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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: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 122
Article Submitted : 25330
Article Published : 9497
Total Authors : 25208
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| Paper Title: | A Deep Convolutional Neural Network Approach for Facial Expression Recognition Using FER-2013 Dataset |
| Authors Name: | Mr.Sahil A. Mulani , Dr.Seema S.Patil |
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IJRTI_213527
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| Published Paper Id: | IJRTI2606086 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Abstract Recognizing facial expressions (FER) is important for areas such as human–computer interaction, surveillance applications, health tracking, and affective computing. In this work, a method built on Convolutional Neural Networks (CNNs) is introduced to identify facial expressions from the FER-2013 dataset. The suggested system assigns grayscale face images to seven emotion classes: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise. Its CNN design uses three convolution stages, includes max-pooling steps, adds a dense fully connected layer, and applies dropout as a regularizer. The experiments indicate roughly 84% accuracy on the training set and about 58% on the validation set. From the learning plots and confusion-matrix evaluation, overfitting and uneven class distribution are evident, with smaller groups like Disgust affected most. The findings emphasize that CNNs work well for expression recognition and point to possible gains via augmentation, transfer learning, and more sophisticated network designs. |
| Keywords: | Facial Expression Recognition, CNN, Deep Learning, FER-2013, Emotion Classification, Computer Vision. |
| Cite Article: | "A Deep Convolutional Neural Network Approach for Facial Expression Recognition Using FER-2013 Dataset", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a833-a838, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606086.pdf |
| Downloads: | 00089 |
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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: IJRTI2606086
Registration ID:213527
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a833-a838 Country: Sangli, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606086 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606086 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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