TY - GEN
T1 - Unsupervîsed training of brain-computer interface systems using exnectation maximization
AU - Speier, William
AU - Knall, Jennifer
AU - Pouratian, Nader
PY - 2013
Y1 - 2013
N2 - The P300 speller is a brain-computer interface (BCI) system designed to communicate language by presenting language stimuli and detecting event related potentials in a subject's electroencephalogram (EEG) signal. The target patient population is prone to fatigue, so reducing or removing this training step could increase the amount of time available to the subject for actual BCI use. We present an expectation maximization approach that trains the classifier in an unsupervised manner. A general classifier is created from a set of multiple subjects and it is then refined using the subject's unlabeled data and knowledge from the language domain. The method was tested offline on a data set of 15 healthy subjects and achieved similar performance to fully supervised methods for all subjects. This suggests that this method could be used in the place of the training step for BCI systems.
AB - The P300 speller is a brain-computer interface (BCI) system designed to communicate language by presenting language stimuli and detecting event related potentials in a subject's electroencephalogram (EEG) signal. The target patient population is prone to fatigue, so reducing or removing this training step could increase the amount of time available to the subject for actual BCI use. We present an expectation maximization approach that trains the classifier in an unsupervised manner. A general classifier is created from a set of multiple subjects and it is then refined using the subject's unlabeled data and knowledge from the language domain. The method was tested offline on a data set of 15 healthy subjects and achieved similar performance to fully supervised methods for all subjects. This suggests that this method could be used in the place of the training step for BCI systems.
UR - http://www.scopus.com/inward/record.url?scp=84897696052&partnerID=8YFLogxK
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U2 - 10.1109/NER.2013.6696032
DO - 10.1109/NER.2013.6696032
M3 - Conference contribution
AN - SCOPUS:84897696052
SN - 9781467319690
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 707
EP - 710
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
T2 - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Y2 - 6 November 2013 through 8 November 2013
ER -