Eye-based head gestures

Diako Mardanbegi, Dan Witzner Hansen, Thomas Pederson

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

    Abstract

    A novel method for video-based head gesture recognition using eye information by an eye tracker has been proposed. The method uses a combination of gaze and eye movement to infer head gestures. Compared to other gesture-based methods a major advantage of the method is that the user keeps the gaze on the interaction object while interacting. This method has been implemented on a head-mounted eye tracker for detecting a set of predefined head gestures. The accuracy of the gesture classifier is evaluated and verified for gaze-based interaction in applications intended for both large public displays and small mobile phone screens. The user study shows that the method detects a set of defined gestures reliably.
    OriginalsprogEngelsk
    TitelETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications
    Antal sider7
    ForlagAssociation for Computing Machinery
    Publikationsdato2012
    Sider139-146
    ISBN (Trykt)978-1-4503-1221-9
    DOI
    StatusUdgivet - 2012
    BegivenhedSymposium: Eye Tracking Research & Applications: http://www.etra2012.org/ - Santa Barbara, CA, USA
    Varighed: 28 mar. 201230 mar. 2012
    Konferencens nummer: 7
    http://www.etra2012.org/

    Konference

    KonferenceSymposium: Eye Tracking Research & Applications
    Nummer7
    Land/OmrådeUSA
    BySanta Barbara, CA
    Periode28/03/201230/03/2012
    Internetadresse

    Emneord

    • Head Gesture Recognition
    • Eye Tracker
    • Gaze Interaction
    • Head-Mounted Devices
    • Gesture Classifier

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