Real Time Emotion Recognition Using Convolutional Neural Network

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İstanbul Sabahattin Zaim Üniversitesi

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info:eu-repo/semantics/openAccess

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Due 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.

Açıklama

1st 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.

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Convolutional Neural Network, Transfer Learning, Facial Expression Recognition, Neural Netwok

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1st International Conference on Computing and Machine Intelligence

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