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Scale detection for a priori gesture recognition

Caroline Appert 1, 2 Olivier Bau 1 
1 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Gesture-based interfaces provide expert users with an efficient form of interaction but they require a learning effort for novice users. To address this problem, some on-line guiding techniques display all available gestures in response to partial input. However, partial input recognition algorithms are scale dependent while most gesture recognizers support scale independence (i.e., the same shape at different scales actually invokes the same command). We propose an algorithm for estimating the scale of any partial input in the context of a gesture recognition system and illustrate how it can be used to improve users' experience with gesture-based systems.
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Submitted on : Tuesday, November 23, 2010 - 12:07:17 PM
Last modification on : Sunday, June 26, 2022 - 11:52:38 AM
Long-term archiving on: : Friday, October 26, 2012 - 4:25:21 PM


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Caroline Appert, Olivier Bau. Scale detection for a priori gesture recognition. iInternational conference on Human factors in computing systems, 2010, Atlanta, United States. pp.879-882, ⟨10.1145/1753326.1753456⟩. ⟨inria-00538339⟩



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