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- W2000537113 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." @default.
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- W2000537113 date "2012-03-28" @default.
- W2000537113 modified "2023-09-23" @default.
- W2000537113 title "Eye-based head gestures" @default.
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- W2000537113 doi "https://doi.org/10.1145/2168556.2168578" @default.
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