Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin

This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body se...

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Main Author: A. Jalil @ Zainuddin, Siti Zura
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2015
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf
http://ir.uitm.edu.my/id/eprint/19371/
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spelling my.uitm.ir.193712018-06-11T04:55:18Z http://ir.uitm.edu.my/id/eprint/19371/ Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin A. Jalil @ Zainuddin, Siti Zura Malaysia This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body segments of Chakra, Left, Right, Upper body, Torso, Arm and Lower body. Initially, the characteristics of frequency radiation are examined using statistical tools to find the correlations between variables. Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. The classifiers are evaluated through analysis of the performance indicators applied in medical research of accuracy, precision, sensitivity and specificity in receiver operating characteristics (ROC) analysis. The findings obtained from this research show that the wave radiation characteristics of a male and a female human body are different. The proposed technique is able to distinguish gender and classify body segments, and it is justified using MANOVA statistical tests… Institute of Graduate Studies, UiTM 2015 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf A. Jalil @ Zainuddin, Siti Zura (2015) Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin. In: The Doctoral Research Abstracts. IGS Biannual Publication, 7 (7). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
A. Jalil @ Zainuddin, Siti Zura
Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
description This thesis presents a novel analysis and classification of human radiation wave for gender and body segments recognition. The human body has been shown to emit radiation into space surrounding their body. The research study frequency radiations at 23 points of the human body segregated into body segments of Chakra, Left, Right, Upper body, Torso, Arm and Lower body. Initially, the characteristics of frequency radiation are examined using statistical tools to find the correlations between variables. Multivariate analysis of variance (MANOVA) is employed to compare the differences of frequency radiation characteristics between genders. Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. The classifiers are evaluated through analysis of the performance indicators applied in medical research of accuracy, precision, sensitivity and specificity in receiver operating characteristics (ROC) analysis. The findings obtained from this research show that the wave radiation characteristics of a male and a female human body are different. The proposed technique is able to distinguish gender and classify body segments, and it is justified using MANOVA statistical tests…
format Book Section
author A. Jalil @ Zainuddin, Siti Zura
author_facet A. Jalil @ Zainuddin, Siti Zura
author_sort A. Jalil @ Zainuddin, Siti Zura
title Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
title_short Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
title_full Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
title_fullStr Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
title_full_unstemmed Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
title_sort human body radiation wave analysis and classification for gender and body segments recognition / siti zura a. jalil @ zainuddin
publisher Institute of Graduate Studies, UiTM
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/19371/1/ABS_SITI%20ZURA%20A.%20JALIL%20%40%20ZAINUDDINTDRA%20VOL%207%20IGS%2015.pdf
http://ir.uitm.edu.my/id/eprint/19371/
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score 13.211869