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.
Highlights
IntroductionPrevious investigations found that 15–20% of fatal crashes involve driver fatigue [3,4,5]
Fatigue driving is one of the main causes of traffic accidents [1,2]
Studies have shown that repetitive and monotonous external environmental information can lead human beings to be in a state of mental fatigue, in which our brain activity is inhibited [50,51,52]
Summary
Previous investigations found that 15–20% of fatal crashes involve driver fatigue [3,4,5]. It is necessary to quickly and accurately detect driving fatigue and take measures to relieve it in time. Researchers have mainly studied the problem of driving fatigue detection from subjective and objective aspects. The former type of judgment of driving fatigue is mainly based on the subjective judgment of the driver [6]. The latter mainly judges driving fatigue based on physiological characteristics of drivers. Previous studies have found that human physiological signals, such as electrocardiogram (ECG), electrooculogram (EOG)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
