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Driver drowsiness recognition based on computer vision technology
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Driver drowsiness recognition based on computer vision technology (2012)Driver drowsiness recognition based on co…A systematic review on detection and prediction of driver drowsiness (2023)A systematic review on detect…Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques (2022)Driver Drowsiness Prediction …Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning (2021)Early Identification and Dete…Driver Fatigue Detection Using Viola Jones and Principal Component Analysis (2020)Driver Fatigue Detection Usin…Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection (2020)Assessment of the Potential o…Non-intrusive Driver Drowsiness Detection based on Face and Eye Tracking (2019)Non-intrusive Driver Drowsine…Cross-subject driver status detection from physiological signals based on hybrid feature selection and transfer learning (2019)Cross-subject driver status d…A Hybrid Scheme for Drowsiness Detection Using Wearable Sensors (2019)A Hybrid Scheme for Drowsines…Driver drowsiness detection using hybrid convolutional neural network and long short-term memory (2018)Driver drowsiness detection u…Driver Classification Based on Driving Behaviors (2016)Driver Classification Based o…Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification (2007)Leveraging sensor information from portable devices towards automatic driving maneuver recognition (2012)Driver classification and driving style recognition using inertial sensors (2013)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions (2021)A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning (2022)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Drowsiness detection using heart rate variability (2016)Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets (2018)Fatigue driving detection based on electrooculography: a review (2021)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Emotion recognition framework using multiple modalities for an effective human–computer interaction (2023)Quantification of Sleepiness: A New Approach (1973)Subjective and Objective Sleepiness in the Active Individual (1990)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)Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals (2022)The Measurement of Observer Agreement for Categorical Data (1977)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)A systematic review of physiological signals based driver drowsiness detection systems (2022)Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition (2023)Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)Driver Behavior Analysis for Safe Driving: A Survey (2015)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)YawDD (2014)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)
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  • 2020Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection107 cited
  • 2018Driver drowsiness detection using hybrid convolutional neural network and long short-term memory100 cited
  • 2021Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning93 cited
  • 2023A systematic review on detection and prediction of driver drowsiness80 cited
  • 2019Cross-subject driver status detection from physiological signals based on hybrid feature selection and transfer learning76 cited
  • 2019A Hybrid Scheme for Drowsiness Detection Using Wearable Sensors67 cited
  • 2016Driver Classification Based on Driving Behaviors66 cited
  • 2020Driver Fatigue Detection Using Viola Jones and Principal Component Analysis60 cited
  • 2022Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques60 cited
  • 2019Non-intrusive Driver Drowsiness Detection based on Face and Eye Tracking58 cited

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