Hand-aware graph convolution network for skeleton-based sign language recognition

Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. Currently, graph convolution networks (GCNs) have been employed in skeleton-based SLR and achieved remarkable performance. However, existing GCN-based SLR methods suffer fr...

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Podrobná bibliografie

Hlavní autoři:	Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2025-01-01
Edice:	Journal of Information and Intelligence
Témata:	Sign language recognition Graph convolutional network Hand-aware graphs Skeleton data Multi-stream fusion
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S294971592400074X
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