Abstract
Remote photoplethysmography (rPPG) allows remote measurement of the heart rate using low-cost RGB imaging equipment. In this study, we review the development of the field of rPPG since its emergence in 2008. We also classify existing rPPG approaches and derive a framework that provides an overview of modular steps. Based on this framework, practitioners can use our classification to design algorithms for an rPPG approach that suits their specific needs. Researchers can use the reviewed and classified algorithms as a starting point to improve particular features of an rPPG algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 858-872 |
| Journal | Frontiers of Computer Science |
| Volume | 12 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 31 Dec 2018 |
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