Abstract
Smart environments are spaces that interact with users taking into account their needs and preferences. Systems that manage these environments need to manipulate the context for interacting in a suitable way with users. One big challenge for creating a smart environment is to deal with context dynamicity. Ideally, these computer-supported environments must detect relevant events to forecast future situations and to act proactively to mitigate or eliminate situations related to specific user’s needs. This paper proposes a framework for providing extensible, reactive and proactive behavior in Smart Environment systems. The focus of the present work is related to a specific class of Smart Environments: an Ambient Assisted Living. In this sense we define a framework and illustrate practical aspects of the use of framework by describing a home-care scenario in which the system observes the behavior of the user, as the time goes by, and detects relevant situations and acts reactively and proactively for preserving user health condition.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Sadri, F.: Ambient intelligence: a survey. ACM Comput. 43(4), 1–66 (2011)
Jara, A.J., Zamora, M.A., Skarmeta, A.F.G.: An internet of things based personal device for diabetes therapy management in ambient assisted living (AAL). Pers. Ubiquit. Comput. 15(4), 431–440 (2011)
Chan, M., Esteve, D., Escriba, C., Campo, E.: A review of smart homes—present state and future challenges. Comp. Comput. Methods Programs Biomed. 91(1), 55–81 (2008)
Augusto, J.C., Nakashima, H., Aghajan, H.: Ambient intelligence and smart environments: a state of the art. In: Handbook of Ambient Intelligence and Smart Environments: Part 1. Springer, New York, pp. 3–31 (2009)
Ye, J., Dobson, S., McKeever, S.: Situation identification techniques in pervasive computing: a review. Pervasive Mobile Comput. 8(1), 36–66 (2011)
Dey, A., Abowd, G.: The context toolkit: aiding the development of context-enabled applications. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh, Pennsylvania, US, pp. 434–441 (1999)
Ye, J., Stevenson, G., Dobson, S.: A top-level ontology for smart environments. Pervasive Mobile Comput. 7(3), 359–378 (2011)
Kokar, M.M., Matheus, C.J., Baclawski, K.: Ontology-based situation awareness. J. Inf. Fusion 10(1), 83–98 (2009)
Etzion, O., Niblett, P.: Event Processing in Action. Manning Publications Co, Stamford (2010)
Sixsmith, A., Meuller, S., Lull, F., Klein, M., Bierhoff, I., Delaney, S., Savage, R.: SOPRANO – an ambient assisted living system for supporting older people at home. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds.) ICOST 2009. LNCS, vol. 5597, pp. 233–236. Springer, Heidelberg (2009)
Tazari, M.R., Furfari, F., Lazaro, R.J.P., Ferro, E.: The persona service platform for AAL spaces. In: Nakashima, H., et al. (eds.) Handbook of Ambient Intelligence and Smart Environments, pp. 1171–1199. Springer, Heidelberg (2010)
Paganelli, F., Giuli, D.: An ontology-based system for context-aware and configurable services to support home-based continuous care. IEEE Trans. Inf Technol. Biomed. 15(2), 324–333 (2011)
Tennenhouse, D.L.: Proactive computing. Commun. ACM 43(5), 43–50 (2000)
Want, R., Pering, T., Tennenhouse, D.L.: Comparing autonomic and proactive computing. IBM Syst. J. (IBMSJ) 42(1), 129–135 (2003)
Engel, Y., Etzion, O.: Towards proactive event-driven computing. In: Proceedings of the 5th ACM International Conference on Distributed Event-based System, pp. 125–136 (2011)
Fu, S., Xu, C.: Quantifying event correlations for proactive failure management. Networked Comput. Syst. J. Parallel Distrib. Comput. 70(11), 1100–1109 (2010)
Boytsov, A., Zaslavsky, A.: Context prediction in pervasive computing systems: achievements and challenges. In: Supporting Real Time Decision Making, ser. Annals of Information Systems, Springer, vol. 13, pp. 35–63 (2011)
Nazerfard, E., Cook, D.J.: Bayesian networks structure learning for activity prediction in smart homes. In: 8th International Conference Onintelligent Environments (IE), pp. 50–56 (2012)
Lotfi, A., Langensiepen, C., Mahmoud, S.M., Akhlaghinia, M.J.: Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behavior. J. Ambient Intell. Humanized Comput. 3(3), 205–218 (2012)
Machado, A., Pernas, A.M., Augustin, I., Thom, L.H., Krug, L., Palazzo, M., de Oliveira: Situation-awareness as a key for proactive actions in ambient assisted living. In: Proceedings of the 15th International Conference on Enterprise Information, pp. 418–426 (2013)
Salfner, F., Lenk, M., Malek, M.: A survey of online failure prediction methods. ACM Comput. Surv. 42(3), 10–42 (2010)
Mccarthy, J.: Actions and other events in situation calculus. In: Proceedings of the 8th International Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufmann Publishers, Toulouse, pp. 615–628 (2002)
Esper: Complex Event Processing. Espertech event stream intelligence (2010)
Netica (2013). https://www.norsys.com/netica.html
Friedman-Hill, E.: Jess in Action: Java Rule-based Systems. Manning Publications Company, Greenwich (2003)
Wasserkrug, S., Gal, A., Etzion, O.: A model for reasoning with uncertain rules in event composition systems. In: Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence, pp. 599–606 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Machado, A. et al. (2015). A Framework Reactive and Proactive for Pervasive Homecare Environments. In: Cordeiro, J., Hammoudi, S., Maciaszek, L., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2014. Lecture Notes in Business Information Processing, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-22348-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-22348-3_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22347-6
Online ISBN: 978-3-319-22348-3
eBook Packages: Computer ScienceComputer Science (R0)