Motion evaluation for rehabilitation training of the disabled
- Authors
- Kim, Tae-young; Park, Jun; Lim, Cheol-Su
- Issue Date
- Sep-2008
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- motion evaluation; Finite State Machine; infrared LED; clustering; rehabilitation training
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E91A, no.9, pp.2688 - 2690
- Journal Title
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
- Volume
- E91A
- Number
- 9
- Start Page
- 2688
- End Page
- 2690
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/22679
- DOI
- 10.1093/ietfec/e91-a.9.2688
- ISSN
- 0916-8508
- Abstract
- In this paper, a motion evaluation technique for rehabilitation training is introduced. Motion recognition technologies have been developed for determining matching motions in the training set. However, we need to measure how well and how much of the motion has been followed for training motion evaluation. We employed a Finite State Machine as a framework of motion evaluation. For similarity analysis, we used weighted angular value differences although any template matching algorithm may be used. For robustness under illumination changes, IR LED's and cameras with IR-pass filter were used. Developed technique was successfully used for rehabilitation training of the disabled. Therapists appraised the system as practically useful.
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