Feature extraction in listening to music using statistical analysis of the EEG

Takahiro Ogawa, Stephen Karungaru, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

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

6 Citations (Scopus)

Abstract

In order to solve stress problems, researchers have studied healing, especially the music therapy. It is mentioned that objective evaluation of the music therapy is an important assignment, and some researchers have tried objective measurement based on physiological change. In this paper, the purpose is extraction of features that may be influenced by the music. We pay attention to EEG (electroencephalogram) as an objective and absolute scale. This paper proposes a method that extracts features of the EEG by the CDA(canonical discriminant analysis. From the result of the experiment, it is suggested that the CDA extracts the features influenced by the individual and the music type.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages5120-5123
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Fingerprint

Electroencephalography
Feature extraction
Statistical methods
Discriminant analysis
Experiments

Keywords

  • Music therapy
  • The canonical variate analysis
  • The EEG

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ogawa, T., Karungaru, S., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2006). Feature extraction in listening to music using statistical analysis of the EEG. In 2006 SICE-ICASE International Joint Conference (pp. 5120-5123). [4108692] https://doi.org/10.1109/SICE.2006.315382

Feature extraction in listening to music using statistical analysis of the EEG. / Ogawa, Takahiro; Karungaru, Stephen; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

2006 SICE-ICASE International Joint Conference. 2006. p. 5120-5123 4108692.

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

Ogawa, T, Karungaru, S, Mitsukura, Y, Fukumi, M & Akamatsu, N 2006, Feature extraction in listening to music using statistical analysis of the EEG. in 2006 SICE-ICASE International Joint Conference., 4108692, pp. 5120-5123, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.315382
Ogawa T, Karungaru S, Mitsukura Y, Fukumi M, Akamatsu N. Feature extraction in listening to music using statistical analysis of the EEG. In 2006 SICE-ICASE International Joint Conference. 2006. p. 5120-5123. 4108692 https://doi.org/10.1109/SICE.2006.315382
Ogawa, Takahiro ; Karungaru, Stephen ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / Feature extraction in listening to music using statistical analysis of the EEG. 2006 SICE-ICASE International Joint Conference. 2006. pp. 5120-5123
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