Open Access
6 March 2017 Synergetic use of thermal and visible imaging techniques for contactless and unobtrusive breathing measurement
Meng-Han Hu, Guang-Tao Zhai, Duo Li, Ye-Zhao Fan, Xiao-Hui Chen, Xiao-Kang Yang
Author Affiliations +
Abstract
We present a dual-mode imaging system operating on visible and long-wave infrared wavelengths for achieving the noncontact and nonobtrusive measurements of breathing rate and pattern, no matter whether the subjects use the nose and mouth simultaneously, alternately, or individually when they breathe. The improved classifiers in tandem with the biological characteristics outperformed the custom cascade classifiers using the Viola–Jones algorithm for the cross-spectrum detection of face and nose as well as mouth. In terms of breathing rate estimation, the results obtained by this system were verified to be consistent with those measured by reference method via the Bland–Altman plot with 95% limits of agreement from 2.998 to 2.391 and linear correlation analysis with a correlation coefficient of 0.971, indicating that this method was acceptable for the quantitative analysis of breathing. In addition, the breathing waveforms extracted by the dual-mode imaging system were basically the same as the corresponding standard breathing sequences. Since the validation experiments were conducted under challenging conditions, such as the significant positional and abrupt physiological variations, we stated that this dual-mode imaging system utilizing the respective advantages of RGB and thermal cameras was a promising breathing measurement tool for residential care and clinical applications.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Meng-Han Hu, Guang-Tao Zhai, Duo Li, Ye-Zhao Fan, Xiao-Hui Chen, and Xiao-Kang Yang "Synergetic use of thermal and visible imaging techniques for contactless and unobtrusive breathing measurement," Journal of Biomedical Optics 22(3), 036006 (6 March 2017). https://doi.org/10.1117/1.JBO.22.3.036006
Received: 27 October 2016; Accepted: 21 February 2017; Published: 6 March 2017
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CITATIONS
Cited by 50 scholarly publications and 1 patent.
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KEYWORDS
Nose

Mouth

Thermography

Imaging systems

Facial recognition systems

Video

Tissues

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