EEG Based Brain-Computer Interface System for Remote Vehicle Controlling
Brain Computer Interface (BCI) bridges human brain and computer. In this paper, we propose a real-time BCI system that enables subject to control remote vehicle by motor imagery. Multilinear generation of common spatial pattern analysis is introduced to extract high-order tensor EEG features. The general framework of BCI interfacing paradigm for remote vehicle control is then developed. To validate the performance of the developed model, both offline simulation and real-time experiment are given. The real-time experiment shows after a proper period of training, subjects can control the vehicle running along a designated path smoothly.
Han Sun Liqing Zhang Jie Li Qibing Zhao
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
695-700
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）