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A.Eye Drive: Gaze-based semi-autonomous wheelchair interface.

Mahendran Subramanian, Noyan Songur, Darrell Adjei

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary

    New "Zero UI" wheelchair technology allows paralyzed individuals to navigate by eye gaze. This system uses eye-tracking and autonomous navigation, reducing cognitive load and increasing independence for users.

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    Area of Science:

    • Rehabilitation Engineering
    • Human-Computer Interaction
    • Robotics

    Background:

    • Existing wheelchair control systems (e.g., sip & puff, gaze-controlled cursors) impose high cognitive loads.
    • Continuous interface interaction hinders user engagement with their environment during navigation.

    Purpose of the Study:

    • To develop an intuitive wheelchair control system for individuals with severe disabilities.
    • To enhance user independence and reduce cognitive burden during mobility.

    Main Methods:

    • Integration of eye-tracking with gaze-contingent intention decoding.
    • Application of computer vision for context-aware obstacle detection and avoidance.
    • Utilizing autonomous navigation algorithms inspired by self-driving vehicles.

    Main Results:

    • The developed
    • A.Eye Drive
    • " platform enables users to control wheelchairs via natural eye gaze.", "The system autonomously navigates to the user's intended destination while dynamically updating paths to avoid obstacles.
    • Demonstrated a significant reduction in cognitive load compared to traditional interfaces.

    Conclusions:

    • Eye-tracking and autonomous navigation offer a promising
    • Zero UI
    • solution for wheelchair control.
    • This technology has the potential to greatly enhance independence and agency for users with paralysis.