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Adaptive Driver Face Feature Fatigue Detection Algorithm Research
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Adaptive Driver Face Feature Fatigue Detection Algorithm Research (2023)Adaptive Driver Face Feature Fatigue Dete…Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences (2022)Research on a Real-Time Drive…Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion (2021)Fatigue Driving Detection Bas…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…A novel approach for driver fatigue detection based on visual characteristics analysis (2021)A novel approach for driver f…Driver Fatigue Detection Using Viola Jones and Principal Component Analysis (2020)Driver Fatigue Detection Usin…Driver Distraction Recognition using 3D Convolutional Neural Networks (2019)Driver Distraction Recognitio…YawDD (2014)YawDDA critical review of the psychophysiology of driver fatigue (2001)A critical review of the psyc…The Relaxation Response (1974)An overview of sleepiness and accidents (1995)Sleep related vehicle accidents (1995)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Real-time Distracted Driver Posture Classification (2017)Detection of Distracted Driver Using Convolutional Neural Network (2018)CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture (2024)Real-Time System for Monitoring Driver Vigilance (2006)Driver drowsiness monitoring based on yawning detection (2011)A Driver Face Monitoring System for Fatigue and Distraction Detection (2013)Real-Time Drowsiness Identification based on Eye State Analysis (2021)Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals (2022)Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021 (2022)Driver Fatigue Detection Based on Eye State Recognition (2017)Driver Fatigue Detection Systems: A Review (2018)Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model (2023)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation (2021)Real time detection of driver fatigue based on CNN‐LSTM (2021)Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions (2024)Characteristics of crashes attributed to the driver having fallen asleep (1995)Human-Machine Shared Driving: Challenges and Future Directions (2022)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)An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme (2016)A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion (2020)DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data (2024)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)EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism (2023)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

  • 2001A critical review of the psychophysiology of driver fatigue1,012 cited
  • 2014YawDD294 cited
  • 2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
  • 2022Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences78 cited
  • 2021Driver Fatigue Detection Based on Facial Key Points and LSTM75 cited
  • 2021A novel approach for driver fatigue detection based on visual characteristics analysis66 cited
  • 2020Driver Fatigue Detection Using Viola Jones and Principal Component Analysis60 cited
  • 2019Driver Distraction Recognition using 3D Convolutional Neural Networks45 cited
  • 2021Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion43 cited

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