首页> 外文会议>Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on >A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing
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A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing

机译:迈向GPS / INS个人导航系统的一步:通过脚惯性传感实时评估步态

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In this paper, we develop a system for which applications in the field of personal navigation are planned. In the current version, the system embodies a Global Positioning System (GPS) receiver and an inertial measurement unit (IMU), composed of two dual-axis accelerometers and one single-axis gyro. The IMU is positioned at a subject's foot instep, and it is intended to produce estimates of some gait parameters, including stride length, stride time, and walking speed. Data from GPS and IMU are managed by a DSP-based control box. The computations performed by the DSP processor allow to detect subsequent foot contacts by a threshold-based method applied to gyro signal, and to reconstruct the trajectory of the foot instep by numerical strapdown integration. Features of human walking dynamics are incorporated in the algorithm to enhance the estimation accuracy against errors due to sensor noise and integration drift. All computations are performed by the DSP processor in real-time conditions. The foot sensor performance is assessed during outdoor level walking trials. The traveled distance estimated by inertial dead-reckoning is compared with the estimate produced by GPS in experimental conditions where GPS can be used as a reference source for accurate absolute positioning. Results show the remarkable accuracy achieved by foot inertial sensing.
机译:在本文中,我们开发了一个计划用于个人导航领域的应用程序的系统。在当前版本中,该系统包含一个全球定位系统(GPS)接收器和一个惯性测量单元(IMU),该惯性测量单元由两个双轴加速度计和一个单轴陀螺仪组成。 IMU位于对象的脚背,旨在产生一些步态参数的估计值,包括步幅,步幅时间和步行速度。来自GPS和IMU的数据由基于DSP的控制箱管理。由DSP处理器执行的计算允许通过应用于陀螺仪信号的基于阈值的方法来检测后续的脚部接触,并通过数值捷联积分重建脚背的轨迹。该算法结合了人类步行动力学的功能,以提高针对传感器噪声和积分漂移引起的误差的估计精度。所有计算均由DSP处理器在实时条件下执行。在室外水平步行试验中评估脚传感器的性能。将惯性死区推算得出的行进距离与GPS在实验条件下产生的估计值进行比较,在实验条件下,GPS可以用作精确绝对定位的参考源。结果表明,脚部惯性感应可实现卓越的精度。

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