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Computer Vision-Based Recognition of American Sign Language - MSNA new study on real-time American Sign Language recognition using MediaPipe and YOLOv8 achieves 98 % accuracy, enhancing communication accessibility.
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 ...
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