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Hand action recognition in rehabilitation exercise method using R(2+1)D deep learning network and interactive object information
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In this paper, we propose a model to recognize the patient's hand action in rehabilitation exercises, which is a combination of the results of a deep learning network recognizing actions on Video RGB, R(2+1)D, and a main interactive object in the exercise detection algorithm. |