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Computer simulation based parameter selection for resistance exercise

conference contribution
posted on 2013-01-01, 00:00 authored by Ognjen Arandjelovic
In contrast to most scientific disciplines, sports science research has been characterized by comparatively little effort investment in the development of relevant phenomenologi-cal models. Scarcer yet is the application of said models in practice. We present a framework which allows resistance training practitioners to employ a recently proposed neu-romuscular model in actual training program design. The first novelty concerns the monitoring aspect of coaching. A method for extracting training performance characteristics from loosely constrained video sequences, effortlessly and with minimal human input, using computer vision is described. The extracted data is subsequently used to fit the underlying neuromuscular model. This is achieved by solving an inverse dynamics problem corresponding to a particular exercise. Lastly, a computer simulation of hypothetical training bouts, using athlete-specific capability parameters, is used to predict the effected adaptation and changes in performance. The software described here allows the practitioner to manipulate hypothetical training parameters and immediately see their effect on predicted adaptation for a specific athlete. Thus, this work presents a holistic view of the monitoring-assessment-adjustment loop.

History

Event

Modelling and Simulation. IASTED International Conference (24th : 2013 : Banff, Alberta)

Pagination

24 - 33

Publisher

ACTA Press

Location

Banff, Alberta

Place of publication

Calgary, Canada

Start date

2013-07-17

End date

2013-07-19

ISBN-13

9780889869608

ISBN-10

088986960X

Language

eng

Publication classification

E1 Full written paper - refereed; E Conference publication

Copyright notice

2013, ACTA Press

Editor/Contributor(s)

J Parker, M Mandal

Title of proceedings

MS 2013 : Proceedings of the 24th IASTED International Conference on Modelling and Simulation

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