title: Development of a wearable-sensor-based fall detection system.
abstract: 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.
authors.affiliation: School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
authors.forename: Falin
authors.identifier: 0000-0003-0298-9476
authors.initials: F
authors.lastname: Wu
authors.affiliation: School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
authors.forename: Hengyang
authors.initials: H
authors.lastname: Zhao
authors.affiliation: School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: Space Star Technology Co., Ltd., Beijing 100086, China.
authors.forename: Haibo
authors.initials: H
authors.lastname: Zhong