Evaluation of Threshold-based Fall Detection on Android Smartphones

Tobias Gimpel, Simon Kiertscher, Alexander Lindemann, Bettina Schnor, Petra Vogel

2015

Abstract

This paper evaluates threshold-based fall detection algorithms which use data from acceleration sensors that are part of the current smartphone technology. Different detection algorithms are published in the literature with different threshold values. This paper presents the evaluation of 5 different algorithms which are suited for Android smartphones. In contradiction to prior work, our experiments indicate that the Free Fall detection Phase is necessary for a low False Positive Rate. Further, we present an empirical evaluation of currently available fall detection apps in the Google Play store.

References

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Paper Citation


in Harvard Style

Gimpel T., Kiertscher S., Lindemann A., Schnor B. and Vogel P. (2015). Evaluation of Threshold-based Fall Detection on Android Smartphones . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 598-604. DOI: 10.5220/0005280805980604


in Bibtex Style

@conference{healthinf15,
author={Tobias Gimpel and Simon Kiertscher and Alexander Lindemann and Bettina Schnor and Petra Vogel},
title={Evaluation of Threshold-based Fall Detection on Android Smartphones},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={598-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005280805980604},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Evaluation of Threshold-based Fall Detection on Android Smartphones
SN - 978-989-758-068-0
AU - Gimpel T.
AU - Kiertscher S.
AU - Lindemann A.
AU - Schnor B.
AU - Vogel P.
PY - 2015
SP - 598
EP - 604
DO - 10.5220/0005280805980604