Optimized assessment of physical rehabilitation exercises using spatiotemporal, sequential graph-convolutional networks

Published: 01 Jan 2025, Last Modified: 20 May 2025Comput. Biol. Medicine 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Used GCNs to create adjacency matrices and extract temporal features.•Added action classification to ensure quality scores for valid sequences.•Achieved high performance on KIMORE and UI-PRMD with a real-time model.
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