Study of Steering Wheel Movement under Fatigue Driving and Drunk Driving Based on Sample Entropy

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In order to distinguish the fatigue, drunk and normal driving effectively, sample entropy is introduced in this paper. An experiment was designed based on a driving simulator. 13 drivers were recruited to participate in the experiment. The steering wheel movement data in fatigue, drunk and normal state were collected. Sample entropy was used to analyze the characteristic of steering wheel movement under different radius curves in three driving states. The results show that the sample entropy in normal state is higher than that in fatigue state, while it is lower than that in drunk state. This indicates that sample entropy is feasible for distinguishing fatigue, drunk and normal driving.

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2001-2005

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March 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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