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			<subfield code="a">ARTICLE</subfield>
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			<subfield code="a">Heusch_ARXIV_2017/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">A reproducible study on remote heart rate measurement</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Heusch, Guillaume</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Anjos, André</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Marcel, Sébastien</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2017/Heusch_ARXIV_2017.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="p">arXiv</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2017</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2=" ">
			<subfield code="u">https://arxiv.org/abs/1709.00962</subfield>
			<subfield code="z">URL</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">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.</subfield>
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