Deep learning system to track human motion

Motion rehabilitation is progressively required owing to an aging population and suffering from stroke, which means human motion analysis, must be valued. Human motion is implicitly required in several fields such as healthcare, sports, video surveillance, body-based user interfaces. A deep-learning-based system is proposed to track human motion by using computer vision based on image and video processing, lower layers may identify edges, while higher layers may identify the concepts which are related to a human. 

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