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Open AccessArticle

Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG

by Fuwang Wang 1,*, Qing Xu 1 and Rongrong Fu 2
1
School of Mechanic Engineering, Northeast Electric Power University, Jilin 132012, China
2
College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 4883; https://doi.org/10.3390/s19224883
Received: 17 September 2019 / Revised: 29 October 2019 / Accepted: 4 November 2019 / Published: 8 November 2019
(This article belongs to the Section Biosensors)
Rapid and accurate detection of driver fatigue is of great significance to improve traffic safety. In the present work, we propose the man-machine response mode (MRM) to relieve driver fatigue caused by long-term driving. In this paper, the characteristics of the complex brain network, which can effectively reflect brain activity information, were used to detect the change of driving fatigue over time. Combined with the traditional eye movement characteristics and a subjective questionnaire (SQ), the changes in driving fatigue characteristics were comprehensively analyzed. The results show that driving fatigue can be effectively delayed using the MRM. Additionally, the response equipment is low in cost and practical, so it will be practical to use in actual driving situations in the future. View Full-Text
Keywords: driving fatigue relieving; MRM; brain network; eye movement; SQ driving fatigue relieving; MRM; brain network; eye movement; SQ
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Wang, F.; Xu, Q.; Fu, R. Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG. Sensors 2019, 19, 4883.

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