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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:足惯性感应的步态实时评估

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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,我们开发了一个系统,为此计划在个人导航领域的应用程序。在当前版本中,系统体现了由两个双轴加速度计组成的全球定位系统(GPS)接收器和惯性测量单元(IMU),包括两个双轴加速度计和一个单轴陀螺仪。 IMU位于受试者的脚脚背上,旨在产生一些步态参数的估计,包括步幅长度,步幅时间和步行速度。来自GPS和IMU的数据由基于DSP的控制框管理。由DSP处理器执行的计算允许通过施加到陀螺仪信号的基于阈值的方法来检测后续的脚触点,并通过数值刻度集成重建脚脚背的轨迹。算法中的人行道动态的特征是由于传感器噪声和集成漂移引起的估计精度与误差。所有计算都由DSP处理器执行实时条件。脚踏传感器性能在户外水平步行试验期间进行评估。通过惯性死估计估计的行驶距离与GPS在实验条件下的GPS产生的估计进行比较,其中GPS可以用作精确绝对定位的参考源。结果表明,脚惯感测得的显着精度。

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