Identifying People Using Wi-Fi Routers
Not identifying people based on their use of Wi-Fi routers, but identifying people using Wi-Fi signals.
This is accomplished through what is known as WiFi sensing, or the use of WiFi signals to infer information about a physical environment. When radio signals like WiFi travel through a space, they interact with the objects and people around them. Those signals can be reflected, scattered, or absorbed. By analyzing how the signal is expected to behave compared with how it is actually received, researchers can infer details about the surrounding environment.
“By observing the propagation of radio waves, we can create an image of the surroundings and of persons who are present,” said Thorsten Strufe, a KIT professor and study co-author, in a press release. “This works similar to a normal camera, the difference being that in our case, radio waves instead of light waves are used for the recognition.”
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Clive Robinson • May 26, 2026 12:31 PM
@ ALL,
Sensing people and how they move with any EM signal above a couple of GHz is not exactly new.
Back in the 1980’s when involved with Pirate Radio, we realised that the UK Authorities (still Home Office back then) when trying to “direction find” the studio link gave away the fact they were in the area due to the way the DF antenna was rotated thus some stations would just “switch studio”.
The problem with getting an “image” has always been “resolution”.
In theory you can work to about 1/16th of a wavelength so 2.5GHz WiFi has a wavelength of 300/2500 meters or 12cm so the resolution is at best a little less than 1cm quite close in (ie a couple of meters).
To give you an idea of how bad that is the average human eye can see 1mm at 2000mm… Some people like Australian Aboriginals are known to have a lot better vision.
Yes there are tricks you can do that effectively use multiple paths but things start getting a little interesting.