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Yawn analysis with mouth occlusion detection

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 th...

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Main Author: Mat Ibrahim, Masrullizam
Format: Article
Language:English
Published: 2015
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/14506/1/Yawn_analysis_with_mouth_occlusion_detection.pdf
http://eprints.utem.edu.my/id/eprint/14506/
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spelling my.utem.eprints.145062015-05-28T04:38:39Z http://eprints.utem.edu.my/id/eprint/14506/ Yawn analysis with mouth occlusion detection Mat Ibrahim, Masrullizam T Technology (General) 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. 2015-02-09 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14506/1/Yawn_analysis_with_mouth_occlusion_detection.pdf Mat Ibrahim, Masrullizam (2015) Yawn analysis with mouth occlusion detection. Biomedical Signal Processing and Control, 18. pp. 360-369. ISSN 1746-8094
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mat Ibrahim, Masrullizam
Yawn analysis with mouth occlusion detection
description 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.
format Article
author Mat Ibrahim, Masrullizam
author_facet Mat Ibrahim, Masrullizam
author_sort Mat Ibrahim, Masrullizam
title Yawn analysis with mouth occlusion detection
title_short Yawn analysis with mouth occlusion detection
title_full Yawn analysis with mouth occlusion detection
title_fullStr Yawn analysis with mouth occlusion detection
title_full_unstemmed Yawn analysis with mouth occlusion detection
title_sort yawn analysis with mouth occlusion detection
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/14506/1/Yawn_analysis_with_mouth_occlusion_detection.pdf
http://eprints.utem.edu.my/id/eprint/14506/
_version_ 1665905594948648960
score 13.211869

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