Remote Photoplethysmography (rPPG) allows remote measurement of the heart rate using low-cost RGB imaging equipment. In this paper, we review the development of the field since its emergence in 2008, classify existing approaches for rPPG, and derive a framework that provides an overview of modular steps. Based on this framework, practitioners can use the classification to orchestrate algorithms to 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.
School of Electrical Engineering and Computer Science
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This is a post-peer-review, pre-copyedit version of an article published in the Frontiers of Computer Science. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11704-016-6243-6.