On Calibration for Device-free Localization based on Multiple Bluetooth Beacons
On Calibration for Device-free Localization based on Multiple Bluetooth Beacons
复制标题
基于多个蓝牙信标的无设备定位校准
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Shintani Toramatsu
中科院分区：
文献类型：
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作者：
Sugino Kyohei;Ozono Tadachika;Shintani Toramatsu
无设备室内定位对于检测远处老年人的异常情况具有重要意义。蓝牙信标有两个优点；价格便宜，可以长时间行驶，无需更换电池。因此，我们可以比其他设备更灵活地设置它，例如摄像头设备。我们提出了一种使用多个蓝牙信标的无设备室内定位方法。现有的无设备定位技术需要校准接收信号强度的阈值。为了实现自动校准方法，我们应用了通过无监督学习获得的数据聚类。我们通过实验验证了所提出方法的有效性，并表明我们的方法通过无监督学习实现了 95% 的无设备定位。
Device-free Indoor Localization is important to detect abnormality of elderly people of distant place. Bluetooth beacons have two advantages; cheap and driving for long time without exchange of batteries. Therefore, we can set its more flexibly than other devices, e.g. camera devices. We propose a Device-free Indoor Localization method using multiple Bluetooth beacons. Existing Device-free Localization techniques require to calibrate a threshold of received signal strength. To realize an automatic calibration method, we applied obtained data clustering by the unsupervised learning. We verified the efficacy of the proposed method by experiments, and we show that our method realized Device-free Localization with 95% by the unsupervised learning.