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Updated: Sep 10, 2025

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基于双四边形的向前和逆向动力学用于二维步态分析
Rodolfo Vergara-Hernandez1, Juan-Carlos Gonzalez-Islas1, Omar-Arturo Dominguez-Ramirez1
1Basic Sciences and Engineering Institute, Autonomous University of the State of Hidalgo, Pachuca 42184, Hidalgo, Mexico.
Journal of functional morphology and kinesiology
|August 22, 2025
概括
这项研究引入了一种新的2D步态分析框架,使用基于四边形的动态建模来准确估计关联变量并避免奇点. 这些方法有效地计算了各种走路模式的下肢姿势和关节角度.
科学领域:
- 生物力学
- 机器人技术
- 计算动力学
背景情况:
- 步态动力学分析了行走过程中的关节角度和细分运动.
- 现有的步态分析方法在准确性,奇点和建模复杂性方面面临挑战.
- 基于四边形的动态建模为增强步态分析提供了潜在的解决方案.
研究的目的:
- 建议使用基于四边形的动力模型进行二维步态分析框架.
- 解决和克服共同变量估计中的奇点.
- 为了提高步态分析的准确性.
主要方法:
- 用于前方动力学 (FK) 的双四次子组成.
- 采用化最小方形 (DLS) 雅可比式的逆动力学 (IK) 方法.
- 在正常步行模式,脚步行模式和脚跟步行模式中使用RMSE进行评估.
主要成果:
- 拟议的FK和IK方法准确计算了三度自由度 (DoF) 下肢动力链的姿势和关节角度.
- 在各种走路模式中表现出有效性
- 在动力分析中验证了基于四的模型的精度.
结论:
- 开发的框架为2D步态分析提供了准确且无奇点的方法.
- 扩展到包括全人体在内的更复杂的运动链模型的潜力.
- 适用于疾病诊断和性能评估中的临床步态分析.
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