A Driver Fatigue Recognition Model Based on Visual Information and Bayesian Network

Abstract:

Driving fatigue is one of the main reasons of traffic accident. In this field, the method based on multi-source information fusion has been a leading technique. A driver fatigue recognition model based on the Bayesian network was introduced in this paper. The real-time system monitored the state of the driver's features such as eyes, mouth and head movement through computer vision technique, their results were fused with Bayesian network inference algorithm and the final fusion result could be inferred according to the probability values of different variables states. Test results showed that this method could be more reasonably robust, reliable, and accurate in fatigue detection.

• Periodical: Applied Mechanics and Materials (Volumes 152-154)
• Pages: 1165-1171
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.152-154.1165
• Online since: January 2012
• Authors: Ming Heng Zhang, Long Hui Gang, Yi Bing Zhao
• Keywords: Bayesian Network (BN), Driver Fatigue, Machine Vision

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