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.

GREENWICH — When the bell rang, Annmarie Anderson stood before her class silently, then gestured with her hands. Every time she paused, a different student raised their hand. This is how Anderson ...

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 ...

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 ...