| Presentation | 2018-01-26 The characteristics of the electroencephalogram related to the music preferences Takaaki Hayata, Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have developed the music players that can be operated using electroencephalogram (EEG). In the previous research [Tsuji et al., IEICE, 2017], they measured EEG while the participants were listening to music and while the participants were judging whether they like or dislike the music. As a result, EEG correlated with the music preferences was observed. In the previous research, EEG power was examined as the EEG features. In this study, we focused on the phase synchrony as the EEG features, and we clarified whether the synchrony between the recording electrodes is different dependent on the music preferences. The phase locking value (PLV) was used as the index of phase synchrony. As a result, 1) there were the significant differences of PLV in “like” and “dislike” preferences in the judging period. 2) While in some participants EEG powers were not different between “like” and “dislike” preferences, there were some pairs of electrodes which have the significant differences in PLV. 3) At the preference judging period, the pairs of electrodes which have the significant differences in PLV were seen in all frequency bands of EEG. 4) Among them, in PLV in the θ wave, there was a tendency in which when the participants judged the music as "like” the number of electrode pairs which have the significant difference in PLV decreased. From these results, it is suggested that the phase synchrony would be a better feature than EEG power for you to discriminate the music preferences. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Electroencephalogram / Music preference / Electroencephalogram Power / synchronization / Phase |
| Paper # | NLP2017-87 |
| Date of Issue | 2018-01-19 (NLP) |
| Conference Information | |
| Committee | MBE / NC / NLP |
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| Conference Date | 2018/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The characteristics of the electroencephalogram related to the music preferences |
| Sub Title (in English) | |
| Keyword(1) | Electroencephalogram |
| Keyword(2) | Music preference |
| Keyword(3) | Electroencephalogram Power |
| Keyword(4) | synchronization |
| Keyword(5) | Phase |
| 1st Author's Name | Takaaki Hayata |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Hirokazu Sadahisa |
| 2nd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 3rd Author's Name | Yuya Tsuji |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 4th Author's Name | Kiyohisa Natsume |
| 4th Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2018-01-26 |
| Paper # | NLP2017-87 |
| Volume (vol) | vol.117 |
| Number (no) | NLP-415 |
| Page | pp.pp.7-12(NLP), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (NLP) |