Evaluating the accuracy of a mobile Kinect-based gait-monitoring system for fall prediction

Aaron Staranowicz, Garrett R. Brown, Gian-Luca Mariottini
2013 Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '13  
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 in 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
more » ... 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.
doi:10.1145/2504335.2504396 dblp:conf/petra/StaranowiczBM13 fatcat:nztnpgkfbbehph3j2oqxck6zuq