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Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems · Study

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ArticleFully automated real time fatigue detection of drivers through Fuzzy Expert Systems

M. Arfan Jaffar2014

Article2014

Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems

M. Arfan Jaffar · Anwar Majeed Mirza

131 citations·0/0 files stored·Applied Soft Computing

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Sleep and Work-Related Fatigue Human-Automation Interaction and Safety Face recognition and analysis

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References

2006Real-Time System for Monitoring Driver Vigilance 2002Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance 2002SmartCar: detecting driver stress 2006Driver Fatigue Detection: A Survey 2002Development of drowsiness detection system

Cited by

2018Detecting mental fatigue from eye-tracking data gathered while watching video: Evaluation in younger and older adults 2021Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection 2021Using long short term memory and convolutional neural networks for driver drowsiness detection 2020Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals 2017Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor 2019Cross-subject driver status detection from physiological signals based on hybrid feature selection and transfer learning 2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)

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2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysisreview · 4 shared references 2011Vision-based method for detecting driver drowsiness and distraction in driver monitoring systemarticle · 3 shared references 2008Driver Fatigue Detection Using Mouth and Yawning Analysisarticle · 3 shared references 2005Real-time system for monitoring driver vigilanceother · 3 shared references 2014Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detectionarticle · 3 shared references 2017Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensorarticle · 3 shared references

Details

Year2014

Typearticle

Published2014-01-25

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations131

Files0 public / 0

ShelfSleep and Work-Related Fatigue

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doi10.1016/j.asoc.2014.01.020

openalex_workW2019304502

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2021

A comprehensive review of approaches to detect fatigue using machine learning techniques