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Towards NLG for Physiological Data Monitoring with Body Area Networks
Örebro University, Sweden.
Örebro University, Sweden.ORCID iD: 0000-0003-3802-4721
Örebro University, Sweden.
2013 (English)In: 14th European Workshop on Natural Language Generation ENLG, London, United Kingdom, 2013Conference paper, Published paper (Refereed)
Abstract [en]

This position paper presents an on-going work on a natural language generation framework that is particularly tailored for summary text generation from body area networks. We present an overview of the main challenges when considering this type of sensor devices used for at home monitoring of health parameters. This pa- per describes the first steps towards the im- plementation of a system which collects information from heart rate and respira- tion rate using a wearable sensor. The pa- per further outlines the direction for future work and in particular the challenges for NLG in this application domain

Place, publisher, year, edition, pages
London, United Kingdom, 2013.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-26807ISBN: 978-1-937284-56-5 (print)OAI: oai:DiVA.org:mdh-26807DiVA: diva2:768016
Conference
14th European Workshop on Natural Language Generation ENLG, 08 Oct 2013, London, United Kingdom
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2017-01-25Bibliographically approved

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Ahmed, Mobyen Uddin
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
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