Applying User Model as the Basis for Daily Exercise Support Application

Nowadays people's life become more rich and convenient than before, but the obesity also become a problem with people. One cause of obesity is lack of exercise. Although the reason is known by people and the method of keeping health is self maintenance, but it is hard for most people, especially the elderly people. Because of this, we design a daily exercise support application, which is based on the user model, to provide health maintain support. In this research, we focus on applying user model to help people. Because a person's health situation relates to his everyday activities, the users' data of daily life can be the data to build the user model. Thus we choose to use sensors to recode the amount of exercise and users' motion data to build the user model. We obtained the user's motion data and the amount of exercise from sensors firstly, and use fuzzy inference and fuzzy membership function to recognize the motion data. And then, the user model can be constructed by mining motion data and the amount of exercise. Finally, the daily exercise support application can offer service to the user by applying the user model. Furthermore, we will show two kind of exercise support service of the application.