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Monitoring Driver Drowsiness and Stress in a Driving Simulator
1 references·8 citing·28 second hop
Monitoring Driver Drowsiness and Stress in a Driving Simulator (2001)Monitoring Driver Drowsiness and Stress i…Getting it right: R&D methods for science and engineering (2002)Getting it right: R&D methods…Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing (2020)Multimodal System to Detect D…Methods to Detect and Reduce Driver Stress: A Review (2019)Methods to Detect and Reduce …A systematic review of the effect of various interventions on reducing fatigue and sleepiness while driving (2017)A systematic review of the ef…Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following (2012)Why do drivers maintain short…Mental stress detection using physiological signals based on soft computing techniques (2011)Mental stress detection using…Vigilance monitoring for operator safety: A simulation study on highway driving (2006)Vigilance monitoring for oper…Review of on-road driver fatigue monitoring devices (2005)Review of on-road driver fati…Effects of Lane Departure Warning on Drowsy Drivers' Performance and State in a Simulator (2005)Effects of Lane Departure War…An overview of sleepiness and accidents (1995)Monotony of road environment and driver fatigue: a simulator study (2003)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Inferring psychological significance from physiological signals. (1990)SmartCar: detecting driver stress (2002)Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables (2006)Stress Detection in Computer Users From Keyboard and Mouse Dynamics (2020)Toward soft real-time stress detection using wrist-worn devices for human workspaces (2020)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Vision in vehicles – III (1992)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Quantification of Sleepiness: A New Approach (1973)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)World Health Report (2013)Stress, appraisal, and coping (1985)Stress: Appraisal and Coping (2013)Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network (2022)Subjective and Objective Sleepiness in the Active Individual (1990)A critical review of the psychophysiology of driver fatigue (2001)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)A drowsy driver detection system for heavy vehicles (2002)Development of an algorithm for an EEG-based driver fatigue countermeasure (2003)Yawning detection for monitoring driver fatigue based on two cameras (2009)Evaluation of fatigue monitoring technologies (2010)Objective and subjective evaluation of motor priming and warning systems applied to lateral control assistance (2010)Teachers' Language on Scientific Inquiry: Methods of teaching or methods of inquiry? (2009)
this work references cited by second hop

References

  • 2002Getting it right: R&D methods for science and engineering14 cited

Cited by

  • 2012Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following80 cited
  • 2019Methods to Detect and Reduce Driver Stress: A Review75 cited
  • 2020Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing69 cited
  • 2006Vigilance monitoring for operator safety: A simulation study on highway driving66 cited
  • 2005Review of on-road driver fatigue monitoring devices62 cited
  • 2017A systematic review of the effect of various interventions on reducing fatigue and sleepiness while driving60 cited
  • 2011Mental stress detection using physiological signals based on soft computing techniques57 cited
  • 2005Effects of Lane Departure Warning on Drowsy Drivers' Performance and State in a Simulator54 cited

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