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Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition

by Leena Bhole, Maya Ingle
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 13
Year of Publication: 2019
Authors: Leena Bhole, Maya Ingle
10.5120/ijca2019918896

Leena Bhole, Maya Ingle . Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition. International Journal of Computer Applications. 178, 13 ( May 2019), 16-21. DOI=10.5120/ijca2019918896

@article{ 10.5120/ijca2019918896,
author = { Leena Bhole, Maya Ingle },
title = { Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2019 },
volume = { 178 },
number = { 13 },
month = { May },
year = { 2019 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number13/30590-2019918896/ },
doi = { 10.5120/ijca2019918896 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:50:17.061585+05:30
%A Leena Bhole
%A Maya Ingle
%T Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 13
%P 16-21
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

EEG based emotion recognition is the most significant technique to identify human emotions effectively. An attempt is made to identify range of frequency bands for each discrete emotion using frequency band analysis of EEG signals. Each frequency band is associated with relative power values. These relative power values assist to estimate range for frequency bands. The results are evaluated for absolute and relative power values of EEG signal in each frequency band. Further, Bayesian network is constructed to represent relationship between frequency bands and emotion. As a result, theta and alpha bands found to be more active than beta and gamma.

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Index Terms

Computer Science
Information Sciences

Keywords

Electroencephalogram (EEG) Power Spectral Density (PSD) absolute and relative power Bayesian network

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