FreeSense: Indoor Human Identification with Wi-Fi Signals
FreeSense: Indoor Human Identification with Wi-Fi Signals
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DOI：
10.1109/glocom.2016.7841847
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发表时间：
2016-08
期刊：
影响因子：
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通讯作者：
Tong Xin;Bin Guo;Zhu Wang;Mingyang Li;Zhiwen Yu
中科院分区：
文献类型：
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作者：
Tong Xin;Bin Guo;Zhu Wang;Mingyang Li;Zhiwen Yu
摘要身份识别在人机交互中起着重要的作用。已经提出了许多用于人类识别的方法（例如，面部识别、步态识别、指纹识别等）。虽然这些方法在不同条件下可能非常有用，但它们也存在某些缺点（例如，用户隐私、感测覆盖范围）。在本文中，我们提出了一种新的人体识别方法，该方法利用Wi-Fi信号在家庭环境中实现非侵入式人体识别。这是基于观察到每个人在室内移动时对周围Wi-Fi信号具有特定的影响模式，这与他们的身体形状特征和运动模式有关。该影响可以通过Wi-Fi的信道状态信息（CSI）时间序列来捕获。具体地，主成分分析（PCA）、离散小波变换（DWT）和动态时间规整（DTW）技术的组合用于基于CSI波形的人体识别。我们在一个6 m * 5 m的智能家居环境中实现了该系统，并招募了9名用户进行数据收集和评估。实验结果表明，当候选用户集从6个变为2个时，识别准确率为88.9%~ 94.5%，表明该方法在家庭环境中是有效的。
Abstract-Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recognition, fingerprint identification, etc.). While these methods could be very useful under different conditions, they also suffer from certain shortcomings (e.g., user privacy, sensing coverage range). In this paper, we propose a novel approach for human identification, which leverages Wi-Fi signals to enable non-intrusive human identification in domestic environments. It is based on the observation that each person has specific influence patterns to the surrounding Wi-Fi signal while moving indoors, regarding their body shape characteristics and motion patterns. The influence can be captured by the Channel State Information (CSI) time series of Wi-Fi. Specifically, a combination of Principal Component Analysis (PCA), Discrete Wavelet Transform (DWT) and Dynamic Time Warping (DTW) techniques is used for CSI waveform- based human identification. We implemented the system in a 6m*5m smart home environment and recruited 9 users for data collection and evaluation. Experimental results indicate that the identification accuracy is about 88.9% to 94.5% when the candidate user set changes from 6 to 2, showing that the proposed human identification method is effective in domestic environments.