Publication: Embedded system based driver drowsiness detection system
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Date
2010
Authors
Islam S.Z.
Mohd Ali M.A.
Bin Jidin R.
Islam S.Z.
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Abstract
This paper presents a System-on-Chip (SoC) visual-based driver drowsiness detection system. The system is able to promptly detect the onset of driver drowsiness by monitoring in real-time the accumulated driver's PERCLOS, i.e. proportion of time driver's eyes are closed in a 1-minute interval through non-intrusive camera(s). FPGA hardware is used as its processing platform along with Viola-Jones object detection algorithm. Viola-Jones algorithm uses Haar-like features along with AdaBoost algorithm to achieve good detection performance. � 2010 Copyright SPIE - The International Society for Optical Engineering.
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Keywords
Adaptive boosting , Application specific integrated circuits , Image processing , Imaging systems , Programmable logic controllers , AdaBoost algorithm , Detection performance , Driver drowsiness , Haar-like features , Non-intrusive , Object detection algorithms , PERCLOS , Processing platform , System-On-Chip , Digital image storage