SAGCN: A spatiotemporal attention-weighted graph convolutional network with IoT integration for adolescent tennis motion analysis

Adolescent athletes, especially tennis players, face challenges in motion and health management during skill development, with traditional methods often lacking accuracy and real-time efficiency. While deep learning-based action recognition has advanced, issues like computational complexity and real...

Full description

Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Yuanfan Zhu, WeiJun Yu, Runlong Li
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Skeleton-based action recognition Adolescent tennis players IOT Graph convolutional network Spatiotemporal feature extraction Lightweight attention mechanism
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016825006982