Can SVM be used for automatic EEG detection of drowsiness during car driving?

• Published in: Safety science Vol. 47; no. 1; pp. 115 - 124
• Main Authors: Yeo, Mervyn V.M., Li, Xiaoping, Shen, Kaiquan, Wilder-Smith, Einar P.V.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier India Pvt Ltd 2009; Elsevier
• Subjects: Alert; Biological and medical sciences; Driving; Drowsy; EEG; Medical sciences; Miscellaneous; Pattern recognition; Prevention and actions; Public health. Hygiene; Public health. Hygiene-occupational medicine; SVM; Drowsy; Driving; Alert; SVM; Pattern recognition; EEG; Human; Motor car; Vehicle driving; Use; Electrophysiology; Electroencephalography; Vehicle driver; Somnolence; Traffic safety; Detection

This study aims to develop an automatic method to detect drowsiness onset while driving. Support vector machines (SVM) represents a superior signal classification tool based on pattern recognition. The usefulness of SVM in identifying and differentiating electroencephalographic (EEG) changes that oc...