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Towards NLG for Physiological Data Monitoring with Body Area Networks
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems)ORCID iD: 0000-0002-9607-9504
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems)
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems)ORCID iD: 0000-0002-3122-693X
2013 (English)In: 14th European Workshop on Natural Language Generation, 2013, p. 193-197Conference paper, Published paper (Refereed)
Abstract [en]

This position paper presents an on-goingwork on a natural language generationframework that is particularly tailored fornatural language generation from bodyarea networks. We present an overview ofthe main challenges when considering thistype of sensor devices used for at homemonitoring of health parameters. The paperpresents the first steps towards the implementationof a system which collectsinformation from heart rate and respirationusing a wearable sensor.

Place, publisher, year, edition, pages
2013. p. 193-197
Keywords [en]
NLG, Physiological Data, Body Area Networks
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-30257OAI: oai:DiVA.org:oru-30257DiVA, id: diva2:641704
Conference
14th European Workshop on Natural Language Generation, Sofia, Bulgaria, August 8-9, 2013
Projects
SAAPHORemoteAvailable from: 2013-08-19 Created: 2013-08-19 Last updated: 2018-03-09Bibliographically approved

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Banaee, HadiAhmed, Mobyen UddinLoutfi, Amy

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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
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf