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Detection of Blink State Based on Fatigued Driving Cover

Detection of Blink State Based on Fatigued Driving

International Journal of Advanced Network, Monitoring and Controls
Volume 4 (2019): Issue 4 (January 2019)
By: Lei Chao,  Wang Changyuan,  Li Guang and  Shi Lu  
Open Access
|Jan 2020

Authors

Lei Chao

callofduty2015@163.com

School of computer science and engineering, Xi’an Technological University, Xi’an, China

Wang Changyuan

cyw901@163.com

School of computer science and engineering, Xi’an Technological University, Xi’an, China

Li Guang

865413666@qq.com

School of computer science and engineering, Xi’an Technological University, Xi’an, China

Shi Lu

892178238@qq.com

School of computer science and engineering, Xi’an Technological University, Xi’an, China
DOI: https://doi.org/10.21307/ijanmc-2019-067 | Journal eISSN: 2470-8038
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Language: English
Page range: 24 - 29
Published on: Jan 27, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Blinking Algorithm,
Fatigue Detection,
Digital Image Processing,
Clustering Algorithm,
Key Points Of Human Eyes
Related subjects:
Computer sciences,
Computer sciences, other

© 2020 Lei Chao, Wang Changyuan, Li Guang, Shi Lu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.

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