Passive RFID Localisation Framework in Smart Homes Healthcare Settings

Area of Science:

• Smart Home Technology
• Healthcare Informatics
• Ubiquitous Computing

Background:

• Smart Homes offer solutions for elderly and impaired individuals' daily living.
• Pervasive technologies enable personal monitoring in healthcare via indoor positioning.
• Existing systems often use costly active RFID tags or less acceptable wearable sensors.

Purpose of the Study:

• To present a novel localization framework for smart home healthcare applications.
• To develop a low-cost subject localization system using passive RFID sensors.
• To address limitations of existing monitoring technologies in terms of cost and human acceptance.

Main Methods:

• Development of a localization framework utilizing passive Radio-Frequency Identification (RFID) sensors.
• Implementation of a non-invasive tracking system for activities of daily living.
• Focus on affordability and human acceptance as key design considerations.

Main Results:

• A functional localization framework using passive RFID sensors was designed.
• The proposed system offers a potentially lower-cost alternative to active RFID and wearable sensors.
• The framework is suitable for non-invasive subject tracking in smart home healthcare settings.

Conclusions:

• Passive RFID sensors provide a viable and cost-effective solution for subject localization in smart home healthcare.
• The developed framework enhances the practicality of pervasive monitoring for the elderly and impaired.
• Future work should focus on further validating human acceptance and system robustness.