We Can Hear You with Wi-Fi!
We Can Hear You with Wi-Fi!
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DOI：
10.1109/tmc.2016.2517630
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发表时间：
2016-11-01
影响因子：
7.9
通讯作者：
Ni, Lionel M.
中科院分区：
文献类型：
--
作者：
Wang, Guanhua;Zou, Yongpan;Ni, Lionel M.
最近的文献将Wi-Fi信号推进到“看到”人们的动作和位置。本文提出了以下问题：Wi-Fi能“听到”我们的谈话吗？我们提出WiHear，它使Wi-Fi信号能够“听到”我们的谈话，而无需部署任何设备。为了实现这一点，WiHear需要检测和分析来自嘴部运动的细粒度无线电反射。WiHear通过引入利用部分多径效应和小波包变换的口腔运动轮廓来解决这种微运动检测问题。由于Wi-Fi信号不需要视线，WiHear可以“听到”无线电范围内的人说话。此外，WiHear可以利用MIMO技术同时“听到”多个人的谈话。我们在USRP N210平台和商业Wi-Fi基础设施上实施WiHear。结果表明，在我们预定义的词汇表中，WiHear可以在单个人说话不超过六个单词的情况下达到平均91%的检测准确率，在不超过三个人同时说话的情况下达到74%。此外，可以通过从不同角度部署多个接收器来进一步提高检测精度。
Recent literature advances Wi-Fi signals to "see" people's motions and locations. This paper asks the following question: Can Wi-Fi "hear" our talks? We present WiHear, which enables Wi-Fi signals to "hear" our talks without deploying any devices. To achieve this, WiHear needs to detect and analyze fine-grained radio reflections from mouth movements. WiHear solves this micromovement detection problem by introducing Mouth Motion Profile that leverages partial multipath effects and wavelet packet transformation. Since Wi-Fi signals do not require line-of-sight, WiHear can "hear" people talks within the radio range. Further, WiHear can simultaneously "hear" multiple people's talks leveraging MIMO technology. We implement WiHear on both USRP N210 platform and commercial Wi-Fi infrastructure. Results show that within our pre-defined vocabulary, WiHear can achieve detection accuracy of 91 percent on average for single individual speaking no more than six words and up to 74 percent for no more than three people talking simultaneously. Moreover, the detection accuracy can be further improved by deploying multiple receivers from different angles.