Open Access
15 April 2015 On the benefits of alternative color spaces for noncontact heart rate measurements using standard red-green-blue cameras
Gill R. Tsouri, Zheng Li
Author Affiliations +
Abstract
Existing video plethysmography methods use standard red-green-blue (sRGB) video recordings of the facial region to estimate heart pulse rate without making contact with the person being monitored. Methods achieving high estimation accuracy require considerable signal-processing power and result in significant processing latency. High processing power and latency are limiting factors when real-time pulse rate estimation is required or when the sensing platform has no access to high processing power. We investigate the use of alternative color spaces derived from sRGB video recordings as a fast light-weight alternative to pulse rate estimation. We consider seven color spaces and compare their performance with state-of-the-art algorithms that use independent component analysis. The comparison is performed over a dataset of 41 video recordings from subjects of varying skin tone and age. Results indicate that the hue channel provides better estimation accuracy using extremely low computation power and with practically no latency.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
Gill R. Tsouri and Zheng Li "On the benefits of alternative color spaces for noncontact heart rate measurements using standard red-green-blue cameras," Journal of Biomedical Optics 20(4), 048002 (15 April 2015). https://doi.org/10.1117/1.JBO.20.4.048002
Published: 15 April 2015
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CITATIONS
Cited by 57 scholarly publications and 8 patents.
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KEYWORDS
Independent component analysis

Video

RGB color model

Heart

Cameras

Skin

Oximeters

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