Editorial: EMG/EEG Signals-Based Control of Assistive and Rehabilitation Robots

Abstract

These robots make the life of a physically weak person more comfortable and useful to society. They sense, process sensory information, and execute actions that are helpful to the disabled person. Similarly, these robots carry out rehabilitation by understanding and augmenting the rehabilitation process through a robotic system. These robots are expected to assist different sensorimotor functions, therapeutic training, and assessment of the sensorimotor performance of the patients. Assistive and rehabilitation robotic technologies have developed rapidly expanding the horizon of the field of robotics. These technologies are vital in the society in which around one billion among the growing global population experience some form of physical disability impacting everyday life. Assistive and rehabilitation robotic research, especially exoskeleton robotic research integrates advanced mechatronics and intelligent sensing to restore weak sensorimotor functions. Controlling these robots according to the requirement is one of the challenging tasks. Electromyography (EMG) signals have extensively been used to control assistive robots such as exoskeleton robots so that the wearer is free of actuating any additional device to control the robot. Additionally, many studies have been carried out recently to investigate the possibility of using