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IMU-Based Joint Angle Measurement for Gait Analysis

机译:基于IMU的步态分析关节角测量

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摘要

This contribution is concerned with joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid assuming certain orientations in which the sensors are mounted with respect to the body segments. After a review of available methods that may cope with this challenge, we present a set of new methods for: (1) joint axis and position identification; and (2) flexion/extension joint angle measurement. In particular, we propose methods that use only gyroscopes and accelerometers and, therefore, do not rely on a homogeneous magnetic field. We provide results from gait trials of a transfemoral amputee in which we compare the inertial measurement unit (IMU)-based methods to an optical 3D motion capture system. Unlike most authors, we place the optical markers on anatomical landmarks instead of attaching them to the IMUs. Root mean square errors of the knee flexion/extension angles are found to be less than 1° on the prosthesis and about 3° on the human leg. For the plantar/dorsiflexion of the ankle, both deviations are about 1°.
机译:这种贡献与在人体运动分析中基于惯性测量数据的关节角度计算有关。与大多数机器人设备不同,人体缺少平坦的表面和直角。因此,我们专注于避免假定传感器相对于身体部位安装在某些方向上的方法。在回顾了可能应对这一挑战的可用方法之后,我们提出了一套用于以下方面的新方法:(1)关节轴和位置识别; (2)屈伸关节角度测量。特别是,我们提出了仅使用陀螺仪和加速度计且因此不依赖于均匀磁场的方法。我们提供了经股截肢者步态试验的结果,在该试验中,我们将基于惯性测量单位(IMU)的方法与光学3D运动捕捉系统进行了比较。与大多数作者不同,我们将光学标记放置在解剖界标上,而不是将其附加到IMU上。膝关节屈伸角度的均方根误差在假肢上小于1°,在人腿上小于3°。对于脚踝的足底/背屈,两个偏差约为1°。

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