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Mobile Platform for Motion Capture of Locomotion over Long Distances

机译:用于长距离运动捕捉的移动平台

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摘要

Motion capture is usually performed on only a few steps of over-ground locomotion, limited by the finite sensing volume of most capture systems. This makes it difficult to evaluate walking over longer distances, or in a natural environment outside the laboratory. Here we show that motion capture may be performed relative to a mobile platform, such as a wheeled cart that is moved with the walking subject. To determine the person’s absolute displacement in space, the cart’s own motion must be localized. We present three localization methods and evaluate their performance. The first detects cart motion solely from the relative motion of the subject’s feet during walking. The others use sensed motion of the cart’s wheels to perform odometry, with and without an additional gyroscope to enhance sensitivity to turning about the vertical axis. We show that such methods are practical to implement, and with present-day sensors can yield accuracy of better than 1% over arbitrary distances.
机译:运动捕获通常仅在地面运动的几个步骤上进行,受大多数捕获系统有限的感应量限制。这使得难以评估在较长距离内或在实验室外部的自然环境中的行走情况。在这里,我们展示了可以相对于移动平台(例如与随行对象一起移动的轮式手推车)执行运动捕获。为了确定人员在空间中的绝对位移,必须将推车本身的运动定位。我们提出三种本地化方法并评估其性能。第一种方法仅根据行走过程中对象脚部的相对运动来检测推车的运动。其他人则使用手推车车轮的感应运动来执行里程计,并带有或不带有额外的陀螺仪,以增强绕垂直轴转动的灵敏度。我们证明了这种方法是可行的,并且在当今的传感器中,任意距离的精度都可以达到1%以上。

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