电子学报2023，Vol.51Issue(10)：2874-2883,10.DOI:10.12263/DZXB.20210885
基于脑电熵值特征和功能连接的不同线型道路下驾驶状态检测
Detection of Driving State Under Different Curve Road based on Entropy and Functional Connectivity of EEG
摘要
Abstract
The decoding of different driving processes and driving intention prediction based on electroencephalo-gram(EEG)signals are the key issue of human computer interface based intelligent driving control.In order to realize the identification of driving process in straight road,left curve and right curve road,this paper proposes a feature extrac-tion method for driving behaviors based on functional brain network and entropy features of EEGs,and achieve thes clas-sification of different driving conditions under various curve by combining with several classifiers with the extracted EEG features.Corresponding simulation driving experiments are designed and the results show that the method proposed in this study can effectively identiy the driving process under various curve.All the classification accuracy for the 16 subjects between straight and curve road are higher than 82％,with the highest value to 86.66％,while the accuracy between left curve and right curve are higher than 75％,with the highest value to 77.95％.Interdependence analysis between different brain regions shows that there are obvious brain contralateral characteristics during curve driving.In addition,left curve driving needs more interactions between the brain regions than right curve driving,while the left hemisphere is slightly more active than the right hemisphere during straight driving.The result has significant value for understanding driver's brain cognitive characteristics in the process of curve driving and driving behavior detection under different curve road.关键词
驾驶行为/弯道驾驶/脑电信号/脑功能连接/熵Key words
driving behavior/curve driving/electroencephalogram(EEG)/functional brain network/entropy分类
信息技术与安全科学引用本文复制引用
常文文,闫光辉,杨志飞,张冰涛,罗浩..基于脑电熵值特征和功能连接的不同线型道路下驾驶状态检测[J].电子学报,2023,51(10):2874-2883,10.基金项目
兰州市科技计划项目(No.2021-1-150) （No.2021-1-150）
国家自然科学基金(No.62062049,No.61962034) （No.62062049,No.61962034）
甘肃省科技计划项目(No.21ZD8RA008) （No.21ZD8RA008）
兰州交通大学"天佑青年托举人才计划"基金(No.20190024)Science Project of Lanzhou City(No.2021-1-150) （No.20190024）
National Natural Science Foundation(No.62062049,No.61962034) （No.62062049,No.61962034）
Science Project of Gansu Province(No.21ZD8RA008) （No.21ZD8RA008）
Tianyou Youth Talent Lift Program of Lanzhou Jiaotong University(No.20190024) （No.20190024）
