A new study on real-time American Sign Language recognition using MediaPipe and YOLOv8 achieves 98 % accuracy, enhancing communication accessibility.

Posted in Machine Learning Tagged Alphabet, american sign language, ASL, camera, computer vision, mobilenetv2, opencv, picamera, raspberry pi, sign language, signapse Post navigation ← Clever ...

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.

Earlier this year, Google presented a research paper on real-time sign language detection using human pose estimation at the Sign Language Recognition, Translation and Production 2020 workshop.