Gender detection based on pulmonary function test

Abstract

In this work, we proposed a new gender detection algorithm based on pulmonary function test. The proposed method has three main stages. In first the stage, some features are extracted from pulmonary function test. In the second stage, the probabilistic models based on Gaussian Mixture Model (GMM) are trained using these features, and in the final stage, the gender of test person is detected based on likelihood ratio test.