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.

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 ...

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 ...

A Kenyan entrepreneur who designed an app that translates speech into sign language using AI-powered 3D avatars has won a major award for African innovation. “Think of it as Google Translate for sign ...

Sign language is a language you express by using your hands and face instead of spoken words. It’s most commonly used by people in the Deaf community. How many types of sign language are there? There ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

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 ...