Abstract
By development of sensor technology, wireless communication, machine learning and artificial intelligence techniques, smart environments have improved into a significant research area. A kind of smart environment is smart home that provides an intelligent and integrated environment, equipped with sensors and actuators. Activity of Daily Living (ADL) in smart homes has helped in elderly care, health care, etc. Human Activity Recognition (HAR) is the task involved in reasoning within smart homes with the purpose of recognizing the ongoing activity of the resident and is inferred using machine learning and artificial intelligence methods out of sensors data. In this paper, we have proposed an activity mining and tracking method called Uncertain Pattern-Discovery Method that enables tracking regular activities and detect changes in an individuals behavioral pattern and lifestyle.
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