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Coordination Number and Geometry02:57

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Related Experiment Video

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Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
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SGaze: A Data-Driven Eye-Head Coordination Model for Realtime Gaze Prediction.

Zhiming Hu, Congyi Zhang, Sheng Li

    IEEE Transactions on Visualization and Computer Graphics
    |February 23, 2019
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    Summary

    This study introduces SGaze, a novel software-based model for real-time gaze prediction in head-mounted displays. It uses head movement data to predict eye movements without needing extra hardware, improving immersive experiences.

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    Area of Science:

    • Computer Vision
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Immersive applications like head-mounted displays (HMDs) require accurate gaze tracking.
    • Current gaze prediction methods often rely on external hardware or eye trackers, limiting accessibility and real-time performance.

    Purpose of the Study:

    • To develop a novel, data-driven eye-head coordination model (SGaze) for real-time gaze prediction in HMD applications.
    • To enable gaze prediction without external hardware, enhancing the usability of immersive technologies.

    Main Methods:

    • Generated a large dataset of users navigating virtual worlds under varied lighting conditions.
    • Performed statistical analysis to identify correlations between gaze position and head rotation angular velocity.
    • Formulated a time-dependent function modeling the latency between eye and head movements for prediction.

    Main Results:

    • Observed a linear correlation between gaze positions and head rotation angular velocities.
    • Identified a significant latency between eye and head movements.
    • Demonstrated SGaze's capability as a software-based real-time gaze predictor.

    Conclusions:

    • SGaze effectively predicts gaze in real-time for HMDs using only head movement data.
    • The model's findings on eye-head coordination and latency can optimize gaze-contingent rendering.
    • User study validated the benefits of SGaze for enhanced immersive application performance.