Design and development of EEG controlled mobile robots

Many research activities have taken place in the field of brain computer interface based on EEG signal. The main aim of this paper is to give a good potential for disabled people where driving is impossible task for them. This can be achieved mainly by four steps i.e signal acquisition, signal preprocessing, feature extraction and classification using MATLAB. For feature extraction DWT method and for classification SVM classifier is used. After the classification the commands are executed on Arduino board (model UNO R3). The experimental result showed that the robot can be controlled successfully.