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Human emotion detection based on machine learning
Joint Authors
Miftn, Firas S.
Muhsin, Muntazar M.
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 11, Issue 2 (30 Nov. 2021), pp.42-52, 11 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2021-11-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Emotion is a mental and physiological state associated with a wide variety of feelings, thoughts and behaviors.
Emotions are fundamental in the daily life of human beings as they play an important role in human cognition, namely in rational decision-making, perception, human interaction, and human intelligence.
This paper investigates the effect for the emotion-discriminating precision of Different wave levels of EEG signals and a particular number of channels.
It using various sets of EEG channels, the proposal classified affective states in the equivalence and excitability dimensions.
To begin, DEAP normalized the pretreated hypothetical data.
Following that, discrete wavelet transduction was used to divide the EEG into four bands, The scales used were the features of the K-nearest neighbor Algorithm entropy and energy algorithm.
The highest classification accuracy was using the K-NN algorithm for channels (4-10-14-18, 32) in the four dimensions (valence, arousal, dominance, and liking).
They are channel 18 (99.7656%, 99.7656%, 99.7656%, 99.7656%) respectively.
While the highest classification accuracy for the frequency bands is the gamma frequency greater from beta and alpha and theta frequency for the four dimensions is (99.7656%)
American Psychological Association (APA)
Miftn, Firas S.& Muhsin, Muntazar M.. 2021. Human emotion detection based on machine learning. Journal of College of Education for Pure Sciences،Vol. 11, no. 2, pp.42-52.
https://search.emarefa.net/detail/BIM-1384471
Modern Language Association (MLA)
Miftn, Firas S.& Muhsin, Muntazar M.. Human emotion detection based on machine learning. Journal of College of Education for Pure Sciences Vol. 11, no. 2 (Nov. 2021), pp.42-52.
https://search.emarefa.net/detail/BIM-1384471
American Medical Association (AMA)
Miftn, Firas S.& Muhsin, Muntazar M.. Human emotion detection based on machine learning. Journal of College of Education for Pure Sciences. 2021. Vol. 11, no. 2, pp.42-52.
https://search.emarefa.net/detail/BIM-1384471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 50-52
Record ID
BIM-1384471