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Threshold-based fall detection on smart phones

TitleThreshold-based fall detection on smart phones
Publication TypeConference Paper
Year of Publication2014
AuthorsFudickar S., Lindemann A., Schnor B.
Conference NameHEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Date Published2014
ISBN Number9789897580109
Abstract

This paper evaluates threshold-based fall detection algorithms which use data from acceleration sensors that are part of the current smart phone technology. The evaluation was done with sampled fall records where young people simulate falls. To test the false positive rate of the algorithms, another record set with Activities of the Daily Living (ADLs) from elderlies was used. The results are very promising and show that smart phone sensors are suitable for fall detection. This will offer a new opportunity to assist elderlies in their daily living and extend their period of self-determined living.

URLhttps://www.scitepress.org/papers/2014/47958/47958.pdf
Created at November 22, 2021 - 3:56pm by Fudickar.

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