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Journals / International Journal of Intelligent Systems and Applications in Engineering / 2021 / Cilt: 9 - Sayı: 4

The Robust EEG Based Emotion Recognition using Deep Neural Network

Humar Kahramanlı Örnek
Samad Barri Khojasteh
Pages
191–197
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, this model can be applied to other emotional datasets as a classifier and health care decision support system (DSS) as well.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper focuses on a novel Electroencephalography (EEG) based one dimensional convolution neural network (CNN) to classify emotional states.
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Key Findings & Data:We design a one dimensional CNN model with six convolutions and fully connected blocks which gives outstanding performance in six combinations of SEED dataset.
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Conclusion & Impact:Therefore, this model can be applied to other emotional datasets as a classifier and health care decision support system (DSS) as well.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This paper focuses on a novel Electroencephalography (EEG) based one dimensional convolution neural network (CNN) to classify emotional states. Differential entropy (DE) is considered as a feature extraction method after pre-processing phase. Besides, feature smoothing-linear dynamic system (LDS) and min-max normalization are used on the DE features before feeding into deep model. We design a one dimensional CNN model with six convolutions and fully connected blocks which gives outstanding performance in six combinations of SEED dataset. The model presented average accuracy of 98.55% and 95.91% in binary and single sessions respectively by using 10 fold cross validation. The proposed results fully demonstrate that our method achieves out of the best performance compare with other EEG based emotion recognition systems. Therefore, this model can be applied to other emotional datasets as a classifier and health care decision support system (DSS) as well.

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Cite This Article

Örnek, H. K., Khojasteh, S. B. (2022). The Robust EEG Based Emotion Recognition using Deep Neural Network. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 9 - Sayı: 4, 191–197. https://ajindex.com/articles/541289

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