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Motion rehabilitation is progressively required owing to an aging population and suffering of stroke, meaning personal movement evaluation needs to be valued. On the basis of the concept stated earlier, a deep-learning-based system is proposed to track human movement according to three-dimensional (3D) images in this work; meanwhile, the features of old-fashioned red-green blue (RG pictures, called two-dimensional (2D) photos, were used as an assessment. The outcomes indicate t

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