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Computer simulation based parameter selection for resistance exercise

Arandjelovic, Ognjen 2013, Computer simulation based parameter selection for resistance exercise, in MS 2013 : Proceedings of the 24th IASTED International Conference on Modelling and Simulation, ACTA Press, Calgary, Canada, pp. 24-33, doi: 10.2316/P.2013.802-016.

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Title Computer simulation based parameter selection for resistance exercise
Author(s) Arandjelovic, Ognjen
Conference name Modelling and Simulation. IASTED International Conference (24th : 2013 : Banff, Alberta)
Conference location Banff, Alberta
Conference dates 17-19 Jul. 2013
Title of proceedings MS 2013 : Proceedings of the 24th IASTED International Conference on Modelling and Simulation
Editor(s) Parker, J.
Mandal, M.
Publication date 2013
Conference series IASTED International Conference on Modelling and Simulation
Start page 24
End page 33
Total pages 10
Publisher ACTA Press
Place of publication Calgary, Canada
Keyword(s) muscle
powerlifting
strength
training
weight
Summary 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.
ISBN 088986960X
9780889869608
Language eng
DOI 10.2316/P.2013.802-016
Field of Research 080110 Simulation and Modelling
080104 Computer Vision
110604 Sports Medicine
Socio Economic Objective 950103 Recreation
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
HERDC collection year 2013
Copyright notice ©2013, ACTA Press
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057185

Document type: Conference Paper
Collections: Centre for Pattern Recognition and Data Analytics
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.