A biomechanical-constrained temporal learning framework for lightweight skeleton-based exercise recognition

Abstract The recognition of exercises using skeletal pose sequences is a significant fitness technology, rehabilitation monitoring, and sports analytics. Nevertheless, the current practices tend to ignore the basic biomechanical processes of human motion. This paper presents a Biomechanical-Aware Te...

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Hauptverfasser:	Shaha Al-Otaibi, Adil Ali Saleem, Amjad R. Khan, Mona M. Jamjoom, Hafeez Ur Rehman Siddiqui, Abdallah Yousif, Noor Ayesha
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-05-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Exercise recognition Biomechanical constraints Temporal learning Pose estimation Skeleton-based action recognition
Online-Zugang:	https://doi.org/10.1038/s41598-026-50771-0
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