Spatial–Temporal Dynamic Graph Attention Network for Skeleton-Based Action Recognition

Human body skeleton, acting as a spatiotemporal graph, is increasing attentions of researchers to adopt graph convolutional networks (GCN) to mine the discriminative features from skeleton joints. However, one of GCN’s flaws is its inability to handle long-distance reliance between joints...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mrugendrasinh Rahevar, Amit Ganatra, Tanzila Saba, Amjad Rehman, Saeed Ali Bahaj
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Skeleton action recognition graph attention network multihead attention
Online Access:	https://ieeexplore.ieee.org/document/10049987/