多模态运动捕捉工具箱用于加强对脑和典型发育儿童分段间协调的分析
Ligia Yumi Mochida1, Paulo R P Santiago2, Miranda Lamb3
1Department of Physical Therapy, University of North Florida.
Journal of visualized experiments : JoVE
|January 6, 2026
概括
无标记运动捕捉为分析人类运动提供了经济高效的替代方案,特别是在脑的儿童中. 这项研究表明其可用于临床环境中详细的动力学分析的可行性.
科学领域:
- 生物力学 生物力学
- 人类运动分析 人类运动分析
- 辅助技术 辅助技术 辅助技术
背景情况:
- 基于标记器的运动捕捉是人类运动分析的黄金标准,但对特定人群构成挑战.
- 患有脑和感官处理问题的儿童经常与传统的动力学标记者作斗争.
- 无标记运动捕捉的进步为这些局限性提供了潜在的解决方案.
研究的目的:
- 为了比较基于三维 (3D) 标记器的动作捕捉与用于分析人类运动协调的二维 (2D) 无标记器系统.
- 评估用于研究和临床应用的集成,多式联运运动捕捉工具箱的可行性.
- 提出一种新的,开源的动力学分析方法,以适应有感官处理挑战的患者.
主要方法:
- 开发了一个集成的工具箱,结合了研究级的动力学设备,惯性测量单元,3D无标记和2D无标记系统 (MediaPipe).
- 使用循环图方法 (部-膝盖角-角图) 来分析坐立任务期间的协调模式.
- 在典型发育的儿童和脑儿童中,比较了基于3D标记器的系统与没有2D标记器的系统的动力学数据.
主要成果:
- 证明了集成多式联动捕捉系统用于动力学分析的可行性.
- 无二维标记系统为分析协调模式提供了可行的替代方案,特别是对于具有挑战性的患者群体.
- 循环图的方法被证明是评估运动协调的可靠指标.
结论:
- 多模式运动捕捉系统为各种研究和临床环境提供了灵活性.
- 提出的开源方法解决了传统方法对有感官处理问题的患者的局限性.
- 这项工作通过可访问的动力学分析促进了先进的,个性化的护理计划.
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