location measurement means to determine the user's current location. The acquired location information is used to derive contextual information related to the environment.

[0157] Step 4:

[0158] The device utilizes an emotion engine to estimate the user's emotional state from visual and audio data. Visual data is used to analyze facial expressions, and audio data is used to evaluate tone and speed.

[0159] Step 5:

[0160] The terminal compresses and encrypts the collected data before sending it to the server. A secure protocol is used for this transmission.

[0161] Step 6:

[0162] The server analyzes the received visual, audio, location, and emotion data. In particular, it uses the emotion engine's estimated emotional state as a reference to extract information that takes into account the user's interests and environmental context.

[0163] Step 7:

[0164] The server generates relevant information based on the analysis results. This information is optimized for the user's interests and emotional state, and includes appropriate action items and suggestions where necessary.

[0165] Step 8:

[0166] The terminal receives relevant information transmitted from the server and presents it to the user in real time through visual display means. Based on this information, the user can intuitively decide on their next action.

[0167] (Example 2)

[0168] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0169] Traditional information delivery systems struggled to accurately grasp users' interests and emotions, resulting in the problem that the information provided did not always truly match user needs. Furthermore, real-time information generation and delivery were inefficient, preventing the presentation of information instantly tailored to the user's needs. This limited the user experience and restricted practicality.

[0170] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0171] In this invention, the server includes means for converting the user's visual information into digital data, means for analyzing audio data and extracting keywords, and means for generating relevant information based on the user's location information and emotions. This makes it possible to provide information tailored to the user's interests and emotional state in real time.

[0172] An "optical detection device" is a device that captures the scene or object that the user is looking at and converts that visual information into digital data.

[0173] An "acoustic recognition device" is a device that acquires ambient sound and converts that sound into digital data that can be analyzed.

[0174] A "spatial position measurement device" is a device used to acquire the user's current location and to understand the context of the environment based on that location information.

[0175] An "emotion determination method" is a means of estimating a user's emotional state by analyzing the user's voice tone and facial expressions obtained from visual information based on acquired sensor data.

[0176] A "visual display device" is a device that visually presents relevant information generated from a server to the user, enabling them to intuitively receive the information.

[0177] This invention is a system that enables the provision of more personalized information to users. This system is based on a smart device that acquires and analyzes the user's visual information, audio information, and location information in real time. The terminal is equipped with an optical detection device, an acoustic recognition device, and a spatial position measurement device.

[0178] The device uses an optical detection device to capture the user's visual environment, converting the objects and scenery the user is seeing into digital data. An acoustic recognition device acquires ambient sounds and converts them into analyzable digital data, allowing for a deeper exploration of the user's interest in the content. Furthermore, a spatial positioning device acquires the user's current location and uses that location information to understand the relevant environmental context.

[0179] The server collects this sensor data and utilizes a generative AI model to estimate the user's emotions using emotion determination tools. Based on the estimated emotions and the user's interests, the server generates appropriate relevant information. This relevant information is presented to the user in real time via a visual display device.

[0180] For example, if a user shows an expression of enjoyment while viewing an exhibit in a museum, the server can capture that emotion and generate detailed information about the related exhibit and the story behind it, which can then be presented to the user on their device. Furthermore, if a user is experiencing stress, the device can provide relaxing music or suggest quiet locations.

[0181] A concrete example of a prompt message would be, "The user's current emotion is joy. Generate relevant tourist information." This enables the system to instantly provide information that is tailored to the user's emotions and interests.

[0182] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0183] Step 1:

[0184] The device captures the user's visual environment information using an optical detection device. Visual information is collected as input and digitally converted into image data. An image recognition algorithm is applied to generate identification results of the objects and scenes the user is viewing. This process makes it possible to understand the user's current visual focus.

[0185] Step 2:

[0186] The device collects ambient sound using an acoustic recognition device. Environmental sounds are acquired in real time as input and converted into audio data. After speech language recognition, keywords are extracted, and the output is a list of conversations and audio elements of interest. This process allows the user to identify topics of interest.

[0187] Step 3:

[0188] The terminal uses a spatial positioning device to acquire the user's current location. The input is location data, which is used to collect and analyze contextual information about the surrounding environment. The output generates geographically relevant information and information about events and spots related to that location. This process enables the provision of information tailored to the user's environment.

[0189] Step 4:

[0190] The server estimates the user's emotions using emotion determination tools based on collected visual, audio, and location information. It receives and analyzes the user's voice tone and image data as input. It then utilizes a generative AI model to output the emotional state. This process ensures the accurate generation of information corresponding to the user's feelings.

[0191] Step 5:

[0192] The server generates relevant information from emotions and interests. It uses estimated emotion and interest identification data as input to generate prompt sentences and then uses an AI model to produce information. The output is user-optimized information and recommendations. This allows users to receive information tailored to their individual needs.

[0193] Step 6:

[0194] The terminal presents relevant information received from the server to the user via a visual display. The input is generated information data, displayed on the screen in real time. Based on this information, the user can select their next action. This process allows the user to obtain visually intuitive information.

[0195] (Application Example 2)

[0196] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0197] A challenge exists in that users often struggle to obtain appropriate information based on their individual emotional states and interests when engaging in daily life or sightseeing activities. Currently, users must search for information themselves, which can lead to wasted time and effort, and potentially a less enriching experience. Therefore, there is a need for a system that dynamically considers users' emotions and interests and provides relevant information in real time.

[0198] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0199] In this invention, the server includes means for converting the user's visual information into digital data using an optical sensor, means for acquiring the user's voice and extracting keywords, and means for analyzing the user's emotional state and providing relevant information based on those emotions. This makes it possible to provide information based on the user's emotions and interests.

[0200] An "optical sensor" is a device used to acquire a user's visual information and convert it into digital data.

[0201] "Digital data" refers to data obtained by converting analog visual and auditory information into a format that can be processed by machines.

[0202] "Means for estimating interests" refers to methods or devices that analyze a user's visual and auditory information to determine what the user is interested in.

[0203] "Emotional analysis means" refers to a method or apparatus for analyzing a user's voice and visual expressions to estimate their emotional state.

[0204] "Visual display means" refers to a device or method for displaying generated relevant information in real time within the user's field of vision.

[0205] "Voice recognition means" refers to a device or method that acquires ambient sound and converts it into digital data.

[0206] "Means for extracting keywords" refers to a method or device for selecting important words or phrases from digital data obtained through speech recognition.

[0207] "Location measurement means" refers to a device or method for determining the user's current location.

[0208] "Environmental context" refers to information related to the user's location and surrounding environment.

[0209] This invention is a system that provides users with appropriate information in real time based on their individual emotional state and interests while they engage in daily life activities and sightseeing. This system is built using a terminal such as smart glasses and a server connected to it.

[0210] The device is equipped with an optical sensor, a voice recognition device, and a location measurement device. The optical sensor acquires the user's visual information and converts it into digital data. The voice recognition device records ambient sounds and analyzes them to extract keywords. The location measurement device determines the user's current location.

[0211] The server receives this data and performs advanced data analysis using a generative AI model. Specifically, it estimates the user's interests and emotional state from visual and audio data, as well as location information, and generates relevant information based on that. This relevant information is often obtained from databases on the internet.

[0212] The generated information is presented to the user as an overlay of the real world through the device's visual display. Users do not need to actively search for information; they can obtain it through natural interactions derived from sight and sound.

[0213] For example, consider a scenario where a user visits a tourist destination and is moved by a historical monument. This system can recognize the user's emotion through sentiment analysis and display detailed historical information related to that monument within the user's field of view.

[0214] Examples of prompts generated by the AI ​​model include, "When the user is emotional, suggest relevant information to display," and "Generate historical information related to the emotions of the current location." This allows for a highly personalized and enriched user experience.

[0215] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0216] Step 1:

[0217] The device uses optical sensors to capture the user's visual information and converts that data into digital data. The input is visual information, and the output is the digital format of the visual data. This allows the device to obtain information about the objects and scenery the user is seeing.

[0218] Step 2:

[0219] The device uses a voice recognition device to acquire sound from the user's surroundings and converts that audio data into a digital format. The input is audio information, and the output is audio data in digital format. This allows the device to understand the user's ambient sounds and conversation content.

[0220] Step 3:

[0221] The device uses a location measurement device to determine the user's current location. The input is location sensor data, and the output is the user's current location information. This makes it clear where the user is.

[0222] Step 4:

[0223] The server receives visual data, audio data, and location information, and analyzes this data using a generative AI model. The input is visual data, audio data, and location information, and the output is information that estimates the user's interests and emotions. This allows the system to determine what interests and emotions the user currently has.

[0224] Step 5:

[0225] The server uses a generative AI model to generate relevant information based on estimated interests and emotions. The input is interest and emotion information, and the output is relevant information provided to the user. This ensures that the user receives information optimized for their needs.

[0226] Step 6:

[0227] The server transmits the generated relevant information to the terminal in real time and presents it to the user via a visual display. The input is the relevant information, and the output is the information displayed in the user's field of vision. This allows the user to intuitively understand the information they need.

[0228] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0229] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0230] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0231] [Second Embodiment]

[0232] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0233] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0234] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0235] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0236] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0237] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0238] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0239] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0240] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0241] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0242] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0243] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0244] This invention is implemented by a system incorporated into smart glasses used by users on a daily basis. The aim of this system is to provide users with highly relevant information by acquiring and analyzing their visual and auditory information in real time.

[0245] Specifically, the smart glasses, which serve as the terminal, are equipped with optical sensors that constantly capture the objects and scenery the user is looking at. The input from these optical sensors is converted into digital data, which then recognizes the user's visual interests. In addition, a voice recognition system is incorporated to capture sounds and conversations around the user and analyze their content to estimate the user's interests.

[0246] The server plays a central role in analyzing this digital data. Using image recognition algorithms, the server identifies objects from visual information and retrieves related information from the database. Simultaneously, the server extracts keywords from audio data and finds relevant news and background information.

[0247] In addition, smart glasses incorporate location-measuring capabilities, allowing them to determine the user's current location and provide location-specific information (such as the history of the travel destination or information about nearby facilities). Through these processes, users can receive information in real time using visual display devices and take action as needed.

[0248] For example, when a user visits a tourist attraction, the device instantly displays the historical background and key points of interest of that place. Similarly, when entering a restaurant, it can provide real-time recommendations and ratings of the menu. Finally, if a user is interested in specific information and wants to learn more, they can save it and review it later.

[0249] As a result, this invention provides users with useful information in their daily lives in just the right amount, leading to a more convenient and efficient experience.

[0250] The following describes the processing flow.

[0251] Step 1:

[0252] The device uses optical sensors to capture objects and scenes within the user's field of view, converting the visual information into digital data. This data is temporarily stored within the device.

[0253] Step 2:

[0254] The device uses a voice recognition system to record ambient sounds in real time. The recorded audio is saved as digital data and undergoes basic pre-processing such as noise reduction.

[0255] Step 3:

[0256] The device uses location measurement methods to obtain the user's current location. This information is used as environmental context in subsequent information analysis.

[0257] Step 4:

[0258] The terminal compresses and encrypts pre-processed visual and audio data and transmits it to the server in real time. This transmission is carried out in a way that ensures security and privacy.

[0259] Step 5:

[0260] The server analyzes the received visual data using an image recognition algorithm to identify objects and locations. As a result of the analysis, relevant information is retrieved from the database.

[0261] Step 6:

[0262] The server converts the audio data into text and extracts important keywords and phrases. Based on this, information related to the audio context is collected.

[0263] Step 7:

[0264] The server analyzes user interests and behavioral history, including past data, to generate personalized information. This information is then filtered before being sent to the device.

[0265] Step 8:

[0266] The device displays the received relevant information overlaid on the user's field of view through a visual display mechanism. The user obtains this information in real time and, if necessary, checks the details or takes another action.

[0267] (Example 1)

[0268] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0269] In today's world, a vast amount of information is provided through various media, but most of it is not tailored to the user's current situation or interests. As a result, users spend a lot of time finding the information they need, and the usefulness of the available information is limited. In particular, the ability to efficiently acquire and visually display highly relevant information in real time is a challenge that existing technologies do not adequately address.

[0270] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0271] In this invention, the server includes means for converting and analyzing the user's visual information into digital data, means for extracting keywords from audio data, and means for understanding environmental information based on the user's location information and using it to generate relevant information. This makes it possible to acquire and present information tailored to the user's current interests and location in real time, and to streamline the acquisition of necessary information.

[0272] An "optical sensor" is a device that captures a user's visual information and converts it into digital data.

[0273] "Digital data" refers to data obtained by converting analog information into a format that can be processed electronically.

[0274] "Speech recognition means" refers to technology that collects speech, converts it into digital data, and analyzes it.

[0275] A "keyword" is a word or phrase that indicates an important concept or topic within audio or text.

[0276] "Location measurement means" refers to technologies used to determine a user's current location, and typically utilizes GPS or similar technologies.

[0277] "Environmental information" refers to information related to the user's location and surroundings, and includes location-dependent elements.

[0278] "Related information" refers to additional information generated based on the user's interests and location, and is useful to the user.

[0279] "Visual display means" refers to devices and technologies for presenting digital data to users visually in real time.

[0280] "Storage means" refers to technologies and devices that allow users to store information they need so that they can access it later.

[0281] This invention is implemented based on smart glasses, which are wearable devices used by users on a daily basis.

[0282] The terminal smart glasses constantly capture the user's visual information through a visual sensor. The visual sensor has the function of digitally converting landscapes and objects into image data. In addition, voice recognition means is incorporated into the terminal, which captures ambient sounds in real time and converts them into digital voice data. Furthermore, the terminal is provided with position measurement means, which uses GPS etc. to identify the user's current location.

[0283] The data is sent to the server via the Internet. The server applies an image recognition algorithm to the received visual data to identify specific objects and landscapes. In this process, a generative AI model is used to accurately estimate the user's interests. For the voice data as well, the server extracts keywords and searches for relevant information. The relevant information thus obtained is displayed in real time on the user's visual display means.

[0284] For example, when the user visits a certain tourist destination, the smart glasses can present the history and tourist information of that place to the user. Furthermore, when the user enters a restaurant, they can check the recommended dishes on the menu and the evaluations of the store in real time. Also, based on the user's interests, necessary information can be saved and checked at a later date.

[0285] Specific examples of the prompt sentences used in the generative AI model are as follows:

[0286] "Investigate and display the history of a specific building from the scenery the user is looking at."

[0287] "Provide information related to the popular music from the surrounding voices."

[0288] "Display the reviews of famous restaurants nearby based on the current location."

[0289] As a result, the user can always immediately receive appropriate information according to the situation on the spot, making it possible to live daily life more conveniently and efficiently.

[0290] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0291] Step 1:

[0292] The device uses optical sensors to capture the user's visual information. The input is the objects and scenery the user is looking at. This information is converted into digital image data. Specifically, the camera continuously takes images according to the refresh rate, and a processor inside the glasses converts them into a format that is easy to handle as digital data.

[0293] Step 2:

[0294] The device uses a microphone to acquire ambient sound. This audio data is then converted into a digital format. The input is ambient noise or conversational speech, and the output is an audio file. Specifically, a high-sensitivity microphone constantly detects sound, and a processor operates to convert it into a digital audio format.

[0295] Step 3:

[0296] The device determines the user's current location using a location measurement method. The input is location information such as GPS data, and the output is the user's coordinates. Specifically, the GPS module receives signals from satellites and updates the coordinates in real time.

[0297] Step 4:

[0298] The device transmits visual data, audio data, and location information to the server. The input is the various digital data generated in steps 1-3, and the output is the data transmitted to the server. In terms of operation, the data is basically uploaded to the cloud server via Wi-Fi or a mobile network.

[0299] Step 5:

[0300] The server analyzes the received visual data using an image recognition algorithm. The input is the visual data, and the recognized objects and scenes are obtained as the output. As a specific operation, a machine learning model analyzes the image data, extracts the features therein, and performs an identification process.

[0301] Step 6:

[0302] The server analyzes the voice data and extracts keywords. The input is the voice data, and the extracted keywords are obtained as the output. As a specific operation, a natural language processing algorithm converts the voice into text and performs a process of identifying important words and phrases.

[0303] Step 7:

[0304] The server searches for and generates information related to the user from the analyzed visual information, voice information, and location information. The input is the generated keywords and coordinate information, and the related information is provided to the user as the output. As a specific operation, a search algorithm retrieves information from a database or the Internet.

[0305] Step 8:

[0306] The terminal visually displays the related information received from the server to the user. The input is the related information from the server, and the content displayed on the smart glasses display is the output. As a specific operation, the display in the glasses projects the information in real time, and the user can view it.

[0307] Step 9:

[0308] Users take action based on the information presented. The input is the visually displayed information, and the output is the user's next action. A concrete example is saving information that the user finds interesting using the buttons on smart glasses.

[0309] (Application Example 1)

[0310] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0311] In modern urban environments, individuals have the potential to access vast amounts of information, but it is difficult to acquire and utilize it immediately. Furthermore, it is not easy for tourists or residents to efficiently obtain relevant information in real time at specific locations. Additionally, the lack of means to obtain additional information using audio and visual interfaces contributes to the inefficiency of information gathering.

[0312] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0313] In this invention, the server includes a sensor for acquiring visual information and means for converting it into digital data, means for analyzing the digital data and estimating the user's interests, and display means for generating relevant information based on the user's interests and displaying it in real time. This makes it possible for users in urban environments to instantly acquire information based on a specific location and obtain additional information through a visual and audio interface.

[0314] "Visual information" refers to information about objects or scenes that attract the user's visual interest or attention.

[0315] A "sensor" is a device that uses optical technology to physically acquire visual information.

[0316] "Digital data" refers to visual and auditory information converted into an analyzable data format.

[0317] "Analysis" is the process of using digital data to estimate users' interests and intentions.

[0318] A "user" is a person who uses the system to obtain visual and auditory information.

[0319] "Related information" refers to additional or useful data that is relevant to the user's interests or the current context.

[0320] "Display means" refers to an interface device for providing relevant information in real time, either visually or audibly.

[0321] A "voice command" is a voice-based instruction used by a user to interact with a system.

[0322] "Location information" refers to data that indicates the user's current geographical location.

[0323] "Context related to environmental information" refers to background information that corresponds to the user's location and surrounding conditions.

[0324] The term "urban environment" refers to the complex social and physical space in which buildings, facilities, and natural landscapes exist.

[0325] To implement this invention, the terminal worn by the user is equipped with an optical sensor for acquiring visual information and a microphone for acquiring audio information. The terminal has an internal processor for converting the acquired visual and audio information into digital data. All of this digital data is transmitted to a server, which is responsible for analyzing the received data.

[0326] On the server, visual information is processed using image recognition algorithms such as TensorFlow and OpenCV to recognize objects. Recognized objects are associated with a database, and appropriate related information is retrieved. Similarly, for audio information, the Google Speech API is used to extract important keywords from the recognized speech and retrieve related information.

[0327] Furthermore, the device is equipped with a standard GPS module, which allows the user's location information to be obtained. This location information is sent to a server and used to generate relevant information based on a specific geographical context. This enables the presentation of information tailored to urban environments.

[0328] The terminal displays relevant information requested in real time within the user's field of view, based on instructions from the server. Using voice commands, users can easily obtain additional information or save specific data.

[0329] For example, if a user is walking through a city and stands in front of a museum, the device can instantly display the building's history and information about current exhibitions. Similarly, when standing in front of a restaurant, it can display the restaurant's menu and ratings, and even allow users to make reservations using voice commands.

[0330] An example of a prompt message might be, "Please tell me how to provide specific information so that when a user visits a museum, its history and exhibition information can be displayed in real time."

[0331] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0332] Step 1:

[0333] The terminal uses optical sensors to acquire the user's visual information. The input is the object or scene the user is viewing, and the output is the visual information converted into digital data. The terminal then transfers this digital data to the server.

[0334] Step 2:

[0335] The server begins analyzing the received visual digital data as input. It performs image recognition processing using TensorFlow or similar tools to recognize objects. The output includes the IDs and features of the recognized objects, which are used for matching against the database.

[0336] Step 3:

[0337] The device uses a microphone to acquire audio information from the user's surroundings. The input is the waveform of nearby sounds, and the output is generated as audio data converted into digital data. The device sends this audio data to the server.

[0338] Step 4:

[0339] The server analyzes the received audio digital data as input. It performs speech recognition using tools such as the Google Speech API to extract important keywords. It generates a list of the extracted keywords as output and uses this list to find related information in the database.

[0340] Step 5:

[0341] The device uses a GPS module to obtain its current location information. It takes a GPS signal as input and outputs longitude and latitude data, which it then sends to the server.

[0342] Step 6:

[0343] The server takes the user's location information as input and generates data to understand the environment context. Based on this, it selects additional location-specific information from the database. The output is a list of location-related information.

[0344] Step 7:

[0345] The server integrates relevant information obtained from image recognition, speech recognition, and location data to create an optimal set of information for the user.

[0346] Step 8:

[0347] The terminal displays relevant information received from the server in the user's field of view in real time. The user receives the visual information and can inquire about further details using voice commands.

[0348] Step 9:

[0349] When a user requests specific information using voice commands, the terminal forwards it to the server, which performs further database searches. The server then sends additional relevant information back to the terminal and displays it to the user.

[0350] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0351] This invention provides users with highly personalized information by incorporating an emotion engine into a smart glasses system that acquires and analyzes the user's visual, audio, and location information in real time. The system aims to effectively support users in their daily lives by presenting appropriate information according to their behavior, interests, and emotional state.

[0352] Specifically, the device is equipped with optical sensors that constantly capture the objects and scenery the user is looking at, converting the visual information into digital data. This data is used for analysis to estimate the user's interests. Additionally, a voice recognition system is incorporated to collect and analyze sounds from the user's surroundings. This allows for a more specific identification of the user's interests.

[0353] In addition, the device uses location measurement methods to determine the user's current location. This makes it possible to provide information relevant to the user's location, taking into account the environmental context of that location.

[0354] The emotion engine uses this sensor data to estimate the user's emotions. For example, it analyzes the user's voice tone and facial expressions to determine their current emotional state. The server processes the data sent by the user and, based on the emotion engine's estimation results, generates relevant information considering what information the user needs.

[0355] This relevant information is transmitted to the device in real time and presented to the user via visual display. Because the information most relevant to the user's emotional state and interests is displayed directly in their field of vision, they can intuitively access the information.

[0356] For example, if a user is moved while visiting a tourist destination, the emotion engine recognizes that emotion and provides more detailed historical information and information about related works of art. Furthermore, if the user is feeling stressed, it can offer relaxation advice and guide them to quiet places.

[0357] Thus, the present invention provides a new means of improving the user experience by dynamically providing information optimized for the user through the use of sentiment analysis.

[0358] The following describes the processing flow.

[0359] Step 1:

[0360] The device uses optical sensors to capture the user's field of view in real time and converts the visual information into digital data. This records the objects and locations that are visible.

[0361] Step 2:

[0362] The device uses voice recognition to acquire ambient sounds. The audio is converted into digital data, and basic preprocessing is performed to remove background noise.

[0363] Step 3:

[0364] The device uses location measurement means to determine the user's current location. The acquired location information is used to derive contextual information related to the environment.

[0365] Step 4:

[0366] The device utilizes an emotion engine to estimate the user's emotional state from visual and audio data. Visual data is used to analyze facial expressions, and audio data is used to evaluate tone and speed.

[0367] Step 5:

[0368] The terminal compresses and encrypts the collected data before sending it to the server. A secure protocol is used for this transmission.

[0369] Step 6:

[0370] The server analyzes the received visual, audio, location, and emotion data. In particular, it uses the emotion engine's estimated emotional state as a reference to extract information that takes into account the user's interests and environmental context.

[0371] Step 7:

[0372] The server generates relevant information based on the analysis results. This information is optimized for the user's interests and emotional state, and includes appropriate action items and suggestions where necessary.

[0373] Step 8:

[0374] The terminal receives relevant information transmitted from the server and presents it to the user in real time through visual display means. Based on this information, the user can intuitively decide on their next action.

[0375] (Example 2)

[0376] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0377] Traditional information delivery systems struggled to accurately grasp users' interests and emotions, resulting in the problem that the information provided did not always truly match user needs. Furthermore, real-time information generation and delivery were inefficient, preventing the presentation of information instantly tailored to the user's needs. This limited the user experience and restricted practicality.

[0378] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0379] In this invention, the server includes means for converting the user's visual information into digital data, means for analyzing audio data and extracting keywords, and means for generating relevant information based on the user's location information and emotions. This makes it possible to provide information tailored to the user's interests and emotional state in real time.

[0380] An "optical detection device" is a device that captures the scene or object that the user is looking at and converts that visual information into digital data.

[0381] An "acoustic recognition device" is a device that acquires ambient sound and converts that sound into digital data that can be analyzed.

[0382] A "spatial position measurement device" is a device used to acquire the user's current location and to understand the context of the environment based on that location information.

[0383] An "emotion determination method" is a means of estimating a user's emotional state by analyzing the user's voice tone and facial expressions obtained from visual information based on acquired sensor data.

[0384] A "visual display device" is a device that visually presents relevant information generated from a server to the user, enabling them to intuitively receive the information.

[0385] This invention is a system that enables the provision of more personalized information to users. This system is based on a smart device that acquires and analyzes the user's visual information, audio information, and location information in real time. The terminal is equipped with an optical detection device, an acoustic recognition device, and a spatial position measurement device.

[0386] The device uses an optical detection device to capture the user's visual environment, converting the objects and scenery the user is seeing into digital data. An acoustic recognition device acquires ambient sounds and converts them into analyzable digital data, allowing for a deeper exploration of the user's interest in the content. Furthermore, a spatial positioning device acquires the user's current location and uses that location information to understand the relevant environmental context.

[0387] The server collects this sensor data and utilizes a generative AI model to estimate the user's emotions using emotion determination tools. Based on the estimated emotions and the user's interests, the server generates appropriate relevant information. This relevant information is presented to the user in real time via a visual display device.

[0388] For example, if a user shows an expression of enjoyment while viewing an exhibit in a museum, the server can capture that emotion and generate detailed information about the related exhibit and the story behind it, which can then be presented to the user on their device. Furthermore, if a user is experiencing stress, the device can provide relaxing music or suggest quiet locations.

[0389] A concrete example of a prompt message would be, "The user's current emotion is joy. Generate relevant tourist information." This enables the system to instantly provide information that is tailored to the user's emotions and interests.

[0390] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0391] Step 1:

[0392] The device captures the user's visual environment information using an optical detection device. Visual information is collected as input and digitally converted into image data. An image recognition algorithm is applied to generate identification results of the objects and scenes the user is viewing. This process makes it possible to understand the user's current visual focus.

[0393] Step 2:

[0394] The device collects ambient sound using an acoustic recognition device. Environmental sounds are acquired in real time as input and converted into audio data. After speech language recognition, keywords are extracted, and the output is a list of conversations and audio elements of interest. This process allows the user to identify topics of interest.

[0395] Step 3:

[0396] The terminal uses a spatial positioning device to acquire the user's current location. The input is location data, which is used to collect and analyze contextual information about the surrounding environment. The output generates geographically relevant information and information about events and spots related to that location. This process enables the provision of information tailored to the user's environment.

[0397] Step 4:

[0398] The server estimates the user's emotions using emotion determination tools based on collected visual, audio, and location information. It receives and analyzes the user's voice tone and image data as input. It then utilizes a generative AI model to output the emotional state. This process ensures the accurate generation of information corresponding to the user's feelings.

[0399] Step 5:

[0400] The server generates relevant information from emotions and interests. It uses estimated emotion and interest identification data as input to generate prompt sentences and then uses an AI model to produce information. The output is user-optimized information and recommendations. This allows users to receive information tailored to their individual needs.

[0401] Step 6:

[0402] The terminal presents relevant information received from the server to the user via a visual display. The input is generated information data, displayed on the screen in real time. Based on this information, the user can select their next action. This process allows the user to obtain visually intuitive information.

[0403] (Application Example 2)

[0404] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0405] A challenge exists in that users often struggle to obtain appropriate information based on their individual emotional states and interests when engaging in daily life or sightseeing activities. Currently, users must search for information themselves, which can lead to wasted time and effort, and potentially a less enriching experience. Therefore, there is a need for a system that dynamically considers users' emotions and interests and provides relevant information in real time.

[0406] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0407] In this invention, the server includes means for converting the user's visual information into digital data using an optical sensor, means for acquiring the user's voice and extracting keywords, and means for analyzing the user's emotional state and providing relevant information based on those emotions. This makes it possible to provide information based on the user's emotions and interests.

[0408] An "optical sensor" is a device used to acquire a user's visual information and convert it into digital data.

[0409] "Digital data" refers to data obtained by converting analog visual and auditory information into a format that can be processed by machines.

[0410] "Means for estimating interests" refers to methods or devices that analyze a user's visual and auditory information to determine what the user is interested in.

[0411] "Emotional analysis means" refers to a method or apparatus for analyzing a user's voice and visual expressions to estimate their emotional state.

[0412] "Visual display means" refers to a device or method for displaying generated relevant information in real time within the user's field of vision.

[0413] "Voice recognition means" refers to a device or method that acquires ambient sound and converts it into digital data.

[0414] "Means for extracting keywords" refers to a method or device for selecting important words or phrases from digital data obtained through speech recognition.

[0415] "Location measurement means" refers to a device or method for determining the user's current location.

[0416] "Environmental context" refers to information related to the user's location and surrounding environment.

[0417] This invention is a system that provides users with appropriate information in real time based on their individual emotional state and interests while they engage in daily life activities and sightseeing. This system is built using a terminal such as smart glasses and a server connected to it.

[0418] The device is equipped with an optical sensor, a voice recognition device, and a location measurement device. The optical sensor acquires the user's visual information and converts it into digital data. The voice recognition device records ambient sounds and analyzes them to extract keywords. The location measurement device determines the user's current location.

[0419] The server receives this data and performs advanced data analysis using a generative AI model. Specifically, it estimates the user's interests and emotional state from visual and audio data, as well as location information, and generates relevant information based on that. This relevant information is often obtained from databases on the internet.

[0420] The generated information is presented to the user as an overlay of the real world through the device's visual display. Users do not need to actively search for information; they can obtain it through natural interactions derived from sight and sound.

[0421] For example, consider a scenario where a user visits a tourist destination and is moved by a historical monument. This system can recognize the user's emotion through sentiment analysis and display detailed historical information related to that monument within the user's field of view.

[0422] Examples of prompts generated by the AI ​​model include, "When the user is emotional, suggest relevant information to display," and "Generate historical information related to the emotions of the current location." This allows for a highly personalized and enriched user experience.

[0423] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0424] Step 1:

[0425] The device uses optical sensors to capture the user's visual information and converts that data into digital data. The input is visual information, and the output is the digital format of the visual data. This allows the device to obtain information about the objects and scenery the user is seeing.

[0426] Step 2:

[0427] The device uses a voice recognition device to acquire sound from the user's surroundings and converts that audio data into a digital format. The input is audio information, and the output is audio data in digital format. This allows the device to understand the user's ambient sounds and conversation content.

[0428] Step 3:

[0429] The device uses a location measurement device to determine the user's current location. The input is location sensor data, and the output is the user's current location information. This makes it clear where the user is.

[0430] Step 4:

[0431] The server receives visual data, audio data, and location information, and analyzes this data using a generative AI model. The input is visual data, audio data, and location information, and the output is information that estimates the user's interests and emotions. This allows the system to determine what interests and emotions the user currently has.

[0432] Step 5:

[0433] The server uses a generative AI model to generate relevant information based on estimated interests and emotions. The input is interest and emotion information, and the output is relevant information provided to the user. This ensures that the user receives information optimized for their needs.

[0434] Step 6:

[0435] The server transmits the generated relevant information to the terminal in real time and presents it to the user via a visual display. The input is the relevant information, and the output is the information displayed in the user's field of vision. This allows the user to intuitively understand the information they need.

[0436] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0437] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0438] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0439] [Third Embodiment]

[0440] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0441] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0442] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0443] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0444] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0445] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0446] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0447] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0448] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0449] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0450] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0451] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0452] This invention is implemented by a system incorporated into smart glasses used by users on a daily basis. The aim of this system is to provide users with highly relevant information by acquiring and analyzing their visual and auditory information in real time.

[0453] Specifically, the smart glasses, which serve as the terminal, are equipped with optical sensors that constantly capture the objects and scenery the user is looking at. The input from these optical sensors is converted into digital data, which then recognizes the user's visual interests. In addition, a voice recognition system is incorporated to capture sounds and conversations around the user and analyze their content to estimate the user's interests.

[0454] The server plays a central role in analyzing this digital data. Using image recognition algorithms, the server identifies objects from visual information and retrieves related information from the database. Simultaneously, the server extracts keywords from audio data and finds relevant news and background information.

[0455] In addition, smart glasses incorporate location-measuring capabilities, allowing them to determine the user's current location and provide location-specific information (such as the history of the travel destination or information about nearby facilities). Through these processes, users can receive information in real time using visual display devices and take action as needed.

[0456] For example, when a user visits a tourist attraction, the device instantly displays the historical background and key points of interest of that place. Similarly, when entering a restaurant, it can provide real-time recommendations and ratings of the menu. Finally, if a user is interested in specific information and wants to learn more, they can save it and review it later.

[0457] As a result, this invention provides users with useful information in their daily lives in just the right amount, leading to a more convenient and efficient experience.

[0458] The following describes the processing flow.

[0459] Step 1:

[0460] The device uses optical sensors to capture objects and scenes within the user's field of view, converting the visual information into digital data. This data is temporarily stored within the device.

[0461] Step 2:

[0462] The device uses a voice recognition system to record ambient sounds in real time. The recorded audio is saved as digital data and undergoes basic pre-processing such as noise reduction.

[0463] Step 3:

[0464] The device uses location measurement methods to obtain the user's current location. This information is used as environmental context in subsequent information analysis.

[0465] Step 4:

[0466] The terminal compresses and encrypts pre-processed visual and audio data and transmits it to the server in real time. This transmission is carried out in a way that ensures security and privacy.

[0467] Step 5:

[0468] The server analyzes the received visual data using an image recognition algorithm to identify objects and locations. As a result of the analysis, relevant information is retrieved from the database.

[0469] Step 6:

[0470] The server converts the audio data into text and extracts important keywords and phrases. Based on this, information related to the audio context is collected.

[0471] Step 7:

[0472] The server analyzes user interests and behavioral history, including past data, to generate personalized information. This information is then filtered before being sent to the device.

[0473] Step 8:

[0474] The device displays the received relevant information overlaid on the user's field of view through a visual display mechanism. The user obtains this information in real time and, if necessary, checks the details or takes another action.

[0475] (Example 1)

[0476] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0477] In today's world, a vast amount of information is provided through various media, but most of it is not tailored to the user's current situation or interests. As a result, users spend a lot of time finding the information they need, and the usefulness of the available information is limited. In particular, the ability to efficiently acquire and visually display highly relevant information in real time is a challenge that existing technologies do not adequately address.

[0478] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0479] In this invention, the server includes means for converting and analyzing the user's visual information into digital data, means for extracting keywords from audio data, and means for understanding environmental information based on the user's location information and using it to generate relevant information. This makes it possible to acquire and present information tailored to the user's current interests and location in real time, and to streamline the acquisition of necessary information.

[0480] An "optical sensor" is a device that captures a user's visual information and converts it into digital data.

[0481] "Digital data" refers to data obtained by converting analog information into a format that can be processed electronically.

[0482] "Speech recognition means" refers to technology that collects speech, converts it into digital data, and analyzes it.

[0483] A "keyword" is a word or phrase that indicates an important concept or topic within audio or text.

[0484] "Location measurement means" refers to technologies used to determine a user's current location, and typically utilizes GPS or similar technologies.

[0485] "Environmental information" refers to information related to the user's location and surroundings, and includes location-dependent elements.

[0486] "Related information" refers to additional information generated based on the user's interests and location, and is useful to the user.

[0487] "Visual display means" refers to devices and technologies for presenting digital data to users visually in real time.

[0488] "Storage means" refers to technologies and devices that allow users to store information they need so that they can access it later.

[0489] This invention is implemented based on smart glasses, which are wearable devices used by users on a daily basis.

[0490] The smart glasses, which serve as the terminal, constantly capture the user's visual information using a visual sensor. The visual sensor has the function of digitally converting scenery and objects into image data. The terminal also incorporates a voice recognition system that captures ambient sounds in real time and converts them into digital audio data. Furthermore, the terminal is equipped with a location measurement system that determines the user's current location using GPS or similar means.

[0491] Data is transmitted to a server via the internet. The server applies image recognition algorithms to the received visual data to identify specific objects and landscapes. Generative AI models are used in this process to accurately estimate the user's interests. For audio data, the server also extracts keywords and searches for related information. The related information obtained in this way is displayed in real time on the user's visual display device.

[0492] For example, when a user visits a tourist destination, smart glasses can display the location's history and tourist information. Furthermore, when a user enters a restaurant, they can check recommended dishes on the menu and restaurant ratings in real time. Information can also be saved based on the user's interests for later reference.

[0493] The following are specific examples of prompt statements used in generative AI models:

[0494] "Research and display the history of a specific building within the view the user is seeing."

[0495] "Provide information related to popular music based on the surrounding sounds."

[0496] "Show me reviews of popular restaurants near my current location."

[0497] This allows users to instantly receive appropriate information tailored to their situation, making their daily lives more convenient and efficient.

[0498] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0499] Step 1:

[0500] The device uses optical sensors to capture the user's visual information. The input is the objects and scenery the user is looking at. This information is converted into digital image data. Specifically, the camera continuously takes images according to the refresh rate, and a processor inside the glasses converts them into a format that is easy to handle as digital data.

[0501] Step 2:

[0502] The device uses a microphone to acquire ambient sound. This audio data is then converted into a digital format. The input is ambient noise or conversational speech, and the output is an audio file. Specifically, a high-sensitivity microphone constantly detects sound, and a processor operates to convert it into a digital audio format.

[0503] Step 3:

[0504] The device determines the user's current location using a location measurement method. The input is location information such as GPS data, and the output is the user's coordinates. Specifically, the GPS module receives signals from satellites and updates the coordinates in real time.

[0505] Step 4:

[0506] The device transmits visual data, audio data, and location information to the server. The input is the various digital data generated in steps 1-3, and the output is the data transmitted to the server. In terms of operation, the data is basically uploaded to the cloud server via Wi-Fi or a mobile network.

[0507] Step 5:

[0508] The server analyzes the received visual data using an image recognition algorithm. The input is visual data, and the output is the recognized objects or scenes. Specifically, a machine learning model analyzes the image data, extracts features from it, and performs identification.

[0509] Step 6:

[0510] The server analyzes audio data and extracts keywords. The input is audio data, and the output is the extracted keywords. Specifically, a natural language processing algorithm converts the audio to text and identifies important words and phrases.

[0511] Step 7:

[0512] The server searches for and generates user-related information from analyzed visual, audio, and location data. The input consists of generated keywords and coordinate information, and the output provides the user with relevant information. Specifically, the search algorithm retrieves information from databases and the internet.

[0513] Step 8:

[0514] The device visually displays relevant information received from the server to the user. The input is relevant information from the server, and the output is the content displayed on the smart glasses' screen. Specifically, the display inside the glasses shows the information in real time, which the user can view.

[0515] Step 9:

[0516] Users take action based on the information presented. The input is the visually displayed information, and the output is the user's next action. A concrete example is saving information that the user finds interesting using the buttons on smart glasses.

[0517] (Application Example 1)

[0518] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0519] In modern urban environments, individuals have the potential to access vast amounts of information, but it is difficult to acquire and utilize it immediately. Furthermore, it is not easy for tourists or residents to efficiently obtain relevant information in real time at specific locations. Additionally, the lack of means to obtain additional information using audio and visual interfaces contributes to the inefficiency of information gathering.

[0520] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0521] In this invention, the server includes a sensor for acquiring visual information and means for converting it into digital data, means for analyzing the digital data and estimating the user's interests, and display means for generating relevant information based on the user's interests and displaying it in real time. This makes it possible for users in urban environments to instantly acquire information based on a specific location and obtain additional information through a visual and audio interface.

[0522] "Visual information" refers to information about objects or scenes that attract the user's visual interest or attention.

[0523] A "sensor" is a device that uses optical technology to physically acquire visual information.

[0524] "Digital data" refers to visual and auditory information converted into an analyzable data format.

[0525] "Analysis" is the process of using digital data to estimate users' interests and intentions.

[0526] A "user" is a person who uses the system to obtain visual and auditory information.

[0527] "Related information" refers to additional or useful data that is relevant to the user's interests or the current context.

[0528] "Display means" refers to an interface device for providing relevant information in real time, either visually or audibly.

[0529] A "voice command" is a voice-based instruction used by a user to interact with a system.

[0530] "Location information" refers to data that indicates the user's current geographical location.

[0531] "Context related to environmental information" refers to background information that corresponds to the user's location and surrounding conditions.

[0532] The term "urban environment" refers to the complex social and physical space in which buildings, facilities, and natural landscapes exist.

[0533] To implement this invention, the terminal worn by the user is equipped with an optical sensor for acquiring visual information and a microphone for acquiring audio information. The terminal has an internal processor for converting the acquired visual and audio information into digital data. All of this digital data is transmitted to a server, which is responsible for analyzing the received data.

[0534] On the server, visual information is processed using image recognition algorithms such as TensorFlow and OpenCV to recognize objects. Recognized objects are associated with a database, and appropriate related information is retrieved. Similarly, for audio information, the Google Speech API is used to extract important keywords from the recognized speech and retrieve related information.

[0535] Furthermore, the device is equipped with a standard GPS module, which allows the user's location information to be obtained. This location information is sent to a server and used to generate relevant information based on a specific geographical context. This enables the presentation of information tailored to urban environments.

[0536] The terminal displays relevant information requested in real time within the user's field of view, based on instructions from the server. Using voice commands, users can easily obtain additional information or save specific data.

[0537] For example, if a user is walking through a city and stands in front of a museum, the device can instantly display the building's history and information about current exhibitions. Similarly, when standing in front of a restaurant, it can display the restaurant's menu and ratings, and even allow users to make reservations using voice commands.

[0538] An example of a prompt message might be, "Please tell me how to provide specific information so that when a user visits a museum, its history and exhibition information can be displayed in real time."

[0539] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0540] Step 1:

[0541] The terminal uses optical sensors to acquire the user's visual information. The input is the object or scene the user is viewing, and the output is the visual information converted into digital data. The terminal then transfers this digital data to the server.

[0542] Step 2:

[0543] The server begins analyzing the received visual digital data as input. It performs image recognition processing using TensorFlow or similar tools to recognize objects. The output includes the IDs and features of the recognized objects, which are used for matching against the database.

[0544] Step 3:

[0545] The device uses a microphone to acquire audio information from the user's surroundings. The input is the waveform of nearby sounds, and the output is generated as audio data converted into digital data. The device sends this audio data to the server.

[0546] Step 4:

[0547] The server analyzes the received audio digital data as input. It performs speech recognition using tools such as the Google Speech API to extract important keywords. It generates a list of the extracted keywords as output and uses this list to find related information in the database.

[0548] Step 5:

[0549] The device uses a GPS module to obtain its current location information. It takes a GPS signal as input and outputs longitude and latitude data, which it then sends to the server.

[0550] Step 6:

[0551] The server takes the user's location information as input and generates data to understand the environment context. Based on this, it selects additional location-specific information from the database. The output is a list of location-related information.

[0552] Step 7:

[0553] The server integrates relevant information obtained from image recognition, speech recognition, and location data to create an optimal set of information for the user.

[0554] Step 8:

[0555] The terminal displays relevant information received from the server in the user's field of view in real time. The user receives the visual information and can inquire about further details using voice commands.

[0556] Step 9:

[0557] When a user requests specific information using voice commands, the terminal forwards it to the server, which performs further database searches. The server then sends additional relevant information back to the terminal and displays it to the user.

[0558] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0559] This invention provides users with highly personalized information by incorporating an emotion engine into a smart glasses system that acquires and analyzes the user's visual, audio, and location information in real time. The system aims to effectively support users in their daily lives by presenting appropriate information according to their behavior, interests, and emotional state.

[0560] Specifically, the device is equipped with optical sensors that constantly capture the objects and scenery the user is looking at, converting the visual information into digital data. This data is used for analysis to estimate the user's interests. Additionally, a voice recognition system is incorporated to collect and analyze sounds from the user's surroundings. This allows for a more specific identification of the user's interests.

[0561] In addition, the device uses location measurement methods to determine the user's current location. This makes it possible to provide information relevant to the user's location, taking into account the environmental context of that location.

[0562] The emotion engine uses this sensor data to estimate the user's emotions. For example, it analyzes the user's voice tone and facial expressions to determine their current emotional state. The server processes the data sent by the user and, based on the emotion engine's estimation results, generates relevant information considering what information the user needs.

[0563] This relevant information is transmitted to the device in real time and presented to the user via visual display. Because the information most relevant to the user's emotional state and interests is displayed directly in their field of vision, they can intuitively access the information.

[0564] For example, if a user is moved while visiting a tourist destination, the emotion engine recognizes that emotion and provides more detailed historical information and information about related works of art. Furthermore, if the user is feeling stressed, it can offer relaxation advice and guide them to quiet places.

[0565] Thus, the present invention provides a new means of improving the user experience by dynamically providing information optimized for the user through the use of sentiment analysis.

[0566] The following describes the processing flow.

[0567] Step 1:

[0568] The device uses optical sensors to capture the user's field of view in real time and converts the visual information into digital data. This records the objects and locations that are visible.

[0569] Step 2:

[0570] The device uses voice recognition to acquire ambient sounds. The audio is converted into digital data, and basic preprocessing is performed to remove background noise.

[0571] Step 3:

[0572] The device uses location measurement means to determine the user's current location. The acquired location information is used to derive contextual information related to the environment.

[0573] Step 4:

[0574] The device utilizes an emotion engine to estimate the user's emotional state from visual and audio data. Visual data is used to analyze facial expressions, and audio data is used to evaluate tone and speed.

[0575] Step 5:

[0576] The terminal compresses and encrypts the collected data before sending it to the server. A secure protocol is used for this transmission.

[0577] Step 6:

[0578] The server analyzes the received visual, audio, location, and emotion data. In particular, it uses the emotion engine's estimated emotional state as a reference to extract information that takes into account the user's interests and environmental context.

[0579] Step 7:

[0580] The server generates relevant information based on the analysis results. This information is optimized for the user's interests and emotional state, and includes appropriate action items and suggestions where necessary.

[0581] Step 8:

[0582] The terminal receives relevant information transmitted from the server and presents it to the user in real time through visual display means. Based on this information, the user can intuitively decide on their next action.

[0583] (Example 2)

[0584] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0585] Traditional information delivery systems struggled to accurately grasp users' interests and emotions, resulting in the problem that the information provided did not always truly match user needs. Furthermore, real-time information generation and delivery were inefficient, preventing the presentation of information instantly tailored to the user's needs. This limited the user experience and restricted practicality.

[0586] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0587] In this invention, the server includes means for converting the user's visual information into digital data, means for analyzing audio data and extracting keywords, and means for generating relevant information based on the user's location information and emotions. This makes it possible to provide information tailored to the user's interests and emotional state in real time.

[0588] An "optical detection device" is a device that captures the scene or object that the user is looking at and converts that visual information into digital data.

[0589] An "acoustic recognition device" is a device that acquires ambient sound and converts that sound into digital data that can be analyzed.

[0590] A "spatial position measurement device" is a device used to acquire the user's current location and to understand the context of the environment based on that location information.

[0591] An "emotion determination method" is a means of estimating a user's emotional state by analyzing the user's voice tone and facial expressions obtained from visual information based on acquired sensor data.

[0592] A "visual display device" is a device that visually presents relevant information generated from a server to the user, enabling them to intuitively receive the information.

[0593] This invention is a system that enables the provision of more personalized information to users. This system is based on a smart device that acquires and analyzes the user's visual information, audio information, and location information in real time. The terminal is equipped with an optical detection device, an acoustic recognition device, and a spatial position measurement device.

[0594] The device uses an optical detection device to capture the user's visual environment, converting the objects and scenery the user is seeing into digital data. An acoustic recognition device acquires ambient sounds and converts them into analyzable digital data, allowing for a deeper exploration of the user's interest in the content. Furthermore, a spatial positioning device acquires the user's current location and uses that location information to understand the relevant environmental context.

[0595] The server collects this sensor data and utilizes a generative AI model to estimate the user's emotions using emotion determination tools. Based on the estimated emotions and the user's interests, the server generates appropriate relevant information. This relevant information is presented to the user in real time via a visual display device.

[0596] For example, if a user shows an expression of enjoyment while viewing an exhibit in a museum, the server can capture that emotion and generate detailed information about the related exhibit and the story behind it, which can then be presented to the user on their device. Furthermore, if a user is experiencing stress, the device can provide relaxing music or suggest quiet locations.

[0597] A concrete example of a prompt message would be, "The user's current emotion is joy. Generate relevant tourist information." This enables the system to instantly provide information that is tailored to the user's emotions and interests.

[0598] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0599] Step 1:

[0600] The device captures the user's visual environment information using an optical detection device. Visual information is collected as input and digitally converted into image data. An image recognition algorithm is applied to generate identification results of the objects and scenes the user is viewing. This process makes it possible to understand the user's current visual focus.

[0601] Step 2:

[0602] The device collects ambient sound using an acoustic recognition device. Environmental sounds are acquired in real time as input and converted into audio data. After speech language recognition, keywords are extracted, and the output is a list of conversations and audio elements of interest. This process allows the user to identify topics of interest.

[0603] Step 3:

[0604] The terminal uses a spatial positioning device to acquire the user's current location. The input is location data, which is used to collect and analyze contextual information about the surrounding environment. The output generates geographically relevant information and information about events and spots related to that location. This process enables the provision of information tailored to the user's environment.

[0605] Step 4:

[0606] The server estimates the user's emotions using emotion determination tools based on collected visual, audio, and location information. It receives and analyzes the user's voice tone and image data as input. It then utilizes a generative AI model to output the emotional state. This process ensures the accurate generation of information corresponding to the user's feelings.

[0607] Step 5:

[0608] The server generates relevant information from emotions and interests. It uses estimated emotion and interest identification data as input to generate prompt sentences and then uses an AI model to produce information. The output is user-optimized information and recommendations. This allows users to receive information tailored to their individual needs.

[0609] Step 6:

[0610] The terminal presents relevant information received from the server to the user via a visual display. The input is generated information data, displayed on the screen in real time. Based on this information, the user can select their next action. This process allows the user to obtain visually intuitive information.

[0611] (Application Example 2)

[0612] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0613] A challenge exists in that users often struggle to obtain appropriate information based on their individual emotional states and interests when engaging in daily life or sightseeing activities. Currently, users must search for information themselves, which can lead to wasted time and effort, and potentially a less enriching experience. Therefore, there is a need for a system that dynamically considers users' emotions and interests and provides relevant information in real time.

[0614] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0615] In this invention, the server includes means for converting the user's visual information into digital data using an optical sensor, means for acquiring the user's voice and extracting keywords, and means for analyzing the user's emotional state and providing relevant information based on those emotions. This makes it possible to provide information based on the user's emotions and interests.

[0616] An "optical sensor" is a device used to acquire a user's visual information and convert it into digital data.

[0617] "Digital data" refers to data obtained by converting analog visual and auditory information into a format that can be processed by machines.

[0618] "Means for estimating interests" refers to methods or devices that analyze a user's visual and auditory information to determine what the user is interested in.

[0619] "Emotional analysis means" refers to a method or apparatus for analyzing a user's voice and visual expressions to estimate their emotional state.

[0620] "Visual display means" refers to a device or method for displaying generated relevant information in real time within the user's field of vision.

[0621] "Voice recognition means" refers to a device or method that acquires ambient sound and converts it into digital data.

[0622] "Means for extracting keywords" refers to a method or device for selecting important words or phrases from digital data obtained through speech recognition.

[0623] "Location measurement means" refers to a device or method for determining the user's current location.

[0624] "Environmental context" refers to information related to the user's location and surrounding environment.

[0625] This invention is a system that provides users with appropriate information in real time based on their individual emotional state and interests while they engage in daily life activities and sightseeing. This system is built using a terminal such as smart glasses and a server connected to it.

[0626] The device is equipped with an optical sensor, a voice recognition device, and a location measurement device. The optical sensor acquires the user's visual information and converts it into digital data. The voice recognition device records ambient sounds and analyzes them to extract keywords. The location measurement device determines the user's current location.

[0627] The server receives this data and performs advanced data analysis using a generative AI model. Specifically, it estimates the user's interests and emotional state from visual and audio data, as well as location information, and generates relevant information based on that. This relevant information is often obtained from databases on the internet.

[0628] The generated information is presented to the user as an overlay of the real world through the device's visual display. Users do not need to actively search for information; they can obtain it through natural interactions derived from sight and sound.

[0629] For example, consider a scenario where a user visits a tourist destination and is moved by a historical monument. This system can recognize the user's emotion through sentiment analysis and display detailed historical information related to that monument within the user's field of view.

[0630] Examples of prompts generated by the AI ​​model include, "When the user is emotional, suggest relevant information to display," and "Generate historical information related to the emotions of the current location." This allows for a highly personalized and enriched user experience.

[0631] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0632] Step 1:

[0633] The device uses optical sensors to capture the user's visual information and converts that data into digital data. The input is visual information, and the output is the digital format of the visual data. This allows the device to obtain information about the objects and scenery the user is seeing.

[0634] Step 2:

[0635] The device uses a voice recognition device to acquire sound from the user's surroundings and converts that audio data into a digital format. The input is audio information, and the output is audio data in digital format. This allows the device to understand the user's ambient sounds and conversation content.

[0636] Step 3:

[0637] The device uses a location measurement device to determine the user's current location. The input is location sensor data, and the output is the user's current location information. This makes it clear where the user is.

[0638] Step 4:

[0639] The server receives visual data, audio data, and location information, and analyzes this data using a generative AI model. The input is visual data, audio data, and location information, and the output is information that estimates the user's interests and emotions. This allows the system to determine what interests and emotions the user currently has.

[0640] Step 5:

[0641] The server uses a generative AI model to generate relevant information based on estimated interests and emotions. The input is interest and emotion information, and the output is relevant information provided to the user. This ensures that the user receives information optimized for their needs.

[0642] Step 6:

[0643] The server transmits the generated relevant information to the terminal in real time and presents it to the user via a visual display. The input is the relevant information, and the output is the information displayed in the user's field of vision. This allows the user to intuitively understand the information they need.

[0644] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0645] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0646] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0647] [Fourth Embodiment]

[0648] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0649] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0650] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0651] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0652] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0653] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0654] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0655] The controlled 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0656] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0657] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0658] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0659] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0660] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0661] This invention is implemented by a system incorporated into smart glasses used by users on a daily basis. The aim of this system is to provide users with highly relevant information by acquiring and analyzing their visual and auditory information in real time.

[0662] Specifically, the smart glasses, which serve as the terminal, are equipped with optical sensors that constantly capture the objects and scenery the user is looking at. The input from these optical sensors is converted into digital data, which then recognizes the user's visual interests. In addition, a voice recognition system is incorporated to capture sounds and conversations around the user and analyze their content to estimate the user's interests.

[0663] The server plays a central role in analyzing this digital data. Using image recognition algorithms, the server identifies objects from visual information and retrieves related information from the database. Simultaneously, the server extracts keywords from audio data and finds relevant news and background information.

[0664] In addition, smart glasses incorporate location-measuring capabilities, allowing them to determine the user's current location and provide location-specific information (such as the history of the travel destination or information about nearby facilities). Through these processes, users can receive information in real time using visual display devices and take action as needed.

[0665] For example, when a user visits a tourist attraction, the device instantly displays the historical background and key points of interest of that place. Similarly, when entering a restaurant, it can provide real-time recommendations and ratings of the menu. Finally, if a user is interested in specific information and wants to learn more, they can save it and review it later.

[0666] As a result, this invention provides users with useful information in their daily lives in just the right amount, leading to a more convenient and efficient experience.

[0667] The following describes the processing flow.

[0668] Step 1:

[0669] The device uses optical sensors to capture objects and scenes within the user's field of view, converting the visual information into digital data. This data is temporarily stored within the device.

[0670] Step 2:

[0671] The device uses a voice recognition system to record ambient sounds in real time. The recorded audio is saved as digital data and undergoes basic pre-processing such as noise reduction.

[0672] Step 3:

[0673] The device uses location measurement methods to obtain the user's current location. This information is used as environmental context in subsequent information analysis.

[0674] Step 4:

[0675] The terminal compresses and encrypts pre-processed visual and audio data and transmits it to the server in real time. This transmission is carried out in a way that ensures security and privacy.

[0676] Step 5:

[0677] The server analyzes the received visual data using an image recognition algorithm to identify objects and locations. As a result of the analysis, relevant information is retrieved from the database.

[0678] Step 6:

[0679] The server converts the audio data into text and extracts important keywords and phrases. Based on this, information related to the audio context is collected.

[0680] Step 7:

[0681] The server analyzes user interests and behavioral history, including past data, to generate personalized information. This information is then filtered before being sent to the device.

[0682] Step 8:

[0683] The device displays the received relevant information overlaid on the user's field of view through a visual display mechanism. The user obtains this information in real time and, if necessary, checks the details or takes another action.

[0684] (Example 1)

[0685] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0686] In today's world, a vast amount of information is provided through various media, but most of it is not tailored to the user's current situation or interests. As a result, users spend a lot of time finding the information they need, and the usefulness of the available information is limited. In particular, the ability to efficiently acquire and visually display highly relevant information in real time is a challenge that existing technologies do not adequately address.

[0687] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0688] In this invention, the server includes means for converting and analyzing the user's visual information into digital data, means for extracting keywords from audio data, and means for understanding environmental information based on the user's location information and using it to generate relevant information. This makes it possible to acquire and present information tailored to the user's current interests and location in real time, and to streamline the acquisition of necessary information.

[0689] An "optical sensor" is a device that captures a user's visual information and converts it into digital data.

[0690] "Digital data" refers to data obtained by converting analog information into a format that can be processed electronically.

[0691] "Speech recognition means" refers to technology that collects speech, converts it into digital data, and analyzes it.

[0692] A "keyword" is a word or phrase that indicates an important concept or topic within audio or text.

[0693] "Location measurement means" refers to technologies used to determine a user's current location, and typically utilizes GPS or similar technologies.

[0694] "Environmental information" refers to information related to the user's location and surroundings, and includes location-dependent elements.

[0695] "Related information" refers to additional information generated based on the user's interests and location, and is useful to the user.

[0696] "Visual display means" refers to devices and technologies for presenting digital data to users visually in real time.

[0697] "Storage means" refers to technologies and devices that allow users to store information they need so that they can access it later.

[0698] This invention is implemented based on smart glasses, which are wearable devices used by users on a daily basis.

[0699] The smart glasses, which serve as the terminal, constantly capture the user's visual information using a visual sensor. The visual sensor has the function of digitally converting scenery and objects into image data. The terminal also incorporates a voice recognition system that captures ambient sounds in real time and converts them into digital audio data. Furthermore, the terminal is equipped with a location measurement system that determines the user's current location using GPS or similar means.

[0700] Data is transmitted to a server via the internet. The server applies image recognition algorithms to the received visual data to identify specific objects and landscapes. Generative AI models are used in this process to accurately estimate the user's interests. For audio data, the server also extracts keywords and searches for related information. The related information obtained in this way is displayed in real time on the user's visual display device.

[0701] For example, when a user visits a tourist destination, smart glasses can display the location's history and tourist information. Furthermore, when a user enters a restaurant, they can check recommended dishes on the menu and restaurant ratings in real time. Information can also be saved based on the user's interests for later reference.

[0702] The following are specific examples of prompt statements used in generative AI models:

[0703] "Research and display the history of a specific building within the view the user is seeing."

[0704] "Provide information related to popular music based on the surrounding sounds."

[0705] "Show me reviews of popular restaurants near my current location."

[0706] This allows users to instantly receive appropriate information tailored to their situation, making their daily lives more convenient and efficient.

[0707] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0708] Step 1:

[0709] The device uses optical sensors to capture the user's visual information. The input is the objects and scenery the user is looking at. This information is converted into digital image data. Specifically, the camera continuously takes images according to the refresh rate, and a processor inside the glasses converts them into a format that is easy to handle as digital data.

[0710] Step 2:

[0711] The device uses a microphone to acquire ambient sound. This audio data is then converted into a digital format. The input is ambient noise or conversational speech, and the output is an audio file. Specifically, a high-sensitivity microphone constantly detects sound, and a processor operates to convert it into a digital audio format.

[0712] Step 3:

[0713] The device determines the user's current location using a location measurement method. The input is location information such as GPS data, and the output is the user's coordinates. Specifically, the GPS module receives signals from satellites and updates the coordinates in real time.

[0714] Step 4:

[0715] The device transmits visual data, audio data, and location information to the server. The input is the various digital data generated in steps 1-3, and the output is the data transmitted to the server. In terms of operation, the data is basically uploaded to the cloud server via Wi-Fi or a mobile network.

[0716] Step 5:

[0717] The server analyzes the received visual data using an image recognition algorithm. The input is visual data, and the output is the recognized objects or scenes. Specifically, a machine learning model analyzes the image data, extracts features from it, and performs identification.

[0718] Step 6:

[0719] The server analyzes audio data and extracts keywords. The input is audio data, and the output is the extracted keywords. Specifically, a natural language processing algorithm converts the audio to text and identifies important words and phrases.

[0720] Step 7:

[0721] The server searches for and generates user-related information from analyzed visual, audio, and location data. The input consists of generated keywords and coordinate information, and the output provides the user with relevant information. Specifically, the search algorithm retrieves information from databases and the internet.

[0722] Step 8:

[0723] The device visually displays relevant information received from the server to the user. The input is relevant information from the server, and the output is the content displayed on the smart glasses' screen. Specifically, the display inside the glasses shows the information in real time, which the user can view.

[0724] Step 9:

[0725] Users take action based on the information presented. The input is the visually displayed information, and the output is the user's next action. A concrete example is saving information that the user finds interesting using the buttons on smart glasses.

[0726] (Application Example 1)

[0727] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0728] In modern urban environments, individuals have the potential to access vast amounts of information, but it is difficult to acquire and utilize it immediately. Furthermore, it is not easy for tourists or residents to efficiently obtain relevant information in real time at specific locations. Additionally, the lack of means to obtain additional information using audio and visual interfaces contributes to the inefficiency of information gathering.

[0729] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0730] In this invention, the server includes a sensor for acquiring visual information and means for converting it into digital data, means for analyzing the digital data and estimating the user's interests, and display means for generating relevant information based on the user's interests and displaying it in real time. This makes it possible for users in urban environments to instantly acquire information based on a specific location and obtain additional information through a visual and audio interface.

[0731] "Visual information" refers to information about objects or scenes that attract the user's visual interest or attention.

[0732] A "sensor" is a device that uses optical technology to physically acquire visual information.

[0733] "Digital data" refers to visual and auditory information converted into an analyzable data format.

[0734] "Analysis" is the process of using digital data to estimate users' interests and intentions.

[0735] A "user" is a person who uses the system to obtain visual and auditory information.

[0736] "Related information" refers to additional or useful data that is relevant to the user's interests or the current context.

[0737] "Display means" refers to an interface device for providing relevant information in real time, either visually or audibly.

[0738] A "voice command" is a voice-based instruction used by a user to interact with a system.

[0739] "Location information" refers to data that indicates the user's current geographical location.

[0740] "Context related to environmental information" refers to background information that corresponds to the user's location and surrounding conditions.

[0741] The term "urban environment" refers to the complex social and physical space in which buildings, facilities, and natural landscapes exist.

[0742] To implement this invention, the terminal worn by the user is equipped with an optical sensor for acquiring visual information and a microphone for acquiring audio information. The terminal has an internal processor for converting the acquired visual and audio information into digital data. All of this digital data is transmitted to a server, which is responsible for analyzing the received data.

[0743] On the server, visual information is processed using image recognition algorithms such as TensorFlow and OpenCV to recognize objects. Recognized objects are associated with a database, and appropriate related information is retrieved. Similarly, for audio information, the Google Speech API is used to extract important keywords from the recognized speech and retrieve related information.

[0744] Furthermore, the device is equipped with a standard GPS module, which allows the user's location information to be obtained. This location information is sent to a server and used to generate relevant information based on a specific geographical context. This enables the presentation of information tailored to urban environments.

[0745] The terminal displays relevant information requested in real time within the user's field of view, based on instructions from the server. Using voice commands, users can easily obtain additional information or save specific data.

[0746] For example, if a user is walking through a city and stands in front of a museum, the device can instantly display the building's history and information about current exhibitions. Similarly, when standing in front of a restaurant, it can display the restaurant's menu and ratings, and even allow users to make reservations using voice commands.

[0747] An example of a prompt message might be, "Please tell me how to provide specific information so that when a user visits a museum, its history and exhibition information can be displayed in real time."

[0748] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0749] Step 1:

[0750] The terminal uses optical sensors to acquire the user's visual information. The input is the object or scene the user is viewing, and the output is the visual information converted into digital data. The terminal then transfers this digital data to the server.

[0751] Step 2:

[0752] The server begins analyzing the received visual digital data as input. It performs image recognition processing using TensorFlow or similar tools to recognize objects. The output includes the IDs and features of the recognized objects, which are used for matching against the database.

[0753] Step 3:

[0754] The device uses a microphone to acquire audio information from the user's surroundings. The input is the waveform of nearby sounds, and the output is generated as audio data converted into digital data. The device sends this audio data to the server.

[0755] Step 4:

[0756] The server analyzes the received audio digital data as input. It performs speech recognition using tools such as the Google Speech API to extract important keywords. It generates a list of the extracted keywords as output and uses this list to find related information in the database.

[0757] Step 5:

[0758] The device uses a GPS module to obtain its current location information. It takes a GPS signal as input and outputs longitude and latitude data, which it then sends to the server.

[0759] Step 6:

[0760] The server takes the user's location information as input and generates data to understand the environment context. Based on this, it selects additional location-specific information from the database. The output is a list of location-related information.

[0761] Step 7:

[0762] The server integrates relevant information obtained from image recognition, speech recognition, and location data to create an optimal set of information for the user.

[0763] Step 8:

[0764] The terminal displays relevant information received from the server in the user's field of view in real time. The user receives the visual information and can inquire about further details using voice commands.

[0765] Step 9:

[0766] When a user requests specific information using voice commands, the terminal forwards it to the server, which performs further database searches. The server then sends additional relevant information back to the terminal and displays it to the user.

[0767] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0768] This invention provides users with highly personalized information by incorporating an emotion engine into a smart glasses system that acquires and analyzes the user's visual, audio, and location information in real time. The system aims to effectively support users in their daily lives by presenting appropriate information according to their behavior, interests, and emotional state.

[0769] Specifically, the device is equipped with optical sensors that constantly capture the objects and scenery the user is looking at, converting the visual information into digital data. This data is used for analysis to estimate the user's interests. Additionally, a voice recognition system is incorporated to collect and analyze sounds from the user's surroundings. This allows for a more specific identification of the user's interests.

[0770] In addition, the device uses location measurement methods to determine the user's current location. This makes it possible to provide information relevant to the user's location, taking into account the environmental context of that location.

[0771] The emotion engine uses this sensor data to estimate the user's emotions. For example, it analyzes the user's voice tone and facial expressions to determine their current emotional state. The server processes the data sent by the user and, based on the emotion engine's estimation results, generates relevant information considering what information the user needs.

[0772] This relevant information is transmitted to the device in real time and presented to the user via visual display. Because the information most relevant to the user's emotional state and interests is displayed directly in their field of vision, they can intuitively access the information.

[0773] For example, if a user is moved while visiting a tourist destination, the emotion engine recognizes that emotion and provides more detailed historical information and information about related works of art. Furthermore, if the user is feeling stressed, it can offer relaxation advice and guide them to quiet places.

[0774] Thus, the present invention provides a new means of improving the user experience by dynamically providing information optimized for the user through the use of sentiment analysis.

[0775] The following describes the processing flow.

[0776] Step 1:

[0777] The device uses optical sensors to capture the user's field of view in real time and converts the visual information into digital data. This records the objects and locations that are visible.

[0778] Step 2:

[0779] The device uses voice recognition to acquire ambient sounds. The audio is converted into digital data, and basic preprocessing is performed to remove background noise.

[0780] Step 3:

[0781] The device uses location measurement means to determine the user's current location. The acquired location information is used to derive contextual information related to the environment.

[0782] Step 4:

[0783] The device utilizes an emotion engine to estimate the user's emotional state from visual and audio data. Visual data is used to analyze facial expressions, and audio data is used to evaluate tone and speed.

[0784] Step 5:

[0785] The terminal compresses and encrypts the collected data before sending it to the server. A secure protocol is used for this transmission.

[0786] Step 6:

[0787] The server analyzes the received visual, audio, location, and emotion data. In particular, it uses the emotion engine's estimated emotional state as a reference to extract information that takes into account the user's interests and environmental context.

[0788] Step 7:

[0789] The server generates relevant information based on the analysis results. This information is optimized for the user's interests and emotional state, and includes appropriate action items and suggestions where necessary.

[0790] Step 8:

[0791] The terminal receives relevant information transmitted from the server and presents it to the user in real time through visual display means. Based on this information, the user can intuitively decide on their next action.

[0792] (Example 2)

[0793] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0794] Traditional information delivery systems struggled to accurately grasp users' interests and emotions, resulting in the problem that the information provided did not always truly match user needs. Furthermore, real-time information generation and delivery were inefficient, preventing the presentation of information instantly tailored to the user's needs. This limited the user experience and restricted practicality.

[0795] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0796] In this invention, the server includes means for converting the user's visual information into digital data, means for analyzing audio data and extracting keywords, and means for generating relevant information based on the user's location information and emotions. This makes it possible to provide information tailored to the user's interests and emotional state in real time.

[0797] An "optical detection device" is a device that captures the scene or object that the user is looking at and converts that visual information into digital data.

[0798] An "acoustic recognition device" is a device that acquires ambient sound and converts that sound into digital data that can be analyzed.

[0799] A "spatial position measurement device" is a device used to acquire the user's current location and to understand the context of the environment based on that location information.

[0800] An "emotion determination method" is a means of estimating a user's emotional state by analyzing the user's voice tone and facial expressions obtained from visual information based on acquired sensor data.

[0801] A "visual display device" is a device that visually presents relevant information generated from a server to the user, enabling them to intuitively receive the information.

[0802] This invention is a system that enables the provision of more personalized information to users. This system is based on a smart device that acquires and analyzes the user's visual information, audio information, and location information in real time. The terminal is equipped with an optical detection device, an acoustic recognition device, and a spatial position measurement device.

[0803] The device uses an optical detection device to capture the user's visual environment, converting the objects and scenery the user is seeing into digital data. An acoustic recognition device acquires ambient sounds and converts them into analyzable digital data, allowing for a deeper exploration of the user's interest in the content. Furthermore, a spatial positioning device acquires the user's current location and uses that location information to understand the relevant environmental context.

[0804] The server collects this sensor data and utilizes a generative AI model to estimate the user's emotions using emotion determination tools. Based on the estimated emotions and the user's interests, the server generates appropriate relevant information. This relevant information is presented to the user in real time via a visual display device.

[0805] For example, if a user shows an expression of enjoyment while viewing an exhibit in a museum, the server can capture that emotion and generate detailed information about the related exhibit and the story behind it, which can then be presented to the user on their device. Furthermore, if a user is experiencing stress, the device can provide relaxing music or suggest quiet locations.

[0806] A concrete example of a prompt message would be, "The user's current emotion is joy. Generate relevant tourist information." This enables the system to instantly provide information that is tailored to the user's emotions and interests.

[0807] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0808] Step 1:

[0809] The device captures the user's visual environment information using an optical detection device. Visual information is collected as input and digitally converted into image data. An image recognition algorithm is applied to generate identification results of the objects and scenes the user is viewing. This process makes it possible to understand the user's current visual focus.

[0810] Step 2:

[0811] The device collects ambient sound using an acoustic recognition device. Environmental sounds are acquired in real time as input and converted into audio data. After speech language recognition, keywords are extracted, and the output is a list of conversations and audio elements of interest. This process allows the user to identify topics of interest.

[0812] Step 3:

[0813] The terminal uses a spatial positioning device to acquire the user's current location. The input is location data, which is used to collect and analyze contextual information about the surrounding environment. The output generates geographically relevant information and information about events and spots related to that location. This process enables the provision of information tailored to the user's environment.

[0814] Step 4:

[0815] The server estimates the user's emotions using emotion determination tools based on collected visual, audio, and location information. It receives and analyzes the user's voice tone and image data as input. It then utilizes a generative AI model to output the emotional state. This process ensures the accurate generation of information corresponding to the user's feelings.

[0816] Step 5:

[0817] The server generates relevant information from emotions and interests. It uses estimated emotion and interest identification data as input to generate prompt sentences and then uses an AI model to produce information. The output is user-optimized information and recommendations. This allows users to receive information tailored to their individual needs.

[0818] Step 6:

[0819] The terminal presents relevant information received from the server to the user via a visual display. The input is generated information data, displayed on the screen in real time. Based on this information, the user can select their next action. This process allows the user to obtain visually intuitive information.

[0820] (Application Example 2)

[0821] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0822] A challenge exists in that users often struggle to obtain appropriate information based on their individual emotional states and interests when engaging in daily life or sightseeing activities. Currently, users must search for information themselves, which can lead to wasted time and effort, and potentially a less enriching experience. Therefore, there is a need for a system that dynamically considers users' emotions and interests and provides relevant information in real time.

[0823] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0824] In this invention, the server includes means for converting the user's visual information into digital data using an optical sensor, means for acquiring the user's voice and extracting keywords, and means for analyzing the user's emotional state and providing relevant information based on those emotions. This makes it possible to provide information based on the user's emotions and interests.

[0825] An "optical sensor" is a device used to acquire a user's visual information and convert it into digital data.

[0826] "Digital data" refers to data obtained by converting analog visual and auditory information into a format that can be processed by machines.

[0827] "Means for estimating interests" refers to methods or devices that analyze a user's visual and auditory information to determine what the user is interested in.

[0828] "Emotional analysis means" refers to a method or apparatus for analyzing a user's voice and visual expressions to estimate their emotional state.

[0829] "Visual display means" refers to a device or method for displaying generated relevant information in real time within the user's field of vision.

[0830] "Voice recognition means" refers to a device or method that acquires ambient sound and converts it into digital data.

[0831] "Means for extracting keywords" refers to a method or device for selecting important words or phrases from digital data obtained through speech recognition.

[0832] "Location measurement means" refers to a device or method for determining the user's current location.

[0833] "Environmental context" refers to information related to the user's location and surrounding environment.

[0834] This invention is a system that provides users with appropriate information in real time based on their individual emotional state and interests while they engage in daily life activities and sightseeing. This system is built using a terminal such as smart glasses and a server connected to it.

[0835] The device is equipped with an optical sensor, a voice recognition device, and a location measurement device. The optical sensor acquires the user's visual information and converts it into digital data. The voice recognition device records ambient sounds and analyzes them to extract keywords. The location measurement device determines the user's current location.

[0836] The server receives this data and performs advanced data analysis using a generative AI model. Specifically, it estimates the user's interests and emotional state from visual and audio data, as well as location information, and generates relevant information based on that. This relevant information is often obtained from databases on the internet.

[0837] The generated information is presented to the user as an overlay of the real world through the device's visual display. Users do not need to actively search for information; they can obtain it through natural interactions derived from sight and sound.

[0838] For example, consider a scenario where a user visits a tourist destination and is moved by a historical monument. This system can recognize the user's emotion through sentiment analysis and display detailed historical information related to that monument within the user's field of view.

[0839] Examples of prompts generated by the AI ​​model include, "When the user is emotional, suggest relevant information to display," and "Generate historical information related to the emotions of the current location." This allows for a highly personalized and enriched user experience.

[0840] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0841] Step 1:

[0842] The device uses optical sensors to capture the user's visual information and converts that data into digital data. The input is visual information, and the output is the digital format of the visual data. This allows the device to obtain information about the objects and scenery the user is seeing.

[0843] Step 2:

[0844] The device uses a voice recognition device to acquire sound from the user's surroundings and converts that audio data into a digital format. The input is audio information, and the output is audio data in digital format. This allows the device to understand the user's ambient sounds and conversation content.

[0845] Step 3:

[0846] The device uses a location measurement device to determine the user's current location. The input is location sensor data, and the output is the user's current location information. This makes it clear where the user is.

[0847] Step 4:

[0848] The server receives visual data, audio data, and location information, and analyzes this data using a generative AI model. The input is visual data, audio data, and location information, and the output is information that estimates the user's interests and emotions. This allows the system to determine what interests and emotions the user currently has.

[0849] Step 5:

[0850] The server uses a generative AI model to generate relevant information based on estimated interests and emotions. The input is interest and emotion information, and the output is relevant information provided to the user. This ensures that the user receives information optimized for their needs.

[0851] Step 6:

[0852] The server transmits the generated relevant information to the terminal in real time and presents it to the user via a visual display. The input is the relevant information, and the output is the information displayed in the user's field of vision. This allows the user to intuitively understand the information they need.

[0853] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0854] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0855] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0856] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0857] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0858] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0859] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0860] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0861] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0862] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0863] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0864] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0865] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0866] 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.

[0867] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0868] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0869] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0870] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0871] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0872] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0873] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0874] The following is further disclosed regarding the embodiments described above.

[0875] (Claim 1)

[0876] It includes an optical sensor for acquiring the user's visual information, and means for converting the visual information into digital data,

[0877] A means for analyzing the aforementioned digital data and estimating user interests,

[0878] A visual display means that generates and displays relevant information based on the user's interests in real time,

[0879] A system that includes this.

[0880] (Claim 2)

[0881] The system according to claim 1, comprising: a speech recognition means for acquiring a user's voice and converting it into digital data; and a means for analyzing the digital data and extracting keywords.

[0882] (Claim 3)

[0883] The system according to claim 1, further comprising a location measurement means for acquiring the user's location information, and a means for understanding the environmental context based on the location information and using it to generate the related information.

[0884] "Example 1"

[0885] (Claim 1)

[0886] It includes an optical sensor for acquiring the user's visual information, and means for converting the visual information into digital data,

[0887] A means for analyzing the aforementioned digital data and estimating user interests,

[0888] A speech recognition means that acquires the user's voice and converts it into digital data,

[0889] A means for analyzing the aforementioned digital data and extracting keywords,

[0890] A location measurement means for obtaining the user's location information,

[0891] Means for understanding the environmental context based on the aforementioned location information and for generating the aforementioned related information,

[0892] A visual display means that generates and displays relevant information based on the user's interests and location information in real time,

[0893] A system that includes this.

[0894] (Claim 2)

[0895] The system according to claim 1, comprising means for transmitting visual and audio information collected in real time to a server via the Internet and for retrieving relevant information using algorithms for analyzing this data.

[0896] (Claim 3)

[0897] The system according to claim 1, comprising a storage means for saving information that a user has shown interest in and making it accessible at a later date.

[0898] "Application Example 1"

[0899] (Claim 1)

[0900] A sensor for acquiring visual information and means for converting the visual information into digital data,

[0901] A means for analyzing the aforementioned digital data and estimating the user's interests,

[0902] A display means that generates and displays relevant information based on the user's interests in real time,

[0903] A recognition means for acquiring sound and converting it into digital data, and a means for analyzing the digital data and extracting important words,

[0904] A means for measuring location information, and a means for understanding the context of environmental information based on the location information and using it to generate the related information,

[0905] A means of presenting location-based information in an urban environment and providing additional information in response to visual and auditory inquiries,

[0906] A system that includes this.

[0907] (Claim 2)

[0908] The system according to claim 1, comprising means for requesting or selecting additional information based on voice commands.

[0909] (Claim 3)

[0910] The system according to claim 1, further comprising means for providing location-specific place information, historical information, and information on surrounding facilities.

[0911] "Example 2 of combining an emotion engine"

[0912] (Claim 1)

[0913] It includes an optical detection device for acquiring the user's visual information, and a mechanism for converting the visual information into digital data,

[0914] A device that analyzes the aforementioned digital data and estimates the user's interests,

[0915] An acoustic recognition device that acquires the user's voice and converts it into digital data,

[0916] A device for analyzing the aforementioned digital data and extracting keywords,

[0917] A spatial position measurement device for acquiring user location information,

[0918] A device that understands the environmental context based on the aforementioned location information and is used to generate the aforementioned related information,

[0919] We estimate the user's emotions using emotion determination tools.

[0920] A visual display device that generates and displays relevant information based on the user's emotions and interests in real time,

[0921] A system that includes this.

[0922] (Claim 2)

[0923] By generating information, we create information that is best suited to the user.

[0924] The system according to claim 1, comprising a method for providing the generated information.

[0925] (Claim 3)

[0926] The system according to claim 1, comprising means for detecting changes in a user's emotions and dynamically adjusting the generation and provision of information based on said changes in emotions.

[0927] "Application example 2 when combining with an emotional engine"

[0928] (Claim 1)

[0929] It includes an optical sensor for acquiring the user's visual information, and means for converting the visual information into digital data,

[0930] A means for analyzing the aforementioned digital data and estimating user interests,

[0931] A sentiment analysis tool that analyzes the user's emotional state and provides relevant information based on that emotion in real time,

[0932] A visual display means that generates and displays relevant information based on the user's interests and emotions in real time,

[0933] A system that includes this.

[0934] (Claim 2)

[0935] A voice recognition means for acquiring user voice and converting it into digital data, and a means for analyzing the digital data and extracting keywords,

[0936] A means for generating relevant information based on extracted keywords and sentiment analysis results,

[0937] The system according to claim 1, including the following:

[0938] (Claim 3)

[0939] A location measurement means for obtaining the user's location information, and an understanding of the environmental context based on the location information,

[0940] Means used to generate the aforementioned related information,

[0941] The system further includes means for dynamically providing information according to the user's location and emotions, and displaying it via visual display means.

[0942] The system according to claim 1. [Explanation of Symbols]

[0943] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. It includes an optical sensor for acquiring the user's visual information, and means for converting the visual information into digital data, A means for analyzing the aforementioned digital data and estimating user interests, A visual display means that generates and displays relevant information based on the user's interests in real time, A system that includes this.

2. The system according to claim 1, comprising: a speech recognition means for acquiring a user's voice and converting it into digital data; and a means for analyzing the digital data and extracting keywords.

3. The system according to claim 1, further comprising: a location measurement means for acquiring the user's location information; and a means for understanding the environmental context based on the location information and using it to generate the related information.

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