We can hear you with Wi-Fi!
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | MobiCom 2014 - Proceedings of the 20th Annual |
| Publisher | Association for Computing Machinery |
| Pages | 593-604 |
| ISBN (print) | 9781450327831 |
| Publication status | Published - 7 Sept 2014 |
| Externally published | Yes |
Publication series
| Name | Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM |
|---|
Conference
| Title | 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 |
|---|---|
| Place | United States |
| City | Maui |
| Period | 7 - 11 September 2014 |
Link(s)
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% on average for single individual speaking no more than 6 words and up to 74% for no more than 3 people talking simultaneously. Moreover, the detection accuracy can be further improved by deploying multiple receivers from different angles. Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).
Research Area(s)
- Interference cancelation, Micro-motion detection, Moving pattern recognition, Wi-Fi radar
Bibliographic Note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
Citation Format(s)
We can hear you with Wi-Fi! / Wang, Guanhua; Zou, Yongpan; Zhou, Zimu et al.
MobiCom 2014 - Proceedings of the 20th Annual. Association for Computing Machinery, 2014. p. 593-604 (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).
MobiCom 2014 - Proceedings of the 20th Annual. Association for Computing Machinery, 2014. p. 593-604 (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
