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A study of frequency radiation of human torso for gender classification

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Main Authors: Siti Zura, A. Jalil, Mohd Nasir, Taib, Prof. Dr., Hasnain, Abdulllah@Idris, Megawati, Mohd Yunus
Other Authors: zura@ic.utm.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Frequency
Human Radiation Wave
Gender classification
k-Nearest Neighbor algorithm (k-NN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21370
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id my.unimap-21370
record_format dspace
spelling my.unimap-213702013-02-21T03:12:50Z A study of frequency radiation of human torso for gender classification Siti Zura, A. Jalil Mohd Nasir, Taib, Prof. Dr. Hasnain, Abdulllah@Idris Megawati, Mohd Yunus zura@ic.utm.my dr.nasir@ieee.org Frequency Human Radiation Wave Gender classification k-Nearest Neighbor algorithm (k-NN) Link to publisher's homepage at http://ieeexplore.ieee.org/ Studies on human body have shown that they radiate frequencies into space. Radiation of the human body has become attractive biometric feature that is based on holistic body information. This study presents a new technique for classification that is used to classify gender of males and females through frequency radiation analysis in torso region. The classification algorithm of k-nearest neighbor is employed for classification purposes. It was found that the proposed technique can classify gender correctly with sensitivity of 96% and specificity 73%, across 33 subjects. Experimental results proposed that the technique is suitable and can be used to classify gender using frequency radiation analysis of human torso. 2012-10-16T01:39:53Z 2012-10-16T01:39:53Z 2012-02-27 Working Paper p. 342-346 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179035 http://hdl.handle.net/123456789/21370 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Frequency
Human Radiation Wave
Gender classification
k-Nearest Neighbor algorithm (k-NN)
spellingShingle Frequency
Human Radiation Wave
Gender classification
k-Nearest Neighbor algorithm (k-NN)
Siti Zura, A. Jalil
Mohd Nasir, Taib, Prof. Dr.
Hasnain, Abdulllah@Idris
Megawati, Mohd Yunus
A study of frequency radiation of human torso for gender classification
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 zura@ic.utm.my
author_facet zura@ic.utm.my
Siti Zura, A. Jalil
Mohd Nasir, Taib, Prof. Dr.
Hasnain, Abdulllah@Idris
Megawati, Mohd Yunus
format Working Paper
author Siti Zura, A. Jalil
Mohd Nasir, Taib, Prof. Dr.
Hasnain, Abdulllah@Idris
Megawati, Mohd Yunus
author_sort Siti Zura, A. Jalil
title A study of frequency radiation of human torso for gender classification
title_short A study of frequency radiation of human torso for gender classification
title_full A study of frequency radiation of human torso for gender classification
title_fullStr A study of frequency radiation of human torso for gender classification
title_full_unstemmed A study of frequency radiation of human torso for gender classification
title_sort study of frequency radiation of human torso for gender classification
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21370
_version_ 1643793363920486400
score 13.160551

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