TY  - JOUR
PY  - 2019//
TI  - Study on the effect of man-machine response mode to relieve driving fatigue based on EEG and EOG
JO  - Sensors (Basel)
A1  - Wang, Fuwang
A1  - Xu, Qing
A1  - Fu, Rongrong
SP  - s19224883
EP  - s19224883
VL  - 19
IS  - 22
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s19224883
ID  - ref1
ER  -