mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analyzing Ambient Assisted Living Solutions: A Research Perspective
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
INRIA, Rennes, France.
Univ. Limerick and Lero, Limerick, Ireland.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2870-2680
Show others and affiliations
2017 (English)In: 12th International Conference on Design and Technology of Integrated Systems in Nanoscale Era DTIS 2017, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Typical AAL solutions rely on integrating capabilities for health monitoring, fall detection, communication and social inclusion, supervised physical exercises, vocal interfaces, robotic platforms etc. Ensuring the safe function and quality of service with respect to various extra-functional requirements like timing and security of such AAL solutions is of highest importance. To facilitate analysis, latest system development platforms provide underlying infrastructures for model-driven design (e.g., via the dime{} tool), timing and resource-usage specification (e.g., via the REMES tool), security features (e.g., by employing SECube), and statistical model-checking techniques (e.g, via Plasma). In this paper, we discuss the challenges associated with analyzing complex AAL solutions, from relevant properties to semantic interoperability issues raised by employing various frameworks for modeling and analysis, and applicability to evolving architectures. We take as examples two of the prominent existing AAL architectures and our own prior experience.

Place, publisher, year, edition, pages
2017.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35492DOI: 10.1109/DTIS.2017.7930168ISI: 000403402000019ISBN: 978-1-5090-6377-2 (electronic)OAI: oai:DiVA.org:mdh-35492DiVA: diva2:1108050
Conference
12th International Conference on Design and Technology of Integrated Systems in Nanoscale Era DTIS 2017, 4-6 Apr 2017, Palma de Mallorca, Spain
Projects
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)
Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2017-07-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Kunnappilly, Ashalatha

Search in DiVA

By author/editor
Kunnappilly, AshalathaSeceleanu, Cristina
By organisation
Embedded Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 10 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf