Eye-based head gestures

Diako Mardanbegi, Dan Witzner Hansen, Thomas Pederson

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


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
ISBN (Print)978-1-4503-1221-9
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


ConferenceSymposium: Eye Tracking Research & Applications
Country/TerritoryUnited States
CitySanta Barbara, CA
Internet address


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


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