Emotion Recognition Based on the Human's Brain

Liqi Tang

doi:10.54254/2755-2721/8/20230055

Research Article

Open access

Published on 1 August 2023

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Tang,L. (2023). Emotion Recognition Based on the Human's Brain. Applied and Computational Engineering,8,7-12.

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Emotion Recognition Based on the Human's Brain

Liqi Tang *^,1,

¹ University of Nottingham Malaysia

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/8/20230055

Abstract

There are several different algorithms to train models in machine learning and for purpose of enhancing the accuracy of the models for emotion recognition systems by using EEG datasets, we can compare different algorithms and methods. To experience more intuitively the different impacts caused by different algorithms and methods, ‘Emotion classification by applying ‘Convolutional Neural Networks, Sparse Auto-encoder, Deep Neural Network’, and ‘ZTW-based epoch selection algorithm’, these three models of emotion recognition will be mentioned and compared in this essay to find out a way to improve the accuracy of the emotion recognition models based on EEG datasets, which also include the process and final results of these models.

Keywords

emotion recognition, EEG, human Brain-based, artificial intelligence, machine learning

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References

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Cite this article

Tang,L. (2023). Emotion Recognition Based on the Human's Brain. Applied and Computational Engineering,8,7-12.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Software Engineering and Machine Learning

Conference website: http://www.confseml.org

ISBN：978-1-915371-63-8(Print) / 978-1-915371-64-5(Online)

Conference date: 19 April 2023

Editor：Anil Fernando, Marwan Omar

Series: Applied and Computational Engineering

Volume number: Vol.8

ISSN：2755-2721(Print) / 2755-273X(Online)

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