DocumentCode :
636682
Title :
Kinect-based rehabilitation system for patients with traumatic brain injury
Author :
Venugopalan, Janani ; Chihwen Cheng ; Stokes, T.H. ; Wang, May Dongmei
Author_Institution :
Wallace H. Coulter Dept. of Biomed. Eng. Dept., Georgia Inst. of Technol. & Emory Univ., Atlanta, GA, USA
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
4625
Lastpage :
4628
Abstract :
Traumatic brain injury (TBI) is one of the leading causes of death and disability in the age group of 0-44 years. Though physical exercises have proven benefits in the rehabilitation process, the compliance rate of patients in the home environment is poor. In this paper we propose a system, MotionTalk, which captures and analyses motion data acquired using Microsoft Kinect. It is designed to give a real time quantitative assessment of the exercises performed by TBI patients at home with respect to the same exercises performed in the clinic by utilizing relatively inexpensive contactless sensing and dynamic programming techniques. In comparison to previous reminder systems, wearable systems, and motion capture systems, MotionTalk is less intrusive in nature and inexpensive to deploy at home because it is based on readily available hardware. This was developed and tested on able bodied volunteers and in the future we hope to test it on patients with TBI, after IRB approval.
Keywords :
brain; data acquisition; dynamic programming; injuries; medical computing; patient rehabilitation; IRB; Kinect-based rehabilitation system; Microsoft Kinect; MotionTalk system; TBI patients; dynamic programming techniques; inexpensive contactless sensing; motion capture systems; motion data acquisition; physical exercises; real time quantitative assessment; traumatic brain injury; Brain injuries; Conferences; Correlation; Heuristic algorithms; Joints; Robot sensing systems; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610578
Filename :
6610578
Link To Document :
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