Skip to search boxSkip to navigationSkip to main content

Analysis of the emotions' brainwaves

Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages 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

2158-107X

Publication 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.