Yawning Detection Based on Mouth Feature Points Curve Fitting

Wu Yang Ding; Ling Zhang; Yun Hua Chen

doi:10.4028/www.scientific.net/AMR.605-607.2227

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Yawning Detection Based on Mouth Feature Points...

Yawning Detection Based on Mouth Feature Points Curve Fitting

Abstract:

A yawning detection method which can be used in drivers’ fatigue monitoring is proposed. To adapt to the variance in different mouth shapes and sizes, it based on mouth inner contour corner detection and curve fitting. First, the Harris corner detection algorithm was used to detect inner mouth feature points. Second, we established the open mouths’ mathematical model by curve fitting those points, calculated the degree of mouth openness using the mouth model, and generated the real-time M-curve. Third, the duration of big openness in successive images is divided into levels for further judgment. The validation results show that the method can obtain more precise mouth parameters and distinguish yawn from complex mouth activities. So the method achieves a higher level of accuracy.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2227-2231

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.2227

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Online since:

December 2012

Authors:

Wu Yang Ding, Ling Zhang, Yun Hua Chen

Keywords:

Contour Extraction, Mouth Location, Quadratic Fitting, Yawning Detection

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