Journal
FRONTIERS OF COMPUTER SCIENCE
Volume 12, Issue 5, Pages 858-872Publisher
HIGHER EDUCATION PRESS
DOI: 10.1007/s11704-016-6243-6
Keywords
affective computing; heart rate measurement; remote; non-contact; camera-based; photoplethysmography
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Funding
- FITweltweit programme of the German Academic Exchange Service (DAAD)
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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.
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