4018966
Analysis of human motion with methods from machine learning
Usually, predefined kinematic parameters are investigated in biomechanical studies of human motion. In recent years, techniques of machine learning have been added to this field of research (Chau, 2001). In this study different dimension reduction methods like Principal Component Analysis (PCA) and Fourier Transformation (FT) are investigated as an alternative to common biomechanical approaches in motion analysis.
© Copyright 2009 ISBS - Conference Proceedings Archive (Konstanz). Springer. Published by International Society of Biomechanics in Sports. All rights reserved.
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| Notations: | training science technical and natural sciences |
| Published in: | ISBS - Conference Proceedings Archive (Konstanz) |
| Language: | English |
| Published: |
Limerick
International Society of Biomechanics in Sports
2009
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| Online Access: | https://ojs.ub.uni-konstanz.de/cpa/article/view/3349/3149 |
| Volume: | 27 |
| Issue: | 1 |
| Pages: | 759 |
| Document types: | electronical journal |
| Level: | advanced |