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Driver fatigue detection based on deeply-learned facial expression representation
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Driver fatigue detection based on deeply-learned facial expression representation (2019)Driver fatigue detection based on deeply-…Driver’s facial expression recognition: A comprehensive survey (2023)Driver’s facial expression re…A CNN-Based Wearable System for Driver Drowsiness Detection (2023)A CNN-Based Wearable System f…Real-time fatigue driving detection system based on multi-module fusion (2022)Real-time fatigue driving det…Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021 (2022)Evolution of Driver Fatigue D…A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features (2022)A Hybrid Driver Fatigue and D…Driver Fatigue Detection Based on Facial Key Points and LSTM (2021)Driver Fatigue Detection Base…Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)Driver Fatigue Detection Syst…Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time System for Monitoring Driver Vigilance (2006)Driver Fatigue Detection Systems: A Review (2018)Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning (2021)A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning (2022)Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion (2024)Driver Fatigue Detection Based on Eye State Recognition (2017)Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Adaptive Driver Face Feature Fatigue Detection Algorithm Research (2023)Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model (2023)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Video-based emotion recognition in the wild using deep transfer learning and score fusion (2017)Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)A critical review of the psychophysiology of driver fatigue (2001)Multiple Resources and Mental Workload (2008)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)Designing a practical fatigue detection system: A review on recent developments and challenges (2024)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion (2020)Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)A power primer. (1992)The link between fatigue and safety (2010)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures (2024)Facial Action Coding System (1978)A circumplex model of affect. (1980)An argument for basic emotions (1992)
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Cited by

  • 2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis92 cited
  • 2021Driver Fatigue Detection Based on Facial Key Points and LSTM75 cited
  • 2022Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 202143 cited
  • 2023A CNN-Based Wearable System for Driver Drowsiness Detection42 cited
  • 2022A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features36 cited
  • 2023Driver’s facial expression recognition: A comprehensive survey33 cited
  • 2022Real-time fatigue driving detection system based on multi-module fusion33 cited

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