Evaluating the accuracy of a mobile Kinect-based gait-monitoring system for fall prediction
Evaluating the accuracy of a mobile Kinect-based gait-monitoring system for fall prediction
复制标题
评估基于 Kinect 的移动步态监测系统跌倒预测的准确性
DOI：
10.1145/2504335.2504396
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发表时间：
2013
期刊：
影响因子：
2.9
通讯作者：
G. Mariottini
中科院分区：
文献类型：
--
作者：
A. Staranowicz;Garrett R. Brown;G. Mariottini
Accurately and pervasively monitoring the human walking pattern (or gait) is fundamental to predict falls and functional decline, which are among the leading causes of injury and death in older adults. Existing gait-monitoring devices are not routinely used in clinical practice since they lack accuracy, ease-of-use, and unobtrusiveness. We present a novel breakthrough Kinect-based robotic system to accurately monitor the human gait during normal daily-life activities. Our system combines many interesting features: it has unlimited capturing volume, it is low cost, and does not require fiducial markers on the person. We present an extensive study of its accuracy in computing fall-prediction parameters when compared to the Vicon motion-capture system.
影响因子：
4.3
作者：
Hausdorff, JM;Rios, DA;Edelberg, HK
通讯作者：
Edelberg, HK
影响因子：
158.5
作者：
TINETTI, ME;SPEECHLEY, M;GINTER, SF
通讯作者：
GINTER, SF
影响因子：
3.3
作者：
Hausdorff, JM;Lertratanakul, A;Goldberger, AL
通讯作者：
Goldberger, AL