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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
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24719
Article Published : 9358
Total Authors : 24865
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| Paper Title: | Recent Advances and Challenges in Facial Emotion Recognition Systems: A Review of Deep Learning Approaches |
| Authors Name: | Eris Zeqo , Viola Bakiasi (Shtino) , Bora Myrto (Lamaj) , Freda Dyrkaj |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212555
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| Published Paper Id: | IJRTI2605076 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i5.212555 |
| Abstract: | Facial Emotion Recognition (FER) has become one of the most active research areas in the fields of Artificial Intelligence and Computer Vision due to its wide range of applications in healthcare, education, human–computer interaction, security, and intelligent monitoring systems. The ability of computers to automatically interpret human emotions from facial expressions has significantly improved with the rapid development of machine learning and deep learning techniques. This review paper presents a comprehensive analysis of recent advances in facial emotion recognition systems, with particular attention to deep learning-based approaches. The study discusses the main stages of FER systems, including image acquisition, preprocessing, feature extraction, and classification. In addition, widely used public datasets such as FER2013, CK+, RAF-DB, and AffectNet are reviewed and compared based on their characteristics and research challenges. The paper further examines the transition from traditional machine learning algorithms to advanced convolutional neural network architectures that have achieved higher recognition accuracy in complex real-world scenarios. Moreover, critical challenges such as class imbalance, illumination variations, occlusions, head pose changes, and the recognition of subtle micro-expressions are analyzed. Finally, the paper highlights emerging research directions, including explainable artificial intelligence, multimodal emotion recognition, lightweight real-time systems, and transformer-based architectures. This review aims to provide researchers and practitioners with a clear overview of current developments and future opportunities in facial emotion recognition research. |
| Keywords: | Facial Emotion Recognition, Deep Learning, Convolutional Neural Networks, Computer Vision, Machine Learning, Emotion Analysis. |
| Cite Article: | "Recent Advances and Challenges in Facial Emotion Recognition Systems: A Review of Deep Learning Approaches", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a620-a631, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605076.pdf |
| Downloads: | 000188 |
| 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: IJRTI2605076
Registration ID:212555
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i5.212555
Page No: a620-a631 Country: Tirana, Albania, Albania, Albania Research Area: Applied Mathematics Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605076 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605076 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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