@article{ref1,
title="Research on driver behavior recognition method based on convolutional neural network",
journal="China safety science journal (CSSJ)",
year="2019",
author="Dan, X.U. and Yong, D.A.I. and Junhong, J.I.",
volume="29",
number="10",
pages="12-17",
abstract="In order to explore identification of unsafe driving behaviors of car drivers, concrete studies were carried out on CNN-based driver behavior recognition algorithm building on brief analysis of existing driver behavior recognition methods. CNN forward propagation and back propagation processes were explored and a CNN network architecture that deals with driver behavior recognition was presented. The results show that this method achieves an average recognition rate of 97. 13% on state-farm driver behavior dataset, and compared with traditional algorithm, it has improved 3. 62% on average in extracting histogram of oriented gradient(HOG) feature and using random forest(RF) classification for identification. © 2019 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2019.10.003",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2019.10.003"
}