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Real Time Driver Fatigue Detection System Based on Multi-Task ConNN
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Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Real Time Driver Fatigue Detection System…Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection v…YawDD (2014)YawDDDriver Fatigue Detection: A Survey (2006)Driver Fatigue Detection: A S…Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)Fatigue monitoring using wear…Technologies for detecting and monitoring drivers' states: A systematic review (2024)Technologies for detecting an…System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures (2023)System and Method for Driver …Real-time driver fatigue detection system with deep learning on a low-cost embedded system (2023)Real-time driver fatigue dete…Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences (2022)Research on a Real-Time Drive…Human-Machine Shared Driving: Challenges and Future Directions (2022)Human-Machine Shared Driving:…A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)A Multimodal Fusion Fatigue D…Real time detection of driver fatigue based on CNN‐LSTM (2021)Real time detection of driver…Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion (2021)Isotropic Self-Supervised Lea…Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Driver Mental Fatigue Detecti…Driver Fatigue Detection Based on Facial Key Points and LSTM (2021)Driver Fatigue Detection Base…Driver Drowsiness Detection Using Deep Learning (2021)Driver Drowsiness Detection U…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)SmartCar: detecting driver stress (2002)Development of an algorithm for an EEG-based driver fatigue countermeasure (2003)Detection of Driver Fatigue Caused by Sleep Deprivation (2009)Driver drowsiness monitoring based on yawning detection (2011)Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems (2014)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time System for Monitoring Driver Vigilance (2006)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)Yawning Detection Using Embedded Smart Cameras (2016)Driver Fatigue Detection Based on Eye State Recognition (2017)Driver Fatigue Detection Systems: A Review (2018)Characteristics of crashes attributed to the driver having fallen asleep (1995)Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition (2023)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The link between fatigue and safety (2010)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Driver Behavior Analysis for Safe Driving: A Survey (2015)A Review of Shared Control for Automated Vehicles: Theory and Applications (2020)A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives (2023)Intelligent Cockpit for Intelligent Connected Vehicles: Definition, Taxonomy, Technology and Evaluation (2023)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition (2021)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)
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References

  • 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network318 cited
  • 2014YawDD294 cited
  • 2006Driver Fatigue Detection: A Survey205 cited

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  • 2023System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures62 cited
  • 2023Real-time driver fatigue detection system with deep learning on a low-cost embedded system57 cited
  • 2024Technologies for detecting and monitoring drivers' states: A systematic review56 cited
  • 2021Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion

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  • 2021Driver Drowsiness Detection Using Deep Learning53 cited