7 November 2017 Contactless physiological signals extraction based on skin color magnification
Kun Ha Suh, Eui Chul Lee
Author Affiliations +
Abstract
Although the human visual system is not sufficiently sensitive to perceive blood circulation, blood flow caused by cardiac activity makes slight changes on human skin surfaces. With advances in imaging technology, it has become possible to capture these changes through digital cameras. However, it is difficult to obtain clear physiological signals from such changes due to its fineness and noise factors, such as motion artifacts and camera sensing disturbances. We propose a method for extracting physiological signals with improved quality from skin colored-videos recorded with a remote RGB camera. The results showed that our skin color magnification method reveals the hidden physiological components remarkably in the time-series signal. A Korea Food and Drug Administration-approved heart rate monitor was used for verifying the resulting signal synchronized with the actual cardiac pulse, and comparisons of signal peaks showed correlation coefficients of almost 1.0. In particular, our method can be an effective preprocessing before applying additional postfiltering techniques to improve accuracy in image-based physiological signal extractions.
© 2017 SPIE and IS&T 1017-9909/2017/$25.00 © 2017 SPIE and IS&T
Kun Ha Suh and Eui Chul Lee "Contactless physiological signals extraction based on skin color magnification," Journal of Electronic Imaging 26(6), 063003 (7 November 2017). https://doi.org/10.1117/1.JEI.26.6.063003
Received: 13 May 2017; Accepted: 17 October 2017; Published: 7 November 2017
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Skin

Heart

Cameras

Video

Signal to noise ratio

Chromium

RGB color model

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