Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The population of obesity is increasing in not only advanced nations but also in developing ones. Obesity often leads to lifestyle related disease such as diabetes and hypertension. Therefore, it is recommended to improve lifestyles and decrease weight before contracting diseases. However, if people decrease their weight drastically, the risk of rebound weight increases. With the view of this problem, we developed the weight-loss pattern visualization system which provides recommended weight transit based on 443 successful cases. The system supports weight control for 30 days, and the recommended weight transit is converged on individual target weight. In addition, the limit of increase in weight in a day is drawn along with the recommended weight transit. According to our comparative evaluation with a system without weight-loss pattern visualization, the weight reduction of users who used the developed system is greater than that of the comparative one significantly. The results suggest that the weight-loss pattern visualization has more effectiveness on weight control.
