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Mobile gaze tracking system for outdoor walking behavioral studies.

Matteo Tomasi, Shrinivas Pundlik, Alex R Bowers

    Journal of Vision
    |February 20, 2016
    PubMed
    Summary

    This study introduces a novel method for outdoor gaze tracking during walking using an eye tracker and inertial measurement units (IMUs). The system accurately measures gaze direction in real-world environments, overcoming previous limitations.

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    Area of Science:

    • Human-Computer Interaction
    • Biomedical Engineering
    • Computer Vision

    Background:

    • Gaze tracking typically focuses on static environments like screens or images.
    • Tracking gaze in open-world, dynamic settings like outdoor walking remains a significant challenge.
    • Existing methods lack the precision and adaptability required for real-world mobile scenarios.

    Purpose of the Study:

    • To develop and validate a novel system for accurate gaze tracking in outdoor walking conditions.
    • To enable the study of gaze behavior in natural, unconstrained environments.
    • To overcome limitations of existing gaze tracking technologies in dynamic, open-world settings.

    Main Methods:

    • Utilized a head-mounted eye tracker integrated with two inertial measurement units (IMUs).
    • Measured head movements relative to the body trunk using differential IMU data.
    • Implemented drift compensation algorithms for extended gaze recording sessions (up to 18 minutes).

    Main Results:

    • Achieved an average error of 3.3° during straight walking segments when compared to ground truth.
    • Demonstrated that the gaze scanning range in walking typically exceeds the estimation error by an order of magnitude.
    • Successfully validated the system's suitability for natural walking scenarios in busy urban environments.

    Conclusions:

    • The proposed system offers a robust solution for outdoor gaze tracking during locomotion.
    • This technology facilitates novel research into human visual attention and behavior in real-world settings.
    • The method provides a significant advancement for understanding gaze dynamics in unconstrained outdoor environments.