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Indoor localization through dynamic time warping

机译:通过动态时间扭曲实现室内本地化

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Identifying and locating oneself in different hallways of high rise buildings forms the classic indoor localization problem. GPS does not work indoors and WiFi may not be omnipresent. This paper presents a novel approach to ambient magnetic fields based indoor localization. We present a system that classifies magnetic signatures using dynamic time warping. Specifically, by aligning similar magnetic signatures that differ in magnitude or time, we classify the signatures and infer the location irrepective of the person and his/her mode of commuting. A Nexus One smartphone was employed, utilizing its builtin magnetic field sensor to create a user friendly localization application solely on the phone. By using a variety of subjects including sighted, blindfolded and people using wheelchairs to handle the human speed variation problem, we evaluated the system across 26 and 15 hallways of two different buildings and obtained accuracies of 92.6%, and 91.1% respectively. With these encouraging results, we believe our proposed solution is user independent and caters to a wide range of hallways.
机译:在高层建筑的不同走廊中进行识别和定位会形成经典的室内定位问题。 GPS无法在室内使用,并且WiFi可能不存在。本文提出了一种基于室内定位的环境磁场的新颖方法。我们提出了使用动态时间规整对磁性签名进行分类的系统。具体来说,通过对齐大小或时间不同的相似磁性签名,我们对签名进行分类,并推断出与人无关的位置及其通勤方式。使用了Nexus One智能手机,它利用其内置的磁场传感器仅在手机上创建了用户友好的本地化应用程序。通过使用各种对象,包括有视力的,蒙着眼睛的人和使用轮椅的人来解决人的速度变化问题,我们在两个不同建筑物的26个和15个走廊上评估了该系统,得出的准确度分别为92.6%和91.1%。有了这些令人鼓舞的结果,我们相信我们提出的解决方案是用户独立的,并且可以满足各种走廊的需求。

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