See through walls with WiFi!
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 c...
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Format: | Article |
Language: | English |
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Association for Computing Machinery (ACM)
2020
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Online Access: | https://hdl.handle.net/1721.1/125279 |
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author | Adib, Fadel Katabi, Dina |
author2 | Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
author_facet | Program in Media Arts and Sciences (Massachusetts Institute of Technology) Adib, Fadel Katabi, Dina |
author_sort | Adib, Fadel |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T13:53:23Z |
format | Article |
id | mit-1721.1/125279 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T13:53:23Z |
publishDate | 2020 |
publisher | Association for Computing Machinery (ACM) |
record_format | dspace |
spelling | mit-1721.1/1252792022-10-01T17:47:53Z See through walls with WiFi! Adib, Fadel Katabi, Dina Program in Media Arts and Sciences (Massachusetts Institute of Technology) 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. 2020-05-15T21:53:33Z 2020-05-15T21:53:33Z 2013-08 2019-06-06T16:10:26Z Article http://purl.org/eprint/type/ConferencePaper 0146-4833 https://hdl.handle.net/1721.1/125279 Adib, Fadel and Dina Katabi. "See through walls with WiFi!" ACM SIGCOMM Computer Communication Review 43, 4 (August 2013): 75-86 en http://dx.doi.org/10.1145/2534169.2486039 ACM SIGCOMM Computer Communication Review Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
spellingShingle | Adib, Fadel Katabi, Dina See through walls with WiFi! |
title | See through walls with WiFi! |
title_full | See through walls with WiFi! |
title_fullStr | See through walls with WiFi! |
title_full_unstemmed | See through walls with WiFi! |
title_short | See through walls with WiFi! |
title_sort | see through walls with wifi |
url | https://hdl.handle.net/1721.1/125279 |
work_keys_str_mv | AT adibfadel seethroughwallswithwifi AT katabidina seethroughwallswithwifi |