A Novel Integrated Architecture for Ambient Assisted Living SystemsShow others and affiliations
2017 (English)In: The 41st IEEE Computer Society International Conference on Computers, Software & Applications COMPSAC 2017, 2017, Vol. 1, p. 465-472, article id 8029645Conference paper, Published paper (Refereed)
Abstract [en]
The increase in life expectancy and the slumping birth rates across the world result in lengthening the average age of the society. This change in demography has many consequences, the major being the insufficient number of caregivers. Therefore, we are in need of techniques that will assist the elderly in their daily life, while preventing their social isolation. The recent developments in Ambient Intelligence (AmI) and Information and Communication Technologies (ICT) have facilitated a technological revolution in the field of Ambient Assisted Living (AAL). At present, there are many technologies on the market that support the independent life of older adults, requiring less assistance from family and caregivers, yet most of them offer isolated services, such as health monitoring, supervised exercises, reminders etc. There are only very few architectures that support the seamless integration of various functionalities and none of them incorporates user preferences or are formally analyzed for their functionality and quality-of-service attributes which is needed in order to ensure safe mitigations of potential critical scenarios. In this paper, we propose a novel architectural solution that seamlessly integrates necessary functions of an AAL system, based on user preferences. To enable a first level of the architecture's analysis, we model our system in Architecture Analysis and Design Language (AADL), and carry out its simulation for analyzing the end-to-end data-flow latency, resource budgets and system safety.
Place, publisher, year, edition, pages
2017. Vol. 1, p. 465-472, article id 8029645
Keyword [en]
Ambient Intelligence, Ambient Assisted Living, Architecture Analysis and Design Language.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35500DOI: 10.1109/COMPSAC.2017.28ISI: 000424861400061Scopus ID: 2-s2.0-85031918944OAI: oai:DiVA.org:mdh-35500DiVA, id: diva2:1107564
Conference
The 41st IEEE Computer Society International Conference on Computers, Software & Applications COMPSAC 2017, 04 Jul 2017, Turin, Italy
Projects
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)
2017-06-092017-06-092018-03-08Bibliographically approved