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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Tae-young KIM, Jun PARK, Cheol-Su LIM, "Motion Evaluation for Rehabilitation Training of the Disabled" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2688-2690, September 2008, doi: 10.1093/ietfec/e91-a.9.2688.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2688/_p
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@ARTICLE{e91-a_9_2688,
author={Tae-young KIM, Jun PARK, Cheol-Su LIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Motion Evaluation for Rehabilitation Training of the Disabled},
year={2008},
volume={E91-A},
number={9},
pages={2688-2690},
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.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2688},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Motion Evaluation for Rehabilitation Training of the Disabled
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2688
EP - 2690
AU - Tae-young KIM
AU - Jun PARK
AU - Cheol-Su LIM
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2688
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - 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.
ER -