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A Video-Based Method to Quantify Stroke Synchronisation in Crew Boat Sprint Kayaking.

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This study developed a reliable video method to measure stroke synchronisation in sprint kayaking (K2). Results show significant variation in synchronisation profiles among crews, indicating no single optimal pattern for performance.

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Area of Science:

  • Sports Science
  • Biomechanics
  • Human Movement Analysis

Background:

  • Optimizing crew synchronisation is crucial for performance in two-seater sprint kayaking (K2).
  • Previous methods for quantifying synchronisation lack detailed analysis of stroke phases.
  • Understanding stroke synchronisation patterns can inform training strategies.

Purpose of the Study:

  • To quantify stroke synchronisation in K2 sprint kayaking using a novel video-based method.
  • To assess the reliability (intra- and inter-rater) of this video analysis technique.
  • To explore variations in synchronisation profiles among sub-elite K2 crews.

Main Methods:

  • A video-based method was employed to analyse stroke synchronisation in six sub-elite K2 crews during 200-m time trials.
  • High-speed (120 Hz) video captured kayakers, with analysis focusing on four key stroke positions: catch, immersion, extraction, and release.
  • The timing difference (offset) between front and back paddlers was calculated for each stroke position to quantify synchronisation.

Main Results:

  • The video analysis method demonstrated high intra-rater (ICC .87-1.00) and substantial inter-rater (ICC .72-.94) reliability.
  • On average, K2 crews exhibited a mean offset of 17 ms (5.7% of water phase duration).
  • Synchronization was greater at the catch (11 ms) compared to the release (21 ms), with considerable variation in individual crew profiles.

Conclusions:

  • The developed video-based method is a reliable tool for quantifying stroke synchronisation in K2 kayaking.
  • Significant inter-crew variability in synchronisation profiles suggests no universal optimal pattern exists for well-trained kayakers.
  • This method offers potential for future research aimed at enhancing sprint kayaking performance through targeted synchronisation analysis.