IMU Data-Driven and PCA-Based Approach to Establish Quantifiable and Practically Applicable Measures for V2 Technique...

Area of Science:

• Biomechanics
• Sports Science
• Motor Control

Background:

• Quantifying movement coordination in cross-country (XC) skiing, particularly the V2 technique, presents significant challenges.
• Bridging the gap between scientific theory and practical expert knowledge in ski instruction is difficult.

Purpose of the Study:

• To translate 14 distinct V2 ski-skating technique elements from curricula into quantifiable and scientifically grounded measures.
• To enhance the technique training process for cross-country skiers.

Main Methods:

• Utilized inertial measurement unit (IMU) data from 10 elite XC skiers performing extreme variations of 14 V2 technique elements.
• Applied element-specific principal component analyses (PCAs) and statistical parametric mapping (SPM) to identify quantifiable movement components.

Main Results:

• Developed quantifiable measures for V2 ski-skating technique elements.
• Ten measures effectively distinguished between extreme technique variations.
• SPM did not detect significant differences for four elements: lateral tilt, plantar flexion, ski set-down, and leg push-off.

Conclusions:

• Introduced a novel, quantitative approach to assess V2 ski-skating technique.
• The developed measures can enhance technique feedback and improve communication between scientists and practitioners.
• This methodology offers a more scientifically grounded basis for technique training.