Gender classification using ANN based on human radiation frequencies

This paper discusses about classification of human gender based on human frequencies of chakra points and brain regions. The main techniques used in this study are Artificial Neural Network (ANN) and k-fold cross-validation. ANN technique has been used for gender prediction and k-fold cross-validation for validation of classifier. All measurements are based on radio frequency readings. Data from 34 samples consist of 17 males and 17 females have been recorded. Three groups of points have been analyzed during classification and validation. Group 1 consists of seven chakra points and four brain regions, Group 2 consists of three chakra points and Group 3 consists of three chakra points and one brain region. The results show the variables in Group 1 are best for gender classification.