Efficient-SwishNet Based System for Facial Emotion Recognition

Author:

Dar Tarim1ORCID,Javed Ali1ORCID,Bourouis Sami2ORCID,Hussein Hany S.3ORCID,Alshazly Hammam4ORCID

Affiliation:

1. Department of Software Engineering, University of Engineering and Technology, Taxila, Taxila, Pakistan

2. Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

3. Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia

4. Faculty of Computers and Information, South Valley University, Qena, Egypt

Funder

Deanship of Scientific Research at King Khalid University through Research Groups Project

Taif University Researchers Supporting Project

Multimedia Signal Processing (MSP) Research Laboratory, University of Engineering and Technology, Taxila, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference42 articles.

1. Facial Emotion Recognition Using Deep Convolutional Neural Network

2. Deep learning-based facial emotion recognition for human–computer interaction applications

3. Combining Deep Neural Network with Traditional Classifier to Recognize Facial Expressions

4. Coding facial expressions with Gabor wavelets (IVC special issue);lyons;arXiv 2009 05938,2020

5. Emotional experience in cultural context: A comparison between Europe, Japan and the United States;scherer;Facets of Emotion Recent Research,1998

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4. Real-Time Facial Emotion Detection System Using Multimodal Fusion Deep Learning Architecture;2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM);2023-08-26

5. Artificial Intelligence-Based Real-Time Facial Emotion Monitoring System;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15

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