A Reproducible Study on Remote Heart Rate Measurement
September 04, 2017 Β· Declared Dead Β· π arXiv.org
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Authors
Guillaume Heusch, AndrΓ© Anjos, SΓ©bastien Marcel
arXiv ID
1709.00962
Category
cs.CV: Computer Vision
Citations
186
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper studies the problem of reproducible research in remote photoplethysmography (rPPG). Most of the work published in this domain is assessed on privately-owned databases, making it difficult to evaluate proposed algorithms in a standard and principled manner. As a consequence, we present a new, publicly available database containing a relatively large number of subjects recorded under two different lighting conditions. Also, three state-of-the-art rPPG algorithms from the literature were selected, implemented and released as open source free software. After a thorough, unbiased experimental evaluation in various settings, it is shown that none of the selected algorithms is precise enough to be used in a real-world scenario.
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