Classification of human radiation wave on the Upper body segment

Author

Jalil, Siti Zura A. ; Taib, M.N. ; Idris, Hasnain Abdullah ; Yunus, M.M.

Author_Institution

Razak Sch. of Eng. & Adv. Technol., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia

fYear

2013

fDate

19-20 Aug. 2013

Firstpage

73

Lastpage

77

Abstract

Endogenous electromagnetic field of the human body have been found to radiate into the space surround the body. The field is called as human radiation wave that encircle the physical body and vibrates at certain frequency. In this paper, a classification technique that is used to classify male and female gender through frequency analysis of human radiation wave is proposed, which the study focus on Upper body part in human body segmentation. For classification purpose, the k-Nearest Neighbor (KNN) algorithm is employed, which the results show that 100% classification is produced on accuracy, sensitivity and specificity. This outcome demonstrates that KNN is successfully classifying the male and female frequencies on human Upper body segment.

Keywords

electromagnetic fields; pattern classification; sensitivity analysis; vibrations; endogenous electromagnetic field; female gender classification; frequency analysis; human body segmentation; human radiation wave; human radiation wave classification; k-nearest neighbor algorithm; male gender classification; physical body; sensitivity; upper body segment; vibration; Accuracy; Classification algorithms; Conferences; Reliability; Sensitivity; Sensitivity and specificity; Systems engineering and theory; Frequency; Gender Classification; Human Radiation Wave; KNN;

fLanguage

English

Publisher

ieee

Conference_Titel

System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on

Conference_Location

Shah Alam

Print_ISBN

978-1-4799-1028-1

Type

conf

DOI

10.1109/ICSEngT.2013.6650146

Filename

6650146