Lie Detection using facial and voice recognition

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorNayer, Karim Mohamed
dc.date.accessioned2021-01-24T11:09:47Z
dc.date.available2021-01-24T11:09:47Z
dc.date.issued2020
dc.descriptionComputer sciences distinguished graduation projects 2020en_US
dc.description.abstractOur system will use multi-modal data from face and voice along with machine learning techniques to determine, to some degree of accuracy, whether someone has committed an act of deception. Our system will operate in two phases, the control phase and the critical phase. During the control phase, we will ask the subject baseline questions (questions that will produce answers that are true) and establish the normal behavior of the subject. We’ll train our system with the data obtained in the phase. During the critical phase, we’ll ask the subject questions that are likely to elicit a deceptive response and determine (in comparison to the normal behavior of the subject) whether a lie is being told.en_US
dc.description.sponsorshipDr. Ehab Emamen_US
dc.identifier.citationCopyright © 2021 MSA University. All Rights Reserveden_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4367
dc.language.isoenen_US
dc.publisherOctober University for Modern Sciences and Artsen_US
dc.relation.ispartofseriesComputer sciences distinguished projects 2020;
dc.subjectOctober University for Modern Sciences and Artsen_US
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectMSA Universityen_US
dc.subjectجامعة أكتوبر للعلوم الحديثة والآدابen_US
dc.subjectLie Detectionen_US
dc.titleLie Detection using facial and voice recognitionen_US
dc.typeOtheren_US

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