A novel real-time driving fatigue detection system based on wireless dry EEG-Reference-Cited by-同舟云学术

A novel real-time driving fatigue detection system based on wireless dry EEG

Published:2018-02-21 Issue:4 Volume:12 Page:365-376
ISSN:1871-4080
Container-title:Cognitive Neurodynamics
language:en
Short-container-title:Cogn Neurodyn

Author:

Wang Hongtao,Dragomir Andrei,Abbasi Nida Itrat,Li Junhua,Thakor Nitish V.,Bezerianos Anastasios

Funder

Defence Science Organisation (DSO) of Singapore

Technology Development Project of Guangdong Province

Guangdong University Innovation Projects for Science

Jiangmen Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience

Link

http://link.springer.com/article/10.1007/s11571-018-9481-5/fulltext.html

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3. Atchley P, Chan M, Gregersen S (2014) A strategically timed verbal task improves performance and neurophysiological alertness during fatiguing drives. Hum Factors 56(3):453–462

4. Ba Y, Zhang W, Wang Q, Zhou R, Ren C (2017) Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system. Transp Res Part C Emerg Technol 74:22–33

5. Charbonnier S, Roy RN, Bonnet S, Campagne A (2016) Eeg index for control operators mental fatigue monitoring using interactions between brain regions. Expert Syst Appl 52:91–98

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