资讯
New tech translates American Sign Language gestures into text in real time using deep learning and hand tracking.
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 ...
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 ...
This smart machine translation tech is capable of turning sign language into text, and text into sign language, automatically.
That data could also enable Nvidia to develop new ASL-related products down the road — for example, to improve sign recognition in video-conferencing software or gesture control in cars.
Jina Kang, Morgan Diederich, Robb Lindgren, Michael Junokas, Gesture Patterns and Learning in an Embodied XR Science Simulation, Educational Technology & Society, Vol. 24, No. 2 (April 2021), pp.
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