Introduces the first continuous Saudi Sign Language dataset (KAU-CSSL, 85 medical sentence classes) and a ResNet-18 + Transformer + BiLSTM classifier reporting 99.02% signer-dependent and 77.71% signer-independent accuracy.
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Continuous Saudi Sign Language Recognition: A Vision Transformer Approach
Introduces the first continuous Saudi Sign Language dataset (KAU-CSSL, 85 medical sentence classes) and a ResNet-18 + Transformer + BiLSTM classifier reporting 99.02% signer-dependent and 77.71% signer-independent accuracy.