Improving the Believability of Virtual Characters Using Qualitative Gesture Analysis

  • Barbara Mazzarino
  • Manuel Peinado
  • Ronan Boulic
  • Gualtiero Volpe
  • Marcelo M. Wanderley
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5085)


This paper describes preliminary results of a research performed in the framework of the Enactive project (EU IST NoE Enactive). The aim of this research is to improve believability of a virtual character using qualitative analysis of gesture. Using techniques developed for human gesture analysis, we show it is possible to extract high-level motion features from reconstructed motion and to compare them with the same features extracted from the corresponding real motions. Moreover this method allows us to evaluate whether the virtual character conveys the same high level expressive content as the real motion does, and makes it possible to compare different rendering techniques in order to assess which one better maintains such information.


Gesture Analysis Believability Expressive Motion Content 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Barbara Mazzarino
    • 1
  • Manuel Peinado
    • 2
  • Ronan Boulic
    • 3
  • Gualtiero Volpe
    • 1
  • Marcelo M. Wanderley
    • 4
  1. 1.InfoMus Lab-DIST-Università degli Studi di GenovaItaly
  2. 2.Escuela Politécnica University of AlcaláSpain
  3. 3.VRLAB, Ecole Polytechnique Fédérale de Lausanne, EPFLLausanneSwitzerland
  4. 4.McGill UniversityMontrealCanada

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