Computer-Aided Ergonomics: A Case Study for the Analysis of Resistance Training Exercises

Erman Çakıt
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Abstract

This study features an analysis of the influences and effects of varying forms of execution while performing resistance training exercises from an ergonomic viewpoint using the University of Michigan’s 3D Statistic Strength Prediction Program (3DSSPP). The exemplary use case chosen is the performance of Deadlifts (DL), one of the main full body training exercises in resistance training. The purpose of this study is to show the potential ergonomic problem of lower back impact of the exercise when executed with inaccurate form using the 3DSSPP to exemplary assess the usability of this form of software analysis for the specific area of exercises in resistance training. Based on the findings from the analysis and the results, it can be concluded that according to the software a possible indicator for poor technique especially during phase 1 to 3 is the lower strength requirements on torso and hips in these postures when rounding the back, explaining why people tend to make these mistakes.
计算机辅助人体工程学:抗阻训练分析的个案研究
本研究利用密歇根大学的3D统计力量预测程序(3DSSPP),从人体工程学的角度分析了在进行阻力训练时不同形式的执行的影响和效果。选择的示例用例是硬举(DL)的表现,硬举是阻力训练中主要的全身训练之一。本研究的目的是展示当以不准确的姿势进行练习时对下背部影响的潜在人体工程学问题,使用3DSSPP来示例性地评估这种形式的软件分析对阻力训练中特定练习区域的可用性。根据分析的结果和结果,可以得出结论,根据软件,技术差的一个可能的指标,特别是在阶段1到3,是在这些姿势中对躯干和臀部的力量要求较低,当人们转过身来,解释为什么人们倾向于犯这些错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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