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Generative Multi-Stream Architecture For American Sign Language Recognition
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization.
FineHand: Learning Hand Shapes for American Sign Language Recognition
American Sign Language recognition is a difficult gesture recognition problem, characterized by fast, highly articulate gestures.
Sign Language Recognition Analysis using Multimodal Data
Despite having similarity with the well-studied human activity recognition, the use of 3D skeleton data in sign language recognition is rare.
Annotation of a Large Clinical Entity Corpus
But in order to take full advantage of the ML approaches, an accurately annotated corpus becomes an essential requirement.
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