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

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 eff...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-11, Vol.19 (22), p.4883
Main Authors: Wang, Fuwang, Xu, Qing, Fu, Rongrong
Format: Article
Language:English
Subjects:
Accidents, Traffic
Algorithms
Automobile Driving
Brain - physiology
brain network
Brain research
driving fatigue relieving
Electrodes
Electroencephalography
Electroencephalography - methods
Electrooculography - methods
Experiments
eye movement
Eye movements
Eye Movements - physiology
Fatigue
Fatigue - physiopathology
Humans
Humidity
Information storage
Laboratories
mrm
Physiology
Sleep
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19224883