Mat Ibrahim, Masrullizam and Soraghan, John J. and Petropoulakis, Lykorgous (2013) Mouth covered detection for yawn. In: International Conference on Signal and Image Processing Applications (lCSIPA), August 2013, Melaka.
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Abstract
Yawn is one of the common fatigue sign phenomena. The common technique to detect yawn is based upon the measurement of mouth opening. However, the spontaneous human action to cover the mouth during yawn can prevent such measurements. This paper presents a new technique to detect the covered mouth by employing the Local Binary Pattern (LBP) features. Subsequently, the facial distortions during the yawn process are identified by measuring the changes of wrinkles using Sobel edges detector. In this research the Strathclyde Facial Fatigue (SFF) database that contains genuine fatigue signs is used for training, testing and evaluation of the developed algorithms. This database was created from sleep deprivation experiments that involved twenty participants.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | yawn,fatigue,mouth covered, destortion detection, database. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Electronics and Computer Engineering > Department of Computer Engineering |
| Depositing User: | Dr. Masrullizam Mat Ibrahim |
| Date Deposited: | 22 Jan 2015 01:09 |
| Last Modified: | 28 May 2015 04:35 |
| URI: | http://eprints.utem.edu.my/id/eprint/14028 |
| Statistic Details: | View Download Statistic |
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