This paper discusses the relationship of frequency radiation of the human body. The human radiation of endogenous electromagnetic field in human body is experimentally studied from 33 healthy human subjects. Different parts of the body radiation frequency are investigated separately. Statistical properties of body radiation frequency have been investigated. It is found that human body has different relationship of body radiation between males and females.
This paper describes an analysis of body radiation frequency for the purpose of gender classification. The human radiation frequency is experimentally studied from 33 healthy human subjects of 17 males and 16 females. KNN classifier is employed for gender classification. The number of training to testing ratio was evaluated at 50 to 50, 60 to 40 and 70 to 30, to determine best classification accuracy. The data was analyzed separately of raw dataset and post-processing dataset to compare the classification results. At first, the data was classified using raw dataset and yields the classification accuracy of 93.8%. Then, the postprocessing data was applied to the classifier, and it was found that the classification accuracy was improved to perfect classification on k = 5, 7, 11 and 13 to 15.
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.
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