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Yawning Detection Using Embedded Smart Cameras
3 references·7 citing·38 second hop
Yawning Detection Using Embedded Smart Cameras (2016)Yawning Detection Using Embedded Smart Ca…YawDD (2014)YawDDDriver drowsiness monitoring based on yawning detection (2011)Driver drowsiness monitoring …Drowsy Driver Detection Through Facial Movement Analysis (2007)Drowsy Driver Detection Throu…Real-time driver fatigue detection system with deep learning on a low-cost embedded system (2023)Real-time driver fatigue dete…Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques (2022)Driver Drowsiness Prediction …A Systematic Survey of Driving Fatigue Monitoring (2022)A Systematic Survey of Drivin…Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection (2021)Two-Stream Spatial–Temporal G…Driver Fatigue Detection Based on Facial Key Points and LSTM (2021)Driver Fatigue Detection Base…Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network (2020)Real-Time System for Driver F…Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals (2020)Machine Learning and End-to-E…Comprehensive database for facial expression analysis (2002)Electroencephalographic study of drowsiness in simulated driving with sleep deprivation (2004)Automatic Recognition of Facial Actions in Spontaneous Expressions (2006)Drowsy driver detection system using eye blink patterns (2010)Drowsy driver detection using representation learning (2014)IoT‐Based Smart Alert System for Drowsy Driver Detection (2021)Driver Fatigue Detection: A Survey (2006)A Driver Face Monitoring System for Fatigue and Distraction Detection (2013)Student Emotion Recognition System (SERS) for e-learning Improvement Based on Learner Concentration Metric (2016)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Serial Order: A Parallel Distributed Processing Approach (1997)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)A systematic review on detection and prediction of driver drowsiness (2023)Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features (2023)Facial Action Coding System (1978)A desicion-theoretic generalization of on-line learning and an application to boosting (1995)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data (2020)Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning (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)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time System for Monitoring Driver Vigilance (2006)Technologies for detecting and monitoring drivers' states: A systematic review (2024)Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features (2024)Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques (2025)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Subjective and Objective Sleepiness in the Active Individual (1990)Development of a fatigue scale (1993)Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)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

  • 2014YawDD294 cited
  • 2007Drowsy Driver Detection Through Facial Movement Analysis232 cited
  • 2011Driver drowsiness monitoring based on yawning detection202 cited

Cited by

  • 2020Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network112 cited
  • 2021Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection105 cited
  • 2020Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals87 cited
  • 2022A Systematic Survey of Driving Fatigue Monitoring81 cited
  • 2021Driver Fatigue Detection Based on Facial Key Points and LSTM75 cited
  • 2022Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques60 cited
  • 2023Real-time driver fatigue detection system with deep learning on a low-cost embedded system57 cited

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