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Estimation of glance from EEG for cursor control.

Tele Tan, Jan Philipp Hakenberg, Cuntai Guan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary

    This study introduces a new algorithm using electroencephalography (EEG) to estimate eye glance for controlling applications. This method offers a comfortable and sustainable alternative to electrooculography (EOG) based systems.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Human-Computer Interaction

    Background:

    • Electrooculography (EOG) traditionally tracks eye movements for device control.
    • EOG systems often require high-pass filters, limiting control to blinks and rapid movements, which can be tiring.
    • Existing EOG methods struggle with drift compensation and user fatigue.

    Purpose of the Study:

    • To develop and evaluate an algorithm for estimating instantaneous eye glance using electroencephalography (EEG) signals.
    • To enable comfortable, extended control of computer applications via eye glance without fatiguing repetitive gestures.
    • To provide an alternative to EOG-based control systems that avoids high-pass filtering and associated limitations.

    Main Methods:

    • An algorithm was developed to estimate instantaneous glance angles from EEG signals.
    • Subjects controlled a computer application using their eye glance while seated in front of a monitor.
    • Outlier detection was employed to compensate for estimation errors within the limited visual field of the monitor.

    Main Results:

    • The algorithm accurately estimates instantaneous glance from EEG signals.
    • The developed system allows for comfortable, extended control of applications through natural eye movements.
    • Experimental evaluation with 12 volunteers and video recordings confirmed the algorithm's accuracy.

    Conclusions:

    • EEG-based eye glance estimation provides a viable and comfortable alternative to EOG control.
    • The proposed method eliminates the need for high-pass filtering, allowing for more natural and sustainable user interaction.
    • This technology has the potential to enhance accessibility and usability in human-computer interaction.