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USN Open Archive
Article . 2011
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Men's artistic gymnastics: a new high bar-gymnast model with sensitivity analysis

Authors: Linge, Svein;

Men's artistic gymnastics: a new high bar-gymnast model with sensitivity analysis

Abstract

The purpose of this work1 was to develop a new 2D gymnast - high bar model with horizontal bar endpoint dynamics included. To this end, a three-spring high bar model was extended with a 5 segment gymnast model followed by validation and sensitivity analysis. Validation over a complete giant swing was favourable (bar position rms errors < 0.017m , centre of mass angular position rms error < 11° ). Single parameter perturbations (10% ) caused little deterioration in model performance (lower half of giant swing, - bar position rms errors < 0.006m, arms' angle rms error < 0.9° ). Combinations of parameter perturbations gave bar position rms errors < 0.008m and arms' angle rms error < 1.8° . Model performance was most sensitive to errors in high bar stiffness values.

The original publication is available at www.springerlink.com

Country
Norway
Related Organizations
Keywords

Sensitivity, Gymnastics, Horizontal bar, 429, Modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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