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

fYear

2009

fDate

April 29 2009-May 2 2009

Firstpage

351

Lastpage

354

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NER.2009.5109305

Filename

5109305