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A geometric method for computing ocular kinematics and classifying gaze events using monocular remote eye tracking in
Tarkeshwar Singh1, Christopher M Perry2, Troy M Herter3
1Department of Exercise Science, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC-29208, USA. tarkeshwar.singh@gmail.com.
Journal of Neuroengineering and Rehabilitation
|January 28, 2016
Summary
This study introduces a new geometrical method for accurately tracking eye movements in robotic and virtual reality systems. The method reliably differentiates fixations, saccades, and smooth pursuits in the transverse plane, enhancing visuomotor rehabilitation research.
Area of Science:
- Neuroscience
- Rehabilitation Engineering
- Human-Computer Interaction
Background:
- Robotic and virtual-reality systems are key for upper extremity neurological disorder assessment and rehabilitation.
- Integrating eye tracking with these systems aids in understanding cognitive influences on visuomotor learning.
- Existing eye trackers assume planar eye movements, failing with variable-depth stimuli in the transverse plane.
Purpose of the Study:
- To develop a geometrical method for computing ocular kinematics from monocular remote eye tracking in the transverse plane.
- To establish velocity-based thresholds for accurate identification of gaze events (fixations, smooth pursuits, saccades).
- To validate the new algorithm against existing eye-tracking software and manual digitization.
Main Methods:
- A novel geometrical method was developed to compute ocular kinematics for monocular remote eye tracking.
- Velocity-based thresholds were derived from computed kinematics to classify gaze events.
- Algorithm performance was validated by comparing its output to established methods and manual analysis.
Main Results:
- The algorithm accurately differentiates saccades from fixations with static visual stimuli.
- It reliably distinguishes smooth pursuits from saccades and fixations with dynamic visual stimuli within the transverse plane.
Conclusions:
- The proposed method advances the analysis of eye movements in robotic and virtual-reality systems.
- These advancements are applicable to video-based and tablet-based systems involving peripersonal space with variable depth.
