| Presentation | 2023-01-24 Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram. For daily use of these applications, constant electroencephalogram measurements using wireless devices are required. To reduce the burden of wearing a wireless measurement devices, the device must have low power consumption, such that the battery is lightweight and does not require frequent recharging. This study focuses on feature extraction for machine learning process and proposes a low-power emotion recognition system by ransmitting only extracted features instead of electroencephalogram signals. In order to further reduce the amount of data transmitted, we investigated whether the amount of information used to represent the extracted features can be reduced without compromising recognition accuracy. As simulation results, we were able to reduce the amount of data transmitted wirelessly to 1/72 while maintaining the recognition accuracy of approximately 90%, same as the previous study. In addition, we found that the amount of information in feature transmission only requires an 8-bit representation at most in simulation results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | emotion recognition / electroencephalogram / low power consumption / feature extraction / machine learning |
| Paper # | VLD2022-66,RECONF2022-89 |
| Date of Issue | 2023-01-16 (VLD, RECONF) |
| Conference Information | |
| Committee | IPSJ-SLDM / RECONF / VLD |
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| Conference Date | 2023/1/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Raiosha, Hiyoshi Campus, Keio University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | FPGA Applications, etc. |
| Chair | Hiroyuki Ochi(Ritsumeikan Univ.) / Kentaro Sano(RIKEN) / Minako Ikeda(NTT) |
| Vice Chair | / Yoshiki Yamaguchi(Tsukuba Univ.) / Tomonori Izumi(Ritsumeikan Univ.) / Shigetoshi Nakatake(Univ. of Kitakyushu) |
| Secretary | (Tokyo Inst. of Tech.) / Yoshiki Yamaguchi(Meiji Univ.) / Tomonori Izumi(Sony Semiconductor Solutions) / Shigetoshi Nakatake(HITACHI) |
| Assistant | / Yukitaka Takemura(INTEL) / Yasunori Osana(Ryukyu Univ.) / Takuma Nishimoto(Hitachi) |
| Paper Information | |
| Registration To | Special Interest Group on System and LSI Design Methodology / Technical Committee on Reconfigurable Systems / Technical Committee on VLSI Design Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram |
| Sub Title (in English) | |
| Keyword(1) | emotion recognition |
| Keyword(2) | electroencephalogram |
| Keyword(3) | low power consumption |
| Keyword(4) | feature extraction |
| Keyword(5) | machine learning |
| 1st Author's Name | Yuuki Harada |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Daisuke Kanemoto |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Tetsuya Hirose |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2023-01-24 |
| Paper # | VLD2022-66,RECONF2022-89 |
| Volume (vol) | vol.122 |
| Number (no) | VLD-353,RECONF-354 |
| Page | pp.pp.40-44(VLD), pp.40-44(RECONF), |
| #Pages | 5 |
| Date of Issue | 2023-01-16 (VLD, RECONF) |