| Presentation | 2017-05-26 Frequency Filter Networks on EEG Data for Emotion Analysis Miku Yanagimoto, Chika Sugimoto, Tomoharu Nagao, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In EEG-based emotion recognition (EEG-ER), enhancing feature extractors is often difficult. In such cases, the use of deep neural networks which are capable of classification and recognition by the input of raw data is desirable. Therefore, effective components and models of neural networks for EEG-based recognition must be proposed. This paper proposes a discrete Fourier transform (DFT) layer, inverse DFT (IDFT) layer, and other components to compose a frequency filter module. This module was proposed for embedding a bandpass filter suitable for EEG data and the targets. The proposed models were compared with their counterparts and state-of-the-art models, and evaluated according to their accuracies for emotion recognition. The results showed that the frequency filter module is effective in preprocessing or interpreting some features in EEG with a characteristic in frequency domain. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural networks / deep learning / Fourier transform / EEG / emotions |
| Paper # | NC2017-4 |
| Date of Issue | 2017-05-19 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/5/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toyama Prefectural Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yutaka Fukuoka(Kogakuin Univ.) / Masafumi Hagiwara(Keio Univ.) |
| Vice Chair | Kazuki Nakajima(Univ. of Toyama) / Yutaka Hirata(Chubu Univ.) |
| Secretary | Kazuki Nakajima(Kogakuin Univ.) / Yutaka Hirata(Toyama Pref. Univ.) |
| Assistant | Ryota Horie(Shibaura Inst. of Tech.) / Kim Juhyon(Univ. of Toyama) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Frequency Filter Networks on EEG Data for Emotion Analysis |
| Sub Title (in English) | |
| Keyword(1) | neural networks |
| Keyword(2) | deep learning |
| Keyword(3) | Fourier transform |
| Keyword(4) | EEG |
| Keyword(5) | emotions |
| 1st Author's Name | Miku Yanagimoto |
| 1st Author's Affiliation | Yokohama National University(YNU) |
| 2nd Author's Name | Chika Sugimoto |
| 2nd Author's Affiliation | Yokohama National University(YNU) |
| 3rd Author's Name | Tomoharu Nagao |
| 3rd Author's Affiliation | Yokohama National University(YNU) |
| Date | 2017-05-26 |
| Paper # | NC2017-4 |
| Volume (vol) | vol.117 |
| Number (no) | NC-64 |
| Page | pp.pp.19-24(NC), |
| #Pages | 6 |
| Date of Issue | 2017-05-19 (NC) |