An activity recognition based approach for energy efficiency in smart home

Abstract

Smart Home is a set of devices that meet the human obstacles in an automatic way and the webs. We have developed a smart program that integrates with the functions of this latter, which reduces the consumption of electricity by recognizing the human activity at home based on the database we prepared after To monitor our house and classify them in the form of groups by the algorithm of aggregation and then we find a technique to make the latter work in an integrated or integrated with the classification algorithm to obtain accurate results as we entered new data and classification according to the results of the assembly to find the nearest Each group agrees with the input and comparison stage comes between the results of Algorithms to output devices that must be turned off for lack of function while in the process of one of the studied activities