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Sensors 2015, 15(5), 11363-11386; doi:10.3390/s150511363

Measuring Kinematic Variables in Front Crawl Swimming Using Accelerometers: A Validation Study

Department of Sport and Physical Activity, Bournemouth University, Poole BH12 5BB, UK
Academic Editor: Vittorio M.N. Passaro
Received: 12 March 2015 / Accepted: 27 April 2015 / Published: 14 May 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [3654 KB, uploaded 18 May 2015]   |  

Abstract

Objective data on swimming performance is needed to meet the demands of the swimming coach and athlete. The purpose of this study is to use a multiple inertial measurement units to calculate Lap Time, Velocity, Stroke Count, Stroke Duration, Stroke Rate and Phases of the Stroke (Entry, Pull, Push, Recovery) in front crawl swimming. Using multiple units on the body, an algorithm was developed to calculate the phases of the stroke based on the relative position of the body roll. Twelve swimmers, equipped with these devices on the body, performed fatiguing trials. The calculated factors were compared to the same data derived to video data showing strong positive results for all factors. Four swimmers required individual adaptation to the stroke phase calculation method. The developed algorithm was developed using a search window relative to the body roll (peak/trough). This customization requirement demonstrates that single based devices will not be able to determine these phases of the stroke with sufficient accuracy. View Full-Text
Keywords: biomechanics; swimming; accelerometers; performance analysis; coaching; sports science biomechanics; swimming; accelerometers; performance analysis; coaching; sports science
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Callaway, A.J. Measuring Kinematic Variables in Front Crawl Swimming Using Accelerometers: A Validation Study. Sensors 2015, 15, 11363-11386.

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