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

Ki-Hyeon Kwon; Hyung-Bong Lee

KJC Korea
Journal Central

Journal of The Korea Society of Computer and Information 2021 KCI Impact Factor : 0.62

Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

http://journal.kci.go.kr/jksci

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

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
열림/닫힘 버튼

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
열림/닫힘 버튼

The Upper Limb Rehabilitation, Stereo Vision, LDA, SVM, Kinect

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REFERENCES (11)
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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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