Multiway canonical correlation analysis for frequency components recognition in SSVEP-based BCIs

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

Volumn 7062 LNCS, Issue PART 1, 2011, Pages 287-295

  Zhang, Yu ^a,b   Zhou, Guoxu ^a   Zhao, Qibin ^a   Onishi, Akinari ^a,c   Jin, Jing ^b   Wang, Xingyu ^b   Cichocki, Andrzej ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Brain computer interface (BCI); Canonical Correlation Analysis (CCA); Electroencephalogram (EEG); Steady State Visual Evoked Potential (SSVEP); Tensor Decomposition

Indexed keywords

BRAIN-COMPUTER INTERFACE (BCI); CANONICAL CORRELATION ANALYSIS; ELECTROENCEPHALOGRAM (EEG); STEADY-STATE VISUAL EVOKED POTENTIALS; TENSOR DECOMPOSITION;

DATA PROCESSING; ELECTROENCEPHALOGRAPHY; INTERFACES (COMPUTER); LINEAR REGRESSION; POWER SPECTRAL DENSITY; SIGNAL PROCESSING; SPECTRAL DENSITY; TENSORS;

BRAIN COMPUTER INTERFACE;

EID: 81855190864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24955-6_35     Document Type: Conference Paper

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