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Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion
11 references·0 citing·47 second hop
Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion (2021)Fatigue Driving Detection Based on Deep L…Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Driver Mental Fatigue Detecti…A method for fatigue detection based on Driver's steering wheel grip (2021)A method for fatigue detectio…Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Real Time Driver Fatigue Dete…Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation (2020)Driver Fatigue Detection Meth…Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges (2020)Detecting Human Driver Inatte…A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion (2020)A Fatigue Driving Detection A…Driver yawning detection based on long short term memory networks (2017)Driver yawning detection base…Drowsy behavior detection based on driving information (2016)Drowsy behavior detection bas…Driving fatigue detection with fusion of EEG and forehead EOG (2016)Driving fatigue detection wit…An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme (2016)An Accurate ECG-Based Transpo…Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests (2011)Detecting deteriorated vigila…Subjective and Objective Sleepiness in the Active Individual (1990)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)Assessment of Drowsiness Based on Ocular Parameters Detected by Infrared Reflectance Oculography (2013)Drowsiness Detection Based on the Analysis of Breathing Rate Obtained from Real-time Image Recognition (2016)PERCLOS-based 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Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities (2021)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress (2020)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies (2009)Optimized driver fatigue detection method using multimodal neural networks (2025)Quantification of Sleepiness: A New Approach (1973)A critical review of the psychophysiology of driver fatigue (2001)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Automatic driver cognitive fatigue detection based on upper body posture variations (2022)Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators (2022)Real-Time System for Monitoring Driver Vigilance (2006)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)
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References

  • 2020Real Time Driver Fatigue Detection System Based on Multi-Task ConNN180 cited
  • 2020A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion143 cited
  • 2016An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme139 cited
  • 2020Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges137 cited
  • 2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
  • 2016Driving fatigue detection with fusion of EEG and forehead EOG97 cited
  • 2011Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests83 cited
  • 2020Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation82 cited
  • 2021A method for fatigue detection based on Driver's steering wheel grip67 cited
  • 2016Drowsy behavior detection based on driving information57 cited
  • 2017Driver yawning detection based on long short term memory networks53 cited

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