Sequential classification of mental tasks vs. idle state for EEG based BCIs

Results are presented from an ongoing investigation testing discrimination rates of six mental tasks against the idle state for brain computer-interfacing. An online sequential classification method is employed, results represent calculated feedback position during trial periods. Current classification rates suggest auditory imagery shows lower discrimination against the idle state. Results mirror previous work in which linear classification accuracy was maximised within a trial window.