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Intelligent Engineering Systems through Artificial Neural Networks, Volume 16

Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

Studies of human perception show that human observers can almost instantaneously recognize biological motion patterns. These patterns can be decomposed into identifiable elements, which we organize in a hierarchical structure. The objective of this research is to find such a motion hierarchy using the visual information collected through motion capture and the learning algorithms of Self-organizing Maps (SOM). Such structure is sought to provide a machine with the ability to recognize biological motion patterns and to control the generality, precision, and realism in generating motion models for clinical studies, animation, and other disciplines.

Abstract
Introduction
Motion Capture Data
Data Clustering
SOM Experiments
Conclusions
References
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