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Remote photoplethysmography (rPPG) for contactless heart rate monitoring using a single monochrome and color camera

dc.creatorMa X.
dc.creatorTobón D.P.
dc.creatorEl Saddik A.
dc.date2020
dc.date.accessioned2021-02-05T14:58:38Z
dc.date.available2021-02-05T14:58:38Z
dc.identifier.isbn9783030544065
dc.identifier.issn3029743
dc.identifier.urihttp://hdl.handle.net/11407/6002
dc.descriptionHuman vital signs are essential information that are closely related to both physical cardiac assessments and psychological emotion studies. One of the most important data is the heart rate, which is closely connected to the clinical state of the human body. Modern image processing technologies, such as Remote Photoplethysmography (rPPG), have enabled us to collect and extract the heart rate data from the body by just using an optical sensor and not making any physical contact. In this paper, we propose a real-time camera-based heart rate detector system using computer vision and signal processing techniques. The software of the system is designed to be compatible with both an ordinary built-in color webcam and an industry grade grayscale camera. In addition, we conduct an analysis based on the experimental results collected from a combination of test subjects varying in genders, races, and ages, followed by a quick performance comparison between the color webcam and an industry grayscale camera. The final calculations on percentage error have shown interesting results as the built-in color webcam with the digital spatial filter and the grayscale camera with optical filter achieved relatively similar accuracy under both still and exercising conditions. However, the correlation calculations, on the other hand, have shown that compared to the webcam, the industry grade camera is superior in stability when facial artifacts are presented. © Springer Nature Switzerland AG 2020.
dc.language.isoeng
dc.publisherSpringer
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089607797&doi=10.1007%2f978-3-030-54407-2_21&partnerID=40&md5=4f1f34c3e631234336026c892fcea238
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectComputer visionspa
dc.subjectHeart ratespa
dc.subjectPhotoplethysmographyspa
dc.subjectrPPGspa
dc.subjectSignal processingspa
dc.titleRemote photoplethysmography (rPPG) for contactless heart rate monitoring using a single monochrome and color camera
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.identifier.doi10.1007/978-3-030-54407-2_21
dc.subject.keywordCameraseng
dc.subject.keywordColoreng
dc.subject.keywordImage processingeng
dc.subject.keywordOptical data processingeng
dc.subject.keywordPatient monitoringeng
dc.subject.keywordPhotoplethysmographyeng
dc.subject.keywordHeart rate detectorseng
dc.subject.keywordHeart-rate monitoringeng
dc.subject.keywordImage processing technologyeng
dc.subject.keywordPercentage erroreng
dc.subject.keywordPerformance comparisoneng
dc.subject.keywordPhysical contactseng
dc.subject.keywordSignal processing techniqueeng
dc.subject.keywordSpatial filterseng
dc.subject.keywordHearteng
dc.relation.citationvolume12015 LNCS
dc.relation.citationstartpage248
dc.relation.citationendpage262
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationMa, X., Multimedia Communications Research Laboratory, University of Ottawa, Ottawa, Canada
dc.affiliationTobón, D.P., Universidad de Medellin, Medellin, Colombia
dc.affiliationEl Saddik, A., Multimedia Communications Research Laboratory, University of Ottawa, Ottawa, Canada
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/other


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