(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 ...

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 ...

This article presents the 4th part of the HMI application series, which is controlling systems using low-cost gesture recognition technology. This article presents the 4th part of the HMI application ...

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 ...

Arduino 20th anniversary projects at the University of Padua include a gesture-control car, solar IoT monitor, and BLE swim ...