Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Abstract Purpose of Review To summarize the state of the art of robotic systems in
agriculture through the prism of a wide range of reflections associated with health, safety …

Gesture recognition based on wearable devices is one of the vital components of human–
computer interaction systems. Compared with skeleton-based recognition in computer …

Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and
inertial measurement unit signals (IMUs) have been studied for different applications in …

Recently, human–machine interfaces (HMI) that make life convenient have been studied in
many fields. In particular, a hand gesture recognition (HGR) system, which can be …

In recent years, hand gesture recognition (HGR) technologies that use electromyography
(EMG) signals have been of considerable interest in developing human–machine interfaces …

The effort, focus, and time to collect data and train EMG pattern recognition systems is one of
the largest barriers to their widespread adoption in commercial applications. In addition to …

Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one
of the most relevant research topics in the human–machine interfaces field in recent years …

Variation in the electromyogram pattern recognition (EMG-PR) performance with the muscle
contraction force is a key limitation of the available prosthetic hand. To alleviate this …

Abstract Hand Gesture Recognition (HGR) using electromyography (EMG) signals is a
challenging problem due to the variability and noise in the signals across individuals. This …