Accurate hand gesture prediction is crucial for effective upper-limb prosthetic limbs control.
As the high flexibility and multiple degrees of freedom exhibited by human hands, there has …

The ability to recognize fine-grained gestures enables several applications in different
domains, including healthcare, robotics, remote control, and human-computer interaction …

Theories on the neural control of movement are largely based on movement-sensing
devices that capture the dynamics of predefined anatomical landmarks. Neuromuscular …

With the rapid development of the Internet of Things (IoT), a massive number of smart
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …

Given the recent surge of significant interest in implementing intelligent hand gesture
recognition methods in human-machine interface systems, a wide variety of Deep Neural …

Hand gesture recognition (HGR) based on high-density surface electromyography (HD-
sEMG) signals and the hybrid model of convolutional neural network (CNN) and graph …

Hand Gesture Recognition (HGR) using surface Electromyogram (sEMG) signals can be
considered as one of the most important technologies in making efficient Human Machine …