Review of latest noninvasive EEG-based robotic devices

Abstract

In recent years, intelligent external devices (such as mobile robots, wheelchairs, and robotic arm exoskeletons) driven by brain computer interfaces (BCIs) have increasingly appeared in people's field of vision and have gradually expanded from helping end users with disabilities to assist normal human beings. This review focuses on the comparison of latest brain-device interaction methods and common control strategies based on 22 published representative studies in IEEE during the last 5 years. Corresponding approaches of electroencephalography (EEG) signal preprocessing, feature extraction, and classification are summarized. Moreover, the review concludes the challenges and the future directions of current brain-controlled intelligent devices.