An inertial sensor based system for quantification of training and technique development for elite swimmers
An inertial sensor based system for quantification of training and technique development for elite swimmers
Technical research in swimming is a relatively young field when compared to many other Olympic sports. This can be attributed to the hydrodynamic and biomechanical complexities of the activity, combined with the inherent difficulties in measuring performance metrics precisely. As a result, few tools have been developed to acquire and analyse data to aid with design and implementation of elite training plans. This project attempts to advance this state by approaching the problem from an engineering perspective, and combine this with the goal of investigating the driving factors behind performance gain in elite level swimming techniques. In this report, the basic principles important to the study of elite swimming are reviewed, the current state of data acquisition and analysis in swimming is assessed, and areas requiring further research are identified. The design of a training analysis system is outlined, including an energy expenditure simulator, a procedure for detailed technique analysis using onedimensional velocity measurement, and a highly usable training load estimator based on threedimensional acceleration data recorded using an inertial measurement unit (IMU). The simulator and technique analysis software are presented as validity studies, while the IMU based training load estimator is developed to extract useful metrics for training progression and performance analysis, and validated through an elite athlete trial using comparative data provided by British Swimming. Potential for accuracy and range of such a system are defined, as well as limitations inherent to the technology available and the procedures utilised.
University of Southampton
Michaels, Scott
748e80f9-9f73-462a-a4ae-4e8ac14b5158
25 June 2020
Michaels, Scott
748e80f9-9f73-462a-a4ae-4e8ac14b5158
Turnock, Stephen
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Michaels, Scott
(2020)
An inertial sensor based system for quantification of training and technique development for elite swimmers.
University of Southampton, Doctoral Thesis, 169pp.
Record type:
Thesis
(Doctoral)
Abstract
Technical research in swimming is a relatively young field when compared to many other Olympic sports. This can be attributed to the hydrodynamic and biomechanical complexities of the activity, combined with the inherent difficulties in measuring performance metrics precisely. As a result, few tools have been developed to acquire and analyse data to aid with design and implementation of elite training plans. This project attempts to advance this state by approaching the problem from an engineering perspective, and combine this with the goal of investigating the driving factors behind performance gain in elite level swimming techniques. In this report, the basic principles important to the study of elite swimming are reviewed, the current state of data acquisition and analysis in swimming is assessed, and areas requiring further research are identified. The design of a training analysis system is outlined, including an energy expenditure simulator, a procedure for detailed technique analysis using onedimensional velocity measurement, and a highly usable training load estimator based on threedimensional acceleration data recorded using an inertial measurement unit (IMU). The simulator and technique analysis software are presented as validity studies, while the IMU based training load estimator is developed to extract useful metrics for training progression and performance analysis, and validated through an elite athlete trial using comparative data provided by British Swimming. Potential for accuracy and range of such a system are defined, as well as limitations inherent to the technology available and the procedures utilised.
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Submitted date: June 2017
Published date: 25 June 2020
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Local EPrints ID: 455937
URI: http://eprints.soton.ac.uk/id/eprint/455937
PURE UUID: afddaef9-009d-4f07-935e-12666a7a4318
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Date deposited: 08 Apr 2022 17:54
Last modified: 31 Oct 2024 05:01
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Author:
Scott Michaels
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