通过从惯性测量单元与3D前向动力学模型中的传感器融合来估计运动运动期间的地面反应力
Tatsuki Koshio1, Naoto Haraguchi1, Takayoshi Takahashi1
1Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo 191-0065, Japan.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
本研究估计了使用3D模型和惯性传感器对旋转跳跃的地面反应力 (GRF). 该方法可以在没有力板或广泛的训练数据的情况下进行生物力学分析.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 运动分析 运动分析
背景情况:
- 旋转跳跃在体育运动中至关重要,需要准确的地面反应力 (GRF) 估计来进行性能分析.
- 传统的GRF测量方法 (例如,力板) 在可访问性和适用性方面存在局限性.
- 现有的生物机械模型通常需要大量的数据或特定的测量环境.
研究的目的:
- 开发和验证一种用于在旋转跳跃期间估计GRF的新方法.
- 为了使复杂运动的生物力学分析独立于专用设备或大型数据集.
- 为分析各种设置中的跳跃技术提供一个多功能工具.
主要方法:
- 使用3D前进动态模型与优化计算相结合.
- 使用惯性测量单元 (IMU) 来捕捉陆地上的旋转跳跃运动.
- 集成的传感器融合与扩展的卡尔曼波器用于准确的3D定向估计,减轻动态加速效应.
主要成果:
- 通过生成基于成本函数的运动,成功计算了生物机械有效的GRF.
- 估计方法准确地遵循测量的运动,即使IMU不完全覆盖所有关节.
- 证明了有效估计GRF和机身负载的能力.
结论:
- 开发的估计方法为3D运动分析提供了测量条件和训练数据独立的解决方案.
- 这种方法显著提高了旋转跳跃的生物力学分析的可访问性.
- 为体育科学和绩效评估中的GRF估计提供了一个强大的替代方案.
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