Qualitative Tracking of Objects in a Smart Home: A Passive RFID Approach Based on Decision Trees

Abstract

This paper presents a novel Indoor Tracking System (ITS) based on passive radio-frequency identification (RFID) technology. The new ITS exploits decision trees built from one dataset per room of a smart home. The datasets are built using a bottle equipped with four class 3 RFID tags and by dividing each room into qualitative zones. The paper discusses how to exploit positioning from decision trees to implement real-time tracking. The long term goal of this ITS is to extract qualitative spatial information to improve recognition of daily living activities' granularity. The results obtained are very encouraging as the average accuracy of the trajectories recognized is over 75%.