Faculty of Power And Aeronautical Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland.
Independent Researcher, Quito 17203, Ecuador.
Sensors (Basel). 2023 Feb 2;23(3):1643. doi: 10.3390/s23031643.
A new measure of motion similarity has been proposed. The formulation of this measure is presented and its logical basis is described. Unlike in most of other methods, the measure enables easy determination of the instantaneous synergies of the motion of body parts. To demonstrate how to use the measure, the data describing human movement is used. The movement is recorded using a professional motion capture system. Two different cases of non-periodic movements are discussed: stepping forward and backward, and returning to a stable posture after an unexpected thrust to the side (hands free or tied). This choice enables the identification of synergies in slow dynamics (stepping) and in fast dynamics (push recovery). The trajectories of motion similarity measures are obtained for point masses of the human body. The interpretation of these trajectories in relation to motion events is discussed. In addition, ordinary motion trajectories and footprints are shown in order to better illustrate the specificity of the discussed examples. The article ends with a discussion and conclusions.
提出了一种新的运动相似性度量方法。给出了该度量的公式,并描述了其逻辑基础。与大多数其他方法不同,该度量方法可以方便地确定身体部位运动的瞬时协同作用。为了演示如何使用该度量方法,使用了描述人体运动的数据。运动是使用专业的运动捕捉系统记录的。讨论了两种不同的非周期性运动情况:向前和向后跨步,以及在受到意外侧向推力后(手自由或绑住)恢复到稳定姿势。这种选择可以识别缓慢动力学(跨步)和快速动力学(推回)中的协同作用。获得了人体点质量的运动相似性度量轨迹。讨论了这些轨迹与运动事件的关系的解释。此外,还显示了普通的运动轨迹和足迹,以便更好地说明所讨论的示例的特殊性。文章最后进行了讨论和总结。