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A method to align the coordinate system of accelerometers to the axes of a human body: The depitch algorithm

机译:一种将加速度计的坐标系与人体的轴对齐的方法:Depitch算法

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摘要

One of the key problems in accelerometry based gait analyses is that it may not be possible to attach an accelerometer to the lower trunk so that its axes are perfectly aligned to the axes of the subject. In this paper we will present an algorithm that was designed to virtually align the axes of the accelerometer to the axes of the subject during walking sections. This algorithm is based on a physically reasonable approach and built for measurements in unsupervised settings, where the test persons are applying the sensors by themselves. For evaluation purposes we conducted a study with 6 healthy subjects and measured their gait with a manually aligned and a skewed accelerometer attached to the subject's lower trunk. After applying the algorithm the intra-axis correlation of both sensors was on average 0.89. ±. 0.1 with a mean absolute error of 0.05. g. We concluded that the algorithm was able to adjust the skewed sensor node virtually to the coordinate system of the subject.
机译:基于加速度计的步态分析中的关键问题之一是,不可能将加速度计连接到下躯干,以使其轴与对象的轴完美对齐。在本文中,我们将介绍一种算法,该算法旨在在步行过程中将加速度计的轴与对象的轴虚拟对齐。该算法基于一种物理上合理的方法,并且是为在无人监督的环境中进行测量而建立的,在这种情况下,测试人员自己使用传感器。为了进行评估,我们对6名健康受试者进行了研究,并使用手动对准的倾斜加速度计测量了他们的步态,该加速度计附着在受试者的下躯干上。应用该算法后,两个传感器的轴内相关性平均为0.89。 ±。 0.1,平均绝对误差为0.05。 G。我们得出的结论是,该算法能够将偏斜的传感器节点实际上调整为对象的坐标系。

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