Abstract

The wireless brain–computer interface (BCI) system can become as powerful aids for people with disability (PWD), especially to help them move independently. The BCI system captures the user’s brain activity and classifies into a signal to which a robot or a computer device can respond. In this article, a review of various electrodes for capturing the electroencephalogram (EEG) signals, key techniques, and their applications of wireless BCI headset along with future development issues proposed by many researchers have been discussed. The central idea is a study on the brain rhythm related to the user’smovements for the control of mobile robots, humanoids, and robotic wheelchair. The BCI system is capable of improving and enriching the lives of PWD and people with neuromuscular disorder and bringing back the quality of free movement for PWD.

Key words: Electroencephalogram (EEG); Brain–Computer Interface (BCI); wireless BCI headsets