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International Journal of Telemedicine and Applications
Volume 2015, Article ID 576364, 11 pages
Research Article

Development of a Wearable-Sensor-Based Fall Detection System

1School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China
2Space Star Technology Co., Ltd., Beijing 100086, China

Received 6 August 2014; Revised 22 December 2014; Accepted 30 December 2014

Academic Editor: Fei Hu

Copyright © 2015 Falin Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient’s location.