TY  - JOUR
PY  - 2015//
TI  - Development of a wearable-sensor-based fall detection system
JO  - International journal of telemedicine and applications
A1  - Wu, Falin
A1  - Zhao, Hengyang
A1  - Zhao, Yan
A1  - Zhong, Haibo
SP  - e576364
EP  - e576364
VL  - 2015
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1687-6415
UR  - http://dx.doi.org/10.1155/2015/576364
ID  - ref1
ER  -