Indexed by:会议论文

Date of Publication:2017-04-16

Included Journals:EI、CPCI-S、Scopus

Page Number:485-489

Key Words:driver fatigue; EEG; Brain networks

Abstract:Driving mental fatigue is a contributing factor that causes thousands of traffic accidents. Functional brain networks are supposed to reflect the interaction dynamics between different brain regions. To investigate the interactions among distributed brain regions of drivers, we constructed binary brain networks from EEG data of the mental fatigue induced by the simulated driving task. Clustering coefficient, characteristic path length and global efficiency served as statistical network characteristics. Based on the network characteristic analysis, a calculation method of fatigue index was proposed. The results showed that the number of the brain network links decreases with the accumulation of the fatigue. The fatigue index embodied the risk of driving fatigue.