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Robust tracking of periodic motion in the plane using inertial sensor data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0002-6916-4148
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-8185-3117
2017 (English)In: Proceedings of IEEE Sensors 2017, Glasgow, Scotland, 2017Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Glasgow, Scotland, 2017.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-334069OAI: oai:DiVA.org:uu-334069DiVA, id: diva2:1158632
Conference
IEEE Sensors 2017, 29 Oct - 01 Nov 2017, Glasgow, United Kingdom
Funder
Swedish Research Council, 2015-05054
Available from: 2017-11-20 Created: 2017-11-20 Last updated: 2017-11-24Bibliographically approved

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fulltext(307 kB)24 downloads
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Halvorsen, KjartanOlsson, Fredrik
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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