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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16130
Article Published : 7097
Total Authors : 19084
Total Reviewer : 688
Total Countries : 125
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| 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 |
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IJRTI_183405
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| 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 |
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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 |
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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 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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