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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Analysis of the Emotions’ Brainwaves

Author 1: Witman Alvarado-Díaz Author 2: Brian Meneses-Claudio Author 3: Avid Roman-Gonzalez
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 5 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100509

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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

How to Cite this Article

Alvarado-Díaz, W., Meneses-Claudio, B., & Roman-Gonzalez, A. (2019). Analysis of the Emotions’ Brainwaves. International Journal of Advanced Computer Science and Applications, 10(5). https://doi.org/10.14569/IJACSA.2019.0100509

Alvarado-Díaz, Witman, et al.. "Analysis of the Emotions’ Brainwaves." International Journal of Advanced Computer Science and Applications, vol. 10, no. 5, 2019, https://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},
  volume    = {10},
  number    = {5},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Witman Alvarado-Díaz and Brian Meneses-Claudio and Avid Roman-Gonzalez},
  doi       = {10.14569/IJACSA.2019.0100509},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100509}
}

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