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

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