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Titel
Development of an Automatic Alpine Skiing Turn Detection Algorithm Based on a Simple Sensor Setup
VerfasserMartínez, Aaron ; Jahnel, Rüdiger ; Buchecker, Michael ; Snyder, Cory ; Brunauer, Richard ; Stöggl, Thomas
Erschienen in
Sensors, Basel, 2019, Jg. 19, H. 4, S. 1-12
ErschienenBasel : MDPI, 2019
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)accelerometer / gyroscope / IMU / precision / ski
ISSN1424-8220
URNurn:nbn:at:at-ubs:3-11624 Persistent Identifier (URN)
DOI10.3390/s19040902 
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 Das Werk ist frei verfügbar
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Development of an Automatic Alpine Skiing Turn Detection Algorithm Based on a Simple Sensor Setup [1.47 mb]
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Zusammenfassung (Englisch)

In order to gain insight into skiing performance, it is necessary to determine the point where each turn begins. Recent developments in sensor technology have made it possible to develop simpler automatic turn detection methodologies, however they are not feasible for regular use. The aim of this study was to develop a sensor set up and an algorithm to precisely detect turns during alpine ski, which is feasible for a daily use. An IMU was attached to the posterior upper cuff of each ski boot. Turn movements were reproduced on a ski-ergometer at different turn durations and slopes. Algorithms were developed to analyze vertical, medio-lateral, anterior-posterior axes, and resultant accelerometer and gyroscope signals. Raw signals, and signals filtered with 3, 6, 9, and 12 Hz cut-offs were used to identify turn switch points. Video recordings were assessed to establish a reference turn-switch and precision (mean bias = 5.2, LoA = 51.4 ms). Precision was adjusted based on reference and the best signals were selected. The z-axis and resultant gyroscope signals, filtered at 3Hz are the most precise signals (0.056 and 0.063 s, respectively) to automatically detect turn switches during alpine skiing using this simple system.

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CC-BY-Lizenz (4.0)Creative Commons Namensnennung 4.0 International Lizenz