Workgreen2002

Monitoring head/eye motion for driver alertness with one camera

Paul Smith · Mubarak A. Shah · Niels da Vitoria Lobo

175 citations0/0 files storedProceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

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Sleep and Work-Related Fatigue Video Surveillance and Tracking Methods Face recognition and analysis

Abstract

We describe a system for analyzing human driver alertness. It relies on optical flow and color predicates to robustly track a person's head and facial features. Our system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye blinking, and recovers the 3D gaze of the eyes. We show results and discuss how this system can be used for monitoring driver alertness.

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2002Development of drowsiness detection system

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2005Estimating Driving Performance Based on EEG Spectrum Analysis 2013Detection of vigilance performance using eye blinks 2014A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection 2014Driver’s Fatigue Detection Based on Yawning Extraction 2005Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis 2009An on-board system for detecting driver drowsiness based on multi-sensor data fusion using Dempster-Shafer theory

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