A fuzzy predictor model for the occupancy prediction of an intelligent inhabited environment

In this paper, the prediction of the occupancy of different areas in a single-occupant intelligent inhabited environment is addressed It is aimed to deliver a well-being monitoring and assistive environment to support elderly to live independently. A wireless sensor network of motion detection sensors is constructed to collect the required occupancy data. Individual sensory data are combined to form an occupancy time series. Then, a fuzzy predictor model is proposed to model the occupancy time series and the results of this technique are compared with other techniques in time series prediction including auto regressive moving average, adaptive network based fuzzy inference system, as well as transductive neuro-fuzzy inference model with weighted data normalization.