Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/630805
Title: We Can Hear You with Wi-Fi!
Authors: Guanhua Wang;Yongpan Zou;Zimu Zhou;Kaishun Wu;Lionel M. Ni
subject: moving pattern recognition|Wi-Fi radar|interference cancelation|micro-motion detection
Year: 2016
Publisher: IEEE
Abstract: 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 micro-movement 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.
Description: 
URI: http://localhost/handle/Hannan/182490
http://localhost/handle/Hannan/630805
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

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Title: We Can Hear You with Wi-Fi!
Authors: Guanhua Wang;Yongpan Zou;Zimu Zhou;Kaishun Wu;Lionel M. Ni
subject: moving pattern recognition|Wi-Fi radar|interference cancelation|micro-motion detection
Year: 2016
Publisher: IEEE
Abstract: 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 micro-movement 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.
Description: 
URI: http://localhost/handle/Hannan/182490
http://localhost/handle/Hannan/630805
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7384744.pdf2.06 MBAdobe PDFThumbnail
Preview File
Title: We Can Hear You with Wi-Fi!
Authors: Guanhua Wang;Yongpan Zou;Zimu Zhou;Kaishun Wu;Lionel M. Ni
subject: moving pattern recognition|Wi-Fi radar|interference cancelation|micro-motion detection
Year: 2016
Publisher: IEEE
Abstract: 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 micro-movement 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.
Description: 
URI: http://localhost/handle/Hannan/182490
http://localhost/handle/Hannan/630805
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7384744.pdf2.06 MBAdobe PDFThumbnail
Preview File