Real Time Emotion Recognition Using Convolutional Neural Network

dc.contributor.authorAbdoulaye, Bah
dc.date.accessioned2025-01-18T10:36:17Z
dc.date.available2025-01-18T10:36:17Z
dc.date.issued2021en_US
dc.departmentLisansüstü Eğitim Enstitüsüen_US
dc.description1st International Conference on Computing and Machine Intelligence (ICMI-2021) February 19-20, 2021, Istanbul, Turkey -- Editorial Board Dr. Akhtar JAMIL Dr. Alaa Ali HAMEED -- ISBN: 9786050667578 -- Istanbul Sabahattin Zaim University Yayınları; No. 57.en_US
dc.description.abstractDue to the evolution of technology, Human Com puter Interaction has become a crucial field of interest. Over the past decade various research has been accomplished in this field and still are ongoing. Facial expressions play an important role in non-verbal communication and also in Human Computer Interaction. Emotions on a human face say a lot about our thought process and give a hint on what is going on inside our brain. In this Paper a method of Facial Emotion Recognition is implemented (FER) using Convolutional Neural Networks (CNN) which can be used for the classification of facial emotion expressions in real time. This work and experiment can be used for emotion analysis while people watch movie trailers or video lectures or other purposes.en_US
dc.identifier.endpage255en_US
dc.identifier.startpage250en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12436/7004
dc.institutionauthorAbdoulaye, Bah
dc.language.isoen
dc.publisherİstanbul Sabahattin Zaim Üniversitesien_US
dc.relation.ispartof1st International Conference on Computing and Machine Intelligenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectTransfer Learningen_US
dc.subjectFacial Expression Recognitionen_US
dc.subjectNeural Netwoken_US
dc.titleReal Time Emotion Recognition Using Convolutional Neural Networken_US
dc.typeConference Object
dspace.entity.typePublication

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