Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents

Alexis Heloir, Michael Kipp, S. Gibet, N. Courty

In: H. Prendinger, J. Lester, M. Ishizuka (Hrsg.). Proceedings of the 8th International Conference on Intelligent Virtual Agents. International Conference on Intelligent Virtual Agents (IVA-08) 8th September 1-3 Tokyo Japan Seiten 215-222 Lecture Notes in Artificial Intelligence (LNAI) 5208 Springer 2008.


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.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence