Generation of Electroencephalography Recognition Patterns via Genetic Algorithm

Generation of Electroencephalography Recognition Patterns via Genetic Algorithm

This paper describes generation of electroencephalography recognition patterns via genetic algorithm. We develop a simpler procedure for generating recognition patterns from an applicability point of view. The technique is time domain analysis based on correlation of electroencephalography data. As...

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Veröffentlicht in:Keisoku Jidō Seigyo Gakkai ronbunshū 2002/12/31, Vol.38(12), pp.1041-1043
Hauptverfasser: HORI, Shigeki, KANAMORI, Naoki, TANAKA, Kazuo
Format: Artikel
Sprache:eng
Schlagworte:
Electroencephalography recognition patterns
Genetic algorithm
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Zusammenfassung:This paper describes generation of electroencephalography recognition patterns via genetic algorithm. We develop a simpler procedure for generating recognition patterns from an applicability point of view. The technique is time domain analysis based on correlation of electroencephalography data. As an analytical result through experiments, it realizes electroencephalography recognition with 68.2% success rate for unknown data.
ISSN:0453-4654
1883-8189
DOI:10.9746/sicetr1965.38.1041