Yawn analysis with mouth occlusion detection

Mat Ibrahim, Masrullizam (2015) Yawn analysis with mouth occlusion detection. Biomedical Signal Processing and Control, 18. pp. 360-369. ISSN 1746-8094

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tOne of the most common signs of tiredness or fatigue is yawning. Naturally, identification of fatiguedindividuals would be helped if yawning is detected. Existing techniques for yawn detection are centred onmeasuring the mouth opening. This approach, however, may fail if the mouth is occluded by the hand, as itis frequently the case. The work presented in this paper focuses on a technique to detect yawning whilstalso allowing for cases of occlusion. For measuring the mouth opening, a new technique which appliesadaptive colour region is introduced. For detecting yawning whilst the mouth is occluded, local binarypattern (LBP) features are used to also identify facial distortions during yawning. In this research, theStrathclyde Facial Fatigue (SFF) database which contains genuine video footage of fatigued individuals isused for training, testing and evaluation of the system.

Item Type: Article
Uncontrolled Keywords: yawn analysis, mouth occlusion detection
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: 21 May 2015 08:10
Last Modified: 28 May 2015 04:38
URI: http://eprints.utem.edu.my/id/eprint/14506
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