Head & Hands Tunneling Pipeline for Enhancing Sign Language Recognition

• Published in: IEEE access Vol. 13; p. 1
• Main Authors: Batnasan, Ganzorig, Otgonbold, Munkh-Erdene, Memon, Qurban Ali, Shih, Timothy K., Gochoo, Munkhjargal
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Computational modeling; foundation model; Foundation models; Hands; Head; Pipelines; Sign language; Sign language recognition; Transformers; Tunneling; Visualization; ViT; WLASL2000

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...