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Updated: Jun 14, 2025

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A Smart Ski Pole for Skiing Pattern Recognition and Quantification Application.

Yangyanhao Guo1, Renjie Ju1, Kunru Li1

  • 1Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

A new smart ski pole integrates load cells and inertial measurement units (IMUs) to track skier technique. This innovative training tool significantly improves cross-country ski action recognition accuracy, aiding athlete performance enhancement.

Keywords:
cross-country skiinginertial measurementsskiing patterns recognitionsmart ski poles

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Area of Science:

  • Sports Science
  • Biomechanics
  • Wearable Technology

Background:

  • Ski poles are vital for cross-country skiing technique and propulsion.
  • Analyzing ski pole kinematics offers insights into skier performance.
  • Current training methods lack comprehensive, real-time data feedback.

Purpose of the Study:

  • To develop a smart ski pole system for comprehensive data acquisition.
  • To enhance the understanding of ski technique through kinematic analysis.
  • To create an effective auxiliary training tool for skiers and coaches.

Main Methods:

  • Integrated a uniaxial load cell and an inertial measurement unit (IMU) into a ski pole.
  • Collected kinematic data (pole force, angle, inertia) during Double Poling.
  • Utilized t-tests and Spearman correlation for data analysis.
  • Developed an action recognition algorithm using sensor data for five skiing techniques.

Main Results:

  • Significant differences in pole force, angle, and time were observed among skiers.
  • Pole force and support angle showed strong correlations with skiing speed.
  • The smart ski pole system achieved 99.5% accuracy in recognizing five cross-country skiing techniques.

Conclusions:

  • The smart ski pole provides valuable, comprehensive data for technique analysis.
  • The system demonstrates high accuracy in ski action recognition, surpassing existing systems.
  • This technology offers a promising tool for improving cross-country skiing training and performance.