Multi-Kinect skeleton fusion for physical rehabilitation monitoring

Li,S, Pathirana,PN and Caelli,T 2014, Multi-Kinect skeleton fusion for physical rehabilitation monitoring, in EMBS 2014 : Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Piscataway, N.J., pp. 5060-5063, doi: 10.1109/EMBC.2014.6944762.

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Title Multi-Kinect skeleton fusion for physical rehabilitation monitoring
Author(s) Li,S
Pathirana,PNORCID iD for Pathirana,PN orcid.org/0000-0001-8014-7798
Caelli,TORCID iD for Caelli,T orcid.org/0000-0001-9281-2556
Conference name IEEE Engineering in Medicine and Biology Society. Conference (36th: 2014: Chicago, Illinois)
Conference location Chicago, Illinois
Conference dates 2014/8/26 - 2014/8/30
Title of proceedings EMBS 2014 : Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s) Lovell,N
Publication date 2014
Conference series IEEE Engineering in Medicine and Biology Society Conference
Start page 5060
End page 5063
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary  Kinect 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.
ISBN 9781424479283
ISSN 1557-170X
Language eng
DOI 10.1109/EMBC.2014.6944762
Field of Research 090303 Biomedical Instrumentation
090399 Biomedical Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071819

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