AI-Driven 3D Content Adaptation for XR Interaction
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Solution Overview
Problem
Current technologies face challenges in generating and displaying interactive 3D content that adapts to a user's physical ability or cognitive ability, particularly in head-mounted XR or holographic AR terminals.
Innovation Solution
A method involving sensors to collect data on a user's body movements, an AI model to determine content difficulty levels matching the user's abilities, and a system to preprocess and display customized 3D content in real-time on a head-mounted display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If 3D content is generated and displayed in real-time on head-mounted XR terminals, then immersive interaction experience is improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-processing 3D content data, generating depth maps, and preparing holographic data before real-time display. The AI model pre-analyzes user movement characteristics and predicts appropriate content difficulty levels, reducing computational burden during actual real-time interaction.
Solution Approach 2:
The patent replaces traditional mechanical processing methods with AI-based computational approaches. The AI model analyzes user movement data and automatically adjusts content parameters, substituting complex real-time mechanical processing with intelligent algorithms that reduce overall processing time while maintaining interaction quality.
2Adaptability or versatility
If customized content is generated according to user's physical ability and movement characteristics, then content adaptability is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system achieves content customization by dynamically changing parameters such as content difficulty level, interaction complexity, and display characteristics based on user movement characteristics. The AI model adjusts these parameters automatically without requiring complex system reconfiguration, thereby improving adaptability while controlling device complexity.
Solution Approach 2:
The system performs self-service by automatically analyzing user movement data from sensors and autonomously determining appropriate content difficulty levels. The AI model self-adjusts content parameters based on real-time user characteristics without requiring manual intervention or complex external processing systems.
3Adaptability or versatility
If sensors and AI models are integrated for real-time user analysis, then content personalization is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent merges sensor data acquisition, AI-based user analysis, and content parameter adjustment into an integrated system. By combining these functions into a unified processing framework, the system achieves comprehensive content personalization while avoiding the complexity of separate independent systems through coordinated integration.
Data Source
AI summary
A method and device for generating and displaying interactive 3D content are disclosed. According to one embodiment of the present disclosure, a method of generating and displaying interactive 3D content performed by a device may include receiving sensing data on a user's body from at least one sensor attached to the user's body; obtaining feature data related to the user's body and movement based on the sensing data; obtaining a content level or difficulty matching the user by inputting feature data and 3D (dimension) content into an artificial intelligence (AI) model; setting a level or difficulty of the 3D content according to the obtained content level or difficulty; and uploading the 3D content to a display terminal worn by the user.