system

Abstract

We provide the system. [Solution] An input means for inputting video data and audio data, A generation means that analyzes the video and audio data and generates physical effects corresponding to the scene, A transmission means for sending the generated physical effect data to the user's sensory device, 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 persona chatbot control method performed by at least one processor, 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] In modern home movie viewing, there is a problem that it is difficult to obtain a overwhelming immersive feeling as provided in movie theaters or attraction facilities. Also, there is a problem that it is difficult for users with limitations in vision or hearing to fully enjoy movies and videos.

Means for Solving the Problems

[0005] This invention provides an immersive system that delivers an immersive experience similar to a movie theater or amusement park, even in the home, by inputting video and audio data, analyzing it to generate vibration and wind data corresponding to the scene, and transmitting these to the user's sensory device. The generated vibrations are felt through a bone conduction device, and the wind is provided through a fan, making it possible to deliver the emotional impact of a movie to users with visual or auditory limitations.

[0006] "Video data" refers to digital data that includes visually displayed image information.

[0007] "Audio data" refers to digital data that contains information about sounds that are output audibly.

[0008] "Input means" refers to functions or devices that receive data from external sources.

[0009] "Analysis" is the process of processing data and understanding or classifying its content.

[0010] "Generation means" refers to a function or device that creates new data or effects based on the analysis results.

[0011] "Physical effects" refer to sensory stimuli such as vibrations and wind that affect senses other than sight and hearing.

[0012] "Transmission means" refers to a function or device that transmits data or commands to other devices or equipment.

[0013] A "sensory device" refers to a device that allows users to directly experience physical effects.

[0014] "Vibration data" refers to data that includes control information for generating vibrations.

[0015] "Wind power data" refers to data that includes control information for generating wind.

[0016] A "bone conduction device" is a device for transmitting sound through a user's bone to the inner ear via vibration.

[0017] A "blower device" is a device for generating wind and sending it to an object.

Brief Description of the Drawings

[0018] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of a data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when combined with an emotion engine.

Embodiments for Carrying Out the Invention

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0022] 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.

[0023] 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 disk (e.g., hard disk), or magnetic tape, etc.

[0024] 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).

[0025] 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."

[0026] [First Embodiment]

[0027] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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".

[0039] This invention provides a system that allows users to experience watching movies at home as if it were an attraction. This system takes video and audio data as input, analyzes it, generates corresponding physical effects, and provides the user with a realistic experience.

[0040] Specifically, when a user plays a movie, the video and audio data are input to the device. The device sends this data to a server, which uses AI to analyze it. This analysis generates physical effects such as vibrations and wind corresponding to specific scenes.

[0041] The server transmits the generated vibration and wind data to the terminal. The terminal receives this data and sends instructions to the user's wearable sensory devices (e.g., bone conduction devices or fan devices). The bone conduction device can generate vibrations through the user's bones based on the vibration data, and the fan device can send air based on the wind data.

[0042] For example, if there is an explosion scene in a movie, the server detects the video and audio, instantly generates strong vibration data, and sends it to the terminal. The terminal then instructs the bone conduction device with this data, and the user experiences the vibrations of the explosion. In scenes with strong winds, a fan sends out a corresponding breeze, providing a more realistic sensation.

[0043] A key feature of this system is that it allows users with visual or auditory limitations to experience the story and emotions of a film. Through physical feedback such as vibration and wind, an emotionally engaging movie experience can be achieved without relying on sight or hearing. In this way, the system according to the present invention provides new value to home movie viewing.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The user plays a movie on their device. The device prepares to retrieve the movie's video and audio data.

[0047] Step 2:

[0048] The terminal sends the acquired video and audio data to the server. The server receives this data.

[0049] Step 3:

[0050] The server uses AI to analyze the received data. Based on the analysis results, it identifies the necessary physical effects based on the characteristics of each scene.

[0051] Step 4:

[0052] Based on the analysis results, the server generates vibration and wind data tailored to the scene.

[0053] Step 5:

[0054] The server sends the generated vibration and wind data to the terminal. The terminal receives it.

[0055] Step 6:

[0056] The terminal sends instructions to bone conduction devices and air blowers based on the received data. This generates vibrations and wind in the user's sensory device.

[0057] Step 7:

[0058] Users can experience realistic immersion in movie scenes by feeling vibrations and wind.

[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] There is a need to provide technologies that allow users to have more realistic and immersive experiences without relying on the visual and auditory information of digital content. However, existing systems have the challenge of preventing users with visual or auditory limitations from fully experiencing the emotions and excitement that content can evoke.

[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 an information input means for inputting visual and auditory information of digital content, a data generation means for analyzing the information using a generation AI model and generating physical action data corresponding to the scene, and an information transmission means for transmitting the generated data to the user's input device via prompt messages. This makes it possible for users to realistically experience the emotions and excitement of digital content through physical feedback, even if they have limitations in their sight or hearing.

[0064] "Information input means" refers to devices or programs for receiving visual and auditory information from digital content.

[0065] A "generative AI model" is an artificial intelligence algorithm used to analyze data and generate output that corresponds to a specific scene.

[0066] "Data generation means" refers to a device or program that has the function of analyzing input visual and auditory information and creating physical action data based on that analysis.

[0067] "Information transmission means" refers to a device or program that has the function of transmitting generated physical action data to the user's device through prompt messages.

[0068] "Physical action data" refers to the data necessary to provide users with physical feedback such as vibration and wind.

[0069] A "prompt statement" is a form of instruction used to transmit generated physical action data to the user's device.

[0070] "External devices" refer to devices that are controlled to provide physical feedback to the user, and specifically include bone conduction devices and air blowers.

[0071] This invention provides a system that allows users to experience digital content through feedback other than visual and auditory means. This system includes information input means, data generation means, information transmission means, and external devices.

[0072] The server has information input means for receiving visual and auditory information from movies and other digital content that users play in their homes. The hardware used includes streaming devices and digital media players, and in particular, it utilizes conventional video transmission technologies.

[0073] The server's data generation mechanism uses a generation AI model to analyze received visual and auditory information and generate physical effect data corresponding to specific scenes. This model quickly identifies specific scenes in a film (e.g., explosion scenes, strong wind scenes) and generates appropriate vibration and wind data accordingly.

[0074] The terminal has a means of transmitting information, through which it sends generated physical action data as prompt messages to the user's device. The user's device includes bone conduction devices and ventilation devices, through which the user receives physical feedback.

[0075] For example, if an explosion scene occurs in a movie, the server uses an AI model to identify the explosion. Next, it generates a prompt message saying, "Generate strong vibration data corresponding to the explosion scene," and sends it to the terminal. As a result, the user can realistically experience the vibrations of the explosion through a bone conduction device. In the case of a scene with a lot of wind, a prompt message saying, "Generate wind force data corresponding to the wind scene," is generated, and the user can feel the actual wind through a fan.

[0076] This system will enable users with visual or auditory impairments to have a richer experience of digital content.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The user plays a movie at home. This inputs video and audio data into the device. The device then sends this input data to the server. At this point, the input is raw video and audio data, and sending it to the server makes it ready for processing.

[0080] Step 2:

[0081] The server analyzes the video and audio data received from the terminal using a generating AI model. This analysis involves data processing and calculations to identify physical effects specific to the scene. This allows the server to identify, for example, a scene containing an explosion or wind.

[0082] Step 3:

[0083] The server uses the analysis results to generate physical action data corresponding to the identified scene. In this process, the generating AI model creates specific vibration and wind data based on prompt statements. For example, a prompt such as "Generate strong vibration data" is used in this process.

[0084] Step 4:

[0085] The generated physical action data is sent from the server to the terminal. The input is physical action data corresponding to the scene, and the output is a specific control signal received by the terminal. This enables control in the next step.

[0086] Step 5:

[0087] The terminal uses the received physical action data to send instructions to the user's external devices (e.g., bone conduction devices or fan devices). Specifically, the terminal sends vibration control signals to the bone conduction device and wind control signals to the fan device.

[0088] Step 6:

[0089] Through these external devices, users experience vibrations and wind that correspond to scenes in the film. This allows them to receive physical feedback from the film in real time, enabling a deeper experience even for those with visual or auditory limitations.

[0090] (Application Example 1)

[0091] 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."

[0092] In home movie viewing, there is a need for devices that can provide a highly immersive viewing experience that includes not only visual and auditory stimuli but also physical sensations. Conventional video media rely on sight and sound, and while physical feedback corresponding to the content of the scene is necessary to enhance the sense of presence, methods for providing this are not adequately available.

[0093] 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.

[0094] In this invention, the server includes receiving means for inputting video and audio information, calculation means for analyzing the video and audio information and generating effects corresponding to the scene, and transmission means for transmitting the generated effect data to the experience device. This enables the user to obtain a real-time experience corresponding to the content of the movie or video.

[0095] "Visual information" refers to data that records or transmits the visual content of videos and movies in digital format.

[0096] "Acoustic information" refers to data that records or transmits sound information, such as speech and music, in digital format, which is perceived through hearing.

[0097] "Receiving means" refers to a method or device for acquiring video and audio information from an external source and incorporating it into an internal system.

[0098] "Analysis" is the process of examining input data in detail, understanding its content and structure, and classifying or processing it according to a specific purpose.

[0099] "Computational means" refers to a method or apparatus that includes algorithms or processes for processing data and generating results according to a specific purpose.

[0100] "Effect" refers to physical stimuli such as vibrations or wind that are felt by the user in a specific scenario.

[0101] "Generating" refers to the process of creating new data or information based on specific conditions or input data.

[0102] "Transmission means" refers to the route or method for transmitting generated data to other devices or equipment.

[0103] A "sensory device" is a device used by users to feel physical stimuli, such as vibrations or wind, directly providing the user with the experience.

[0104] The system for carrying out the present invention includes various components for analyzing video and audio information and providing the user with a physical experience based on the analysis results.

[0105] The server receives video and audio information. The received information is analyzed using a generative AI model. This analysis calculates effect information corresponding to a specific scene. This effect information includes physical stimuli such as vibration and wind, thereby generating a sensory experience appropriate to the scene.

[0106] The effect information generated from the analysis results is transmitted to the terminal. The terminal receives this information and sends instructions to the sensory device being used by the user. This sensory device includes a vibration transmission device and a fan, and is configured to provide physical feedback according to the effect data. Data transmission and control are performed in real time using communication technologies such as Bluetooth.

[0107] As a concrete example, consider a scenario where a car chase scene appears while a user is watching a movie. Analysis of this scene generates strong vibrations and wind effects, which are then immediately delivered to the user. As a result, the user can experience a sense of immersion as if they were actually there. Furthermore, the analysis can use prompts such as, "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car speeds over a bump," to generate an effective sensory experience.

[0108] In this way, the present invention provides a next-generation video viewing experience that allows for a high level of realism and immersion even within the home.

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The server inputs video and audio information received from the terminal. This information is digital data of videos and movies and includes visual and auditory information. The server inputs this data into a generating AI model, which then analyzes the data according to the prompts.

[0112] Step 2:

[0113] The server analyzes the received video and audio information using a generative AI model. Using the prompt "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car goes over a bump at high speed," it extracts features from each scene and calculates data related to physical effects. The output of this step is vibration and wind data corresponding to the scene.

[0114] Step 3:

[0115] The server transmits the generated vibration and wind data to the terminal. This transmission is performed in real time using communication technologies such as Bluetooth and Wi-Fi. The output data is used by the terminal to provide control instructions to the user's sensory device.

[0116] Step 4:

[0117] The terminal sends specific control signals to the user's sensory device based on vibration and wind data received from the server. Here, the vibration transmission device adjusts the vibration intensity, and the fan adjusts the wind speed. The input for this step is physical effect data from the server, and the output is the physical stimulus generated by the user's sensory device.

[0118] Step 5:

[0119] The user receives physical stimuli generated through the sensory device, experiencing immersion in the movie or video. At this stage, the specific physical sensations the user will experience are clarified. The input in this step is the physical experience of vibration and wind provided to the user, and the output is the user's satisfaction with the experience.

[0120] 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.

[0121] This invention realizes a system that provides a deeper immersive experience when watching movies by recognizing the user's emotions and adjusting physical effects according to the movie scenes. By using an emotion engine that analyzes the user's emotions in real time and provides feedback, it is possible to customize the optimal experience for each individual user.

[0122] To explain in more detail, when a user plays a movie, the device sends video and audio data to the server. At the same time, the device sends the user's facial expressions and voice to an emotion engine, which analyzes the user's emotions. The server receives this data, analyzes it using AI, and generates physical effects appropriate to the movie scene.

[0123] The generated physical effect data is transmitted to the terminal, which then sends commands to the user's sensory devices, such as bone conduction devices or ventilation devices. Here, based on the analysis results of the emotion engine, the intensity and nature of the physical effects can be dynamically adjusted. For example, if the system recognizes that the user is feeling tense in a particular scene, the vibrations can be enhanced to match that scene, further increasing immersion.

[0124] For example, if a user is surprised during an action scene, the emotion engine detects this and instructs the server to increase the intensity of the vibrations. Conversely, if the system detects that the user is relaxed during a calm scene, it reduces the intensity of the vibrations and wind to maintain a quiet environment. This allows users to become emotionally immersed in the movie's storyline and enjoy a personalized experience.

[0125] Thus, the present invention aims to significantly improve the viewing experience and deepen the impression of a film by providing physical effects that respond to the user's emotions. The entire system is equipped with technical elements that enhance the user's sensitivity to emotions and allow them to enjoy the content of the film even more.

[0126] The following describes the processing flow.

[0127] Step 1:

[0128] The user plays the movie on their device. The device immediately prepares to send the movie's video and audio data to the server.

[0129] Step 2:

[0130] The device captures the user's facial expressions with its camera and picks up their voice with its microphone. This data is then sent to the emotion engine.

[0131] Step 3:

[0132] The server receives video and audio data transmitted from the terminal and analyzes it using AI. This allows it to determine whether physical effects are necessary for each scene in the film.

[0133] Step 4:

[0134] The emotion engine analyzes the user's facial expression data and voice data to recognize the user's current emotional state. This information is then sent back to the server.

[0135] Step 5:

[0136] The server generates vibration and wind data based on the movie scene analysis results and emotion data from the emotion engine. This generated data is then adjusted to match the user's emotions.

[0137] Step 6:

[0138] The server transmits the generated vibration and wind data to the terminal. Based on the received data, the terminal sends specific instructions to the bone conduction device and the fan.

[0139] Step 7:

[0140] Based on instructions transmitted by the device, the sensory device provides the user with appropriate physical effects. Users can experience vibrations and wind tailored to the scene, allowing them to become immersed in the visual experience.

[0141] (Example 2)

[0142] 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 will be referred to as the "terminal".

[0143] Traditional movie viewing systems primarily focus on visual and auditory experiences, lacking the ability to customize the experience based on the user's emotions. Therefore, there is a need to provide physical effects that respond to the user's emotional state to create a more immersive movie experience.

[0144] 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.

[0145] In this invention, the server includes input means for inputting video and audio information, generation means for analyzing the video and audio information and generating physical effects corresponding to the scene, emotion analysis means for acquiring and analyzing the user's emotional information in real time, transmission means for transmitting the generated physical effect information to the user's bodily sensory device, and adjustment means for dynamically adjusting the intensity and properties of the physical effects based on the results of the emotion analysis means. This makes it possible to provide a personalized movie experience that responds to the user's emotions and enhances immersion.

[0146] "Visual information" refers to digital data that includes visual elements, such as movies and video content.

[0147] "Audio information" refers to sound data that is played in sync with the video, and includes dialogue, music, and sound effects.

[0148] "Input means" refers to hardware or software used to input video and audio information into the system.

[0149] "Generation means" refers to devices or algorithms that analyze input video and audio information and create physical effects based on the results.

[0150] "Emotional information" refers to data that indicates the user's psychological state, and is obtained through facial expression analysis and voice analysis.

[0151] "Emotional analysis means" refers to hardware or software used to acquire and analyze a user's emotional information.

[0152] "Physical effect information" refers to data used to generate sensory experiences such as touch and wind that are presented to the user.

[0153] "Transmission means" refers to a device or protocol that has a communication function for transmitting generated physical effect information to the user's sensory device.

[0154] "Adjustment means" refers to a device or software equipped with the function of dynamically changing the intensity and nature of physical effects based on analyzed emotions.

[0155] A "body sensory device" is a device that presents physical effects to the user, and includes bone conduction devices and air blowers.

[0156] The present invention aims to analyze a user's emotional information based on visual and auditory data while the user is watching a movie, and to provide corresponding physical effects. This system consists of a terminal for inputting "video information" and "audio information," a server for receiving this data, and a user's bodily sensory device.

[0157] The device transmits video and audio information to the server in real time during movie playback. This process utilizes existing streaming technology to achieve high-speed data transfer. Furthermore, to analyze the user's emotions, the device uses its camera and microphone to collect the user's facial expressions and voice, and transmits this data to an emotion analysis system.

[0158] The server generates physical effects appropriate to the scene using AI-powered generation methods based on data transmitted from the terminal. The generated physical effect information is transmitted to the user's bodily sensory device via Bluetooth or Wi-Fi through the terminal.

[0159] This allows users to experience physical effects that match the scenes in the movie. For example, during action scenes, they can feel strong vibrations through the bone conduction device, and during calmer scenes, they can feel a gentle breeze through the fan.

[0160] As a concrete example, the following is an example of a prompt: "Please tell me how to set the vibration intensity when the user is surprised." This prompt is used to obtain guidance for the system to effectively adjust the physical effects using a generative AI model.

[0161] As described above, the present invention provides a system that achieves a deeper sense of immersion by offering a personalized movie experience that responds to the user's emotions.

[0162] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0163] Step 1:

[0164] The terminal sends video and audio information to the server when movie playback begins. Specifically, the terminal buffers video and audio data using a streaming protocol via movie playback software and performs input processing to transfer it to the server in real time. As a result, the transmission of video and audio data from the terminal to the server is output.

[0165] Step 2:

[0166] The device uses a camera and microphone to collect user emotional information. The camera records and analyzes the user's facial expressions, and the microphone records and analyzes the user's voice and tone. This collects raw data about the user's current emotional state. This input data is sent to an emotion analysis device for analysis, and the user's emotional information is output.

[0167] Step 3:

[0168] The server analyzes video, audio, and emotional information received from the terminal. Using AI-powered generation methods, it calculates data to generate physical effects corresponding to movie scenes. The inputs here are video data, audio data, and emotional data, and the output is appropriate physical effect data for each scene. The server analyzes the characteristics of the scene and selects the effect that best matches the user's emotional state.

[0169] Step 4:

[0170] The server transmits the generated physical effect data to the terminal. Based on the received data, the terminal sends control signals to the user's bodily sensory devices. In this process, data communication protocols (e.g., Bluetooth, Wi-Fi) are used to send signals to the devices and generate outputs that realize the physical effect. Specifically, the terminal sends vibration signals to the bone conduction device and airflow signals to the wind power device.

[0171] Step 5:

[0172] Users experience physical effects from a bodily sensory device based on commands sent from the terminal. They receive emotionally relevant feedback, resulting in an immersive movie-watching experience. Users also receive tactile and wind feedback, further immersing themselves in the film's storyline.

[0173] (Application Example 2)

[0174] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0175] This project aims to address the challenge of a lack of methods and systems that allow users to more deeply experience the emotions associated with each scene and achieve a greater sense of immersion during movie viewing. Furthermore, there is a need for technology that can analyze user emotions in real time and provide appropriate physical feedback accordingly.

[0176] 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.

[0177] In this invention, the server includes receiving means for receiving video and audio information, analysis means for analyzing the video and audio information and generating user emotions according to the scene using an AI algorithm, and control means for generating physical effects based on the analysis results and commanding the user's sensory device to perform these physical effects. As a result, the user can experience vibrations and airflow corresponding to their emotions in each scene of the movie, enabling an immersive and personalized viewing experience.

[0178] "Visual and audio information" refers to the visual and auditory data obtained from movies and video content that users watch.

[0179] "Receiving means" refers to components of devices or software that have the function of acquiring video and audio information from an external source.

[0180] "Analysis means" refers to the process of utilizing generative AI algorithms to identify and analyze the user's emotions using received video and audio information.

[0181] A "generative AI algorithm" is an algorithm that uses artificial intelligence technology to analyze data and identify user emotions.

[0182] A "control means" is a function that commands the user's sensory device to produce physical effects based on information obtained by the analysis means.

[0183] "Physical effects" refer to feedback such as vibrations and airflow that users can experience, and are provided to enhance the viewing experience.

[0184] A "sensory device" is a device or equipment that allows users to receive physical effects through touch and other sensory experiences, in addition to sight and hearing.

[0185] To implement this invention, the system mainly consists of a server, a terminal, and a user.

[0186] The server is equipped with a receiving device that receives video and audio information. This allows data from movies and video content to be transmitted from the terminal to the server. The server uses a generative AI algorithm to analyze the received data, performing sentiment analysis. Specifically, it uses Python's OpenCV and Dlib to capture the user's facial expressions and the Google® Cloud Speech-to-Text API to convert the audio data into text. Based on this, the server analyzes the user's emotions in real time.

[0187] Based on the analyzed emotional data, the server generates physical effects and sends control commands to the terminal. These control commands are sent to the user's sensory device via a microcontroller such as an Arduino. This sensory device includes bone conduction devices and airflow generators, allowing the user to experience vibrations and wind corresponding to scenes in the movie.

[0188] For example, if a user feels surprised during an action scene, the generative AI model detects this emotion and sends a command to the HMD (head-mounted display) to enhance vibrations. On the other hand, if the system recognizes that the user is relaxed during a quiet scene, it personalizes the viewing experience by recreating a gentle breeze through a fan.

[0189] An example of a prompt message would be, "If the system detects that the user is excited by an action scene in a movie, activate the vibration device more strongly." This allows the generative AI model to provide appropriate feedback based on the user's emotions.

[0190] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0191] Step 1:

[0192] The device acquires video and audio information from the user. This information is sent to the server as input data. For example, this includes facial expression data acquired by the device's camera and audio data acquired by the microphone.

[0193] Step 2:

[0194] The server analyzes the received video and audio information. The input facial expression data is analyzed using OpenCV and Dlib, and the audio data is converted to text using the Google Cloud Speech-to-Text API. The analysis results in the user's emotional state being output as data.

[0195] Step 3:

[0196] The server processes the emotional data from the analysis results using a generative AI model. This process generates command data for physical effects based on the user's emotions. For example, if the user feels surprised, a command to enhance vibration is generated.

[0197] Step 4:

[0198] The server transmits command data for the generated physical effect to the terminal. The terminal receives this command and converts it into specific action commands to be applied to the sensory device. This enables the device to perform actions based on the commands.

[0199] Step 5:

[0200] The sensory device receives motion commands transmitted from the terminal and provides the user with physical effects such as vibration or wind. For example, the user can experience vibration effects during action scenes. This enhances the immersive viewing experience.

[0201] 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.

[0202] 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.

[0203] 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.

[0204] [Second Embodiment]

[0205] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0206] 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.

[0207] 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).

[0208] 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.

[0209] 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.

[0210] 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).

[0211] 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.

[0212] 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.

[0213] 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.

[0214] 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.

[0215] 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.

[0216] 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".

[0217] This invention provides a system that allows users to experience watching movies at home as if it were an attraction. This system takes video and audio data as input, analyzes it, generates corresponding physical effects, and provides the user with a realistic experience.

[0218] Specifically, when a user plays a movie, the video and audio data are input to the device. The device sends this data to a server, which uses AI to analyze it. This analysis generates physical effects such as vibrations and wind corresponding to specific scenes.

[0219] The server transmits the generated vibration and wind data to the terminal. The terminal receives this data and sends instructions to the user's wearable sensory devices (e.g., bone conduction devices or fan devices). The bone conduction device can generate vibrations through the user's bones based on the vibration data, and the fan device can send air based on the wind data.

[0220] For example, if there is an explosion scene in a movie, the server detects the video and audio, instantly generates strong vibration data, and sends it to the terminal. The terminal then instructs the bone conduction device with this data, and the user experiences the vibrations of the explosion. In scenes with strong winds, a fan sends out a corresponding breeze, providing a more realistic sensation.

[0221] A key feature of this system is that it allows users with visual or auditory limitations to experience the story and emotions of a film. Through physical feedback such as vibration and wind, an emotionally engaging movie experience can be achieved without relying on sight or hearing. In this way, the system according to the present invention provides new value to home movie viewing.

[0222] The following describes the processing flow.

[0223] Step 1:

[0224] The user plays a movie on their device. The device prepares to retrieve the movie's video and audio data.

[0225] Step 2:

[0226] The terminal sends the acquired video and audio data to the server. The server receives this data.

[0227] Step 3:

[0228] The server uses AI to analyze the received data. Based on the analysis results, it identifies the necessary physical effects based on the characteristics of each scene.

[0229] Step 4:

[0230] Based on the analysis results, the server generates vibration and wind data tailored to the scene.

[0231] Step 5:

[0232] The server sends the generated vibration and wind data to the terminal. The terminal receives it.

[0233] Step 6:

[0234] The terminal sends instructions to bone conduction devices and air blowers based on the received data. This generates vibrations and wind in the user's sensory device.

[0235] Step 7:

[0236] Users can experience realistic immersion in movie scenes by feeling vibrations and wind.

[0237] (Example 1)

[0238] 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."

[0239] There is a need to provide technologies that allow users to have more realistic and immersive experiences without relying on the visual and auditory information of digital content. However, existing systems have the challenge of preventing users with visual or auditory limitations from fully experiencing the emotions and excitement that content can evoke.

[0240] 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.

[0241] In this invention, the server includes information input means for inputting visual and auditory information of digital content, data generation means for analyzing the information using a generation AI model and generating physical action data corresponding to the scene, and information transmission means for transmitting the generated data to the user's input device via prompt messages. This makes it possible for users to realistically experience the emotions and excitement of digital content through physical feedback, even if they have limitations in their sight or hearing.

[0242] "Information input means" refers to devices or programs for receiving visual and auditory information from digital content.

[0243] A "generative AI model" is an artificial intelligence algorithm used to analyze data and generate output that corresponds to a specific scene.

[0244] "Data generation means" refers to a device or program that has the function of analyzing input visual and auditory information and creating physical action data based on that analysis.

[0245] "Information transmission means" refers to a device or program equipped with the function of transmitting generated physical action data to the user's device through prompt messages.

[0246] "Physical action data" refers to the data necessary to provide users with physical feedback such as vibration and wind.

[0247] A "prompt statement" is a form of instruction used to transmit generated physical action data to the user's device.

[0248] "External devices" refer to devices that are controlled to provide physical feedback to the user, and specifically include bone conduction devices and air blowers.

[0249] This invention provides a system that allows users to experience digital content through feedback other than visual and auditory means. This system includes information input means, data generation means, information transmission means, and external devices.

[0250] The server has information input means for receiving visual and auditory information from movies and other digital content that users play in their homes. The hardware used includes streaming devices and digital media players, and in particular, it utilizes conventional video transmission technologies.

[0251] The server's data generation mechanism uses a generation AI model to analyze received visual and auditory information and generate physical effect data corresponding to specific scenes. This model quickly identifies specific scenes in a film (e.g., explosion scenes, strong wind scenes) and generates appropriate vibration and wind data accordingly.

[0252] The terminal has a means of transmitting information, through which it sends generated physical action data as prompt messages to the user's device. The user's device includes bone conduction devices and ventilation devices, through which the user receives physical feedback.

[0253] For example, if an explosion scene occurs in a movie, the server uses an AI model to identify the explosion. Next, it generates a prompt message saying, "Generate strong vibration data corresponding to the explosion scene," and sends it to the terminal. As a result, the user can realistically experience the vibrations of the explosion through a bone conduction device. In the case of a scene with a lot of wind, a prompt message saying, "Generate wind force data corresponding to the wind scene," is generated, and the user can feel the actual wind through a fan.

[0254] This system will enable users with visual or auditory impairments to have a richer experience of digital content.

[0255] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0256] Step 1:

[0257] The user plays a movie at home. This inputs video and audio data into the device. The device then sends this input data to the server. At this point, the input is raw video and audio data, and sending it to the server makes it ready for processing.

[0258] Step 2:

[0259] The server analyzes the video and audio data received from the terminal using a generating AI model. This analysis involves data processing and calculations to identify physical effects specific to the scene. This allows the server to identify, for example, a scene containing an explosion or wind.

[0260] Step 3:

[0261] The server uses the analysis results to generate physical action data corresponding to the identified scene. In this process, the generating AI model creates specific vibration and wind data based on prompt statements. For example, a prompt such as "Generate strong vibration data" is used in this process.

[0262] Step 4:

[0263] The generated physical action data is sent from the server to the terminal. The input is physical action data corresponding to the scene, and the output is a specific control signal received by the terminal. This enables control in the next step.

[0264] Step 5:

[0265] The terminal uses the received physical action data to send instructions to the user's external devices (e.g., bone conduction devices or fan devices). Specifically, the terminal sends vibration control signals to the bone conduction device and wind control signals to the fan device.

[0266] Step 6:

[0267] Through these external devices, users experience vibrations and wind that correspond to scenes in the film. This allows them to receive physical feedback from the film in real time, enabling a deeper experience even if they have visual or auditory limitations.

[0268] (Application Example 1)

[0269] 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."

[0270] In home movie viewing, there is a need for devices that can provide a highly immersive viewing experience that includes not only visual and auditory stimuli but also physical sensations. Conventional video media rely on sight and sound, and while physical feedback corresponding to the content of the scene is necessary to enhance the sense of presence, methods for providing this are not adequately available.

[0271] 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.

[0272] In this invention, the server includes receiving means for inputting video and audio information, calculation means for analyzing the video and audio information and generating effects corresponding to the scene, and transmission means for transmitting the generated effect data to the experience device. This enables the user to obtain a real-time experience corresponding to the content of the movie or video.

[0273] "Visual information" refers to data that records or transmits the visual content of videos and movies in digital format.

[0274] "Acoustic information" refers to data that records or transmits sound information, such as speech and music, in digital format, which is perceived through hearing.

[0275] "Receiving means" refers to a method or device for acquiring video and audio information from an external source and incorporating it into an internal system.

[0276] "Analysis" is the process of examining input data in detail, understanding its content and structure, and classifying or processing it according to a specific purpose.

[0277] "Computational means" refers to a method or apparatus that includes algorithms or processes for processing data and generating results according to a specific purpose.

[0278] "Effect" refers to physical stimuli such as vibrations or wind that are felt by the user in a specific scenario.

[0279] "Generating" refers to the process of creating new data or information based on specific conditions or input data.

[0280] "Transmission means" refers to the route or method for transmitting generated data to other devices or equipment.

[0281] A "sensory device" is a device used by users to feel physical stimuli, such as vibrations or wind, directly providing the user with the experience.

[0282] The system for carrying out the present invention includes various components for analyzing video and audio information and providing the user with a physical experience based on the analysis results.

[0283] The server receives video and audio information. The received information is analyzed using a generative AI model. This analysis calculates effect information corresponding to a specific scene. This effect information includes physical stimuli such as vibration and wind, thereby generating a sensory experience appropriate to the scene.

[0284] The effect information generated from the analysis result is transmitted to the terminal. The terminal receives this information and sends instructions to the somatosensory device used by the user. This somatosensory device includes a vibration conduction device and a blower, and is configured to provide physical feedback according to the effect data. Using communication technologies such as Bluetooth, data transmission and control are performed in real time.

[0285] As a specific example, consider the case where a chase scene is displayed when the user is watching a movie. Through the analysis of this scene, strong vibration and wind effects are generated, and these effects are immediately provided to the user. As a result, the user can obtain an immersive feeling as if they were on the spot. Also, prompts such as "Please propose appropriate vibration and wind effects for the next movie scene: a scene where the car speeds over a bump." can be used in the analysis to generate an effective somatosensory experience.

[0286] In this way, the present invention provides a next-generation video viewing experience that can obtain a high sense of presence and immersion even within a home.

[0287] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0288] Step 1:

[0289] The server inputs the video information and audio information received from the terminal. This information is digital data of videos or movies and includes information related to vision and hearing. The server inputs this data into the generation AI model and analyzes the data according to the prompt text.

[0290] Step 2:

[0291] The server analyzes the received video and audio information using a generative AI model. Using the prompt "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car goes over a bump at high speed," it extracts features from each scene and calculates data related to physical effects. The output of this step is vibration and wind data corresponding to the scene.

[0292] Step 3:

[0293] The server transmits the generated vibration and wind data to the terminal. This transmission is performed in real time using communication technologies such as Bluetooth and Wi-Fi. The output data is used by the terminal to provide control instructions to the user's sensory device.

[0294] Step 4:

[0295] The terminal sends specific control signals to the user's sensory device based on vibration and wind data received from the server. Here, the vibration transmission device adjusts the vibration intensity, and the fan adjusts the wind speed. The input for this step is physical effect data from the server, and the output is the physical stimulus generated by the user's sensory device.

[0296] Step 5:

[0297] The user receives physical stimuli generated through the sensory device, experiencing immersion in the movie or video. At this stage, the specific physical sensations the user will experience are clarified. The input in this step is the physical experience of vibration and wind provided to the user, and the output is the user's satisfaction with the experience.

[0298] 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.

[0299] This invention realizes a system that provides a deeper immersive experience when watching movies by recognizing the user's emotions and adjusting physical effects according to the movie scenes. By using an emotion engine that analyzes the user's emotions in real time and provides feedback, it is possible to customize the optimal experience for each individual user.

[0300] To explain in more detail, when a user plays a movie, the device sends video and audio data to the server. At the same time, the device sends the user's facial expressions and voice to an emotion engine, which analyzes the user's emotions. The server receives this data, analyzes it using AI, and generates physical effects appropriate to the movie scene.

[0301] The generated physical effect data is transmitted to the terminal, which then sends commands to the user's sensory devices, such as bone conduction devices or ventilation devices. Here, based on the analysis results of the emotion engine, the intensity and nature of the physical effects can be dynamically adjusted. For example, if the system detects that the user is feeling tense in a particular scene, the vibrations can be enhanced to match that scene, further increasing immersion.

[0302] For example, if a user is surprised during an action scene, the emotion engine detects this and instructs the server to increase the intensity of the vibrations. Conversely, if the system detects that the user is relaxed during a calm scene, it reduces the intensity of the vibrations and wind to maintain a quiet environment. This allows users to become emotionally immersed in the movie's storyline and enjoy a personalized experience.

[0303] Thus, the present invention aims to significantly improve the viewing experience and deepen the impression of a film by providing physical effects that respond to the user's emotions. The entire system is equipped with technical elements that enhance the user's sensitivity to emotions and allow them to enjoy the content of the film even more.

[0304] The following describes the processing flow.

[0305] Step 1:

[0306] The user plays a movie on the terminal. The terminal prepares to immediately transmit the video data and audio data of the movie to the server.

[0307] Step 2:

[0308] The terminal captures the user's facial expression with a camera and picks up the sound with a microphone. Then, these data are transmitted to the emotion engine.

[0309] Step 3:

[0310] The server receives the video data and audio data transmitted from the terminal and analyzes them using AI. Thereby, it determines whether physical effects corresponding to each scene of the movie are required.

[0311] Step 4:

[0312] The emotion engine analyzes the user's facial expression data and voice data and recognizes the user's current emotional state. This information is returned to the server.

[0313] Step 5:

[0314] Based on the scene analysis result of the movie and the emotion data from the emotion engine, the server generates vibration data and wind force data. This product is adjusted according to the user's emotion.

[0315]

[0316] The server transmits the generated vibration data and wind force data to the terminal. The terminal sends specific instructions to the bone conduction device and the blower based on the received data.

[0317] Step 7:

[0318] ​Based on instructions transmitted by the device, the sensory device provides the user with appropriate physical effects. Users can experience vibrations and wind tailored to the scene, allowing them to immerse themselves in the visual experience.

[0319] (Example 2)

[0320] 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".

[0321] Traditional movie viewing systems primarily focus on visual and auditory experiences, lacking the ability to customize the experience based on the user's emotions. Therefore, there is a need to provide physical effects that respond to the user's emotional state to create a more immersive movie experience.

[0322] 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.

[0323] In this invention, the server includes input means for inputting video and audio information, generation means for analyzing the video and audio information and generating physical effects corresponding to the scene, emotion analysis means for acquiring and analyzing the user's emotional information in real time, transmission means for transmitting the generated physical effect information to the user's bodily sensory device, and adjustment means for dynamically adjusting the intensity and properties of the physical effects based on the results of the emotion analysis means. This makes it possible to provide a personalized movie experience that responds to the user's emotions and enhances immersion.

[0324] "Visual information" refers to digital data that includes visual elements, such as movies and video content.

[0325] "Audio information" refers to sound data that is played in sync with the video, and includes dialogue, music, and sound effects.

[0326] "Input means" refers to hardware or software used to input video and audio information into the system.

[0327] "Generation means" refers to devices or algorithms that analyze input video and audio information and create physical effects based on the results.

[0328] "Emotional information" refers to data that indicates the user's psychological state, and is obtained through facial expression analysis and voice analysis.

[0329] "Emotional analysis means" refers to hardware or software used to acquire and analyze a user's emotional information.

[0330] "Physical effect information" refers to data used to generate tactile sensations such as touch and wind that are presented to the user.

[0331] "Transmission means" refers to a device or protocol that has a communication function for transmitting generated physical effect information to the user's sensory device.

[0332] "Adjustment means" refers to a device or software equipped with the function of dynamically changing the intensity and nature of physical effects based on analyzed emotions.

[0333] A "body sensory device" is a device that presents physical effects to the user, and includes bone conduction devices and air blowers.

[0334] The present invention aims to analyze a user's emotional information based on visual and auditory data while the user is watching a movie, and to provide corresponding physical effects. This system consists of a terminal for inputting "video information" and "audio information," a server for receiving this data, and a user's bodily sensory device.

[0335] The device transmits video and audio information to the server in real time during movie playback. This process utilizes existing streaming technology to achieve high-speed data transfer. Furthermore, to analyze the user's emotions, the device uses its camera and microphone to collect the user's facial expressions and voice, and transmits this data to an emotion analysis system.

[0336] The server generates physical effects appropriate to the scene using AI-powered generation methods based on data transmitted from the terminal. The generated physical effect information is transmitted to the user's bodily sensory device via Bluetooth or Wi-Fi through the terminal.

[0337] This allows users to experience physical effects that match the scenes in the movie. For example, during action scenes, they can feel strong vibrations through the bone conduction device, and during calmer scenes, they can feel a gentle breeze through the fan.

[0338] As a concrete example, the following is an example of a prompt: "Please tell me how to set the vibration intensity when the user is surprised." This prompt is used to obtain guidance for the system to effectively adjust the physical effects using a generative AI model.

[0339] As described above, the present invention provides a system that achieves a deeper sense of immersion by offering a personalized movie experience that responds to the user's emotions.

[0340] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0341] Step 1:

[0342] The terminal sends video and audio information to the server when movie playback begins. Specifically, the terminal buffers video and audio data using a streaming protocol via movie playback software and performs input processing to transfer it to the server in real time. As a result, the transmission of video and audio data from the terminal to the server is output.

[0343] Step 2:

[0344] The device uses a camera and microphone to collect user emotional information. The camera records and analyzes the user's facial expressions, and the microphone records and analyzes the user's voice and tone. This collects raw data about the user's current emotional state. This input data is sent to an emotion analysis device for analysis, and the user's emotional information is output.

[0345] Step 3:

[0346] The server analyzes video, audio, and emotional information received from the terminal. Using AI-powered generation methods, it calculates data to generate physical effects corresponding to movie scenes. The inputs here are video data, audio data, and emotional data, and the output is appropriate physical effect data for each scene. The server analyzes the characteristics of the scene and selects the effect that best matches the user's emotional state.

[0347] Step 4:

[0348] The server transmits the generated physical effect data to the terminal. Based on the received data, the terminal sends control signals to the user's bodily sensory devices. In this process, data communication protocols (e.g., Bluetooth, Wi-Fi) are used to send signals to the devices and generate outputs that realize the physical effect. Specifically, the terminal sends vibration signals to the bone conduction device and airflow signals to the wind power device.

[0349] Step 5:

[0350] Users experience physical effects from a bodily sensory device based on commands sent from the terminal. They receive emotionally relevant feedback, resulting in an immersive movie-watching experience. Users also receive tactile and wind feedback, further immersing themselves in the film's storyline.

[0351] (Application Example 2)

[0352] 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."

[0353] This project aims to address the challenge of a lack of methods and systems that allow users to more deeply experience the emotions associated with each scene and achieve a greater sense of immersion during movie viewing. Furthermore, there is a need for technology that can analyze user emotions in real time and provide appropriate physical feedback accordingly.

[0354] 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.

[0355] In this invention, the server includes receiving means for receiving video and audio information, analysis means for analyzing the video and audio information and generating user emotions according to the scene using an AI algorithm, and control means for generating physical effects based on the analysis results and commanding the user's sensory device to perform these physical effects. As a result, the user can experience vibrations and airflow corresponding to their emotions in each scene of the movie, enabling an immersive and personalized viewing experience.

[0356] "Visual and audio information" refers to the visual and auditory data obtained from movies and video content that users watch.

[0357] "Receiving means" refers to components of devices or software that have the function of acquiring video and audio information from an external source.

[0358] "Analysis means" refers to the process of utilizing generative AI algorithms to identify and analyze the user's emotions using received video and audio information.

[0359] A "generative AI algorithm" is an algorithm that uses artificial intelligence technology to analyze data and identify user emotions.

[0360] A "control means" is a function that commands the user's sensory device to produce physical effects based on information obtained by the analysis means.

[0361] "Physical effects" refer to feedback such as vibrations and airflow that users can experience, and are provided to enhance the viewing experience.

[0362] A "sensory device" is a device or equipment that allows users to receive physical effects through touch and other sensory experiences, in addition to sight and hearing.

[0363] To implement this invention, the system mainly consists of a server, a terminal, and a user.

[0364] The server is equipped with a receiving device that receives video and audio information. This allows data from movies and video content to be transmitted from the terminal to the server. The server uses a generative AI algorithm to analyze the received data, performing sentiment analysis. Specifically, it uses Python's OpenCV and Dlib to capture the user's facial expressions and the Google Cloud Speech-to-Text API to convert the audio data into text. Based on this, the server analyzes the user's emotions in real time.

[0365] Based on the analyzed emotional data, the server generates physical effects and sends control commands to the terminal. These control commands are sent to the user's sensory device via a microcontroller such as an Arduino. This sensory device includes bone conduction devices and airflow generators, allowing the user to experience vibrations and wind corresponding to scenes in the movie.

[0366] For example, if a user feels surprised during an action scene, the generative AI model detects this emotion and sends a command to the HMD (head-mounted display) to enhance vibrations. On the other hand, if the system recognizes that the user is relaxed during a quiet scene, it personalizes the viewing experience by recreating a gentle breeze through a fan.

[0367] An example of a prompt message would be, "If the system detects that the user is excited by an action scene in a movie, activate the vibration device more strongly." This allows the generative AI model to provide appropriate feedback based on the user's emotions.

[0368] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0369] Step 1:

[0370] The device acquires video and audio information from the user. This information is sent to the server as input data. For example, this includes facial expression data acquired by the device's camera and audio data acquired by the microphone.

[0371] Step 2:

[0372] The server analyzes the received video and audio information. The input facial expression data is analyzed using OpenCV and Dlib, and the audio data is converted to text using the Google Cloud Speech-to-Text API. The analysis results in the user's emotional state being output as data.

[0373] Step 3:

[0374] The server processes the emotional data from the analysis results using a generative AI model. This process generates command data for physical effects based on the user's emotions. For example, if the user feels surprised, a command to enhance vibration is generated.

[0375] Step 4:

[0376] The server transmits command data for the generated physical effect to the terminal. The terminal receives this command and converts it into specific action commands to be applied to the sensory device. This enables the device to perform actions based on the commands.

[0377] Step 5:

[0378] The sensory device receives motion commands transmitted from the terminal and provides the user with physical effects such as vibration or wind. For example, the user can experience vibration effects during action scenes. This enhances the immersive viewing experience.

[0379] 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.

[0380] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0381] 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.

[0382] [Third Embodiment]

[0383] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0384] 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.

[0385] 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).

[0386] 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.

[0387] 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.

[0388] 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).

[0389] 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.

[0390] 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.

[0391] 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.

[0392] 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.

[0393] 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.

[0394] 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".

[0395] This invention provides a system that allows users to experience watching movies at home as if it were an attraction. This system takes video and audio data as input, analyzes it, generates corresponding physical effects, and provides the user with a realistic experience.

[0396] Specifically, when a user plays a movie, the video and audio data are input to the device. The device sends this data to a server, which uses AI to analyze it. This analysis generates physical effects such as vibrations and wind corresponding to specific scenes.

[0397] The server transmits the generated vibration and wind data to the terminal. The terminal receives this data and sends instructions to the user's wearable sensory devices (e.g., bone conduction devices or fan devices). The bone conduction device can generate vibrations through the user's bones based on the vibration data, and the fan device can send air based on the wind data.

[0398] For example, if there is an explosion scene in a movie, the server detects the video and audio, instantly generates strong vibration data, and sends it to the terminal. The terminal then instructs the bone conduction device with this data, and the user experiences the vibrations of the explosion. In scenes with strong winds, a fan sends out a corresponding breeze, providing a more realistic sensation.

[0399] A key feature of this system is that it allows users with visual or auditory limitations to experience the story and emotions of a film. Through physical feedback such as vibration and wind, an emotionally engaging movie experience can be achieved without relying on sight or hearing. In this way, the system according to the present invention provides new value to home movie viewing.

[0400] The following describes the processing flow.

[0401] Step 1:

[0402] The user plays a movie on their device. The device prepares to retrieve the movie's video and audio data.

[0403] Step 2:

[0404] The terminal sends the acquired video and audio data to the server. The server receives this data.

[0405] Step 3:

[0406] The server uses AI to analyze the received data. Based on the analysis results, it identifies the necessary physical effects based on the characteristics of each scene.

[0407] Step 4:

[0408] Based on the analysis results, the server generates vibration and wind data tailored to the scene.

[0409] Step 5:

[0410] The server sends the generated vibration and wind data to the terminal. The terminal receives it.

[0411] Step 6:

[0412] The terminal sends instructions to bone conduction devices and air blowers based on the received data. This generates vibrations and wind in the user's sensory device.

[0413] Step 7:

[0414] Users can experience realistic immersion in movie scenes by feeling vibrations and wind.

[0415] (Example 1)

[0416] 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."

[0417] There is a need to provide technologies that allow users to have more realistic and immersive experiences without relying on the visual and auditory information of digital content. However, existing systems have the challenge of preventing users with visual or auditory limitations from fully experiencing the emotions and excitement that content can evoke.

[0418] 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.

[0419] In this invention, the server includes information input means for inputting visual and auditory information of digital content, data generation means for analyzing the information using a generation AI model and generating physical action data corresponding to the scene, and information transmission means for transmitting the generated data to the user's input device via prompt messages. This makes it possible for users to realistically experience the emotions and excitement of digital content through physical feedback, even if they have limitations in their sight or hearing.

[0420] "Information input means" refers to devices or programs for receiving visual and auditory information from digital content.

[0421] A "generative AI model" is an artificial intelligence algorithm used to analyze data and generate output that corresponds to a specific scene.

[0422] "Data generation means" refers to a device or program that has the function of analyzing input visual and auditory information and creating physical action data based on that analysis.

[0423] "Information transmission means" refers to a device or program equipped with the function of transmitting generated physical action data to the user's device through prompt messages.

[0424] "Physical action data" refers to the data necessary to provide users with physical feedback such as vibration and wind.

[0425] A "prompt statement" is a form of instruction used to transmit generated physical action data to the user's device.

[0426] "External devices" refer to devices that are controlled to provide physical feedback to the user, and specifically include bone conduction devices and air blowers.

[0427] This invention provides a system that allows users to experience digital content through feedback other than visual and auditory means. This system includes information input means, data generation means, information transmission means, and external devices.

[0428] The server has information input means for receiving visual and auditory information from movies and other digital content that users play in their homes. The hardware used includes streaming devices and digital media players, and in particular, it utilizes conventional video transmission technologies.

[0429] The server's data generation mechanism uses a generation AI model to analyze received visual and auditory information and generate physical effect data corresponding to specific scenes. This model quickly identifies specific scenes in a film (e.g., explosion scenes, strong wind scenes) and generates appropriate vibration and wind data accordingly.

[0430] The terminal has a means of transmitting information, through which it sends generated physical action data as prompt messages to the user's device. The user's device includes bone conduction devices and ventilation devices, through which the user receives physical feedback.

[0431] For example, if an explosion scene occurs in a movie, the server uses an AI model to identify the explosion. Next, it generates a prompt message saying, "Generate strong vibration data corresponding to the explosion scene," and sends it to the terminal. As a result, the user can realistically experience the vibrations of the explosion through a bone conduction device. In the case of a scene with a lot of wind, a prompt message saying, "Generate wind force data corresponding to the wind scene," is generated, and the user can feel the actual wind through a fan.

[0432] This system will enable users with visual or auditory impairments to have a richer experience of digital content.

[0433] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0434] Step 1:

[0435] The user plays a movie at home. This inputs video and audio data into the device. The device then sends this input data to the server. At this point, the input is raw video and audio data, and sending it to the server makes it ready for processing.

[0436] Step 2:

[0437] The server analyzes the video and audio data received from the terminal using a generating AI model. This analysis involves data processing and calculations to identify physical effects specific to the scene. This allows the server to identify, for example, a scene containing an explosion or wind.

[0438] Step 3:

[0439] The server uses the analysis results to generate physical action data corresponding to the identified scene. In this process, the generating AI model creates specific vibration and wind data based on prompt statements. For example, a prompt such as "Generate strong vibration data" is used in this process.

[0440] Step 4:

[0441] The generated physical action data is sent from the server to the terminal. The input is physical action data corresponding to the scene, and the output is a specific control signal received by the terminal. This enables control in the next step.

[0442] Step 5:

[0443] The terminal uses the received physical action data to send instructions to the user's external devices (e.g., bone conduction devices or fan devices). Specifically, the terminal sends vibration control signals to the bone conduction device and wind control signals to the fan device.

[0444] Step 6:

[0445] Through these external devices, users experience vibrations and wind that correspond to scenes in the film. This allows them to receive physical feedback from the film in real time, enabling a deeper experience even if they have visual or auditory limitations.

[0446] (Application Example 1)

[0447] 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."

[0448] In home movie viewing, there is a need for devices that can provide a highly immersive viewing experience that includes not only visual and auditory stimuli but also physical sensations. Conventional video media rely on sight and sound, and while physical feedback corresponding to the content of the scene is necessary to enhance the sense of presence, methods for providing this are not adequately available.

[0449] 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.

[0450] In this invention, the server includes receiving means for inputting video and audio information, calculation means for analyzing the video and audio information and generating effects corresponding to the scene, and transmission means for transmitting the generated effect data to the experience device. This enables the user to obtain a real-time experience corresponding to the content of the movie or video.

[0451] "Visual information" refers to data that records or transmits the visual content of videos and movies in digital format.

[0452] "Acoustic information" refers to data that records or transmits sound information, such as speech and music, in digital format, which is perceived through hearing.

[0453] "Receiving means" refers to a method or device for acquiring video and audio information from an external source and incorporating it into an internal system.

[0454] "Analysis" is the process of examining input data in detail, understanding its content and structure, and classifying or processing it according to a specific purpose.

[0455] "Computational means" refers to a method or apparatus that includes algorithms or processes for processing data and generating results according to a specific purpose.

[0456] "Effect" refers to physical stimuli such as vibrations or wind that are felt by the user in a specific scenario.

[0457] "Generating" refers to the process of creating new data or information based on specific conditions or input data.

[0458] "Transmission means" refers to the route or method for transmitting generated data to other devices or equipment.

[0459] A "sensory device" is a device used by users to feel physical stimuli, such as vibrations or wind, directly providing the user with the experience.

[0460] The system for carrying out the present invention includes various components for analyzing video and audio information and providing the user with a physical experience based on the analysis results.

[0461] The server receives video and audio information. The received information is analyzed using a generative AI model. This analysis calculates effect information corresponding to a specific scene. This effect information includes physical stimuli such as vibration and wind, thereby generating a sensory experience appropriate to the scene.

[0462] The effect information generated from the analysis results is transmitted to the terminal. The terminal receives this information and sends instructions to the sensory device being used by the user. This sensory device includes a vibration transmission device and a fan, and is configured to provide physical feedback according to the effect data. Data transmission and control are performed in real time using communication technologies such as Bluetooth.

[0463] As a concrete example, consider a scenario where a car chase scene appears while a user is watching a movie. Analysis of this scene generates strong vibrations and wind effects, which are then immediately delivered to the user. As a result, the user can experience a sense of immersion as if they were actually there. Furthermore, the analysis can use prompts such as, "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car speeds over a bump," to generate an effective sensory experience.

[0464] In this way, the present invention provides a next-generation video viewing experience that allows for a high level of realism and immersion even within the home.

[0465] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0466] Step 1:

[0467] The server inputs video and audio information received from the terminal. This information is digital data of videos and movies and includes visual and auditory information. The server inputs this data into a generating AI model, which then analyzes the data according to the prompts.

[0468] Step 2:

[0469] The server analyzes the received video and audio information using a generative AI model. Using the prompt "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car goes over a bump at high speed," it extracts features from each scene and calculates data related to physical effects. The output of this step is vibration and wind data corresponding to the scene.

[0470] Step 3:

[0471] The server transmits the generated vibration and wind data to the terminal. This transmission is performed in real time using communication technologies such as Bluetooth and Wi-Fi. The output data is used by the terminal to provide control instructions to the user's sensory device.

[0472] Step 4:

[0473] The terminal sends specific control signals to the user's sensory device based on vibration and wind data received from the server. Here, the vibration transmission device adjusts the vibration intensity, and the fan adjusts the wind speed. The input for this step is physical effect data from the server, and the output is the physical stimulus generated by the user's sensory device.

[0474] Step 5:

[0475] The user receives physical stimuli generated through the sensory device, experiencing immersion in the movie or video. At this stage, the specific physical sensations the user will experience are clarified. The input in this step is the physical experience of vibration and wind provided to the user, and the output is the user's satisfaction with the experience.

[0476] 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.

[0477] This invention realizes a system that provides a deeper immersive experience when watching movies by recognizing the user's emotions and adjusting physical effects according to the movie scenes. By using an emotion engine that analyzes the user's emotions in real time and provides feedback, it is possible to customize the optimal experience for each individual user.

[0478] To explain in more detail, when a user plays a movie, the device sends video and audio data to the server. At the same time, the device sends the user's facial expressions and voice to an emotion engine, which analyzes the user's emotions. The server receives this data, analyzes it using AI, and generates physical effects appropriate to the movie scene.

[0479] The generated physical effect data is transmitted to the terminal, which then sends commands to the user's sensory devices, such as bone conduction devices or ventilation devices. Here, based on the analysis results of the emotion engine, the intensity and nature of the physical effects can be dynamically adjusted. For example, if the system detects that the user is feeling tense in a particular scene, the vibrations can be enhanced to match that scene, further increasing immersion.

[0480] For example, if a user is surprised during an action scene, the emotion engine detects this and instructs the server to increase the intensity of the vibrations. Conversely, if the system detects that the user is relaxed during a calm scene, it reduces the intensity of the vibrations and wind to maintain a quiet environment. This allows users to become emotionally immersed in the movie's storyline and enjoy a personalized experience.

[0481] Thus, the present invention aims to significantly improve the viewing experience and deepen the impression of a film by providing physical effects that respond to the user's emotions. The entire system is equipped with technical elements that enhance the user's sensitivity to emotions and allow them to enjoy the content of the film even more.

[0482] The following describes the processing flow.

[0483] Step 1:

[0484] The user plays the movie on their device. The device immediately prepares to send the movie's video and audio data to the server.

[0485] Step 2:

[0486] The device captures the user's facial expressions with its camera and picks up their voice with its microphone. This data is then sent to the emotion engine.

[0487] Step 3:

[0488] The server receives video and audio data transmitted from the terminal and analyzes it using AI. This allows it to determine whether physical effects are necessary for each scene in the film.

[0489] Step 4:

[0490] The emotion engine analyzes the user's facial expression data and voice data to recognize the user's current emotional state. This information is then sent back to the server.

[0491] Step 5:

[0492] The server generates vibration and wind data based on the movie scene analysis results and emotion data from the emotion engine. This generated data is then adjusted to match the user's emotions.

[0493] Step 6:

[0494] The server transmits the generated vibration and wind data to the terminal. Based on the received data, the terminal sends specific instructions to the bone conduction device and the fan.

[0495] Step 7:

[0496] Based on instructions transmitted by the device, the sensory device provides the user with appropriate physical effects. Users can experience vibrations and wind tailored to the scene, allowing them to immerse themselves in the visual experience.

[0497] (Example 2)

[0498] 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."

[0499] Traditional movie viewing systems primarily focus on visual and auditory experiences, lacking the ability to customize the experience based on the user's emotions. Therefore, there is a need to provide physical effects that respond to the user's emotional state to create a more immersive movie experience.

[0500] 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.

[0501] In this invention, the server includes input means for inputting video and audio information, generation means for analyzing the video and audio information and generating physical effects corresponding to the scene, emotion analysis means for acquiring and analyzing the user's emotional information in real time, transmission means for transmitting the generated physical effect information to the user's bodily sensory device, and adjustment means for dynamically adjusting the intensity and properties of the physical effects based on the results of the emotion analysis means. This makes it possible to provide a personalized movie experience that responds to the user's emotions and enhances immersion.

[0502] "Visual information" refers to digital data that includes visual elements, such as movies and video content.

[0503] "Audio information" refers to sound data that is played in sync with the video, and includes dialogue, music, and sound effects.

[0504] "Input means" refers to hardware or software used to input video and audio information into the system.

[0505] "Generation means" refers to devices or algorithms that analyze input video and audio information and create physical effects based on the results.

[0506] "Emotional information" refers to data that indicates the user's psychological state, and is obtained through facial expression analysis and voice analysis.

[0507] "Emotional analysis means" refers to hardware or software used to acquire and analyze a user's emotional information.

[0508] "Physical effect information" refers to data used to generate tactile sensations such as touch and wind that are presented to the user.

[0509] "Transmission means" refers to a device or protocol that has a communication function for transmitting generated physical effect information to the user's sensory device.

[0510] "Adjustment means" refers to a device or software equipped with the function of dynamically changing the intensity and nature of physical effects based on analyzed emotions.

[0511] A "body sensory device" is a device that presents physical effects to the user, and includes bone conduction devices and air blowers.

[0512] The present invention aims to analyze a user's emotional information based on visual and auditory data while the user is watching a movie, and to provide corresponding physical effects. This system consists of a terminal for inputting "video information" and "audio information," a server for receiving this data, and a user's bodily sensory device.

[0513] The device transmits video and audio information to the server in real time during movie playback. This process utilizes existing streaming technology to achieve high-speed data transfer. Furthermore, to analyze the user's emotions, the device uses its camera and microphone to collect the user's facial expressions and voice, and transmits this data to an emotion analysis system.

[0514] The server generates physical effects appropriate to the scene using AI-powered generation methods based on data transmitted from the terminal. The generated physical effect information is transmitted to the user's bodily sensory device via Bluetooth or Wi-Fi through the terminal.

[0515] This allows users to experience physical effects that match the scenes in the movie. For example, during action scenes, they can feel strong vibrations through the bone conduction device, and during calmer scenes, they can feel a gentle breeze through the fan.

[0516] As a concrete example, the following is an example of a prompt: "Please tell me how to set the vibration intensity when the user is surprised." This prompt is used to obtain guidance for the system to effectively adjust the physical effects using a generative AI model.

[0517] As described above, the present invention provides a system that achieves a deeper sense of immersion by offering a personalized movie experience that responds to the user's emotions.

[0518] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0519] Step 1:

[0520] The terminal sends video and audio information to the server when movie playback begins. Specifically, the terminal buffers video and audio data using a streaming protocol via movie playback software and performs input processing to transfer it to the server in real time. As a result, the transmission of video and audio data from the terminal to the server is output.

[0521] Step 2:

[0522] The device uses a camera and microphone to collect user emotional information. The camera records and analyzes the user's facial expressions, and the microphone records and analyzes the user's voice and tone. This collects raw data about the user's current emotional state. This input data is sent to an emotion analysis device for analysis, and the user's emotional information is output.

[0523] Step 3:

[0524] The server analyzes video, audio, and emotional information received from the terminal. Using AI-powered generation methods, it calculates data to generate physical effects corresponding to movie scenes. The inputs here are video data, audio data, and emotional data, and the output is appropriate physical effect data for each scene. The server analyzes the characteristics of the scene and selects the effect that best matches the user's emotional state.

[0525] Step 4:

[0526] The server transmits the generated physical effect data to the terminal. Based on the received data, the terminal sends control signals to the user's bodily sensory devices. In this process, data communication protocols (e.g., Bluetooth, Wi-Fi) are used to send signals to the devices and generate outputs that realize the physical effect. Specifically, the terminal sends vibration signals to the bone conduction device and airflow signals to the wind power device.

[0527] Step 5:

[0528] Users experience physical effects from a bodily sensory device based on commands sent from the terminal. They receive emotionally relevant feedback, resulting in an immersive movie-watching experience. Users also receive tactile and wind feedback, further immersing themselves in the film's storyline.

[0529] (Application Example 2)

[0530] 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."

[0531] This project aims to address the challenge of a lack of methods and systems that allow users to more deeply experience the emotions associated with each scene and achieve a greater sense of immersion during movie viewing. Furthermore, there is a need for technology that can analyze user emotions in real time and provide appropriate physical feedback accordingly.

[0532] 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.

[0533] In this invention, the server includes receiving means for receiving video and audio information, analysis means for analyzing the video and audio information and generating user emotions according to the scene using an AI algorithm, and control means for generating physical effects based on the analysis results and commanding the user's sensory device to perform these physical effects. As a result, the user can experience vibrations and airflow corresponding to their emotions in each scene of the movie, enabling an immersive and personalized viewing experience.

[0534] "Visual and audio information" refers to the visual and auditory data obtained from movies and video content that users watch.

[0535] "Receiving means" refers to components of devices or software that have the function of acquiring video and audio information from an external source.

[0536] "Analysis means" refers to the process of utilizing generative AI algorithms to identify and analyze the user's emotions using received video and audio information.

[0537] A "generative AI algorithm" is an algorithm that uses artificial intelligence technology to analyze data and identify user emotions.

[0538] A "control means" is a function that commands the user's sensory device to produce physical effects based on information obtained by the analysis means.

[0539] "Physical effects" refer to feedback such as vibrations and airflow that users can experience, and are provided to enhance the viewing experience.

[0540] A "sensory device" is a device or equipment that allows users to receive physical effects through touch and other sensory experiences, in addition to sight and hearing.

[0541] To implement this invention, the system mainly consists of a server, a terminal, and a user.

[0542] The server is equipped with a receiving device that receives video and audio information. This allows data from movies and video content to be transmitted from the terminal to the server. The server uses a generative AI algorithm to analyze the received data, performing sentiment analysis. Specifically, it uses Python's OpenCV and Dlib to capture the user's facial expressions and the Google Cloud Speech-to-Text API to convert the audio data into text. Based on this, the server analyzes the user's emotions in real time.

[0543] Based on the analyzed emotional data, the server generates physical effects and sends control commands to the terminal. These control commands are sent to the user's sensory device via a microcontroller such as an Arduino. This sensory device includes bone conduction devices and airflow generators, allowing the user to experience vibrations and wind corresponding to scenes in the movie.

[0544] For example, if a user feels surprised during an action scene, the generative AI model detects this emotion and sends a command to the HMD (head-mounted display) to enhance vibrations. On the other hand, if the system recognizes that the user is relaxed during a quiet scene, it personalizes the viewing experience by recreating a gentle breeze through a fan.

[0545] An example of a prompt message would be, "If the system detects that the user is excited by an action scene in a movie, activate the vibration device more strongly." This allows the generative AI model to provide appropriate feedback based on the user's emotions.

[0546] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0547] Step 1:

[0548] The device acquires video and audio information from the user. This information is sent to the server as input data. For example, this includes facial expression data acquired by the device's camera and audio data acquired by the microphone.

[0549] Step 2:

[0550] The server analyzes the received video and audio information. The input facial expression data is analyzed using OpenCV and Dlib, and the audio data is converted to text using the Google Cloud Speech-to-Text API. The analysis results in the user's emotional state being output as data.

[0551] Step 3:

[0552] The server processes the emotional data from the analysis results using a generative AI model. This process generates command data for physical effects based on the user's emotions. For example, if the user feels surprised, a command to enhance vibration is generated.

[0553] Step 4:

[0554] The server transmits command data for the generated physical effect to the terminal. The terminal receives this command and converts it into specific action commands to be applied to the sensory device. This enables the device to perform actions based on the commands.

[0555] Step 5:

[0556] The sensory device receives motion commands transmitted from the terminal and provides the user with physical effects such as vibration or wind. For example, the user can experience vibration effects during action scenes. This enhances the immersive viewing experience.

[0557] 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.

[0558] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0559] 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.

[0560] [Fourth Embodiment]

[0561] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0562] 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.

[0563] 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).

[0564] 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.

[0565] 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.

[0566] 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).

[0567] 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.

[0568] 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.

[0569] 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.

[0570] 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.

[0571] 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.

[0572] 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.

[0573] 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".

[0574] This invention provides a system that allows users to experience watching movies at home as if it were an attraction. This system takes video and audio data as input, analyzes it, generates corresponding physical effects, and provides the user with a realistic experience.

[0575] Specifically, when a user plays a movie, the video and audio data are input to the device. The device sends this data to a server, which uses AI to analyze it. This analysis generates physical effects such as vibrations and wind corresponding to specific scenes.

[0576] The server transmits the generated vibration and wind data to the terminal. The terminal receives this data and sends instructions to the user's wearable sensory devices (e.g., bone conduction devices or fan devices). The bone conduction device can generate vibrations through the user's bones based on the vibration data, and the fan device can send air based on the wind data.

[0577] For example, if there is an explosion scene in a movie, the server detects the video and audio, instantly generates strong vibration data, and sends it to the terminal. The terminal then instructs the bone conduction device with this data, and the user experiences the vibrations of the explosion. In scenes with strong winds, a fan sends out a corresponding breeze, providing a more realistic sensation.

[0578] A key feature of this system is that it allows users with visual or auditory limitations to experience the story and emotions of a film. Through physical feedback such as vibration and wind, an emotionally engaging movie experience can be achieved without relying on sight or hearing. In this way, the system according to the present invention provides new value to home movie viewing.

[0579] The following describes the processing flow.

[0580] Step 1:

[0581] The user plays a movie on their device. The device prepares to retrieve the movie's video and audio data.

[0582] Step 2:

[0583] The terminal sends the acquired video and audio data to the server. The server receives this data.

[0584] Step 3:

[0585] The server uses AI to analyze the received data. Based on the analysis results, it identifies the necessary physical effects based on the characteristics of each scene.

[0586] Step 4:

[0587] Based on the analysis results, the server generates vibration and wind data tailored to the scene.

[0588] Step 5:

[0589] The server sends the generated vibration and wind data to the terminal. The terminal receives it.

[0590] Step 6:

[0591] The terminal sends instructions to bone conduction devices and air blowers based on the received data. This generates vibrations and wind in the user's sensory device.

[0592] Step 7:

[0593] Users can experience realistic immersion in movie scenes by feeling vibrations and wind.

[0594] (Example 1)

[0595] 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".

[0596] There is a need to provide technologies that allow users to have more realistic and immersive experiences without relying on the visual and auditory information of digital content. However, existing systems have the challenge of preventing users with visual or auditory limitations from fully experiencing the emotions and excitement that content can evoke.

[0597] 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.

[0598] In this invention, the server includes information input means for inputting visual and auditory information of digital content, data generation means for analyzing the information using a generation AI model and generating physical action data corresponding to the scene, and information transmission means for transmitting the generated data to the user's input device via prompt messages. This makes it possible for users to realistically experience the emotions and excitement of digital content through physical feedback, even if they have limitations in their sight or hearing.

[0599] "Information input means" refers to devices or programs for receiving visual and auditory information from digital content.

[0600] A "generative AI model" is an artificial intelligence algorithm used to analyze data and generate output that corresponds to a specific scene.

[0601] "Data generation means" refers to a device or program that has the function of analyzing input visual and auditory information and creating physical action data based on that analysis.

[0602] "Information transmission means" refers to a device or program that has the function of transmitting generated physical action data to the user's device through prompt messages.

[0603] "Physical action data" refers to the data necessary to provide users with physical feedback such as vibration and wind.

[0604] A "prompt statement" is a form of instruction used to transmit generated physical action data to the user's device.

[0605] "External devices" refer to devices that are controlled to provide physical feedback to the user, and specifically include bone conduction devices and air blowers.

[0606] This invention provides a system that allows users to experience digital content through feedback other than visual and auditory means. This system includes information input means, data generation means, information transmission means, and external devices.

[0607] The server has information input means for receiving visual and auditory information from movies and other digital content that users play in their homes. The hardware used includes streaming devices and digital media players, and in particular, it utilizes conventional video transmission technologies.

[0608] The server's data generation mechanism uses a generation AI model to analyze received visual and auditory information and generate physical effect data corresponding to specific scenes. This model quickly identifies specific scenes in a film (e.g., explosion scenes, strong wind scenes) and generates appropriate vibration and wind data accordingly.

[0609] The terminal has a means of transmitting information, through which it sends generated physical action data as prompt messages to the user's device. The user's device includes bone conduction devices and ventilation devices, through which the user receives physical feedback.

[0610] For example, if an explosion scene occurs in a movie, the server uses an AI model to identify the explosion. Next, it generates a prompt message saying, "Generate strong vibration data corresponding to the explosion scene," and sends it to the terminal. As a result, the user can realistically experience the vibrations of the explosion through a bone conduction device. In the case of a scene with a lot of wind, a prompt message saying, "Generate wind force data corresponding to the wind scene," is generated, and the user can feel the actual wind through a fan.

[0611] This system will enable users with visual or auditory impairments to have a richer experience of digital content.

[0612] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0613] Step 1:

[0614] The user plays a movie at home. This inputs video and audio data into the device. The device then sends this input data to the server. At this point, the input is raw video and audio data, and sending it to the server makes it ready for processing.

[0615] Step 2:

[0616] The server analyzes the video and audio data received from the terminal using a generating AI model. This analysis involves data processing and calculations to identify physical effects specific to the scene. This allows the server to identify, for example, a scene containing an explosion or wind.

[0617] Step 3:

[0618] The server uses the analysis results to generate physical action data corresponding to the identified scene. In this process, the generating AI model creates specific vibration and wind data based on prompt statements. For example, a prompt such as "Generate strong vibration data" is used in this process.

[0619] Step 4:

[0620] The generated physical action data is sent from the server to the terminal. The input is physical action data corresponding to the scene, and the output is a specific control signal received by the terminal. This enables control in the next step.

[0621] Step 5:

[0622] The terminal uses the received physical action data to send instructions to the user's external devices (e.g., bone conduction devices or fan devices). Specifically, the terminal sends vibration control signals to the bone conduction device and wind control signals to the fan device.

[0623] Step 6:

[0624] Through these external devices, users experience vibrations and wind that correspond to scenes in the film. This allows them to receive physical feedback from the film in real time, enabling a deeper experience even if they have visual or auditory limitations.

[0625] (Application Example 1)

[0626] 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".

[0627] In home movie viewing, there is a need for devices that can provide a highly immersive viewing experience that includes not only visual and auditory stimuli but also physical sensations. Conventional video media rely on sight and sound, and while physical feedback corresponding to the content of the scene is necessary to enhance the sense of presence, methods for providing this are not adequately available.

[0628] 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.

[0629] In this invention, the server includes receiving means for inputting video and audio information, calculation means for analyzing the video and audio information and generating effects corresponding to the scene, and transmission means for transmitting the generated effect data to the experience device. This enables the user to obtain a real-time experience corresponding to the content of the movie or video.

[0630] "Visual information" refers to data that records or transmits the visual content of videos and movies in digital format.

[0631] "Acoustic information" refers to data that records or transmits sound information, such as speech and music, in digital format, which is perceived through hearing.

[0632] "Receiving means" refers to a method or device for acquiring video and audio information from an external source and incorporating it into an internal system.

[0633] "Analysis" is the process of examining input data in detail, understanding its content and structure, and classifying or processing it according to a specific purpose.

[0634] "Computational means" refers to a method or apparatus that includes algorithms or processes for processing data and generating results according to a specific purpose.

[0635] "Effect" refers to physical stimuli such as vibrations or wind that are felt by the user in a specific scenario.

[0636] "Generating" refers to the process of creating new data or information based on specific conditions or input data.

[0637] "Transmission means" refers to the route or method for transmitting generated data to other devices or equipment.

[0638] A "sensory device" is a device used by users to feel physical stimuli, such as vibrations or wind, directly providing the user with the experience.

[0639] The system for carrying out the present invention includes various components for analyzing video and audio information and providing the user with a physical experience based on the analysis results.

[0640] The server receives video and audio information. The received information is analyzed using a generative AI model. This analysis calculates effect information corresponding to a specific scene. This effect information includes physical stimuli such as vibration and wind, thereby generating a sensory experience appropriate to the scene.

[0641] The effect information generated from the analysis results is transmitted to the terminal. The terminal receives this information and sends instructions to the sensory device being used by the user. This sensory device includes a vibration transmission device and a fan, and is configured to provide physical feedback according to the effect data. Data transmission and control are performed in real time using communication technologies such as Bluetooth.

[0642] As a concrete example, consider a scenario where a car chase scene appears while a user is watching a movie. Analysis of this scene generates strong vibrations and wind effects, which are then immediately delivered to the user. As a result, the user can experience a sense of immersion as if they were actually there. Furthermore, the analysis can use prompts such as, "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car speeds over a bump," to generate an effective sensory experience.

[0643] In this way, the present invention provides a next-generation video viewing experience that allows for a high level of realism and immersion even within the home.

[0644] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0645] Step 1:

[0646] The server inputs video and audio information received from the terminal. This information is digital data of videos and movies and includes visual and auditory information. The server inputs this data into a generating AI model, which then analyzes the data according to the prompts.

[0647] Step 2:

[0648] The server analyzes the received video and audio information using a generative AI model. Using the prompt "Suggest appropriate vibration and wind effects for the following movie scene: A scene where a car goes over a bump at high speed," it extracts features from each scene and calculates data related to physical effects. The output of this step is vibration and wind data corresponding to the scene.

[0649] Step 3:

[0650] The server transmits the generated vibration and wind data to the terminal. This transmission is performed in real time using communication technologies such as Bluetooth and Wi-Fi. The output data is used by the terminal to provide control instructions to the user's sensory device.

[0651] Step 4:

[0652] The terminal sends specific control signals to the user's sensory device based on vibration and wind data received from the server. Here, the vibration transmission device adjusts the vibration intensity, and the fan adjusts the wind speed. The input for this step is physical effect data from the server, and the output is the physical stimulus generated by the user's sensory device.

[0653] Step 5:

[0654] The user receives physical stimuli generated through the sensory device, experiencing immersion in the movie or video. At this stage, the specific physical sensations the user will experience are clarified. The input in this step is the physical experience of vibration and wind provided to the user, and the output is the user's satisfaction with the experience.

[0655] 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.

[0656] This invention realizes a system that provides a deeper immersive experience when watching movies by recognizing the user's emotions and adjusting physical effects according to the movie scenes. By using an emotion engine that analyzes the user's emotions in real time and provides feedback, it is possible to customize the optimal experience for each individual user.

[0657] To explain in more detail, when a user plays a movie, the device sends video and audio data to the server. At the same time, the device sends the user's facial expressions and voice to an emotion engine, which analyzes the user's emotions. The server receives this data, analyzes it using AI, and generates physical effects appropriate to the movie scene.

[0658] The generated physical effect data is transmitted to the terminal, which then sends commands to the user's sensory devices, such as bone conduction devices or ventilation devices. Here, based on the analysis results of the emotion engine, the intensity and nature of the physical effects can be dynamically adjusted. For example, if the system detects that the user is feeling tense in a particular scene, the vibrations can be enhanced to match that scene, further increasing immersion.

[0659] For example, if a user is surprised during an action scene, the emotion engine detects this and instructs the server to increase the intensity of the vibrations. Conversely, if the system detects that the user is relaxed during a calm scene, it reduces the intensity of the vibrations and wind to maintain a quiet environment. This allows users to become emotionally immersed in the movie's storyline and enjoy a personalized experience.

[0660] Thus, the present invention aims to significantly improve the viewing experience and deepen the impression of a film by providing physical effects that respond to the user's emotions. The entire system is equipped with technical elements that enhance the user's sensitivity to emotions and allow them to enjoy the content of the film even more.

[0661] The following describes the processing flow.

[0662] Step 1:

[0663] The user plays the movie on their device. The device immediately prepares to send the movie's video and audio data to the server.

[0664] Step 2:

[0665] The device captures the user's facial expressions with its camera and picks up their voice with its microphone. This data is then sent to the emotion engine.

[0666] Step 3:

[0667] The server receives video and audio data transmitted from the terminal and analyzes it using AI. This allows it to determine whether physical effects are necessary for each scene in the film.

[0668] Step 4:

[0669] The emotion engine analyzes the user's facial expression data and voice data to recognize the user's current emotional state. This information is then sent back to the server.

[0670] Step 5:

[0671] The server generates vibration and wind data based on the movie scene analysis results and emotion data from the emotion engine. This generated data is then adjusted to match the user's emotions.

[0672] Step 6:

[0673] The server transmits the generated vibration and wind data to the terminal. Based on the received data, the terminal sends specific instructions to the bone conduction device and the fan.

[0674] Step 7:

[0675] Based on instructions transmitted by the device, the sensory device provides the user with appropriate physical effects. Users can experience vibrations and wind tailored to the scene, allowing them to immerse themselves in the visual experience.

[0676] (Example 2)

[0677] 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".

[0678] Traditional movie viewing systems primarily focus on visual and auditory experiences, lacking the ability to customize the experience based on the user's emotions. Therefore, there is a need to provide physical effects that respond to the user's emotional state to create a more immersive movie experience.

[0679] 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.

[0680] In this invention, the server includes input means for inputting video and audio information, generation means for analyzing the video and audio information and generating physical effects corresponding to the scene, emotion analysis means for acquiring and analyzing the user's emotional information in real time, transmission means for transmitting the generated physical effect information to the user's bodily sensory device, and adjustment means for dynamically adjusting the intensity and properties of the physical effects based on the results of the emotion analysis means. This makes it possible to provide a personalized movie experience that responds to the user's emotions and enhances immersion.

[0681] "Visual information" refers to digital data that includes visual elements, such as movies and video content.

[0682] "Audio information" refers to sound data that is played in sync with the video, and includes dialogue, music, and sound effects.

[0683] "Input means" refers to hardware or software used to input video and audio information into the system.

[0684] "Generation means" refers to devices or algorithms that analyze input video and audio information and create physical effects based on the results.

[0685] "Emotional information" refers to data that indicates the user's psychological state, and is obtained through facial expression analysis and voice analysis.

[0686] "Emotional analysis means" refers to hardware or software used to acquire and analyze a user's emotional information.

[0687] "Physical effect information" refers to data used to generate tactile sensations such as touch and wind that are presented to the user.

[0688] "Transmission means" refers to a device or protocol that has a communication function for transmitting generated physical effect information to the user's sensory device.

[0689] "Adjustment means" refers to a device or software equipped with the function of dynamically changing the intensity and nature of physical effects based on analyzed emotions.

[0690] A "body sensory device" is a device that presents physical effects to the user, and includes bone conduction devices and air blowers.

[0691] The present invention aims to analyze a user's emotional information based on visual and auditory data while the user is watching a movie, and to provide corresponding physical effects. This system consists of a terminal for inputting "video information" and "audio information," a server for receiving this data, and a user's bodily sensory device.

[0692] The device transmits video and audio information to the server in real time during movie playback. This process utilizes existing streaming technology to achieve high-speed data transfer. Furthermore, to analyze the user's emotions, the device uses its camera and microphone to collect the user's facial expressions and voice, and transmits this data to an emotion analysis system.

[0693] The server generates physical effects appropriate to the scene using AI-powered generation methods based on data transmitted from the terminal. The generated physical effect information is transmitted to the user's bodily sensory device via Bluetooth or Wi-Fi through the terminal.

[0694] This allows users to experience physical effects that match the scenes in the movie. For example, during action scenes, they can feel strong vibrations through the bone conduction device, and during calmer scenes, they can feel a gentle breeze through the fan.

[0695] As a concrete example, the following is an example of a prompt: "Please tell me how to set the vibration intensity when the user is surprised." This prompt is used to obtain guidance for the system to effectively adjust the physical effects using a generative AI model.

[0696] As described above, the present invention provides a system that achieves a deeper sense of immersion by offering a personalized movie experience that responds to the user's emotions.

[0697] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0698] Step 1:

[0699] The terminal sends video and audio information to the server when movie playback begins. Specifically, the terminal buffers video and audio data using a streaming protocol via movie playback software and performs input processing to transfer it to the server in real time. As a result, the transmission of video and audio data from the terminal to the server is output.

[0700] Step 2:

[0701] The device uses a camera and microphone to collect user emotional information. The camera records and analyzes the user's facial expressions, and the microphone records and analyzes the user's voice and tone. This collects raw data about the user's current emotional state. This input data is sent to an emotion analysis device for analysis, and the user's emotional information is output.

[0702] Step 3:

[0703] The server analyzes video, audio, and emotional information received from the terminal. Using AI-powered generation methods, it calculates data to generate physical effects corresponding to movie scenes. The inputs here are video data, audio data, and emotional data, and the output is appropriate physical effect data for each scene. The server analyzes the characteristics of the scene and selects the effect that best matches the user's emotional state.

[0704] Step 4:

[0705] The server transmits the generated physical effect data to the terminal. Based on the received data, the terminal sends control signals to the user's bodily sensory devices. In this process, data communication protocols (e.g., Bluetooth, Wi-Fi) are used to send signals to the devices and generate outputs that realize the physical effect. Specifically, the terminal sends vibration signals to the bone conduction device and airflow signals to the wind power device.

[0706] Step 5:

[0707] Users experience physical effects from a bodily sensory device based on commands sent from the terminal. They receive emotionally relevant feedback, resulting in an immersive movie-watching experience. Users also receive tactile and wind feedback, further immersing themselves in the film's storyline.

[0708] (Application Example 2)

[0709] 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".

[0710] This project aims to address the challenge of a lack of methods and systems that allow users to more deeply experience the emotions associated with each scene and achieve a greater sense of immersion during movie viewing. Furthermore, there is a need for technology that can analyze user emotions in real time and provide appropriate physical feedback accordingly.

[0711] 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.

[0712] In this invention, the server includes receiving means for receiving video and audio information, analysis means for analyzing the video and audio information and generating user emotions according to the scene using an AI algorithm, and control means for generating physical effects based on the analysis results and commanding the user's sensory device to perform these physical effects. As a result, the user can experience vibrations and airflow corresponding to their emotions in each scene of the movie, enabling an immersive and personalized viewing experience.

[0713] "Visual and audio information" refers to the visual and auditory data obtained from movies and video content that users watch.

[0714] "Receiving means" refers to components of devices or software that have the function of acquiring video and audio information from an external source.

[0715] "Analysis means" refers to the process of utilizing generative AI algorithms to identify and analyze the user's emotions using received video and audio information.

[0716] A "generative AI algorithm" is an algorithm that uses artificial intelligence technology to analyze data and identify user emotions.

[0717] A "control means" is a function that commands the user's sensory device to produce physical effects based on information obtained by the analysis means.

[0718] "Physical effects" refer to feedback such as vibrations and airflow that users can experience, and are provided to enhance the viewing experience.

[0719] A "sensory device" is a device or equipment that allows users to receive physical effects through touch and other sensory experiences, in addition to sight and hearing.

[0720] To implement this invention, the system mainly consists of a server, a terminal, and a user.

[0721] The server is equipped with a receiving device that receives video and audio information. This allows data from movies and video content to be transmitted from the terminal to the server. The server uses a generative AI algorithm to analyze the received data, performing sentiment analysis. Specifically, it uses Python's OpenCV and Dlib to capture the user's facial expressions and the Google Cloud Speech-to-Text API to convert the audio data into text. Based on this, the server analyzes the user's emotions in real time.

[0722] Based on the analyzed emotional data, the server generates physical effects and sends control commands to the terminal. These control commands are sent to the user's sensory device via a microcontroller such as an Arduino. This sensory device includes bone conduction devices and airflow generators, allowing the user to experience vibrations and wind corresponding to scenes in the movie.

[0723] For example, if a user feels surprised during an action scene, the generative AI model detects this emotion and sends a command to the HMD (head-mounted display) to enhance vibrations. On the other hand, if the system recognizes that the user is relaxed during a quiet scene, it personalizes the viewing experience by recreating a gentle breeze through a fan.

[0724] An example of a prompt message would be, "If the system detects that the user is excited by an action scene in a movie, activate the vibration device more strongly." This allows the generative AI model to provide appropriate feedback based on the user's emotions.

[0725] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0726] Step 1:

[0727] The device acquires video and audio information from the user. This information is sent to the server as input data. For example, this includes facial expression data acquired by the device's camera and audio data acquired by the microphone.

[0728] Step 2:

[0729] The server analyzes the received video and audio information. The input facial expression data is analyzed using OpenCV and Dlib, and the audio data is converted to text using the Google Cloud Speech-to-Text API. The analysis results in the user's emotional state being output as data.

[0730] Step 3:

[0731] The server processes the emotional data from the analysis results using a generative AI model. This process generates command data for physical effects based on the user's emotions. For example, if the user feels surprised, a command to enhance vibration is generated.

[0732] Step 4:

[0733] The server transmits command data for the generated physical effect to the terminal. The terminal receives this command and converts it into specific action commands to be applied to the sensory device. This enables the device to perform actions based on the commands.

[0734] Step 5:

[0735] The sensory device receives motion commands transmitted from the terminal and provides the user with physical effects such as vibration or wind. For example, the user can experience vibration effects during action scenes. This enhances the immersive viewing experience.

[0736] 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.

[0737] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0738] 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 robot 414.

[0739] 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.

[0740] 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.

[0741] 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.

[0742] 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.

[0743] 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.

[0744] 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."

[0745] 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.

[0746] 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.

[0747] 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.

[0748] 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.

[0749] 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.

[0750] 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.

[0751] 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.

[0752] 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.

[0753] 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.

[0754] 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.

[0755] 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.

[0756] 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 as being incorporated by reference.

[0757] The following is further disclosed regarding the embodiments described above.

[0758] (Claim 1)

[0759] An input means for inputting video data and audio data,

[0760] A generation means that analyzes the video and audio data and generates physical effects corresponding to the scene,

[0761] A transmission means for sending the generated physical effect data to the user's sensory device,

[0762] A system that includes this.

[0763] (Claim 2)

[0764] The system according to claim 1, wherein the generated physical effect includes vibration data and wind data.

[0765] (Claim 3)

[0766] The system according to claim 1, wherein vibrations experienced by the user are provided through a bone conduction device, and wind is provided through a blower.

[0767] "Example 1"

[0768] (Claim 1)

[0769] Information input means for inputting visual and auditory information of digital content,

[0770] A data generation means that analyzes the visual and auditory information and generates scene-specific physical action data using a generated AI model,

[0771] Information transmission means that transmits generated physical action data to the user's input device via a prompt message,

[0772] A control means for operating an external device to provide feedback to the user based on the generated physical action data,

[0773] A system that includes this.

[0774] (Claim 2)

[0775] The system according to claim 1, wherein the generated physical action includes vibration information and aerodynamic data.

[0776] (Claim 3)

[0777] The system according to claim 1, wherein vibrations experienced by the user are provided through a bone conduction device, and wind is provided through a device for blowing air.

[0778] "Application Example 1"

[0779] (Claim 1)

[0780] A receiving means for inputting video and audio information,

[0781] A computation means for analyzing the video and audio information and generating effects appropriate to the scene,

[0782] A means for transmitting the generated effect data to the sensory device,

[0783] An adjustment means that controls the effect data generated in the scene and provides a real-time experience,

[0784] A system that includes this.

[0785] (Claim 2)

[0786] The system according to claim 1, wherein the generated physical effects include vibration data and wind data, and the analysis means detects the content of movies and videos using artificial intelligence.

[0787] (Claim 3)

[0788] The system according to claim 1, wherein vibrations experienced by the user are provided through a vibration transmission device, wind is provided through a blower, and these devices are controlled via Bluetooth.

[0789] "Example 2 of combining an emotion engine"

[0790] (Claim 1)

[0791] An input means for inputting video information and audio information,

[0792] A generation means that analyzes the video and audio information and generates physical effects corresponding to the scene,

[0793] A sentiment analysis method that acquires and analyzes user sentiment information in real time,

[0794] A transmission means for transmitting generated physical effect information to the user's bodily sensory device,

[0795] Based on the results of the emotion analysis means, adjustment means dynamically adjust the intensity and nature of the physical effect,

[0796] A system that includes this.

[0797] (Claim 2)

[0798] The system according to claim 1, wherein the generated physical effect includes vibration information and wind information.

[0799] (Claim 3)

[0800] The system according to claim 1, wherein vibrations experienced by the user are provided through a bone conduction device, and wind is provided through a blower.

[0801] "Application example 2 of combining emotional engines"

[0802] (Claim 1)

[0803] Receiving means for receiving video and audio information,

[0804] An analysis means that analyzes the video and audio information and generates user emotions according to the scene using an AI algorithm,

[0805] A control means that generates a physical effect based on the analysis results and commands the user's sensory device to execute the physical effect,

[0806] A system that includes this.

[0807] (Claim 2)

[0808] The system according to claim 1, wherein the generated physical effects include commands for controlling vibration and airflow.

[0809] (Claim 3)

[0810] The system according to claim 1, wherein vibrations experienced by the user are provided via a bone conduction device, and airflow is provided via an airflow generating device. [Explanation of Symbols]

[0811] 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. An input means for inputting video data and audio data, A generation means that analyzes the video and audio data and generates physical effects corresponding to the scene, A transmission means for sending the generated physical effect data to the user's sensory device, A system that includes this.

2. The system according to claim 1, wherein the generated physical effect includes vibration data and wind data.

3. The system according to claim 1, wherein vibrations experienced by the user are provided through a bone conduction device, and wind is provided through a blower.

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