A Study on Predicting Body Weight through Footprints Using Fuzzy Logic

Abstract

Predicting body weight by scanning only footprints is an emerging topic of research. There are lots of statistics in different regions of the earth. There are several techniques to detect body weight from footprints. This study reviews some recent phenomena. But the inputs or scanning of images are vague in major cases. Crisp measurements deliver results with an error. Fuzzy logic captures the uncertain systems perfectly. In this study, a fuzzy logic model has been designed for predicting body weights from footprints. Here length, area of feet and gender are taken inputs for the Mamdani FIS system. These inputs are perfect for detecting body weights. This study also compares similar results. This study also includes discussing human body weight prediction from footprints by deep learning method and statistical analysis for male females’ body weight through their footprints.