Camera-based Vital Signs: Towards Driver Monitoring and Face Liveness Verification

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dc.contributor.advisorVeeraraghavan, Ashoken_US
dc.contributor.committeeMemberHeckel, Reinharden_US
dc.creatorNowara, Ewa Magdalenaen_US
dc.date.accessioned2019-05-17T15:35:53Zen_US
dc.date.available2019-05-17T15:35:53Zen_US
dc.date.created2018-08en_US
dc.date.issued2018-08-20en_US
dc.date.submittedAugust 2018en_US
dc.date.updated2019-05-17T15:35:54Zen_US
dc.description.abstractI show how remote photoplethysmography (rPPG), which are blood flow induced intensity variations in the skin observed with a camera, can improve driver monitoring and face liveness verifcation. A leading cause of car accidents is driver distraction. These accidents could be prevented by monitoring drivers rPPG signals while driving. However, it is challenging to measure rPPG signals in a moving vehicle due to drastic illumination variations and large motion. I built a narrow-band near-infrared set up to reduce outside illumination variations and I developed an algorithm called SparsePPG to exploit spatial low rankness and sparsity in frequency of rPPG signals. Face recognition algorithms can provide highly secure user authentication due to their high accuracy; however, they cannot distinguish between authentic faces and face attacks, such as photographs. I developed an algorithm called PPGSecure which uses rPPG signals from a face video recording and machine learning to detect these face attacks.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationNowara, Ewa Magdalena. "Camera-based Vital Signs: Towards Driver Monitoring and Face Liveness Verification." (2018) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/105790">https://hdl.handle.net/1911/105790</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/105790en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectDriver monitoringen_US
dc.subjectphotoplethysmographyen_US
dc.subjectliveness verificationen_US
dc.subjectvital signsen_US
dc.subjectnear infrareden_US
dc.titleCamera-based Vital Signs: Towards Driver Monitoring and Face Liveness Verificationen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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