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Personalisation of intelligent homecare services adapted to children with motor impairments
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
Universidad de Alcalá, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2419-2735
2014 (English)In: Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services: 8th International Conference, UCAmI 2014, Belfast, UK, December 2-5, 2014. Proceedings, 2014, 476-479 p.Conference paper, Published paper (Refereed)
Abstract [en]

Ambient Intelligence could support innovative application domains like motor impairments´ detection at the home environment. This research aims to prevent neurodevelopmental disorders through the natural interaction of the children with embedded intelligence daily life objects, like home furniture and toys. Designed system uses an interoperable platform to provide two intelligent interrelated home healthcare services: monitoring of children´s abilities and completion of early stimulation activities. A set of sensors, which are embedded within the rooms, toys and furniture, allows private data gathering about the child´s interaction with the environment. This information feeds a reasoning subsystem, which encloses an ontology of neurodevelopment items, and adapts the service to the age and acquisition of expected abilities. Next, the platform proposes customized stimulation services by taking advantage of the existing facilities at the child´s environment. The result integrates Embedded Sensor Systems for Health at Mälardalen University with UPM Smart Home, for adapted services delivery.

Place, publisher, year, edition, pages
2014. 476-479 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8867
Keyword [en]
Adapted services, Children, Disabilities, Home embedded sensors, Artificial intelligence, Automation, Chemical sensors, Embedded systems, Intelligent buildings, Ubiquitous computing, Ambient intelligence, Embedded intelligence, Embedded sensors, Home-care services, Natural interactions, Interoperability
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-27474DOI: 10.1007/978-3-319-13102-3_76Scopus ID: 2-s2.0-84921647340ISBN: 9783319131016 (print)OAI: oai:DiVA.org:mdh-27474DiVA: diva2:786703
Conference
8th International Conference, UCAmI 2014, Belfast, UK, December 2-5, 2014
Available from: 2015-02-06 Created: 2015-02-06 Last updated: 2015-02-06Bibliographically approved

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Valero, Miguel ÁngelLindén, MariaBjörkman, Mats
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
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Output format
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