Digital Virtual Clone Using Segmented Attribute Capture
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Solution Overview
Problem
Traditional virtual cloning technologies lack the ability to create a digital virtual clone that learns and functions effectively on behalf of a user, as they fail to incorporate human emotions and intelligence, leading to limited dynamic interactions in simulated environments.
Innovation Solution
A system that captures a user's physical and mental attributes using visual, voice, and data input devices, processing this information to create a digital virtual clone that can interact and adapt within simulated environments, mirroring the user's personality and emotional states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional virtual cloning technology is used, then the system structure is simple, but the clone lacks learning ability and dynamic interaction capability
Solution Approach 1:
The system segments the virtual clone into multiple independent modules: visual attribute capture module, voice attribute capture module, mental attribute capture module, processing module, and rendering module. Each module handles specific functions, allowing the complex system to be managed through modular components that can be developed and optimized independently while collectively providing learning ability and dynamic interaction.
Solution Approach 2:
The system performs preliminary action by capturing and storing visual attributes, voice attributes, and mental attributes before the simulation begins. This pre-processing of user data enables the virtual clone to inherit personality traits and behavioral patterns in advance, providing learning ability without requiring complex real-time processing during simulation execution.
2Reliability
If traditional virtual cloning technology is used, then the processing speed is fast, but the interaction lacks emotional depth and realism
Solution Approach 1:
The system captures visual attributes, voice attributes, and mental attributes in advance before simulation execution. This pre-processing enables the virtual clone to have pre-defined personality traits and emotional responses, ensuring interaction realism without requiring complex real-time computation during simulation.
Solution Approach 2:
The system creates copies of the user's attributes (visual copy, voice copy, mental state copy) that can be processed and rendered efficiently. By working with attribute copies rather than real-time sensor data, the system maintains interaction realism while reducing processing time demands during simulation execution.
3Adaptability or versatility
If a digital virtual clone with learning ability is created, then user engagement is enhanced, but the data processing complexity increases
Solution Approach 1:
The data processing is segmented into distinct modules: visual attribute processing, voice attribute processing, and mental attribute processing. Each module handles specific data types with specialized algorithms, reducing overall processing complexity while enabling dynamic interaction capability through the integration of processed attributes in the virtual clone.
Solution Approach 2:
The system introduces an intermediary processing module that transforms raw captured attributes into structured data formats suitable for simulation. This intermediary layer simplifies the complexity by standardizing data representation and providing a clear interface between capture devices and simulation engine, enabling dynamic interaction without overwhelming processing complexity.
Data Source
AI summary
A system and a method includes a first computing system interacting with a user and at least capturing physical and mental attributes of the user. The first computing system processes, formats, and organizes captured information of the user to provide organized user information. The first computing system designs a virtual clone of the user using the organized user information and produces a digital virtual clone of the user. A storage device stores the organized user information. A second computing system generates and displays a simulated environment. The second computing system transfers the organized user information, integrates the organized user information, and displays the digital virtual clone of the user in the simulated environment, wherein the digital virtual clone interacts with the stimulated environment.


