Feature Extraction of EEG Patterns in Music Listening
| Accession number;04A0563450 |
| Title;Feature Extraction of EEG Patterns in Music Listening |
| Author;OGAWA TAKAHIRO(Univ. of Tokushima, Grad. Sch.) MITSUKURA YASUE(Okayama Univ., JPN) FUKUMI MINORU(Univ. of Tokushima, Grad. Sch.) AKAMATSU NORIO(Univ. of Tokushima, Grad. Sch.) |
Journal Title;IEIC Technical Report (Institute of Electronics, Information and Communication Engineers)
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Journal Code:S0532B
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ISSN:0913-5685
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VOL.104;NO.140(NC2004 28-42);PAGE.81-85(2004)
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| Figure&Table&Reference;FIG.10, TBL.1, REF.11 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;Recentry, various illnesses are caused by stress, and stress release is being carried out by music therapy. Music used in the music therapy is various, and it takes a long times for patient and music therapist to select the music. Generally time selecting a music will be reduced and the music therapy can be done more easily if an effective music for it is found. In this paper, we measure EEG and extract EEG difference between music genres as characteristic data. Our method makes data based on frequency appearance ratio, extract features by principal conponent analysis, and then analyze them by using a neural network. Finally the effectiveness of our method is demonstrated by means of computer simulations. (author abst.) |
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