Title :
Sequential classification of mental tasks vs. idle state for EEG based BCIs
Author :
Dyson, Matthew ; Sepulveda, Francisco ; Gan, John Q. ; Roberts, Stephen J.
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fDate :
April 29 2009-May 2 2009
Abstract :
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.
Keywords :
brain-computer interfaces; electroencephalography; medical signal processing; neurophysiology; signal classification; EEG based BCI; auditory imagery; brain computer-interfacing; linear classification accuracy; mental task; online sequential classification method; Arithmetic; Communication system control; Computer science; Electroencephalography; Gallium nitride; Machine learning; Navigation; Neural engineering; Pattern analysis; Visualization;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109305
