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Proceedings Paper

Embedded system based driver drowsiness detection system
Author(s): Syed Zahidul Islam; Mohd Alauddin Mohd Ali; Razali bin Jidin; Syed Zahurul Islam
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Paper 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.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754614 (26 February 2010); doi: 10.1117/12.856005
Show Author Affiliations
Syed Zahidul Islam, Univ. Kebangsaan Malaysia (Malaysia)
Mohd Alauddin Mohd Ali, Univ. Tenaga Nasional (Malaysia)
Razali bin Jidin, Univ. Tenaga Nasional (Malaysia)
Syed Zahurul Islam, Univ. Tenaga Nasional (Malaysia)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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