| Presentation | 2024-01-18 Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data Yutaro Nakagama, Daisuke Ishii, Kazuki Yoshizoe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Driver drowsiness detection (DDD) systems are being developed to prevent accidents caused by the distraction of automobile drivers. This research aims to develop a highly accurate DDD system based on deep learning using vehicular data. In this study, a driving simulator, CARLA, was used to perform a driving simulation by a subject; then, DDD was performed based on anomaly detection by comparing predicted and acquired yaw rate data. The prediction was based on models generated by deep learning and difference equation models identified by the recurrent least squares method. The precision of anomaly detection for each model was evaluated based on the ROC curves, and the results indicate that the deep learning model was more accurate than the difference equation model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | driver drowsiness detection / deep learning |
| Paper # | MSS2023-63,SS2023-42 |
| Date of Issue | 2024-01-10 (MSS, SS) |
| Conference Information | |
| Committee | SS / MSS |
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| Conference Date | 2024/1/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kozo Okano(Shinshu Univ.) / Shingo Yamaguchi(Yamaguchi Univ.) |
| Vice Chair | Yoshiki Higo(Osaka Univ.) / Toshiyuki Miyamoto(Osaka Inst. of Tech.) |
| Secretary | Yoshiki Higo(Shinshu Univ.) / Toshiyuki Miyamoto(Tokyo Inst. of Tech.) |
| Assistant | Shinsuke Matsumoto(Osaka Univ.) / Masato Shirai(Shimane Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Software Science / Technical Committee on Mathematical Systems Science and its Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data |
| Sub Title (in English) | |
| Keyword(1) | driver drowsiness detection |
| Keyword(2) | deep learning |
| Keyword(3) | |
| Keyword(4) | |
| 1st Author's Name | Yutaro Nakagama |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology(JAIST) |
| 2nd Author's Name | Daisuke Ishii |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology(JAIST) |
| 3rd Author's Name | Kazuki Yoshizoe |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2024-01-18 |
| Paper # | MSS2023-63,SS2023-42 |
| Volume (vol) | vol.123 |
| Number (no) | MSS-334,SS-335 |
| Page | pp.pp.64-69(MSS), pp.64-69(SS), |
| #Pages | 6 |
| Date of Issue | 2024-01-10 (MSS, SS) |