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Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness
5 references·1 citing·26 second hop
Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness (2019)Camera-Based Eye Blink Detection Algorith…Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera (2017)Eye blink detection for diffe…Vision-based drowsiness detector for real driving conditions (2012)Vision-based drowsiness detec…Camera-based drowsiness reference for driver state classification under real driving conditions (2010)Camera-based drowsiness refer…Yawning detection for determining driver drowsiness (2005)Yawning detection for determi…Subjective and Objective Sleepiness in the Active Individual (1990)Subjective and Objective Slee…Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm (2020)Driver Drowsiness Classificat…Sleepiness, Driving, and Motor Vehicle Crashes (1998)Vehicle accidents related to sleep: a review. (1999)Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection (2014)Driver Distraction Using Visual-Based Sensors and Algorithms (2016)Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Driver sleepiness and risk of serious injury to car occupants: population based case control study (2002)Real-Time System for Monitoring Driver Vigilance (2006)Real Time Driver Drowsiness Detection Based on Driver’s Face Image Behavior Using a System of Human Computer Interaction Implemented in a Smartphone (2018)Driver’s fatigue recognition based on yawn detection in thermal images (2019)Using long short term memory and convolutional neural networks for driver drowsiness detection (2021)Real Time Visual Cues Extraction for Monitoring Driver Vigilance (2001)Eye-tracking for detection of driver fatigue (2002)An automated face reader for fatigue detection (2004)Yawning detection for monitoring driver fatigue based on two cameras (2009)Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing (2020)Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques (2022)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Drowsiness measures for commercial motor vehicle operations (2018)A CNN-Based Wearable System for Driver Drowsiness Detection (2023)Technologies for detecting and monitoring drivers' states: A systematic review (2024)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Real-Time Drowsiness Identification based on Eye State Analysis (2021)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Systematic Interindividual Differences in Neurobehavioral Impairment from Sleep Loss: Evidence of Trait-Like Differential Vulnerability (2004)
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References

  • 1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
  • 2010Camera-based drowsiness reference for driver state classification under real driving conditions139 cited
  • 2012Vision-based drowsiness detector for real driving conditions109 cited
  • 2005Yawning detection for determining driver drowsiness71 cited
  • 2017Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera70 cited

Cited by

  • 2020Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm43 cited

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