Level, Downhill and Uphill Walking Identification Using Neural Networks

Aminian, K.Robert, Ph.Jequier, E.Schutz, Y.2006-11-302006-11-302006-11-30199310.1049/el:19931042https://infoscience.epfl.ch/handle/20.500.14299/237116WOS:A1993MG40600045Body 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.BIOMEDICAL MEASUREMENTNEURAL NETWORKLevel, Downhill and Uphill Walking Identification Using Neural Networkstext::journal::journal article::research article