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Investigating Driver Fatigue versus Alertness Using the Granger Causality Network

  • Published:2015-08-05 Issue:8 Volume:15 Page:19181-19198
  • ISSN:1424-8220
  • Container-title:Sensors
  • language:en
  • Short-container-title:Sensors

Author:

Kong Wanzeng,Lin Weicheng,Babiloni Fabio,Hu Sanqing,Borghini Gianluca

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference51 articles.

1. A driver fatigue recognition model using fusion of multiple features;Yang;IEEE Int. Conf. Syst. Man Cybern.,2005

2. Real-time nonintrusive monitoring and prediction of driver fatigue;Ji;IEEE Trans. Veh. Technol.,2004

3. A driver fatigue recognition model based on information fusion and dynamic Bayesian network;Yang;Inf. Sci.,2010

4. EEG-based drowsiness estimation for safety driving using independent component analysis;Lin;IEEE Trans. Circuits Syst. I,2005

5. EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions;Simon;Clin. Neurophysiol.,2011

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