STIGANet: Integrating DGCNS and attention mechanisms for real-time 3D pose estimation in sports

In modern sports training and competitions, precise action analysis and feedback are essential for optimizing athletes’ performance. Traditional methods, however, are time-consuming, labor-intensive, and prone to subjective judgment, leading to inconsistencies and inaccuracies. Existing AI-based app...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Qi Liu, Zhenzhou Wang, Han Zhang, Changqing Miao
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Subjects:	Sports action analysis 3D human pose estimation Dynamic graph convolutional networks Attention mechanisms Deformable transformer encoder
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016825002352