Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis

Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis

In view of the nonlinear characteristics of electroencephalography (EEG) signals collected in the driving fatigue state recognition research and the issue that the recognition accuracy of the driving fatigue state recognition method based on EEG is still unsatisfactory, this paper proposes a driving...

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Bibliographic Details
Main Authors: Beige Ye, Taorong Qiu, Xiaoming Bai, Ping Liu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
driving fatigue
sample entropy
kernel principal component analysis
support vector machine
Online Access:http://www.mdpi.com/1099-4300/20/9/701

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