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Hierarchical deep neural networks to detect driver drowsiness · Study

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ArticleHierarchical deep neural networks to detect driver drowsiness

Samaneh Jamshidi2021

Article2021

Hierarchical deep neural networks to detect driver drowsiness

Samaneh Jamshidi · Reza Azmi · Mehran Sharghi · Mohsen Soryani

43 citations·0/0 files stored·Multimedia Tools and Applications

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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 2015Driver Behavior Analysis for Safe Driving: A Survey 2006Subjective sleepiness, simulated driving performance and blink duration: examining individual differences 2016Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State 2017Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network 2013Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring 2017Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions 2017Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks

Cited by

2024IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture 2025Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models

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2021Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detectionarticle · 7 shared references 2020Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTMarticle · 7 shared references 2019Driver Monitoring Using Sparse Representation With Part-Based Temporal Face Descriptorsarticle · 6 shared references 2020RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detectionarticle · 6 shared references 2021Research on fatigue detection based on visual featuresarticle · 6 shared references 2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysisreview · 5 shared references

Details

Year2021

Typearticle

Published2021-02-08

VenueMultimedia Tools and Applications

ISSN-L1380-7501

Languageen

Citations43

Files0 public / 0

ShelfSleep and Work-Related Fatigue

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doi10.1007/s11042-021-10542-7

openalex_workW3126439738

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