Yawn analysis with mouth occlusion detection
Mat Ibrahim, Masrullizam and Soraghan, John J. and Petropoulakis, Lykourgos and Di Caterina, Gaetano (2015) Yawn analysis with mouth occlusion detection. Biomedical Signal Processing and Control, 18. pp. 360-369. ISSN 1746-8094 (https://doi.org/10.1016/j.bspc.2015.02.006)
Preview |
PDF.
Filename: Ibrahim_etal_BSPC2015_yawn_analysis_with_mouth_occlusion_detection.pdf
Accepted Author Manuscript License: Download (888kB)| Preview |
Abstract
One of the most common signs of tiredness or fatigue is yawning. Naturally, identification of fatigued individuals would be helped if yawning is detected. Existing techniques for yawn detection are centred on measuring the mouth opening. This approach, however, may fail if the mouth is occluded by the hand, as it is frequently the case. The work presented in this paper focuses on a technique to detect yawning whilst also allowing for cases of occlusion. For measuring the mouth opening, a new technique which applies adaptive colour region is introduced. For detecting yawning whilst the mouth is occluded, Local Binary Pattern (LBP) features are used to also identify facial distortions during yawning. In this research, the Strathclyde Facial Fatigue (SFF) database which contains genuine video footage of fatigued individuals is used for training, testing and evaluation of the system.
ORCID iDs
Mat Ibrahim, Masrullizam, Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391, Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670 and Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897;-
-
Item type: Article ID code: 51866 Dates: DateEvent1 April 2015Published6 March 2015Published Online9 February 2015AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Medicine > Other systems of medicineDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 23 Feb 2015 14:35 Last modified: 22 Sep 2024 00:47 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/51866