Adaptation in P300 braincomputer interfaces: A two-classifier cotraining approach

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 12, 2010, Pages 2927-2935

  Panicker, Rajesh C ^a   Puthusserypady, Sadasivan ^b   Sun, Ying ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Brain computer interface (BCI); cotraining; EEG; P300; semisupervised learning

Indexed keywords

BAYESIAN; BIT RATES; CO-TRAINING; CROSS-VALIDATIONS; EEG; LABELED DATA; LINEAR DISCRIMINANT ANALYSIS; OPERATIONAL CHARACTERISTICS; P300; PERFORMANCE IMPROVEMENTS; SELF-TRAINING; SEMI-SUPERVISED LEARNING; SUPERVISED CLASSIFICATION; TRAINING DATA; UNLABELED DATA;

CLASSIFIERS; DISCRIMINANT ANALYSIS; INTERFACES (COMPUTER); LEARNING ALGORITHMS; TEACHING;

BRAIN COMPUTER INTERFACE;

ADAPTATION; ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFIER; DISCRIMINANT ANALYSIS; EVENT RELATED POTENTIAL; FEMALE; HUMAN; HUMAN EXPERIMENT; MACHINE LEARNING; MALE; NORMAL HUMAN; PERFORMANCE; VALIDATION PROCESS; ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; MAN MACHINE INTERACTION; METHODOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MAN-MACHINE SYSTEMS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 78649293868     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2058804     Document Type: Article

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