文章基本信息

标题：Depth Sensor Based Skeletal Tracking Evaluation for Fall Detection Systems
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作者：Subarna Sinha ; Suman Deb
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：9
期号：7
页码：350-354
DOI：10.14445/22312803/IJCTT-V9P164
出版社：Seventh Sense Research Group
摘要：Falls are very common in elderly due to various physical constraints. Since falls may cause serious injury and even death, fall detection systems are very important, especially when the victim is alone at home or is unable to seek regular/timely medical assistance. In this paper, development of a fall detection system based on Kinect sensor is evaluated. Microsoft Kinect is a low cost RGBD sensor and it has the ability to track joint positions which could prove useful as a sophisticated tool for fall detection. In this study the potential of Kinect for application in fall detection has been investigated.
关键词：fall detection; Kinect; skeleton detection; depth image; infrared camera.