The Wifi-car Control System Based On Brain Computer Interface

Brain-Computer Interface(BCI)is a communication system that is not dependent on the normal peripheral nerve and muscle composition.It is a direct connection paths between a human or animal brain and the external device.With the development of brain-computer interface technology,its application is also expanding to other areas,in addition to the original use outside the auxiliary motion in people with disabilities,in the military,robot,brain cognitive,entertains,etc.,brain-computer interface technology also has great application prospect.For EEG signal processing technology is still at the laboratory stage,EEG interpretation by any human subjective intent is not yet realized.In order to improve the accuracy and speed of BCI system,the acquisition and processing method of BCI system was studied in this thesis.And Wifi-car system based on BCI was implemented on it.To the wireless remote control car system based on brain-computer interface,In acquisition method,at first,the paper chose the SSVEP as the Research Object and studied the design of visual stimuli module,based on a detailed comparison of LCD and LED visual stimulation paradigm by spectrum purity,frequency discrimination,spectrum precision,flexibility frequency and classification accuracy,then determined FPGA-based LED visual stimulus.In signal detection,this paper studied the feature extraction based on cycle convolution programs and compared with canonical correlation analysis.Thereafter,in order to further improve the recognition accuracy of SSVEP signal,the paper continued to study the super-resolution spectrum analysis method to do the correlation analysis based on MUSIC method.Thereby further improving the recognition rate SSVEP signal,making the high SSVEP online precision processing possible.At the same time,a detailed discussion of the impact of selected classification scheme for classification results,then finally realized SSVEP valid signal classification,and classification accuracy of the 4 frequencies SSVEP offline analysis can reach 94%.And finally established this system with both hardware and software.The test results showed that the design of the Wifi-car control system based on BCI can effectively control the wireless car,and online processing accuracy up to 87.5% on average.Through the Wifi-car control system based on brain-computer interface designed in this paper,subjects control the wireless car by adjusting their distribution of the attention and put the car through an obstacle.