Study on estimation of driver’s state during automatic driving using seat pressure

Kenta Okabe*, Keiichi Watanuki, Kazunori Kaede, Keiichi Muramatsu

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

The development of an automatic driving system is accompanied by the increasing importance of driver monitoring. It is necessary to estimate the state of the driver including actions with less load on the driver. In this study, we used the seat pressure as an indicator to assess the status of a driver. In the experiment, we measured the seat pressure during automatic operation under the designated state (forward gaze, cell phone use and sleeping) of the driver. Characteristic changes in the center of gravity position of the driver were confirmed during cell phone use and sleeping. Subsequently, we evaluated seating surface pressure data by calculating the accuracy of state estimation using machine learning. The results show that the accuracy of estimation corresponded to 76.8% in the overall evaluation. This suggests that it is possible to estimate the state of the driver during automatic driving using seat pressure.

本文言語English
ホスト出版物のタイトルIntelligent Human Systems Integration - Proceedings of the 1st International Conference on Intelligent Human Systems Integration IHSI 2018
ホスト出版物のサブタイトルIntegrating People and Intelligent Systems
編集者Waldemar Karwowski, Tareq Ahram
出版社Springer Verlag
ページ35-41
ページ数7
ISBN(印刷版)9783319738871
DOI
出版ステータスPublished - 2018
外部発表はい
イベント1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018 - Dubai, United Arab Emirates
継続期間: 2018 1 72018 1 9

出版物シリーズ

名前Advances in Intelligent Systems and Computing
722
ISSN(印刷版)2194-5357

Other

Other1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018
国/地域United Arab Emirates
CityDubai
Period18/1/718/1/9

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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