Abstract
Demographical and social changes have an enormous effect on health care, emergency and welfare services. Indeed, as the average age continues to rise, it is set the mood to an exponential growth in assistance and care, resulting in higher service costs, a decrease in quality of service, or even both. On the other hand, as part of the evolution of traditional Virtual Reality Environments (or Intelligent Mixed Reality), a striving expression for Ambient Intelligence (AmI) it is possible to outline the role of AmI in healthcare, by focusing on its technological, logical (relational) and common sense nature. Our goal is to have in place an electronically-based monitoring system. This would reduce response time to adverse events, improve analytics and reporting, and will provide caregivers with the information they need to positively impact the care of individual patients.
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References
Giráldez, M., Casal, C.: The Role of Ambient Intelligent in the Social Integration of the Elderly. IOS Press, Amsterdam (2005)
Marreiros, G., Novais, P., Machado, J., Ramos, C., Neves, J.: An Agent-based Approach to Group Decision Simulation using Argumentation. In: ABC 2006. International MultiConference on Computer Science and Information Tecnology, Workshop Agent-Based Computing III, Wisla, Poland, pp. 225–232 (2006)
Augusto, J.C., McCullah, P., McClelland, V., Walden, J.-A.: Enhanced Healthcare Provision Through Assisted Decision-Making in a Smart Home Environment. In: 2nd Workshop on Artificial Inteligence Techniques for Ambient Inteligence (2007)
Dosi, G.: Sources, procedures and microeconomics effects of innovation. Economic Literature 26, 1120–1171 (1998)
Malmberg, A.: Industrial Geography: agglomeration and local milieu. Progress in Human Geography 20, 392–403 (1996)
Neves, J.: A Logic Interpreter to Handle Time and Negation in Logic Data Bases. In: The Fifth Generation Challenge, pp. 50–54. ACM Press, New York (1984)
Riva, G.: Ambient Intelligence in Health Care. CYBERPSYCHOLOGY & BEHAVIOR 6 (2003)
Marreiros, G., Santos, R., Ramos, C., Neves, J., Novais, P., Machado, J., Bulas-Cruz, J.: Ambient Intelligence in Emotion Based Ubiquitous Decision Making. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2007) - 2nd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI 2007) (2007)
Neves, J., Machado, J., Analide, C., Abelha, A., Brito, L.: The Halt Condition in Genetic Programming. In: Proceedings of EPIA 2007. LNCS (LNAI), Springer, Heidelberg (to appear, 2007)
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Costa, R., Neves, J., Novais, P., Machado, J., Lima, L., Alberto, C. (2007). Intelligent Mixed Reality for the Creation of Ambient Assisted Living. In: Neves, J., Santos, M.F., Machado, J.M. (eds) Progress in Artificial Intelligence. EPIA 2007. Lecture Notes in Computer Science(), vol 4874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77002-2_27
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DOI: https://doi.org/10.1007/978-3-540-77002-2_27
Publisher Name: Springer, Berlin, Heidelberg
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