| Presentation | 2023-03-15 Comparison of classification accuracy by frequency band restriction on emotion recognition from EEG Raiki Yamane, Shin'ichiro Kanoh, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Accuracy of emotion classification in deep learning when frequency band restriction is used as a preprocessing method for EEG was compared. In the experiment, EEG and questionnaires describing the emotional states (arousal, valence) were recorded when the subjects watched the film, and the emotional states were classified by deep learning model. As a result of this study, we achieved a 3-class classification accuracy of 85.1% for arousal and 84.31% for valence when only the γ-wave band was selected. This result shows that the classification accuracy is greatly improved by focusing on the γ-wave band for classification. Experiments on mixed emotions were also conducted to investigate methods for identifying mixed emotions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Emotion Recognition / EEG / Preprocessing / Deep learning / Mixed emotions / Emotion induction |
| Paper # | NC2022-115 |
| Date of Issue | 2023-03-06 (NC) |
| Conference Information | |
| Committee | NC / MBE |
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| Conference Date | 2023/3/13(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Univ. of Electro-Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Brain architecture, General |
| Chair | Hiroshi Yamakawa(Univ of Tokyo) / Junichi Hori(Niigata Univ.) |
| Vice Chair | Hirokazu Tanaka(Tokyo City Univ.) / Hisashi Yoshida(Kinki Univ.) |
| Secretary | Hirokazu Tanaka(NTT) / Hisashi Yoshida(NICT) |
| Assistant | Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) / Emi Yuda(Tohoku Univ) / Miki Kaneko(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of classification accuracy by frequency band restriction on emotion recognition from EEG |
| Sub Title (in English) | |
| Keyword(1) | Emotion Recognition |
| Keyword(2) | EEG |
| Keyword(3) | Preprocessing |
| Keyword(4) | Deep learning |
| Keyword(5) | Mixed emotions |
| Keyword(6) | Emotion induction |
| 1st Author's Name | Raiki Yamane |
| 1st Author's Affiliation | Shibaura Institute of Technology(SIT) |
| 2nd Author's Name | Shin'ichiro Kanoh |
| 2nd Author's Affiliation | Shibaura Institute of Technology(SIT) |
| Date | 2023-03-15 |
| Paper # | NC2022-115 |
| Volume (vol) | vol.122 |
| Number (no) | NC-425 |
| Page | pp.pp.127-132(NC), |
| #Pages | 6 |
| Date of Issue | 2023-03-06 (NC) |