SSL-Rehab: Assessment of physical rehabilitation exercises through self-supervised learning of 3D skeleton representations
Abstract: Highlights•Evaluating physical rehabilitation exercises by modeling progressively masked motion.•Preserving critical information through pretraining and transfer learning.•Extensive experiments on two rehabilitation datasets (KIMORE and UI-PRMD).
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