Study on the method and system for falling detection based on the inclinometer.
- Author:
Yong ZHU
1
;
Yan ZHANG
;
Jia SONG
;
Tianshuang QIU
Author Information
1. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.
- Publication Type:Journal Article
- MeSH:
Accidental Falls;
prevention & control;
Aged;
Algorithms;
Equipment Design;
Female;
Humans;
Male;
Monitoring, Ambulatory;
instrumentation;
methods;
Posture
- From:
Journal of Biomedical Engineering
2013;30(1):95-99
- CountryChina
- Language:Chinese
-
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.
