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Tracing the Region of Interest in Thermal Human Face for Respiration Monitoring
Author(s) -
Farah Q. Al-Khalidi,
Reza Saatchi,
Heather Elphick,
Derek Burke
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/21059-3716
Subject(s) - region of interest , computer science , breathing , nose , computer vision , face (sociological concept) , respiration , thermal manikin , artificial intelligence , tracing , biomedical engineering , materials science , medicine , anatomy , thermal insulation , social science , layer (electronics) , sociology , composite material , operating system
Monitoring respiration rate, i.e. the rate air is inhaled and exhaled is an important indicator of an individual’s health. Respiration rate is generally measured using sensors attached to the patient's body. These contact based methods have a number of limitations, for example the attached sensor can cause discomfort to the patients. A novel, automated, non-contact based method of respiration monitoring, based on thermal imaging of the skin surface centered on the tip of the nose for the nose breathing as well as the mouth region for the mouth breathing. These methods are developed as well as the Image processing techniques were used to enhance the thermal images, remove unwanted noise and segmented the ROI. In this study the shape and size of the region of interest (ROI) are investigated. The ROI represents the facial affected area most affected by exhaled air temperature changes. This area is the tip of the nose and the upper lip for the nose breathing and the mouth area for the mouth breathing. Segmenting the ROI was considered an important task in monitoring respiration by thermal imaging.

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