The recorded HD-sEMG are decomposed into channel-wise CSTs, transformed into cwCST-image according to the channel distribution, and decoded to different gestures by CNN-based model. The CSTs in each ...

Imagine a language tutor who is always on, available anytime to teach new vocabulary or check up on a student’s progress. On Thursday, Nvidia launched a language learning platform using artificial ...

The research paper, published in the journal Cyborg and Bionic Systems, leverage a custom convolutional neural network (CNN) to extract both local and global features for classifying hand gestures, by ...

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 ...

D.I.T.U Technologies is a deep-tech startup building gesture recognition wearables for sign language users. Founded by an IIT Hyderabad alumnus, the startup addresses India's communication gap for the ...