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Usage and validation of a tracking system to monitor position and velocity during cross-country skiing
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences. Royal Inst Technol, Dept Mech, Stockholm.
Salzburg Univ, Dept Sport Sci & Kinesiol, Salzburg, Austria; Salzburg Univ, Dept Sport Sci & Kinesiol, A-5400 Hallein Rif, Austria.
Univ Lubljana, Fac Sport, Ljubljana, Slovenia; Univ Ljubljana, Fac Sports, Dept Biomech, Ljubljana 1000, Slovenia.
Royal Inst Technol, Dept Mech, Stockholm.
2016 (English)In: International Journal of Performance Analysis in Sport, ISSN 1474-8185, E-ISSN 1474-8185, Vol. 16, no 2, 769-785 p.Article in journal (Refereed) Published
Abstract [en]

For the first time, we investigate here the possibility of using a real-time locating system (RTLS) to track cross-country skiers during a competition. For validation, three RTLS tags were attached to the antenna of a real-time kinematics global navigation satellite system (RTK GNSS) carried by a skier, skiing the course at three different intensities. In addition, RTLS data were collected from 70 racers during a FIS cross-country skiing sprint race. Spline interpolations were fitted to the RTLS data. In comparison to the RTK GNSS, the spline models for the three RTLS tags overestimated the mean skiing velocity by 5% and 2% at low and medium intensities, respectively, with no difference between the two systems during high intensity. The corresponding overestimations of the peak velocity at skiing intensities were 15%, 10% and 8%, respectively. A decimated sampling frequency for the RTLS data from 50 Hz to 0.5 Hz resulted in lower typical mean errors for the x-(0.53 m vs. 1.40 m), y-(0.31 m vs. 1.36 m) and z-axis (0.10 m vs. 0.20 m). The spline models based on 0.5 Hz and 1 Hz RTLS data overestimated the finishing times by on average of 0.5 s and 0.3 s, respectively. If a sufficient number of locators is utilized and the number of tags simultaneously recorded is limited, this RTLS can track cross-country skiers accurately. In conclusion, a low RTLS sampling frequency in combination with a spline model offer considerable potential for analyzing performance during cross-country sprint skiing.

Place, publisher, year, edition, pages
2016. Vol. 16, no 2, 769-785 p.
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:miun:diva-29287ISI: 000384915200027OAI: oai:DiVA.org:miun-29287DiVA: diva2:1046397
Available from: 2016-11-14 Created: 2016-11-14 Last updated: 2016-11-14Bibliographically approved

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