A New Mental Task Recognition Method Based on Kernel Fisher Discriminant Analysis
WU Xiao-pei · Computer Technology and Development · 2006
A new mental task recognition method based on kernel Fisher discriminant is proposed.The method is based on a non-linear mapping from input space to feature space using kernel function.Linear Fisher discriminant is used in feature space.KFDA-based mental task recognition method is tested and compared with FDA and non-linear SVM using the same EEG signals.Experiment results indicate that the performance of KFDA-based mental task recognition method is superior to the others.