What are the latest research trends in sign language recognition?
Recent trends include deep learning techniques, real-time recognition systems, and improved datasets for training.
Can you explain how deep learning is being used in this field?
Deep learning models, especially convolutional neural networks, are used to analyze video data of sign language gestures.
What challenges do researchers face in sign language recognition?
Challenges include variations in signing styles, background noise, and the need for large annotated datasets.
Are there any notable projects or papers I should look into?
Yes, projects like RWTH-PHOENIX-Weather and papers on transformer models for sign language are quite influential.
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