Home // ICSNC 2017, The Twelfth International Conference on Systems and Networks Communications // View article

A Preliminary Study on Using Smartphones to Detect Falling Accidents

Authors:
Jin-Shyan Lee
Hsuan-Han Tseng

Keywords: fall detection; smartphones; triaxial accelerometers.

Abstract:
In order to improve the disadvantages of current smartphone-based fall detection systems, this paper analyzes the characteristics of triaxial accelerometer values to identify thresholds of the non-falls and falls, and proposes an improved threshold-based fall detection method, which is not only able to quickly filter out most of daily activities (including walking running, sitting down, and so on) but also to detect the direction of four types of falling events. Moreover, as soon as a falling accident is detected, the user’s position could be immediately sent to the rescue center so as to get medical help.

Pages: 42 to 47

Copyright: Copyright (c) IARIA, 2017

Publication date: October 8, 2017

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-591-3

Location: Athens, Greece

Dates: from October 8, 2017 to October 12, 2017