Rehab-Pile, a standardized archive of 60 rehabilitation skeleton datasets with reproducible baselines, reports that the authors' lightweight LITEMV model wins on efficiency and usually on accuracy.
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A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning
Rehab-Pile, a standardized archive of 60 rehabilitation skeleton datasets with reproducible baselines, reports that the authors' lightweight LITEMV model wins on efficiency and usually on accuracy.