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Demo abstract - Skitracker: Measuring skiing performance using a body-area network
RISE, Swedish ICT, SICS.
RISE, Swedish ICT, SICS.
Uppsala University, Sweden.
2013 (English)In: IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013, 2013, p. 319-320Conference paper, Published paper (Refereed)
Abstract [en]

We have developed a framework for capturing various performance related sensor data from elite-level cross-country skiers and feeding this information to a set of bespoke analysis tools. The core of the system involve tri-axle accelerometers for skier's upper body movement and an analysis tool which allow us to classify which technique they are using, and how well it is being performed. Other sensor data, such as physiological and positioning information, is used to provide context to the classification. The project is run in conjunction with our national cross-country skiing team, who are currently providing us with sample data from their international-level skiers.

Place, publisher, year, edition, pages
2013. p. 319-320
Keywords [en]
Body sensor networks, Cross country skiing, Data fusion, Analysis tools, Bodyarea networks (BAN), Positioning information, Sample data, Sensor data, Upper bodies
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-48719DOI: 10.1145/2461381.2461427Scopus ID: 2-s2.0-84876745556ISBN: 9781450319591 (print)OAI: oai:DiVA.org:ri-48719DiVA, id: diva2:1468095
Conference
12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013; Philadelphia, PA; United States; 8 April 2013 through 11 April 2013
Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2020-12-01Bibliographically approved

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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf