Researchers at the University of California at Santa Barbara have invented a new way to allow them to recognize people behind a wall, using wireless WiFi transceivers and analyzing their walking.
This new method, called XModal-ID (pronounced Cross-Modal-ID), was developed by Yasamin Mostofi and her team and offers the ability to identify a person behind a wall if the same person has previously been recorded in video. And all this is done with the exclusive use of WiFi signals.
How does it work;
The researchers then try to simulate the radio signals that would have been created if the person had been walking in a WiFi-covered area by approaching electromagnetic waves.
They then try to match the person's walk by comparing the spectra generated by the real-time WiFi signals and the video in which they are recorded.
According to the researchers, at document published, this technique does not require training one systemic in face recognition, or knowledge of the environment. The process only needs regular WiFi transceivers to work.
The tests carried out by them researchers, had an accuracy of between 82% and 89%, which makes the technique quite effective. The team says it will be particularly helpful to authorities in identifying suspects when investigating a crime.
There have been more trials in the past
This is not the first time researchers have developed a way of recognizing people through walls. 2015 its researchers WITH, developed an RF receiver that could recognize human silhouettes behind a wall, using human body reflections.
Researchers at the Technical University of Munich (TUM) also developed 2017, a method for creating 3D images of the environment using Wi-Fi signals. And last year, a team of researchers from MIT developed an AI for the same purpose.
So it's becoming clear that researchers around the world are trying to exploit the capabilities of WiFi to identify people behind walls. At the same time, of course, there are also many question marks arising from such privacy techniques, since we all have a WiFi connection. router in our house.
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