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首页> 外文会议>4th International Symposium on Bioelectronics and Bioinformatics >An adaptive orientation misalignment calibration method for shoulder movements using inertial sensors: A feasibility study
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An adaptive orientation misalignment calibration method for shoulder movements using inertial sensors: A feasibility study

机译：使用惯性传感器的肩膀运动的自适应方位失准校准方法：可行性研究

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摘要

Qualitative assessment of the progress in physical rehabilitation largely depends on accurate measurement of the range of movements and other kinematic parameters. In clinical practice, wearable inertial sensors have proved to be a potential candidate for such measurements, over the traditional marker based optical systems due to cost and space considerations. The accuracy of wearable sensors have a significant dependence on the initial orientation calibration and the assumption that the sensor will not slip or move with respect to the attached limb. This article introduces a novel calibration algorithm to correct initial orientation misalignment, as well as to track and correct subsequent alignment errors progressively throughout the experiment. The theoretical assertions are validated through controlled experiments with simulated accelerometer and gyroscope measurements.
机译：对身体康复进展的定性评估很大程度上取决于对运动范围和其他运动学参数的准确测量。在临床实践中，由于考虑到成本和空间，与传统的基于标记的光学系统相比，可穿戴惯性传感器已被证明是此类测量的潜在候选者。可穿戴式传感器的精度很大程度上取决于初始方向校准以及传感器不会相对于所附着肢体滑动或移动的假设。本文介绍了一种新颖的校准算法，可校正初始方向的未对准以及在整个实验过程中逐步跟踪和校正后续的对准误差。理论结论通过模拟加速度计和陀螺仪测量的受控实验得到验证。

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