| Presentation | 2022-03-02 [Poster Presentation] Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka, Ken Kubota, Shun Nakamura, Kenichi Makita, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. However, the braking of an automated vehicle is not always comfortable for drivers. In this paper, we hypothesized that the discomfort felt by the driver during automatic braking would appear in the electroencephalogram (EEG) and electrocardiogram (ECG) when the braking timing differs from that assumed by the driver. We analyzed EEG and ECG during normal and abnormal braking timing and discriminated abnormal brakes using a Support Vector Machine to test our hypothesis. The results showed a significant difference ($p<0.01$) in the power of the $alpha$ band for normal and abnormal braking. Furthermore, the model with the combination of EEG power ratio and heart rate features achieved 86.0%, and the model with only heart rate features achieved 88.4%. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Automatic driving / abnormal brake detection / Electroencephalogram / Electrocardiogram / Support Vector Machine |
| Paper # | EA2021-94,SIP2021-121,SP2021-79 |
| Date of Issue | 2022-02-22 (EA, SIP, SP) |
| Conference Information | |
| Committee | EA / SIP / SP / IPSJ-SLP |
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| Conference Date | 2022/3/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yoshinobu Kajikawa(Kansai Univ.) / Yukihiro Bandou(NTT) / Norihide Kitaoka(Toyohashi Univ. of Tec) / 北岡 教英(豊橋技科大) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Shoichi Koyama(Univ. of Tokyo) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | Kenichi Furuya(NTT) / Shoichi Koyama(RitsumeikanUniv.) / Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) / (Tokyo Univ. Agri.&Tech.) / (Univ. of Tokyo) |
| Assistant | Yukou Wakabayashi(Tokyo Metropolitan Univ.) / Tatsuya Komatsu(LINE) / Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Toru Nakashika(Univ. of Electro-Comm.) / Ryo Masumura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing / Technical Committee on Speech / Special Interest Group on Spoken Language Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving |
| Sub Title (in English) | |
| Keyword(1) | Automatic driving |
| Keyword(2) | abnormal brake detection |
| Keyword(3) | Electroencephalogram |
| Keyword(4) | Electrocardiogram |
| Keyword(5) | Support Vector Machine |
| 1st Author's Name | Erika Sekiguchi |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 2nd Author's Name | Toshihisa Tanaka |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 3rd Author's Name | Ken Kubota |
| 3rd Author's Affiliation | JATCO Engineering Ltd(JATCO Engineering) |
| 4th Author's Name | Shun Nakamura |
| 4th Author's Affiliation | CorLab Inc.(CorLab) |
| 5th Author's Name | Kenichi Makita |
| 5th Author's Affiliation | JATCO Ltd(JATCO) |
| Date | 2022-03-02 |
| Paper # | EA2021-94,SIP2021-121,SP2021-79 |
| Volume (vol) | vol.121 |
| Number (no) | EA-383,SIP-384,SP-385 |
| Page | pp.pp.189-194(EA), pp.189-194(SIP), pp.189-194(SP), |
| #Pages | 6 |
| Date of Issue | 2022-02-22 (EA, SIP, SP) |