Head Motion Prediction for Spatial Audio Latency
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Solution Overview
Problem
Existing spatial audio platforms face challenges in maintaining a centered 3D virtual auditory space when the source device and headset are free to move relative to each other, leading to perception issues due to latency and synchronization delays in wireless communication.
Innovation Solution
The method involves obtaining motion data from both the source device and headset, estimating relative motion, calculating derivatives, and forward predicting this motion to account for communication delays, allowing for accurate head pose tracking and rendering of spatial audio that remains centered on a boresight vector, regardless of user or device posture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If motion data is transmitted wirelessly between source device and headset, then device mobility and ease of operation are improved, but transmission delays and synchronization accuracy deteriorate
Solution Approach 1:
The system performs preliminary actions by calculating derivatives (velocity and acceleration) from motion data and using these to predict future head pose positions before the actual audio rendering occurs. This predictive approach compensates for the inherent wireless transmission delays by proactively estimating where the headset will be when the audio is played back.
Solution Approach 2:
The system dynamically adjusts the audio rendering based on predicted head motion by continuously calculating motion derivatives and updating the virtual auditory space orientation in real-time. This allows the spatial audio to adapt dynamically to headset movement while accounting for transmission latency through predictive modeling.
2Measurement precision
If head pose tracking is performed in real-time, then audio synchronization accuracy is improved, but latency in wireless communication causes perception issues
Solution Approach 1:
The system performs preliminary calculations of motion derivatives (first derivative for velocity, second derivative for acceleration) and uses these to predict future head pose positions before audio rendering. This advance prediction ensures that the spatial audio is pre-adjusted to match the anticipated head position, compensating for processing and transmission delays.
Solution Approach 2:
The system continuously receives motion data from the headset, calculates prediction errors between predicted and actual positions, and uses this feedback to refine subsequent predictions. This closed-loop approach maintains accurate spatial audio alignment despite variations in wireless transmission timing.
3Stability of the object's composition
If spatial audio is centered on boresight vector, then virtual auditory space consistency is improved, but device movement relative to headset causes misalignment
Solution Approach 1:
The system dynamically reorients the virtual auditory space to track the boresight vector between source device and headset by continuously processing motion data and calculating predicted positions. This dynamic adjustment maintains the centered spatial audio experience even as the relative positioning between devices changes during user movement.
Data Source
AI summary
Embodiments are disclosed for head motion prediction for spatial audio applications. In an embodiment, a method comprises: obtaining motion data from a source device and a headset; obtaining transmission delays from a wireless stack of the source; estimating relative motion from the relative source device and headset motion data; calculating a first derivative of the relative motion data; forward predicting the estimated relative motion over the time delays using the first derivative and second derivative of relative motion; determining, using a head tracker, a head pose of the user based on the forward predicted relative motion data; and rendering, using the head pose, spatial audio for playback on the headset.