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.
