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| Content Provider | ACM Digital Library |
|---|---|
| Author | Adib, Fadel Katabi, Dina |
| Abstract | Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this paper, we show that Wi-Fi can also extend our senses, enabling us to see moving objects through walls and behind closed doors. In particular, we can use such signals to identify the number of people in a closed room and their relative locations. We can also identify simple gestures made behind a wall, and combine a sequence of gestures to communicate messages to a wireless receiver without carrying any transmitting device. The paper introduces two main innovations. First, it shows how one can use MIMO interference nulling to eliminate reflections off static objects and focus the receiver on a moving target. Second, it shows how one can track a human by treating the motion of a human body as an antenna array and tracking the resulting RF beam. We demonstrate the validity of our design by building it into USRP software radios and testing it in office buildings. |
| Starting Page | 75 |
| Ending Page | 86 |
| Page Count | 12 |
| File Format | |
| ISSN | 01464833 |
| DOI | 10.1145/2534169.2486039 |
| Journal | ACM SIGCOMM Computer Communication Review (CCRV) |
| Volume Number | 43 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1993-07-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wireless Gesture-based user interface Mimo Seeing through walls |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Software |
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