Motion Evaluation for Rehabilitation Training of the Disabled

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概要

• 論文の詳細を見る

• 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 LEDs 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.

• （社）電子情報通信学会の論文
• 2008-09-01

著者

• Lim Cheol-su

  Seokyeong University

• Kim Tae-young

  Seokyeong University

• PARK Jun

  Hong-ik University

関連論文

• Motion Evaluation for Rehabilitation Training of the Disabled
• A Real-Time Hand Pose Recognition Method with Hidden Finger Prediction

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