Evaluation of Threshold-based Fall Detection on Android Smartphones
Tobias Gimpel, Simon Kiertscher, Alexander Lindemann, Bettina Schnor, Petra Vogel · 2015
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.