A Framework for Healthcare Everywhere: BMI Prediction Using Kinect and Data Mining Techniques on Mobiles

摘要

Recently, health-care has become a popular issue. Having a good physique is also commonly regarded as important for being healthy. For evaluating our body status, the Body Mass Index (BMI) is a widely used indicator. However, calculating BMI is inconvenient and requires the physical measuring of people's weights and heights. In this paper, we are interested in building a mobile-based BMI prediction system using Kinect and data mining techniques so that everybody can easily monitor their BMI everywhere by taking a snapshot of their face. The rationale behind this is the intuition that there is a correlation between the shape of one's face and one's BMI values, which people often act on when noticing a friend has either gained or lost weight. Through the evaluations of 50 volunteers, we show that the rules for training BMI prediction match with people's common intuitions.