Happy Emotion Classification based on EEG analysis

Authors

  • Priyanka D V M.Tech. student, Department of CSE, UBDT College of Engineering, Davangere, India

Keywords:

EEG Analysis; Emotion; Emotion classification; k Nearest Neighbour

Abstract

Emotion classification is one of the trending topic since a famous psychologist Plato, Aristotle and so on. Earlier it was a
topic of interest in the field of psychology. Gradually, entered the field of Medical Sciences and now in Engineering domain. There are
several methods through which emotion has been tried to classify, for example using gesture analysis, facial expressions, speech analysis
and so on. This paper is one such an attempt to analyze the captured EEG signals by extracting the features of signals from the subject
under expert supervision.

Downloads

Published

2017-07-25

How to Cite

Priyanka D V. (2017). Happy Emotion Classification based on EEG analysis. International Journal of Advance Research in Engineering, Science & Technology, 4(7), 243–247. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1689

Issue

Vol. 4 No. 7 (2017): Volume: 04, Issue: 07 - July, 2017.

Section

Articles