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Journal of Biomedical Optics

Motion robust remote photoplethysmography in CIELab color space
Author(s): Yuting Yang; Chenbin Liu; Hui Yu; Dangdang Shao; Francis Tsow; Nongjian Tao
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Paper Abstract

Remote photoplethysmography (rPPG) is attractive for tracking a subject’s physiological parameters without wearing a device. However, rPPG is known to be prone to body movement-induced artifacts, making it unreliable in realistic situations. Here we report a method to minimize the movement-induced artifacts. The method selects an optimal region of interest (ROI) automatically, prunes frames in which the ROI is not clearly captured (e.g., subject moves out of the view), and analyzes rPPG using an algorithm in CIELab color space, rather than the widely used RGB color space. We show that body movement primarily affects image intensity, rather than chromaticity, and separating chromaticity from intensity in CIELab color space thus helps achieve effective reduction of the movement-induced artifacts. We validate the method by performing a pilot study including 17 people with diverse skin tones.

Paper Details

Date Published: 4 November 2016
PDF: 6 pages
J. Biomed. Opt. 21(11) 117001 doi: 10.1117/1.JBO.21.11.117001
Published in: Journal of Biomedical Optics Volume 21, Issue 11
Show Author Affiliations
Yuting Yang, Arizona State Univ. (United States)
Nanjing Univ. (China)
Chenbin Liu, Arizona State Univ. (United States)
Nanjing Univ. (China)
Hui Yu, Arizona State Univ. (United States)
Nanjing Univ. (China)
Dangdang Shao, Arizona State Univ. (United States)
Francis Tsow, Arizona State Univ. (United States)
Nongjian Tao, Arizona State Univ. (United States)
Nanjing Univ. (China)

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