Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Enabling location-aware pervasive computing applications for the edlerly
AU - Helal, Sumi
AU - Winkler, B.
AU - Lee, C.
AU - Kaddoura, Y.
AU - Ran, L.
AU - Giraldo, C.
AU - Kuchibhotla, S.
AU - Mann, W.
AU - (CSE@UTA), IEEE Computer Society; Comput. Sci. Eng. Univ. Texas Arlington
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
KW - Context-awareness
KW - Elder care
KW - Indoor location tracking
KW - OSGi
KW - Pervasive computing
KW - Smart home
KW - Successful aging
KW - Ultrasonic technology
KW - Context- awareness
KW - Indoor locations
KW - Smart homes
KW - Health care
KW - Health insurance
KW - Houses
KW - Navigation
KW - Technology
KW - Tracking (position)
KW - Ultrasonics
KW - Ubiquitous computing
U2 - 10.1109/PERCOM.2003.1192785
DO - 10.1109/PERCOM.2003.1192785
M3 - Conference contribution/Paper
SN - 0769518931
SP - 531
EP - 536
BT - 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003
PB - IEEE
ER -