MIDL 2021

International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Threshold-based fall detection on smart phones

TitelThreshold-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

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.

Erstellt am 22. November 2021 - 14:56 von Fudickar.


Medizinische Informatik
an der Uni Lübeck studieren

Informationen für
u. Einsteiger


Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604

Gebäude 64 (Informatik)

Ratzeburger Allee 160
23538 Lübeck