首页> 外文会议>Asian conference on multibody dynamics;ACMD 2010 >AMBULATORY ESTIMATION OF 3D LOWER LIMB GAIT POSTURE IN ANATOMICAL COORDINATE FRAME USING WEARABLE SENSOR SYSTEM
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AMBULATORY ESTIMATION OF 3D LOWER LIMB GAIT POSTURE IN ANATOMICAL COORDINATE FRAME USING WEARABLE SENSOR SYSTEM

机译:使用可穿戴传感器系统的解剖坐标系中的3D下肢步态姿势的运动估计

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Knee joint kinematics analysis using an optimal sensor set and a reliable algorithm would be useful in the gait posture analysis. An original approach for ambulatory estimation of knee joint kinematics in anatomical coordinate system was presented, which was composed of physical-sensor difference based algorithm and virtual-sensor difference based algorithm. To test the approach, a wearable monitoring system composed of accelerometers and magnetometers was developed and evaluated on lower limb. The flexion/extension (f/e), abduction/adduction (a/a) and inversion/extension (i/e) rotation angles of the knee joint in the anatomical joint coordinate system were estimated. In this method, since there was no integration of angular acceleration or angular velocity, the result was not distorted by offset and drift. And the three knee joint angles within the anatomical coordinate system were independent of the orders which must be considered when Euler angles were used. Besides, since there were no physical sensors implanted in the knee joint based on the virtual-sensor difference based algorithm, it was feasible to analyze knee joint kinematics with less numbers and kinds of sensors than ever before. Compared with result from the reference system, the developed wearable sensor system was available to do gait analysis with fewer sensors and high degree of accuracy..
机译:使用最佳传感器集和可靠算法的膝关节运动学分析在步态分析中会很有用。提出了一种在解剖坐标系中动态评估膝关节运动学的方法,该方法由基于物理传感器差异的算法和基于虚拟传感器差异的算法组成。为了测试该方法,开发了由加速度计和磁力计组成的可穿戴监控系统,并在下肢进行了评估。估算了解剖关节坐标系中膝关节的屈曲/伸展度(f / e),外展/内展度(a / a)和内翻/伸展度(i / e)旋转角度。在这种方法中,由于不存在角加速度或角速度的积分,因此结果不会因偏移和漂移而失真。解剖坐标系中的三个膝关节角度与使用欧拉角时必须考虑的顺序无关。此外,由于没有基于基于虚拟传感器差异的算法的膝关节植入物理传感器,因此用比以往更少的传感器数量和种类来分析膝关节运动学是可行的。与参考系统的结果相比,已开发的可穿戴传感器系统可用于进行步态分析,传感器数量更少,准确性更高。

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