Image-Based Fatigue Detection of Vehicle Driver: State-of-the-Art and Reference Model-Reference-Cited by-同舟云学术

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Image-Based Fatigue Detection of Vehicle Driver: State-of-the-Art and Reference Model

Published:2021-10-27 Issue: Volume: Page:
ISSN:
Container-title:2021 30th Conference of Open Innovations Association FRUCT
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Author:

Bulygin Alexandr,Kashevnik Alexey

Funder

Russian Foundation for Basic Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9599956/9599957/09599990.pdf?arnumber=9599990

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Analysis of Driver Drowsiness Detection Using Electromyography (EMG) Facial Muscles;Lecture Notes in Electrical Engineering;2024

2. A new method for monitoring the state of drivers-occupant based on infrared 3D camera;2022 China Automation Congress (CAC);2022-11-25

3. Methodology for in-the-Wild Driver Monitoring Dataset Formation;2022 31st Conference of Open Innovations Association (FRUCT);2022-04-27

4. Threats Detection during Human-Computer Interaction in Driver Monitoring Systems;Sensors;2022-03-19

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