Virtual Obstacle Manipulation for Personalized VR Viewing
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Solution Overview
Problem
Obstacles within virtual environments can obstruct users' views, preventing them from enjoying personalized perspectives on live events and inhibiting full immersion in the virtual environment.
Innovation Solution
A system and method for virtual environment-based obstacle manipulation using artificial intelligence mechanisms to detect, annotate, and classify obstacles, allowing users to manipulate them within streaming media content, optimizing user perspectives and providing unobstructed views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If obstacles are present in the virtual environment, then the virtual environment maintains realistic physical elements, but user viewing is obstructed and immersion is reduced
Solution Approach 1:
The system dynamically adjusts the virtual environment by detecting obstacles and automatically repositioning or removing them based on user viewing needs. This dynamic modification allows the environment to maintain realism when needed while eliminating obstructions to improve user viewing quality, resolving the contradiction between environmental authenticity and viewing accessibility.
2Adaptability or versatility
If the virtual environment provides personalized perspectives, then user immersion is enhanced, but obstacles can block specific user views
Solution Approach 1:
The system implements feedback mechanisms by analyzing sensor data to detect user perspectives and identifying obstacles that block personalized views. Based on this feedback, the system automatically manipulates the virtual environment to remove or reposition obstacles, ensuring that personalized viewing perspectives remain unobstructed and user immersion is maintained.
3Ease of operation
If the system manipulates obstacles in real-time, then user viewing is optimized, but computational resources and data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing sensor data and pre-identifying potential obstacles that may affect user viewing. By preparing obstacle detection and classification in advance, the system reduces the computational burden during real-time viewing optimization, balancing enhanced user experience with manageable system complexity.
Data Source
AI summary
Techniques are described with respect to a system, method, and computer program product for virtual environment-based obstacle manipulation. An associated method includes receiving a stream of media data associated with a virtual environment; analyzing a plurality of sensor data associated with a user of the virtual environment; detecting one or more obstacles associated with the virtual environment; and optimizing the stream of media data, the optimizing comprising manipulation of the one or more obstacles based on the analysis of the plurality of sensor data.


