Development of a Fall Detection Algorithm based on a Tri-axial Accelerometer

摘要：

The elder population are at high risk of having a falling accident. Once it happens, timely assistance can dramatically reduce the damage. Obviously, realtime and accurate fall detection is the key. The algorithm proposed in this work can distinguish falls from ADL (activities of daily living) and give the information of both fall direction and lying posture through analyzing data from a accelerometer placed in the head level. The experimental results demonstrate that the algorithm is of important practical value.

关键词： tri-axial accelerometer fall detection posture

作者: Yan Yang Xingqun Zhao

作者单位: Department of Biomedical Engineering, Southeast University, Nanjing Jiangsu, 210096, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1377-1380

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）