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Development of vehicle driver drowsiness detection system using electrooculogram (EOG)
2 references·4 citing·27 second hop
Development of vehicle driver drowsiness detection system using electrooculogram (EOG) (2005)Development of vehicle driver drowsiness …A critical review of the psychophysiology of driver fatigue (2001)A critical review of the psyc…REVIEW OF FATIGUE DETECTION AND PREDICTION TECHNOLOGIES (2000)REVIEW OF FATIGUE DETECTION A…Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation (2022)Challenges of Driver Drowsine…A novel approach for driver fatigue detection based on visual characteristics analysis (2021)A novel approach for driver f…Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection (2019)Detecting Driver Drowsiness i…Drowsiness detection during different times of day using multiple features (2013)Drowsiness detection during d…Subjective and Objective Sleepiness in the Active Individual (1990)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Driver drowsiness detection using EEG power spectrum analysis (2014)Mobile-based wearable-type of driver fatigue detection by GSR and EMG (2015)Driver drowsiness detection based on classification of surface electromyography features in a driving simulator (2019)The Relaxation Response (1974)Driver fatigue: Electroencephalography and psychological assessment (2002)Using EEG spectral components to assess algorithms for detecting fatigue (2008)YawDD (2014)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques (2018)Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation (2021)Real time detection of driver fatigue based on CNN‐LSTM (2021)Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions (2024)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Counteracting driver sleepiness: Effects of napping, caffeine, and placebo (1996)Suppression of sleepiness in drivers: Combination of caffeine with a short nap (1997)EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT (1998)Alertness management strategies for operational contexts (2008)Driver’s eye blinking detection using novel color and texture segmentation algorithms (2012)A contextual and temporal algorithm for driver drowsiness detection (2018)
this work references cited by second hop

References

  • 2001A critical review of the psychophysiology of driver fatigue1,008 cited
  • 2000REVIEW OF FATIGUE DETECTION AND PREDICTION TECHNOLOGIES111 cited

Cited by

  • 2019Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection66 cited
  • 2021A novel approach for driver fatigue detection based on visual characteristics analysis66 cited
  • 2013Drowsiness detection during different times of day using multiple features61 cited
  • 2022Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation55 cited

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