Year: 2020
Type: article
Abstract: 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.
Source: DergiPark (Istanbul University)
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3108879156