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Head Tracking for Confirming User Selection for Human-Machine Interaction.

Zeyad Ghulam, Greg French, Hussein A Abdullah

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |July 11, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a head-controlled interface for individuals with upper-limb impairments, enabling screen selection without hand use. Participants demonstrated improved accuracy and control over time, highlighting potential for accessible human-machine interaction.

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    Area of Science:

    • Human-Computer Interaction
    • Assistive Technology
    • Rehabilitation Engineering

    Background:

    • Individuals with upper-limb impairments often face challenges with traditional computer interfaces.
    • Existing assistive technologies may have limitations in intuitiveness or accessibility.

    Purpose of the Study:

    • To present a novel human-machine interface (HMI) controlled by head movements.
    • To evaluate the performance and user experience of this HMI for individuals with upper-limb impairments.
    • To assess the learning curve and adaptability of users with the head-controlled interface.

    Main Methods:

    • Developed an HMI system for screen item selection using only head movements.
    • Conducted a study with 22 participants evaluating the system across three configurations.
    • Measured performance metrics including accuracy, consistency, and movement control (pitch, yaw).
    • Collected user feedback through surveys on safety, comfort, and ease of use.

    Main Results:

    • Participants showed a significant learning curve, with improved accuracy and consistency over time.
    • User movements (mouth-opening, head-transition, pitch, yaw) became more controlled and efficient.
    • High confidence in system safety was reported, with suggestions for enhancing comfort and usability.

    Conclusions:

    • The head-controlled HMI demonstrates potential as an accessible and intuitive assistive technology.
    • The system facilitates screen selection for individuals with upper-limb impairments without requiring hand input.
    • Further refinements can optimize user experience and expand the application of this technology.