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.
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Le Moing, J., Stengel, I. (2015). Impact of External Parameters on the Gait Recognition Using a Smartphone. In: Camp, O., Weippl, E., Bidan, C., Aïmeur, E. (eds) Information Systems Security and Privacy. ICISSP 2015. Communications in Computer and Information Science, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-319-27668-7_13
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DOI: https://doi.org/10.1007/978-3-319-27668-7_13
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