16th International Conference on Computer Animation and Social Agents (CASA 2003) Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models New Brunswick, New Jersey May 08-May 09 ISBN: 0-7695-1934-2
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non linear mappings between sensory signals and motor control. The learning phase is handled through a General Regression Neural Network model simulated by using near neighbors search algorithms (kd-tree). The resulting adaptive model (ASMM) is suitable for the expressive animation of an anthropomorphic hand-arm system involved in reaching or tracking tasks.
Citation:
Sylvie Gibet, Pierre-François Marteau, "Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models," casa, pp.79, 16th International Conference on Computer Animation and Social Agents (CASA 2003), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||