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.

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system ...

What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...

More than 70 million deaf or hard-of-hearing people globally use sign language, but there's an acute shortage of interpreters. Silence Speaks is a British startup that wants to bridge that gap with an ...

Bader Alsharif, the first author, demonstrates how the system spells out names and locations in real time using American Sign Language. For millions of deaf and hard-of-hearing individuals around the ...