Emotional Stress and Drowsiness Detection in Drivers Using Support Vector Machine

Abstract / Excerpt:

Car accidents occur every day, and a significant quantity of accidents occur because of driver error. Some accidents happen because the driver is stressed or sleepy. Because of this, a real-time stress and drowsiness detection system is proposed, which recognizes emotions through the driver's facial expressions. The proponents propose using a Feature Extraction System using Computer Vision which extracts facial feature points from the driver's face. A Support Vector Machine is then used to recognize emotion. The video frame is sampled and each frame is processed to detect emotion. The percentage of frames in which stressful emotion is shown will be the basis whether the driver is stressed.

Info
Source InstitutionAteneo de Davao University
UnitComputer Studies
AuthorsJessie Emmanuel Adante, Jake Randolph Muncada
Page Count19
Place of PublicationDavao City
Original Publication DateMarch 1, 2014
Tags Computer Vision, Drowsiness, Emotion, Facial Feature Point, Feature Extraction, Stress, Support Vector Machine
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