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EEG based Emotion Recognition using SVM and LibSVM

by Aadhya Bhatt, Ananta Bhatt
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 45
Year of Publication: 2019
Authors: Aadhya Bhatt, Ananta Bhatt
10.5120/ijca2019919352

Aadhya Bhatt, Ananta Bhatt . EEG based Emotion Recognition using SVM and LibSVM. International Journal of Computer Applications. 178, 45 ( Sep 2019), 1-3. DOI=10.5120/ijca2019919352

@article{ 10.5120/ijca2019919352,
author = { Aadhya Bhatt, Ananta Bhatt },
title = { EEG based Emotion Recognition using SVM and LibSVM },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 45 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number45/30848-2019919352/ },
doi = { 10.5120/ijca2019919352 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:09.456466+05:30
%A Aadhya Bhatt
%A Ananta Bhatt
%T EEG based Emotion Recognition using SVM and LibSVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 45
%P 1-3
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we solely focus on the EEG dataset. Using SVM classifier with external library LibSVM (3.23), we have classified our EEG SEED dataset and have achieved tremendous improvement in the accuracy and performance. Moreover, we have listed and explained the different approaches followed to improvise the performance and accuracy of our dataset. Further, we have also compared various existing approaches performed on our dataset using various classifiers - ELM, SVM with KNN, SVM with SEED dataset and SVM with DEAP dataset. By using library LibSVM (3.23), we increased the performance of each run by 4% finally resulting with 79.38% accuracy having tensor flow environment.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SVM SEED Dataset KNN ELM emotions

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