The build uses a computer vision model in MobileNetV2 which is trained for each sign in the ASL alphabet.

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 ...

True, automatic translation of sign language is a goal only just becoming possible with advances in computer vision, machine learning and imaging.

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

What's next for the fields of computer vision and natural language understanding? This question was originally answered on Quora by Alexandr Wang.

People who use British Sign Language (BSL) have better reaction times in their peripheral vision, a new study from the University of Sheffield has found.

It’s not only humans that can learn from watching television. Software developed in the UK has worked out the basics of sign language by absorbing TV shows that are both subtitled and signed ...