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Estimating Contextual Situations using Indicators from Smartphone Sensor Values
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.ORCID iD: 0000-0002-1342-0966
2014 (English)In: Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014, 2014, 243-250 p., 7059668Conference paper, Published paper (Refereed)
Abstract [en]

Current context-aware applications often use thelocation of a user as the only indication of the current situation.These existing applications are therefore limited in their situationawareness, because of the poor indoor resolution of the locationsensor and its high resource consumption. In response to theselimitations we present an approach to estimate the contextualsituation of a user without using resource inefficient locationsensors. Our proposed solution utilizes a wide range of lowpowered sensors, together with two modified machine learningtechniques to estimate the situation in a more resource efficientmanner. Simulations and a proof-of-concept application show thatthe situation of a user can be determined within 50 ms at anaccuracy above 90%, when only using the low energy sensorsavailable on a smartphone and its limited processing power.

Place, publisher, year, edition, pages
2014. 243-250 p., 7059668
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-22582DOI: 10.1109/iThings.2014.43ISI: 000380548400034Scopus ID: 2-s2.0-84946690533Local ID: STCOAI: oai:DiVA.org:miun-22582DiVA: diva2:738574
Conference
2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014; Taipei; Taiwan; 1 September 2014 through 3 September 2014; Category numberE5288; Code 111576
Available from: 2014-08-18 Created: 2014-08-18 Last updated: 2017-03-06Bibliographically approved
In thesis
1. Enabling fully distributed global services on the Internet-of Things
Open this publication in new window or tab >>Enabling fully distributed global services on the Internet-of Things
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2014. 63 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 208
National Category
Computer Systems Information Systems, Social aspects Communication Studies
Identifiers
urn:nbn:se:miun:diva-24027 (URN)STC (Local ID)978-91-87557-93-4 (ISBN)STC (Archive number)STC (OAI)
Public defence
2014-11-27, 10:00
Available from: 2015-01-02 Created: 2015-01-02 Last updated: 2017-03-06Bibliographically approved

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Forsström, StefanKardeby, Victor
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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
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  • text
  • asciidoc
  • rtf