Multiple People Identification Through Walls Using Off-the-Shelf WiFi
Multiple People Identification Through Walls Using Off-the-Shelf WiFi
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DOI：
10.1109/jiot.2020.3037945
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发表时间：
2021-04
影响因子：
10.6
通讯作者：
Belal Korany;H. Cai;Yasamin Mostofi
中科院分区：
文献类型：
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作者：
Belal Korany;H. Cai;Yasamin Mostofi
在这篇文章中，我们感兴趣的是通过墙壁的步态识别多个人谁是同时在一个区域行走，只使用少量的收发器的WiFi幅度测量。这是一个相当具有挑战性的问题，因为行走的人的步态特征在WiFi测量中混合在一起。为了解决这个问题，我们提出了一种新的多维框架，跨越时间，频率和空间域，可以分离从每个行走的人反射的信号，并提取其相应的步态内容，以识别多个人通过墙壁。据我们所知，这是WiFi信号第一次可以识别一个区域中的多个人。我们在四个不同的区域进行了92次测试实验，广泛验证了我们提出的系统，其中WiFi收发器被放置在墙后，并且有两个或三个人（从六个测试对象中随机选择）在该区域行走。基于6404个查询候选测试对，我们的系统在正确识别测试实验（称为查询）中行走的人是否与候选人相同方面实现了82%的总体平均准确率。值得注意的是，在培训阶段没有看到任何测试科目/领域。
In this article, we are interested in through-wall gait-based identification of multiple people who are simultaneously walking in an area, using only the WiFi magnitude measurements of a small number of transceivers. This is a considerably challenging problem as the gait signatures of the walking people are mixed up in the WiFi measurements. In order to solve this problem, we propose a novel multidimensional framework, spanning time, frequency, and space domains, that can separate the signal reflected from each walking person and extract its corresponding gait content, in order to identify multiple people through walls. To the best of our knowledge, this is the first time that WiFi signals can identify multiple people in an area. We extensively validate our proposed system with 92 test experiments conducted in four different areas, where the WiFi transceivers are placed behind walls, and where two or three people (randomly selected from a pool of six test subjects) are walking in the area. Our system achieves an overall average accuracy of 82% in correctly identifying whether a person walking in the test experiment (referred to as a query) is the same as a candidate person, based on 6404 query-candidate test pairs. It is noteworthy that none of the test subjects/areas has been seen in the training phase.