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Stress classification based on human electromagnetic radiation analysis

Stress is a feeling of emotional or physical tension due to events that makes one feel frustrated, angry or nervous. It is a situation that trigger biological response when a person encounters a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation...

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Main Authors: Mardhiah, T. A., Akmal, T. Z., Talib, A. H. Q. A., Jalil, S. Z. A., Aris, S. A. M.
Format: Article
Published: Institute of Advanced Engineering and Science 2021
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/94165/
http://www.dx.doi.org/10.11591/ijeecs.v22.i2.pp218-226
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spelling my.utm.941652022-02-28T13:17:36Z http://eprints.utm.my/id/eprint/94165/ Stress classification based on human electromagnetic radiation analysis Mardhiah, T. A. Akmal, T. Z. Talib, A. H. Q. A. Jalil, S. Z. A. Aris, S. A. M. T Technology (General) Stress is a feeling of emotional or physical tension due to events that makes one feel frustrated, angry or nervous. It is a situation that trigger biological response when a person encounters a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). EMR frequency are captured at seven major chakra points and being analyzed using multivariate analysis of variance (MANOVA) to identify the significance points for the classification. Locally weighted learning (LWL) algorithm is used to classify the collected data. The results show stress classification using EMR based on third eye and throat chakra points obtained accuracy of more than 60%. Institute of Advanced Engineering and Science 2021 Article PeerReviewed Mardhiah, T. A. and Akmal, T. Z. and Talib, A. H. Q. A. and Jalil, S. Z. A. and Aris, S. A. M. (2021) Stress classification based on human electromagnetic radiation analysis. Indonesian Journal of Electrical Engineering and Computer Science, 22 (2). pp. 218-226. ISSN 2502-4752 http://www.dx.doi.org/10.11591/ijeecs.v22.i2.pp218-226 DOI: 10.11591/ijeecs.v22.i2.pp218-226
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Mardhiah, T. A.
Akmal, T. Z.
Talib, A. H. Q. A.
Jalil, S. Z. A.
Aris, S. A. M.
Stress classification based on human electromagnetic radiation analysis
description Stress is a feeling of emotional or physical tension due to events that makes one feel frustrated, angry or nervous. It is a situation that trigger biological response when a person encounters a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). EMR frequency are captured at seven major chakra points and being analyzed using multivariate analysis of variance (MANOVA) to identify the significance points for the classification. Locally weighted learning (LWL) algorithm is used to classify the collected data. The results show stress classification using EMR based on third eye and throat chakra points obtained accuracy of more than 60%.
format Article
author Mardhiah, T. A.
Akmal, T. Z.
Talib, A. H. Q. A.
Jalil, S. Z. A.
Aris, S. A. M.
author_facet Mardhiah, T. A.
Akmal, T. Z.
Talib, A. H. Q. A.
Jalil, S. Z. A.
Aris, S. A. M.
author_sort Mardhiah, T. A.
title Stress classification based on human electromagnetic radiation analysis
title_short Stress classification based on human electromagnetic radiation analysis
title_full Stress classification based on human electromagnetic radiation analysis
title_fullStr Stress classification based on human electromagnetic radiation analysis
title_full_unstemmed Stress classification based on human electromagnetic radiation analysis
title_sort stress classification based on human electromagnetic radiation analysis
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utm.my/id/eprint/94165/
http://www.dx.doi.org/10.11591/ijeecs.v22.i2.pp218-226
_version_ 1726791490898755584
score 13.211869

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