Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network-Reference-Cited by-同舟云学术

Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network

Published:2021-05-04 Issue:20 Volume:33 Page:13965-13980
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhu Miankuan,Chen Jiangfan,Li Haobo,Liang Fujian,Han Lei,Zhang Zutao^ORCID

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06038-y.pdf

Reference44 articles.

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3. PRECISE NUMBERS OF DROWSY-DRIVING CRASHES, INJURIES, AND FATALITIES ARE HARD TO NAIL DOWN. https://www.nhtsa.gov/risky-driving/drowsy-driving, accessed November 2020

4. Eyetracker Warns against Momentary Driver Drowsiness. http://www.fraunhofer.de/en/press/research-news/2010/10/eye-tracker-driver-drowsiness.html, accessed November 2020

5. Kaplan S, Guvensan MA, Yavuz AG, Karalurt Y (2015) Driver behavior analysis for safe driving: a survey. IEEE Trans Intell Transp Syst 16(6):3017–3032

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