To bridge that gap, Google AI researchers have presented a real-time sign language detection model that can identify people who are signing—as opposed to lifting up their arm to brush a hair ...

The company presented a real-time sign language detection model and demonstrated how it can be used to provide video conferencing systems with a mechanism to identify the person signing as the ...

It would defeat the point if the sign language detection worked but it resulted in delayed or degraded video, so their goal was to make sure the model was both lightweight and reliable.

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.

This real-time sign language detection model can identify when someone is showing signs, and when they are done, Google said. The model can connect to various video conferencing applications ...