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dc.contributor.authorEverson, Luke
dc.contributor.authorBiswas, Dwaipayan
dc.contributor.authorPanwar, Madhuri
dc.contributor.authorRodopoulos, Dimitrios
dc.contributor.authorAcharyya, Amit
dc.contributor.authorKim, Chris H.
dc.contributor.authorVan Hoof, Chris
dc.contributor.authorKonijnenburg, Mario
dc.contributor.authorVan Helleputte, Nick
dc.date.accessioned2021-10-25T18:32:45Z
dc.date.available2021-10-25T18:32:45Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30689
dc.sourceIIOimport
dc.titleBiometricNet: Deep learning based biometric identification using wrist-worn PPG
dc.typeProceedings paper
dc.contributor.imecauthorBiswas, Dwaipayan
dc.contributor.imecauthorVan Hoof, Chris
dc.contributor.imecauthorKonijnenburg, Mario
dc.contributor.imecauthorVan Helleputte, Nick
dc.contributor.orcidimecVan Hoof, Chris::1234-1234-1234-1234
dc.contributor.orcidimecKonijnenburg, Mario::0000-0001-8016-0888
dc.contributor.orcidimecVan Helleputte, Nick::0000-0002-7511-1923
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage5
dc.source.conferenceIEEE International Symposium on Circuits and Systems - ISCAS
dc.source.conferencedate27/05/2018
dc.source.conferencelocationFirenze Italy
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8350983/
imec.availabilityPublished - open access


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