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Visual and quantitative analysis of lower limb 3D gait posture using accelerometers and magnetometers

机译:使用加速度计和磁力计对下肢3D步态姿势进行视觉和定量分析

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An approach using a physical-sensor difference and virtual-sensor difference based algorithm to visually and quantitatively confirm 3D lower limb posture was proposed. Three accelerometers attached on the hip, thigh and shank and two MAG3s (inertial sensor module) fixed on the thigh and shank were used to measure the accelerations and magnetic field data for the calculation of flexion/extension (FE) and abduction/adduction (AA) angles of hip joint and FE, AA and internal/external rotation (IE) angles of knee joint then the trajectories of knee and ankle joints were obtained with the joint angles and segment lengths. There was no integration of acceleration or angular velocity for the joint rotations and positions, and just accelerometers and magnetometers were used in this technique. This is an improvement on the previous method in recent literatures. Compared with the camera motion capture system, the correlation coefficients in five trials were above 0.91 and 0.92 for the hip FE and AA respectively, and higher than 0.94, 0.93 and 0.93 for the knee joint FE, AA and IE respectively. The results show that the technique was suitable for visually and quantitatively estimating the lower limb posture using simple calculation and fewer sensors with satisfactory degree of accuracy during different walking speeds.
机译:提出了一种基于物理传感器差异和虚拟传感器差异的算法从视觉和数量上确定3D下肢姿势的方法。髋,大腿和小腿上安装了三个加速度计,大腿和小腿上安装了两个MAG 3 s(惯性传感器模块),用于测量加速度和磁场数据以计算屈伸髋关节的(FE)和外展/内收(AA)角以及膝关节的FE,AA和内/外旋转(IE)角,然后根据关节角度和段长度获得膝盖和踝关节的运动轨迹。对于关节的旋转和位置,没有加速度或角速度的积分,而在此技术中仅使用了加速度计和磁力计。这是对最近文献中先前方法的改进。与摄像机运动捕捉系统相比,在五个试验中,髋关节FE和AA的相关系数分别高于0.91和0.92,膝关节FE,AA和IE的相关系数分别高于0.94、0.93和0.93。结果表明,该技术适用于视觉和定量估计下肢姿势,方法是简单的计算和较少的传感器,在不同的步行速度下具有令人满意的准确度。

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