Enabling location-aware pervasive computing applications for the edlerly

Helal, Sumi and Winkler, B. and Lee, C. and Kaddoura, Y. and Ran, L. and Giraldo, C. and Kuchibhotla, S. and Mann, W. and (CSE@UTA), IEEE Computer Society; Comput. Sci. Eng. Univ. Texas Arlington (2003) Enabling location-aware pervasive computing applications for the edlerly. In: 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003. IEEE, pp. 531-536. ISBN 0769518931

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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 rational 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. © 2003 IEEE.

Item Type: Contribution in Book/Report/Proceedings
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 90030
Deposited By: ep_importer_pure
Deposited On: 26 Jan 2018 10:02
Refereed?: Yes
Published?: Published
Last Modified: 22 Jun 2019 00:47
URI: https://eprints.lancs.ac.uk/id/eprint/90030

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