A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks

Shin ichi Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Recently in the world, the research of the electroencephalogram (EEG) interface is done, because it has the possibility to realize an interface that can be operated without special knowledge and technology by using the EEG as a means of the interface. As one of the EEG interface, as for a goal for the final of this research, the EEG control system by any music is constructed. However, the EEG control by music is very difficult because it does not know the music and the causal relation of the EEG clearly. Therefore, the EEG analysis and music analysis is absolutely imperative in this system. In this paper, the EEG analysis method by using the FA and the NN is proposed. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating extracted the characteristics data of the EEG. Moreover teacher signal data of the NN uses the data of the characteristics data of the music. The characteristics data of music is extracted by using the Bark scale analysis. Finally, in order to show the effectiveness of the proposed method, classifying the EEG pattern is done computer simulations. The EEG pattern is 4 conditions, which are listening to Rock music, Schmaltzy Japanese ballad music, Healing music, and Classical music.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Pages2263-2267
Number of pages5
Volume3
Publication statusPublished - 2003
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 2003 Jul 202003 Jul 24

Other

OtherInternational Joint Conference on Neural Networks 2003
CountryUnited States
CityPortland, OR
Period03/7/2003/7/24

Fingerprint

Factor analysis
Electroencephalography
Feature extraction
Neural networks
Rocks
Control systems

ASJC Scopus subject areas

  • Software

Cite this

Ito, S. I., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2003). A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks. In Proceedings of the International Joint Conference on Neural Networks (Vol. 3, pp. 2263-2267)

A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks. / Ito, Shin ichi; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

Proceedings of the International Joint Conference on Neural Networks. Vol. 3 2003. p. 2263-2267.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, SI, Mitsukura, Y, Fukumi, M & Akamatsu, N 2003, A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks. in Proceedings of the International Joint Conference on Neural Networks. vol. 3, pp. 2263-2267, International Joint Conference on Neural Networks 2003, Portland, OR, United States, 03/7/20.
Ito SI, Mitsukura Y, Fukumi M, Akamatsu N. A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks. In Proceedings of the International Joint Conference on Neural Networks. Vol. 3. 2003. p. 2263-2267
Ito, Shin ichi ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / A Feature Extraction of the EEG during Listening to the Music Using the Factor Analysis and Neural Networks. Proceedings of the International Joint Conference on Neural Networks. Vol. 3 2003. pp. 2263-2267
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