Analysis of the emotions' brainwaves
- Witman Alvarado-Díaz,
- ,
- Avid Roman-Gonzalez
- Universidad de Ciencias y Humanidades,
Research Output:
Contribution to journal
Article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Contribution to journal
Article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 57-60 (4 pages)Journal (Volume, Issue Number)
International Journal of Advanced Computer Science and Applications (Volume 10, Issue 5)Publication milestones
- Published - 2019
Publication status
Published - 2019
ISSN
2158-107XPublication IDs
- Scopus: 85066764319
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.
