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A Multi-Modal Driver Fatigue and Distraction Assessment System · Study

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ArticleA Multi-Modal Driver Fatigue and Distraction Assessment System

Céline Craye2015

Article2015

A Multi-Modal Driver Fatigue and Distraction Assessment System

Céline Craye · Abdullah M. Rashwan · Mohamed S. Kamel · Fakhri Karray

96 citations·0/0 files stored·International Journal of Intelligent Transportation Systems Research

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Sleep and Work-Related Fatigue Traffic and Road Safety Human-Automation Interaction and Safety

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References

2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 2001A critical review of the psychophysiology of driver fatigue 2004Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue 2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review 2006Real-Time System for Monitoring Driver Vigilance 2002Driver fatigue: Electroencephalography and psychological assessment 2003Driver distraction: A review of the literature 2008Driver Distraction

Cited by

2018Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic 2020Distracted driver detection by combining in-vehicle and image data using deep learning 2021A survey on vision-based driver distraction analysis 2020Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing 2023Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity 2019

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2013Real-Time Detection System of Driver Distraction Using Machine Learningarticle · 7 shared references 2015Driver distraction detection and recognition using RGB-D sensorpreprint · 7 shared references 2016Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Dataarticle · 5 shared references 2019Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challengesarticle · 5 shared references 2020Multimodal Features for Detection of Driver Stress and Fatigue: Reviewarticle · 5 shared references 2021Survey and Synthesis of State of the Art in Driver Monitoringreview · 5 shared references

Details

Year2015

Typearticle

Published2015-03-09

VenueInternational Journal of Intelligent Transportation Systems Research

ISSN-L1348-8503

Languageen

Citations96

Files0 public / 0

ShelfSleep and Work-Related Fatigue

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doi10.1007/s13177-015-0112-9

openalex_workW2015393976

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Assessment of Driver Mental Fatigue Using Facial Landmarks