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Proceedings Paper

FPGA realization of a fatigue detection system based on the EEG analysis
Author(s): Guoying Hu; Wenqiang Fan; Yunxue Liu; Junming Hu
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Paper Abstract

A fatigue detection system based on EEG and it’s realization on FPGA were described in this paper, the basic components and the related principles of each module were introduced. The difficulties and innovations in realization on FPGA were given in details as well as some simulation results. This system can be applied to the real-time detecting of drivers' fatigue which can provide forewarning in time. EEG is a kind of weak bioelectricity which is easily interfered by strong noise. The acquired signal passed through a three-stage amplifier before AD converter, then the digital signal entered FPGA. There EEG was decomposed using DWT, some coefficients were deposed as random noise, and the signal was reconstructed to the de-noised one. Then according to the relationship between EEG and tiredness, FPGA calculated the fatigue criterion and gave out forewarning when the value was too large.

Paper Details

Date Published: 14 March 2013
PDF: 6 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87685W (14 March 2013); doi: 10.1117/12.2012478
Show Author Affiliations
Guoying Hu, Yantai Univ. (China)
Wenqiang Fan, Yantai Univ. (China)
Yunxue Liu, Yantai Univ. (China)
Junming Hu, Heze College (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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