Advancements in Contact-free Heart Rate Measurements Using Human Face Videos

Muhammad Waqar and Bernard Tiddeman

Abstract

Recently, several methods have been reported for the contact-free measurement of heart rate from human face videos. Typically these are based on applying independent component analysis to sequences of colour values from tracked face patches and selecting the peak value within a fixed range in the frequency spectrum. Those methods performed well enough under controlled conditions but in realistic situations their performance degraded significantly. In this paper, we have highlighted issues such as light reflection and participant’s movement, and proposed solutions to those factors that reduces the performance of existing methods. We experiment with calculating a robust mean of the skin colour pixels values using a mean shift algorithm and estimating an optimal frequency selection function in the Fourier domain. Preliminary results show that these methods can improve the results of existing methods

Session

Workshop: 7th UK Computer Vision Student Workshop (BMVW 2015)

Files

PDF iconPaper (PDF, 715K)

DOI

10.5244/C.29.BMVW.2
https://dx.doi.org/10.5244/C.29.BMVW.2

Citation

Muhammad Waqar and Bernard Tiddeman. Advancements in Contact-free Heart Rate Measurements Using Human Face Videos. In Gary K. L. Tam, editor, Proceedings of the 7th UK Computer Vision Student Workshop (BMVW), pages 2.1-2.9. BMVA Press, September 2015.

Bibtex

@inproceedings{BMVW2015_2,
	title={Advancements in Contact-free Heart Rate Measurements Using Human Face Videos},
	author={Muhammad Waqar and Bernard Tiddeman},
	year={2015},
	month={September},
	pages={2.1-2.9},
	articleno={2},
	numpages={9},
	booktitle={Proceedings of the 7th UK Computer Vision Student Workshop (BMVW)},
	publisher={BMVA Press},
	editor={Gary K. L. Tam},
	doi={10.5244/C.29.BMVW.2},
	isbn={1-901725-58-8},
	url={https://dx.doi.org/10.5244/C.29.BMVW.2}
}