Abstract
The paper presents a method for creating a personalized animation of avatar utilizing fuzzy inference. First the user designs a prototype version of animation, with keyframes only for important poses, roughly describing the action. Then, animation is enriched with new motion phases calculated by the fuzzy inference system using descriptors given by the user. Various degrees of motion fluency and naturalness are possible to achieve. The proposed algorithm of the animation enrichment based on fuzzy description is thoroughly presented. The first part consists of creating fuzzy rules for the algorithm using results of subjective evaluation of the animated movement, the second one utilizes input descriptors for new motion phases calculation, which are finally added to the animation. Results of subjective evaluation of obtained animations are presented.
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© 2009 Springer-Verlag Berlin Heidelberg
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Szczuko, P., Kostek, B., Czyżewski, A. (2009). New Method for Personalization of Avatar Animation. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_46
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DOI: https://doi.org/10.1007/978-3-642-00563-3_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00562-6
Online ISBN: 978-3-642-00563-3
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