Natural activation for gesture recognition systems

Authors:
Mathieu Hopmann;Patrick Salamin;Nicolas Chauvin;Frédéric Vexo;Daniel Thalmann
Affiliations:
EPFL, Lausanne, Switzerland;Logitech, Lausanne, Switzerland;Logitech, Lausanne, Switzerland;Logitech, Lausanne, Switzerland;EPFL, Lausanne, Switzerland
Venue:
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Year:
2011

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Abstract

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.