RFID based location identification for smart homes for aged care

Abstract

Smart homes for aged care allow residents to stay in their own homes longer without having to move to assisted living facilities such as nursing homes. The aim of smart homes for aged care is to provide ambient assisted living using technologies that provide systems of monitoring of medical conditions, monitoring of activities of daily living, provide alerts, warnings, and reminders. Sensors of various forms and wearables are necessary to achieve the functionality of a smart home for aged care. It is also well known that decision systems that combine decisions of multiple sensor technologies improve the accuracy of decisions. The location identification is one of the key decision-making systems that can be combined with other sensor platforms for improving accuracy. This thesis looks at location identification systems based on RFID technology. RFID systems typically use received signal strength and trilateration techniques to determine the location of an object. The accuracy of location of such systems is not precise and may vary depending on the measurement location. The goal of this work is to examine if phase angle information can be combined with received signal strength data to improve location identification in RFID-based systems.

Date of Award	2017
Original language	English