WiFi-ID: Human Identification Using WiFi Signal
WiFi-ID: Human Identification Using WiFi Signal
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DOI：
10.1109/dcoss.2016.30
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Jin Zhang;Bo Wei;Wen Hu;S. Kanhere
中科院分区：
文献类型：
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作者：
Jin Zhang;Bo Wei;Wen Hu;S. Kanhere
先前的研究已经显示了无设备WiFi传感用于人类活动识别的潜力。在本文中，我们首次展示了WiFi信号也可以用来唯一识别人。有强有力的证据表明，所有人类都有独特的步态。因此，个人的步态将在WiFi频谱中产生独特的扰动。我们提出了一种称为WiFi-ID的系统，该系统分析信道状态信息，以提取代表该个人的行走风格的独特特征，从而使我们能够唯一地识别该人。我们在商用现成设备上实现WiFi-ID。我们进行了大量的实验，以证明我们的系统可以唯一地识别人，平均准确率为93%至77%，从一组2至6人，分别。我们设想这项技术可以在小型办公室或智能家居环境中找到许多应用。
Prior research has shown the potential of device-free WiFi sensing for human activity recognition. In this paper, we show for the first time WiFi signals can also be used to uniquely identify people. There is strong evidence that suggests that all humans have a unique gait. An individual's gait will thus create unique perturbations in the WiFi spectrum. We propose a system called WiFi-ID that analyses the channel state information to extract unique features that are representative of the walking style of that individual and thus allow us to uniquely identify that person. We implement WiFi-ID on commercial off-the-shelf devices. We conduct extensive experiments to demonstrate that our system can uniquely identify people with average accuracy of 93% to 77% from a group of 2 to 6 people, respectively. We envisage that this technology can find many applications in small office or smart home settings.