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...
Published in: | 2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015 |
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Institute of Electrical and Electronics Engineers Inc.
2015
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961838444&doi=10.1109%2fICBAPS.2015.7292211&partnerID=40&md5=8cca8ee953c2ab48867cb63205c31c7d |
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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 |
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2015 International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2015 |
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doi_str_mv |
10.1109/ICBAPS.2015.7292211 |
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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. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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scopus |
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Scopus |
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1809677786374209536 |