A Control Approach of Unmanned Vehicle Driven by BCI

Xiaodong Zhang, Chen He, Yutao Yang, and Binghui Jia

Keywords

unmanned vehicle, BCI, EEG, Pattern Recognition

Abstract

There are some disadvantages for the traditional unmanned driving control technology, such as the individual differences, the randomness and the hysteresis. In order to solve these problems, a control approach of unmanned vehicle driven by BCI is proposed and investigated in this paper. The control system of the unmanned vehicle driven by BCI is designed, and then the 2-channel EEG acquisition system is set up based on C3 and C4, the pattern recognition method of EEG is investigated, the serial communication interface is developed between BCI and unmanned vehicle. At last, the experiment results show that the designed control system of the unmanned vehicle driven by BCI is reasonable and technically feasible.

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