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research article
Level, Downhill and Uphill Walking Identification Using Neural Networks
1993
Body accelerations during human walking are recorded by a portable measuring device. A new method for parameterising body accelerations is introduced. The parameters are presented to a Kohonen neural network classifier and the feasibility of identification and dissociation of level and walking on a gradient is demonstrated. The most important and original aspect of this classification is its ability to identify the gradient of walking performed in free- living conditions from walking trained on a treadmill.
Type
research article
Web of Science ID
WOS:A1993MG40600045
Authors
Publication date
1993
Published in
Volume
29
Issue
17
Start page
1563
End page
1565
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
November 30, 2006
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