EEG-Based Emotion Recognition Using Deep Learning Network
Abstract
Emotion recognition has gained significant attention in recent years, due to the ability of electroencephalography (EEG) to capture real-time brain signals activity from a head band. This study presents an analysis and classification of EEG-based emotion recognition using a dataset containing recordings of brain signals during three different emotion classes (positive, negative, and neutral). Three different deep learning models are built, trained with the data set and compared to view the different performances. the three deep learning models used in this study are: a deep learning model with two hidden layers (RNN), a deep learning model using long short-term memory network (LSTM), and a deep learning model using a gated recurrent unit (GRU) model. Moreover, to validate the three different models effectiveness in the proposed method section, the model accuracy, precision, recall, and F1-score results of each model of the three is obtained and compared. furthermore, the classification of the EEG signals are presented in the study and discussed the advantages of the proposed model.
Keywords
Supporting Institution
Gaziantep University
Ethical Statement
This paper does not require ethics committee approval
Thanks
I would like to express my sincere gratitude to my supervisor, Sema Kayhan, for their special guidance throughout the course of this research. I am also thankful to Gaziantep University for providing the necessary resources to complete this study. Special thanks to my family and friends for the support and motivation during this journey
References
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Details
Primary Language
English
Subjects
Electrical Engineering (Other)
Journal Section
Research Article
Publication Date
November 27, 2025
Submission Date
May 18, 2025
Acceptance Date
August 6, 2025
Published in Issue
Year 2025 Volume: 2 Number: 2
APA
Elkassas, A., & Koç Kayhan, S. (2025). EEG-Based Emotion Recognition Using Deep Learning Network. Natural Sciences and Engineering Bulletin, 2(2), 100-113. https://izlik.org/JA63RX37KT
AMA
1.Elkassas A, Koç Kayhan S. EEG-Based Emotion Recognition Using Deep Learning Network. NASE. 2025;2(2):100-113. https://izlik.org/JA63RX37KT
Chicago
Elkassas, Ahmed, and Sema Koç Kayhan. 2025. “EEG-Based Emotion Recognition Using Deep Learning Network”. Natural Sciences and Engineering Bulletin 2 (2): 100-113. https://izlik.org/JA63RX37KT.
EndNote
Elkassas A, Koç Kayhan S (November 1, 2025) EEG-Based Emotion Recognition Using Deep Learning Network. Natural Sciences and Engineering Bulletin 2 2 100–113.
IEEE
[1]A. Elkassas and S. Koç Kayhan, “EEG-Based Emotion Recognition Using Deep Learning Network”, NASE, vol. 2, no. 2, pp. 100–113, Nov. 2025, [Online]. Available: https://izlik.org/JA63RX37KT
ISNAD
Elkassas, Ahmed - Koç Kayhan, Sema. “EEG-Based Emotion Recognition Using Deep Learning Network”. Natural Sciences and Engineering Bulletin 2/2 (November 1, 2025): 100-113. https://izlik.org/JA63RX37KT.
JAMA
1.Elkassas A, Koç Kayhan S. EEG-Based Emotion Recognition Using Deep Learning Network. NASE. 2025;2:100–113.
MLA
Elkassas, Ahmed, and Sema Koç Kayhan. “EEG-Based Emotion Recognition Using Deep Learning Network”. Natural Sciences and Engineering Bulletin, vol. 2, no. 2, Nov. 2025, pp. 100-13, https://izlik.org/JA63RX37KT.
Vancouver
1.Ahmed Elkassas, Sema Koç Kayhan. EEG-Based Emotion Recognition Using Deep Learning Network. NASE [Internet]. 2025 Nov. 1;2(2):100-13. Available from: https://izlik.org/JA63RX37KT