A Multidimensional Human Health State Portrayal System Based on Stress Footprint Images

Abstract

In recent years, due to the accelerated pace of life and increased life stress, more and more people are stepping into subhealthy state, which has caused widespread concern in the society. This project aims to analyze the footprint stress image, extract some of the footprint characteristic values from it, use the multi-dimensional health indices such as BMI, Broca's formula, body fat percentage to assess the human health level, analyze the user's physical health to output data, including height, weight, BMI, standard weight, body fat percentage, body posture assessment, in order to provide some implications for the field of health detection through footprint pressure images.