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International Gesture Workshop

GW 1999: Gesture-Based Communication in Human-Computer Interaction pp 129–140Cite as

Statistical Gesture Recognition Through Modelling of Parameter Trajectories

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1739))

Abstract

The recognition of human gestures is a challenging problem that can contribute to a natural man–machine interface. In this paper, we present a new technique for gesture recognition. Gestures are modelled as temporal trajectories of parameters. Local sub-sequences of these trajectories are extracted and used to define an orthogonal space using principal component analysis. In this space the probabilistic density function of the training trajectories is represented by a multidimensional histogram, which builds the basis for the recognition. Experiments on three different recognition problems show the general utility of the approach.

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Author information

Authors and Affiliations

  1. Projet PRIMA — Lab. GRAVIR–IMAG INRIA Rhônes–Alpes, 655, avenue de l’Europe, 38330, Montbonnot Saint Martin, France

    J. Martin, D. Hall & J. L. Crowley

Authors
  1. J. Martin
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  2. D. Hall
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  3. J. L. Crowley
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Editor information

Editors and Affiliations

  1. LIMSI-CNRS, BP 133, 91403, Orsay cedex, France

    Annelies Braffort , Rachid Gherbi , Sylvie Gibet  & Daniel Teil , ,  & 

  2. Université Paris Sud, LPM, 9140, Orsay, France

    James Richardson

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© 1999 Springer-Verlag Berlin Heidelberg

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Martin, J., Hall, D., Crowley, J.L. (1999). Statistical Gesture Recognition Through Modelling of Parameter Trajectories. In: Braffort, A., Gherbi, R., Gibet, S., Teil, D., Richardson, J. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 1999. Lecture Notes in Computer Science(), vol 1739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46616-9_12

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  • DOI: https://doi.org/10.1007/3-540-46616-9_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66935-7

  • Online ISBN: 978-3-540-46616-1

  • eBook Packages: Springer Book Archive

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