Recognition of Physical Rehabilitation on the Upper Limb Function using 3D Trajectory Information from the Stereo Vision Sensor

Ki-Hyeon Kwon; Hyung-Bong Lee

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2013, 18(8), pp.113-119
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Ki-Hyeon Kwon ¹, Hyung-Bong Lee ²

¹강원대학교
²강릉원주대학교

ABSTRACT

The requirement of rehabilitation is increasing from the stroke, spinal cord injury. One of the most difficult part is the upper limb rehabilitation because of its nervous complexity. A rehabilitation has effectiveness when a professional therapist treats in work at facility, but it has problems of an accessibility, a constant availability, a self-participation and taking lots of cost and time. In this paper, we test and experiment the accuracy and execution time of the pattern recognition algorithms like PCA, ICA, LDA, SVM to show the recognition possibility of it on the upper limb function from the 3D trajectory information which is gathered from stereo vision sensor(Kinect). From the result, PCA, ICA have low accuracy, but LDA, SVM have good accuracy to use for physical rehabilitation on the upper limb function.
KEYWORDS

The Upper Limb Rehabilitation, Stereo Vision, LDA, SVM, Kinect
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KCI Citation (1)

KJC Korea
Journal Central

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