The EEG feature extraction method of listening to music using the genetic algorithms and the latency structure model

Proceedings of the SICE Annual Conference

Volumn , Issue , 2007, Pages 2823-2826

  Ito, Shin Ichi ^a   Mitsukura, Yasue ^a   Miyamura, Hiroko Nakamura ^a   Saito, Takafumi ^a   Fukumi, Minoru ^b  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

Electroencephalogram; Genetic algorithms; Personal features; Visualization

Indexed keywords

ALGORITHMS; DIESEL ENGINES; ELECTROENCEPHALOGRAPHY; GENETIC ALGORITHMS; IMAGE RETRIEVAL; VECTORS;

ANNUAL CONFERENCE; BASIC CHARACTERISTICS; CONTROL ENGINEERS; EEG DATA; EEG FREQUENCY COMPONENTS; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAM (EEG); EXTRACTION METHODS; FEATURE VECTOR; FREQUENCY COMPONENTS; HUMAN BEINGS; PERSONAL FEATURES; REAL-CODED GENETIC ALGORITHM; SIMPLE GENETIC ALGORITHM; STRUCTURE MODELING; VISUALIZATION;

FEATURE EXTRACTION;

EID: 50249166654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SICE.2007.4421469     Document Type: Conference Paper

References (3)

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2. S. Ito, Y. Mitsukura, M. Fukumi, and N. Akamatsu,"Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG," T.IEE Japan, Vol.124-C, No.5, pp.1259-1266, 2004.
3. K. Yamamoto, T. Yoshikawa, and T. Furahashi, "A Proposal of Visualization Method for Multi-Dimensional Data using Fuzzy Clustering Based on Multiple Discriminant Analysis," IEICE Japan, Vol.J88-D-II, No.6, pp.975-984, 2004.