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A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device
11 references·0 citing·43 second hop
A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device (2015)A System of Driving Fatigue Detection Bas…Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Measuring neurophysiological …EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions (2011)EEG alpha spindle measures as…Steering Wheel Behavior Based Estimation of Fatigue (2009)Steering Wheel Behavior Based…Using EEG spectral components to assess algorithms for detecting fatigue (2008)Using EEG spectral components…Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness Detection (2007)Evaluation of a Smart Algorit…Driver Fatigue Detection: A Survey (2006)Driver Fatigue Detection: A S…Driver Fatigue Detection Based Intelligent Vehicle Control (2006)Driver Fatigue Detection Base…Reproducibility of the spectral components of the electroencephalogram during driver fatigue (2004)Reproducibility of the spectr…Eye-tracking for detection of driver fatigue (2002)Eye-tracking for detection of…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A desicion-theoretic generali…Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Driver Fatigue Detection Systems: A Review (2018)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Sleepiness on the job: continuously measured EEG changes in train drivers (1987)A critical review of the psychophysiology of driver fatigue (2001)Driver fatigue: Electroencephalography and psychological assessment (2002)Frequent lapses of responsiveness during an extended visuomotor tracking task in non‐sleep‐deprived subjects (2006)Simulator performance, microsleep episodes, and subjective sleepiness: normative data using convergent methodologies to assess driver drowsiness (2006)Alertness management strategies for operational contexts (2008)Quantification of Sleepiness: A New Approach (1973)Subjective and Objective Sleepiness in the Active Individual (1990)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue (2020)Characteristics of crashes attributed to the driver having fallen asleep (1995)Sleepiness, Driving, and Motor Vehicle Crashes (1998)Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety (2017)A contextual and temporal algorithm for driver drowsiness detection (2018)Sleep related vehicle accidents (1995)Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator (2011)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)SmartCar: detecting driver stress (2002)Development of an algorithm for an EEG-based driver fatigue countermeasure (2003)Detection of Driver Fatigue Caused by Sleep Deprivation (2009)Driver drowsiness monitoring based on yawning detection (2011)Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection (2019)Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State (2019)Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)Monitoring driver fatigue using facial analysis techniques (2003)A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue (2010)A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers (2013)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions (2014)Evaluating multiple classifiers for stock price direction prediction (2015)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1995A desicion-theoretic generalization of on-line learning and an application to boosting2,384 cited
  • 2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness1,336 cited
  • 2008Using EEG spectral components to assess algorithms for detecting fatigue733 cited
  • 2011EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions268 cited
  • 2006Driver Fatigue Detection: A Survey205 cited
  • 2009Steering Wheel Behavior Based Estimation of Fatigue142 cited
  • 2007Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness Detection141 cited
  • 2002Eye-tracking for detection of driver fatigue135 cited
  • 2004Reproducibility of the spectral components of the electroencephalogram during driver fatigue116 cited
  • 2006Driver Fatigue Detection Based Intelligent Vehicle Control69 cited

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