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Development of an Automatic Alpine Skiing Turn Detection Algorithm Based on a Simple Sensor Setup.

Aaron Martínez1, Rüdiger Jahnel2, Michael Buchecker3

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This study developed a simple, feasible system using an inertial measurement unit (IMU) to automatically detect alpine ski turns. The best results for turn detection were achieved using gyroscope signals filtered at 3Hz.

Keywords:
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Area of Science:

  • Biomechanics
  • Sports Technology
  • Sensor Technology

Background:

  • Accurate turn detection is crucial for understanding alpine skiing performance.
  • Existing automatic turn detection methods are often complex and not practical for daily use.

Purpose of the Study:

  • To develop a practical sensor setup and algorithm for precise, daily-use automatic turn detection in alpine skiing.
  • To identify the most effective sensor signals and filtering parameters for turn switch point identification.

Main Methods:

  • An inertial measurement unit (IMU) was attached to ski boots.
  • Ski-ergometer tests were conducted with varying turn durations and slopes.
  • Algorithms analyzed accelerometer and gyroscope data across different filter cut-offs (3-12 Hz).
  • Video analysis established reference turn-switch points for precision assessment.

Main Results:

  • The z-axis and resultant gyroscope signals, filtered at 3Hz, demonstrated the highest precision.
  • The best precision for automatic turn switch detection was 0.056 s (z-axis gyroscope) and 0.063 s (resultant gyroscope).
  • The developed system showed good agreement with video-based reference points (mean bias = 5.2 ms).

Conclusions:

  • A simple IMU-based system can accurately and precisely detect turn switches in alpine skiing.
  • Gyroscope data filtered at 3Hz provides the most reliable signals for this application.
  • This method offers a feasible solution for daily use in analyzing skiing performance.