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Gait patterns in standard scenarios: Using Xsens MTw inertial measurement units

机译:标准场景中的步态模式:使用Xsens MTW惯性测量单元

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The paper deals with the determination of 3D gait patterns of the lower limbs and the pelvis as a result of experiments in standardized scenarios. In the experimental setup seven synchronized Xsens MTw inertial measurement units (IMU) are applied to the lower limbs and the pelvis of the subject. The sensors provide filtered and strapped down samples of acceleration, angular velocity and magnetic rate vectors as well as the estimated quaternion of orientation. The data are transferred with a rate of 60 Hz and transformed into an inertial coordinate system. Stable and reliable algorithms processing the gait data and calculating gait features of a single sensor are developed and evaluated. These algorithms are based on precise determination of each gait cycle. In the middle of stance phase the foot is not moving. It stands on the floor and, following, the initial conditions for the calculation of foot velocities and distances by integration are predetermined. The same time intervals are used for calculations of the data of the other sensors fixed to the shank, thigh and pelvis. Investigating the averaged motion of different cohorts in various standard scenarios gait patterns were determined and compared with patterns given by Perry and Murray [1,2].
机译:本文根据标准化情景的实验,涉及测定下肢和骨盆的3D步态模式。在实验设置中,七种同步的Xsens MTW惯性测量单元(IMU)施加到受试者的下肢和骨盆。传感器提供过滤和捆绑的加速度,角速度和磁速率矢量以及定向的估计四元数。数据以60Hz的速率传输并转换为惯性坐标系。开发和评估处理步态数据和计算单个传感器的步态数据和计算单个传感器的步态特征的稳定且可靠的算法。这些算法基于每个步态循环的精确确定。在姿势阶段的中间,脚不会移动。它矗立在地板上,并遵循,预先确定脚速和距离计算的初始条件。相同的时间间隔用于计算固定到柄部,大腿和骨盆的其他传感器的数据。研究了在各种标准场景步态模式中调查不同队列的平均运动,并与Perry和Murray提供的模式进行比较[1,2]。

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