Research of Brain-computer Interface System Based on Motor Imagery
From the perspective of signal processing,This paper set forth the technology principle of the brain-computer interface based on motor imagery and study the EEG signal processing methods of brain-computer interface based on motor imagery.This system is the use of NT9200 electroencephalography to acquisition the EEG of motor imagery.The BCI experiment system based on motor imagery EEG was established on LabVIEW platform.Using elliptic filter to signal preprocessing,using FFT to extract the characteristic value of motor imagery EEG,using Fisher linear discriminative classifier to signal characteristic value for effective pattern classification,and ultimately converted the classification results to control commands so that to realize the requirements of human-computer interaction.Through a large number of experiments,the average ratio of this system for motor imagery EEG is higher than 83%.It proved that this system is feasible and has a high application value.
BCI motor imagery ERS/ERD LabVIEW platform
Li Zhao Yong Sun Yanzhen Ma Xuhong Guo Yang He Xin Gao
Tianjin Key Laboratory of Informational Sensing & Intelligent Control,Tianjin University of Technology and Education, Tianjin, China
国际会议
天津
英文
567-571
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）