Citation

Wang F, Xu Q, Fu R. Sensors (Basel) 2019; 19(22): s19224883.

Affiliation

College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s19224883

PMID

31717422

Abstract

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.

Language: en

Keywords

MRM; SQ; brain network; driving fatigue relieving; eye movement