Pre-impact and Impact Detection of Falls Using Built-In Tri-accelerometer of Smartphone
Falls in elderlies are a major health and economic problem.Research on falls in elderly people has the great social significance under the population aging.Previous smartphone-based fall detection systems have not both fall detection and fall prevention,and the feasibility has not been fully examined.In this paper,we propose a smartphone-based fall detection system using a threshold-based algorithm to distinguish between Activities of Daily Living (ADL) and falls in real time.The smartphone with built-in tri-accelerometer is used for detecting early-warning of fall based on pre-impact phase and post-fall based on impact phase.Eight healthy Asian adult subjects who wear phone at waist were arranged to perform three kinds of daily living activities and three kinds of fall activities.By comparative analysis of threshold levels for acceleration,in order to get the best sensitivity and specificity,acceleration thresholds were determined for early pre-impact alarm (4.5-5m/s2) and post-fall detection (21-28 m/s2) under experimental conditions.
smartphone tri-accelerometer fall detection fall prevention
Liyu Mao Ding Liang Yunkun Ning Yingnan Ma Xing Gao Guoru Zhao
Shenzhen Key Laboratory for Low-Cost Healthcare and Shenzhen Institute s of Advanced Technology,Chin Beijing Research Center of Urban System Engineering, Beijing, China
国际会议
The Third International Coference on Health Information Science(HIS2014)2014年第三届健康信息学国际学术会议
深圳
英文
167-174
2014-04-22（万方平台首次上网日期，不代表论文的发表时间）