EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function

EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function

Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of the EEG technology, but it is still challenging to extract informative features from noisy EEG signals for driving fatigue detection. Radial...

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Bibliographic Details
Main Authors: Ziwu Ren, Rihui Li, Bin Chen, Hongmiao Zhang, Yuliang Ma, Chushan Wang, Ying Lin, Yingchun Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Neurorobotics
Subjects:
driving fatigue detection
electroencephalography
principal component analysis
radial basis function
neural network
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.618408/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2021.618408/full

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