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Facial Expressions Decoded: A Survey of Facial Emotion Recognition

by Ahad Almasoudi, Souad Baowidan, Shahenda Sarhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 10
Year of Publication: 2023
Authors: Ahad Almasoudi, Souad Baowidan, Shahenda Sarhan
10.5120/ijca2023922765

Ahad Almasoudi, Souad Baowidan, Shahenda Sarhan . Facial Expressions Decoded: A Survey of Facial Emotion Recognition. International Journal of Computer Applications. 185, 10 ( May 2023), 1-11. DOI=10.5120/ijca2023922765

@article{ 10.5120/ijca2023922765,
author = { Ahad Almasoudi, Souad Baowidan, Shahenda Sarhan },
title = { Facial Expressions Decoded: A Survey of Facial Emotion Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2023 },
volume = { 185 },
number = { 10 },
month = { May },
year = { 2023 },
issn = { 0975-8887 },
pages = { 1-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number10/32734-2023922765/ },
doi = { 10.5120/ijca2023922765 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:43.309122+05:30
%A Ahad Almasoudi
%A Souad Baowidan
%A Shahenda Sarhan
%T Facial Expressions Decoded: A Survey of Facial Emotion Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 10
%P 1-11
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Facial emotion recognition is a process that involves detecting and interpreting emotions from facial expressions. This field draws from a range of disciplines, including computer science, psychology, and neuroscience. The ability to accurately recognize emotions from facial expressions has broad implications for humancomputer interaction, healthcare, security, and marketing. This paper presents a thorough overview of the current state of the art in facial emotion recognition, covering topics such as facial expression theories, types of facial emotion recognition, datasets, techniques, evaluation metrics, and applications. Additionally, the paper addresses ethical considerations related to facial emotion recognition. The aim of this survey is to provide a comprehensive understanding of the present state of facial emotion recognition technology.

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Index Terms

Computer Science
Information Sciences

Keywords

Facial Emotion Recognition Deep Learning Computer Vision FER Affective computing

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