Human Gait Analysis and Classification Based on Neural Networks and Fuzzy Logic

Human gait analysis and classification is the process of identifying individuals by their walking manners. Computerized gait analysis using neural networks and fuzzy logic has become an integral part of the treatment decision-making process. Authors proposed the integration of kinetic data, more specifically power joints in combination with neural networks and fuzzy logic. It is a relatively new addition to other types of data including temporal and stride parameters. The performance of our approach was verified in laboratory for motion analysis. The obtained results are satisfying.


Published in:
Solid State Phenomena, 147-149, 600-605
Year:
2009
Keywords:
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Note: The status of this file is: EPFL only


 Record created 2010-03-04, last modified 2018-03-17

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