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.
Technological advancements of communication systems have enabled the Deaf and Hard of Hearing community (DHH) to share and receive signed messages via video calls, video conferencing, and videos ...
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