DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-12 ( Dec, 2023 ) | |||||||||
Paper Title |
Review of Deep Learning for Facial Expression Recognition | |||||||||
Author Name |
Lateshwari Nagpure, Prashant Tamrakar, Parineeta Jha | |||||||||
Affilition |
1Research Scholar, Department of computer Science and Engineering RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India 2,3Assistant Professor, Department of computer Science and Engineering RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India | |||||||||
Pages |
7-12 | |||||||||
Abstract |
Automatic emotion recognition via facial expression has been demonstrated and used in many different areas, including security, healthcare, and human- machine interactions, to mention a few. To help computers make better predictions, researchers in this area are working to develop algorithms to recognize and categories human face expressions. The extraordinary success of deep learning has led to the method's many sorts of architectures being utilized in an effort to improve performance in order to compete with other approaches. The primary purpose of this particular piece of work is going to be to present an analysis of recent studies that make use of deep learning to do automatic facial emotion recognition (FER). We emphasize the contributions that were handled, the architecture, and the databases that were used, and we indicate the progress that has been accomplished by comparing the recommended techniques with the discoveries that were acquired. Specifically, we highlight the contributions that were handled, the architecture, and the databases that were utilized.The purpose of this publication is to assist and direct future researchers by offering an overview of recent studies as well as insights that may be used to achieve advancements in this subject. Keywords - Facial Emotion Recognition, Deep Neural Networks, Automatic Recognition, Database | |||||||||
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