Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise

Haruka Torii, Haruka Torii, Takamasa Shimada, Osamu Sakata, Tadanori Fukami

2025

Abstract

In recent years, research focused on emotion based on brain activity has yielded significant insights into the mechanisms of information processing in the brain. Leveraging this knowledge, studies have increasingly examined the effects of various stimuli on human emotions, with applications progressing in fields such as neuromarketing. However, existing methods for emotion estimation from EEG—such as those using power spectra, correlations, or deep learning—face challenges in generalizability due to considerable individual differences. In this study, we applied multidimensional directed coherence analysis, which can analyze the flow of information in the brain, to the measured EEG data. Following this, we trained a neural network using data augmented with noise to simulate individual differences, proposing a method capable of generalizable emotion inference. As a result, we achieved an average accuracy rate of 99.91% on training data and 90.83% on test data.

Paper Citation

in Harvard Style

Torii H., Shimada T., Sakata O. and Fukami T. (2025). Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS; ISBN 978-989-758-731-3, SciTePress, pages 647-654. DOI: 10.5220/0013256000003911

in Bibtex Style

@conference{bioinformatics25,
author={Haruka Torii and Takamasa Shimada and Osamu Sakata and Tadanori Fukami},
title={Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS},
year={2025},
pages={647-654},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013256000003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS
TI - Electroencephalograph Based Emotion Estimation Using Multidimensional Directed Coherence and Neural Networks Under Noise
SN - 978-989-758-731-3
AU - Torii H.
AU - Shimada T.
AU - Sakata O.
AU - Fukami T.
PY - 2025
SP - 647
EP - 654
DO - 10.5220/0013256000003911
PB - SciTePress