Classification of the Direction Perceived EEG Based on ICA-F-Score Approach

An experiment was designed to record the electroencephalography, when people caught the vision of different directional moving. Independent components analysis was used to analyze the EEG signal. The selection of independent component has received a great deal of attention in the field of signal processing and image processing. Here, F-score of multisets was used to select the valuable independent components. The analysis result showed that separable features could be obtained when people had different directional perception.