Transcription of Drowsy Driver Detection using Representation Learning
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Drowsy Driver Detection using Representation Learning
Drowsy Driver Detection using Representation Learning Kartik Dwivedi, Kumar Biswaranjan and Amit Sethi Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati, India Abstract The advancement of computing technology over the physiological signals yields better Detection accuracy, these are years has provided assistance to drivers mainly in the form of not accepted widely because of less practicality. A third set of intelligent vehicle systems. Driver fatigue is a significant factor in techniques is based on computer vision systems which can a large number of vehicle accidents.
conditions. Horng et al. [12] uses edge information for localizing eyes and dynamical template matching for eye tracking for driver fatigue detection.
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