A new dataset of British Sign Language footage to help academic researchers interested in automated sign language recognition has just been released. For the last three years, the BBC has worked ...

A new study on real-time American Sign Language recognition using MediaPipe and YOLOv8 achieves 98 % accuracy, enhancing communication accessibility.

Sign-Speak aims to use machine learning to make communicating through sign language easier. Cofounder Nikolas Kelly's own challenges communicating while deaf prompted the idea.

To do this finger recognition part, they first had to manually add those 21 points to some 30,000 images of hands in various poses and lighting situations for the machine learning system to ingest ...

Sign language can like any language be difficult to learn if you’re not immersed in it, or at least learning from someone who is fluent. It’s not easy to know when you’re making m… ...

Using machine learning platform Tensorflow, Singh trained an A.I. to understand American Sign Language and used Google's text-to-speech to translate the signs into spoken words.

A new dataset of British Sign Language footage to help academic researchers interested in automated sign language recognition has just been released.

A new dataset of British Sign Language footage to help academic researchers interested in automated sign language recognition has just been released.