Reza Tafreshi

Prediction of Exoskeleton-Induced Upper-Limb Movement Intention from Electromyography Signals Using Convolutional Neural Networks

Surface electromyography (EMG) provides a non-invasive interface for decoding human motor intent and has been widely studied for rehabilitation and assistive robotics; however, reliable upper-limb motion intent classification remains challenging in rehabilitation scenarios, particularly for exoskeleton-guided movements...