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HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning

机译：Hybridfatigue：使用混合特征和转移学习的实时驱动器嗜睡检测

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Qaisar Abbas;
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1. Robust real-time driver drowsiness detection based on image processing and feature extraction methods [J] . Maryam Keyvanara, Nasrin Salehi, Amirhassan Monadjemi International Journal of Vehicle Safety . 2018,第1期

机译：基于图像处理和特征提取方法的鲁棒实时驱动器跳转检测
2. Design and Implementation of a Hybrid Fuzzy-Reinforcement Learning Algorithm for Driver Drowsiness Detection Using a Driving Simulator [J] . Armin Kassemi Langroodi, Ali Nahvi SAE International Journal of Commercial Vehicles . 2018,第1期

机译：使用驾驶模拟器的驾驶员跳跃检测混合模糊加固学习算法的设计与实现
3. Cross-subject driver status detection from physiological signals based on hybrid feature selection and transfer learning [J] . Chen Lan-lan, Zhang Ao, Lou Xiao-guang Expert Systems with Application . 2019,第DECa期

机译：基于混合特征选择和转移学习的生理信号跨学科驾驶员状态检测
4. Joint Shape and Local Appearance Features for Real-Time Driver Drowsiness Detection [C] . Jie Lyu, Hui Zhang, Zejian Yuan Asian conference on computer vision;Workshop on new trends in image restoration and enhancement;Workshop on assistive vision;ACCV workshop on hyperspectral image and signal processing;Workshop on computer vision technologies for smart vehicle;Workshop on spontaneous facial behavior analysis;Workshop on 3D modelling and applications;ACCV workshop on e-heritage;Workshop on multiview lip-reading challenges;Workshop on facial informatics;Workshop on discrete geometry and mathematical morphology for computer vision;Workshop on mathematical and computational methods in biomedical imaging and image analysis;International workshop on driver drowsiness detection from video;Workshop on meeting HCI with CV;Workshop on human identification for surveillance methods and applications;Workshop on benchmark and evaluation of surveillance task;Workshop on computer vision for affective computing;Workshop on interpretation and visualization of deep neural nets . 2017

机译：关节形状和局部外观功能可实时检测驾驶员的睡意
5. Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection [D] . Babaeian, Mohsen. 2020

机译：驾驶员跳转检测的建模，设计和应用机器学习算法
6. A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification [O] . Samy Bakheet, Ayoub Al-Hamadi 2021

机译：基于改进的猪特征和幼稚贝叶斯分类瞬时驱动器嗜睡检测框架
7. Robust real-time driver drowsiness detection based on image processing and feature extraction methods [O] . Maryam Keyvanara, Nasrin Salehi, Amirhassan Monadjemi 2018

机译：基于图像处理和特征提取方法的鲁棒实时驱动器跳转检测
8. Real-Time Nonintrusive Detection of Driver Drowsiness: Phase II [R] . Yu, X. 2010

机译：驾驶员困倦的实时非侵入性检测：第二阶段

HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning

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