SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model
15 references·0 citing·45 second hop
Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model (2023)Detection of Drowsiness among Drivers Usi…A systematic review of physiological signals based driver drowsiness detection systems (2022)A systematic review of physio…A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)A Review of Recent Developmen…Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection (2021)Two-Stream Spatial–Temporal G…Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning (2021)Estimation of Driver Vigilanc…Driver Fatigue Detection Based on Facial Key Points and LSTM (2021)Driver Fatigue Detection Base…Real-time classification for autonomous drowsiness detection using eye aspect ratio (2020)Real-time classification for …Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Real Time Driver Fatigue Dete…A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy (2020)A Fatigue Driving Detection A…Design of Real-time Drowsiness Detection System using Dlib (2019)Design of Real-time Drowsines…A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection (2019)A Realistic Dataset and Basel…Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review (2018)Sensor Applications and Physi…Fatigue and its management in the workplace (2018)Fatigue and its management in…Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks (2017)Real-Time Driver Drowsiness D…YawDD (2014)YawDDEfficient driver drowsiness detection at moderate levels of drowsiness (2012)Efficient driver drowsiness d…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)A step-by-step approach to using the SAS system for factor analysis and structural equation modeling (1995)Driver drowsiness detection based on non-intrusive metrics considering individual specifics (2015)An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme (2016)Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks (2017)Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images (2022)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects (1969)Catastrophes, Sleep, and Public Policy: Consensus Report (1988)DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis (2020)Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Detecting driver fatigue using heart rate variability: A systematic review (2022)The International Classification of Sleep Disorders (1991)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)National Sleep Foundation’s sleep time duration recommendations: methodology and results summary (2015)How effective are Fatigue Risk Management Systems (FRMS)? A review (2021)The physical office workplace as a resource for mental health – A systematic scoping review (2021)The risks of using ChatGPT to obtain common safety-related information and advice (2023)Subjective and Objective Sleepiness in the Active Individual (1990)A Spontaneous Micro-expression Database: Inducement, collection and baseline (2013)CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Driver Fatigue Detection: A Survey (2006)Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Human-Machine Shared Driving: Challenges and Future Directions (2022)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose‐response study (2003)Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features (2023)Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach (2025)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time System for Monitoring Driver Vigilance (2006)Driver Fatigue Detection Systems: A Review (2018)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)Approach to an irregular time series on the basis of the fractal theory (1988)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification (2023)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition (2021)
this work references cited by second hop

References

  • 2018Fatigue and its management in the workplace387 cited
  • 2014YawDD294 cited
  • 2017Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks265 cited
  • 2022A Review of Recent Developments in Driver Drowsiness Detection Systems257 cited
  • 2012Efficient driver drowsiness detection at moderate levels of drowsiness220 cited
  • 2019A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection218 cited
  • 2018Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review202 cited
  • 2020Real Time Driver Fatigue Detection System Based on Multi-Task ConNN180 cited
  • 2020Real-time classification for autonomous drowsiness detection using eye aspect ratio176 cited
  • 2021Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection105 cited
  • 2022A systematic review of physiological signals based driver drowsiness detection systems97 cited
  • 2021Driver Fatigue Detection Based on Facial Key Points and LSTM75 cited
  • 2021Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning74 cited
  • 2019Design of Real-time Drowsiness Detection System using Dlib71 cited
  • 2020

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy
56 cited

Cited by

No citing works inside the corpus for this window.