(Nanowerk Spotlight) Hand gestures have become a natural way to communicate with digital systems, but making machines understand those gestures with precision remains a technical challenge. While ...

Recent progress in camera systems, image analysis, and machine learning have made optical-based gesture recognition a more attractive option in most contexts. However, current methods are hindered by ...

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 ...

Instructors and students can give more visible feedback through live gestures by using new raise hand and thumbs-up 👍 gesture recognition. This feature will automatically display a corresponding ...