Emotion Analysis using Facial Expressions in Video

Year 2021, Issue: 24, 523 - 527, 15.04.2021

Kübra Ekmekçi , Serkan Özbay

https://doi.org/10.31590/ejosat.926478

Abstract

The topic of human computer interaction is one of the increasingly popular topics in recent times. Human facial expression and emotion analysis with the computer is one of the complex problems as well as interesting. In this paper, emotion analysis was made on human images. In the study, 5 different emotional states, being happy, angry, sad, surprised and neutral, were analyzed. The proposed algorithm basically consists of 3 steps. The first is the preprocessing of the images required for the SVM model. The second is the creation of the SVM model that could perform emotion analysis. The final step is to assign facial expressions to the relevant emotion class. In this study, JAFFE dataset and many images available from Google were used. The recognition success rates of 5 different emotions determined for the study were found between 80% and 100%.

Keywords

Emotion Analysis, Support Vector Machines (SVM), Facial Expressions.

Videodaki Yüz İfadeleri Üzerinden Duygu Analizi

Abstract

İnsan ve bilgisayar etkileşimi konusu, son zamanlarda giderek daha popüler hale gelen konulardan biridir. Bilgisayar ile insan yüz ifadesi ve duygu analizi ilginç olduğu kadar karmaşık sorunlardan biridir. Bu çalışmada insan görüntüleri üzerinden duygu analizi yapılmıştır. Çalışmada mutlu, kızgın, üzgün, şaşırmış ve nötr olmak üzere 5 farklı duygu durumu analiz edilmiştir. Önerilen algoritma temelde 3 adımdan oluşmaktadır. Birincisi, SVM modeli için gerekli görüntülerin ön işlemesidir. İkincisi, duygu analizi yapabilen SVM modelinin oluşturulmasıdır. Son adım,yüz ifadelerin ilgili duygu sınıfa yönlendirilmesidir. Bu çalışmada, JAFFE veri seti ve Google'da bulunan birçok görsel kullanılmıştır. Çalışma için belirlenen 5 farklı duygu için başarı oranları % 80 ile % 100 arasında değişmektedir.

Keywords

Duygu Analizi, Destek Vektör Makineleri (SVM), Yüz İfadeleri

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