01486nas a2200169 4500008004100000245005800041210005400099260000900153520094500162653003001107100002501137700001301162700001401175700002101189700001801210856008801228 2004 eng d00aAn Auditory Paradigm for Brain–Computer Interfaces.0 aAuditory Paradigm for Brain–Computer Interfaces c20043 a

 

Motivated by the particular problems involved in communicating with “locked-in” paralysed patients, we aim to develop a brain- computer interface that uses auditory stimuli. We describe a paradigm that allows a user to make a binary decision by focusing attention on one of two concurrent auditory stimulus sequences. Using Support Vector Machine classification and Recursive Chan- nel Elimination on the independent components of averaged event- related potentials, we show that an untrained user’s EEG data can be classified with an encouragingly high level of accuracy. This suggests that it is possible for users to modulate EEG signals in a single trial by the conscious direction of attention, well enough to be useful in BCI. 

10aBrain Computer Interfaces1 aHill, Jeremy, Jeremy1 aLal, T N1 aBierig, K1 aBirbaumer, Niels1 aSchölkopf, B uhttp://papers.nips.cc/paper/2551-an-auditory-paradigm-for-brain-computer-interfaces