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RFID Indoor Localization Using Statistical Features
Cybernetics and Systems ( IF 1.1 ) Pub Date : 2021-06-30 , DOI: 10.1080/01969722.2021.1932868
Frédéric Bergeron 1 , Kevin Bouchard 2 , Sebastien Gaboury 2 , Sylvain Giroux 1
Affiliation  

Abstract

In this paper, we present a method that uses the signal strength indication of RFID antennas with statistical features to perform relative positioning in a smart home. The goal of the proposed method is to enable the tracking of most objects inside a smart home in real-time, allowing activity recognition based on this tracking. This paper also introduce a new dataset of 4 100 000 RFID data collected in a real full-scale smart home setting. The dataset is available for the community. The method has an accuracy of 95.5% which is similar to previous work but require a fifth of the time to compute.



中文翻译:

使用统计特征的 RFID 室内定位

摘要

在本文中,我们提出了一种利用具有统计特征的 RFID 天线的信号强度指示在智能家居中进行相对定位的方法。所提出方法的目标是能够实时跟踪智能家居内的大多数对象,从而允许基于此跟踪进行活动识别。本文还介绍了在真实的全尺寸智能家居环境中收集的 4 100 000 个 RFID 数据的新数据集。该数据集可供社区使用。该方法的准确率为 95.5%,与之前的工作相似,但需要五分之一的时间来计算。

更新日期:2021-06-30
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