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Position Tracking During Human Walking Using an Integrated Wearable Sensing System

机译:使用集成的可穿戴传感系统在人类行走过程中进行位置跟踪

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摘要

Progress has been made enabling expensive, high-end inertial measurement units (IMUs) to be used as tracking sensors. However, the cost of these IMUs is prohibitive to their widespread use, and hence the potential of low-cost IMUs is investigated in this study. A wearable low-cost sensing system consisting of IMUs and ultrasound sensors was developed. Core to this system is an extended Kalman filter (EKF), which provides both zero-velocity updates (ZUPTs) and Heuristic Drift Reduction (HDR). The IMU data was combined with ultrasound range measurements to improve accuracy. When a map of the environment was available, a particle filter was used to impose constraints on the possible user motions. The system was therefore composed of three subsystems: IMUs, ultrasound sensors, and a particle filter. A Vicon motion capture system was used to provide ground truth information, enabling validation of the sensing system. Using only the IMU, the system showed loop misclosure errors of 1% with a maximum error of 4–5% during walking. The addition of the ultrasound sensors resulted in a 15% reduction in the total accumulated error. Lastly, the particle filter was capable of providing noticeable corrections, which could keep the tracking error below 2% after the first few steps.
机译:已经取得了进步,可以将昂贵的高端惯性测量单元(IMU)用作跟踪传感器。但是,这些IMU的成本限制了它们的广泛使用,因此,本研究调查了低成本IMU的潜力。开发了一种由IMU和超声传感器组成的可穿戴低成本传感系统。该系统的核心是扩展的卡尔曼滤波器(EKF),它既提供零速度更新(ZUPT),又提供启发式漂移减少(HDR)。将IMU数据与超声测距结合起来以提高准确性。当环境图可用时,将使用粒子过滤器对可能的用户运动施加约束。因此,该系统由三个子系统组成:IMU,超声传感器和粒子过滤器。 Vicon运动捕捉系统用于提供地面真相信息,从而可以验证传感系统。仅使用IMU,系统在行走过程中显示出1%的环路闭合错误,最大误差为4–5%。超声波传感器的添加使总累积误差降低了15%。最后,粒子过滤器能够提供引人注目的校正,在最初的几个步骤之后,可使跟踪误差保持在2%以下。

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