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Investigation of Facial Region of Interest in Infrared Images for Real-Time Noncontact Respiration Monitoring
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alkali, Abdulkadir Hamidu Saatchi, Reza Elphick, Heather Burke, Derek |
| Copyright Year | 2014 |
| Abstract | In this study thermal imaging was used to monitor respiration rate in a noncontact manner. The main focus was to investigate the shape of a region under the nose (called the region of interest, ROI) and the characterisation of this region by a representative feature to produce a respiration signal from which respiration rate was obtained. It was demonstrated that the respiration signal from a rectangular ROI produces least respiration signal drift as compared with circular and elliptic shapes. The circular ROI provided a larger magnitude respiration signal and the mode of the pixel values contained in it provided the best statistical measure for determining respiration rate as compared with median, standard deviation and mean. Rectangular ROI had a faster response to the changes in RR as compared with the other statistical measures used to represent the ROI. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://qirt.org/archives/qirt2014doi/papers/QIRT-2014-218.pdf |
| Alternate Webpage(s) | http://qirt.gel.ulaval.ca/archives/qirt2014/QIRT%202014%20Papers/QIRT-2014-218.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
