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当用低成本的无标记器和基于标记器的运动跟踪系统提取时,动力协同效应显示出良好的一致性
Cristina Brambilla1, Alessandro Scano1
1Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA), Italian Council of National Research (CNR), Milano, Italy.
Heliyon
|June 17, 2024
概括
像Kinect V2这样的无标记运动跟踪系统,与分析上肢运动的基于标记器的系统显示出良好的一致性. 这表明它们可用于临床环境中的粗运动控制评估的可行性.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 人类运动分析分析
背景情况:
- 无标记追踪系统比基于标记的系统提供了诸如灵活性和较低成本等优势.
- 然而,与基于标记器的系统相比,无标记器系统的跟踪精度通常较低.
- 之前的研究已经评估了临床应用的各种生物力学测量中的无标记系统错误.
研究的目的:
- 使用电机控制评估,将一个无标记的跟踪系统 (Kinect V2) 与一个基于标记的金标准系统 (Vicon) 进行比较.
- 评估无标记系统的可行性,以进行动力协同分析.
主要方法:
- 15名参与者进行了多向的上肢运动.
- 从基于标记器 (Vicon) 和无标记器 (Kinect V2) 的跟踪数据中提取了动态协同效应,使用混合矩阵因子化.
- 分析了空间和时间组织的协同作用,并比较了系统.
主要成果:
- 从基于标记的和没有标记的数据集中一致提取了四个动态协同效应.
- 在两个系统的协同作用集群中观察到高的共因相似性 (>=0.60).
- 在6个协同效应中的5个中,从无标记和基于标记的数据中提取的协同效应之间发现了很好的匹配 (共因相似性>=0.60).
结论:
- 无标记追踪系统,如Kinect V2,可用于粗体运动中的动力协同分析.
- 这些系统可以准确地估计协同效应的数量及其时空组织.
- 无标记器系统与基于标记器的黄金标准系统在电机控制评估方面表现出良好的一致性.
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