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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Main Authors: Adib, Fadel, Katabi, Dina
Other Authors: Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2020
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.
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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
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