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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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) |
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| Paper Title: | AN OVERVIEW OF DEEP LEARNING-BASED AUTOMATED FACIAL EXPRESSION RECOGNITION |
| Authors Name: | Priya Patel , Twisha Patel |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_200351
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| Published Paper Id: | IJNRD2306611 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | One of the areas of symmetry and a significant and promising area of computer vision and artificial intelligence is facial expression recognition (FER), which serves as the principal processing mechanism for non-verbal intentions. A thorough and organized summary of recent developments in FER is provided in this survey. The existing FER methods are first divided into two major categories, namely conventional approaches and deep learning-based approaches. We offer a broad structure of a traditional FER approach from a methodological perspective and examine the potential technologies that could be used in each component to emphasize the differences and similarities. Regarding deep learning-based approaches, four different types of cutting-edge FER approaches based on neural networks are described and examined. In addition, we summarize four FER-related dataset characteristics that may affect the selection and processing of FER techniques, as well as seventeen regularly used FER datasets. Following performance comparisons of several FER approaches on the benchmark datasets, evaluation methods and metrics are provided in the later portion to demonstrate how to evaluate FER algorithms. At the conclusion of the survey, we list certain issues and openings that require attention in the future. |
| Keywords: | Facial expression recognition; Feature extraction; Classification; Deep learning |
| Cite Article: | "AN OVERVIEW OF DEEP LEARNING-BASED AUTOMATED FACIAL EXPRESSION RECOGNITION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.g82-g91, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306611.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2306611 Registration ID: 200351 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: g82-g91 Country: Surat, Gujarat, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306611 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306611 |
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ISSN: 2456-4184
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