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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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co., Ltd.
2025-01-01
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| Серии: | Journal of Information and Intelligence |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S294971592400074X |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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