Intelligent wheelchair human-machine interaction using α/β wave of EEG

On the basis of intelligent wheelchairs controlled by signals from EEG (electroencephalograph), a human-machine interaction for intelligent wheelchair was presented based on the α/β wave form EEG.The intelligent wheelchair was controlled forward by the α wave of closing eyes EEG signals and was controlled left turn and right turn by the β wave left-right hands motor imagery EEG signals.Meanwhile, A RCSP (regularizing common spatial pattern) algorithm with penalty was also presented.It is verified experimentally that the average accuracies which the subjects control intelligent wheelchair, or the recognition rates of three kinds of EEG signals are more than 85%, and the maximum accuracy reaches as high as 89.17%, closing to the recognition rate by using the traditional methods for two kinds of motor imagery EEG signals.Finally, the experiment controlling intelligent wheelchair off a fixed trajectory with 8 glyph was operated by the subjects.The experiment results show that each subject can finish the experiment task, further showing that the interactive method is feasible.