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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Jaume-i-Capó, A., Varona, J., Perales, F.J. (2009). Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time. In: Sales Dias, M., Gibet, S., Wanderley, M.M., Bastos, R. (eds) Gesture-Based Human-Computer Interaction and Simulation. GW 2007. Lecture Notes in Computer Science(), vol 5085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92865-2_10
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DOI: https://doi.org/10.1007/978-3-540-92865-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92864-5
Online ISBN: 978-3-540-92865-2
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