A Reproducible Study on Remote Heart Rate Measurement
This addresses reproducibility issues for researchers in remote heart rate measurement, but it is incremental as it focuses on benchmarking existing methods.
The paper tackled the problem of reproducibility in remote photoplethysmography (rPPG) by creating a new public database and evaluating three state-of-the-art algorithms, finding that none were precise enough for real-world use.
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.