Level, downhill and uphill walking identification using neural networks
- 1 January 1993
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 29 (17), 1563-1565
- https://doi.org/10.1049/el:19931042
Abstract
Body accelerations during human walking are recorded by a portable measuring device. A new method for parametrising 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.Keywords
This publication has 1 reference indexed in Scilit:
- Self-Organization and Associative MemorySpringer Series in Information Sciences, 1989