TY - JOUR AU - Martínez, Aaron AU - Brunauer, Richard AU - Venek, Verena AU - Snyder, Cory AU - Jahnel, Rüdiger AU - Buchecker, Michael AU - Thorwartl, Christoph AU - Stöggl, Thomas PY - 2019 M3 - Original Research TI - Development and Validation of a Gyroscope-Based Turn Detection Algorithm for Alpine Skiing in the Field JO - Frontiers in Sports and Active Living UR - https://www.frontiersin.org/articles/10.3389/fspor.2019.00018 VL - 1 SN - 2624-9367 N2 - 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. ER -