通过磁力跟踪进行精确运动检测的初步评估,以实现可穿戴技术

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Federico Masiero;Valerio Ianniciello;Roberto Raeli;Edoardo Sinibaldi;Lorenzo Masia;Christian Cipriani
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引用次数: 0

摘要

跟踪永磁体是一种低足迹和被动的方法,通过在其中附加或嵌入磁铁来监测物体或人体运动。最近的跟踪技术考虑了磁源的简化模型,即偶极子模型,实现了高带宽检测。然而,这种模型可能导致不准确的结果,任何时候一个非球形磁铁接近传感器阵列。本文提出了一种基于解析模型的任意均匀磁化永磁体跟踪算法。通过安装20个磁力计的物理系统,我们比较了使用我们的算法获得的跟踪精度与使用偶极子模型获得的结果以及相对于接地真值参考。对于单个磁目标,我们的算法可以显着降低位置(高达0.68 mm)和方向误差(高达2.5°),同时实现在线跟踪(计算时间低于19 ms)。与基于偶极子的算法相比,通过减少位置误差(高达0.92 mm),我们还准确地跟踪了两个磁体。这些发现扩大了精确磁跟踪在实时应用中的适用性,促进了磁传感器附近多个磁目标的跟踪。这一进步为可穿戴设备的应用开辟了道路,使运动检测领域超越了传统的惯性测量单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary Assessment of Accurate Motion Detection via Magnetic Tracking Toward Wearable Technologies
Tracking permanent magnets represents a low-footprint and passive approach to monitoring objects or human motion by attaching or embedding magnets therein. Recent tracking techniques achieved high-bandwidth detection considering a simplified model for the magnetic sources, i.e., the dipole model. Nonetheless, such a model can lead to inaccurate results any time a non-spherical magnet approaches the sensor array. Here, we present a novel tracking algorithm based on an analytical model for permanent magnet cylinders with uniform arbitrary magnetization. By means of a physical system mounting 20 magnetometers, we compared the tracking accuracy obtained with our algorithm vs. results obtained by using the dipole model and with respect to a ground-truth reference. With a single magnetic target, our algorithm can significantly lower position (up to 0.68 mm) and orientation errors (up to 2.5°) while enabling online tracking (computation time below 19 ms). We also accurately tracked two magnets, by obtaining a reduction in position error (up to 0.92 mm) vs. the dipole-based algorithm. These findings broaden the applicability of accurate magnetic tracking to real-time applications, facilitating the tracking of multiple magnetic targets in proximity of the magnetic sensors. This advancement opens avenues for applications in wearable devices, advancing the field of motion detection beyond traditional inertial measurement units.
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CiteScore
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