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Event-Based Near-Eye Gaze Tracking Beyond 10,000 Hz.

Anastasios N Angelopoulos, Julien N P Martel, Amit P Kohli

    IEEE Transactions on Visualization and Computer Graphics
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    This study introduces a novel hybrid frame-event gaze tracking system achieving over 10,000 Hz update rates. This breakthrough enables high-speed mobile eye tracking for virtual reality applications.

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    Area of Science:

    • Computer Vision
    • Human-Computer Interaction
    • Biomedical Engineering

    Background:

    • Modern gaze-tracking systems face bandwidth and power limitations, restricting data acquisition to ~300 Hz.
    • This speed limit hinders real-time applications like predictive rendering and studying subtle eye movements (microsaccades) in mobile or head-mounted devices.

    Purpose of the Study:

    • To develop a hybrid frame-event-based near-eye gaze tracking system with significantly higher update rates.
    • To achieve accuracy comparable to high-end commercial trackers for mobile and in-the-wild applications.

    Main Methods:

    • Utilized emerging event cameras for simultaneous frame and event data acquisition.
    • Developed an online 2D pupil fitting method updating a parametric model based on events.
    • Implemented a polynomial regressor for real-time point-of-gaze estimation from the pupil model.

    Main Results:

    • Achieved system update rates exceeding 10,000 Hz.
    • Demonstrated accuracy of 0.45°-1.75° across fields of view from 45° to 98°.
    • Validated performance against high-end commercial trackers under identical conditions.

    Conclusions:

    • The proposed system overcomes limitations of conventional gaze trackers.
    • Enables ultra-low-latency gaze-contingent rendering and display for virtual and augmented reality.
    • Paves the way for a new generation of advanced eye-tracking applications.