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 ...

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.

Zoom, Microsoft Teams, and Google Meet are all essential work-from-home tools, but for people with hearing disabilities, these apps can be troublesome to navigate, and even downright inaccessible.

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 ...