A driver fatigue recognition model based on information fusion and dynamic Bayesian network

Authors:
Guosheng Yang;Yingzi Lin;Prabir Bhattacharya
Affiliations:
Minzu University of China, School of Information Engineering, Beijing 475001, PR China;Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA 02115, USA;University of Cincinnati, Department of Computer Science, Cincinnati, OH 45221-0030, USA
Venue:
Information Sciences: an International Journal
Year:
2010

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Abstract

We propose a driver fatigue recognition model based on the dynamic Bayesian network, information fusion and multiple contextual and physiological features. We include features such as the contact physiological features (e.g., ECG and EEG), and apply the first-order Hidden Markov Model to compute the dynamics of the Bayesian network at different time slices. The experimental validation shows the effectiveness of the proposed system; also it indicates that the contact physiological features (especially ECG and EEG) are significant factors for inferring the fatigue state of a driver.