title: [Study on the method and system for falling detection based on the inclinometer].
abstract: A falling is a risky incident of safety and health of human. It may cause serious injuries, such as bone fracture, and even death. A falling detection method based on inclinometer is described. At first, we collect angle data recorded by a wearable inclinometer placed at subject's waist. The angular data are transmitted to PC through a wireless data transmission device. Then, the falling duration is divided into three phases: the state of fall, the impact phase, and the posture phase. We make threshold-based fall-detection decisions in every phase after feature extraction and analysis of the short-time angle data. Finally, a robust falling detection result is given by comprehensive considerations of the three phases decisions. The experiment results proved that the accuracy of our falling detection method was up to 97.23% without undetected falls.
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhu
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.forename: Jia
authors.initials: J
authors.lastname: Song
authors.forename: Tianshuang
authors.initials: T
authors.lastname: Qiu
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control*; D000368:Aged; D000465:Algorithms; D004867:Equipment Design; D005260:Female; D006801:Humans; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D011187:Posture