SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine
2 references·12 citing·40 second hop
Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine (2017)Detection of Driver Drowsiness Using 3D D…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…Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features (2024)Video-Based Driver Drowsiness…A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety (2024)A Real-Time Vision Transforme…A systematic review on detection and prediction of driver drowsiness (2023)A systematic review on detect…Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets (2022)Attention for Vision-Based As…Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion (2021)Isotropic Self-Supervised Lea…Driver Behavior Classification System Analysis Using Machine Learning Methods (2021)Driver Behavior Classificatio…A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions (2021)A Multi-Stage, Multi-Feature …RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection (2020)RF-DCM: Multi-Granularity Dee…Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM (2020)Driver Drowsiness Recognition…Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures (2020)Applying deep neural networks…Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure (2019)Smart Real-Time Video Surveil…Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic (2018)Detection and Evaluation of D…Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Driver Distraction Detection Using Semi-Supervised Machine Learning (2015)Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals (2020)Automatic driver distraction detection using deep convolutional neural networks (2022)Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021) (2022)Subjective and Objective Sleepiness in the Active Individual (1990)Evaluation of driver drowsiness by trained raters (1994)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals (2022)Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework (2022)Optimized driver fatigue detection method using multimodal neural networks (2025)Facial Action Coding System (1978)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity (2023)Multimodal Emotion Recognition in Response to Videos (2011)A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)Driver Fatigue Detection Systems: A Review (2018)A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation (2023)Multimodal driver distraction detection using dual-channel network of CNN and Transformer (2023)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)Driver fatigue: Electroencephalography and psychological assessment (2002)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Real-Time System for Monitoring Driver Vigilance (2006)Design and Evaluation for Situation Awareness Enhancement (1988)Where we look when we steer (1994)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Detecting Driver Drowsiness Based on Sensors: A Review (2012)Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? (2008)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)A Survey on State-of-the-Art Drowsiness Detection Techniques (2019)Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior (2024)Technologies for detecting and monitoring drivers' states: A systematic review (2024)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

Cited by

  • 2018Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic98 cited
  • 2020Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures87 cited
  • 2023A systematic review on detection and prediction of driver drowsiness80 cited
  • 2021A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions68 cited
  • 2022Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets65 cited
  • 2024Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features61 cited
  • 2021Driver Behavior Classification System Analysis Using Machine Learning Methods55 cited
  • 2021Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion53 cited
  • 2019Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure52 cited
  • 2020RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection51 cited
  • 2020Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM

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

47 cited
  • 2024A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety39 cited