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Emotion Detection for Live Video Face Expression – Standard Learning Techniques

by Reeja S.R., Ishfaq Yaseen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 15
Year of Publication: 2022
Authors: Reeja S.R., Ishfaq Yaseen
10.5120/ijca2022922134

Reeja S.R., Ishfaq Yaseen . Emotion Detection for Live Video Face Expression – Standard Learning Techniques. International Journal of Computer Applications. 184, 15 ( Jun 2022), 4-7. DOI=10.5120/ijca2022922134

@article{ 10.5120/ijca2022922134,
author = { Reeja S.R., Ishfaq Yaseen },
title = { Emotion Detection for Live Video Face Expression – Standard Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2022 },
volume = { 184 },
number = { 15 },
month = { Jun },
year = { 2022 },
issn = { 0975-8887 },
pages = { 4-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number15/32392-2022922134/ },
doi = { 10.5120/ijca2022922134 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:29.093155+05:30
%A Reeja S.R.
%A Ishfaq Yaseen
%T Emotion Detection for Live Video Face Expression – Standard Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 15
%P 4-7
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Facial Emotion detection is taken into consideration very full-size for Human Computer Interaction and that they play vital position in regular people life. In latest years Convolutional Neural Network (CNNs) has end up very famous amongst researchers for picture primarily based totally analysis, due to the fact CNNs have generated satisfactory results. However, CNNs desires a number of records to train. This trouble has been addressed via way of means of numerous researchers who've educated CNNs with tens of thousands and thousands of pictures, this education understanding also can be utilized in a unique challenge that's called Transfer Learning. We assume the Facial Emotion Recognition version emotion detection to be beneficial in lots of programs including predictive mastering of students, lie detectors, etc.The proposed technique received 100% accuracy in emotion detection and 99.52% accuracy achieved for the proposed metho.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Emotion Detection Face Expression

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