Assessment of driving fatigue based on intra/inter-region phase synchronization

Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini

Research output: Contribution to journalArticlepeer-review

Abstract

Driver fatigue has been under more attention as it is a main cause of traffic accidents. This paper proposed a method which utilized the inter/intra-region phase synchronization and functional units (FUs) to explore whether EEG synchronization changes from the alert state to the fatigue state. Mean phase coherence (MPC) is adopted as a measure for the phase synchronization. In order to find spatial-frequency features associated with mental state, we studied the intra/inter-region phase synchronization of EEG in different frequencies. The major finding is that EEG synchronizations in delta and alpha bands in frontal and parietal lobe are significantly increased as the mental state of the driver shifted from alertness to fatigue. This finding is simultaneously validated by NASA-Task Load Index (TLX) and Karolinska sleepiness scale (KSS). The statistical analysis results suggest MPC may be used to distinguish between alert and fatigue state of mind. In addition, the another contribution of the work indicates a simple and significant spatial-frequency pair of electrodes, i.e., Fz-Oz in delta band, to evaluate driver fatigue. It helps to implement real-world applications with wearable EEG equipment.
Original languageUndefined/Unknown
Pages (from-to)474-482
Number of pages9
JournalNeurocomputing
Volume219
DOIs
Publication statusPublished - Jan 5 2017

Keywords

  • Driver fatigue
  • EEG
  • Mean phase coherence
  • Phase synchronization
  • Functional unit

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