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 ...

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 ...

Apple has filed for a patent (number 20210142214) for “machine-learning based gesture recognition using multiple sensors.” Among other things, it involves a gesture-based user interface for the Mac ...

Move a thumb to unlock a car door. Self-check-in at an airport without touching the kiosk. These are no longer scenes in the movies but what technology is capable of nowadays. Motion Gestures, a ...