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.

For millions of deaf and hard-of-hearing individuals around the world, communication barriers can make everyday interactions challenging. Traditional solutions, like sign language interpreters, are ...

A new real-time American Sign Language (ASL) interpretation system has been developed that uses advanced deep learning and precise hand point tracking to translate ASL gestures into text, enabling ...

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 ...

Sign language serves as a sophisticated means of communication vital to individuals who are deaf or hard-of-hearing, relying on hand movements, facial expressions, and body language to convey nuanced ...

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 ...