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  4. Natural Activation for Gesture Recognition Systems
 
conference paper

Natural Activation for Gesture Recognition Systems

Hopmann, Mathieu  
•
Salamin, Patrick  
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Chauvin, Nicolas
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2011
Proceedings of the international conference extended abstracts on Human factors in computing systems
ACM CHI Conference on Human Factors in Computing Systems

Gesture recognition is becoming a popular way of interaction, but still suffers of important drawbacks to be integrated in everyday life devices. One of these drawbacks is the activation of the recognition system – trigger gesture - which is generally tiring and unnatural. In this paper, we propose two natural solutions to easily activate the gesture interaction. The first one requires a single action from the user: grasping a remote control to start interacting. The second one is completely transparent for the user: the gesture system is only activated when the user’s gaze points to the screen, i.e. when s/he is looking at it. Our first evaluation with the 2 proposed solutions plus a default implementation suggests that the gaze estimation activation is efficient enough to remove the need of a trigger gesture in order to activate the recognition system.

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