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

• 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
• ISSN: 21592055
• DOI: 10.1109/ICEDSA.2012.6507794

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.