Enabling location-aware pervasive computing applications for the elderly
- 24 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The Pervasive Computing Laboratory at the University of Florida is dedicated to creating smart environments and assistants to enable elderly persons to live a longer and a more independent life at home. By achieving this goal, technology will increase the chances of successful aging despite an ailing health care system (e.g. Medicaid). One of the essential services required to maximize the intelligence of a smart environment is an indoor precision tracking system. Such system allows the smart home to make proactive decisions to better serve its occupants by enabling context-awareness instead of being solely reactive to their commands. This paper presents our hands-on experience and lessons learnt from our first phase work to build up a smart home infrastructure for the elderly. We review location tracking technology and describe the rationale behind our choice of the emerging ultrasonic sensor technology. We give an overview of the House of Matilda (an in-laboratory mock up house) and describe our design of a precision in-door tracking system. We also describe an OSGi-based robust framework that abstracts the ultrasonic technology into a standard service to enable the creation of tracking based applications by third party, and to facilitate the collaboration among various devices and other OSGi services. Finally, we describe three pervasive computing applications that use the location-tracking system which we have implemented in Matilda's house.Keywords
This publication has 3 references indexed in Scilit:
- Drishti: an integrated navigation system for visually impaired and disabledPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- RADAR: an in-building RF-based user location and tracking systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Location systems for ubiquitous computingComputer, 2001