Original paper
Driver drowsiness detection with eyelid related parameters by Support Vector Machine
Abstract
Various investigations show that drivers’ drowsiness is one of the main causes of traffic accidents. Thus, countermeasure device is currently required in many fields for sleepiness related accident prevention. This paper intends to perform the drowsiness prediction by employing Support Vector Machine (SVM) with eyelid related parameters extracted from EOG data collected in a driving simulator provided by EU Project SENSATION. The dataset is...
Paper Details
Title
Driver drowsiness detection with eyelid related parameters by Support Vector Machine
Published Date
May 1, 2009
Volume
36
Issue
4
Pages
7651 - 7658
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