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Related Experiment Video

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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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Accelerometery vs. video-derived stroke parameters in high-level swimmers.

C Musson1, M Kramer2

  • 1Human Movement Science Department, Nelson Mandela University, Gqeberha, South Africa.

South African Journal of Sports Medicine
|February 23, 2023
PubMed
Summary

Tri-axial accelerometers provide a practical and valid method for analyzing swimming performance across all strokes. Data from accelerometers are consistent with video analysis, offering coaches useful insights into stroke rate, length, and velocity.

Keywords:
accelerometerselite swimmerskinematicsvideo analysis

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Area of Science:

  • Sports Science
  • Biomechanics
  • Performance Analysis

Background:

  • Swimming performance relies on nuanced parameters like lap time, stroke length (SL), and stroke rate (SR), which are traditionally time-consuming to analyze.
  • Tri-axial accelerometers offer a cost-effective solution for automating the extraction and analysis of these key swimming metrics.

Purpose of the Study:

  • To validate the use of tri-axial accelerometers for swimming performance analysis across all four major stroke styles.
  • To explore kinematic differences between stroke styles using accelerometer-derived data.

Main Methods:

  • Twelve elite swimmers (5 male, 7 female) participated in the study.
  • Performance data were collected using tri-axial accelerometers and compared against video analysis.

Main Results:

  • Accelerometer data showed high correlation (r > 0.91) with video analysis for most parameters, indicating consistency.
  • While minor biases were observed, accelerometer-derived stroke rate, stroke length, and velocity were deemed practically useful for coaching.

Conclusions:

  • Tri-axial accelerometers are a valid and consistent tool for analyzing swimming performance across different strokes.
  • The minor discrepancies between accelerometer and video data are not practically significant, supporting their use in training environments.