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ACube - Ambient Aware Assistance - a monitoring system for the support of sheltered residences
Record number: 508
Last update: September 2022
Type of document: Projects
Last update: September 2022
Type of document: Projects
Funding body: Provincia Autonoma di Trento
Partners: Fondazione Bruno Kessler, Trento (capofila), CREATE_NET (Center for research and telecom communication experimentation for networked communities), Trento, Fondazione Don Carlo Gnocchi Onlus, Milano, Università degli Studi di Trento, Trento
Year of publication: 2008
Project start date: 01/10/2008
Project end date: 30/09/2012
Project state: Ended
F.d.G. Team: Renzo Andrich (responsabile), Valerio Gower, Marco di Rienzo, Paolo Castiglioni, Paolo Meriggi, Lucia Pigini
Abstract:
Multicentric study funded by the Autonomous Province of Trento under the Call for Major Projects 2006. The project aims at developing an advanced integrated infrastructure for intelligent monitoring in nursing homes, and will validate it in two real-world scenarios. The system will encompass sophisticated features targeted to support health care professionals, and will have a major impact on both the users’ quality of life and the caregivers’ working conditions. To this end, the project will tackle a number of technological and research challenges: algorithms for intelligent sensing, based on the integration of visual, acoustic and environmental sensing; a middleware to support the seamless integration of data streams from sensors; an intelligent architecture, featuring configurability, learning abilities and robustness (in terms of self-diagnostics and repair); model-based reasoning techniques to provide representation of the domain status, monitor the execution of activities in the environment and deliberate the most appropriate reactions.
Multicentric study funded by the Autonomous Province of Trento under the Call for Major Projects 2006. The project aims at developing an advanced integrated infrastructure for intelligent monitoring in nursing homes, and will validate it in two real-world scenarios. The system will encompass sophisticated features targeted to support health care professionals, and will have a major impact on both the users’ quality of life and the caregivers’ working conditions. To this end, the project will tackle a number of technological and research challenges: algorithms for intelligent sensing, based on the integration of visual, acoustic and environmental sensing; a middleware to support the seamless integration of data streams from sensors; an intelligent architecture, featuring configurability, learning abilities and robustness (in terms of self-diagnostics and repair); model-based reasoning techniques to provide representation of the domain status, monitor the execution of activities in the environment and deliberate the most appropriate reactions.
