System

Abstract

To provide a system.SOLUTION: A system includes: means for receiving input of a dream of a user; AI means for interpreting the inputted dream; means for generating a content including a story or a video image on the basis of an interpretation result; and means for distributing the generated content to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] There is no way for users to deepen their self-understanding and creativity by specifically recreating the content of their dreams and interpreting their meaning. [Means for solving the problem]

[0005] The company offers a system that accepts user dream input, uses AI to interpret the dream, and generates virtual reality experiences, music, videos, etc. based on the interpretation results. This system allows users to explore the symbols and messages in their dreams, deepening self-understanding and creativity. [Brief explanation of the drawings]

[0006] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 2 is a sequence diagram showing a flow of processing in the data processing system according to the first embodiment of the first form example. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1 of Embodiment 1. [Figure 13] FIG. 10 is a sequence diagram showing a processing flow of a data processing system in a second embodiment of the second form example. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 of Embodiment Example 2. [Figure 15] FIG. 10 is a sequence diagram showing the flow of processing in a data processing system according to a third embodiment of the third embodiment. [Figure 16] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 3 of Embodiment 3. [Figure 17]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in the first embodiment of the first form example when an emotion engine is combined. [Figure 18] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1 of Form Example 1 when an emotion engine is combined. [Figure 19] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in the second embodiment of the second form example when an emotion engine is combined. [Figure 20] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 of Form Example 2 when an emotion engine is combined. [Figure 21] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in the third embodiment of the third form example when an emotion engine is combined. [Figure 22] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 3 of Form Example 3 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0007] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0008] First, the terms used in the following description will be explained.

[0009] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (TENSOR PROCESSING UNIT (registered trademark)).

[0010] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0011] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g.,

[0012] hard disk), or magnetic tape.

[0013] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0014] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0015] [First embodiment]

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

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

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

[0021] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0026] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0027] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described.

[0028] "Example 1"

[0029] One embodiment of the present invention is a device with a user interface. This device accepts input of dream content from a user. The input is generally in text format, but voice input and image input are also possible.

[0030] "Example 2"

[0031] Next, the AI ​​engine interprets the dream by analyzing the symbols and messages within the dream. The AI ​​engine uses technologies such as natural language processing and image analysis to understand the dream content and extract its meaning.

[0032] "Example 3"

[0033] Finally, a virtual reality experience, music, and video are generated based on the interpretation. These contents are designed to allow users to concretely experience the world of their dreams. For example, if a user dreams of being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and video generated accordingly.

[0034] The processing flow of each embodiment will be described below.

[0035] "Example 1"

[0036] Step 1: A device with a user interface accepts input from the user about the dream content. This input is generally in text format, but voice input and image input are also possible.

[0037] "Example 2"

[0038] Step 1: The AI ​​engine interprets the dream content. This interpretation is done by analyzing the symbols and messages of the dream.

[0039] Step 2: The AI ​​engine uses technologies such as natural language processing and image analysis to understand the content of the dream and extract its meaning.

[0040] "Example 3"

[0041] Step 1: Virtual reality experiences, music, videos, etc. are generated based on the interpretation results. These contents are designed to allow users to concretely experience the dream world.

[0042] Step 2: For example, if the user is dreaming about being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and visuals generated to match.

[0043] Example 1

[0044] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0045] In conventional dream interpretation systems, even if a user inputs the content of their dream, it is unclear whether the interpretation results will be beneficial to the user. There is also no guarantee that the interpretation results will deepen the user's self-understanding or creativity. Furthermore, the process of interpreting dream content is complicated, making it difficult for users to use.

[0046] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0047] In this invention, the server includes a means for accepting a user's dream input, a means for transmitting the input dream to the server, a means for the server to send a prompt to the generative AI model, a means for the generative AI model to generate a dream interpretation, a means for the server to receive the interpretation and transmit it to the terminal, and a means for the terminal to display the interpretation to the user. This allows the user to easily input the content of their dream and quickly receive the interpretation. Furthermore, by using the generative AI model, it is possible to perform advanced analysis of the content of dreams and provide interpretation results that can deepen the user's self-understanding and creativity.

[0048] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[0049] The "means for transmitting the input dream to the server" is a communication means for transmitting the content of the dream input by the user as data to the server.

[0050] "Means for the server to send prompt sentences to the generative AI model" refers to the means by which the server generates prompt sentences based on the content of the dream received and sends the prompt sentences to the generative AI model.

[0051] "The means by which the generative AI model generates a dream interpretation result" refers to the means by which the generative AI model analyzes the prompt sentence, interprets the content of the dream, and generates an interpretation result.

[0052] "Means for the server to receive the interpretation results and send them to the terminal" refers to the means for the server to receive the interpretation results returned from the generative AI model and send those interpretation results to the terminal.

[0053] The "means for the terminal to display the interpretation result to the user" refers to the means for the terminal to visually display the interpretation result received from the server to the user.

[0054] The present invention relates to a system that allows a user to input the content of a dream and interpret that content. A specific embodiment of this system will be described below.

[0055] Users input the details of their dreams using devices such as smartphones or tablets. The input format can be text, voice, or images. For example, consider the case where a user inputs the text, "Last night, I had a dream about flying."

[0056] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, "Last night, I had a dream about flying" is sent to the server as text data.

[0057] The server generates a prompt sentence based on the received dream content. The generated prompt sentence is sent to a generative AI model. For example, GPT-4 (registered trademark), an advanced natural language processing model, is used as the generative AI model. An example of a prompt sentence is, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream."

[0058] The generative AI model interprets the dream content based on the input prompt and returns the results to the server. The server receives the interpretation results returned from the generative AI model and sends them to the device. For example, the server may send an interpretation result such as, "Dreams of flying often symbolize freedom and liberation."

[0059] The device then displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation."

[0060] The system allows users to easily input the content of their dreams and quickly receive interpretations. Using generative AI models, the system can perform advanced analysis of dream content and provide interpretations that can deepen users' self-understanding and creativity.

[0061] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0062] Step 1:

[0063] The user inputs the details of their dream.

[0064] The user inputs the details of their dream using a device such as a smartphone or tablet. The input format is text, voice, or image. For example, the user might input "I had a dream about flying last night." The input data is saved on the device.

[0065] Step 2:

[0066] The terminal sends the input data to the server.

[0067] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, the text data "I dreamed of flying last night" is sent to the server. The input data is sent using an HTTP POST request.

[0068] Step 3:

[0069] The server sends a prompt to the generative AI model.

[0070] The server generates a prompt based on the received dream content. The generated prompt is sent to the generative AI model. For example, the prompt might be, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream." The prompt is sent to the API endpoint of the generative AI model.

[0071] Step 4:

[0072] A generative AI model generates dream interpretation results.

[0073] The generative AI model receives the prompt sent from the server and interprets the content of the dream. The generative AI model uses, for example, GPT-4, an advanced natural language processing model. The model generates an interpretation result based on the prompt. For example, it might generate an interpretation result such as, "Dreams of flying often symbolize freedom and liberation." The interpretation result is returned to the server in JSON format.

[0074] Step 5:

[0075] The server receives the interpretation results and sends them to the terminal.

[0076] The server receives the interpretation results returned by the generative AI model and sends them to the device. For example, the interpretation result sent to the device might be, "Dreams of flying often symbolize freedom and liberation." The interpretation result is sent as an HTTP response.

[0077] Step 6:

[0078] The terminal displays the interpretation results to the user.

[0079] The device displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation." The interpretation results are displayed in the user interface.

[0080] (Application example 1)

[0081] Next, a description will be given of Application Example 1 of Embodiment Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0082] Conventional dream analysis systems simply interpret the content of a user's dream, but do not generate or distribute specific content based on the interpretation results. As a result, there is a lack of means for users to gain a deeper understanding of the content of their dreams and enhance their creativity. In addition, there is a need to enrich the user experience by generating and providing original stories and video content based on the content of dreams.

[0083] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0084] In this invention, the server includes a means for receiving input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user. This allows the user to receive original stories and video content based on the content of their dream, deepening their self-understanding and creativity.

[0085] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dreams in text, audio, or image form.

[0086] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[0087] "Means for generating original stories and visual content based on interpretation results" refers to a device or software that automatically generates new stories and visual content based on the content of dreams interpreted by AI means.

[0088] "Means for delivering generated content to users" refers to devices or software, including communication means and distribution platforms, for providing generated stories and video content to users.

[0089] The following system configuration is used as an embodiment of this invention. The system includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user.

[0090] 1. A means of accepting user dream input

[0091] Users use devices such as smartphones and tablets to input the details of their dreams in text, voice, or image format. The input interface is provided through a dedicated application, which is designed to allow users to easily input the details of their dreams.

[0092] 2. AI method for interpreting input dreams

[0093] The server receives the dream content submitted by the user and analyzes it using a generative AI model (e.g., GPT-4). The analysis uses natural language processing techniques to understand the dream's symbolism and messages, converting the dream content into concrete stories and themes.

[0094] 3. A means of generating original stories and video content based on the interpretation results

[0095] The server uses a generative AI model to generate original stories and video content based on the interpreted dream content. The generated content reflects the themes and symbolism of the user's dream, providing a new experience for the user.

[0096] 4. A means of delivering generated content to users

[0097] The generated stories and video content are delivered from the server to the user's device, where they can view, save, and share the content through a dedicated application.

[0098] Specific examples

[0099] For example, if a user enters "I had a dream about flying," the server receives this information and analyzes it using a generative AI model. Based on the analysis results, original stories and video content themed around the experience of flying are generated. The generated content is then delivered to the user's device, where the user can enjoy it.

[0100] Prompt Sentence Examples

[0101] User's dream: I had a dream about flying.

[0102] Generate a story based on this dream.

[0103] In this way, a system will be realized that generates and distributes original stories and video content based on the content of a user's dreams, allowing users to gain a deeper understanding of their dreams and enhance their creativity.

[0104] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0105] Step 1:

[0106] Users input the details of their dreams in text, voice, or image format using a device such as a smartphone or tablet, and the input data is sent to a server via a dedicated application.

[0107] Input: User's dream content (text, audio, images)

[0108] Output: Dream content data sent to the server

[0109] Step 2:

[0110] The server receives dream content data sent by users, stores it in a database, and prepares it for analysis.

[0111] Input: Dream content data sent by the user

[0112] Output: Dream content data stored in a database

[0113] Step 3:

[0114] The server uses a generative AI model (e.g., GPT-4) to analyze the stored dream data, using natural language processing techniques to extract dream symbols and messages.

[0115] Input: Dream content data stored in the database

[0116] Output: Analyzed dream symbols and messages

[0117] Step 4:

[0118] Based on the analysis results, the server uses a generative AI model to generate original stories and video content, creating content that reflects the themes and symbolism of the dream.

[0119] Input: Analyzed dream symbolism or message

[0120] Output: Original generated stories and video content

[0121] Step 5:

[0122] The server then distributes the generated stories and video content to users' devices, where users can view, save, and share the content through a dedicated application.

[0123] Input: Generated original story or video content

[0124] Output: Content delivered to the user's device

[0125] In this way, original stories and video content based on the content of the user's dreams are generated and provided to the user, allowing the user to gain a deeper understanding of their own dreams and enhance their creativity.

[0126] Example 2

[0127] Next, a description will be given of Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0128] Conventional dream interpretation systems have had difficulty accurately analyzing the content of a user's dream and properly interpreting its symbols and messages. Furthermore, they lacked a means to display the interpretation results in an easy-to-understand manner, preventing users from deepening their self-understanding and creativity.

[0129] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a natural language processing means for analyzing the input dream, a generation AI model means for interpreting the content of the analyzed dream, and a means for displaying the interpretation result to the user. This makes it possible to accurately analyze the content of the user's dream, appropriately interpret its symbols and messages, and display the interpretation result in an easy-to-understand manner.

[0130] A "user" is an individual who uses the system to input the contents of their dreams and receive the interpretation results.

[0131] "Means for accepting dream input" refers to a function that provides an interface for users to input the content of their dreams in text format.

[0132] "Natural language processing means" refers to technology for analyzing the content of input dreams and extracting important keywords and phrases.

[0133] "Generative AI model means" refers to an artificial intelligence model that interprets dream symbols and messages based on keywords and phrases extracted by natural language processing means.

[0134] "Means for displaying interpretation results to the user" refers to a function for displaying interpretation results obtained by the generative AI model means to the user in an easy-to-understand manner.

[0135] A "symbol" refers to an element in a dream that has a specific meaning or message.

[0136] "Message" refers to the meaning or intention conveyed in a dream.

[0137] "Analysis" refers to the process of analyzing input data and extracting meaning and patterns.

[0138] "Interpretation" refers to the process of understanding and explaining the meaning and intent of analyzed data.

[0139] MODE FOR CARRYING OUT THE INVENTION

[0140] This invention relates to a system that analyzes the content of a user's dreams and interprets their symbols and messages. The following describes how to implement this system in concrete terms.

[0141] Hardware and software used

[0142] Hardware: Server with high-performance CPU and GPU

[0143] software:

[0144] Natural language processing libraries (e.g., spaCy, NLTK)

[0145] Image analysis library (e.g., OpenCV, TENSORFLOW (registered trademark))

[0146] Generative AI models (e.g., GPT-4)

[0147] System Overview

[0148] This system allows users to input the details of their dreams, analyzes them, and provides interpretations. Users input the details of their dreams using a device (PC or smartphone), and the server analyzes the content to generate interpretations, which are then sent back to the device and displayed to the user.

[0149] Specific examples

[0150] Example user input:

[0151] The user opens the app on their smartphone and enters the details of their dream, such as, "Last night, I dreamed I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."

[0152] Example prompt for a generative AI model:

[0153] "Below are some dreams that users have had. Please interpret the symbols and messages of these dreams. Dream content: 'Last night I dreamed that I was swimming in a big ocean. There were lots of fish in the ocean and I felt very happy.'"

[0154] System Operation

[0155] 1. User enters dream content:

[0156] Using a device, users access a dedicated application or web interface and enter the details of their dream into a text box.

[0157] 2. The device sends the input data to the server:

[0158] The device converts the entered dream content into JSON format and sends the data to the server using an encrypted protocol (e.g., HTTPS).

[0159] 3. The server receives the data and passes it to the AI ​​engine:

[0160] The server decodes the received data, parses the JSON format data, and calls an API to pass the data to the AI ​​engine.

[0161] 4. AI engine analyzes dream content:

[0162] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases, and, if necessary, analyzes associated image data using image analysis libraries (e.g., OpenCV, TensorFlow).

[0163] 5. AI engine interprets dream meanings:

[0164] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The AI ​​engine inputs the prompt sentence into the generative AI model and obtains the interpretation result.

[0165] 6. The server sends the interpretation result to the device:

[0166] The server converts the interpretation results received from the AI ​​engine into JSON format and sends the interpretation results to the terminal using an encryption protocol.

[0167] 7. The terminal displays the interpretation result to the user:

[0168] The terminal decodes the received interpretation result and displays it in a user-friendly format, such as in a text box or a pop-up window.

[0169] In this way, users can analyze the content of their dreams and understand their symbols and messages, allowing them to deepen their self-understanding and creativity.

[0170] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0171] Step 1:

[0172] The user inputs the details of their dream.

[0173] The user uses a device to access a dedicated application or web interface and enters the content of their dream into a text box, which is then saved as text data on the device.

[0174] Step 2:

[0175] The terminal sends the input data to the server.

[0176] The device converts the dream content entered by the user into JSON format. The converted data will be in the format {"dream": "Last night, I had a dream that I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."}. The device sends this data to the server using an encrypted protocol (e.g., HTTPS).

[0177] Step 3:

[0178] The server receives the data and passes it to the AI ​​engine.

[0179] The server decodes the received JSON data and extracts the dream content. The extracted data is passed to the AI ​​engine in text format. The server then sends the data to the AI ​​engine's API endpoint.

[0180] Step 4:

[0181] An AI engine analyzes the content of dreams.

[0182] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases. For example, keywords like "ocean," "fish," and "happiness" are extracted. The results of this analysis are used in the next step.

[0183] Step 5:

[0184] An AI engine interprets the meaning of dreams.

[0185] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The prompt sentence, "The content of the dream the user had is shown below. Please interpret the symbolism and message of this dream. Dream content: 'Last night, I dreamed of swimming in a large ocean. There were many fish in the ocean, and I felt very happy.'" is input into the generative AI model. The generative AI model generates an interpretation result and returns it to the AI ​​engine.

[0186] Step 6:

[0187] The server sends the interpretation results to the terminal.

[0188] The server converts the interpretation results received from the AI ​​engine into JSON format. The converted data will be in the format {"interpretation": "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace of mind."}. The server then sends this data to the device using an encryption protocol.

[0189] Step 7:

[0190] The terminal displays the interpretation results to the user.

[0191] The device decodes the received JSON data and extracts the interpretation. The extracted interpretation is displayed in a text box or pop-up window. The user can confirm the interpretation, which reads, "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace."

[0192] (Application example 2)

[0193] Next, a description will be given of Application Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0194] Conventional dream analysis systems simply record the content of a user's dreams, but are unable to analyze and provide users with the symbols and messages of their dreams. Furthermore, they lack the functionality to provide related content based on the analysis results, making it difficult for users to deepen their self-understanding and creativity. This has led to a demand for a system that allows users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[0195] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0196] In this invention, the server includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for providing related content based on the interpretation result, a voice recognition means, a natural language processing means, and an image processing means, which make it possible to analyze the content of a user's dream, extract its symbols and messages, and provide related content.

[0197] "Means for accepting user dream input" refers to an interface that allows the user to input the content of their dream by voice or text.

[0198] "AI means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and extracts their symbols and messages.

[0199] "Means for providing relevant content based on interpretation results" is a function for providing users with content such as videos, music, and articles that are relevant to them based on the results of their dream analysis.

[0200] "Voice recognition means" is a technology that converts the content of a user's dream spoken into text.

[0201] "Natural language processing means" is a technology for analyzing text data and understanding its meaning and symbols.

[0202] "Image processing means" refers to techniques for acquiring and displaying relevant images.

[0203] A system for implementing this invention includes means for accepting input of a user's dreams, AI means for interpreting the input dreams, means for providing related content based on the interpretation results, speech recognition means, natural language processing means, and image processing means.

[0204] First, the user inputs the details of their dream by voice using a device such as a smartphone. The voice recognition means converts the user's voice into text data. The "speech_recognition" library is used for voice recognition.

[0205] The converted text data is then analyzed using natural language processing (NLP) tools, using the "transformers" library, to extract dream symbols and messages. The results of this analysis provide key information for understanding the content of the user's dream.

[0206] Based on the analysis results, a means of providing related content is activated. For example, if the dream content is "a dream of flying," related movies and images are provided. In this case, the "PIL" library is used as an image processing means to obtain and display related images. In addition, the "requests" library is used to make an API request to obtain related content.

[0207] For example, if a user says, "Last night, I dreamed of flying," speech recognition will convert that into text, and natural language processing will extract symbols like "freedom" and "adventure," after which relevant movies and images will be provided.

[0208] An example prompt is:

[0209] User's dream: "Last night I dreamed about flying."

[0210] Analysis results: "Freedom", "Adventure"

[0211] Related content: "Movies and images that give you the feeling of freedom in the sky"

[0212] In this way, it is possible to analyze the content of a user's dreams, extract symbols and messages from them, and provide related content, allowing users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[0213] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0214] Step 1:

[0215] The user inputs the content of their dream by voice using a device such as a smartphone.

[0216] Input: User's voice data

[0217] Output: Audio data

[0218] Specific operation: The user speaks about their dream into the device's microphone.

[0219] Step 2:

[0220] The terminal uses a voice recognition means to convert the user's voice into text data.

[0221] Input: Audio data

[0222] Output: Text data

[0223] What it does: Uses the "speech_recognition" library to convert audio data into text.

[0224] Step 3:

[0225] The server uses natural language processing means to analyze the text data and extract symbols and messages from the dream.

[0226] Input: Text data

[0227] Output: Analysis results (symbols and messages)

[0228] What it does: It uses the "transformers" library to parse text data and extract dream symbols and messages.

[0229] Step 4:

[0230] The server operates a means for providing related content based on the analysis results.

[0231] Input: Analysis results (symbols and messages)

[0232] Output: Related content (images, movies, etc.)

[0233] What it does: It uses the "requests" library to make API requests to get related images and movies.

[0234] Step 5:

[0235] The terminal uses image processing means to display the acquired image.

[0236] Input: Related content (image)

[0237] Output: The displayed image

[0238] Specific operation: Uses the "PIL" library to display the acquired image.

[0239] Step 6:

[0240] Users can browse related content provided to gain a deeper understanding of the content of their dreams.

[0241] Input: Displayed image or movie

[0242] Output: User's understanding and feedback

[0243] Specific behavior: The user looks at the device screen and views the provided content.

[0244] Example 3

[0245] Next, a description will be given of a third embodiment of the third embodiment. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0246] In conventional systems, it was difficult to specifically experience the content of a user's dream, and there was a lack of means to interpret the dream and reproduce its results visually and audibly. Furthermore, there was no effective method to improve self-understanding and creativity based on the content of the user's dream.

[0247] The identification process by the identification processing unit 290 of the data processing device 12 in the third embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a means for using a generative AI model to interpret the input dream, a means for generating a virtual reality experience based on the interpretation result, a means for generating music based on the interpretation result, a means for generating video based on the interpretation result, and a means for providing the generated virtual reality experience, music, and video to the user. This allows the user to concretely experience the content of their dream, thereby improving self-understanding and creativity.

[0248] "User" refers to an individual who uses the system to input the contents of their dream and experience the generated virtual reality experience, music, and images.

[0249] "Means for accepting dream input" refers to an interface that allows the user to input the content of their dreams in text form.

[0250] A "generative AI model" refers to an artificial intelligence model that interprets the content of dreams entered by users and generates virtual reality experiences, music, and images based on the results of that interpretation.

[0251] "Means for generating a virtual reality experience" refers to software and hardware for creating virtual reality content that allows users to concretely experience the content of their dreams based on the interpretation results of the generative AI model.

[0252] "Means for generating music" refers to software and hardware for creating music tailored to the content of a user's dreams based on the interpretation results of the generative AI model.

[0253] "Means for generating images" refers to software and hardware for creating images that match the content of the user's dream based on the interpretation results of the generative AI model.

[0254] "Means for providing the generated virtual reality experience, music, and video to the user" refers to a terminal and interface for playing the virtual reality experience, music, and video sent from the server to the user.

[0255] MODE FOR CARRYING OUT THE INVENTION

[0256] This invention provides a system for generating virtual reality experiences, music, and images that allow users to concretely experience the content of their dreams. Specific embodiments of this system will be described below.

[0257] Hardware and software used

[0258] Hardware: High-performance servers, VR headsets, audio systems, user devices (smartphones and PCs)

[0259] Software: Generative AI models (e.g., GPT-4), VR content generation software, music generation software, video editing software

[0260] System Overview

[0261] 1. Input of user's dream

[0262] The user uses a terminal to input the details of their dream in text format.

[0263] Example: A user opens an application on their smartphone and types, "Last night I dreamed I was on an airplane."

[0264] 2. Interpretation by generative AI models

[0265] The server receives the text data sent by the user.

[0266] The server inputs prompts into a generative AI model (e.g., GPT-4) to interpret the dream content.

[0267] Example: The server sends the following prompt to a generative AI model: "Interpret the content of the user's dream last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane."

[0268] 3. Creating a Virtual Reality Experience

[0269] The server receives the interpreted results from the generative AI model and generates the virtual reality experience using VR content generation software.

[0270] Example: To recreate the scene where the user is on an airplane, the server creates a VR scene that includes elements such as airplane seats, the view from the window, and in-flight announcements.

[0271] 4. Music and Video Generation

[0272] The server uses music generation and video editing software to generate music and video for the virtual reality experience.

[0273] Example: A server creates a video containing the sound of an airplane engine, in-flight announcements, and the scenery seen from the window, and generates music to match it.

[0274] 5. Content Provision

[0275] The device receives the virtual reality experience, music, and video sent from the server and provides them to the user.

[0276] Example: A user puts on a VR headset and enjoys a virtual reality experience played on the device, making the user feel as if they are inside an airplane, with music and video playing along with the experience.

[0277] This system enables the user to concretely experience the content of their dreams, thereby improving self-understanding and creativity. The flow of the identification process in the third embodiment will be described with reference to FIG.

[0278] Step 1:

[0279] The user inputs the content of their dream. Using a device, the user inputs the content of their dream in text format. Specifically, the user opens an application on their smartphone or PC and inputs, "Last night, I had a dream that I was on an airplane." The input data is the content of the dream in text format.

[0280] Step 2:

[0281] The server receives text data sent by the user. The server prepares this text data to be passed to the generative AI model. Specifically, the server receives the user's input and generates a prompt. The input data is the content of the user's dream, and the output data is the prompt to be passed to the generative AI model.

[0282] Step 3:

[0283] The server interprets the content of the dream using a generative AI model. The server inputs a prompt into the generative AI model (e.g., GPT-4) to interpret the content of the dream. Specifically, the server sends the prompt to the generative AI model: "Interpret the content of the dream the user had last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane." The input data is the prompt, and the output data is the interpretation result.

[0284] Step 4:

[0285] The server generates a virtual reality experience based on the interpretation results. The server uses VR content generation software to generate a virtual reality experience based on the interpretation results. Specifically, the server creates a VR scene including elements such as airplane seats, the scenery seen from the window, and in-flight announcements to recreate the "scene where the user is inside an airplane." The input data is the interpretation results, and the output data is the content of the virtual reality experience.

[0286] Step 5:

[0287] The server generates music based on the interpretation results. The server uses music generation software to generate music based on the interpretation results. Specifically, the server creates music that includes airplane engine sounds, in-flight announcements, etc. The input data is the interpretation results, and the output data is the generated music.

[0288] Step 6:

[0289] The server generates a video based on the interpretation results. The server uses video editing software to generate a video based on the interpretation results. Specifically, the server creates a video that includes the scenery seen from the airplane window and the interior of the airplane. The input data is the interpretation results, and the output data is the generated video.

[0290] Step 7:

[0291] The device provides the generated virtual reality experience, music, and video to the user. The device receives the content sent from the server and plays it for the user. In concrete terms, the user puts on a VR headset and enjoys the virtual reality experience played by the device. The user experiences the sensation of being inside an airplane, with music and video played along with it. The input data is the generated virtual reality experience, music, and video, and the output data is the user's experience.

[0292] (Application example 3)

[0293] Next, a description will be given of Application Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0294] Conventional virtual reality systems have difficulty reproducing the content of a user's dreams in detail, preventing users from experiencing the dream world realistically. It is also difficult to generate music or images based on the content of a dream, preventing users from deepening their self-understanding and creativity. Therefore, there is a need for a system that can more realistically reproduce a user's dream experience and promote self-understanding and creativity.

[0295] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 3 is realized by the following means.

[0296] In this invention, the server includes means for receiving a user's dream input, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation results, a head-mounted display means for providing the generated virtual reality experience to the user, and means for integrating the generated music and video into the virtual reality experience. This allows the content of the user's dream to be specifically reproduced, allowing the user to experience the dream world realistically. Furthermore, integrating the generated music and video into the virtual reality experience can deepen the user's self-understanding and creativity.

[0297] The "means for accepting input of the user's dreams" is an interface that allows the user to input the contents of their dreams in the form of text, voice, or the like.

[0298] "Artificial intelligence means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and understands their symbols and messages.

[0299] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to technology for automatically generating virtual reality spaces, music, and images based on the content of dreams interpreted by artificial intelligence.

[0300] "Head-mounted display means for providing the generated virtual reality experience to the user" refers to a head-mounted display device used by the user to experience the generated virtual reality space.

[0301] "Means for integrating generated music and video into a virtual reality experience" refers to technology that incorporates generated music and video into a virtual reality space, allowing users to experience the experience as a whole.

[0302] The system for carrying out the present invention is for specifically recreating the content of a user's dream and providing a virtual reality experience. A specific embodiment of this system will be described below.

[0303] Hardware and software used

[0304] Hardware:

[0305] Smartphones (e.g., iPhone, Android devices)

[0306] Head-mounted displays (e.g., Oculus Rift, HTC Vive)

[0307] software:

[0308] Generative AI models (e.g., GPT-4)

[0309] VR content generation software (e.g. Unity, Unreal Engine)

[0310] Music generation software (e.g. Magenta)

[0311] System configuration

[0312] 1. A way to accept user dream input:

[0313] Users use their smartphone to input the details of their dreams by text or voice, via a dedicated application.

[0314] 2. An artificial intelligence means of interpreting input dreams:

[0315] The server uses a generative AI model (GPT-4) to analyze the content of the dream entered by the user, and extracts key scenes and elements as a result.

[0316] 3. Means for generating virtual reality experiences, music, images, etc. based on the interpretation results:

[0317] Based on the analysis results, the server generates a virtual reality space using Unity or Unreal Engine, and also uses Magenta to generate music that matches the content of the dream.

[0318] 4. A head-mounted display means for providing a generated virtual reality experience to a user:

[0319] The user wears a head-mounted display and experiences the generated virtual reality space, allowing them to experience the dream world in a realistic way.

[0320] 5. Means of integrating generated music and video into virtual reality experiences:

[0321] The server integrates the generated music and video into the virtual reality space, allowing users to experience it as a whole.

[0322] Specific examples

[0323] For example, if a user inputs "I was exploring the ocean floor" in their dream, the server will analyze the "exploring the ocean floor" scene using a generative AI model. Then, it will generate a virtual reality underwater space using Unity and generate music that matches the atmosphere of the ocean floor using Magenta. The user can experience the generated virtual reality space of the underwater exploration through a head-mounted display.

[0324] Prompt Sentence Examples

[0325] An example of a prompt for a generative AI model is:

[0326] Analyze the content of the user's dream and extract key scenes and elements. Analyze the following text:

[0327] "I was on a plane last night traveling around the world."

[0328] The above is a specific embodiment for carrying out the present invention. This system allows users to specifically recreate the content of their dreams and experience the dream world realistically through a virtual reality experience.

[0329] The flow of the specific processing in Application Example 3 will be described with reference to FIG.

[0330] Step 1:

[0331] The user inputs the details of their dream using a smartphone.

[0332] Input: The user inputs the dream details via text or voice.

[0333] Output: The input dream content is saved as text data.

[0334] How it works: The user opens the app and records their dream by entering it into a text box or by using the voice input function. The app then sends the data to the server.

[0335] Step 2:

[0336] The server uses a generative AI model (GPT-4) to analyze the content of the input dream.

[0337] Input: Text data of the dream entered by the user.

[0338] Output: As a result of the analysis, the main scenes and elements are extracted.

[0339] How it works: The server inputs the received text data into the generative AI model and uses the prompt text to analyze the dream content. The generative AI model then analyzes the dream's symbols and messages and extracts key scenes and elements.

[0340] Step 3:

[0341] The server uses Unity or Unreal Engine to generate a virtual reality space based on the analysis results.

[0342] Input: Key scenes and elements extracted as analysis results.

[0343] Output: Virtual reality space data.

[0344] How it works: Based on the analysis results, the server designs and generates a virtual reality space using Unity or Unreal Engine. For example, if an "undersea exploration" scene is extracted, a virtual reality space containing undersea scenery and creatures is generated.

[0345] Step 4:

[0346] The server uses Magenta to generate music that matches the content of the dream.

[0347] Input: Key scenes and elements extracted as analysis results.

[0348] Output: The generated music data.

[0349] How it works: Based on the analysis results, the server uses Magenta to generate music that matches the dream atmosphere. For example, quiet and mysterious music is generated to match the "undersea exploration" scene.

[0350] Step 5:

[0351] The server integrates the generated music and video into the virtual reality space.

[0352] Input: Virtual reality space data and generated music data.

[0353] Output: Integrated virtual reality experience data.

[0354] Specific operation: The server incorporates music data into the generated virtual reality space, allowing the user to experience it as an integrated whole. For example, adding mysterious music to an underwater exploration scene.

[0355] Step 6:

[0356] The user wears a head-mounted display and experiences the generated virtual reality space.

[0357] Input: Integrated virtual reality experience data.

[0358] Output: The user's experience.

[0359] How it works: The user wears a head-mounted display and accesses the virtual reality space generated through the application. The user experiences the dream world realistically and recreates the contents of the dream with music and images.

[0360] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0361] "Example 1"

[0362] In one embodiment of the present invention, the system includes an emotion engine that recognizes a user's emotions. The emotion engine infers the user's emotional state from the user's facial expressions, voice, text input, etc. For example, when a user inputs the details of a dream as text, the system can infer the user's emotional state from the phrasing and expressions in the text. Also, when a user inputs the details of a dream as voice, the system can infer the user's emotional state from the tone and strength of the voice.

[0363] "Example 2"

[0364] The emotion engine has the ability to adjust dream interpretations based on the user's emotional state. For example, if the user expresses joy, the AI ​​engine will take that emotional state into account when interpreting the dream content. This allows the engine to provide interpretations that are more suited to the user's emotional state.

[0365] "Example 3"

[0366] The generated virtual reality experience, music, and video are adjusted according to the user's emotional state. For example, if the user is expressing joy, the generated virtual reality experience, music, and video are adjusted to a bright and cheerful atmosphere. This makes it possible to provide an experience that matches the user's emotional state.

[0367] The processing flow of each embodiment will be described below.

[0368] "Example 1"

[0369] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[0370] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[0371] "Example 2"

[0372] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[0373] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[0374] Step 3: The AI ​​engine interprets the dream content taking into account the emotional state obtained from the emotion engine, which allows it to provide interpretation results that are more suited to the user's emotional state.

[0375] "Example 3"

[0376] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[0377] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[0378] Step 3: The AI ​​engine interprets the dream content, taking into account the emotional state obtained from the emotion engine, and generates a virtual reality experience, music, and images.

[0379] Step 4: The generated virtual reality experience, music, and video are adjusted according to the user's emotional state, making it possible to provide an experience tailored to the user's emotional state.

[0380] Example 1

[0381] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0382] Conventional dream analysis systems simply interpret the content of a user's dream, without taking into account the user's emotional state. This makes it difficult to provide a deeper understanding or appropriate feedback based on the user's emotions. Furthermore, when interpreting the content of a dream, it is not possible to generate virtual reality experiences, music, images, etc. that reflect the user's emotional state.

[0383] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0384] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means including an emotion engine for estimating the user's emotional state, and means for the emotion engine to estimate the emotional state from the user's text, voice, and image input. This enables dream analysis that takes the user's emotional state into consideration, and can provide the user with more appropriate feedback and experiences.

[0385] "Means for accepting user dream input" refers to an interface that allows a user to input the content of their dreams in text, audio, or image form.

[0386] "AI means for interpreting input dreams" refers to artificial intelligence technology that analyzes the content of dreams input by users and interprets their meanings and symbols.

[0387] "Means for generating virtual reality experiences, music, images, etc." refers to technology for generating and providing content such as virtual reality experiences, music, images, etc. to users based on the content of interpreted dreams.

[0388] "Means including an emotion engine for estimating a user's emotional state" refers to technology including an engine for estimating a user's emotional state from input data (text, voice, image).

[0389] "Means for the emotion engine to infer the user's emotional state from text, voice, and image input" refers to technology that analyzes the text, voice, and image data input by the user and infers the user's emotional state from that.

[0390] MODE FOR CARRYING OUT THE INVENTION

[0391] The present invention is a system that inputs the content of a user's dream, interprets that content, and estimates the user's emotional state. A specific embodiment of this system will be described below.

[0392] System configuration

[0393] The system includes a terminal with a user interface, a server for processing data, and an emotion engine. The terminal accepts input of dream content from the user. The input format is text, audio, or images. The server receives the input data and analyzes it.

[0394] Hardware and software used

[0395] Hardware: Server with high-performance CPU and GPU

[0396] Software: Natural Language Processing (NLP) libraries (e.g., NLTK, spaCy), speech recognition libraries (e.g., Google® Speech-to-Text), image analysis libraries (e.g., OpenCV)

[0397] Processing the data

[0398] The server receives input data from the user. For example, if the user types in text, "Last night, I dreamed I was being swallowed by a giant wave," the text data is sent to the server. The server uses an NLP library to analyze the text and interpret the content of the dream.

[0399] Next, the server uses an emotion engine to estimate the user's emotional state. The emotion engine estimates the emotional state from the wording and expressions in the text entered by the user. For example, the expression "being swallowed by a huge wave" may be used to estimate "fear" as the emotional state. If the user enters the details of their dream via voice, the emotion engine estimates the emotional state from the tone and strength of the voice. For example, if the user speaks with a trembling voice, the emotion engine may recognize "anxiety" as the emotional state.

[0400] Specific examples

[0401] As a concrete example, consider a scenario in which a user enters the details of a dream as text. If the user enters, "Last night, I dreamed I was being swallowed by a giant wave," the emotion engine will infer "fear" or "anxiety" as the emotional state.

[0402] An example of a prompt to input to a generative AI model is as follows:

[0403] A user types, "Last night I dreamed I was being swallowed by a giant wave." Infer the user's emotional state from this text.

[0404] By inputting this prompt into a generative AI model, the model outputs the user's emotional state as "fear" or "anxiety."

[0405] Displaying the results

[0406] The server sends the estimated emotional state to the device, which then displays the result to the user through a user interface, such as "Based on the content of your dream, it is estimated that you are feeling fear."

[0407] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[0408] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0409] Program processing flow

[0410] Step 1: Accepting input from the user

[0411] The user inputs the details of their dream through the device's user interface. The input can be in the form of text, voice, or images. For example, the user might input text such as, "Last night, I dreamed I was being swallowed by a giant wave." This input data is then processed in the next step.

[0412] Step 2: Submitting input data

[0413] The device sends the data entered by the user to the server. In the case of text data, the device sends the entered text as is to the server. In the case of voice data, the device records the voice and sends that data to the server. In the case of image data, the device captures the image and sends that data to the server. Once the input data reaches the server, the next step of processing begins.

[0414] Step 3: Emotional state estimation by the emotion engine

[0415] The server passes the received data to the emotion engine, which performs the following processes:

[0416] For text data: The server uses a natural language processing (NLP) library (e.g., NLTK, spaCy) to analyze the text and infer the emotional state. For example, it infers "fear" from the expression "being engulfed by a giant wave."

[0417] For voice data: The server converts the voice to text using a speech recognition library (e.g., Google Speech-to-Text), then uses an NLP library to estimate the emotional state. It also analyzes the tone and intensity of the voice to complete the emotional state.

[0418] For image data: The server uses an image analysis library (e.g., OpenCV) to analyze the user's facial expression from the image and estimate their emotional state. For example, if the user's facial expression is grim, it estimates their emotional state as "anxiety."

[0419] Step 4: Generate interpretation results

[0420] The server interprets the dream content based on the emotional state estimated by the emotion engine. Based on the interpretation results, it generates content such as a virtual reality experience, music, and video. For example, if "fear" is estimated as the emotional state, it generates a fear-themed virtual reality experience.

[0421] Step 5: View the results

[0422] The server then sends the generated interpretation results and content to the device, which then displays the results to the user through a user interface. For example, it may display a message such as, "Based on the content of your dream, we estimate that you are feeling fear," and provide a fear-themed virtual reality experience.

[0423] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[0424] (Application example 1)

[0425] Next, a description will be given of Application Example 1 of Embodiment Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0426] Conventional dream analysis systems focus on interpreting the content of a user's dreams, but do not provide personalized content that takes into account the user's emotional state. This makes it difficult to provide appropriate content according to the user's emotional state, which makes it difficult to increase user satisfaction.

[0427] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0428] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, emotion recognition means for estimating the user's emotional state, means including a generative AI model for generating personalized content based on the emotional state and the content of the dream, and means for delivering the generated content to the user. This makes it possible to provide personalized content according to the user's emotional state.

[0429] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[0430] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[0431] "Means for generating virtual reality experiences, music, images, etc. based on the interpretation results" refers to a device or software that generates content such as virtual reality experiences, music, images, etc. to be provided to users based on the results of dream interpretation.

[0432] The "emotion recognition means for estimating the user's emotional state" is a device or software for estimating the user's emotional state from facial expressions, voice, text input, etc.

[0433] "Means including a generative AI model that generates personalized content based on emotional state and dream content" refers to a device or software that uses a generative AI model to generate individually optimized content, taking into account the user's emotional state and dream content.

[0434] A "means for delivering generated content to a user" is a device or software for delivering generated content to a user's device.

[0435] The system for implementing this invention includes a series of processes that accepts input of a user's dreams, estimates their emotional state, and generates and delivers personalized content. Specific embodiments of the system are described below.

[0436] System Configuration

[0437] 1. A means of accepting user dream input

[0438] Hardware: Smartphones, smart glasses, head-mounted displays

[0439] Software: User Interface Application

[0440] Users input their dream content in text, audio, or image format, which is converted into text using speech recognition software (e.g., Google Speech-to-Text API).

[0441] 2. AI method for interpreting input dreams

[0442] Software: Natural language processing engine (e.g., OpenAI (registered trademark) GPT-4)

[0443] It uses artificial intelligence technology to analyze the content of input dreams and understand their symbols and messages.

[0444] 3. A means of generating virtual reality experiences, music, images, etc. based on the interpretation results

[0445] Software: Content Generation Engine

[0446] Based on the results of dream interpretation, content such as virtual reality experiences, music, and videos are generated to be provided to users.

[0447] 4. Emotion recognition method to estimate the user's emotional state

[0448] Software: Emotion recognition engine (e.g., Microsoft® Azure® Emotion API)

[0449] It estimates the user's emotional state from facial expressions, voice, text input, etc.

[0450] 5. Means including a generative AI model that generates personalized content based on emotional state and dream content.

[0451] Software: Generative AI models (e.g., OpenAI GPT-4)

[0452] It generates individually optimized content taking into account the user's emotional state and dream content.

[0453] 6. Means of delivering generated content to users

[0454] Hardware: Smartphones, smart glasses, head-mounted displays

[0455] Software: Content Delivery Applications

[0456] Delivering the generated content to the user's device.

[0457] Specific examples

[0458] If a user texts "I had a dream last night that I was being chased and it was very disturbing":

[0459] 1. Emotion recognition

[0460] The emotion recognition engine identifies the emotion "anxiety."

[0461] 2. Content Generation

[0462] Send the following prompt to the generative AI model:

[0463] Prompt: "The user is having dreams about being chased and is feeling anxious. Please provide them with relaxing music or a guided meditation."

[0464] 3. Content Delivery

[0465] Generative AI models generate relaxing music and guided meditations and deliver them to users.

[0466] In this way, optimal content can be provided based on the user's dream content and emotional state.

[0467] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0468] Step 1:

[0469] The user inputs the details of their dream.

[0470] Users use a smartphone, smart glasses, or head-mounted display to input their dream content in text, voice, or image format. For voice input, the device uses voice recognition software (e.g., Google Speech-to-Text API) to convert the speech into text. The input data is then sent to a server.

[0471] Step 2:

[0472] The server interprets the dream content.

[0473] The server sends the input dream content to a natural language processing engine (e.g., OpenAI GPT-4) to analyze the dream's symbols and messages. As a result of the analysis, text data about the dream content is generated.

[0474] Step 3:

[0475] The server estimates the user's emotional state.

[0476] The server sends the user's input data (text, voice, image) to an emotion recognition engine (e.g., Microsoft Azure Emotion API) to estimate the user's emotional state. The emotion recognition engine identifies emotions such as "anxiety," "joy," and "sadness" from the input data and returns the results to the server.

[0477] Step 4:

[0478] The server generates prompts based on the emotional state and the content of the dream.

[0479] The server generates a prompt to send to the generative AI model based on the analysis results and the user's emotional state. For example, if the user is feeling anxious, the prompt might be, "The user is feeling anxious after having a dream about being chased. Please provide relaxing music or a meditation guide."

[0480] Step 5:

[0481] The server generates the content using the generative AI model.

[0482] The server sends the generated prompt to a generative AI model (e.g., OpenAI GPT-4) to generate personalized content. The generative AI model generates content such as relaxing music or meditation guides based on the prompt and returns the results to the server.

[0483] Step 6:

[0484] The server delivers the generated content to the user.

[0485] The server distributes the generated content to the user's device (smartphone, smart glasses, head-mounted display). The user can relax and deepen their self-understanding by watching or listening to the distributed content.

[0486] Example 2

[0487] Next, a description will be given of Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0488] Conventional dream interpretation systems do not take into account the user's emotional state, making it difficult to provide optimal interpretation results for the user. Furthermore, they do not generate virtual reality experiences, music, or images based on the results of dream interpretation, making it difficult for users to deepen their self-understanding or creativity. This has led to a demand for a system that allows users to gain a deeper understanding of the content of their dreams and receive appropriate feedback based on their emotional state.

[0489] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0490] In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for inputting the user's emotional state, emotion analysis means for adjusting the interpretation of the dream in consideration of the emotional state, and means for generating a virtual reality experience, music, video, etc. based on the interpretation result. This makes it possible to provide an optimal dream interpretation result according to the user's emotional state, and further to generate a virtual reality experience, music, video, etc. based on the interpretation result.

[0491] A "user" is an individual who uses the system to input the contents of their dreams and receive the interpretation results.

[0492] The "means for accepting dream input" is an interface that allows the user to input the content of their dream into the system as text or images.

[0493] "Artificial intelligence means" refers to algorithms and technologies that analyze the content of input dreams and interpret their symbols and messages.

[0494] The "means for inputting emotional state" is an interface that allows the user to input their current emotional state into the system.

[0495] "Emotional analysis methods" refer to algorithms and technologies that analyze the user's emotional state and adjust the dream interpretation based on the results.

[0496] "Means for generating virtual reality experiences, music, images, etc." refers to technologies and devices for generating content such as virtual reality experiences, music, images, etc. to be provided to users based on the interpretation results.

[0497] "Interpretation results" refer to the meaning of symbols or messages obtained based on the content of the dream analyzed by artificial intelligence means.

[0498] This invention is a system that interprets the content of a user's dreams and adjusts the interpretation based on the user's emotional state. The system is mainly composed of three elements: a server, a terminal, and the user.

[0499] 1. Input of user's dream

[0500] The user uses a device to input the details of their dream as text or an image. For example, a user might input text such as "I dreamed of flying last night," or upload a picture of the scene from their dream as an image. The device can be a standard device such as a smartphone or PC.

[0501] 2. Dream content analysis

[0502] The server receives the dream content entered by the user and launches an AI engine for analysis. The AI ​​engine analyzes text data using natural language processing (NLP) technology and image data using image analysis technology. Specifically, it uses "spaCy" and "BERT" for NLP, and "OpenCV" and "TensorFlow" for image analysis. For example, the AI ​​engine interprets the content of a dream about "flying" as a symbol of "freedom" and "liberation."

[0503] 3. Input of the user's emotional state

[0504] The user uses the terminal to select or input their current emotional state. For example, the user may select "joy." The terminal provides an interface for inputting the emotional state.

[0505] 4. Adjusting Dream Interpretation

[0506] The server activates an emotion engine that adjusts the dream interpretation taking into account the user's emotional state. The emotion engine has an algorithm that modifies the interpretation results based on the user's emotional state. Specifically, emotion analysis uses IBM Watson (registered trademark) and Microsoft Azure Emotion API. For example, if the user expresses "joy," the emotion engine will emphasize interpretations such as "freedom" and "liberation."

[0507] 5. Providing interpretation results

[0508] The server generates the final interpretation and sends it to the user's device, where the user can check the interpretation. For example, a message such as, "Your dream symbolizes freedom and liberation. In conjunction with your current feelings of joy, you seem to have a positive attitude toward new challenges" may be displayed.

[0509] Examples of specific examples and prompts

[0510] Specific examples

[0511] If a user types, "I dreamed about flying last night," and selects "joy" as the emotional state, the system will offer interpretations such as "freedom" or "liberation."

[0512] Prompt Sentence Examples

[0513] "Please enter the details of the dream you had last night. Example: 'I dreamed about flying.'"

[0514] "Please select your current emotional state. Example: 'Joy'"

[0515] In this way, the system interprets the content of the user's dreams and adjusts the interpretation based on the user's emotional state, allowing the user to gain a deeper understanding of the content of their dreams and receive appropriate feedback based on their emotional state.

[0516] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0517] Step 1:

[0518] The user inputs the details of their dream.

[0519] The user uses the device to input the content of their dream as text or an image. For example, a user may input text such as "I had a dream about flying last night," or upload a picture of a scene from their dream as an image. The input data is sent to the server.

[0520] Step 2:

[0521] The server launches an AI engine and analyzes the content of the dream.

[0522] The server passes the received dream content to the AI ​​engine, which begins analysis. The AI ​​engine uses natural language processing (NLP) technology to analyze the text data and image data using image analysis technology. Specifically, it uses "spaCy" and "BERT" for NLP, and "OpenCV" and "TensorFlow" for image analysis. For example, it analyzes the text "flying in the sky" and extracts symbols such as "freedom" and "liberation." The analysis results are returned to the server.

[0523] Step 3:

[0524] The user inputs their current emotional state.

[0525] The user uses the terminal to select or input their current emotional state. For example, the user may select "joy." The input emotional state is transmitted to the server.

[0526] Step 4:

[0527] The server activates an emotion engine that adjusts the dream interpretation taking into account the emotional state.

[0528] The server passes the received emotional state to the emotion engine and begins analysis. The emotion engine uses IBM Watson and Microsoft Azure Emotion API to analyze the user's emotional state. Based on the analysis results, the dream interpretation provided by the AI ​​engine is adjusted. For example, if the user expresses "joy," the emotion engine will emphasize interpretations such as "freedom" and "liberation." The adjusted interpretation is then returned to the server.

[0529] Step 5:

[0530] The server provides the final interpretation result to the user.

[0531] The server generates an adjusted interpretation and sends it to the user's device, where the user can check the interpretation. For example, a message such as, "Your dream symbolizes freedom and liberation. In conjunction with your current feelings of joy, you seem to have a positive attitude toward new challenges" may be displayed.

[0532] (Application example 2)

[0533] Next, a description will be given of Application Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0534] Conventional dream interpretation systems only interpret the content of a user's dream, but do not adjust the interpretation results to take the user's emotional state into account or recommend content based on that. As a result, they are unable to provide interpretation results or content that are appropriate for the user's emotional state, making it difficult for users to deepen their self-understanding and creativity.

[0535] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0536] In this invention, the server includes a means for receiving input of a user's dream, an AI means for interpreting the input dream, a means for adjusting the interpretation result in consideration of the user's emotional state based on the interpretation result, and a means for recommending content based on the adjusted interpretation result. This makes it possible to provide an interpretation result suited to the user's emotional state and recommend content based on that.

[0537] The "means for accepting input of the user's dreams" is an interface that allows the user to input the content of the dream they had in the form of text, voice, or the like.

[0538] The "AI means for interpreting input dreams" is an artificial intelligence system that uses technologies such as natural language processing and image analysis to analyze the content of dreams input by users and extract their meaning.

[0539] The "means for taking into account the user's emotional state based on the interpretation result and adjusting the interpretation result" is a system for detecting the user's current emotional state and appropriately correcting the dream interpretation result based on that emotional state.

[0540] The "means for recommending content based on adjusted interpretation results" is a system for recommending content such as movies, music, articles, etc. that are suitable for a user based on adjusted dream interpretation results.

[0541] The "function to analyze dream symbols and messages" is the function to analyze the symbolic images and messages that appear in dreams and interpret what they mean.

[0542] "Recommended content enables users to deepen their self-understanding and creativity" means that the content recommended to users helps them understand their own inner thoughts and emotions and promotes creative activities.

[0543] A system for implementing this invention includes a means for accepting input of a user's dreams, an AI means for interpreting the input dream, a means for adjusting the interpretation result by taking into account the user's emotional state based on the interpretation result, and a means for recommending content based on the adjusted interpretation result.

[0544] 1. System Program

[0545] The program of this system operates as follows.

[0546] Hardware and Software

[0547] Hardware: Smartphone

[0548] Software: Python, transformers library, textblob library

[0549] Data processing and calculation

[0550] A means of accepting user dream input: Provide an interface for users to input the details of their dreams in text form. For example, provide a text input field in a smartphone application.

[0551] AI means for interpreting input dreams: Using natural language processing technology, the content of the dream input by the user is analyzed and its meaning is extracted. Specifically, the GPT-3 (registered trademark) model is used with the transformers library.

[0552] A means to adjust the interpretation results by taking into account the user's emotional state: Detect the user's current emotional state and appropriately correct the dream interpretation results based on that emotional state. To detect the emotional state, we use the emotion analysis pipeline from the transformers library.

[0553] A means for recommending content based on the adjusted interpretation results: Based on the adjusted dream interpretation results, content such as movies, music, and articles suitable for the user are recommended. For example, if the dream interpretation result includes "joy," comedy movies are recommended.

[0554] 2. Specific examples of processing

[0555] Consider a case where a user had a dream in which they were flying over a beautiful landscape. Suppose the user's emotional state was "joy." In this case, the AI ​​engine interprets the content of the dream, and the emotion engine adjusts the interpretation result taking into account the user's emotional state. Then, based on the interpretation result, it recommends content suitable for the user (e.g., a comedy movie).

[0556] 3. Examples of prompts

[0557] An example of a prompt sentence to input to the generative AI model is as follows:

[0558] User's dream: "I was flying over a beautiful landscape."

[0559] The user's emotional state: "joy"

[0560] Please provide an interpretation of this dream and recommend content based on it.

[0561] In this way, a system can be realized that recommends appropriate content based on the content of a user's dreams and their emotional state.

[0562] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0563] Step 1:

[0564] The user inputs the details of their dream.

[0565] Users use a smartphone application to input the details of their dreams in text format, which is then sent to a server.

[0566] Input: User-entered dream text

[0567] Output: Dream text sent to server

[0568] Step 2:

[0569] The server interprets the dream content.

[0570] The server then passes the received dream text to an AI engine, which uses natural language processing techniques to analyze the dream content. Specifically, it uses the GPT-3 model with the transformers library to extract the dream's symbols and messages.

[0571] Input: Dream text

[0572] Output: Dream interpretation results (text format)

[0573] Step 3:

[0574] The server detects the user's emotional state.

[0575] The server uses a sentiment analysis pipeline to detect the user's current emotional state. Specifically, it analyzes the user's emotional state using a sentiment analysis model from the transformers library.

[0576] Input: Data indicating the user's emotional state (e.g., text, voice)

[0577] Output: User's emotional state (e.g. joy, sadness)

[0578] Step 4:

[0579] The server adjusts the interpretation results.

[0580] The server modifies the dream interpretation result appropriately based on the detected emotional state of the user. For example, if the user's emotional state is "joy," the server adds "This dream seems to reflect your joyful state." to the interpretation result.

[0581] Input: Dream interpretation results, user's emotional state

[0582] Output: Adjusted dream interpretation results

[0583] Step 5:

[0584] The server recommends content.

[0585] The server recommends content suitable for the user based on the adjusted dream interpretation result, for example, recommending comedy movies if the dream interpretation result includes "joy."

[0586] Input: Adjusted dream interpretation results

[0587] Output: Recommended content (e.g. movies, music, articles)

[0588] Step 6:

[0589] The device displays recommended content.

[0590] The terminal displays the recommended content received from the server to the user, who can then browse or view the recommended content.

[0591] Input: Recommended content

[0592] Output: The content displayed to the user

[0593] Example 3

[0594] Next, a description will be given of a third embodiment of the third embodiment. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0595] Conventional virtual reality experiences, music, and video generation systems have difficulty reflecting the content of the user's dreams and do not adjust according to the user's emotional state, making it impossible to provide an optimal experience for the user. For this reason, there is a need for a system that can analyze the content of a user's dreams and adjust the generated content based on that to match the user's emotional state.

[0596] The specific processing by the specific processing unit 290 of the data processing device 12 in the third embodiment is realized by the following means.

[0597] In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means for detecting the user's emotional state, means for adjusting the generated content based on the detected emotional state, and means for providing the adjusted content to the user. This makes it possible to provide an optimal experience that reflects the content of the user's dream and is tailored to the user's emotional state.

[0598] "Means for accepting input of user's dreams" refers to a device or software that provides an interface for users to input the contents of their dreams in text or voice format.

[0599] "Artificial intelligence means for interpreting input dreams" refers to the artificial intelligence technology used to analyze and understand the content of dreams input by users.

[0600] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to devices or software for automatically generating content such as virtual reality experiences, music, images, etc. based on the content of dreams interpreted by artificial intelligence.

[0601] "Means for detecting the user's emotional state" refers to devices or software that analyze the user's facial expressions, voice, heart rate, and other biometric information to determine the user's emotional state.

[0602] "Means for adjusting generated content based on detected emotional state" means devices or software that appropriately change or adjust generated content, such as virtual reality experiences, music, or video, depending on the user's emotional state.

[0603] A "means for providing tailored content to a user" is any device or software that provides a user with tailored content, such as a virtual reality experience, music, or video, visually or aurally.

[0604] MODE FOR CARRYING OUT THE INVENTION

[0605] This invention is a system that analyzes the content of a user's dreams, generates virtual reality experiences, music, and images based on the analysis, and further adjusts them according to the user's emotional state. Specific embodiments of this system are described below.

[0606] System configuration

[0607] The system consists of the following major components:

[0608] 1. A means of accepting user dream input

[0609] Using a smartphone or PC application, users input the details of their dreams in text form, for example, "Last night I dreamed I was on an airplane."

[0610] 2. AI means of interpreting input dreams

[0611] The server receives the dream content sent by the user and analyzes it using a generative AI model (e.g., GPT-4). As a result of the analysis, key elements in the dream (e.g., airplanes, passengers, scenery) are extracted.

[0612] 3. A means of generating virtual reality experiences, music, images, etc. based on the interpretation results

[0613] The server generates the virtual reality experience, music, and video based on the analysis results. Specifically, Unity is used to create the scene inside the plane, Amper Music is used to generate the background music inside the plane, and Adobe Premiere Pro is used to create the video of the scenery seen from the plane window.

[0614] 4. How to detect the user's emotional state

[0615] The server analyzes the user's facial expressions and voice through the device's camera and microphone to detect the user's emotional state. For example, if the user is smiling, it determines that they are expressing joy.

[0616] 5. A means to tailor generated content based on detected emotional states

[0617] The server adjusts the generated content depending on the user's emotional state: for example, if the user is expressing joy, the server brightens the scene in the virtual reality experience and changes the music to a more joyful mood.

[0618] 6. How to provide tailored content to users

[0619] The device delivers the adjusted content sent from the server to the user, who can then enjoy the virtual reality experience, music, and video through a VR headset or speakers.

[0620] Specific examples

[0621] As a specific example, we will explain the process when the user is on an airplane in a dream.

[0622] Dream content: The user dreamed of being on an airplane.

[0623] Analysis results: The generative AI model analyzed the content "I'm on an airplane."

[0624] Content Generation: Unity was used to recreate the scene inside the plane. Amper Music was used to generate the music played inside the plane. Adobe Premiere Pro was used to generate the footage seen from the plane window.

[0625] Emotion adjustment: If the user is showing the emotion of joy, the generated scene will be adjusted to a bright and happy mood.

[0626] Example prompt sentence:

[0627] If the user is dreaming of being on an airplane, recreate the scene of being on an airplane and generate bright and cheerful music and images.

[0628] In this way, the content generated based on the content of the user's dream is adjusted to match the user's emotional state, providing an optimal experience. The flow of the identification process in Example 3 will be described with reference to FIG.

[0629] Step 1:

[0630] The user enters the details of their dream in text format into the device. For example, they might enter, "Last night, I had a dream that I was on an airplane." The entered text data is sent to the server.

[0631] Input: The dream content entered by the user (text data)

[0632] Output: Text data sent to the server

[0633] Step 2:

[0634] The server inputs the received text data into a generative AI model to analyze the dream content. The generative AI model extracts key elements (such as airplanes, passengers, and scenery) from the text data.

[0635] Input: User's dream content (text data)

[0636] Data Processing: Text Analysis with Generative AI Models

[0637] Output: Main elements of the dream (plane, passengers, scenery, etc.)

[0638] Step 3:

[0639] The server generates the virtual reality experience, music, and video based on the analysis results. Specifically, Unity is used to create the scene inside the plane, Amper Music is used to generate the background music inside the plane, and Adobe Premiere Pro is used to create the video of the scenery seen from the plane window.

[0640] Input: Main elements of the dream (plane, passengers, scenery, etc.)

[0641] Data processing: Scene creation in Unity, music generation in Amper Music, video generation in Adobe Premiere Pro

[0642] Output: Virtual reality experience, music, video

[0643] Step 4:

[0644] The server analyzes the user's facial expressions and voice through the device's camera and microphone to detect the user's emotional state. For example, if the user is smiling, it is determined that the user is expressing joy.

[0645] Input: User's facial expressions and voice (data from camera and microphone)

[0646] Data processing: facial expression recognition, voice analysis

[0647] Output: User's emotional state (happy, sad, etc.)

[0648] Step 5:

[0649] The server adjusts the generated content depending on the user's emotional state, for example, if the user is expressing joy, it brightens the scene in the virtual reality experience and changes the music to a more joyful mood.

[0650] Input: User's emotional state, generated content (virtual reality experience, music, video)

[0651] Data processing: Adjusting content (changing scene brightness, changing the atmosphere of music, etc.)

[0652] Output: Reconciled content

[0653] Step 6:

[0654] The device provides users with the adjusted content sent from the server, allowing them to enjoy virtual reality experiences, music, and videos through a VR headset or speakers.

[0655] Input: Tailored content (virtual reality experiences, music, video)

[0656] Output: Virtual reality experience, music, and video provided to the user

[0657] In this way, content generated based on the content of the user's dreams can be tailored to the user's emotional state to provide an optimal experience.

[0658] (Application example 3)

[0659] Next, a description will be given of Application Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0660] Conventional virtual reality, music, and video generation systems provide uniform content without considering the content of the user's dreams or emotional state, making it difficult to provide a personalized experience for each user. Furthermore, because the content is not adjusted according to the user's emotional state, these systems are unable to contribute to improving user satisfaction, self-understanding, or creativity.

[0661] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 3 is realized by the following means. In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means for collecting the user's emotional state, means for adjusting the generated content based on the collected emotional state, and means for delivering the generated content to the user's device. This makes it possible to provide a virtual reality experience, music, and video personalized based on the content of the user's dream and emotional state.

[0662] The "means for accepting input of a user's dreams" refers to a device or software that provides an interface for a user to input the contents of their dreams in the form of text, voice, or the like.

[0663] "Artificial intelligence means for interpreting input dreams" refers to a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[0664] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to a device or software that automatically generates content such as virtual reality experiences, music, images, etc. based on the content of dreams interpreted by artificial intelligence.

[0665] "Means for collecting a user's emotional state" refers to devices or software for detecting a user's emotional state and collecting the data. Examples include emotion recognition cameras and questionnaires.

[0666] "Means for adjusting generated content based on collected emotional state" refers to a device or software that adjusts generated content, such as a virtual reality experience, music, or video, in accordance with the collected emotional state of the user.

[0667] "Means for delivering generated content to a user's device" refers to equipment or software that delivers generated content, such as virtual reality experiences, music, or video, to a user's device, such as a smartphone or head-mounted display.

[0668] The system for implementing the present invention uses the following hardware and software.

[0669] Hardware used

[0670] Smartphone (iOS or Android)

[0671] Head-mounted displays (Oculus Quest 2, etc.)

[0672] Emotion Recognition Camera

[0673] Software used

[0674] Unity (game engine)

[0675] TensorFlow (machine learning library)

[0676] OpenAI GPT-4 (generative AI model)

[0677] Program processing explanation

[0678] 1. Data Collection

[0679] Users input their dream details using text or voice using a smartphone or head-mounted display, and their emotional state is collected through an emotion-recognition camera and questionnaires.

[0680] 2. Data Analysis

[0681] The server analyzes the input dream content using natural language processing (NLP) technology, a machine learning model using TensorFlow, and analyzes data collected from emotion-recognition cameras and questionnaires to identify the user's emotional state.

[0682] 3. Content Generation

[0683] The server generates a prompt based on the analysis results. Based on this prompt, OpenAI GPT-4 is used to generate a virtual reality experience, music, and video. The generated content is then built into a virtual reality environment using Unity.

[0684] 4. Content Adjustment

[0685] The server adjusts the generated content based on the collected emotional state: for example, if the user expresses joy, the generated virtual reality experience, music, and video will be adjusted to have a bright and cheerful atmosphere.

[0686] 5. Content Delivery

[0687] The final generated content is delivered to the user's smartphone or head-mounted display, allowing the user to enjoy a personalized virtual reality experience through these devices.

[0688] Specific examples

[0689] If the user experiences a scene of "walking on the beach" in a dream, the following prompt sentence will be generated:

[0690] Prompt Sentence Examples

[0691] Recreate a scene where the user is dreaming about walking on the beach. Include sounds of waves and seabirds to create a relaxing atmosphere. Play upbeat, cheerful music in the background, as the user's emotional state is joy.

[0692] Based on this prompt, the generative AI model generates a virtual reality experience, music, and video, and provides it to the user.

[0693] The flow of the specific processing in Application Example 3 will be described with reference to FIG.

[0694] Step 1:

[0695] The user inputs the details of their dreams using text or voice using a smartphone or head-mounted display. The input data is sent to a server. The input data includes detailed descriptions of the dream contents.

[0696] Step 2:

[0697] The server analyzes the received dream content using natural language processing (NLP) technology. This analysis uses a machine learning model using TensorFlow. The input data (dream content) is analyzed to extract the dream's symbols and messages. The analysis results are output as structured data that can be used to understand the dream content.

[0698] Step 3:

[0699] To collect the user's emotional state, we use an emotion recognition camera and a questionnaire. The emotion recognition camera detects emotions from the user's facial expressions and voice, and the questionnaire collects self-reported emotion data from the user. The collected emotion data is sent to a server.

[0700] Step 4:

[0701] The server analyzes the collected emotional data. A machine learning model using TensorFlow is used for the analysis. The input data (emotional data) is analyzed to identify the user's emotional state. The analysis results are output as structured data that indicates the user's emotional state.

[0702] Step 5:

[0703] The server generates prompts based on the analysis of the dream content and emotional state. It uses a generative AI model (OpenAI GPT-4) to create prompts. Based on the input data (the analysis of the dream content and emotional state), it outputs prompts containing instructions for generating virtual reality experiences, music, and images.

[0704] Step 6:

[0705] The server generates a virtual reality experience, music, and video based on the generated prompt. The virtual reality environment is built using Unity, and music and video are created using a generative AI model (OpenAI GPT-4). Based on the input data (prompt), content is generated according to the user's dream content and emotional state.

[0706] Step 7:

[0707] The server adjusts the generated content based on the user's emotional state. For example, if the user expresses joy, the generated virtual reality experience, music, and video will be adjusted to a bright and cheerful atmosphere. Based on the input data (generated content and emotional state), the server outputs the optimal content.

[0708] Step 8:

[0709] The server then delivers the final generated content to the user's smartphone or head-mounted display, allowing the user to enjoy a personalized virtual reality experience. Based on the input data (adjusted content), the server sends content to the user's device.

[0710] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0711] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0712] Another example of generative AI is Gemini (registered trademark) (Internet search engine). <url: https: gemini.google.com ?hl="ja">) are mentioned.

[0713] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0714] [Second embodiment]

[0715] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0716] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0717] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26.

[0718] The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 is equipped with a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0719] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0720] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0721] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0722] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0723] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0724] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0725] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0726] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0727] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described.

[0728] "Example 1"

[0729] One embodiment of the present invention is a device with a user interface. This device accepts input of dream content from a user. The input is generally in text format, but voice input and image input are also possible.

[0730] "Example 2"

[0731] Next, the AI ​​engine interprets the dream by analyzing the symbols and messages within the dream. The AI ​​engine uses technologies such as natural language processing and image analysis to understand the dream content and extract its meaning.

[0732] "Example 3"

[0733] Finally, a virtual reality experience, music, and video are generated based on the interpretation. These contents are designed to allow users to concretely experience the world of their dreams. For example, if a user dreams of being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and video generated accordingly.

[0734] The processing flow of each embodiment will be described below.

[0735] "Example 1"

[0736] Step 1: A device with a user interface accepts input from the user about the dream content. This input is generally in text format, but voice input and image input are also possible.

[0737] "Example 2"

[0738] Step 1: The AI ​​engine interprets the dream content. This interpretation is done by analyzing the symbols and messages of the dream.

[0739] Step 2: The AI ​​engine uses technologies such as natural language processing and image analysis to understand the content of the dream and extract its meaning.

[0740] "Example 3"

[0741] Step 1: Virtual reality experiences, music, videos, etc. are generated based on the interpretation results. These contents are designed to allow users to concretely experience the dream world.

[0742] Step 2: For example, if the user is dreaming about being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and visuals generated to match.

[0743] Example 1

[0744] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0745] In conventional dream interpretation systems, even if a user inputs the content of their dream, it is unclear whether the interpretation results will be beneficial to the user. There is also no guarantee that the interpretation results will deepen the user's self-understanding or creativity. Furthermore, the process of interpreting dream content is complicated, making it difficult for users to use.

[0746] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0747] In this invention, the server includes a means for accepting a user's dream input, a means for transmitting the input dream to the server, a means for the server to send a prompt to the generative AI model, a means for the generative AI model to generate a dream interpretation, a means for the server to receive the interpretation and transmit it to the terminal, and a means for the terminal to display the interpretation to the user. This allows the user to easily input the content of their dream and quickly receive the interpretation. Furthermore, by using the generative AI model, it is possible to perform advanced analysis of the content of dreams and provide interpretation results that can deepen the user's self-understanding and creativity.

[0748] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[0749] The "means for transmitting the input dream to the server" is a communication means for transmitting the content of the dream input by the user as data to the server.

[0750] "Means for the server to send prompt sentences to the generative AI model" refers to the means by which the server generates prompt sentences based on the content of the dream received and sends the prompt sentences to the generative AI model.

[0751] "The means by which the generative AI model generates a dream interpretation result" refers to the means by which the generative AI model analyzes the prompt sentence, interprets the content of the dream, and generates an interpretation result.

[0752] "Means for the server to receive the interpretation results and send them to the terminal" refers to the means for the server to receive the interpretation results returned from the generative AI model and send those interpretation results to the terminal.

[0753] The "means for the terminal to display the interpretation result to the user" refers to the means for the terminal to visually display the interpretation result received from the server to the user.

[0754] The present invention relates to a system that allows a user to input the content of a dream and interpret that content. A specific embodiment of this system will be described below.

[0755] Users input the details of their dreams using devices such as smartphones or tablets. The input format can be text, voice, or images. For example, consider the case where a user inputs the text, "Last night, I had a dream about flying."

[0756] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, "Last night, I had a dream about flying" is sent to the server as text data.

[0757] The server generates a prompt based on the content of the dream received. The generated prompt is then sent to a generative AI model. An example of a generative AI model is GPT-4, an advanced natural language processing model. An example of a prompt is, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream."

[0758] The generative AI model interprets the dream content based on the input prompt and returns the results to the server. The server receives the interpretation results returned from the generative AI model and sends them to the device. For example, the server may send an interpretation result such as, "Dreams of flying often symbolize freedom and liberation."

[0759] The device then displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation."

[0760] The system allows users to easily input the content of their dreams and quickly receive interpretations. Using generative AI models, the system can perform advanced analysis of dream content and provide interpretations that can deepen users' self-understanding and creativity.

[0761] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0762] Step 1:

[0763] The user inputs the details of their dream.

[0764] The user inputs the details of their dream using a device such as a smartphone or tablet. The input format is text, voice, or image. For example, the user might input "I had a dream about flying last night." The input data is saved on the device.

[0765] Step 2:

[0766] The terminal sends the input data to the server.

[0767] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, the text data "I dreamed of flying last night" is sent to the server. The input data is sent using an HTTP POST request.

[0768] Step 3:

[0769] The server sends a prompt to the generative AI model.

[0770] The server generates a prompt based on the received dream content. The generated prompt is sent to the generative AI model. For example, the prompt might be, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream." The prompt is sent to the API endpoint of the generative AI model.

[0771] Step 4:

[0772] A generative AI model generates dream interpretation results.

[0773] The generative AI model receives the prompt sent from the server and interprets the content of the dream. The generative AI model uses, for example, GPT-4, an advanced natural language processing model. The model generates an interpretation result based on the prompt. For example, it might generate an interpretation result such as, "Dreams of flying often symbolize freedom and liberation." The interpretation result is returned to the server in JSON format.

[0774] Step 5:

[0775] The server receives the interpretation results and sends them to the terminal.

[0776] The server receives the interpretation results returned by the generative AI model and sends them to the device. For example, the interpretation result sent to the device might be, "Dreams of flying often symbolize freedom and liberation." The interpretation result is sent as an HTTP response.

[0777] Step 6:

[0778] The terminal displays the interpretation results to the user.

[0779] The device displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation." The interpretation results are displayed in the user interface.

[0780] (Application example 1)

[0781] Next, a description will be given of Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0782] Conventional dream analysis systems simply interpret the content of a user's dream, but do not generate or distribute specific content based on the interpretation results. As a result, there is a lack of means for users to gain a deeper understanding of the content of their dreams and enhance their creativity. In addition, there is a need to enrich the user experience by generating and providing original stories and video content based on the content of dreams.

[0783] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0784] In this invention, the server includes a means for receiving input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user. This allows the user to receive original stories and video content based on the content of their dream, deepening their self-understanding and creativity.

[0785] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dreams in text, audio, or image form.

[0786] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[0787] "Means for generating original stories and visual content based on interpretation results" refers to a device or software that automatically generates new stories and visual content based on the content of dreams interpreted by AI means.

[0788] "Means for delivering generated content to users" refers to devices or software, including communication means and distribution platforms, for providing generated stories and video content to users.

[0789] The following system configuration is used as an embodiment of this invention. The system includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user.

[0790] 1. A means of accepting user dream input

[0791] Users use devices such as smartphones and tablets to input the details of their dreams in text, voice, or image format. The input interface is provided through a dedicated application, which is designed to allow users to easily input the details of their dreams.

[0792] 2. AI method for interpreting input dreams

[0793] The server receives the dream content submitted by the user and analyzes it using a generative AI model (e.g., GPT-4). The analysis uses natural language processing techniques to understand the dream's symbolism and messages, converting the dream content into concrete stories and themes.

[0794] 3. A means of generating original stories and video content based on the interpretation results

[0795] The server uses a generative AI model to generate original stories and video content based on the interpreted dream content. The generated content reflects the themes and symbolism of the user's dream, providing a new experience for the user.

[0796] 4. A means of delivering generated content to users

[0797] The generated stories and video content are delivered from the server to the user's device, where they can view, save, and share the content through a dedicated application.

[0798] Specific examples

[0799] For example, if a user enters "I had a dream about flying," the server receives this information and analyzes it using a generative AI model. Based on the analysis results, original stories and video content themed around the experience of flying are generated. The generated content is then delivered to the user's device, where the user can enjoy it.

[0800] Prompt Sentence Examples

[0801] User's dream: I had a dream about flying.

[0802] Generate a story based on this dream.

[0803] In this way, a system will be realized that generates and distributes original stories and video content based on the content of a user's dreams, allowing users to gain a deeper understanding of their dreams and enhance their creativity.

[0804] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0805] Step 1:

[0806] Users input the details of their dreams in text, voice, or image format using a device such as a smartphone or tablet, and the input data is sent to a server via a dedicated application.

[0807] Input: User's dream content (text, audio, images)

[0808] Output: Dream content data sent to the server

[0809] Step 2:

[0810] The server receives dream content data sent by users, stores it in a database, and prepares it for analysis.

[0811] Input: Dream content data sent by the user

[0812] Output: Dream content data stored in a database

[0813] Step 3:

[0814] The server uses a generative AI model (e.g., GPT-4) to analyze the stored dream data, using natural language processing techniques to extract dream symbols and messages.

[0815] Input: Dream content data stored in the database

[0816] Output: Analyzed dream symbols and messages

[0817] Step 4:

[0818] Based on the analysis results, the server uses a generative AI model to generate original stories and video content, creating content that reflects the themes and symbolism of the dream.

[0819] Input: Analyzed dream symbolism or message

[0820] Output: Original generated stories and video content

[0821] Step 5:

[0822] The server then distributes the generated stories and video content to users' devices, where users can view, save, and share the content through a dedicated application.

[0823] Input: Generated original story or video content

[0824] Output: Content delivered to the user's device

[0825] In this way, original stories and video content based on the content of the user's dreams are generated and provided to the user, allowing the user to gain a deeper understanding of their own dreams and enhance their creativity.

[0826] Example 2

[0827] Next, a description will be given of Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0828] Conventional dream interpretation systems have had difficulty accurately analyzing the content of a user's dream and properly interpreting its symbols and messages. Furthermore, they lacked a means to display the interpretation results in an easy-to-understand manner, preventing users from deepening their self-understanding and creativity.

[0829] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a natural language processing means for analyzing the input dream, a generation AI model means for interpreting the content of the analyzed dream, and a means for displaying the interpretation result to the user. This makes it possible to accurately analyze the content of the user's dream, appropriately interpret its symbols and messages, and display the interpretation result in an easy-to-understand manner.

[0830] A "user" is an individual who uses the system to input the contents of their dreams and receive the interpretation results.

[0831] "Means for accepting dream input" refers to a function that provides an interface for users to input the content of their dreams in text format.

[0832] "Natural language processing means" refers to technology for analyzing the content of input dreams and extracting important keywords and phrases.

[0833] "Generative AI model means" refers to an artificial intelligence model that interprets dream symbols and messages based on keywords and phrases extracted by natural language processing means.

[0834] "Means for displaying interpretation results to the user" refers to a function for displaying interpretation results obtained by the generative AI model means to the user in an easy-to-understand manner.

[0835] A "symbol" refers to an element in a dream that has a specific meaning or message.

[0836] "Message" refers to the meaning or intention conveyed in a dream.

[0837] "Analysis" refers to the process of analyzing input data and extracting meaning and patterns.

[0838] "Interpretation" refers to the process of understanding and explaining the meaning and intent of analyzed data.

[0839] MODE FOR CARRYING OUT THE INVENTION

[0840] This invention relates to a system that analyzes the content of a user's dreams and interprets their symbols and messages. The following describes how to implement this system in concrete terms.

[0841] Hardware and software used

[0842] Hardware: Server with high-performance CPU and GPU

[0843] software:

[0844] Natural language processing libraries (e.g., spaCy, NLTK)

[0845] Image analysis libraries (e.g., OpenCV, TensorFlow)

[0846] Generative AI models (e.g., GPT-4)

[0847] System Overview

[0848] This system allows users to input the details of their dreams, analyzes them, and provides interpretations. Users input the details of their dreams using a device (PC or smartphone), and the server analyzes the content to generate interpretations, which are then sent back to the device and displayed to the user.

[0849] Specific examples

[0850] Example user input:

[0851] The user opens the app on their smartphone and enters the details of their dream, such as, "Last night, I dreamed I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."

[0852] Example prompt for a generative AI model:

[0853] "Below are some dreams that users have had. Please interpret the symbols and messages of these dreams. Dream content: 'Last night I dreamed that I was swimming in a big ocean. There were lots of fish in the ocean and I felt very happy.'"

[0854] System Operation

[0855] 1. User enters dream content:

[0856] Using a device, users access a dedicated application or web interface and enter the details of their dream into a text box.

[0857] 2. The device sends the input data to the server:

[0858] The device converts the entered dream content into JSON format and sends the data to the server using an encrypted protocol (e.g., HTTPS).

[0859] 3. The server receives the data and passes it to the AI ​​engine:

[0860] The server decodes the received data, parses the JSON format data, and calls an API to pass the data to the AI ​​engine.

[0861] 4. AI engine analyzes dream content:

[0862] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases, and, if necessary, analyzes associated image data using image analysis libraries (e.g., OpenCV, TensorFlow).

[0863] 5. AI engine interprets dream meanings:

[0864] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The AI ​​engine inputs the prompt sentence into the generative AI model and obtains the interpretation result.

[0865] 6. The server sends the interpretation result to the device:

[0866] The server converts the interpretation results received from the AI ​​engine into JSON format and sends the interpretation results to the terminal using an encryption protocol.

[0867] 7. The terminal displays the interpretation result to the user:

[0868] The terminal decodes the received interpretation result and displays it in a user-friendly format, such as in a text box or a pop-up window.

[0869] In this way, users can analyze the content of their dreams and understand their symbols and messages, allowing them to deepen their self-understanding and creativity.

[0870] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0871] Step 1:

[0872] The user inputs the details of their dream.

[0873] The user uses a device to access a dedicated application or web interface and enters the content of their dream into a text box, which is then saved as text data on the device.

[0874] Step 2:

[0875] The terminal sends the input data to the server.

[0876] The device converts the dream content entered by the user into JSON format. The converted data will be in the format {"dream": "Last night, I had a dream that I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."}. The device sends this data to the server using an encrypted protocol (e.g., HTTPS).

[0877] Step 3:

[0878] The server receives the data and passes it to the AI ​​engine.

[0879] The server decodes the received JSON data and extracts the dream content. The extracted data is passed to the AI ​​engine in text format. The server then sends the data to the AI ​​engine's API endpoint.

[0880] Step 4:

[0881] An AI engine analyzes the content of dreams.

[0882] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases. For example, keywords like "ocean," "fish," and "happiness" are extracted. The results of this analysis are used in the next step.

[0883] Step 5:

[0884] An AI engine interprets the meaning of dreams.

[0885] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The prompt sentence, "The content of the dream the user had is shown below. Please interpret the symbolism and message of this dream. Dream content: 'Last night, I dreamed of swimming in a large ocean. There were many fish in the ocean, and I felt very happy.'" is input into the generative AI model. The generative AI model generates an interpretation result and returns it to the AI ​​engine.

[0886] Step 6:

[0887] The server sends the interpretation results to the terminal.

[0888] The server converts the interpretation results received from the AI ​​engine into JSON format. The converted data will be in the format {"interpretation": "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace of mind."}. The server then sends this data to the device using an encryption protocol.

[0889] Step 7:

[0890] The terminal displays the interpretation results to the user.

[0891] The device decodes the received JSON data and extracts the interpretation. The extracted interpretation is displayed in a text box or pop-up window. The user can confirm the interpretation, which reads, "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace."

[0892] (Application example 2)

[0893] Next, a description will be given of Application Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0894] Conventional dream analysis systems simply record the content of a user's dreams, but are unable to analyze and provide users with the symbols and messages of their dreams. Furthermore, they lack the functionality to provide related content based on the analysis results, making it difficult for users to deepen their self-understanding and creativity. This has led to a demand for a system that allows users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[0895] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0896] In this invention, the server includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for providing related content based on the interpretation result, a voice recognition means, a natural language processing means, and an image processing means, which make it possible to analyze the content of a user's dream, extract its symbols and messages, and provide related content.

[0897] "Means for accepting user dream input" refers to an interface that allows the user to input the content of their dream by voice or text.

[0898] "AI means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and extracts their symbols and messages.

[0899] "Means for providing relevant content based on interpretation results" is a function for providing users with content such as videos, music, and articles that are relevant to them based on the results of their dream analysis.

[0900] "Voice recognition means" is a technology that converts the content of a user's dream spoken into text.

[0901] "Natural language processing means" is a technology for analyzing text data and understanding its meaning and symbols.

[0902] "Image processing means" refers to techniques for acquiring and displaying relevant images.

[0903] A system for implementing this invention includes means for accepting input of a user's dreams, AI means for interpreting the input dreams, means for providing related content based on the interpretation results, speech recognition means, natural language processing means, and image processing means.

[0904] First, the user inputs the details of their dream by voice using a device such as a smartphone. The voice recognition means converts the user's voice into text data. The "speech_recognition" library is used for voice recognition.

[0905] The converted text data is then analyzed using natural language processing (NLP) tools, using the "transformers" library, to extract dream symbols and messages. The results of this analysis provide key information for understanding the content of the user's dream.

[0906] Based on the analysis results, a means of providing related content is activated. For example, if the dream content is "a dream of flying," related movies and images are provided. In this case, the "PIL" library is used as an image processing means to obtain and display related images. In addition, the "requests" library is used to make an API request to obtain related content.

[0907] For example, if a user says, "Last night, I dreamed of flying," speech recognition will convert that into text, and natural language processing will extract symbols like "freedom" and "adventure," after which relevant movies and images will be provided.

[0908] An example prompt is:

[0909] User's dream: "Last night I dreamed about flying."

[0910] Analysis results: "Freedom", "Adventure"

[0911] Related content: "Movies and images that give you the feeling of freedom in the sky"

[0912] In this way, it is possible to analyze the content of a user's dreams, extract symbols and messages from them, and provide related content, allowing users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[0913] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0914] Step 1:

[0915] The user inputs the content of their dream by voice using a device such as a smartphone.

[0916] Input: User's voice data

[0917] Output: Audio data

[0918] Specific operation: The user speaks about their dream into the device's microphone.

[0919] Step 2:

[0920] The terminal uses a voice recognition means to convert the user's voice into text data.

[0921] Input: Audio data

[0922] Output: Text data

[0923] What it does: Uses the "speech_recognition" library to convert audio data into text.

[0924] Step 3:

[0925] The server uses natural language processing means to analyze the text data and extract symbols and messages from the dream.

[0926] Input: Text data

[0927] Output: Analysis results (symbols and messages)

[0928] What it does: It uses the "transformers" library to parse text data and extract dream symbols and messages.

[0929] Step 4:

[0930] The server operates a means for providing related content based on the analysis results.

[0931] Input: Analysis results (symbols and messages)

[0932] Output: Related content (images, movies, etc.)

[0933] What it does: It uses the "requests" library to make API requests to get related images and movies.

[0934] Step 5:

[0935] The terminal uses image processing means to display the acquired image.

[0936] Input: Related content (image)

[0937] Output: The displayed image

[0938] Specific operation: Uses the "PIL" library to display the acquired image.

[0939] Step 6:

[0940] Users can browse related content provided to gain a deeper understanding of the content of their dreams.

[0941] Input: Displayed image or movie

[0942] Output: User's understanding and feedback

[0943] Specific behavior: The user looks at the device screen and views the provided content.

[0944] Example 3

[0945] Next, a description will be given of Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0946] In conventional systems, it was difficult to specifically experience the content of a user's dream, and there was a lack of means to interpret the dream and reproduce its results visually and audibly. Furthermore, there was no effective method to improve self-understanding and creativity based on the content of the user's dream.

[0947] The identification process by the identification processing unit 290 of the data processing device 12 in the third embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a means for using a generative AI model to interpret the input dream, a means for generating a virtual reality experience based on the interpretation result, a means for generating music based on the interpretation result, a means for generating video based on the interpretation result, and a means for providing the generated virtual reality experience, music, and video to the user. This allows the user to concretely experience the content of their dream, thereby improving self-understanding and creativity.

[0948] "User" refers to an individual who uses the system to input the contents of their dream and experience the generated virtual reality experience, music, and images.

[0949] "Means for accepting dream input" refers to an interface that allows the user to input the content of their dreams in text form.

[0950] A "generative AI model" refers to an artificial intelligence model that interprets the content of dreams entered by users and generates virtual reality experiences, music, and images based on the results of that interpretation.

[0951] "Means for generating a virtual reality experience" refers to software and hardware for creating virtual reality content that allows users to concretely experience the content of their dreams based on the interpretation results of the generative AI model.

[0952] "Means for generating music" refers to software and hardware for creating music tailored to the content of a user's dreams based on the interpretation results of the generative AI model.

[0953] "Means for generating images" refers to software and hardware for creating images that match the content of the user's dream based on the interpretation results of the generative AI model.

[0954] "Means for providing the generated virtual reality experience, music, and video to the user" refers to a terminal and interface for playing the virtual reality experience, music, and video sent from the server to the user.

[0955] MODE FOR CARRYING OUT THE INVENTION

[0956] This invention provides a system for generating virtual reality experiences, music, and images that allow users to concretely experience the content of their dreams. Specific embodiments of this system will be described below.

[0957] Hardware and software used

[0958] Hardware: High-performance servers, VR headsets, audio systems, user devices (smartphones and PCs)

[0959] Software: Generative AI models (e.g., GPT-4), VR content generation software, music generation software, video editing software

[0960] System Overview

[0961] 1. Input of user's dream

[0962] The user uses a terminal to input the details of their dream in text format.

[0963] Example: A user opens an application on their smartphone and types, "Last night I dreamed I was on an airplane."

[0964] 2. Interpretation by generative AI models

[0965] The server receives the text data sent by the user.

[0966] The server inputs prompts into a generative AI model (e.g., GPT-4) to interpret the dream content.

[0967] Example: The server sends the following prompt to a generative AI model: "Interpret the content of the user's dream last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane."

[0968] 3. Creating a Virtual Reality Experience

[0969] The server receives the interpreted results from the generative AI model and generates the virtual reality experience using VR content generation software.

[0970] Example: To recreate the scene where the user is on an airplane, the server creates a VR scene that includes elements such as airplane seats, the view from the window, and in-flight announcements.

[0971] 4. Music and Video Generation

[0972] The server uses music generation and video editing software to generate music and video for the virtual reality experience.

[0973] Example: A server creates a video containing the sound of an airplane engine, in-flight announcements, and the scenery seen from the window, and generates music to match it.

[0974] 5. Content Provision

[0975] The device receives the virtual reality experience, music, and video sent from the server and provides them to the user.

[0976] Example: A user puts on a VR headset and enjoys a virtual reality experience played on the device, making the user feel as if they are inside an airplane, with music and video playing along with the experience.

[0977] This system enables the user to concretely experience the content of their dreams, thereby improving self-understanding and creativity. The flow of the identification process in the third embodiment will be described with reference to FIG.

[0978] Step 1:

[0979] The user inputs the content of their dream. Using a device, the user inputs the content of their dream in text format. Specifically, the user opens an application on their smartphone or PC and inputs, "Last night, I had a dream that I was on an airplane." The input data is the content of the dream in text format.

[0980] Step 2:

[0981] The server receives text data sent by the user. The server prepares this text data to be passed to the generative AI model. Specifically, the server receives the user's input and generates a prompt. The input data is the content of the user's dream, and the output data is the prompt to be passed to the generative AI model.

[0982] Step 3:

[0983] The server interprets the content of the dream using a generative AI model. The server inputs a prompt into the generative AI model (e.g., GPT-4) to interpret the content of the dream. Specifically, the server sends the prompt to the generative AI model: "Interpret the content of the dream the user had last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane." The input data is the prompt, and the output data is the interpretation result.

[0984] Step 4:

[0985] The server generates a virtual reality experience based on the interpretation results. The server uses VR content generation software to generate a virtual reality experience based on the interpretation results. Specifically, the server creates a VR scene including elements such as airplane seats, the scenery seen from the window, and in-flight announcements to recreate the "scene where the user is inside an airplane." The input data is the interpretation results, and the output data is the content of the virtual reality experience.

[0986] Step 5:

[0987] The server generates music based on the interpretation results. The server uses music generation software to generate music based on the interpretation results. Specifically, the server creates music that includes airplane engine sounds, in-flight announcements, etc. The input data is the interpretation results, and the output data is the generated music.

[0988] Step 6:

[0989] The server generates a video based on the interpretation results. The server uses video editing software to generate a video based on the interpretation results. Specifically, the server creates a video that includes the scenery seen from the airplane window and the interior of the airplane. The input data is the interpretation results, and the output data is the generated video.

[0990] Step 7:

[0991] The device provides the generated virtual reality experience, music, and video to the user. The device receives the content sent from the server and plays it for the user. In concrete terms, the user puts on a VR headset and enjoys the virtual reality experience played by the device. The user experiences the sensation of being inside an airplane, with music and video played along with it. The input data is the generated virtual reality experience, music, and video, and the output data is the user's experience.

[0992] (Application example 3)

[0993] Next, a description will be given of Application Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0994] Conventional virtual reality systems have difficulty reproducing the content of a user's dreams in detail, preventing users from experiencing the dream world realistically. It is also difficult to generate music or images based on the content of a dream, preventing users from deepening their self-understanding and creativity. Therefore, there is a need for a system that can more realistically reproduce a user's dream experience and promote self-understanding and creativity.

[0995] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 3 is realized by the following means.

[0996] In this invention, the server includes means for receiving a user's dream input, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation results, a head-mounted display means for providing the generated virtual reality experience to the user, and means for integrating the generated music and video into the virtual reality experience. This allows the content of the user's dream to be specifically reproduced, allowing the user to experience the dream world realistically. Furthermore, integrating the generated music and video into the virtual reality experience can deepen the user's self-understanding and creativity.

[0997] The "means for accepting input of the user's dreams" is an interface that allows the user to input the contents of their dreams in the form of text, voice, or the like.

[0998] "Artificial intelligence means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and understands their symbols and messages.

[0999] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to technology for automatically generating virtual reality spaces, music, and images based on the content of dreams interpreted by artificial intelligence.

[1000] "Head-mounted display means for providing the generated virtual reality experience to the user" refers to a head-mounted display device used by the user to experience the generated virtual reality space.

[1001] "Means for integrating generated music and video into a virtual reality experience" refers to technology that incorporates generated music and video into a virtual reality space, allowing users to experience the experience as a whole.

[1002] The system for carrying out the present invention is for specifically recreating the content of a user's dream and providing a virtual reality experience. A specific embodiment of this system will be described below.

[1003] Hardware and software used

[1004] Hardware:

[1005] Smartphones (e.g. iPhone, Android devices)

[1006] Head-mounted displays (e.g., Oculus Rift, HTC Vive)

[1007] software:

[1008] Generative AI models (e.g., GPT-4)

[1009] VR content generation software (e.g. Unity, Unreal Engine)

[1010] Music generation software (e.g. Magenta)

[1011] System configuration

[1012] 1. A way to accept user dream input:

[1013] Users use their smartphone to input the details of their dreams by text or voice, via a dedicated application.

[1014] 2. An artificial intelligence means of interpreting input dreams:

[1015] The server uses a generative AI model (GPT-4) to analyze the content of the dream entered by the user, and extracts key scenes and elements as a result.

[1016] 3. Means for generating virtual reality experiences, music, images, etc. based on the interpretation results:

[1017] Based on the analysis results, the server generates a virtual reality space using Unity or Unreal Engine, and also uses Magenta to generate music that matches the content of the dream.

[1018] 4. A head-mounted display means for providing a generated virtual reality experience to a user:

[1019] The user wears a head-mounted display and experiences the generated virtual reality space, allowing them to experience the dream world in a realistic way.

[1020] 5. Means of integrating generated music and video into virtual reality experiences:

[1021] The server integrates the generated music and video into the virtual reality space, allowing users to experience it as a whole.

[1022] Specific examples

[1023] For example, if a user inputs "I was exploring the ocean floor" in their dream, the server will analyze the "exploring the ocean floor" scene using a generative AI model. Then, it will generate a virtual reality underwater space using Unity and generate music that matches the atmosphere of the ocean floor using Magenta. The user can experience the generated virtual reality space of the underwater exploration through a head-mounted display.

[1024] Prompt Sentence Examples

[1025] An example of a prompt for a generative AI model is:

[1026] Analyze the content of the user's dream and extract key scenes and elements. Analyze the following text:

[1027] "I was on a plane last night traveling around the world."

[1028] The above is a specific embodiment for carrying out the present invention. This system allows users to specifically recreate the content of their dreams and experience the dream world realistically through a virtual reality experience.

[1029] The flow of the specific processing in Application Example 3 will be described with reference to FIG.

[1030] Step 1:

[1031] The user inputs the details of their dream using a smartphone.

[1032] Input: The user inputs the dream details via text or voice.

[1033] Output: The input dream content is saved as text data.

[1034] How it works: The user opens the app and records their dream by entering it into a text box or by using the voice input function. The app then sends the data to the server.

[1035] Step 2:

[1036] The server uses a generative AI model (GPT-4) to analyze the content of the input dream.

[1037] Input: Text data of the dream entered by the user.

[1038] Output: As a result of the analysis, the main scenes and elements are extracted.

[1039] How it works: The server inputs the received text data into the generative AI model and uses the prompt text to analyze the dream content. The generative AI model then analyzes the dream's symbols and messages and extracts key scenes and elements.

[1040] Step 3:

[1041] The server uses Unity or Unreal Engine to generate a virtual reality space based on the analysis results.

[1042] Input: Key scenes and elements extracted as analysis results.

[1043] Output: Virtual reality space data.

[1044] How it works: Based on the analysis results, the server designs and generates a virtual reality space using Unity or Unreal Engine. For example, if an "undersea exploration" scene is extracted, a virtual reality space containing undersea scenery and creatures is generated.

[1045] Step 4:

[1046] The server uses Magenta to generate music that matches the content of the dream.

[1047] Input: Key scenes and elements extracted as analysis results.

[1048] Output: The generated music data.

[1049] How it works: Based on the analysis results, the server uses Magenta to generate music that matches the dream atmosphere. For example, quiet and mysterious music is generated to match the "undersea exploration" scene.

[1050] Step 5:

[1051] The server integrates the generated music and video into the virtual reality space.

[1052] Input: Virtual reality space data and generated music data.

[1053] Output: Integrated virtual reality experience data.

[1054] Specific operation: The server incorporates music data into the generated virtual reality space, allowing the user to experience it as an integrated whole. For example, adding mysterious music to an underwater exploration scene.

[1055] Step 6:

[1056] The user wears a head-mounted display and experiences the generated virtual reality space.

[1057] Input: Integrated virtual reality experience data.

[1058] Output: The user's experience.

[1059] How it works: The user wears a head-mounted display and accesses the virtual reality space generated through the application. The user experiences the dream world realistically and recreates the contents of the dream with music and images.

[1060] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1061] "Example 1"

[1062] In one embodiment of the present invention, the system includes an emotion engine that recognizes a user's emotions. The emotion engine infers the user's emotional state from the user's facial expressions, voice, text input, etc. For example, when a user inputs the details of a dream as text, the system can infer the user's emotional state from the phrasing and expressions in the text. Also, when a user inputs the details of a dream as voice, the system can infer the user's emotional state from the tone and strength of the voice.

[1063] "Example 2"

[1064] The emotion engine has the ability to adjust dream interpretations based on the user's emotional state. For example, if the user expresses joy, the AI ​​engine will take that emotional state into account when interpreting the dream content. This allows the engine to provide interpretations that are more suited to the user's emotional state.

[1065] "Example 3"

[1066] The generated virtual reality experience, music, and video are adjusted according to the user's emotional state. For example, if the user is expressing joy, the generated virtual reality experience, music, and video are adjusted to a bright and cheerful atmosphere. This makes it possible to provide an experience that matches the user's emotional state.

[1067] The processing flow of each embodiment will be described below.

[1068] "Example 1"

[1069] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1070] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1071] "Example 2"

[1072] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1073] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1074] Step 3: The AI ​​engine interprets the dream content taking into account the emotional state obtained from the emotion engine, which allows it to provide interpretation results that are more suited to the user's emotional state.

[1075] "Example 3"

[1076] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1077] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1078] Step 3: The AI ​​engine interprets the dream content, taking into account the emotional state obtained from the emotion engine, and generates a virtual reality experience, music, and images.

[1079] Step 4: The generated virtual reality experience, music, and video are adjusted according to the user's emotional state, making it possible to provide an experience tailored to the user's emotional state.

[1080] Example 1

[1081] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1082] Conventional dream analysis systems simply interpret the content of a user's dream, without taking into account the user's emotional state. This makes it difficult to provide a deeper understanding or appropriate feedback based on the user's emotions. Furthermore, when interpreting the content of a dream, it is not possible to generate virtual reality experiences, music, images, etc. that reflect the user's emotional state.

[1083] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1084] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means including an emotion engine for estimating the user's emotional state, and means for the emotion engine to estimate the emotional state from the user's text, voice, and image input. This enables dream analysis that takes the user's emotional state into consideration, and can provide the user with more appropriate feedback and experiences.

[1085] "Means for accepting user dream input" refers to an interface that allows a user to input the content of their dreams in text, audio, or image form.

[1086] "AI means for interpreting input dreams" refers to artificial intelligence technology that analyzes the content of dreams input by users and interprets their meanings and symbols.

[1087] "Means for generating virtual reality experiences, music, images, etc." refers to technology for generating and providing content such as virtual reality experiences, music, images, etc. to users based on the content of interpreted dreams.

[1088] "Means including an emotion engine for estimating a user's emotional state" refers to technology including an engine for estimating a user's emotional state from input data (text, voice, image).

[1089] "Means for the emotion engine to infer the user's emotional state from text, voice, and image input" refers to technology that analyzes the text, voice, and image data input by the user and infers the user's emotional state from that.

[1090] MODE FOR CARRYING OUT THE INVENTION

[1091] The present invention is a system that inputs the content of a user's dream, interprets that content, and estimates the user's emotional state. A specific embodiment of this system will be described below.

[1092] System configuration

[1093] The system includes a terminal with a user interface, a server for processing data, and an emotion engine. The terminal accepts input of dream content from the user. The input format is text, audio, or images. The server receives the input data and analyzes it.

[1094] Hardware and software used

[1095] Hardware: Server with high-performance CPU and GPU

[1096] Software: Natural Language Processing (NLP) libraries (e.g., NLTK, spaCy), speech recognition libraries (e.g., Google Speech-to-Text), image analysis libraries (e.g., OpenCV)

[1097] Processing the data

[1098] The server receives input data from the user. For example, if the user types in text, "Last night, I dreamed I was being swallowed by a giant wave," the text data is sent to the server. The server uses an NLP library to analyze the text and interpret the content of the dream.

[1099] Next, the server uses an emotion engine to estimate the user's emotional state. The emotion engine estimates the emotional state from the wording and expressions in the text entered by the user. For example, the expression "being swallowed by a huge wave" may be used to estimate "fear" as the emotional state. If the user enters the details of their dream via voice, the emotion engine estimates the emotional state from the tone and strength of the voice. For example, if the user speaks with a trembling voice, the emotion engine may recognize "anxiety" as the emotional state.

[1100] Specific examples

[1101] As a concrete example, consider a scenario in which a user enters the details of a dream as text. If the user enters, "Last night, I dreamed I was being swallowed by a giant wave," the emotion engine will infer "fear" or "anxiety" as the emotional state.

[1102] An example of a prompt to input to a generative AI model is as follows:

[1103] A user types, "Last night I dreamed I was being swallowed by a giant wave." Infer the user's emotional state from this text.

[1104] By inputting this prompt into a generative AI model, the model outputs the user's emotional state as "fear" or "anxiety."

[1105] Displaying the results

[1106] The server sends the estimated emotional state to the device, which then displays the result to the user through a user interface, such as "Based on the content of your dream, it is estimated that you are feeling fear."

[1107] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[1108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1109] Program processing flow

[1110] Step 1: Accepting input from the user

[1111] The user inputs the details of their dream through the device's user interface. The input can be in the form of text, voice, or images. For example, the user might input text such as, "Last night, I dreamed I was being swallowed by a giant wave." This input data is then processed in the next step.

[1112] Step 2: Submitting input data

[1113] The device sends the data entered by the user to the server. In the case of text data, the device sends the entered text as is to the server. In the case of voice data, the device records the voice and sends that data to the server. In the case of image data, the device captures the image and sends that data to the server. Once the input data reaches the server, the next step of processing begins.

[1114] Step 3: Emotional state estimation by the emotion engine

[1115] The server passes the received data to the emotion engine, which performs the following processes:

[1116] For text data: The server uses a natural language processing (NLP) library (e.g., NLTK, spaCy) to analyze the text and infer the emotional state. For example, it infers "fear" from the expression "being engulfed by a giant wave."

[1117] For voice data: The server converts the voice to text using a speech recognition library (e.g., Google Speech-to-Text), then uses an NLP library to estimate the emotional state. It also analyzes the tone and intensity of the voice to complete the emotional state.

[1118] For image data: The server uses an image analysis library (e.g., OpenCV) to analyze the user's facial expression from the image and estimate their emotional state. For example, if the user's facial expression is grim, it estimates their emotional state as "anxiety."

[1119] Step 4: Generate interpretation results

[1120] The server interprets the dream content based on the emotional state estimated by the emotion engine. Based on the interpretation results, it generates content such as a virtual reality experience, music, and video. For example, if "fear" is estimated as the emotional state, it generates a fear-themed virtual reality experience.

[1121] Step 5: View the results

[1122] The server then sends the generated interpretation results and content to the device, which then displays the results to the user through a user interface. For example, it may display a message such as, "Based on the content of your dream, we estimate that you are feeling fear," and provide a fear-themed virtual reality experience.

[1123] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[1124] (Application example 1)

[1125] Next, a description will be given of Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1126] Conventional dream analysis systems focus on interpreting the content of a user's dreams, but do not provide personalized content that takes into account the user's emotional state. This makes it difficult to provide appropriate content according to the user's emotional state, which makes it difficult to increase user satisfaction.

[1127] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1128] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, emotion recognition means for estimating the user's emotional state, means including a generative AI model for generating personalized content based on the emotional state and the content of the dream, and means for delivering the generated content to the user. This makes it possible to provide personalized content according to the user's emotional state.

[1129] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[1130] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[1131] "Means for generating virtual reality experiences, music, images, etc. based on the interpretation results" refers to a device or software that generates content such as virtual reality experiences, music, images, etc. to be provided to users based on the results of dream interpretation.

[1132] The "emotion recognition means for estimating the user's emotional state" is a device or software for estimating the user's emotional state from facial expressions, voice, text input, etc.

[1133] "Means including a generative AI model that generates personalized content based on emotional state and dream content" refers to a device or software that uses a generative AI model to generate individually optimized content, taking into account the user's emotional state and dream content.

[1134] A "means for delivering generated content to a user" is a device or software for delivering generated content to a user's device.

[1135] The system for implementing this invention includes a series of processes that accepts input of a user's dreams, estimates their emotional state, and generates and delivers personalized content. Specific embodiments of the system are described below.

[1136] System Configuration

[1137] 1. A means of accepting user dream input

[1138] Hardware: Smartphones, smart glasses, head-mounted displays

[1139] Software: User Interface Application

[1140] Users input their dream content in text, audio, or image format, which is converted into text using speech recognition software (e.g., Google Speech-to-Text API).

[1141] 2. AI method for interpreting input dreams

[1142] Software: Natural language processing engine (e.g. OpenAI GPT-4)

[1143] It uses artificial intelligence technology to analyze the content of input dreams and understand their symbols and messages.

[1144] 3. A means of generating virtual reality experiences, music, images, etc. based on the interpretation results

[1145] Software: Content Generation Engine

[1146] Based on the results of dream interpretation, content such as virtual reality experiences, music, and videos are generated to be provided to users.

[1147] 4. Emotion recognition method to estimate the user's emotional state

[1148] Software: Emotion recognition engine (e.g. Microsoft Azure Emotion API)

[1149] It estimates the user's emotional state from facial expressions, voice, text input, etc.

[1150] 5. Means including a generative AI model that generates personalized content based on emotional state and dream content.

[1151] Software: Generative AI models (e.g., OpenAI GPT-4)

[1152] It generates individually optimized content taking into account the user's emotional state and dream content.

[1153] 6. Means of delivering generated content to users

[1154] Hardware: Smartphones, smart glasses, head-mounted displays

[1155] Software: Content Delivery Applications

[1156] Delivering the generated content to the user's device.

[1157] Specific examples

[1158] If a user texts "I had a dream last night that I was being chased and it was very disturbing":

[1159] 1. Emotion recognition

[1160] The emotion recognition engine identifies the emotion "anxiety."

[1161] 2. Content Generation

[1162] Send the following prompt to the generative AI model:

[1163] Prompt: "The user is having dreams about being chased and is feeling anxious. Please provide them with relaxing music or a guided meditation."

[1164] 3. Content Delivery

[1165] Generative AI models generate relaxing music and guided meditations and deliver them to users.

[1166] In this way, optimal content can be provided based on the user's dream content and emotional state.

[1167] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1168] Step 1:

[1169] The user inputs the details of their dream.

[1170] Users use a smartphone, smart glasses, or head-mounted display to input their dream content in text, voice, or image format. For voice input, the device uses voice recognition software (e.g., Google Speech-to-Text API) to convert the speech into text. The input data is then sent to a server.

[1171] Step 2:

[1172] The server interprets the dream content.

[1173] The server sends the input dream content to a natural language processing engine (e.g., OpenAI GPT-4) to analyze the dream's symbols and messages. As a result of the analysis, text data about the dream content is generated.

[1174] Step 3:

[1175] The server estimates the user's emotional state.

[1176] The server sends the user's input data (text, voice, image) to an emotion recognition engine (e.g., Microsoft Azure Emotion API) to estimate the user's emotional state. The emotion recognition engine identifies emotions such as "anxiety," "joy," and "sadness" from the input data and returns the results to the server.

[1177] Step 4:

[1178] The server generates prompts based on the emotional state and the content of the dream.

[1179] The server generates a prompt to send to the generative AI model based on the analysis results and the user's emotional state. For example, if the user is feeling anxious, the prompt might be, "The user is feeling anxious after having a dream about being chased. Please provide relaxing music or a meditation guide."

[1180] Step 5:

[1181] The server generates the content using the generative AI model.

[1182] The server sends the generated prompt to a generative AI model (e.g., OpenAI GPT-4) to generate personalized content. The generative AI model generates content such as relaxing music or meditation guides based on the prompt and returns the results to the server.

[1183] Step 6:

[1184] The server delivers the generated content to the user.

[1185] The server distributes the generated content to the user's device (smartphone, smart glasses, head-mounted display). The user can relax and deepen their self-understanding by watching or listening to the distributed content.

[1186] Example 2

[1187] Next, a description will be given of Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1188] Conventional dream interpretation systems do not take into account the user's emotional state, making it difficult to provide optimal interpretation results for the user. Furthermore, they do not generate virtual reality experiences, music, or images based on the results of dream interpretation, making it difficult for users to deepen their self-understanding or creativity. This has led to a demand for a system that allows users to gain a deeper understanding of the content of their dreams and receive appropriate feedback based on their emotional state.

[1189] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1190] In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for inputting the user's emotional state, emotion analysis means for adjusting the interpretation of the dream in consideration of the emotional state, and means for generating a virtual reality experience, music, video, etc. based on the interpretation result. This makes it possible to provide an optimal dream interpretation result according to the user's emotional state, and further to generate a virtual reality experience, music, video, etc. based on the interpretation result.

[1191] A "user" is an individual who uses the system to input the contents of their dreams and receive the interpretation results.

[1192] The "means for accepting dream input" is an interface that allows the user to input the content of their dream into the system as text or images.

[1193] "Artificial intelligence means" refers to algorithms and technologies that analyze the content of input dreams and interpret their symbols and messages.

[1194] The "means for inputting emotional state" is an interface that allows the user to input their current emotional state into the system.

[1195] "Emotional analysis methods" refer to algorithms and technologies that analyze the user's emotional state and adjust the dream interpretation based on the results.

[1196] "Means for generating virtual reality experiences, music, images, etc." refers to technologies and devices for generating content such as virtual reality experiences, music, images, etc. to be provided to users based on the interpretation results.

[1197] "Interpretation results" refer to the meaning of symbols or messages obtained based on the content of the dream analyzed by artificial intelligence means.

[1198] This invention is a system that interprets the content of a user's dreams and adjusts the interpretation based on the user's emotional state. The system is mainly composed of three elements: a server, a terminal, and the user.

[1199] 1. Input of user's dream

[1200] The user uses a device to input the details of their dream as text or an image. For example, a user might input text such as "I dreamed of flying last night," or upload a picture of the scene from their dream as an image. The device can be a standard device such as a smartphone or PC.

[1201] 2. Dream content analysis

[1202] The server receives the dream content entered by the user and launches an AI engine for analysis. The AI ​​engine analyzes text data using natural language processing (NLP) technology and image data using image analysis technology. Specifically, it uses "spaCy" and "BERT" for NLP, and "OpenCV" and "TensorFlow" for image analysis. For example, the AI ​​engine interprets the content of a dream about "flying" as a symbol of "freedom" and "liberation."

[1203] 3. Input of the user's emotional state

[1204] The user uses the terminal to select or input their current emotional state. For example, the user may select "joy." The terminal provides an interface for inputting the emotional state.

[1205] 4. Adjusting Dream Interpretation

[1206] The server then activates an emotion engine, which adjusts the dream interpretation based on the user's emotional state. The emotion engine has an algorithm that modifies the interpretation based on the user's emotional state. Specifically, emotion analysis uses IBM Watson and Microsoft Azure Emotion API. For example, if the user expresses "joy," the emotion engine will emphasize interpretations such as "freedom" and "liberation."

[1207] 5. Providing interpretation results

[1208] The server generates the final interpretation and sends it to the user's device, where the user can check the interpretation. For example, a message such as, "Your dream symbolizes freedom and liberation. In conjunction with your current feelings of joy, you seem to have a positive attitude toward new challenges" may be displayed.

[1209] Examples of specific examples and prompts

[1210] Specific examples

[1211] If a user types, "I dreamed about flying last night," and selects "joy" as the emotional state, the system will offer interpretations such as "freedom" or "liberation."

[1212] Prompt Sentence Examples

[1213] "Please enter the details of the dream you had last night. Example: 'I dreamed about flying.'"

[1214] "Please select your current emotional state. Example: 'Joy'"

[1215] In this way, the system interprets the content of the user's dreams and adjusts the interpretation based on the user's emotional state, allowing the user to gain a deeper understanding of the content of their dreams and receive appropriate feedback based on their emotional state.

[1216] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1217] Step 1:

[1218] The user inputs the details of their dream.

[1219] The user uses the device to input the content of their dream as text or an image. For example, a user may input text such as "I had a dream about flying last night," or upload a picture of a scene from their dream as an image. The input data is sent to the server.

[1220] Step 2:

[1221] The server launches an AI engine and analyzes the content of the dream.

[1222] The server passes the received dream content to the AI ​​engine, which begins analysis. The AI ​​engine uses natural language processing (NLP) technology to analyze the text data and image data using image analysis technology. Specifically, it uses "spaCy" and "BERT" for NLP, and "OpenCV" and "TensorFlow" for image analysis. For example, it analyzes the text "flying in the sky" and extracts symbols such as "freedom" and "liberation." The analysis results are returned to the server.

[1223] Step 3:

[1224] The user inputs their current emotional state.

[1225] The user uses the terminal to select or input their current emotional state. For example, the user may select "joy." The input emotional state is transmitted to the server.

[1226] Step 4:

[1227] The server activates an emotion engine that adjusts the dream interpretation taking into account the emotional state.

[1228] The server passes the received emotional state to the emotion engine and begins analysis. The emotion engine uses IBM Watson and Microsoft Azure Emotion API to analyze the user's emotional state. Based on the analysis results, the dream interpretation provided by the AI ​​engine is adjusted. For example, if the user expresses "joy," the emotion engine will emphasize interpretations such as "freedom" and "liberation." The adjusted interpretation is then returned to the server.

[1229] Step 5:

[1230] The server provides the final interpretation result to the user.

[1231] The server generates an adjusted interpretation and sends it to the user's device, where the user can check the interpretation. For example, a message such as, "Your dream symbolizes freedom and liberation. In conjunction with your current feelings of joy, you seem to have a positive attitude toward new challenges" may be displayed.

[1232] (Application example 2)

[1233] Next, a description will be given of Application Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1234] Conventional dream interpretation systems only interpret the content of a user's dream, but do not adjust the interpretation results to take the user's emotional state into account or recommend content based on that. As a result, they are unable to provide interpretation results or content that are appropriate for the user's emotional state, making it difficult for users to deepen their self-understanding and creativity.

[1235] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1236] In this invention, the server includes a means for receiving input of a user's dream, an AI means for interpreting the input dream, a means for adjusting the interpretation result in consideration of the user's emotional state based on the interpretation result, and a means for recommending content based on the adjusted interpretation result. This makes it possible to provide an interpretation result suited to the user's emotional state and recommend content based on that.

[1237] The "means for accepting input of the user's dreams" is an interface that allows the user to input the content of the dream they had in the form of text, voice, or the like.

[1238] The "AI means for interpreting input dreams" is an artificial intelligence system that uses technologies such as natural language processing and image analysis to analyze the content of dreams input by users and extract their meaning.

[1239] The "means for taking into account the user's emotional state based on the interpretation result and adjusting the interpretation result" is a system for detecting the user's current emotional state and appropriately correcting the dream interpretation result based on that emotional state.

[1240] The "means for recommending content based on adjusted interpretation results" is a system for recommending content such as movies, music, articles, etc. that are suitable for a user based on adjusted dream interpretation results.

[1241] The "function to analyze dream symbols and messages" is the function to analyze the symbolic images and messages that appear in dreams and interpret what they mean.

[1242] "Recommended content enables users to deepen their self-understanding and creativity" means that the content recommended to users helps them understand their own inner thoughts and emotions and promotes creative activities.

[1243] A system for implementing this invention includes a means for accepting input of a user's dreams, an AI means for interpreting the input dream, a means for adjusting the interpretation result by taking into account the user's emotional state based on the interpretation result, and a means for recommending content based on the adjusted interpretation result.

[1244] 1. System Program

[1245] The program of this system operates as follows.

[1246] Hardware and Software

[1247] Hardware: Smartphone

[1248] Software: Python, transformers library, textblob library

[1249] Data processing and calculation

[1250] A means of accepting user dream input: Provide an interface for users to input the details of their dreams in text form. For example, provide a text input field in a smartphone application.

[1251] AI means for interpreting input dreams: Using natural language processing technology, the content of the dream input by the user is analyzed and its meaning is extracted. Specifically, the GPT-3 model is used with the transformers library.

[1252] A means to adjust the interpretation results by taking into account the user's emotional state: Detect the user's current emotional state and appropriately correct the dream interpretation results based on that emotional state. To detect the emotional state, we use the emotion analysis pipeline from the transformers library.

[1253] A means for recommending content based on the adjusted interpretation results: Based on the adjusted dream interpretation results, content such as movies, music, and articles suitable for the user are recommended. For example, if the dream interpretation result includes "joy," comedy movies are recommended.

[1254] 2. Specific examples of processing

[1255] Consider a case where a user had a dream in which they were flying over a beautiful landscape. Suppose the user's emotional state was "joy." In this case, the AI ​​engine interprets the content of the dream, and the emotion engine adjusts the interpretation result taking into account the user's emotional state. Then, based on the interpretation result, it recommends content suitable for the user (e.g., a comedy movie).

[1256] 3. Examples of prompts

[1257] An example of a prompt sentence to input to the generative AI model is as follows:

[1258] User's dream: "I was flying over a beautiful landscape."

[1259] The user's emotional state: "joy"

[1260] Please provide an interpretation of this dream and recommend content based on it.

[1261] In this way, a system can be realized that recommends appropriate content based on the content of a user's dreams and their emotional state.

[1262] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1263] Step 1:

[1264] The user inputs the details of their dream.

[1265] Users use a smartphone application to input the details of their dreams in text format, which is then sent to a server.

[1266] Input: User-entered dream text

[1267] Output: Dream text sent to server

[1268] Step 2:

[1269] The server interprets the dream content.

[1270] The server then passes the received dream text to an AI engine, which uses natural language processing techniques to analyze the dream content. Specifically, it uses the GPT-3 model with the transformers library to extract the dream's symbols and messages.

[1271] Input: Dream text

[1272] Output: Dream interpretation results (text format)

[1273] Step 3:

[1274] The server detects the user's emotional state.

[1275] The server uses a sentiment analysis pipeline to detect the user's current emotional state. Specifically, it analyzes the user's emotional state using a sentiment analysis model from the transformers library.

[1276] Input: Data indicating the user's emotional state (e.g., text, voice)

[1277] Output: User's emotional state (e.g. joy, sadness)

[1278] Step 4:

[1279] The server adjusts the interpretation results.

[1280] The server modifies the dream interpretation result appropriately based on the detected emotional state of the user. For example, if the user's emotional state is "joy," the server adds "This dream seems to reflect your joyful state." to the interpretation result.

[1281] Input: Dream interpretation results, user's emotional state

[1282] Output: Adjusted dream interpretation results

[1283] Step 5:

[1284] The server recommends content.

[1285] The server recommends content suitable for the user based on the adjusted dream interpretation result, for example, recommending comedy movies if the dream interpretation result includes "joy."

[1286] Input: Adjusted dream interpretation results

[1287] Output: Recommended content (e.g. movies, music, articles)

[1288] Step 6:

[1289] The device displays recommended content.

[1290] The terminal displays the recommended content received from the server to the user, who can then browse or view the recommended content.

[1291] Input: Recommended content

[1292] Output: The content displayed to the user

[1293] Example 3

[1294] Next, a description will be given of Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1295] Conventional virtual reality experiences, music, and video generation systems have difficulty reflecting the content of the user's dreams and do not adjust according to the user's emotional state, making it impossible to provide an optimal experience for the user. For this reason, there is a need for a system that can analyze the content of a user's dreams and adjust the generated content based on that to match the user's emotional state.

[1296] The specific processing by the specific processing unit 290 of the data processing device 12 in the third embodiment is realized by the following means.

[1297] In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means for detecting the user's emotional state, means for adjusting the generated content based on the detected emotional state, and means for providing the adjusted content to the user. This makes it possible to provide an optimal experience that reflects the content of the user's dream and is tailored to the user's emotional state.

[1298] "Means for accepting input of user's dreams" refers to a device or software that provides an interface for users to input the contents of their dreams in text or voice format.

[1299] "Artificial intelligence means for interpreting input dreams" refers to the artificial intelligence technology used to analyze and understand the content of dreams input by users.

[1300] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to devices or software for automatically generating content such as virtual reality experiences, music, images, etc. based on the content of dreams interpreted by artificial intelligence.

[1301] "Means for detecting the user's emotional state" refers to devices or software that analyze the user's facial expressions, voice, heart rate, and other biometric information to determine the user's emotional state.

[1302] "Means for adjusting generated content based on detected emotional state" means devices or software that appropriately change or adjust generated content, such as virtual reality experiences, music, or video, depending on the user's emotional state.

[1303] A "means for providing tailored content to a user" is any device or software that provides a user with tailored content, such as a virtual reality experience, music, or video, visually or aurally.

[1304] MODE FOR CARRYING OUT THE INVENTION

[1305] This invention is a system that analyzes the content of a user's dreams, generates virtual reality experiences, music, and images based on the analysis, and further adjusts them according to the user's emotional state. Specific embodiments of this system are described below.

[1306] System configuration

[1307] The system consists of the following major components:

[1308] 1. A means of accepting user dream input

[1309] Using a smartphone or PC application, users input the details of their dreams in text form, for example, "Last night I dreamed I was on an airplane."

[1310] 2. AI means of interpreting input dreams

[1311] The server receives the dream content sent by the user and analyzes it using a generative AI model (e.g., GPT-4). As a result of the analysis, key elements in the dream (e.g., airplanes, passengers, scenery) are extracted.

[1312] 3. A means of generating virtual reality experiences, music, images, etc. based on the interpretation results

[1313] The server generates the virtual reality experience, music, and video based on the analysis results. Specifically, Unity is used to create the scene inside the plane, Amper Music is used to generate the background music inside the plane, and Adobe Premiere Pro is used to create the video of the scenery seen from the plane window.

[1314] 4. How to detect the user's emotional state

[1315] The server analyzes the user's facial expressions and voice through the device's camera and microphone to detect the user's emotional state. For example, if the user is smiling, it determines that they are expressing joy.

[1316] 5. A means to tailor generated content based on detected emotional states

[1317] The server adjusts the generated content depending on the user's emotional state: for example, if the user is expressing joy, the server brightens the scene in the virtual reality experience and changes the music to a more joyful mood.

[1318] 6. How to provide tailored content to users

[1319] The device delivers the adjusted content sent from the server to the user, who can then enjoy the virtual reality experience, music, and video through a VR headset or speakers.

[1320] Specific examples

[1321] As a specific example, we will explain the process when the user is on an airplane in a dream.

[1322] Dream content: The user dreamed of being on an airplane.

[1323] Analysis results: The generative AI model analyzed the content "I'm on an airplane."

[1324] Content Generation: Unity was used to recreate the scene inside the plane. Amper Music was used to generate the music played inside the plane. Adobe Premiere Pro was used to generate the footage seen from the plane window.

[1325] Emotion adjustment: If the user is showing the emotion of joy, the generated scene will be adjusted to a bright and happy mood.

[1326] Example prompt sentence:

[1327] If the user is dreaming of being on an airplane, recreate the scene of being on an airplane and generate bright and cheerful music and images.

[1328] In this way, the content generated based on the content of the user's dream is adjusted to match the user's emotional state, providing an optimal experience. The flow of the identification process in Example 3 will be described with reference to FIG.

[1329] Step 1:

[1330] The user enters the details of their dream in text format into the device. For example, they might enter, "Last night, I had a dream that I was on an airplane." The entered text data is sent to the server.

[1331] Input: The dream content entered by the user (text data)

[1332] Output: Text data sent to the server

[1333] Step 2:

[1334] The server inputs the received text data into a generative AI model to analyze the dream content. The generative AI model extracts key elements (such as airplanes, passengers, and scenery) from the text data.

[1335] Input: User's dream content (text data)

[1336] Data Processing: Text Analysis with Generative AI Models

[1337] Output: Main elements of the dream (plane, passengers, scenery, etc.)

[1338] Step 3:

[1339] The server generates the virtual reality experience, music, and video based on the analysis results. Specifically, Unity is used to create the scene inside the plane, Amper Music is used to generate the background music inside the plane, and Adobe Premiere Pro is used to create the video of the scenery seen from the plane window.

[1340] Input: Main elements of the dream (plane, passengers, scenery, etc.)

[1341] Data processing: Scene creation in Unity, music generation in Amper Music, video generation in Adobe Premiere Pro

[1342] Output: Virtual reality experience, music, video

[1343] Step 4:

[1344] The server analyzes the user's facial expressions and voice through the device's camera and microphone to detect the user's emotional state. For example, if the user is smiling, it is determined that the user is expressing joy.

[1345] Input: User's facial expressions and voice (data from camera and microphone)

[1346] Data processing: facial expression recognition, voice analysis

[1347] Output: User's emotional state (happy, sad, etc.)

[1348] Step 5:

[1349] The server adjusts the generated content depending on the user's emotional state, for example, if the user is expressing joy, it brightens the scene in the virtual reality experience and changes the music to a more joyful mood.

[1350] Input: User's emotional state, generated content (virtual reality experience, music, video)

[1351] Data processing: Adjusting content (changing scene brightness, changing the atmosphere of music, etc.)

[1352] Output: Reconciled content

[1353] Step 6:

[1354] The device provides users with the adjusted content sent from the server, allowing them to enjoy virtual reality experiences, music, and videos through a VR headset or speakers.

[1355] Input: Tailored content (virtual reality experiences, music, video)

[1356] Output: Virtual reality experience, music, and video provided to the user

[1357] In this way, content generated based on the content of the user's dreams can be tailored to the user's emotional state to provide an optimal experience.

[1358] (Application example 3)

[1359] Next, a description will be given of Application Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1360] Conventional virtual reality, music, and video generation systems provide uniform content without considering the content of the user's dreams or emotional state, making it difficult to provide a personalized experience for each user. Furthermore, because the content is not adjusted according to the user's emotional state, these systems are unable to contribute to improving user satisfaction, self-understanding, or creativity.

[1361] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 3 is realized by the following means. In this invention, the server includes means for accepting input of a user's dream, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means for collecting the user's emotional state, means for adjusting the generated content based on the collected emotional state, and means for delivering the generated content to the user's device. This makes it possible to provide a virtual reality experience, music, and video personalized based on the content of the user's dream and emotional state.

[1362] The "means for accepting input of a user's dreams" refers to a device or software that provides an interface for a user to input the contents of their dreams in the form of text, voice, or the like.

[1363] "Artificial intelligence means for interpreting input dreams" refers to a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[1364] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to a device or software that automatically generates content such as virtual reality experiences, music, images, etc. based on the content of dreams interpreted by artificial intelligence.

[1365] "Means for collecting a user's emotional state" refers to devices or software for detecting a user's emotional state and collecting the data. Examples include emotion recognition cameras and questionnaires.

[1366] "Means for adjusting generated content based on collected emotional state" refers to a device or software that adjusts generated content, such as a virtual reality experience, music, or video, in accordance with the collected emotional state of the user.

[1367] "Means for delivering generated content to a user's device" refers to equipment or software that delivers generated content, such as virtual reality experiences, music, or video, to a user's device, such as a smartphone or head-mounted display.

[1368] The system for implementing the present invention uses the following hardware and software.

[1369] Hardware used

[1370] Smartphone (iOS or Android)

[1371] Head-mounted displays (Oculus Quest 2, etc.)

[1372] Emotion Recognition Camera

[1373] Software used

[1374] Unity (game engine)

[1375] TensorFlow (machine learning library)

[1376] OpenAI GPT-4 (generative AI model)

[1377] Program processing explanation

[1378] 1. Data Collection

[1379] Users input their dream details using text or voice using a smartphone or head-mounted display, and their emotional state is collected through an emotion-recognition camera and questionnaires.

[1380] 2. Data Analysis

[1381] The server analyzes the input dream content using natural language processing (NLP) technology, a machine learning model using TensorFlow, and analyzes data collected from emotion-recognition cameras and questionnaires to identify the user's emotional state.

[1382] 3. Content Generation

[1383] The server generates a prompt based on the analysis results. Based on this prompt, OpenAI GPT-4 is used to generate a virtual reality experience, music, and video. The generated content is then built into a virtual reality environment using Unity.

[1384] 4. Content Adjustment

[1385] The server adjusts the generated content based on the collected emotional state: for example, if the user expresses joy, the generated virtual reality experience, music, and video will be adjusted to have a bright and cheerful atmosphere.

[1386] 5. Content Delivery

[1387] The final generated content is delivered to the user's smartphone or head-mounted display, allowing the user to enjoy a personalized virtual reality experience through these devices.

[1388] Specific examples

[1389] If the user experiences a scene of "walking on the beach" in a dream, the following prompt sentence will be generated:

[1390] Prompt Sentence Examples

[1391] Recreate a scene where the user is dreaming about walking on the beach. Include sounds of waves and seabirds to create a relaxing atmosphere. Play upbeat, cheerful music in the background, as the user's emotional state is joy.

[1392] Based on this prompt, the generative AI model generates a virtual reality experience, music, and video, and provides it to the user.

[1393] The flow of the specific processing in Application Example 3 will be described with reference to FIG.

[1394] Step 1:

[1395] The user inputs the details of their dreams using text or voice using a smartphone or head-mounted display. The input data is sent to a server. The input data includes detailed descriptions of the dream contents.

[1396] Step 2:

[1397] The server analyzes the received dream content using natural language processing (NLP) technology. This analysis uses a machine learning model using TensorFlow. The input data (dream content) is analyzed to extract the dream's symbols and messages. The analysis results are output as structured data that can be used to understand the dream content.

[1398] Step 3:

[1399] To collect the user's emotional state, we use an emotion recognition camera and a questionnaire. The emotion recognition camera detects emotions from the user's facial expressions and voice, and the questionnaire collects self-reported emotion data from the user. The collected emotion data is sent to a server.

[1400] Step 4:

[1401] The server analyzes the collected emotional data. A machine learning model using TensorFlow is used for the analysis. The input data (emotional data) is analyzed to identify the user's emotional state. The analysis results are output as structured data that indicates the user's emotional state.

[1402] Step 5:

[1403] The server generates prompts based on the analysis of the dream content and emotional state. It uses a generative AI model (OpenAI GPT-4) to create prompts. Based on the input data (the analysis of the dream content and emotional state), it outputs prompts containing instructions for generating virtual reality experiences, music, and images.

[1404] Step 6:

[1405] The server generates a virtual reality experience, music, and video based on the generated prompt. The virtual reality environment is built using Unity, and music and video are created using a generative AI model (OpenAI GPT-4). Based on the input data (prompt), content is generated according to the user's dream content and emotional state.

[1406] Step 7:

[1407] The server adjusts the generated content based on the user's emotional state. For example, if the user expresses joy, the generated virtual reality experience, music, and video will be adjusted to a bright and cheerful atmosphere. Based on the input data (generated content and emotional state), the server outputs the optimal content.

[1408] Step 8:

[1409] The server then delivers the final generated content to the user's smartphone or head-mounted display, allowing the user to enjoy a personalized virtual reality experience. Based on the input data (adjusted content), the server sends content to the user's device.

[1410] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1411] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1412] Another example of generative AI is Gemini (internet search engine). <url: https: gemini.google.com ?hl="ja">) are mentioned.

[1413] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1414] [Third embodiment]

[1415] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1416] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1417] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1418] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1419] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1420] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1421] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1422] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1423] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[1424] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1425] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1426] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described.

[1427] "Example 1"

[1428] One embodiment of the present invention is a device with a user interface. This device accepts input of dream content from a user. The input is generally in text format, but voice input and image input are also possible.

[1429] "Example 2"

[1430] Next, the AI ​​engine interprets the dream by analyzing the symbols and messages within the dream. The AI ​​engine uses technologies such as natural language processing and image analysis to understand the dream content and extract its meaning.

[1431] "Example 3"

[1432] Finally, a virtual reality experience, music, and video are generated based on the interpretation. These contents are designed to allow users to concretely experience the world of their dreams. For example, if a user dreams of being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and video generated accordingly.

[1433] The processing flow of each embodiment will be described below.

[1434] "Example 1"

[1435] Step 1: A device with a user interface accepts input from the user about the dream content. This input is generally in text format, but voice input and image input are also possible.

[1436] "Example 2"

[1437] Step 1: The AI ​​engine interprets the dream content. This interpretation is done by analyzing the symbols and messages of the dream.

[1438] Step 2: The AI ​​engine uses technologies such as natural language processing and image analysis to understand the content of the dream and extract its meaning.

[1439] "Example 3"

[1440] Step 1: Virtual reality experiences, music, videos, etc. are generated based on the interpretation results. These contents are designed to allow users to concretely experience the dream world.

[1441] Step 2: For example, if the user is dreaming about being on an airplane, the virtual reality experience will recreate the scene where the user is inside the airplane, with music and visuals generated to match.

[1442] Example 1

[1443] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1444] In conventional dream interpretation systems, even if a user inputs the content of their dream, it is unclear whether the interpretation results will be beneficial to the user. There is also no guarantee that the interpretation results will deepen the user's self-understanding or creativity. Furthermore, the process of interpreting dream content is complicated, making it difficult for users to use.

[1445] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1446] In this invention, the server includes a means for accepting a user's dream input, a means for transmitting the input dream to the server, a means for the server to send a prompt to the generative AI model, a means for the generative AI model to generate a dream interpretation, a means for the server to receive the interpretation and transmit it to the terminal, and a means for the terminal to display the interpretation to the user. This allows the user to easily input the content of their dream and quickly receive the interpretation. Furthermore, by using the generative AI model, it is possible to perform advanced analysis of the content of dreams and provide interpretation results that can deepen the user's self-understanding and creativity.

[1447] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[1448] The "means for transmitting the input dream to the server" is a communication means for transmitting the content of the dream input by the user as data to the server.

[1449] "Means for the server to send prompt sentences to the generative AI model" refers to the means by which the server generates prompt sentences based on the content of the dream received and sends the prompt sentences to the generative AI model.

[1450] "The means by which the generative AI model generates a dream interpretation result" refers to the means by which the generative AI model analyzes the prompt sentence, interprets the content of the dream, and generates an interpretation result.

[1451] "Means for the server to receive the interpretation results and send them to the terminal" refers to the means for the server to receive the interpretation results returned from the generative AI model and send those interpretation results to the terminal.

[1452] The "means for the terminal to display the interpretation result to the user" refers to the means for the terminal to visually display the interpretation result received from the server to the user.

[1453] The present invention relates to a system that allows a user to input the content of a dream and interpret that content. A specific embodiment of this system will be described below.

[1454] Users input the details of their dreams using devices such as smartphones or tablets. The input format can be text, voice, or images. For example, consider the case where a user inputs the text, "Last night, I had a dream about flying."

[1455] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, "Last night, I had a dream about flying" is sent to the server as text data.

[1456] The server generates a prompt based on the content of the dream received. The generated prompt is then sent to a generative AI model. An example of a generative AI model is GPT-4, an advanced natural language processing model. An example of a prompt is, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream."

[1457] The generative AI model interprets the dream content based on the input prompt and returns the results to the server. The server receives the interpretation results returned from the generative AI model and sends them to the device. For example, the server may send an interpretation result such as, "Dreams of flying often symbolize freedom and liberation."

[1458] The device then displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation."

[1459] The system allows users to easily input the content of their dreams and quickly receive interpretations. Using generative AI models, the system can perform advanced analysis of dream content and provide interpretations that can deepen users' self-understanding and creativity.

[1460] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1461] Step 1:

[1462] The user inputs the details of their dream.

[1463] The user inputs the details of their dream using a device such as a smartphone or tablet. The input format is text, voice, or image. For example, the user might input "I had a dream about flying last night." The input data is saved on the device.

[1464] Step 2:

[1465] The terminal sends the input data to the server.

[1466] The device sends the dream content entered by the user as data to the server. At this time, the data is converted into an appropriate format. For example, the text data "I dreamed of flying last night" is sent to the server. The input data is sent using an HTTP POST request.

[1467] Step 3:

[1468] The server sends a prompt to the generative AI model.

[1469] The server generates a prompt based on the received dream content. The generated prompt is sent to the generative AI model. For example, the prompt might be, "The content of the dream the user had last night is as follows: Last night, I dreamed of flying. Please interpret the meaning of this dream." The prompt is sent to the API endpoint of the generative AI model.

[1470] Step 4:

[1471] A generative AI model generates dream interpretation results.

[1472] The generative AI model receives the prompt sent from the server and interprets the content of the dream. The generative AI model uses, for example, GPT-4, an advanced natural language processing model. The model generates an interpretation result based on the prompt. For example, it might generate an interpretation result such as, "Dreams of flying often symbolize freedom and liberation." The interpretation result is returned to the server in JSON format.

[1473] Step 5:

[1474] The server receives the interpretation results and sends them to the terminal.

[1475] The server receives the interpretation results returned by the generative AI model and sends them to the device. For example, the interpretation result sent to the device might be, "Dreams of flying often symbolize freedom and liberation." The interpretation result is sent as an HTTP response.

[1476] Step 6:

[1477] The terminal displays the interpretation results to the user.

[1478] The device displays the interpretation results received from the server to the user. The user can check the dream interpretation results on the device screen. For example, the screen may say, "Dreams of flying often symbolize freedom and liberation." The interpretation results are displayed in the user interface.

[1479] (Application example 1)

[1480] Next, a description will be given of Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1481] Conventional dream analysis systems simply interpret the content of a user's dream, but do not generate or distribute specific content based on the interpretation results. As a result, there is a lack of means for users to gain a deeper understanding of the content of their dreams and enhance their creativity. In addition, there is a need to enrich the user experience by generating and providing original stories and video content based on the content of dreams.

[1482] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1483] In this invention, the server includes a means for receiving input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user. This allows the user to receive original stories and video content based on the content of their dream, deepening their self-understanding and creativity.

[1484] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dreams in text, audio, or image form.

[1485] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[1486] "Means for generating original stories and visual content based on interpretation results" refers to a device or software that automatically generates new stories and visual content based on the content of dreams interpreted by AI means.

[1487] "Means for delivering generated content to users" refers to devices or software, including communication means and distribution platforms, for providing generated stories and video content to users.

[1488] The following system configuration is used as an embodiment of this invention. The system includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for generating original stories and video content based on the interpretation results, and a means for delivering the generated content to the user.

[1489] 1. A means of accepting user dream input

[1490] Users use devices such as smartphones and tablets to input the details of their dreams in text, voice, or image format. The input interface is provided through a dedicated application, which is designed to allow users to easily input the details of their dreams.

[1491] 2. AI method for interpreting input dreams

[1492] The server receives the dream content submitted by the user and analyzes it using a generative AI model (e.g., GPT-4). The analysis uses natural language processing techniques to understand the dream's symbolism and messages, converting the dream content into concrete stories and themes.

[1493] 3. A means of generating original stories and video content based on the interpretation results

[1494] The server uses a generative AI model to generate original stories and video content based on the interpreted dream content. The generated content reflects the themes and symbolism of the user's dream, providing a new experience for the user.

[1495] 4. A means of delivering generated content to users

[1496] The generated stories and video content are delivered from the server to the user's device, where they can view, save, and share the content through a dedicated application.

[1497] Specific examples

[1498] For example, if a user enters "I had a dream about flying," the server receives this information and analyzes it using a generative AI model. Based on the analysis results, original stories and video content themed around the experience of flying are generated. The generated content is then delivered to the user's device, where the user can enjoy it.

[1499] Prompt Sentence Examples

[1500] User's dream: I had a dream about flying.

[1501] Generate a story based on this dream.

[1502] In this way, a system will be realized that generates and distributes original stories and video content based on the content of a user's dreams, allowing users to gain a deeper understanding of their dreams and enhance their creativity.

[1503] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1504] Step 1:

[1505] Users input the details of their dreams in text, voice, or image format using a device such as a smartphone or tablet, and the input data is sent to a server via a dedicated application.

[1506] Input: User's dream content (text, audio, images)

[1507] Output: Dream content data sent to the server

[1508] Step 2:

[1509] The server receives dream content data sent by users, stores it in a database, and prepares it for analysis.

[1510] Input: Dream content data sent by the user

[1511] Output: Dream content data stored in a database

[1512] Step 3:

[1513] The server uses a generative AI model (e.g., GPT-4) to analyze the stored dream data, using natural language processing techniques to extract dream symbols and messages.

[1514] Input: Dream content data stored in the database

[1515] Output: Analyzed dream symbols and messages

[1516] Step 4:

[1517] Based on the analysis results, the server uses a generative AI model to generate original stories and video content, creating content that reflects the themes and symbolism of the dream.

[1518] Input: Analyzed dream symbolism or message

[1519] Output: Original generated stories and video content

[1520] Step 5:

[1521] The server then distributes the generated stories and video content to users' devices, where users can view, save, and share the content through a dedicated application.

[1522] Input: Generated original story or video content

[1523] Output: Content delivered to the user's device

[1524] In this way, original stories and video content based on the content of the user's dreams are generated and provided to the user, allowing the user to gain a deeper understanding of their own dreams and enhance their creativity.

[1525] Example 2

[1526] Next, a description will be given of Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1527] Conventional dream interpretation systems have had difficulty accurately analyzing the content of a user's dream and properly interpreting its symbols and messages. Furthermore, they lacked a means to display the interpretation results in an easy-to-understand manner, preventing users from deepening their self-understanding and creativity.

[1528] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a natural language processing means for analyzing the input dream, a generation AI model means for interpreting the content of the analyzed dream, and a means for displaying the interpretation result to the user. This makes it possible to accurately analyze the content of the user's dream, appropriately interpret its symbols and messages, and display the interpretation result in an easy-to-understand manner.

[1529] A "user" is an individual who uses the system to input the contents of their dreams and receive the interpretation results.

[1530] "Means for accepting dream input" refers to a function that provides an interface for users to input the content of their dreams in text format.

[1531] "Natural language processing means" refers to technology for analyzing the content of input dreams and extracting important keywords and phrases.

[1532] "Generative AI model means" refers to an artificial intelligence model that interprets dream symbols and messages based on keywords and phrases extracted by natural language processing means.

[1533] "Means for displaying interpretation results to the user" refers to a function for displaying interpretation results obtained by the generative AI model means to the user in an easy-to-understand manner.

[1534] A "symbol" refers to an element in a dream that has a specific meaning or message.

[1535] "Message" refers to the meaning or intention conveyed in a dream.

[1536] "Analysis" refers to the process of analyzing input data and extracting meaning and patterns.

[1537] "Interpretation" refers to the process of understanding and explaining the meaning and intent of analyzed data.

[1538] MODE FOR CARRYING OUT THE INVENTION

[1539] This invention relates to a system that analyzes the content of a user's dreams and interprets their symbols and messages. The following describes how to implement this system in concrete terms.

[1540] Hardware and software used

[1541] Hardware: Server with high-performance CPU and GPU

[1542] software:

[1543] Natural language processing libraries (e.g., spaCy, NLTK)

[1544] Image analysis libraries (e.g., OpenCV, TensorFlow)

[1545] Generative AI models (e.g., GPT-4)

[1546] System Overview

[1547] This system allows users to input the details of their dreams, analyzes them, and provides interpretations. Users input the details of their dreams using a device (PC or smartphone), and the server analyzes the content to generate interpretations, which are then sent back to the device and displayed to the user.

[1548] Specific examples

[1549] Example user input:

[1550] The user opens the app on their smartphone and enters the details of their dream, such as, "Last night, I dreamed I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."

[1551] Example prompt for a generative AI model:

[1552] "Below are some dreams that users have had. Please interpret the symbols and messages of these dreams. Dream content: 'Last night I dreamed that I was swimming in a big ocean. There were lots of fish in the ocean and I felt very happy.'"

[1553] System Operation

[1554] 1. User enters dream content:

[1555] Using a device, users access a dedicated application or web interface and enter the details of their dream into a text box.

[1556] 2. The device sends the input data to the server:

[1557] The device converts the entered dream content into JSON format and sends the data to the server using an encrypted protocol (e.g., HTTPS).

[1558] 3. The server receives the data and passes it to the AI ​​engine:

[1559] The server decodes the received data, parses the JSON format data, and calls an API to pass the data to the AI ​​engine.

[1560] 4. AI engine analyzes dream content:

[1561] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases, and, if necessary, analyzes associated image data using image analysis libraries (e.g., OpenCV, TensorFlow).

[1562] 5. AI engine interprets dream meanings:

[1563] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The AI ​​engine inputs the prompt sentence into the generative AI model and obtains the interpretation result.

[1564] 6. The server sends the interpretation result to the device:

[1565] The server converts the interpretation results received from the AI ​​engine into JSON format and sends the interpretation results to the terminal using an encryption protocol.

[1566] 7. The terminal displays the interpretation result to the user:

[1567] The terminal decodes the received interpretation result and displays it in a user-friendly format, such as in a text box or a pop-up window.

[1568] In this way, users can analyze the content of their dreams and understand their symbols and messages, allowing them to deepen their self-understanding and creativity.

[1569] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1570] Step 1:

[1571] The user inputs the details of their dream.

[1572] The user uses a device to access a dedicated application or web interface and enters the content of their dream into a text box, which is then saved as text data on the device.

[1573] Step 2:

[1574] The terminal sends the input data to the server.

[1575] The device converts the dream content entered by the user into JSON format. The converted data will be in the format {"dream": "Last night, I had a dream that I was swimming in a big ocean. There were lots of fish in the ocean, and I felt very happy."}. The device sends this data to the server using an encrypted protocol (e.g., HTTPS).

[1576] Step 3:

[1577] The server receives the data and passes it to the AI ​​engine.

[1578] The server decodes the received JSON data and extracts the dream content. The extracted data is passed to the AI ​​engine in text format. The server then sends the data to the AI ​​engine's API endpoint.

[1579] Step 4:

[1580] An AI engine analyzes the content of dreams.

[1581] The AI ​​engine uses natural language processing libraries (e.g., spaCy, NLTK) to tokenize the text data and extract important keywords and phrases. For example, keywords like "ocean," "fish," and "happiness" are extracted. The results of this analysis are used in the next step.

[1582] Step 5:

[1583] An AI engine interprets the meaning of dreams.

[1584] The AI ​​engine uses a generative AI model (e.g., GPT-4) to interpret the meaning of the dream based on the extracted keywords and phrases. The prompt sentence, "The content of the dream the user had is shown below. Please interpret the symbolism and message of this dream. Dream content: 'Last night, I dreamed of swimming in a large ocean. There were many fish in the ocean, and I felt very happy.'" is input into the generative AI model. The generative AI model generates an interpretation result and returns it to the AI ​​engine.

[1585] Step 6:

[1586] The server sends the interpretation results to the terminal.

[1587] The server converts the interpretation results received from the AI ​​engine into JSON format. The converted data will be in the format {"interpretation": "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace of mind."}. The server then sends this data to the device using an encryption protocol.

[1588] Step 7:

[1589] The terminal displays the interpretation results to the user.

[1590] The device decodes the received JSON data and extracts the interpretation. The extracted interpretation is displayed in a text box or pop-up window. The user can confirm the interpretation, which reads, "This dream indicates that you are satisfied with your current life. The sea symbolizes infinite possibilities, and fish represent abundance and prosperity. The fact that you are swimming happily indicates that you are satisfied with your environment and feel at peace."

[1591] (Application example 2)

[1592] Next, a description will be given of Application Example 2 of Form Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1593] Conventional dream analysis systems simply record the content of a user's dreams, but are unable to analyze and provide users with the symbols and messages of their dreams. Furthermore, they lack the functionality to provide related content based on the analysis results, making it difficult for users to deepen their self-understanding and creativity. This has led to a demand for a system that allows users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[1594] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1595] In this invention, the server includes a means for accepting input of a user's dream, an AI means for interpreting the input dream, a means for providing related content based on the interpretation result, a voice recognition means, a natural language processing means, and an image processing means, which make it possible to analyze the content of a user's dream, extract its symbols and messages, and provide related content.

[1596] "Means for accepting user dream input" refers to an interface that allows the user to input the content of their dream by voice or text.

[1597] "AI means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and extracts their symbols and messages.

[1598] "Means for providing relevant content based on interpretation results" is a function for providing users with content such as videos, music, and articles that are relevant to them based on the results of their dream analysis.

[1599] "Voice recognition means" is a technology that converts the content of a user's dream spoken into text.

[1600] "Natural language processing means" is a technology for analyzing text data and understanding its meaning and symbols.

[1601] "Image processing means" refers to techniques for acquiring and displaying relevant images.

[1602] A system for implementing this invention includes means for accepting input of a user's dreams, AI means for interpreting the input dreams, means for providing related content based on the interpretation results, speech recognition means, natural language processing means, and image processing means.

[1603] First, the user inputs the details of their dream by voice using a device such as a smartphone. The voice recognition means converts the user's voice into text data. The "speech_recognition" library is used for voice recognition.

[1604] The converted text data is then analyzed using natural language processing (NLP) tools, using the "transformers" library, to extract dream symbols and messages. The results of this analysis provide key information for understanding the content of the user's dream.

[1605] Based on the analysis results, a means of providing related content is activated. For example, if the dream content is "a dream of flying," related movies and images are provided. In this case, the "PIL" library is used as an image processing means to obtain and display related images. In addition, the "requests" library is used to make an API request to obtain related content.

[1606] For example, if a user says, "Last night, I dreamed of flying," speech recognition will convert that into text, and natural language processing will extract symbols like "freedom" and "adventure," after which relevant movies and images will be provided.

[1607] An example prompt is:

[1608] User's dream: "Last night I dreamed about flying."

[1609] Analysis results: "Freedom", "Adventure"

[1610] Related content: "Movies and images that give you the feeling of freedom in the sky"

[1611] In this way, it is possible to analyze the content of a user's dreams, extract symbols and messages from them, and provide related content, allowing users to gain a deeper understanding of the content of their dreams and apply it to their daily lives.

[1612] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1613] Step 1:

[1614] The user inputs the content of their dream by voice using a device such as a smartphone.

[1615] Input: User's voice data

[1616] Output: Audio data

[1617] Specific operation: The user speaks about their dream into the device's microphone.

[1618] Step 2:

[1619] The terminal uses a voice recognition means to convert the user's voice into text data.

[1620] Input: Audio data

[1621] Output: Text data

[1622] What it does: Uses the "speech_recognition" library to convert audio data into text.

[1623] Step 3:

[1624] The server uses natural language processing means to analyze the text data and extract symbols and messages from the dream.

[1625] Input: Text data

[1626] Output: Analysis results (symbols and messages)

[1627] What it does: It uses the "transformers" library to parse text data and extract dream symbols and messages.

[1628] Step 4:

[1629] The server operates a means for providing related content based on the analysis results.

[1630] Input: Analysis results (symbols and messages)

[1631] Output: Related content (images, movies, etc.)

[1632] What it does: It uses the "requests" library to make API requests to get related images and movies.

[1633] Step 5:

[1634] The terminal uses image processing means to display the acquired image.

[1635] Input: Related content (image)

[1636] Output: The displayed image

[1637] Specific operation: Uses the "PIL" library to display the acquired image.

[1638] Step 6:

[1639] Users can browse related content provided to gain a deeper understanding of the content of their dreams.

[1640] Input: Displayed image or movie

[1641] Output: User's understanding and feedback

[1642] Specific behavior: The user looks at the device screen and views the provided content.

[1643] Example 3

[1644] Next, a third embodiment of the third embodiment will be described. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1645] In conventional systems, it was difficult to specifically experience the content of a user's dream, and there was a lack of means to interpret the dream and reproduce its results visually and audibly. Furthermore, there was no effective method to improve self-understanding and creativity based on the content of the user's dream.

[1646] The identification process by the identification processing unit 290 of the data processing device 12 in the third embodiment is realized by the following means. In this invention, the server includes a means for accepting input of a user's dream, a means for using a generative AI model to interpret the input dream, a means for generating a virtual reality experience based on the interpretation result, a means for generating music based on the interpretation result, a means for generating video based on the interpretation result, and a means for providing the generated virtual reality experience, music, and video to the user. This allows the user to concretely experience the content of their dream, thereby improving self-understanding and creativity.

[1647] "User" refers to an individual who uses the system to input the contents of their dream and experience the generated virtual reality experience, music, and images.

[1648] "Means for accepting dream input" refers to an interface that allows the user to input the content of their dreams in text form.

[1649] A "generative AI model" refers to an artificial intelligence model that interprets the content of dreams entered by users and generates virtual reality experiences, music, and images based on the results of that interpretation.

[1650] "Means for generating a virtual reality experience" refers to software and hardware for creating virtual reality content that allows users to concretely experience the content of their dreams based on the interpretation results of the generative AI model.

[1651] "Means for generating music" refers to software and hardware for creating music tailored to the content of a user's dreams based on the interpretation results of the generative AI model.

[1652] "Means for generating images" refers to software and hardware for creating images that match the content of the user's dream based on the interpretation results of the generative AI model.

[1653] "Means for providing the generated virtual reality experience, music, and video to the user" refers to a terminal and interface for playing the virtual reality experience, music, and video sent from the server to the user.

[1654] MODE FOR CARRYING OUT THE INVENTION

[1655] This invention provides a system for generating virtual reality experiences, music, and images that allow users to concretely experience the content of their dreams. Specific embodiments of this system will be described below.

[1656] Hardware and software used

[1657] Hardware: High-performance servers, VR headsets, audio systems, user devices (smartphones and PCs)

[1658] Software: Generative AI models (e.g., GPT-4), VR content generation software, music generation software, video editing software

[1659] System Overview

[1660] 1. Input of user's dream

[1661] The user uses a terminal to input the details of their dream in text format.

[1662] Example: A user opens an application on their smartphone and types, "Last night I dreamed I was on an airplane."

[1663] 2. Interpretation by generative AI models

[1664] The server receives the text data sent by the user.

[1665] The server inputs prompts into a generative AI model (e.g., GPT-4) to interpret the dream content.

[1666] Example: The server sends the following prompt to a generative AI model: "Interpret the content of the user's dream last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane."

[1667] 3. Creating a Virtual Reality Experience

[1668] The server receives the interpreted results from the generative AI model and generates the virtual reality experience using VR content generation software.

[1669] Example: To recreate the scene where the user is on an airplane, the server creates a VR scene that includes elements such as airplane seats, the view from the window, and in-flight announcements.

[1670] 4. Music and Video Generation

[1671] The server uses music generation and video editing software to generate music and video for the virtual reality experience.

[1672] Example: A server creates a video containing the sound of an airplane engine, in-flight announcements, and the scenery seen from the window, and generates music to match it.

[1673] 5. Content Provision

[1674] The device receives the virtual reality experience, music, and video sent from the server and provides them to the user.

[1675] Example: A user puts on a VR headset and enjoys a virtual reality experience played on the device, making the user feel as if they are inside an airplane, with music and video playing along with the experience.

[1676] This system enables the user to concretely experience the content of their dreams, thereby improving self-understanding and creativity. The flow of the identification process in the third embodiment will be described with reference to FIG.

[1677] Step 1:

[1678] The user inputs the content of their dream. Using a device, the user inputs the content of their dream in text format. Specifically, the user opens an application on their smartphone or PC and inputs, "Last night, I had a dream that I was on an airplane." The input data is the content of the dream in text format.

[1679] Step 2:

[1680] The server receives text data sent by the user. The server prepares this text data to be passed to the generative AI model. Specifically, the server receives the user's input and generates a prompt. The input data is the content of the user's dream, and the output data is the prompt to be passed to the generative AI model.

[1681] Step 3:

[1682] The server interprets the content of the dream using a generative AI model. The server inputs a prompt into the generative AI model (e.g., GPT-4) to interpret the content of the dream. Specifically, the server sends the prompt to the generative AI model: "Interpret the content of the dream the user had last night and generate a virtual reality experience, music, and video. Dream content: I was on an airplane." The input data is the prompt, and the output data is the interpretation result.

[1683] Step 4:

[1684] The server generates a virtual reality experience based on the interpretation results. The server uses VR content generation software to generate a virtual reality experience based on the interpretation results. Specifically, the server creates a VR scene including elements such as airplane seats, the scenery seen from the window, and in-flight announcements to recreate the "scene where the user is inside an airplane." The input data is the interpretation results, and the output data is the content of the virtual reality experience.

[1685] Step 5:

[1686] The server generates music based on the interpretation results. The server uses music generation software to generate music based on the interpretation results. Specifically, the server creates music that includes airplane engine sounds, in-flight announcements, etc. The input data is the interpretation results, and the output data is the generated music.

[1687] Step 6:

[1688] The server generates a video based on the interpretation results. The server uses video editing software to generate a video based on the interpretation results. Specifically, the server creates a video that includes the scenery seen from the airplane window and the interior of the airplane. The input data is the interpretation results, and the output data is the generated video.

[1689] Step 7:

[1690] The device provides the generated virtual reality experience, music, and video to the user. The device receives the content sent from the server and plays it for the user. In concrete terms, the user puts on a VR headset and enjoys the virtual reality experience played by the device. The user experiences the sensation of being inside an airplane, with music and video played along with it. The input data is the generated virtual reality experience, music, and video, and the output data is the user's experience.

[1691] (Application example 3)

[1692] Next, a description will be given of Application Example 3 of Form Example 3. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1693] Conventional virtual reality systems have difficulty reproducing the content of a user's dreams in detail, preventing users from experiencing the dream world realistically. It is also difficult to generate music or images based on the content of a dream, preventing users from deepening their self-understanding and creativity. Therefore, there is a need for a system that can more realistically reproduce a user's dream experience and promote self-understanding and creativity.

[1694] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 3 is realized by the following means.

[1695] In this invention, the server includes means for receiving a user's dream input, artificial intelligence means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation results, a head-mounted display means for providing the generated virtual reality experience to the user, and means for integrating the generated music and video into the virtual reality experience. This allows the content of the user's dream to be specifically reproduced, allowing the user to experience the dream world realistically. Furthermore, integrating the generated music and video into the virtual reality experience can deepen the user's self-understanding and creativity.

[1696] The "means for accepting input of the user's dreams" is an interface that allows the user to input the contents of their dreams in the form of text, voice, or the like.

[1697] "Artificial intelligence means for interpreting input dreams" is an artificial intelligence technology that analyzes the content of dreams input by users and understands their symbols and messages.

[1698] "Means for generating virtual reality experiences, music, images, etc. based on interpretation results" refers to technology for automatically generating virtual reality spaces, music, and images based on the content of dreams interpreted by artificial intelligence.

[1699] "Head-mounted display means for providing the generated virtual reality experience to the user" refers to a head-mounted display device used by the user to experience the generated virtual reality space.

[1700] "Means for integrating generated music and video into a virtual reality experience" refers to technology that incorporates generated music and video into a virtual reality space, allowing users to experience the experience as a whole.

[1701] The system for carrying out the present invention is for specifically recreating the content of a user's dream and providing a virtual reality experience. A specific embodiment of this system will be described below.

[1702] Hardware and software used

[1703] Hardware:

[1704] Smartphones (e.g. iPhone, Android devices)

[1705] Head-mounted displays (e.g., Oculus Rift, HTC Vive)

[1706] software:

[1707] Generative AI models (e.g., GPT-4)

[1708] VR content generation software (e.g. Unity, Unreal Engine)

[1709] Music generation software (e.g. Magenta)

[1710] System configuration

[1711] 1. A way to accept user dream input:

[1712] Users use their smartphone to input the details of their dreams by text or voice, via a dedicated application.

[1713] 2. An artificial intelligence means of interpreting input dreams:

[1714] The server uses a generative AI model (GPT-4) to analyze the content of the dream entered by the user, and extracts key scenes and elements as a result.

[1715] 3. Means for generating virtual reality experiences, music, images, etc. based on the interpretation results:

[1716] Based on the analysis results, the server generates a virtual reality space using Unity or Unreal Engine, and also uses Magenta to generate music that matches the content of the dream.

[1717] 4. A head-mounted display means for providing a generated virtual reality experience to a user:

[1718] The user wears a head-mounted display and experiences the generated virtual reality space, allowing them to experience the dream world in a realistic way.

[1719] 5. Means of integrating generated music and video into virtual reality experiences:

[1720] The server integrates the generated music and video into the virtual reality space, allowing users to experience it as a whole.

[1721] Specific examples

[1722] For example, if a user inputs "I was exploring the ocean floor" in their dream, the server will analyze the "exploring the ocean floor" scene using a generative AI model. Then, it will generate a virtual reality underwater space using Unity and generate music that matches the atmosphere of the ocean floor using Magenta. The user can experience the generated virtual reality space of the underwater exploration through a head-mounted display.

[1723] Prompt Sentence Examples

[1724] An example of a prompt for a generative AI model is:

[1725] Analyze the content of the user's dream and extract key scenes and elements. Analyze the following text:

[1726] "I was on a plane last night traveling around the world."

[1727] The above is a specific embodiment for carrying out the present invention. This system allows users to specifically recreate the content of their dreams and experience the dream world realistically through a virtual reality experience.

[1728] The flow of the specific processing in Application Example 3 will be described with reference to FIG.

[1729] Step 1:

[1730] The user inputs the details of their dream using a smartphone.

[1731] Input: The user inputs the dream details via text or voice.

[1732] Output: The input dream content is saved as text data.

[1733] How it works: The user opens the app and records their dream by entering it into a text box or by using the voice input function. The app then sends the data to the server.

[1734] Step 2:

[1735] The server uses a generative AI model (GPT-4) to analyze the content of the input dream.

[1736] Input: Text data of the dream entered by the user.

[1737] Output: As a result of the analysis, the main scenes and elements are extracted.

[1738] How it works: The server inputs the received text data into the generative AI model and uses the prompt text to analyze the dream content. The generative AI model then analyzes the dream's symbols and messages and extracts key scenes and elements.

[1739] Step 3:

[1740] The server uses Unity or Unreal Engine to generate a virtual reality space based on the analysis results.

[1741] Input: Key scenes and elements extracted as analysis results.

[1742] Output: Virtual reality space data.

[1743] How it works: Based on the analysis results, the server designs and generates a virtual reality space using Unity or Unreal Engine. For example, if an "undersea exploration" scene is extracted, a virtual reality space containing undersea scenery and creatures is generated.

[1744] Step 4:

[1745] The server uses Magenta to generate music that matches the content of the dream.

[1746] Input: Key scenes and elements extracted as analysis results.

[1747] Output: The generated music data.

[1748] How it works: Based on the analysis results, the server uses Magenta to generate music that matches the dream atmosphere. For example, quiet and mysterious music is generated to match the "undersea exploration" scene.

[1749] Step 5:

[1750] The server integrates the generated music and video into the virtual reality space.

[1751] Input: Virtual reality space data and generated music data.

[1752] Output: Integrated virtual reality experience data.

[1753] Specific operation: The server incorporates music data into the generated virtual reality space, allowing the user to experience it as an integrated whole. For example, adding mysterious music to an underwater exploration scene.

[1754] Step 6:

[1755] The user wears a head-mounted display and experiences the generated virtual reality space.

[1756] Input: Integrated virtual reality experience data.

[1757] Output: The user's experience.

[1758] How it works: The user wears a head-mounted display and accesses the virtual reality space generated through the application. The user experiences the dream world realistically and recreates the contents of the dream with music and images.

[1759] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1760] "Example 1"

[1761] In one embodiment of the present invention, the system includes an emotion engine that recognizes the user's emotions and infers the user's emotional state from facial expressions, voice, text input, etc.

[1762] For example, when a user enters the details of a dream in text, the emotional state of the user can be inferred from the vocabulary and expressions of the text.Also, when a user enters the details of a dream in voice, the emotional state can be inferred from the tone and strength of the voice.

[1763] "Example 2"

[1764] The emotion engine has the ability to adjust dream interpretations based on the user's emotional state. For example, if the user expresses joy, the AI ​​engine will take that emotional state into account when interpreting the dream content. This allows the engine to provide interpretations that are more suited to the user's emotional state.

[1765] "Example 3"

[1766] The generated virtual reality experience, music, and video are adjusted according to the user's emotional state. For example, if the user is expressing joy, the generated virtual reality experience, music, and video are adjusted to a bright and cheerful atmosphere. This makes it possible to provide an experience that matches the user's emotional state.

[1767] The processing flow of each embodiment will be described below.

[1768] "Example 1"

[1769] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1770] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1771] "Example 2"

[1772] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1773] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1774] Step 3: The AI ​​engine interprets the dream content taking into account the emotional state obtained from the emotion engine, which allows it to provide interpretation results that are more suited to the user's emotional state.

[1775] "Example 3"

[1776] Step 1: The user inputs the details of their dream into the system, in a format of their choice, such as text or voice.

[1777] Step 2: The emotion engine infers the emotional state from the user's input by analyzing the wording and expression of the text, as well as the tone and stress of the voice.

[1778] Step 3: The AI ​​engine interprets the dream content, taking into account the emotional state obtained from the emotion engine, and generates a virtual reality experience, music, and images.

[1779] Step 4: The generated virtual reality experience, music, and video are adjusted according to the user's emotional state, making it possible to provide an experience tailored to the user's emotional state.

[1780] Example 1

[1781] Next, a description will be given of Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1782] Conventional dream analysis systems simply interpret the content of a user's dream, without taking into account the user's emotional state. This makes it difficult to provide a deeper understanding or appropriate feedback based on the user's emotions. Furthermore, when interpreting the content of a dream, it is not possible to generate virtual reality experiences, music, images, etc. that reflect the user's emotional state.

[1783] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1784] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, means including an emotion engine for estimating the user's emotional state, and means for the emotion engine to estimate the emotional state from the user's text, voice, and image input. This enables dream analysis that takes the user's emotional state into consideration, and can provide the user with more appropriate feedback and experiences.

[1785] "Means for accepting user dream input" refers to an interface that allows a user to input the content of their dreams in text, audio, or image form.

[1786] "AI means for interpreting input dreams" refers to artificial intelligence technology that analyzes the content of dreams input by users and interprets their meanings and symbols.

[1787] "Means for generating virtual reality experiences, music, images, etc." refers to technology for generating and providing content such as virtual reality experiences, music, images, etc. to users based on the content of interpreted dreams.

[1788] "Means including an emotion engine for estimating a user's emotional state" refers to technology including an engine for estimating a user's emotional state from input data (text, voice, image).

[1789] "Means for the emotion engine to infer the user's emotional state from text, voice, and image input" refers to technology that analyzes the text, voice, and image data input by the user and infers the user's emotional state from that.

[1790] MODE FOR CARRYING OUT THE INVENTION

[1791] The present invention is a system that inputs the content of a user's dream, interprets that content, and estimates the user's emotional state. A specific embodiment of this system will be described below.

[1792] System configuration

[1793] The system includes a terminal with a user interface, a server for processing data, and an emotion engine. The terminal accepts input of dream content from the user. The input format is text, audio, or images. The server receives the input data and analyzes it.

[1794] Hardware and software used

[1795] Hardware: Server with high-performance CPU and GPU

[1796] Software: Natural Language Processing (NLP) libraries (e.g., NLTK, spaCy), speech recognition libraries (e.g., Google Speech-to-Text), image analysis libraries (e.g., OpenCV)

[1797] Processing the data

[1798] The server receives input data from the user. For example, if the user types in text, "Last night, I dreamed I was being swallowed by a giant wave," the text data is sent to the server. The server uses an NLP library to analyze the text and interpret the content of the dream.

[1799] Next, the server uses an emotion engine to estimate the user's emotional state. The emotion engine estimates the emotional state from the wording and expressions in the text entered by the user. For example, the expression "being swallowed by a huge wave" may be used to estimate "fear" as the emotional state. If the user enters the details of their dream via voice, the emotion engine estimates the emotional state from the tone and strength of the voice. For example, if the user speaks with a trembling voice, the emotion engine may recognize "anxiety" as the emotional state.

[1800] Specific examples

[1801] As a concrete example, consider a scenario in which a user enters the details of a dream as text. If the user enters, "Last night, I dreamed I was being swallowed by a giant wave," the emotion engine will infer "fear" or "anxiety" as the emotional state.

[1802] An example of a prompt to input to a generative AI model is as follows:

[1803] A user types, "Last night I dreamed I was being swallowed by a giant wave." Infer the user's emotional state from this text.

[1804] By inputting this prompt into a generative AI model, the model outputs the user's emotional state as "fear" or "anxiety."

[1805] Displaying the results

[1806] The server sends the estimated emotional state to the device, which then displays the result to the user through a user interface, such as "Based on the content of your dream, it is estimated that you are feeling fear."

[1807] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[1808] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1809] Program processing flow

[1810] Step 1: Accepting input from the user

[1811] The user inputs the details of their dream through the device's user interface. The input can be in the form of text, voice, or images. For example, the user might input text such as, "Last night, I dreamed I was being swallowed by a giant wave." This input data is then processed in the next step.

[1812] Step 2: Submitting input data

[1813] The device sends the data entered by the user to the server. In the case of text data, the device sends the entered text as is to the server. In the case of voice data, the device records the voice and sends that data to the server. In the case of image data, the device captures the image and sends that data to the server. Once the input data reaches the server, the next step of processing begins.

[1814] Step 3: Emotional state estimation by the emotion engine

[1815] The server passes the received data to the emotion engine, which performs the following processes:

[1816] For text data: The server uses a natural language processing (NLP) library (e.g., NLTK, spaCy) to analyze the text and infer the emotional state. For example, it infers "fear" from the expression "being engulfed by a giant wave."

[1817] For voice data: The server converts the voice to text using a speech recognition library (e.g., Google Speech-to-Text), then uses an NLP library to estimate the emotional state. It also analyzes the tone and intensity of the voice to complete the emotional state.

[1818] For image data: The server uses an image analysis library (e.g., OpenCV) to analyze the user's facial expression from the image and estimate their emotional state. For example, if the user's facial expression is grim, it estimates their emotional state as "anxiety."

[1819] Step 4: Generate interpretation results

[1820] The server interprets the dream content based on the emotional state estimated by the emotion engine. Based on the interpretation results, it generates content such as a virtual reality experience, music, and video. For example, if "fear" is estimated as the emotional state, it generates a fear-themed virtual reality experience.

[1821] Step 5: View the results

[1822] The server then sends the generated interpretation results and content to the device, which then displays the results to the user through a user interface. For example, it may display a message such as, "Based on the content of your dream, we estimate that you are feeling fear," and provide a fear-themed virtual reality experience.

[1823] In this way, by analyzing the content of the user's dreams and inferring their emotional state, it is possible to provide the user with more appropriate feedback and experiences.

[1824] (Application example 1)

[1825] Next, a description will be given of Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1826] Conventional dream analysis systems focus on interpreting the content of a user's dreams, but do not provide personalized content that takes into account the user's emotional state. This makes it difficult to provide appropriate content according to the user's emotional state, which makes it difficult to increase user satisfaction.

[1827] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1828] In this invention, the server includes means for accepting input of a user's dream, AI means for interpreting the input dream, means for generating a virtual reality experience, music, video, etc. based on the interpretation result, emotion recognition means for estimating the user's emotional state, means including a generative AI model for generating personalized content based on the emotional state and the content of the dream, and means for delivering the generated content to the user. This makes it possible to provide personalized content according to the user's emotional state.

[1829] A "means for accepting user dream input" is a device or software that provides an interface for a user to input the content of their dream in text, voice, or image form.

[1830] An "AI means for interpreting input dreams" is a device or software that uses artificial intelligence technology to analyze the content of dreams input by users and understand their symbols and messages.

[1831] "Means for generating virtual reality experiences, music, images, etc. based on the interpretation results" refers to a device or software that generates content such as virtual reality experiences, music, images, etc. to be provided to users based on the results of dream interpretation.

[1832] The "emotion recognition means for estimating the user's emotional state" is a device or software for estimating the user's emotional state from facial expressions, voice, text input, etc.

[1833] "Means including a generative AI model that generates personalized content based on emotional state and dream content" refers to a device or software that uses a generative AI model to generate individually optimized content, taking into account the user's emotional state and dream content.

[1834] A "means for delivering generated content to a user" is a device or software for delivering generated content to a user's device.

[1835] The system for implementing this invention includes a series of processes that accepts input of a user's dreams, estimates their emotional state, and generates and delivers personalized content. Specific embodiments of the system are described below.

[1836] System Configuration

[1837] 1. A means of accepting user dream input

[1838] Hardware: Smartphones, smart glasses, head-mounted displays

[1839] Software: User Interface Application

[1840] Users input their dream content in text, audio, or image format, which is converted into text using speech recognition software (e.g., Google Speech-to-Text API).

[1841] 2. AI method for interpreting input dreams

[1842] Software: Natural language processing engine (e.g. OpenAI GPT-4)

[1843] It uses artificial intelligence technology to analyze the content of input dreams and understand their symbols and messages.

[1844] 3. A means of generating virtual reality experiences, music, images, etc. based on the interpretation results

[1845] Software: Content Generation Engine

[1846] Based on the results of dream interpretation, content such as virtual reality experiences, music, and videos are generated to be provided to users.

[1847] 4. Emotion recognition method to estimate the user's emotional state

[1848] Software: Emotion recognition engine (e.g. Microsoft Azure Emotion API)

[1849] It estimates the user's emotional state from facial expressions, voice, text input, etc.

[1850] 5. Means including a generative AI model that generates personalized content based on emotional state and dream content.

[1851] Software: Generative AI models (e.g., OpenAI GPT-4)

[1852] It generates individually optimized content taking into account the user's emotional state and dream content.

[1853] 6. Means of delivering generated content to users

[1854] Hardware: Smartphones, smart glasses, head-mounted displays

[1855] Software: Content Delivery Applications

[1856] Delivering the generated content to the user's device.

[1857] Specific examples

[1858] If a user texts "I had a dream last night that I was being chased and it was very disturbing":

[1859] 1. Emotion recognition

[1860] The emotion recognition engine identifies the emotion "anxiety."

[1861] 2. Content Generation

[1862] Send the following prompt to the generative AI model:

[1863] Prompt: "The user is having dreams about being chased and is feeling anxious. Please provide them with relaxing music or a guided meditation."

[1864] 3. Content Delivery

[1865] Generative AI models generate relaxing music and guided meditations and deliver them to users.

[1866] In this way, optimal content can be provided based on the user's dream content and emotional state.

[1867] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1868] Step 1:

[1869] The user inputs the details of their dream.

[1870] Users use a smartphone, smart glasses, or head-mounted display to input their dream content in text, voice, or image format. For voice input, the device uses voice recognition software (e.g., Google Speech-to-Text API) to convert the speech into text. The input data is then sent to a server.

[1871] Step 2:

[1872] The server interprets the dream content.

[1873] The server sends th...

Claims

1. A means for accepting input of a user's dream; An AI means for interpreting input dreams; A means for generating content including a story or a video based on the interpretation result; a means for delivering the generated content to users; A system including:

2. A means for accepting input of a user's dream; An AI means for interpreting input dreams; an emotion recognition means for estimating an emotional state of a user; A means for generating content including a virtual reality experience, music, or video based on the estimated emotional state and the dream interpretation result; The system includes a means for delivering the generated content to a user.

3. A means for accepting input of a user's dream; an artificial intelligence means for interpreting input dreams; A means for generating a virtual reality experience, music, or video based on the interpretation result; A means for collecting an emotional state of a user; means for adjusting the generated content based on the collected emotional state; a means for delivering the tailored content to the user; A system including:

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