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Hand-eye coordination-based implicit re-calibration method for gaze tracking on ultrasound machines: a statistical
Hongzhi Zhu1, Robert N Rohling2,3, Septimiu E Salcudean2
1School of Biomedical Engineering, University of British Columbia, Vancouver, Canada. hzhu@ece.ubc.ca.
Summary
This study introduces an implicit re-calibration method to fix eye gaze tracking accuracy decline in user interfaces. The technique uses hand-eye coordination to recalibrate without user attention, improving usability in applications like ultrasound machines.
Area of Science:
- Biomedical Engineering
- Human-Computer Interaction
- Computer Vision
Background:
- Eye gaze tracking is valuable in biomedical applications.
- Accuracy of gaze tracking systems degrades over time, limiting their use.
- Current re-calibration methods require user attention and are time-consuming.
Purpose of the Study:
- To develop an implicit re-calibration method for gaze tracking systems.
- To address the cumulative accuracy deterioration with usage time.
- To improve the practicality of gaze tracking in user interfaces.
Main Methods:
- Proposed an implicit re-calibration method using hand-eye coordination.
- Assumed eye gaze follows the pointer during selection tasks for calibration points.
- Utilized a statistical model and Gaussian process regression for re-calibration.
Main Results:
- The method rectified accuracy deterioration in a significant portion of cases during ultrasonography tasks.
- Tracking accuracy was restored to initial levels in over [Formula: see text] of cases on a benchmark dataset.
- Demonstrated effectiveness in a user study on gaze-contingent ultrasound interfaces.
Conclusions:
- The implicit re-calibration method offers a practical solution for gaze tracking accuracy issues.
- This method enhances the usability of gaze-contingent interfaces, especially in medical settings.
- The approach avoids user interruption, making it convenient for continuous use.
