Samenvatting
Camera-based remote photoplethysmography (remote-PPG) technology has shown great potential for contactless pulse-rate monitoring. However, remote-PPG systems typically analyze face images, which may restrict applications in view of privacy-preserving regulations such as the recently announced General Data Protection Regulation in the European Union. In this paper, we investigate the case of using single-element sensing as an input for remote-PPG extraction, which prohibits facial analysis and thus evades privacy issues. It also improves the efficiency of data storage and transmission. In contrast to known remote-PPG solutions using skin-selection techniques, the input signals in a single-element setup will contain a non-negligible degree of signal components associated with non-skin areas. Current remote-PPG extraction methods based on physiological and optical properties of skin reflections are therefore no longer valid. A new remote-PPG method, named Soft Signature based extraction (SoftSig), is proposed to deal with this situation by softening the dependence of pulse extraction on prior knowledge. A large-scale experiment validates the concept of single-element remote-PPG monitoring and shows the improvement of SoftSig over general purpose solutions.
Originele taal-2 | Engels |
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Artikelnummer | 8540913 |
Pagina's (van-tot) | 2032-2043 |
Aantal pagina's | 12 |
Tijdschrift | IEEE Transactions on Biomedical Engineering |
Volume | 66 |
Nummer van het tijdschrift | 7 |
Vroegere onlinedatum | 20 nov. 2018 |
DOI's | |
Status | Gepubliceerd - 1 jul. 2019 |
Vingerafdruk
Duik in de onderzoeksthema's van 'Single element remote-PPG'. Samen vormen ze een unieke vingerafdruk.Impact
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Sleep Medicine
van Gilst, M. M. (Content manager) & van der Hout-van der Jagt, M. B. (Content manager)
Impact: Research Topic/Theme (at group level)