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.issued2021
dc.departmentLisansüstü Eğitim Enstitüsü
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.
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.
dc.identifier.endpage255
dc.identifier.startpage250
dc.identifier.urihttps://hdl.handle.net/20.500.12436/7004
dc.institutionauthorAbdoulaye, Bah
dc.language.isoen
dc.publisherİstanbul Sabahattin Zaim Üniversitesi
dc.relation.ispartof1st International Conference on Computing and Machine Intelligence
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectConvolutional Neural Network
dc.subjectTransfer Learning
dc.subjectFacial Expression Recognition
dc.subjectNeural Netwok
dc.titleReal Time Emotion Recognition Using Convolutional Neural Network
dc.typeConference Object
dspace.entity.typePublication

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