A three-dimensional smartphone positioning method using a spinning magnet marker

A three-dimensional smartphone positioning method using a spinning magnet marker
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DOI:
10.23919/icmu.2017.8330076
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发表时间:
2017-10
期刊:
2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)
影响因子:
--
通讯作者:
Kosuke Watanabe;Kei Hiroi;Takeshi Kamiyama;Hiroyuki Sano;M. Tsukamoto;M. Katagiri;Daizo Ikeda;
Kosuke Watanabe;Kei Hiroi;Takeshi Kamiyama;Hiroyuki Sano;M. Tsukamoto;M. Katagiri;Daizo Ikeda;
中科院分区:
其他
文献类型:
--
作者:
Kosuke Watanabe;Kei Hiroi;Takeshi Kamiyama;Hiroyuki Sano;M. Tsukamoto;M. Katagiri;Daizo Ikeda;

文献摘要

相似文献

我们提出了一种使用旋转磁铁标记(SMM)检测智能手机的精确三维位置的方法。SMM是一种通过用电机旋转强磁体来产生动态磁场的设备。在所提出的方法中,智能手机的磁传感器检测由SMM产生的磁场,并且基于SMM的磁场和电机角度以优于几十厘米的精度估计智能手机的三维位置。预计这种精确的三维定位不仅能够更好地将用户导航到他们的目的地,而且还能够更好地理解人类行为。首先,我们构建了将SMM产生的磁场与智能手机在三维极坐标中的三维位置相关的理论方程。其次,我们评估所提出的方法与SMM和智能手机之间的距离固定在1.0米的估计精度。方位角估计的平均误差在11度以内,仰角估计的平均误差在10度以内。距离估计的平均误差在19厘米内的距离高达3.0米。
We propose a method of detecting the precise three-dimensional position of a smartphone using a Spinning Magnet Marker (SMM). An SMM is a device that generates a dynamic magnetic field by spinning a strong magnet with a motor. In the proposed method, the magnetic sensor of a smartphone detects the magnetic field generated by an SMM, and the three-imensional position of the smartphone is estimated with an accuracy of better than several tens of centimeters based on the magnetic field and the motor angle of the SMM. It is expected that such precise three-dimensional positioning will enable not only better navigation of users to their destinations but also a better understanding of human behavior. First, we construct theoretical equations relating the magnetic field generated by the SMM to the three-dimensional position of the smartphone in three-dimensional polar coordinates. Second, we evaluate the estimation accuracy of the proposed method with the distance between the SMM and the smartphone fixed at 1.0 m. The azimuth is estimated with a mean error of within 11 degrees, and the elevation is estimated with a mean error of within 10 degrees. The distance is estimated with a mean error of within 19 cm at distances of up to 3.0 m.