Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time

Authors:
Antoni Jaume-I-Capó;Javier Varona;Francisco J. Perales
Affiliations:
Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears,;Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears,;Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears,
Venue:
Gesture-Based Human-Computer Interaction and Simulation
Year:
2009

Citing 3
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Abstract

Using computer vision to sense and perceive the user and his/her actions in a Human-Computer Interaction context is often referred to as Vision-Based Interfaces. In this paper, we present a Vision-Based Interface guided by the user gestures. Previously to recognition, the user's movements are obtained through a real-time vision-based motion capture system. This motion capture system is capable to estimate the user 3D body joints position in real-time. By means of an appropriate representation of limbs orientations based on temporal histograms, we present a scheme of gesture recognition that also works in real-time. This scheme of recognition has been tested through control of a classical computer videogame showing an excellent performance in on-line classification and it allows the possibility to achieve a learning phase in real-time due to its computational simplicity.