Athlete Identification using Acceleration and Electrocardiographic Measurements Recorded with a Wireless Body Sensor

Peter Christ, Felix Werner, Ulrich Rückert, Jörg Mielebacher

2013

Abstract

In this paper we propose a biometric method for identifying humans during walking and jogging. We use acceleration and electrocardiographic measurements recorded with a wireless body sensor attached to a chest strap. Our method does not require a particular acquisition setup. Information on the gait style and on the physiology is combined to identify a human despite severe motion related artefacts in the electrocardiograph and variations in the gait patterns. We propose to identify humans using features extracted in time and frequency domain and a standard classifier. With the collected data of 22 subjects on a treadmill at velocities from 3 to 9 km/h we obtained an accuracy of 98.1 %. The sensitivity of the identification ranged between 94.6 to 99.5% for the different subjects and the specificity was higher than 99.7 %.

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Paper Citation


in Harvard Style

Christ P., Werner F., Rückert U. and Mielebacher J. (2013). Athlete Identification using Acceleration and Electrocardiographic Measurements Recorded with a Wireless Body Sensor . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 11-19. DOI: 10.5220/0004190300110019


in Bibtex Style

@conference{biosignals13,
author={Peter Christ and Felix Werner and Ulrich Rückert and Jörg Mielebacher},
title={Athlete Identification using Acceleration and Electrocardiographic Measurements Recorded with a Wireless Body Sensor},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={11-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004190300110019},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Athlete Identification using Acceleration and Electrocardiographic Measurements Recorded with a Wireless Body Sensor
SN - 978-989-8565-36-5
AU - Christ P.
AU - Werner F.
AU - Rückert U.
AU - Mielebacher J.
PY - 2013
SP - 11
EP - 19
DO - 10.5220/0004190300110019