In this paper we propose the demonstration of an Independent Living system that exploits an approach based on situation awareness and ambient intelligence in order to improve the quality of life of users that want to live independently. This approach aims at extending "awareness" bringing to bear new ambient data and opening the possibility of "reasoning" on complex sequences of events in relation to the context they occur in, i.e. particular situations such as falls. Contexta-CARE, the situation-aware independent-living system we implemented in order to validate the approach, enables close monitoring of a person as well as of the environment where the person lives. Contexta-CARE has the ability to both highlight, preventively, situations that might evolve into potentially dangerous events, and to promptly signal critical events, like falls. The demonstration will highlight all the details of the particular approach we are proposing.
[1]
Paul Browne,et al.
JBoss Drools Business Rules
,
2009
.
[2]
Alessandra Mileo,et al.
Support for Context-aware Monitoring in Home Healthcare
,
2009,
Intelligent Environments.
[3]
Ian F. Akyildiz,et al.
Sensor Networks
,
2002,
Encyclopedia of GIS.
[4]
Alessandra Mileo,et al.
A Logical Approach to Home Healthcare with Intelligent Sensor-Network Support
,
2010,
Comput. J..
[5]
Mark Weiser,et al.
The computer for the 21st Century
,
1991,
IEEE Pervasive Computing.
[6]
Charles L. Forgy,et al.
Rete: a fast algorithm for the many pattern/many object pattern match problem
,
1991
.
[7]
Roberto Bisiani,et al.
Localization with Ambient Sensors
,
2011
.
[8]
James H. Aylor,et al.
Computer for the 21st Century
,
1999,
Computer.