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Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers

机译:步态运动学:基于加速度计的角度估计新方法

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A new method for estimation of angles of leg segments and joints, which uses accelerometer arrays attached to body segments, is described. An array consists of two accelerometers mounted on a rigid rod. The absolute angle of each body segment was determined by band pass filtering of the differences between signals from parallel axes from two accelerometers mounted on the same rod. Joint angles were evaluated by subtracting absolute angles of the neighboring segments. This method eliminates the need for double integration as well as the drift typical for double integration. The efficiency of the algorithm is illustrated by experimental results involving healthy subjects who walked on a treadmill at various speeds, ranging between 0.15 m/s and 2.0 m/s. The validation was performed by comparing the estimated joint angles with the joint angles measured with flexible goniometers. The discrepancies were assessed by the differences between the two sets of data (obtained to be below 6 degrees) and by the Pearson correlation coefficient (greater than 0.97 for the knee angle and greater than 0.85 for the ankle angle).
机译:描述了一种新的估计腿节和关节角度的方法,该方法使用了附着在身体节段上的加速度计阵列。阵列由安装在刚性杆上的两个加速度计组成。通过对安装在同一杆上的两个加速度计的平行轴的信号之间的差异进行带通滤波,确定每个人体节段的绝对角度。通过减去相邻线段的绝对角度来评估关节角度。这种方法消除了对双重积分的需要,也消除了双重积分的典型漂移。该算法的效率通过健康受试者的实验结果得以说明,这些受试者以各种速度(介于0.15 m / s和2.0 m / s之间)在跑步机上行走。通过将估计的关节角度与用柔性测角仪测量的关节角度进行比较来进行验证。差异是通过两组数据之间的差异(低于6度)和皮尔森相关系数(膝角大于0.97,踝角大于0.85)评估的。

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