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Driver fatigue detection based on deeply-learned facial expression representation · Study

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ArticleDriver fatigue detection based on deeply-learned facial expression representation

Zhongmin Liu2019

Article2019

Driver fatigue detection based on deeply-learned facial expression representation

Zhongmin Liu · Yuxi Peng · Wenjin Hu

102 citations·0/0 files stored·Journal of Visual Communication and Image Representation

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Sleep and Work-Related Fatigue Emotion and Mood Recognition Face recognition and analysis

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2020Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis 2021Driver Fatigue Detection Based on Facial Key Points and LSTM 2022Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021 2023A CNN-Based Wearable System for Driver Drowsiness Detection 2022A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features 2023Driver’s facial expression recognition: A comprehensive survey 2022Real-time fatigue driving detection system based on multi-module fusion

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Year2019

Typearticle

Published2019-11-25

VenueJournal of Visual Communication and Image Representation

ISSN-L1047-3203

Languageen

Citations102

Files0 public / 0

ShelfSleep and Work-Related Fatigue

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doi10.1016/j.jvcir.2019.102723

openalex_workW2989609593

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