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  4. Natural Activation for Gesture Recognition Systems
 
conference paper

Natural Activation for Gesture Recognition Systems

Hopmann, Mathieu  
•
Salamin, Patrick  
•
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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Type
conference paper
DOI
10.1145/1979742.1979642
Author(s)
Hopmann, Mathieu  
Salamin, Patrick  
Chauvin, Nicolas
Vexo, Frédéric  
Thalmann, Daniel  
Date Issued

2011

Published in
Proceedings of the international conference extended abstracts on Human factors in computing systems
ISBN of the book

978-1-4503-0268-5/11/05

Start page

173

End page

183

Subjects

Human-Computer Interface

•

Hand Gesture

URL

URL

http://www.youtube.com/watch?v=IYztvSjA3vM
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
VRLAB  
Event nameEvent placeEvent date
ACM CHI Conference on Human Factors in Computing Systems

Vancouver, BC, Canada

May 7-12, 2011

Available on Infoscience
April 13, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/66398
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