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Research on the driver fatigue early warning model of electric vehicles based on the fusion of EMG and ECG signals

REN Bin LI Qibing ZHOU Qinyu LUO Wenfa

High Technology Letters2024，Vol.30Issue(4)：P.333-343,11.

High Technology Letters2024，Vol.30Issue(4)：P.333-343,11.DOI:10.3772/j.issn.1006-6748.2024.04.001

Research on the driver fatigue early warning model of electric vehicles based on the fusion of EMG and ECG signals

REN Bin ¹LI Qibing ²ZHOU Qinyu ²LUO Wenfa³

作者信息

1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics,School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,P.R.China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology,Ningbo Institute of Materials Technology&Engineering,Chinese Academy of Sciences,Ningbo 315201,P.R.China
2. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics,School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,P.R.China
3. SAIC Motor R&D Innovation Headquarters,SAIC Motor Corporation Limited,Shanghai 201804,P.R.China
折叠

摘要

关键词

driver fatigue early warning/electromyography(EMG)signal/electrocardiography(ECG)signal/principal component analysis(PCA)/support vector machine(SVM)

分类

交通工程

引用本文复制引用

REN Bin,LI Qibing,ZHOU Qinyu,LUO Wenfa..Research on the driver fatigue early warning model of electric vehicles based on the fusion of EMG and ECG signals[J].High Technology Letters,2024,30(4):P.333-343,11.

基金项目

Supported by the Key Research and Development Program of Ningbo(No.2023Z218) （No.2023Z218）

the Joint Funds of the National Natural Science Founda-tion of China(No.U21A20121) （No.U21A20121）

the National Natural Science Foundation of China(No.51775325) （No.51775325）

the Young Eastern Scholars Program of Shanghai(No.QD2016033). （No.QD2016033）

High Technology Letters

ISSN：1006-6748

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