Frame Displacement Tracking for Accurate Headset Eye Tracking
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Solution Overview
Problem
Eye tracking systems in head-mounted devices suffer from inaccuracies due to noise introduced by frame slippage and displacement, which are not effectively addressed by current technologies.
Innovation Solution
Implement a frame tracking system using position sensors and processing logic to determine the displacement of the head-mounted device frame relative to the user's head, integrating low-power and high-speed sensors such as IMUs and optic flow, to provide displacement data to the eye tracking system, thereby disambiguating eye movement from frame movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If eye tracking is performed in head-mounted devices, then user interaction capability is improved, but measurement precision deteriorates due to noise from frame slippage and displacement
Solution Approach 1:
The patent introduces frame displacement sensors as an intermediary component that measures frame movement separately. This intermediary measurement allows the system to distinguish between actual eye movement and frame-induced movement, thereby resolving the measurement precision issue while preserving eye tracking functionality
Solution Approach 2:
The system implements feedback by using measured frame displacement data to compensate for frame-induced noise in eye tracking measurements. The displacement information feeds back into the eye tracking algorithm to correct accuracy errors, maintaining both adaptability and precision
2Measurement precision
If frame tracking system with multiple sensors is implemented, then eye tracking accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the same sensor system for both frame tracking and eye tracking purposes. The sensors serve dual functions: monitoring frame displacement and providing data for eye orientation estimation, thereby improving accuracy without proportionally increasing complexity
Solution Approach 2:
The system merges frame tracking and eye tracking functions into a unified processing framework. By combining the measurement data from both functions and processing them together, the system achieves improved eye tracking accuracy while avoiding the complexity of completely separate systems
Data Source
AI summary
A frame tracking system includes a position sensor, a reference sensor, and processing logic. The position sensor is coupled to a head-mounted device frame and configured to detect displacement of the head-mounted device frame. The reference sensor is configured to generate reference data relative to a head of a user. The processing logic is configured to determine the relative displacement of the head-mounted device frame from the user using the data from the position sensor and the reference sensor.