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Kinematic State Estimation Using Multiple DGPS/MEMS-IMU Sensors

机译:使用多个DGPS / MEMS-IMU传感器的运动状态估计

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Inertial measurement unit based motion capture (MOCAP) technology has put an end to subjective gait analysis and has allowed researchers to obtain quantitative measurements of the kinematic and kinetic variables associated with gait. However, these systems are prone to drift in the inertial frame, especially under conditions of high acceleration, which naturally occur during rapid maneuveres. In an effort to circumvent this, we explore the possibility of integrating differential global positioning systems (DGPSs) on each limb of interest. This novel configuration is compared to a traditional inertial based system as well as a popular method of differential global positioning systems (DGPS) processing (RTKLIB) by means of an extended Kalman smoother. The configurations are experimentally validated on a mechanical test rig with the effect of nonline of sight of the global navigation satellite systems antennae explored. The results demonstrate that the combination of multiple DGPS receivers facilitate improved accuracy of the multibody system during rapid acceleration movements and can improve the accuracy of future Motion capture (MOCAP) systems.
机译:基于惯性测量单元的运动捕获(MoCAP)技术已经结束了主观步态分析,并且允许研究人员获得与步态相关的运动和动力学变量的定量测量。然而,这些系统易于在惯性框架中漂移,特别是在高加速条件下,在快速机动期间自然发生。为了规避这一点,我们探讨了在每个感兴趣的每个肢体上集成差动全球定位系统(DGPS)的可能性。将这种新颖的配置与传统的基于惯性系统的系统进行了比较,以及通过扩展卡尔曼更顺畅的差分全球定位系统(DGK)处理(RTKLIB)的流行方法。在机械试验台上进行了实验验证的配置,其中探讨了全球导航卫星系统天线的视线的影响。结果表明,多个DGPS接收器的组合在快速加速运动期间促进了多体系系统的准确性,并且可以提高未来运动捕获(MoCAP)系统的准确性。

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