A Reproducible Study on Remote Heart Rate Measurement

Code

• github.com/dalaoplan/Happy-rPPG-Toolkit
  pytorch★ 10
• github.com/dalaoplan/happp-rppg-toolkit
  pytorch★ 10

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.

Reproductions