 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: June 2025
Volume 10 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16085
Article Published : 7083
Total Authors : 19053
Total Reviewer : 687
Total Countries : 125
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | A Survey on Facial Expression Recognition using Deep Learning and Explainable Artificial Intelligence. |
| Authors Name: | Madhapura Ravikumar Madhan Kumar , Dr. B G Prasad |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_183405
|
| Published Paper Id: | IJRTI2207297 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Facial expressions are nonverbal means of expressing emotions through body movements, eye contact, and gestures without speaking. The way a person expresses his or her feelings is not only a window into the sensitivity of that person, but it also provides insight into his or her mental outlook. This paper describes the various Deep Learning and Machine Learning Models that are employed for the recognition of facial expressions. Different types of classification algorithms are described in this study, namely Support Vector Machines and K-Nearest Neighbors. Various neural networks such as Attentional Neural Network, and Convolutional Neural are implemented and compared accuracy on a FER2013, CK+ dataset. Explainable Artificial Intelligence (XAI) is a topic that has grown considerably. As the use of machine learning has expanded, particularly deep learning, highly accurate models have been developed, but they lack of the explanations and interpretations that would make them useful. With Explainable AI's architecture and tools, machine learning predictions are easier to understand and interpret. |
| Keywords: | Convolutional Neural Network, Support Vector Machine, K-nearest Neighbors, Explainable Artificial Intelligence, principal component Analysis, Negative matrix factorization, Local ternary patterns, Dynamic LTP, Facial Expression Recognition, Active Appearance Model, Artificial Neuro-Fuzzy Inference System. |
| Cite Article: | "A Survey on Facial Expression Recognition using Deep Learning and Explainable Artificial Intelligence.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1722 - 1727, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207297.pdf |
| Downloads: | 000204941 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2207297
Registration ID:183405
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 1722 - 1727 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207297 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207297 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||