Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents

  • Authors:
  • Alexis Heloir;Michael Kipp;Sylvie Gibet;Nicolas Courty

  • Affiliations:
  • DFKI - German Research Center for Artificial Intelligence, , Saarbrücken, Germany 66123;DFKI - German Research Center for Artificial Intelligence, , Saarbrücken, Germany 66123;Laboratoire Valoria, Université de Bretagne Sud Campus de Tohannic, Vannes, 56000;Laboratoire Valoria, Université de Bretagne Sud Campus de Tohannic, Vannes, 56000

  • Venue:
  • IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
  • Year:
  • 2008

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Abstract

This paper presents an empirical evaluation of a method called "Style transformation" which consists of modifying an existing gesture sequence in order to obtain a new style where the transformation parameters have been extracted from an existing captured sequence. This data-driven method can be used either to enhance key-framed gesture animations or to taint captured motion sequences according to a desired style.