This hand-tracking algorithm could lead to sign language recognition

Millions of people communicate using sign language, but so far projects to capture its complex gestures and translate them to verbal speech have had limited success. A new advance in real-time hand tracking from Google's AI labs, however, could be the breakthrough some have been waiting for. "Whereas current state-of-the-art approaches rely primarily on powerful desktop environments for inference, our method achieves real-time performance on a mobile phone, and even scales to multiple hands," write Google researchers Valentin Bazarevsky and Fan Zhang in a blog post.