A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data-Reference-Cited by-同舟云学术

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A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data

Published:2024-04 Issue: Volume:464 Page:114898
ISSN:0166-4328
Container-title:Behavioural Brain Research
language:en
Short-container-title:Behavioural Brain Research

Author:

He Le^ORCID,Zhang Li^ORCID,Sun Qiang,Lin XiangTian

Publisher

Elsevier BV

Reference38 articles.

1. On the brain wave activity of professional drivers during monotonous work;Idogawa;Behaviormetrika,1991

2. Preventing Road Traffic Injury: A Public Health Perspective for Europe;Racioppi,2004

3. Crash severity analysis of vulnerable road users using machine learning;Komol;PLoS One,2021

4. Driver mental fatigue detection based on head posture using new modified reLU-BiLSTM deep neural network;Ansari;IEEE Trans. Intell. Transp. Syst.,2022

5. A multimodal fusion fatigue driving detection method based on heart rate and Perclos;Du;IEEE Trans. Intell. Transp. Syst.,2022

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