Research and Implementation of Adaptive Control Method Based on EEG

Abstract

The appearance of BCI (Brain-Computer Interface) [2] provides people with a new foreign exchange of information and control method. The project we studied is just the application of this technology. We use TGAM module, a dry electrode detecting weak EEG from brain and making result of attention, meditation and so on, to design our car control system. Based on numerical analysis and researches about the raw EEG signals and attention, we propose an adaptive EEG processing algorithm to design the car by a complete set of control scheme. Finally, we test the system and get a good result that the car moves under the control as we expected.