New Method for Personalization of Avatar Animation

  • Piotr Szczuko
  • Bożena Kostek
  • Andrzej Czyżewski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 59)


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.


animation fuzzy logic multimedia subjective features 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Piotr Szczuko
    • 1
  • Bożena Kostek
    • 1
  • Andrzej Czyżewski
    • 1
  1. 1.Multimedia Systems DepartmentGdan̈sk University of TechnologyGdan̈skPoland

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