Head and Hands Tunneling Pipeline for Enhancing Sign Language Recognition
Sign Language Recognition (SLR) presents a significant challenge as a fine-grained, scene- and subject-invariant video classification task, primarily relying on hand gestures and facial expressions to convey meaning. Vision foundation models, such as Vision Transformers (ViTs), trained on general hu...
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| Main Authors: | Ganzorig Batnasan, Munkh-Erdene Otgonbold, Qurban Ali Memon, Timothy K. Shih, Munkhjargal Gochoo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11087542/ |
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