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A FORCE ESTIMATION METHOD BASED ON DEFORMATION OF AN OBJECT USING A HIGH-SPEED CAMERA

机译:一种基于高速摄像机对象变形的力估计方法

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摘要

A motion-capture system using video cameras can record human motion by measuring the position of markers attached on a human subject, and enables to reconstruct human motion on a computer. However, the capable information is basically limited to the positional data, such as hand position, limb's posture, and so on. If the force data related to human movements could accurately measure from the video data as well as the positional data, it would be much useful to analyze human behaviors and to construct a more realistic virtual reality. The present paper proposes a vision-based estimation method of the applied force from a human to deformable objects without a force sensor. The proposed method is simple but can estimate the applied force accurately by means of the mechanical properties of deformed object corresponding to its deformation form. The preliminary test using a soccer ball is carried out to demonstrate the effectiveness of the proposed method.
机译:使用摄像机的运动捕获系统可以通过测量在人类主题上附加的标记的位置来记录人类运动,并且可以在计算机上重建人类运动。 然而,能力的信息基本上限于位置数据,例如手势,肢体的姿势等。 如果与人类运动相关的力数据可以从视频数据以及位置数据准确测量,分析人类行为并构建更现实的虚拟现实是很有用的。 本文提出了一种基于视觉的施加力的施加力的施加力从人到没有力传感器的可变形物体。 所提出的方法简单,但可以通过对应于其变形形式的变形物体的机械性能来精确地估计施加的力。 进行了使用足球的初步测试来证明所提出的方法的有效性。

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