添加生物力学:通过顺序优化从人类运动数据中自动化模型缩放,反向动力学和反向动力学
Keenon Werling1, Nicholas A Bianco2, Michael Raitor2
1Department of Computer Science, Stanford University, Stanford, California, United States of America.
PloS one
|November 30, 2023
概括
AddBiomechanics自动化了从运动捕捉数据中分析人类运动,大大减少了处理时间和成本. 这种开源工具可以为研究提供更大,更容易访问的生物力学数据集.
科学领域:
- 生物力学 生物力学
- 人类运动分析分析
- 数据科学数据科学数据科学
背景情况:
- 大规模的人类运动生物力学数据集对于进一步了解运动,疾病和辅助技术至关重要.
- 目前手动处理运动捕捉数据是耗时和昂贵的,阻碍了数据收集和共享.
研究的目的:
- 开发和验证AddBiomechanics,这是一个自动化方法,用于从运动捕捉数据中量化人类运动动态.
- 为了标准化和减少处理生物机械数据所需的努力.
主要方法:
- 利用线性方法和非凸两级优化来缩放肌肉骨模型,注册标记器和计算动力学.
- 采用优化来确定体段质量,并通过最小化与地面反应数据的余力来改进动力学.
主要成果:
- 自动处理每人需要3-30分钟,而手工工作需要1天.
- 与专家计算的值实现了密切对应,标记误差<2厘米,余力<2%的峰值外力.
- 从合成步行数据中成功复制动力学和动力学.
结论:
- AddBiomechanics为人类运动动态量化提供了一个快速,标准化和成本效益的解决方案.
- 开源云服务降低了高质量的生物力学分析的障碍,促进了数据共享和研究.
- 广泛采用AddBiomechanics可以加速理解人类运动和相关条件的突破.
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