Human Activity Recognition UsingBayesian Networks

Activity recognition in a smart home environment is focused on the Activities of daily living (ADL), whether not education, or least in the first phaseinterpretation (SETUP). Activities has been implemented by human users that seem definitely complex and multitasking. Any work daily is more than one activity. We call this sub-activities as an atomic activities which is defined as a first level activities. In addition the present atomic ctivities are implements as a routine operation. In this paper we are going to provide an online solution and with less computational complexity in determining our activities. In this paper, we used Bayesian network as classifier and Activity recognition in contrast to previous works, the results indicate that the proposed system better success rather tree-based method C4.5, with 56 percent accuracy is an identifying the business activity.

Keywords:

smart home , Activity recognition , Bayesian network