Detection and prediction of driver drowsiness using artificial neural network models.
暂无分享,去创建一个
[1] Jarek Krajewski,et al. Steering wheel behavior based estimation of fatigue , 2017 .
[2] Xuesong Wang,et al. Driver drowsiness detection based on non-intrusive metrics considering individual specifics. , 2016, Accident; analysis and prevention.
[3] Wan-Young Chung,et al. Standalone Wearable Driver Drowsiness Detection System in a Smartwatch , 2016, IEEE Sensors Journal.
[4] Gang Zhou,et al. Microsleep Prediction Using an EKG Capable Heart Rate Monitor , 2016, 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
[5] Shahram Azadi,et al. Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss , 2014, Sensors.
[6] Lee Skrypchuk,et al. Developing a Body Sensor Network to Detect Emotions During Driving , 2014, IEEE Transactions on Intelligent Transportation Systems.
[7] G. Borghini,et al. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness , 2014, Neuroscience & Biobehavioral Reviews.
[8] Luis Miguel Bergasa,et al. Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection , 2014, Sensors.
[9] Christophe Bourdin,et al. Effectiveness of Physiological and Psychological Features to Estimate Helicopter Pilots' Workload: A Bayesian Network Approach , 2013, IEEE Transactions on Intelligent Transportation Systems.
[10] Ronghua Chen,et al. Sitting behaviour-based pattern recognition for predicting driver fatigue , 2013 .
[11] Wan-Young Chung,et al. Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals , 2012, IEEE Sensors Journal.
[12] Yachuan Pu,et al. Heart rate variability, sleep and sleep disorders. , 2012, Sleep medicine reviews.
[13] Bin Yang,et al. Drowsiness monitoring by steering and lane data based features under real driving conditions , 2010, 2010 18th European Signal Processing Conference.
[14] Dot Hs,et al. Assessing the Feasibility of Vehicle-Based Sensors to Detect Alcohol Impairment , 2010 .
[15] P. Bhattacharya,et al. A driver fatigue recognition model based on information fusion and dynamic Bayesian network , 2010, Inf. Sci..
[16] Rahul Banerjee,et al. Detection of fatigue of vehicular driver using skin conductance and oximetry pulse: a neural network approach , 2009, iiWAS.
[17] Brojeshwar Bhowmick,et al. Detection and classification of eye state in IR camera for driver drowsiness identification , 2009, 2009 IEEE International Conference on Signal and Image Processing Applications.
[18] A. Batliner,et al. Acoustic sleepiness detection: Framework and validation of a speech-adapted pattern recognition approach , 2009, Behavior research methods.
[19] Simon G Hosking,et al. Predicting driver drowsiness using vehicle measures: recent insights and future challenges. , 2009, Journal of safety research.
[20] Keiichi Uchimura,et al. Driver Inattention Monitoring System for Intelligent Vehicles: A Review , 2009, IEEE Transactions on Intelligent Transportation Systems.
[21] Fabio Tango,et al. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches , 2009, 2009 2nd Conference on Human System Interactions.
[22] T. Åkerstedt,et al. Use of subjective and physiological indicators of sleepiness to predict performance during a vigilance task. , 2007, Industrial health.
[23] John D. Lee,et al. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.
[24] Azim Eskandarian,et al. Advanced Driver Fatigue Research , 2007 .
[25] T. Åkerstedt,et al. Subjective sleepiness, simulated driving performance and blink duration: examining individual differences , 2006, Journal of sleep research.
[26] André Charles,et al. Fatigue, sleepiness, and performance in simulated versus real driving conditions. , 2005, Sleep.
[27] Alice Caplier,et al. Hypovigilence analysis: open or closed eye or mouth? Blinking or yawning frequency? , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..
[28] Jennifer Healey,et al. Detecting stress during real-world driving tasks using physiological sensors , 2005, IEEE Transactions on Intelligent Transportation Systems.
[29] Jing Zhang,et al. Driver cognitive workload estimation: a data-driven perspective , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).
[30] Zhiwei Zhu,et al. Real-time nonintrusive monitoring and prediction of driver fatigue , 2004, IEEE Transactions on Vehicular Technology.
[31] J. Nuevo,et al. Real-time system for monitoring driver vigilance , 2004, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..
[32] B. Bioulac,et al. Age, performance and sleep deprivation , 2004, Journal of sleep research.
[33] T. Balkin,et al. Modafinil vs. caffeine: effects on fatigue during sleep deprivation. , 2004, Aviation, space, and environmental medicine.
[34] D. Dinges,et al. Systematic interindividual differences in neurobehavioral impairment from sleep loss: evidence of trait-like differential vulnerability. , 2004, Sleep.
[35] Greg Maislin,et al. Dealing with inter-individual differences in the temporal dynamics of fatigue and performance: importance and techniques. , 2004, Aviation, space, and environmental medicine.
[36] C. Thomas-Antérion,et al. Mise en place d’un outil d’évaluation des déficits attentionnels affectant les capacités de conduite au cours du vieillissement normal et pathologique: L’étude SÉROVIE , 2003 .
[37] R. Chervin. Epworth sleepiness scale? , 2003, Sleep medicine.
[38] P. Caffier,et al. Experimental evaluation of eye-blink parameters as a drowsiness measure , 2003, European Journal of Applied Physiology.
[39] Raymond Cluydts,et al. Effects of Slow-Release Caffeine and a Nap on Driving Simulator Performance after Partial Sleep Deprivation , 2003, Perceptual and motor skills.
[40] D. Dinges,et al. Sleep debt: Theoretical and empirical issues , 2003 .
[41] M. Ferrara,et al. Antero-posterior EEG changes during the wakefulness–sleep transition , 2001, Clinical Neurophysiology.
[42] Gary S. Robinson,et al. An On-Road Investigation of Commercial Motor Vehicle Operator Self Assessment of Fatigue as an Indicator of Driver Fatigue , 2001 .
[43] Azim Eskandarian,et al. Unobtrusive drowsiness detection by neural network learning of driver steering , 2001 .
[44] A. Maclean,et al. How do prolonged wakefulness and alcohol compare in the decrements they produce on a simulated driving task? , 2001, Accident; analysis and prevention.
[45] A. Craig,et al. A critical review of the psychophysiology of driver fatigue , 2001, Biological Psychology.
[46] W C Orr,et al. Heart rate variability during waking and sleep in healthy males and females. , 1999, Sleep.
[47] C. Guilleminault,et al. Long distance driving and self-induced sleep deprivation among automobile drivers. , 1999, Sleep.
[48] J. Horne,et al. Vehicle accidents related to sleep: a review. , 1999, Occupational and environmental medicine.
[49] T. Åkerstedt,et al. Simple reaction time, duration of driving and sleep deprivation in young versus old automobile drivers , 1999, Journal of sleep research.
[50] J. Golding. Motion sickness susceptibility questionnaire revised and its relationship to other forms of sickness , 1998, Brain Research Bulletin.
[51] R. Apparies,et al. A psychophysiological investigation of the effects of driving longer-combination vehicles. , 1998, Ergonomics.
[52] I D Brown,et al. Prospects for technological countermeasures against driver fatigue. , 1997, Accident; analysis and prevention.
[53] W W Wierwille,et al. Evaluation of driver drowsiness by trained raters. , 1994, Accident; analysis and prevention.
[54] M. Johns,et al. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. , 1991, Sleep.
[55] Kenneth Levenberg. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .
[56] Atsuo Murata,et al. Multinomial Logistic Regression Model by Stepwise Method for Predicting Subjective Drowsiness Using Performance and Behavioral Measures , 2016 .
[57] David Burton,et al. Comparing Contribution of Algorithm Based Physiological Indicators for Characterisation of Driver Drowsiness , 2015 .
[58] Yufei Huang,et al. Prediction of driver's drowsy and alert states from EEG signals with deep learning , 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[59] Atsuo Murata,et al. Multinomial logistic regression model for predicting drivers' drowsiness using only behavioral measures , 2015 .
[60] Anna Anund,et al. Countermeasures for fatigue in transportation : a review of existing methods for drivers on road, rail, sea and in aviation , 2015 .
[61] R. Sukanesh,et al. Certain Investigations on Drowsiness Alert system based on Heart Rate Variability using LabVIEW , 2014 .
[62] Andreas König,et al. Multi-Sensor Soft-Computing System for Driver Drowsiness Detection , 2014 .
[63] Sultan Alhazmi,et al. Towards Context-based Fatigue Detection System in Vehicular Area Network , 2013 .
[64] Qiang Ji,et al. Drowsy Driver Posture, Facial, and Eye Monitoring Methods , 2012 .
[65] Mireya Fernández Chimeno,et al. Drowsiness detection by thoracic effort signal snalysis with professional drivers in real environments , 2011 .
[66] Riccardo Rossi,et al. Analysis of driver task-related fatigue using driving simulator experiments , 2011 .
[67] Colin M. Shapiro,et al. Karolinska Sleepiness Scale (KSS) , 2011 .
[68] Gregoire S. Larue,et al. Predicting effects of monotony on driver's vigilance , 2010 .
[69] Mervyn V. M. Yeo,et al. Can SVM be used for automatic EEG detection of drowsiness during car driving , 2009 .
[70] Bryan Reimer,et al. DEVELOPMENT OF A DRIVER AWARE VEHICLE FOR MONITORING, MANAGING & MOTIVATING OLDER OPERATOR BEHAVIOR , 2009 .
[71] Harry Zhang,et al. Understanding Driving Activity Using Ensemble Methods , 2008, Computational Intelligence in Automotive Applications.
[72] P. R. Davidson,et al. Identification of Vigilance Lapses using EEG/EOG by Expert Human Raters , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[73] J. Bergeron,et al. Fatigue and individual differences in monotonous simulated driving , 2003 .
[74] Hargutt,et al. EYELID MOVEMENTS AND THEIR PREDICTIVE VALUE FOR FATIGUE STAGES , 2001 .
[75] Willem B. Verwey,et al. Predicting drowsiness accidents from personal attributes, eye blinks and ongoing driving behaviour , 2000 .
[76] A. Sanders,et al. Performance Decrement During Prolonged Night Driving , 1977 .
[77] J. Horne,et al. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. , 1976, International journal of chronobiology.
[78] William S. Foster,et al. The simple reaction. , 1923 .