Adaptive SVM-based classification increases performance of a MEG-based Brain-Computer Interface (BCI)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7552 LNCS, Issue PART 1, 2012, Pages 669-676

  Spüler, Martin ^a   Rosenstiel, Wolfgang ^a   Bogdan, Martin ^a,b  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

adaptive control; Brain Computer interface (BCI); Support Vector Machine (SVM)

Indexed keywords

ADAPTIVE CLASSIFIERS; ADAPTIVE CONTROL; BRAIN-COMPUTER INTERFACES (BCI); NON-STATIONARITIES; OFFLINE; ONLINE EXPERIMENT; TRAINING DATA;

CLASSIFICATION (OF INFORMATION); INTERFACES (COMPUTER); NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

BRAIN COMPUTER INTERFACE;

EID: 84867688282     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33269-2_84     Document Type: Conference Paper

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