Validation of GPS and accelerometer technology in swimming

J Sci Med Sport. 2014 Mar;17(2):234-8. doi: 10.1016/j.jsams.2013.04.007. Epub 2013 May 22.

Abstract

Objectives: To evaluate the validity of an integrated accelerometer and Global Positioning System (GPS) device to quantify swimming kinematics variables in swimming.

Design: Criterion validation study.

Methods: Twenty-one sub-elite swimmers completed three 100 m efforts (one butterfly, breaststroke and freestyle) in an outdoor 50 m Olympic pool. A GPS device with an integrated tri-axial accelerometer was used to obtain mid-pool velocity and stroke count of each effort. This data was compared to velocity and stroke count data obtained from concurrently recorded digital video of the performance.

Results: A strong relationship was detected between the accelerometer stroke count and the video criterion measure for both breaststroke (r>0.98) and butterfly (r>0.99). Also, no significant differences were detected between the GPS velocity and video obtained velocity for both freestyle and breaststroke. There was a significant difference between the GPS velocity and criterion measure for butterfly. Acceptable standard error and 95% limits of agreement were obtained for freestyle (0.13 m s(-1), 0.36 m s(-1)) and breaststroke (0.12 m s(-1), 0.33 m s(-1)) compared to butterfly (0.18 m s(-1), 0.50 m s(-1)). Relative error measurements ranged between 10.2 and 13.4% across the three strokes.

Conclusions: The integrated accelerometer and GPS device offers a valid and accurate tool for stroke count quantification in breaststroke and butterfly as well as measuring mid-pool swimming velocity in freestyle and breaststroke. The application of GPS technology in the outdoor training environment suggests advantageous practical benefits for swimmers, coaches and sports scientists.

Keywords: Breaststroke; Butterfly; Freestyle; Stroke count; Velocity.

Publication types

  • Validation Study

MeSH terms

  • Accelerometry*
  • Adolescent
  • Athletic Performance / physiology*
  • Biomechanical Phenomena
  • Child
  • Female
  • Geographic Information Systems*
  • Humans
  • Male
  • Swimming / physiology*
  • Task Performance and Analysis