A Comprehensive Study on Facial Expression Recognition Using Deep Learning Techniques

In the previous years, the landscape of computer vision has changed significantly with improved algorithms. One such area is face expression which owes its magnificence due to the rapid advancement in techniques of deep learning. This research paper gives exhaustive studies on face expression with their relate on various CNN deep learning models, evolution trends in methodologies and the state-of-the-art architectures. The challenges as well as possible applications of the same will also be addressed. The primary aim is thorough analysis on the effectiveness and efficiency that deep learning comes with for face expression tasks, and finally offers insight on current trends and future directions in this rapidly evolving domain.

Authors

Publication Details

Journal
International Journal of Innovative Research in Advanced Engineering
Published
2024-12-13
DOI
https://doi.org/10.26562/ijirae.2024.v1112.02
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Study on Facial Expression Recognition Using Deep Learning Techniques

Naveen Kumar, Nitin Varshney, Pramod Kumar Mishra, Mayank Gaur
International Journal of Innovative Research in Advanced Engineering
Face and Expression Recognition
article

A Comprehensive Study on Facial Expression Recognition Using Deep Learning Techniques

Naveen Kumar, Nitin Varshney, Pramod Kumar Mishra, Mayank Gaur
article en

Abstract

In the previous years, the landscape of computer vision has changed significantly with improved algorithms. One such area is face expression which owes its magnificence due to the rapid advancement in techniques of deep learning. This research paper gives exhaustive studies on face expression with their relate on various CNN deep learning models, evolution trends in methodologies and the state-of-the-art architectures. The challenges as well as possible applications of the same will also be addressed. The primary aim is thorough analysis on the effectiveness and efficiency that deep learning comes with for face expression tasks, and finally offers insight on current trends and future directions in this rapidly evolving domain.

International Journal of Innovative Research in Advanced EngineeringVol. 11(12)
Openalex Percentile: Top 77%
Face and Expression Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.