A Novel Vehicle Speed Control Based on Driver’s Vigilance Detection Using EEG and Sparse Representation

Abstract:

Drowsy driving is deemed to be an important factor in many traffic accidents. Current vigilance detection systems are usually based on the expression of the driver recorded in video. These existing systems can only warning the driver when they are in fatigue and video-based analysis can’t detect the driver’s Pseudo-fatigue. In this paper, we propose a novel vehicle speed control based on driver’s vigilance detection using electroencephalographic (EEG) and Sparse representation. The proposed system consists of the vigilance detection module and the vehicle speed control module. In vigilance detection module, preprocessing and sparse representation classification (SRC), the classification of driver’s vigilance, are implemented in EEG to get the vigilance degree of driver. In vehicle speed control module, the Electronic Control Unit (ECU) control the electronic throttle and Anti-lock Brake System (ABS) so as to make vehicle speed keeping at the original level or down to zero according to the signal of vigilance degree. The last performance evaluation demonstrates the validity of the proposed vehicle speed control based on driver’s vigilance.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 607-611
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.607
• Online since: September 2014
• Authors: Dian Yuan Luo, Zu Tao Zhang*
• Keywords: Electroencephalographic (EEG), Electronic Control Unit (ECU), Sparse Representation (SR), Vehicle Speed Control

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