Audio-Based Motion Prediction for HMD Latency Reduction
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Solution Overview
Problem
Existing head-mountable display (HMD) systems face challenges in providing high-quality, immersive experiences due to limitations in image content generation, such as resolution, texture quality, and latency, which are often addressed by techniques like foveal rendering that require additional equipment like gaze tracking cameras.
Innovation Solution
A system and method for localizing and optionally identifying sounds within the environment of an HMD user, which involves capturing audio, determining sound source locations, and predicting user head motion based on sound characteristics and user preferences, thereby optimizing content generation and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution image content is provided to preserve user immersion, then image quality is improved, but rendering latency increases
Solution Approach 1:
The system predicts future head motion based on current audio and visual attention, then pre-loads and pre-processes image content for the predicted viewpoint before the user actually moves. This preliminary action allows high-resolution content to be ready in advance, maintaining both image quality and low latency.
Solution Approach 2:
The system dynamically adjusts the field of view and image resolution based on predicted user attention and motion. Instead of rendering the entire high-resolution scene, it focuses computational resources on the predicted area of interest, dynamically optimizing the balance between image quality and rendering speed.
2Manufacturing precision
If foveal rendering techniques are used to improve image quality, then texture quality is enhanced, but device complexity increases due to required gaze tracking equipment
Solution Approach 1:
The system uses audio attention as an intermediary to infer visual attention and head motion predictions. Instead of requiring complex gaze tracking cameras, it uses audio processing (which is already present in HMDs for spatial audio) to determine where the user is likely to look, thereby inferring the foveal region without additional hardware.
Solution Approach 2:
The system replaces the mechanical/optical gaze tracking system with an acoustic-based attention detection system. By analyzing audio spatial attention and sound source localization, it substitutes the need for physical eye-tracking cameras with audio processing algorithms, reducing device complexity while maintaining foveal rendering capabilities.
3Speed
If the field of view is reduced to improve rendering speed, then latency is reduced, but image immersion quality deteriorates
Solution Approach 1:
The system pre-loads high-resolution image content for the predicted field of view based on audio and visual attention analysis. By preparing content in advance for the area the user is likely to look at, it can maintain a wider effective field of view with high immersion quality while keeping actual rendering latency low through selective pre-processing.
Data Source
AI summary
A system for obtaining content for display to a user of a head-mountable display device, HMD, the system comprising one or more audio detection units operable to capture audio in the environment of the user, a motion prediction unit operable to predict motion of the HMD in dependence upon the captured audio, and a content obtaining unit operable to obtain content for display in dependence upon the predicted motion of the HMD.