VR Head Tracking via Celestial Particle Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional approaches to head tracking in virtual reality content presentation require numerous calculations, degrading the user experience due to the need for evaluating vast amounts of sensor data, and are not effective in accurately predicting user attention within immersive video streams.
Innovation Solution
The use of physics-based models, such as landscape and celestial representations, to predict user focal points by simulating particle movement based on heat map data and audio-based points of interest, optimizing resource usage and improving prediction speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional head tracking approaches are used to evaluate sensor data, then head tracking functionality is achieved, but calculation complexity increases and prediction accuracy deteriorates
Solution Approach 1:
The patent creates simplified 2D landscape representations and 3D celestial representations that copy the essential spatial relationships of the VR environment. These representations use heat map data and audio point data to create simplified models where particles can move according to basic physics principles, avoiding complex sensor data evaluation while maintaining prediction accuracy
Solution Approach 2:
The patent replaces complex computational algorithms with physics-based particle simulations. Instead of evaluating vast amounts of sensor data through complex calculations, the system uses particles that move according to simplified gravitational and inertial forces within the landscape/celestial representations, significantly reducing computational complexity
2Productivity
If conventional head tracking approaches are used to evaluate vast amounts of sensor data, then head tracking is performed, but processing time increases and user experience deteriorates
Solution Approach 1:
The patent extracts only the essential information needed for head tracking prediction from the VR content - specifically heat map data indicating user attention regions and audio point data indicating sound sources. By taking out only these critical elements and representing them in simplified landscape/celestial models, the system avoids processing vast amounts of unnecessary sensor data, dramatically reducing processing time
Solution Approach 2:
The patent segments the complex VR environment into discrete, manageable components: heat map regions are divided into landscape features (peaks, valleys, plains), and audio points become celestial objects. This segmentation allows independent particle simulations for each region, improving processing efficiency through parallel computation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the speed and accuracy of head tracking predictions, improving the user experience by effectively determining where user attention is drawn within virtual reality content, even with complex video streams.
Implementation Method 1
The simulation involves applying a simulated gravitational force to the particle
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can determine a first position corresponding to a user focal point during presentation of a given scene of a content item. A celestial representation of the given scene is determined. The celestial representation identifies one or more audio-based points of interest in the scene. A second position corresponding to the user focal point is determined based at least in part on the celestial representation and the first position. The second position is predicted to be the position of the user focal point during presentation of the scene.