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Facial features monitoring for real time drowsiness detection
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Facial features monitoring for real time drowsiness detection (2016)Facial features monitoring for real time …Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques (2022)Driver Drowsiness Prediction …Trends and Future Prospects of the Drowsiness Detection and Estimation Technology (2021)Trends and Future Prospects o…Driver drowsiness detection system using hybrid approach of convolutional neural network and bidirectional long short term memory (CNN_BILSTM) (2021)Driver drowsiness detection s…Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures (2013)Detection and prediction of driver drowsiness using artificial neural network models (2017)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)YawDD (2014)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)
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  • 2022Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques60 cited
  • 2021Trends and Future Prospects of the Drowsiness Detection and Estimation Technology51 cited
  • 2021Driver drowsiness detection system using hybrid approach of convolutional neural network and bidirectional long short term memory (CNN_BILSTM)45 cited

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