A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures.
A research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology that can continuously and in real time track finger-spelling in American Sign Language (ASL).
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