English

A Reproducible Study on Remote Heart Rate Measurement

Computer Vision and Pattern Recognition 2017-09-05 v1

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.

Cite

@article{arxiv.1709.00962,
  title  = {A Reproducible Study on Remote Heart Rate Measurement},
  author = {Guillaume Heusch and André Anjos and Sébastien Marcel},
  journal= {arXiv preprint arXiv:1709.00962},
  year   = {2017}
}
R2 v1 2026-06-22T21:32:26.595Z