Real-time animation of human characters with fuzzy controllers

The production of animation is a resource intensive process in game companies. Therefore, techniques to synthesize animations have been developed. However, these procedural techniques offer limited adaptability by animation artists. In order to solve this, a fuzzy neural network model of the animati...

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Bibliographic Details
Published in:arXiv.org 2014-10
Main Authors: Samyn, Koen, Sofie Van Hoecke, Pieters, Bart, Hollemeersch, Charles, Demeulemeester, Aljosha, van de Walle, Rik
Format: Article
Language:English
Subjects:
Animation
Artificial neural networks
Artists
Fuzzy control
Fuzzy logic
Gait
Machine learning
Motion capture
Neural networks
Real time
Synthesis
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Summary:The production of animation is a resource intensive process in game companies. Therefore, techniques to synthesize animations have been developed. However, these procedural techniques offer limited adaptability by animation artists. In order to solve this, a fuzzy neural network model of the animation is proposed, where the parameters can be tuned either by machine learning techniques that use motion capture data as training data or by the animation artist himself. This paper illustrates how this real time procedural animation system can be developed, taking the human gait on flat terrain and inclined surfaces as example. Currently, the parametric model is capable of synthesizing animations for various limb sizes and step sizes.
ISSN:2331-8422