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RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection
16 references·0 citing·36 second hop
RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection (2020)RF-DCM: Multi-Granularity Deep Convolutio…Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Real-time Driver Drowsiness D…Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving (2018)Driver Sleepiness Classificat…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Driver drowsiness detection using hybrid convolutional neural network and long short-term memory (2018)Driver drowsiness detection u…Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)Real-Time Driver Drowsiness D…Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection v…Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver Drowsiness Detection S…Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine (2017)Detection of Driver Drowsines…Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Towards Detection of Bus Driv…Hierarchical committee of deep convolutional neural networks for robust facial expression recognition (2016)Hierarchical committee of dee…Driver Behavior Analysis for Safe Driving: A Survey (2015)Driver Behavior Analysis for …Drowsy driver detection using representation learning (2014)Drowsy driver detection using…Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Driver Inattention Monitoring…Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Validation of the Karolinska …Real-Time System for Monitoring Driver Vigilance (2006)Real-Time System for Monitori…PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance (1998)PERCLOS: A valid psychophysio…Measurement of Situation Awareness in Dynamic Systems (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Driver behavior detection and classification using deep convolutional neural networks (2020)The CES-D Scale (1977)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Sleep Loss and Fatigue in Shift Work and Shift Work Disorder (2009)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Combining modality specific deep neural networks for emotion recognition in video (2013)Image based Static Facial Expression Recognition with Multiple Deep Network Learning (2015)Facial Expression Recognition using Convolutional Neural Networks: State of the Art (2016)Video-based emotion recognition in the wild using deep transfer learning and score fusion (2017)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A critical review of the psychophysiology of driver fatigue (2001)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Decision-making in driver-automation shared control: A review and perspectives (2020)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses (2020)Fatigue Monitoring Through Wearables: A State-of-the-Art Review (2021)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques (2017)Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio (2019)Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application (2020)
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References

  • 2006Validation of the Karolinska sleepiness scale against performance and EEG variables1,013 cited
  • 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
  • 2006Real-Time System for Monitoring Driver Vigilance715 cited
  • 2018Driver Fatigue Detection Systems: A Review557 cited
  • 2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
  • 2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State328 cited
  • 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
  • 2017Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks265 cited
  • 2018Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques251 cited
  • 2016Hierarchical committee of deep convolutional neural networks for robust facial expression recognition243 cited
  • 2014Drowsy driver detection using representation learning202 cited
  • 2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks179 cited
  • 1998PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance153 cited
  • 2018Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving

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107 cited
  • 2018Driver drowsiness detection using hybrid convolutional neural network and long short-term memory100 cited
  • 2017Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine89 cited
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