Human body radiation wave analysis on the human torso

All living body has been shown to emit radiation into space surrounding their body. The radiation field encloses the physical body and emits the characteristics of frequency radiation. This study discusses the analysis of human body radiation wave on the human torso and compares their frequency char...

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Published in:2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015
Main Author: Jalil S.Z.A.; Abdullah H.; Taib M.N.
Format: Retracted
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961838444&doi=10.1109%2fICBAPS.2015.7292211&partnerID=40&md5=8cca8ee953c2ab48867cb63205c31c7d
id 2-s2.0-84961838444
spelling 2-s2.0-84961838444
Jalil S.Z.A.; Abdullah H.; Taib M.N.
Human body radiation wave analysis on the human torso
2015
2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015


10.1109/ICBAPS.2015.7292211
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961838444&doi=10.1109%2fICBAPS.2015.7292211&partnerID=40&md5=8cca8ee953c2ab48867cb63205c31c7d
All living body has been shown to emit radiation into space surrounding their body. The radiation field encloses the physical body and emits the characteristics of frequency radiation. This study discusses the analysis of human body radiation wave on the human torso and compares their frequency characteristics between genders. At first, the characteristic of radiation frequency is determined by employing statistical analysis of correlation and analysis of variance. The results show that the characteristic difference of radiation frequency between males and females in human torso is significant. Then, for the purpose of classification, the k-nearest neighbor is used as classification algorithm. The results show that the proposed technique properly classifies gender with accuracy of 100 percent. Experimental results recommend that the proposed technique is appropriate and capable to classify gender using frequency analysis of the human torso radiation. © 2015 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Retracted

author Jalil S.Z.A.; Abdullah H.; Taib M.N.
spellingShingle Jalil S.Z.A.; Abdullah H.; Taib M.N.
Human body radiation wave analysis on the human torso
author_facet Jalil S.Z.A.; Abdullah H.; Taib M.N.
author_sort Jalil S.Z.A.; Abdullah H.; Taib M.N.
title Human body radiation wave analysis on the human torso
title_short Human body radiation wave analysis on the human torso
title_full Human body radiation wave analysis on the human torso
title_fullStr Human body radiation wave analysis on the human torso
title_full_unstemmed Human body radiation wave analysis on the human torso
title_sort Human body radiation wave analysis on the human torso
publishDate 2015
container_title 2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015
container_volume
container_issue
doi_str_mv 10.1109/ICBAPS.2015.7292211
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961838444&doi=10.1109%2fICBAPS.2015.7292211&partnerID=40&md5=8cca8ee953c2ab48867cb63205c31c7d
description All living body has been shown to emit radiation into space surrounding their body. The radiation field encloses the physical body and emits the characteristics of frequency radiation. This study discusses the analysis of human body radiation wave on the human torso and compares their frequency characteristics between genders. At first, the characteristic of radiation frequency is determined by employing statistical analysis of correlation and analysis of variance. The results show that the characteristic difference of radiation frequency between males and females in human torso is significant. Then, for the purpose of classification, the k-nearest neighbor is used as classification algorithm. The results show that the proposed technique properly classifies gender with accuracy of 100 percent. Experimental results recommend that the proposed technique is appropriate and capable to classify gender using frequency analysis of the human torso radiation. © 2015 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Retracted
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record_format scopus
collection Scopus
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