A BCI-based Car Control System with Video Feedback
We propose a real-time car control system which is controlled by BCI commands. In the system, we develop an algorithm to analyze the EEG signals and extract features in frequency-domain with proper window. It can classify two states of motor imaginary with higher accuracy in BCI module. The system contains wireless communication, video feedback, and driver module. The wireless communication transfers both BCI commands and video, the subjects make corresponding response by watching the video feedback. The results of the experiments show that the proposed real-time car controlling system has a good performance both in terms of accuracy and robustness.
Wanzeng Kong Wuyue Zhao Sanqing Hu Jianhai Zhang Qiangqiang Tian Kai Guo Xinxin Zhao
College of Computer Science, Hangzhou Dianzi University, Hangzhou
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-4
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）