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Marker-based motion tracking using Microsoft Kinect

机译:使用Microsoft Kinect的基于标记的运动跟踪

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Motion capture systems are used to quantify kinematics of a motion in various fields of research. Despite high accuracy, commercial systems are expensive and complicated to use. The Microsoft Kinect has been used as an inexpensive markerless motion capture sensor but it has shown imprecision in measuring delicate motions. To address these limitations, we developed a marker-based motion capture system using the Kinect version 2 sensor. Joint use of the Kinect IR camera as a pinhole camera model and its depth data was introduced in order to calculate the 3-dimensional coordinates of retroreflective markers. The proposed method enabled us to capture joint angles of a human-like ankle flexion/extension motion performed by an HRP-2 humanoid using Kinect version 2 which is known to be a challenging task for the Kinect. The humanoid motion data was used as ground-truth to validate the accuracy of the novel motion capture system. The results pave the way for a breakthrough affordable motion capture system used in both robotics and clinical applications.
机译:运动捕获系统用于量化各种研究领域的运动的运动学。尽管准确度高,但商业系统昂贵且使用复杂。 Microsoft Kinect已被用作廉价的无标记运动捕获传感器,但它在测量精细运动时显示了不精确。为了解决这些限制,我们使用Kinect 2号传感器开发了基于标记的运动捕获系统。引入关节IR相机作为针孔相机模型及其深度数据的联合使用,以计算逆向反射标记的三维坐标。所提出的方法使我们能够捕获由HRP-2人形的人类脚踝屈曲/延伸运动的关节角度使用Kinect版本2来执行,这已知是Kinect的具有挑战性的任务。人形运动数据被用作地面真理,以验证新颖运动捕获系统的准确性。结果为机器人和临床应用中使用的突破性实惠的运动捕获系统铺平了道路。

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