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Abstract
Remote estimation of vital signs is an important and active area of research. The goal of this work was to analyze the feasibility of estimating respiration parameters from video sequences of faces recorded using a mobile thermal camera. Different estimators were analyzed and experimentally verified. It was demonstrated that the respiration rate, periodicity of respiration, and presence and length of apnea periods could be reliably estimated from signals recorded using a portable thermal camera. The size of the camera and efficiency of the methods allow the implementation of this method in smart glasses.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Biocybernetics and Biomedical Engineering
no. 36,
edition 4,
pages 731 - 741,
ISSN: 0208-5216 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Rumiński J.: Analysis of the parameters of respiration patterns extracted from thermal image sequences// Biocybernetics and Biomedical Engineering. -Vol. 36, iss. 4 (2016), s.731-741
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.bbe.2016.07.006
- Verified by:
- Gdańsk University of Technology
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