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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: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
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| Paper Title: | EEG-Based Emotion Recognition Using Convolutional Neural Networks |
| Authors Name: | Sarath Krishnan U , Goutham Rathnakaran , Priyaranjan Kumar |
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IJRTI_211983
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| Published Paper Id: | IJRTI2604277 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Emotion recognition from EEG signals has become one of well-known research directions in affective computing because EEG signals can provide a direct perspective into how humans feel emotions. In this paper, we build a deep learning system that finds out the people’s emotional states by using an EEG recordings in the SEED dataset. This dataset has EEG recordings from several channels and it matches to three emotions: negative, positive and as well as neutral.To prepare the data for model training, the EEG signals are down sampled and normalized before being used as input to a one-dimensional convolutional neural network (CNN). The CNN automatically learns discriminative patterns from the EEG signals without requiring manual feature engineering. For getting signals ready for the training phase, the EEG signals are first down sampled, then normalization is applied before sending as input to one-dimensional CNN. The CNN can pick up important patterns from EEG signals automatically and does not rely on manual feature processing. To check how model fits data from different persons, Leave-One-Subject-Out (LOSO) cross-validation is used.The experiments show the CNN-based model is able to differentiate between emotional states using EEG and still provides pretty constant results even when used on new people |
| Keywords: | EEG, Emotion Recognition, Deep Learning, Convolutional Neural Network, SEED Dataset,LOSO |
| Cite Article: | "EEG-Based Emotion Recognition Using Convolutional Neural Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c28-c33, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604277.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: IJRTI2604277
Registration ID:211983
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c28-c33 Country: Chengalpattu, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604277 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604277 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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