Impact of external parameters on the gait recognition using a smartphone

Abstract

This paper identifies possible impacts of a couple of external parameters on gait recognition when a build-in smartphone accelerometer is used. Some parameters like the types of shoes impact gait recognition significantly while others like the type of surfaces has only a minor impact. A correlation between accelerometer’s data and the phone position was identified. For this, data originating from the Z-axis as well as from the X-Y-Z – axes was used together with Dynamic Time Warping (DTW) for template generation and matching tests.