Classification of human radiation wave on the Upper body segment

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.