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Authors: Tobias Gimpel ; Simon Kiertscher ; Alexander Lindemann ; Bettina Schnor and Petra Vogel

Affiliation: Potsdam University, Germany

Keyword(s): Fall Detection, Development of Assistive Technology, Sensors-based Applications.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Development of Assistive Technology ; Distributed and Mobile Software Systems ; Health Engineering and Technology Applications ; Health Information Systems ; ICT, Ageing and Disability ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Software Engineering

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.

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Paper citation in several formats:
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 (BIOSTEC 2015) - HEALTHINF; ISBN 978-989-758-068-0; ISSN 2184-4305, SciTePress, pages 598-604. DOI: 10.5220/0005280805980604

@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 (BIOSTEC 2015) - HEALTHINF},
year={2015},
pages={598-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005280805980604},
isbn={978-989-758-068-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2015) - HEALTHINF
TI - Evaluation of Threshold-based Fall Detection on Android Smartphones
SN - 978-989-758-068-0
IS - 2184-4305
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
PB - SciTePress

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