What are the main challenges in sign language recognition?
Some challenges include variations in signing styles, different dialects, and the need for real-time processing.
How do different dialects affect recognition accuracy?
Different dialects can have unique signs and gestures, making it difficult for a system trained on one dialect to recognize another.
Are there any technological advancements helping with these challenges?
Yes, advancements in machine learning and computer vision are improving recognition accuracy and adaptability.
What role does data collection play in improving sign language recognition?
Data collection is crucial as it helps train models on diverse signing styles and contexts, enhancing their performance.
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