Determination of Gait Parameters from the Wearable Motion Analysis System eSHOE

Abstract

Limitation of mobility often leads to considerable loss in quality of life. The mobile motion analysis system eSHOE represents a new method for the detection of gait parameters, in order to enable monitoring of the rehabilitation processes. The system has been tested in a pilot study at a geriatric hospital in Vienna. Autocorrelation and cross-correlation analyses proved to be suitable methods for the extraction of gait parameters from eSHOE data. Based on the results a method for gait symmetry determination will be developed as a next step.