文章基本信息

标题：A Panoramic Study of Fall Detection Technologies
本地全文：下载
作者：Laiali Almazaydeh ; Khitam Al-Otoon ; Ayman Al Dmour 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2016
卷号：13
期号：3
出版社：IJCSI Press
摘要：Falls are a major risk of injury for elderly aged 65 or over, blind people, people with balance disorder and leg weakness. In this regard, assistive technology which aims to identify fall events at real time can reduce the rate of impairments and mortality. This study offer a literature research reference value for bioengineers for further research. Much of the past and the current fall detection research, the vital signals features and the way features are extracted and fed to a classifier are introduced. The study concludes with an assessment of the current technologies highlighting their critical limitations along with suggestions for future research direction in this rapidly developing field of study.
关键词：Fall detection; elderly monitoring; accelerometer; tilt; gyroscope; vision;based; ambience;base; pressure sensor; SVM; KNN; classification.