Li Yuanqing, Long Jinyi, Yu Tianyou, Yu Zhuliang, Wang Chuanchu, Zhang Haihong, Guan Cuntai
School of Automation Science and Engineering, South China University of Technology, 510640, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4205-8. doi: 10.1109/IEMBS.2010.5627394.
In this paper, a hybrid EEG-based brain computer interface (BCI) is designed for two-dimensional cursor control. In our approach, two brain activity patterns, i.e., motor imagery and P300 potential, are used for controlling the horizontal and the vertical movements of the cursor respectively. A real-time BCI system based on this approach is implemented and evaluated through an online experiment. Six subjects attending this experiment can perform 2-D cursor control effectively. Our experimental results show that the system has the following merits compared with prior systems: 1) it does not rely on intensive user training; 2) it allows cursor movement between arbitrary positions.
