Pattern Classification of Electroencephalography from the Typical Specialized Students

In this paper, we designed eight different mental tasks based on logical-mathematical intelligence, spatial intelligence and bodily-kinesthetic intelligence. Eleven students from three professional fields were selected. When they imaged these eight mental tasks, their EEG signal were acquired. First, we extracted the frequency band feature of ¿, ¿, ¿, ß from the EEG. Then SVM alrothm was used to classify and select the features. The experiment pointed that the mental imagine EEG of people from three different domain can be obviously classified.