IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Assessment of Reference Architectures and Reference Models for Ambient Assisted Living Systems: Results of a Systematic Literature Review

Assessment of Reference Architectures and Reference Models for Ambient Assisted Living Systems: Results of a Systematic Literature Review
View Sample PDF
Author(s): Lina Garcés (Department of Computer Systems, University of São Paulo, São Carlos, Brazil), Flavio Oquendo (IRISA - University of South Brittany, Vannes, France)and Elisa Yumi Nakagawa (Department of Computer Systems, University of São Paulo, São Carlos, Brazil)
Copyright: 2020
Volume: 11
Issue: 1
Pages: 20
Source title: International Journal of E-Health and Medical Communications (IJEHMC)
Editor(s)-in-Chief: Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/IJEHMC.2020010102

Purchase


Abstract

The innovation and development of software systems in the Ambient Assisted Living (AAL) domain have brought huge challenges for academia and software industry as well. Despite the existence of architectural models that can be used as references to build AAL systems, their selection for new AAL projects is a difficult task. In this work, the authors present the state of the art on Reference Architectures (RA) and Reference Models (RM) found through the conduction of a systematic literature review. The authors identified, analyzed, and assessed 24 existing RA&RM for AAL domain, and, as result, the authors spotted interesting research directions that should be further explored to improve existing and future RA&RM and software systems for that domain.

Related Content

Marlon Luca Machal. © 2024. 16 pages.
Dantong Li, Guixin Li, Shuang Li, Ashley Bang. © 2024. 12 pages.
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra. © 2024. 21 pages.
Bin Hu, Gregory T. MacLennan. © 2024. 11 pages.
Neetu Singh, Upkar Varshney. © 2024. 17 pages.
Long Liu, Zhankui Zhai, Weihua Zhu. © 2024. 10 pages.
Lucy M. Lu, Richard S. Segall. © 2024. 18 pages.
Body Bottom