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

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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Bibliographic Details
Main Authors: Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-01-01
Series:Journal of Information and Intelligence
Subjects:
Sign language recognition
Graph convolutional network
Hand-aware graphs
Skeleton data
Multi-stream fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S294971592400074X
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