BRG.LifeMOD$^{TM}$ modeling and simulation of swimmers impulse during a grab start
Guillaume Agnesina (GRESPI), Redha Taiar (GRESPI), Nicolas Houel, (LMS), Kevin Guelton (CRESTIC), Philippe Hellard (IRMES - EA 7329), Yuli, Toshev

TL;DR
This study develops a personalized 3D simulation model for swimmers' impulse during a grab start, enabling performance analysis and optimization based on individual morphologic and kinematic data.
Contribution
It introduces a novel approach for creating individualized swimmer models in BRG.LifeMOD, integrating high-speed video and passive markers for accurate simulation.
Findings
Model accurately predicts joint moments and impulse phase dynamics.
Simulation results align well with experimental ground reaction data.
The approach facilitates performance optimization for swimmers.
Abstract
The main aim of the study is to propose an approach for 3D modeling and simulation of swimmers impulse during a grab start. Four national level swimmers were investigated. For every swimmer, 3D model was generated in BRG.LifeMOD TM on the base of individual morphologic parameters and kinematic data obtained by high speed video camera and passive markers attached at the level of each important articulation. The proposed approach allows predicting swimmer's joint moments for each important articulation during the impulse phase of the grab start and to analyze the segmental coordination for each studied swimmer in order to optimize the performance. The model was successfully validated by comparing the predicted speed and power values with experimental ground reactions data collected in situ.
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Taxonomy
TopicsSports Performance and Training · Muscle activation and electromyography studies · Balance, Gait, and Falls Prevention
