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Authors: Alencar Machado 1 ; Daniel Lichtnow 2 ; Ana Marilza Pernas 3 ; Leandro Krug Wives 4 and José Palazzo Moreira de Oliveira 4

Affiliations: 1 Universidade Federal do Rio Grande do Sul (UFRGS) and Universidade Federal de Santa Maria (UFSM), Brazil ; 2 Universidade Federal de Santa Maria (UFSM), Brazil ; 3 Universidade Federal de Pelotas (UFPEL), Brazil ; 4 Universidade Federal do Rio Grande do Sul (UFRGS), Brazil

Keyword(s): Proactive, Reactive, Situation, Context, Event, Ambient Intelligence.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Data Communication Networking ; Enterprise Information Systems ; Internet of Things ; Semantic Web Technologies ; Sensor Networks ; Services Science ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications ; Ubiquitous Computing

Abstract: Ambient Intelligence provides technology support and assistance to help people in their daily wellbeing. Equipped with ubiquitous technologies, Ambient Intelligence uses sensors to monitor the environment and to collect data continuously providing systems with updated information. Ideally, these computer-supported environments must detect relevant events to forecast future situations and to act proactively to mitigate or eliminate undesired situations while regarding user’s specific needs. To build a system with reactive and proactive characteristics in Ambient Intelligence, it is important to allow it to be extensible, predictive and to incorporate decision-making capabilities. In this sense, the objective of this work is to propose an approach for providing reactive and proactive behavior in Ambient Intelligence systems. More specifically, we want to provide Situation as a Service in Ambient Assisted Living. In the present work, we illustrate practical aspects of the system’s archi tecture by describing a home-care scenario in which the system is able to understand the behavior of the user, as the time goes by, and detect relevant (dangerous) situations in order to act reactively and proactively and help users manage their health condition. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Machado, A. ; Lichtnow, D. ; Marilza Pernas, A. ; Krug Wives, L. and Palazzo Moreira de Oliveira, J. (2014). A Reactive and Proactive Approach for Ambient Intelligence. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-028-4; ISSN 2184-4992, SciTePress, pages 501-512. DOI: 10.5220/0004884205010512

@conference{iceis14,
author={Alencar Machado and Daniel Lichtnow and Ana {Marilza Pernas} and Leandro {Krug Wives} and José {Palazzo Moreira de Oliveira}},
title={A Reactive and Proactive Approach for Ambient Intelligence},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2014},
pages={501-512},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004884205010512},
isbn={978-989-758-028-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Reactive and Proactive Approach for Ambient Intelligence
SN - 978-989-758-028-4
IS - 2184-4992
AU - Machado, A.
AU - Lichtnow, D.
AU - Marilza Pernas, A.
AU - Krug Wives, L.
AU - Palazzo Moreira de Oliveira, J.
PY - 2014
SP - 501
EP - 512
DO - 10.5220/0004884205010512
PB - SciTePress

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