Method for detecting music to match the user's mood in prefrontal cortex electroencephalogram activity based on individual characteristics

Shin Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Jianting Cao

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a method for detecting the music to match a user's mood in prefrontal cortex electroencephalogram (EEG) activity. The EEG frequencies analyzed are the components that contain significant and immaterial information. We focused on the combinations of the significant frequency. These frequency combinations are thought to express individual characteristics of EEG activity. In the proposed method, we calculate the percentage of the spectrum of these frequency combinations that does not include the noise frequency components and evaluates whether the music matches the user's mood through a simple threshold processing. Then, a genetic algorithm (GA) is used to specify the frequency of individual characteristics on the EEG. Threshold values that used the threshold processing is determined in the GA. Finally, the performance of the proposed method is evaluated using real EEG data.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
ページ2640-2644
ページ数5
DOI
出版ステータスPublished - 2007
外部発表はい
イベント2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
継続期間: 2007 10月 72007 10月 10

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(印刷版)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
国/地域Canada
CityMontreal, QC
Period07/10/707/10/10

ASJC Scopus subject areas

  • 工学一般

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