Demo abstract -- Skitracker: measuring skiing performance using a body-area network

  • Authors:
  • Thomas Homewood;Christer Norström;Per Gunningberg

  • Affiliations:
  • Swedish Institute of Computer Science, Kista, Sweden;Swedish Institute of Computer Science, Kista, Sweden;Uppsala University, Uppsala, Sweden

  • Venue:
  • Proceedings of the 12th international conference on Information processing in sensor networks
  • Year:
  • 2013

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Abstract

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.