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Title: A study of frequency radiation of human torso for gender classification
Authors: Siti Zura, A. Jalil
Mohd Nasir, Taib, Prof. Dr.
Hasnain, Abdulllah@Idris
Megawati, Mohd Yunus
???metadata.dc.contributor.url???: zura@ic.utm.my
Keywords: Frequency;Human Radiation Wave;Gender classification;k-Nearest Neighbor algorithm (k-NN)
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 342-346
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: 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.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179035
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

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