用于全身动作捕捉的传感器到片段的原位校准

K. Teachasrisaksakul, Zhiqiang Zhang, Guang-Zhong Yang
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引用次数: 1

摘要

传感器到片段的校准是惯性和磁测量单元(IMMUs)运动重建的关键步骤。本文提出了一种新的传感器-片段校准方案。该方案包括三个阶段,允许现场校准。传感器单元连接到身体后,使用预定义的姿势和动作进行传感器校准。采用主成分分析(PCA)方法,利用加速度和角速度测量来估计功能框架(FF)的轴向。最后,使用Levenberg-Marquardt优化来识别期望FF与其相对于传感器框架的估计之间的旋转矩阵。该方法的验证证明了它的实用价值,以及所提出的协议如何减少了对关节运动学评估的串扰程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In situ sensor-to-segment calibration for whole body motion capture
Sensor-to-segment calibration is a critical step for motion reconstruction from inertial and magnetic measurement units (IMMUs). In this paper, a novel sensor-to-segment calibration protocol is proposed. The protocol consists of three stages that allow for in situ calibration. After the sensor units are attached to the body, predefined postures and movements are used for sensor calibration. Acceleration and angular velocity measurements are used to estimate axes of functional frame (FF) by Principal Component Analysis (PCA). Finally, Levenberg-Marquardt optimization is used to identify rotation matrices between the expected FF and their estimations with respect to the sensor frame. Validation of the method demonstrates its practical value and how the proposed protocol reduces the extent of cross-talk for evaluating joint kinematics.
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