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Multi-Kinect skeleton fusion for physical rehabilitation monitoring
conference contribution
posted on 2014-01-01, 00:00 authored by S Li, Pubudu PathiranaPubudu Pathirana, Terry CaelliTerry CaelliKinect has been increasingly applied in rehabilitation as a motion capture device. However, the inherent limitations significantly hinder its further development in this important area. Although a number of Kinect fusion approaches have been proposed, only a few of them was actually considered for rehabilitation. In this paper, we propose to fuse information from multiple Kinects to achieve this. Given the specific scenario of users suffering from limited range of movements, we propose to calibrate depth cameras in multiple Kinects with 3D positions of joints on a human body rather than in a checkerboard pattern, so that patients are able to calibrate Kinects without extra support. Kalman filter is applied for skeleton-wise Kinect fusion since skeleton data (3D positions of joints) and its derivatives are preferred by physiotherapists to evaluate the exercise performance of patients. Various preliminary experiments were conducted to illustrate the accuracy of proposed calibration and fusion approach by comparing with a commercial Vicon system®, confirming the practical use of the system in rehabilitation exercise monitoring.
History
Event
IEEE Engineering in Medicine and Biology Society. Conference (36th: 2014: Chicago, Illinois)Pagination
5060 - 5063Publisher
IEEELocation
Chicago, IllinoisPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-08-26End date
2014-08-30ISSN
1557-170XISBN-13
9781424479283Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
N LovellTitle of proceedings
EMBS 2014 : Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyUsage metrics
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