An Automatic Human Fall Detection Approach Using RGBD Cameras

被引:0
|
作者
Zhang, Shugang [1 ]
Li, Zhen [1 ]
Wei, Zhiqiang [1 ]
Wang, Shuang [1 ]
机构
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Peoples R China
关键词
healthcare; fall detection; skeleton; kinect; ALGORITHMS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Unexpected fall remains the major threat for elderly since it can cause severe consequences. In this paper, an automatic human fall detection approach is proposed using RGB-Depth (RGBD) cameras. Based on the skeleton and joints data, three velocity features and a head-hip height difference feature are extracted within each sliding window. The features are then gradually analyzed and compared to adaptive thresholds by the proposed multi-step fall detection method. We also conducted a series evaluation on the determination of thresholds and the whole approach. The experiments show a good result with a high F1-measure of 0.944.
引用
收藏
页码:781 / 784
页数:4
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