One class SVM and canonical correlation analysis increase performance in a c-VEP based brain-computer interface (BCI)

ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Volumn , Issue , 2012, Pages 103-108

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

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BRAIN; C (PROGRAMMING LANGUAGE); CORRELATION METHODS; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER); LEARNING SYSTEMS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

BRAIN ACTIVITY; CANONICAL CORRELATION ANALYSIS; HIGH PERFORMANCE COMMUNICATION; MUSCLE CONTROLS; ONE-CLASS SUPPORT VECTOR MACHINES (OCSVM); OPTIMAL SPATIAL FILTER; PROOF OF CONCEPT; VISUAL EVOKED POTENTIAL;

BRAIN COMPUTER INTERFACE;

EID: 84870862844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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