Eye-based head gestures

Diako Mardanbegi, Dan Witzner Hansen, Thomas Pederson

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-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.
    Original languageEnglish
    Title of host publicationETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications
    Number of pages7
    PublisherAssociation for Computing Machinery
    Publication date2012
    Pages139-146
    ISBN (Print)978-1-4503-1221-9
    DOIs
    Publication statusPublished - 2012
    EventSymposium: Eye Tracking Research & Applications: http://www.etra2012.org/ - Santa Barbara, CA, United States
    Duration: 28 Mar 201230 Mar 2012
    Conference number: 7
    http://www.etra2012.org/

    Conference

    ConferenceSymposium: Eye Tracking Research & Applications
    Number7
    Country/TerritoryUnited States
    CitySanta Barbara, CA
    Period28/03/201230/03/2012
    Internet address

    Keywords

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

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