IEEE J Biomed Health Inform. 2018 Jan;22(1):77-86. doi: 10.1109/JBHI.2017.2659758. Epub 2017 Jan 26.
Inertial sensor drift is usually corrected on a single-sensor unit level. When multiple sensor units are used, mutual information from different units can be exploited for drift correction. This study introduces a method for a drift-reduced estimation of three dimensional (3-D) segment orientations and joint angles for motion capture of highly dynamic movements as present in many sports. 3-D acceleration measured on two adjacent segments is mapped to the connecting joint. Drift is estimated and reduced based on the mapped accelerations' vector orientation differences in the global frame. Algorithm validity is assessed on the example of alpine ski racing. Shank, thigh, and trunk inclination as well as knee and hip flexion were compared to a multicamera-based reference system. For specific leg angles and trunk segment inclination mean accuracy and precision were below 3.9° and 6.0°, respectively. The errors were similar to errors reported in other studies for lower dynamic movements. Drift increased axis misalignment and mainly affected joint and segment angles of highly flexed joints such as the knee or hip during a ski turn.
惯性传感器漂移通常在单个传感器单元级别上进行校正。当使用多个传感器单元时,可以利用来自不同单元的相互信息来进行漂移校正。本研究介绍了一种用于减少三维(3-D)节段方向和关节角度估计的方法,用于运动捕捉许多运动中存在的高度动态运动。在两个相邻节段上测量的三维加速度被映射到连接关节。基于映射加速度在全局坐标系中的向量方向差异来估计和减少漂移。算法有效性通过高山滑雪比赛的例子进行评估。将小腿、大腿和躯干倾斜以及膝盖和臀部弯曲与基于多摄像机的参考系统进行比较。对于特定的腿部角度和躯干节段倾斜,平均准确性和精度分别低于 3.9°和 6.0°。这些误差与其他研究中报道的用于较低动态运动的误差相似。漂移增加了轴不对准,并且主要影响滑雪转弯过程中高度弯曲的关节(如膝盖或臀部)的关节和节段角度。