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Towards NLG for Physiological Data Monitoringwith 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, 193-197 p.Conference 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. 193-197 p.
Keyword [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: diva2:641704
Conference
14th European Workshop on Natural Language Generation, Sofia, Bulgaria, August 8-9, 2013
Projects
SAAPHORemote
Available from: 2013-08-19 Created: 2013-08-19 Last updated: 2017-10-18

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fulltext(1078 kB)140 downloads
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Banaee, HadiAhmed, Mobyen UddinLoutfi, Amy

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
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  • en-US
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  • Other locale
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Output format
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