The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 재활 훈련을 위한 동작 평가 기법을 소개한다. 훈련 세트에서 일치하는 동작을 결정하기 위해 동작 인식 기술이 개발되었습니다. 그러나 훈련 동작 평가를 위해서는 동작을 얼마나 잘 따르고 있는지 측정해야 합니다. 우리는 모션 평가의 프레임워크로 유한 상태 머신(Finite State Machine)을 사용했습니다. 유사성 분석을 위해 모든 템플릿 매칭 알고리즘을 사용할 수 있지만 가중치 각도 값 차이를 사용했습니다. 조명 변화에 따른 견고성을 위해 IR LED와 IR 통과 필터가 있는 카메라가 사용되었습니다. 개발된 기술은 장애인 재활훈련에 성공적으로 활용됐다. 치료사들은 이 시스템이 실질적으로 유용하다고 평가했습니다.
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부
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
부
@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},}
부
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 -