Multiclass brain-computer interface classification by Riemannian geometry

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 4, 2012, Pages 920-928

  Barachant, Alexandre ^a   Bonnet, Stéphane ^a   Congedo, Marco ^b   Jutten, Christian ^b  

^a CEA LETI   (France)

^b UNIV GRENOBLE ALPES   (France)

Author keywords

Brain computer interfaces; classification algorithms; covariance matrix; electroencephalography; information geometry

Indexed keywords

BRAIN-COMPUTER INTERFACES (BCI); CLASSIFICATION ALGORITHM; CLASSIFICATION ALGORITHMS; CLASSIFICATION FRAMEWORK; COMMON SPATIAL PATTERNS; COVARIANCE MATRICES; DATA SETS; EEG SIGNALS; ELECTROENCEPHALOGRAPHIES (EEG); EUCLIDEAN; INFORMATION GEOMETRY; LINEAR DISCRIMINANT ANALYSIS; MEAN CLASSIFICATION; MINIMUM DISTANCE; MOTOR IMAGERY; MULTI-CLASS; POSITIVE DEFINITE; REFERENCE METHOD; RIEMANNIAN DISTANCE; RIEMANNIAN GEOMETRY; SIMPLE METHOD; SPATIAL COVARIANCE; SPATIAL FILTERINGS; SPATIAL INFORMATIONS; TANGENT SPACE; VARIABLE SELECTION;

ALGORITHMS; COVARIANCE MATRIX; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; GEOMETRY;

BRAIN COMPUTER INTERFACE;

ARTICLE; BRAIN; BRAIN COMPUTER INTERFACE; CLASSIFICATION ALGORITHM; COMPUTER; ELECTROENCEPHALOGRAPHY; GEOMETRY; IMAGERY;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; IMAGINATION; MOTOR CORTEX; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 84858956849     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2172210     Document Type: Article

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