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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Analysis of the Emotions’ Brainwaves
Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100509
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.
Abstract: Currently in Peru, patients with degenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS) have lost of communication ability. Many researchers’ papers that establish basic communication system for these patients. It is also essential to know their feelings or state of mind through their emotions, in this study, we present an analysis of electroencephalographic signals (EEG) applied to emotions such as fear, tenderness, happiness and surprised; it was used linear discriminant analysis (LDA) to get the identification and classification of the 4 emotions with a success rate of 63.36% on average.
Keywords: Electroencephalogram; EEG; emotions; amyotrophic lateral sclerosis; degenerative diseases; classification learner
Witman Alvarado-Díaz, Brian Meneses-Claudio and Avid Roman-Gonzalez, “Analysis of the Emotions’ Brainwaves” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100509
@article{Alvarado-Díaz2019,
title = {Analysis of the Emotions’ Brainwaves},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100509},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100509},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Witman Alvarado-Díaz and Brian Meneses-Claudio and Avid Roman-Gonzalez}
}
