Gender classification based on human radiation frequencies of chakra points and brain regions

Gender classification based on human radiation frequencies of chakra points and brain regions

This paper discusses on gender classification using k-nearest neighbor technique based on human radiation frequencies of chakra points and brain regions. The data applied in this study have been collected from 34 samples consisting of 17 males and 17 females. Frequency counter has been used for capt...

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Published in:International Conference on Electronic Devices, Systems, and Applications
Main Author: Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
Format: Conference paper
Language:English
Published: 2012
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877830206&doi=10.1109%2fICEDSA.2012.6507794&partnerID=40&md5=c4f033389c7c6ba8db995f9abfedc907
id 2-s2.0-84877830206
spelling 2-s2.0-84877830206
Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
Gender classification based on human radiation frequencies of chakra points and brain regions
2012
International Conference on Electronic Devices, Systems, and Applications


10.1109/ICEDSA.2012.6507794
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877830206&doi=10.1109%2fICEDSA.2012.6507794&partnerID=40&md5=c4f033389c7c6ba8db995f9abfedc907
This paper discusses on gender classification using k-nearest neighbor technique based on human radiation frequencies of chakra points and brain regions. The data applied in this study have been collected from 34 samples consisting of 17 males and 17 females. Frequency counter has been used for capturing the radiation at all points and regions. K-nearest neighbor and k-fold cross validation techniques have been applied for classification and validation respectively. Three groups of points have been considered for classification and validation. Group 1 consists of seven chakra points and four brain regions, group two consists of three chakra points and group 3 consists of three chakra points and one brain region. The outcome of this study shows group 1 has the highest accuracy in gender prediction. © 2012 IEEE.

21592055
English
Conference paper
author Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
spellingShingle Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
Gender classification based on human radiation frequencies of chakra points and brain regions
author_facet Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
author_sort Haron M.H.; Taib M.N.; Amin Megat Ali M.S.; Yunus M.M.; Jalil S.Z.A.
title Gender classification based on human radiation frequencies of chakra points and brain regions
title_short Gender classification based on human radiation frequencies of chakra points and brain regions
title_full Gender classification based on human radiation frequencies of chakra points and brain regions
title_fullStr Gender classification based on human radiation frequencies of chakra points and brain regions
title_full_unstemmed Gender classification based on human radiation frequencies of chakra points and brain regions
title_sort Gender classification based on human radiation frequencies of chakra points and brain regions
publishDate 2012
container_title International Conference on Electronic Devices, Systems, and Applications
container_volume
container_issue
doi_str_mv 10.1109/ICEDSA.2012.6507794
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877830206&doi=10.1109%2fICEDSA.2012.6507794&partnerID=40&md5=c4f033389c7c6ba8db995f9abfedc907
description This paper discusses on gender classification using k-nearest neighbor technique based on human radiation frequencies of chakra points and brain regions. The data applied in this study have been collected from 34 samples consisting of 17 males and 17 females. Frequency counter has been used for capturing the radiation at all points and regions. K-nearest neighbor and k-fold cross validation techniques have been applied for classification and validation respectively. Three groups of points have been considered for classification and validation. Group 1 consists of seven chakra points and four brain regions, group two consists of three chakra points and group 3 consists of three chakra points and one brain region. The outcome of this study shows group 1 has the highest accuracy in gender prediction. © 2012 IEEE.
publisher
issn 21592055
language English
format Conference paper
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record_format scopus
collection Scopus
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