Two-layer hidden Markov models for multi-class motor imagery classification

Proceedings - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, WBD 2010 - In Conjunction with theInternational Conference on Pattern Recognition, ICPR 2010

Volumn , Issue , 2010, Pages 5-8

  Suk, Heung Il ^a   Lee, Seong Whan ^a  

^a Korea University   (South Korea)

Author keywords

Brain Computer Interface (BCI); Electroencephalography (EGG); Hidden Markov models (HMMs); Motor imagery classification

Indexed keywords

CURSE OF DIMENSIONALITY; DATA SETS; EEG PATTERN; EEG SIGNALS; HIGH DIMENSIONAL SPACES; MOTOR IMAGERY CLASSIFICATION; MOTOR IMAGERY TASKS; MULTI-CLASS; MULTIPLE ELECTRODES; PROBABILISTIC CLASSIFICATION; SESSION TRANSFER; TRAINING DATASET; TWO LAYERS;

BRAIN MODELS; DECODING; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; HIDDEN MARKOV MODELS; INTERFACES (COMPUTER); PATTERN RECOGNITION; TECHNICAL PRESENTATIONS;

BRAIN COMPUTER INTERFACE;

EID: 78049502454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WBD.2010.16     Document Type: Conference Paper

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