Multi-class stationary CSP for optimal feature separation of brain source in BCI system

International Conference on Control, Automation and Systems

Volumn , Issue , 2012, Pages 1035-1039

  Nguyen, Thanh Ha ^a   Park, Seung Min ^a   Ko, Kwang Eun ^a   Sim, Kwee Bo ^a  

^a Chung Ang University   (South Korea)

Author keywords

Brain computer interface (BCI); Common Spatial Patterns (CSP); Electroencephalogram (EEG); Joint Approximate diagonalization (JAD)

Indexed keywords

BRAIN ACTIVATION; BRAIN REGIONS; BRAIN SIGNALS; BRAIN-COMPUTER INTERFACES (BCI); COMMON SPATIAL PATTERNS; COVARIANCE MATRICES; DATA SETS; DATA SPACE; EEG SIGNALS; FEATURE SEPARATION; JOINT APPROXIMATE DIAGONALIZATION; MULTI-CLASS; MULTI-CLASS BCI; NEAREST NEIGHBOR METHOD; NON-STATIONARY SOURCES; NONSTATIONARY; SIGNAL SOURCE; SPATIAL FILTERS;

BRAIN; CHEMICAL ACTIVATION; COVARIANCE MATRIX; ELECTROENCEPHALOGRAPHY; JOINTS (ANATOMY); NEUROIMAGING; SEPARATION;

BRAIN COMPUTER INTERFACE;

EID: 84872529405     PISSN: 15987833     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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