Passive RFID Localisation Framework in Smart Homes Healthcare Settings

Belal Alsinglawi, Tony Liu, Quang Nguyen, Upul Gunawardana, Anthony Maeder, Simeon Simoff

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

Abstract

In recent years, Smart Homes have become a solution to benefit impaired individuals and elderly in their daily life settings. In healthcare applications, pervasive technologies have enabled the practicality of personal monitoring using Indoor positioning technologies. Radio-Frequency Identification (RFID) is a promising technology, which is useful for non-invasive tracking of activities of daily living. Many implementations have focused on using batteryenabled tags like in RFID active tags, which require frequent maintenance and they are costly. Other systems can use wearable sensors requiring individuals to wear tags which may be inappropriate for elders. Successful implementations of a tracking system are dependent on multiple considerations beyond the physical performance of the solution, such as affordability and human acceptance. This paper presents a localisation framework using passive RFID sensors. It aims to provide a low cost solution for subject location in Smart Homes healthcare.

Original languageEnglish
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 1 Jan 2016
Event5th Global Telehealth Conference, Global Telehealth 2016 -
Duration: 1 Nov 2016 → …

Conference

Conference5th Global Telehealth Conference, Global Telehealth 2016
Period1/11/16 → …

Keywords

  • Healthcare
  • Localisation
  • Personal monitoring
  • RFID
  • Smart homes

Fingerprint Dive into the research topics of 'Passive RFID Localisation Framework in Smart Homes Healthcare Settings'. Together they form a unique fingerprint.

Cite this