Frequency recognition in ssvep-based BCI using multiset canonical correlation analysis

International Journal of Neural Systems

Volumn 24, Issue 4, 2014, Pages

  Zhang, Yu ^a   Zhou, Guoxu ^b   Jin, Jing ^a   Wang, Xingyu ^a   Cichocki, Andrzej ^b,c  

^a China   (China)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Brain computer interface (BCI); electroencephalogram (EEG); multiset canonical correlation analysis (MsetCCA); steady state visual evoked potential (SSVEP)

Indexed keywords

ELECTROENCEPHALOGRAPHY; INTERFACES (COMPUTER); MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; SIGNAL PROCESSING;

BRAIN COMPUTER INTERFACES (BCIS); CANONICAL CORRELATION ANALYSIS; ELECTRO-ENCEPHALOGRAM (EEG); MULTISET CANONICAL CORRELATION ANALYSIS; POTENTIAL PROBLEMS; RECOGNITION ACCURACY; SPATIAL FILTERINGS; STEADY-STATE VISUAL EVOKED POTENTIALS;

BRAIN COMPUTER INTERFACE;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN COMPUTER INTERFACE; BRAIN MAPPING; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; MALE; PHOTOSTIMULATION; PHYSIOLOGY; RECOGNITION; YOUNG ADULT;

ADULT; ALGORITHMS; BRAIN; BRAIN MAPPING; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; PHOTIC STIMULATION; RECOGNITION (PSYCHOLOGY); USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 84897999975     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065714500130     Document Type: Article

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