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

Kenta Okabe, Keiichi Watanuki, Kazunori Kaede, Keiichi Muramatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIntelligent Human Systems Integration - Proceedings of the 1st International Conference on Intelligent Human Systems Integration IHSI 2018
Subtitle of host publicationIntegrating People and Intelligent Systems
EditorsWaldemar Karwowski, Tareq Ahram
PublisherSpringer Verlag
Pages35-41
Number of pages7
ISBN (Print)9783319738871
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018 - Dubai, United Arab Emirates
Duration: 2018 Jan 72018 Jan 9

Publication series

NameAdvances in Intelligent Systems and Computing
Volume722
ISSN (Print)2194-5357

Other

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

Keywords

  • Automatic driving
  • Seat pressure
  • State estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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