Diabetic patient care using home user activity recognition

This paper describes user activity recognition in home network - several ways for developers to define some model for logging, analyzing, mining, measuring and recommending user's activity. These activities are based on home networking between devices (gadgets, sensors, appliances, and some software applications at computers) and providing some standard interfaces for these activities. Users spend a lot of time at home and even if mobile gadget should be synced within home appliances. User's life pattern can be achieved from some data such as network traffic, control data, energy consumption, pims (calendar, email, todo, and so on), contents and actual user's profile. In this paper, we will explain how to care a diabetic patient using user activity recognition at home.