The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
[volume title in Japanese]
Session ID : J1810202
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Estimation of Driver's State While Automatic Driving Using Seat Surface Pressure
*Kenta OKABEKeiichi WATANUKIKazunori KAEDEKeiichi MURAMATSU
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Abstract

Automation level 3 of an automobile is an automatic operation in the normal state;, however, the operation is switched to the driver when it is determined that operation of the system is difficult to continue. In previous study, there were cases where automatic operation cannot be smoothly switched from manual operation owing to motion other than driving, or a decrease in arousal level during automatic operation. It is considered that estimating the condition of the driver can support smooth switching. In this study, we estimated the state of the driver while automatic driving using seat surface pressure. Results indicate that the estimation was approximately 100% in the individual evaluation and 78.4% in the overall evaluation using machine learning. This suggests that it is possible to estimate the driver's state while automatic driving.

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© 2017 The Japan Society of Mechanical Engineers
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