Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview

Meriem SARİ; Abdelouahab MOUSSAOUI; Abdenour HADİD

Makale detayları

Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview

Yazarlar:

Meriem SARİ | Abdelouahab MOUSSAOUI | Abdenour HADİD

Yayıncı:

International Society of Academicians

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.39-53

Belge Tipi:

Makale

Yayın Tarihi:

5/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000719257

Sıklık:

İki Yıllık

eISSN:

2667-6990

Özet:

 

Facial expression recognition (FER) plays a key role in conveying human emotions and feelings. Automated FER systems enable different machines to recognize emotions without the help of humans; this is considered as a very challenging problem in machine learning. Over the years there has been a considerable progress in this field. In this paper we present a state of the art overview on the different concepts of a FER system and the different used methods; plus we studied the efficiency of using deep learning architectures specifically convolutional neural networks architectures (CNN) as a new solution for FER problems by investigating the most recent and cited works.

Makale detayları

Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview

Yazarlar: Meriem SARİ | Abdelouahab MOUSSAOUI | Abdenour HADİD

Yayıncı: International Society of Academicians

Ana Başlıklar: Veri işleme & bilgisayar bilimi

Dergi: International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.39-53

Belge Tipi: Makale

Yayın Tarihi: 5/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000719257

Sıklık: İki Yıllık

eISSN: 2667-6990

Sayı

Yazarlar:

Meriem SARİ | Abdelouahab MOUSSAOUI | Abdenour HADİD

Yayıncı:

International Society of Academicians

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.39-53

Belge Tipi:

Makale

Yayın Tarihi:

5/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000719257

Sıklık:

İki Yıllık

eISSN:

2667-6990