迈向类人双足机器人的步态:基于kinect的动作捕捉系统记录的人体运动的生物力学分析

B. Gabbasov, Igor Danilov, Ilya M. Afanasyev, E. Magid
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引用次数: 8

摘要

本文介绍了基于四个Kinect 2传感器和iPi Soft无标记跟踪和可视化技术的运动捕捉(MoCap)系统记录的人体运动的生物力学分析。为了分析多深度传感器视频记录,我们使用iPi Mocap Studio软件和iPi Biomech Add-on插件,它们为我们提供了视觉和生物力学的人体步态数据:线性和角关节坐标、速度、加速度、质心(CoM)位置、骨骼和3D点云。最后在MATLAB环境下进行分析,将人体作为单个权重点,从人体动力学角度计算出弹道轨迹的零力矩点(ZMP)和地面投影。然后进行GCoM和ZMP误差估计。我们研究的进一步目标是用俄罗斯双足机器人AR-601M再现我们的动作捕捉系统获得的类人步态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a human-like biped robot gait: Biomechanical analysis of human locomotion recorded by Kinect-based Motion Capture system
This paper presents biomechanical analysis of human locomotion recorded by Motion Capture (MoCap) system based on four Kinect 2 sensors and iPi Soft markerless tracking and visualization technology. To analyze multi-depth sensor video recordings we utilize iPi Mocap Studio software and iPi Biomech Add-on plug-in, which provide us visual and biomechanical human gait data: linear and angular joint coordinates, velocity, acceleration, center of mass (CoM) position, skeleton and 3D point cloud. The final analysis was performed in MATLAB environment, calculating zero moment point (ZMP) and ground projection of the CoM (GCoM) trajectories from human body dynamics by considering human body as a single weight point. These were followed by GCoM and ZMP error estimation. The further objective of our research is to reproduce the obtained with our MoCap system human-like gait with Russian biped robot AR-601M.
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