The Smartphone as a Gait Recognition Device - Impact of Selected Parameters on Gait Recognition

Josselyn Le Moing, Ingo Stengel

Abstract

This paper aims to identify the impacts of a couple of parameters on gait recognition when a build-in smartphone accelerometer is used. The use of different types of shoes impacts significantly gait recognition while the matching rate on a different surface e.g. grass 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 –axis was used together with Dynamic Time Warping (DTW) for template generation and matching tests.

References

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Paper Citation


in Harvard Style

Le Moing J. and Stengel I. (2015). The Smartphone as a Gait Recognition Device - Impact of Selected Parameters on Gait Recognition . In Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-081-9, pages 322-328. DOI: 10.5220/0005243003220328


in Bibtex Style

@conference{icissp15,
author={Josselyn Le Moing and Ingo Stengel},
title={The Smartphone as a Gait Recognition Device - Impact of Selected Parameters on Gait Recognition},
booktitle={Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2015},
pages={322-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005243003220328},
isbn={978-989-758-081-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - The Smartphone as a Gait Recognition Device - Impact of Selected Parameters on Gait Recognition
SN - 978-989-758-081-9
AU - Le Moing J.
AU - Stengel I.
PY - 2015
SP - 322
EP - 328
DO - 10.5220/0005243003220328