Accurate Location Tracking Based on Active RFID for Health and Safety Monitoring

Abstract

RFID-tracking of indoor objects has been a subject of continuous interest in health and safety monitoring. In this paper, we propose a new location tracking algorithm that aims to improve localization accuracy of existing methods. The proposed method divides a sensing area into several communities, each of which consists of a number of neighboring reference tags, e.g. four. Rather than trying to track objects based on each individual reference tag, our approach estimates the coordinates of tracking objects by looking for the community that the object has the highest probability to be enclosed within. The experimental results indicate that our location tracking algorithm provides much improved tracking accuracy while retaining fast computation speed for real-time tracking. Moreover, the proposed tracking system, which provides fast installation with simple manipulation, is promising in healthcare and medical monitoring applications.