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Fixation precision in high-speed noncontact eye-gaze tracking
Craig Hennessey1, Borna Noureddin, Peter Lawrence
1University of British Columbia, Vancouver, BC, Canada.
Summary
Improving eye-gaze tracking precision is crucial for real-time applications. This study enhances point-of-gaze (POG) fixation precision using high-speed sampling and filtering, significantly boosting accuracy for POG estimation methods.
Area of Science:
- Human-Computer Interaction
- Computer Vision
- Biomedical Engineering
Background:
- Usability of noncontact eye-gaze tracking systems relies on precise point-of-gaze (POG) estimation during fixations.
- Real-time applications demand high accuracy in POG estimation.
Purpose of the Study:
- To define and measure POG fixation precision.
- To propose and evaluate methods for enhancing fixation precision.
- To assess improvements in POG estimation approaches using developed techniques.
Main Methods:
- Developed high-speed image processing techniques for POG sampling rates exceeding 400 Hz.
- Implemented digital filtering to improve fixation precision while maintaining real-time latency.
- Applied methods to high-speed pupil-corneal reflection (HS P-CR) vector and 3-D model-based POG estimation methods.
Main Results:
- Fixation precision for HS P-CR method improved 5.8x to 0.035 degrees at 407 fps with filtering, compared to unfiltered 30 fps operation.
- Fixation precision for the 3-D POG method improved 11x to 0.050 degrees at 407 fps with filtering, compared to unfiltered 30 fps operation.
- Significant improvements in POG fixation precision were demonstrated for both tested methods.
Conclusions:
- High-speed sampling combined with digital filtering effectively enhances POG fixation precision.
- The developed techniques offer substantial improvements for real-time eye-gaze tracking applications.
- This research contributes to more usable and accurate noncontact eye-gaze tracking systems.
