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EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT

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References

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1994

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RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT

261 cited

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2011Cognitive Cars: A New Frontier for ADAS Research213 cited
2013Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry198 cited
2011Driving performance impairments due to hypovigilance on monotonous roads183 cited
2012Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation152 cited
2007Monitoring eye and eyelid movements by infrared reflectance oculography to measure drowsiness in drivers147 cited
2011Vision-based method for detecting driver drowsiness and distraction in driver monitoring system141 cited
2007Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness Detection141 cited
2011Chronic Sleep Deprivation138 cited
2009Detection of Driver Fatigue Caused by Sleep Deprivation135 cited
2013A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers127 cited
2011Fatigue-proofing: A new approach to reducing fatigue-related risk using the principles of error management124 cited
2010The challenges and opportunities of technological approaches to fatigue management120 cited
2000Awareness during drowsiness: Dynamics and electrophysiological correlates.115 cited
2005Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Operational Test Design, Data Analyses, and Progress112 cited