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Gesture Analysis: Invariant Laws in Movement

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Gesture-Based Communication in Human-Computer Interaction (GW 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2915))

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Abstract

This paper presents gesture analysis under the scope of motor control theory. Following the motor program view, some studies have revealed a number of invariant features that characterize movement trajectories in human hand-arm gestures. These features express general spatio-temporal laws underlying coordination and motor control processes. Some typical invariants are described and illustrated for planar pointing and tracing gestures. We finally discuss how these invariant laws can be used for motion edition and generation.

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Author information

Authors and Affiliations

  1. Valoria, Université de Bretagne Sud, Campus de Tohannic, rue Yves Mainguy, F-56000, Vannes, France

    Sylvie Gibet, Jean-François Kamp & Franck Poirier

Authors
  1. Sylvie Gibet
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  2. Jean-François Kamp
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  3. Franck Poirier
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Editor information

Editors and Affiliations

  1. InfoMus Lab, DIST- University of Genova, Viale Causa 13, I-16145, Genova, Italy

    Antonio Camurri

  2. InfoMus Lab, DIST University of Genova, Viale Causa 13, I-16145, Genova, Italy

    Gualtiero Volpe

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© 2004 Springer-Verlag Berlin Heidelberg

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Gibet, S., Kamp, JF., Poirier, F. (2004). Gesture Analysis: Invariant Laws in Movement. In: Camurri, A., Volpe, G. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 2003. Lecture Notes in Computer Science(), vol 2915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24598-8_1

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  • DOI: https://doi.org/10.1007/978-3-540-24598-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21072-6

  • Online ISBN: 978-3-540-24598-8

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