Staff View: A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment

A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment

Computers; Covid19; Deep learning; Detection accuracy; Emotion; Emotion models; Full faces; High-accuracy; Pandemic; Performance study; Skin patch; Deep learning

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Bibliographic Details
Main Authors:	Saravanan P., Ravindran S., Weng L.Y., Mohamed Sahari K.S.B., Anuar A.B., Abdul Jalal M.F.B., Mohamad Rafaai Z.F.B., Raventhran P.N.A./P., Mohd Radzi H., Yussof S.
Other Authors:	57361356600
Format:	Conference Paper
Published:	Springer Science and Business Media Deutschland GmbH 2023
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id	my.uniten.dspace-26459
record_format	dspace
spelling	my.uniten.dspace-264592023-05-29T17:10:45Z A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment Saravanan P. Ravindran S. Weng L.Y. Mohamed Sahari K.S.B. Anuar A.B. Abdul Jalal M.F.B. Mohamad Rafaai Z.F.B. Raventhran P.N.A./P. Mohd Radzi H. Yussof S. 57361356600 57361613900 26326032700 57218170038 13609166500 57218163299 57218873528 57361614200 57361547000 16023225600 Computers; Covid19; Deep learning; Detection accuracy; Emotion; Emotion models; Full faces; High-accuracy; Pandemic; Performance study; Skin patch; Deep learning This paper studies emotion detection using deep learning on the prevalent usage of face masks in the Covid-19 pandemic. Internet repository data Karolinska Directed Emotional Faces (KDEF) [1] was used as a base database, in which it was segmented into different portions of the face, such as forehead patch, eye patch, and skin patch to be representing segments of the face covered or exposed by the mask were transfer learned to an Inception v3 model. Results show that the full-face model had the highest accuracy 74.68% followed by the skin patch (area occluded by the mask) 65.09%. The models trained on full-face were then used to inference the different face segments/patches that showed poor inferencing results. However, certain emotions are more distinct around the eye region. Therefore, this paper concludes that upper segmented faces result in higher accuracy for training models over full faces, yet future research needs to be done on additional occlusion near the eye section. � 2021, Springer Nature Switzerland AG. Final 2023-05-29T09:10:45Z 2023-05-29T09:10:45Z 2021 Conference Paper 10.1007/978-3-030-90235-3_28 2-s2.0-85120526493 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120526493&doi=10.1007%2f978-3-030-90235-3_28&partnerID=40&md5=878ac9a60ff45343883882122a4e00be https://irepository.uniten.edu.my/handle/123456789/26459 13051 LNCS 322 331 Springer Science and Business Media Deutschland GmbH Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Computers; Covid19; Deep learning; Detection accuracy; Emotion; Emotion models; Full faces; High-accuracy; Pandemic; Performance study; Skin patch; Deep learning
author2	57361356600
author_facet	57361356600 Saravanan P. Ravindran S. Weng L.Y. Mohamed Sahari K.S.B. Anuar A.B. Abdul Jalal M.F.B. Mohamad Rafaai Z.F.B. Raventhran P.N.A./P. Mohd Radzi H. Yussof S.
format	Conference Paper
author	Saravanan P. Ravindran S. Weng L.Y. Mohamed Sahari K.S.B. Anuar A.B. Abdul Jalal M.F.B. Mohamad Rafaai Z.F.B. Raventhran P.N.A./P. Mohd Radzi H. Yussof S.
spellingShingle	Saravanan P. Ravindran S. Weng L.Y. Mohamed Sahari K.S.B. Anuar A.B. Abdul Jalal M.F.B. Mohamad Rafaai Z.F.B. Raventhran P.N.A./P. Mohd Radzi H. Yussof S. A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
author_sort	Saravanan P.
title	A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
title_short	A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
title_full	A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
title_fullStr	A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
title_full_unstemmed	A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment
title_sort	performance study on emotion models detection accuracy in a pandemic environment
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2023
_version_	1806423550001676288
score	13.211869

A Performance Study on Emotion Models Detection Accuracy in a Pandemic Environment

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