Improving Precision of BLE-based Indoor Positioning by Using Multiple Wearable Devices

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI:10.1145/3004010.3004041

N. Nakajima, Suhua Tang, T. Ogishi, S. Obana

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引用次数: 6

Abstract

Many kinds of smart (wearable) devices like smartphones are penetrating into our life. With these devices, indoor positioning techniques have been extensively researched. However, the positioning precision, using a single Wi-Fi or BLE (Bluetooth Low Energy) device, is usually limited to several meters. To improve positioning precision, we propose an approach of fingerprinting using multiple wearable BLE devices. In the initial experiments, we noticed that body obstruction leads to different signal strengths when a person with a wearable device turns around. On this basis, we further build directional maps for fingerprinting and study the potential combination of multiple devices in positioning. The experimental results in two indoor scenarios confirm that using multiple devices and directional maps help to greatly improve positioning precision to the decimeter level (more specifically 0.07m). The impact of BLE beacon density is also investigated.

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利用多可穿戴设备提高基于ble的室内定位精度

像智能手机这样的智能(可穿戴)设备正在渗透到我们的生活中。有了这些设备，室内定位技术得到了广泛的研究。然而，使用单个Wi-Fi或BLE(低功耗蓝牙)设备的定位精度通常限制在几米内。为了提高定位精度，我们提出了一种使用多个可穿戴BLE设备进行指纹识别的方法。在最初的实验中，我们注意到当佩戴可穿戴设备的人转身时，身体的阻碍会导致不同的信号强度。在此基础上，我们进一步构建了用于指纹识别的方向图，并研究了多种设备在定位中的潜在组合。在两个室内场景下的实验结果证实，使用多设备和定向地图有助于将定位精度大大提高到分米级别(更具体地说是0.07m)。研究了信标密度的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services

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