Development and validation of a gyroscope-based turn detection algorithm for alpine skiing in the field

Aaron Martínez*, Richard Brunauer, Verena Venek, Cory Snyder, Rüdiger Jahnel, Michael Buchecker, Christoph Thorwartl, Thomas Stöggl

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in FachzeitschriftArtikel

Abstract

Several methodologies have been proposed to determine turn switches in alpine skiing. A recent study using inertial measurement units (IMU) was able to accurately detect turn switch points in controlled lab conditions. However, this method has yet to be validated during actual skiing in the field. The aim of this study was to further develop and validate this methodology to accurately detect turns in the field, where factors such as slope conditions, velocity, turn length, and turn style can influence the recorded data. A secondary aim was to identify runs. Different turn styles were performed (carving long, short, drifted, and snowplow turns) and the performance of the turn detection algorithm was assessed using the ratio, precision, and recall. Short carved turns showed values of 0.996 and 0.996, carving long 1.007 and 0.993, drifted 0.833 and 1.000 and snowplow 0.538 and 0.839 for ratio and precision, respectively. The results indicated that the improved system was valid and accurate for detecting runs and carved turns. However, for drifted turns, while all the turns detected were real, some real turns were missing. Further development needs to be done to include snowplow skiing.
OriginalspracheEnglisch
FachzeitschriftFrontiers in Sports and Active Living
Jahrgang1
DOIs
PublikationsstatusVeröffentlicht - 21 Feb 2019

Systematik der Wissenschaftszweige 2012

  • 107 Andere Naturwissenschaften

Zitieren