WiFi signals identify walkers from their gait

Researchers in the US have used WiFi signals to detect the gait of people through walls and match it to video footage in order to identify individuals.  

According to those behind the technology, known as XModal-ID, it could potentially be used to identify criminals inside buildings where pre-existing video footage of the suspects is available. It works by measuring the way a person’s gait interferes with the signal from two WiFi transceivers. This signal is then compared to a simulated signal extracted and translated from pre-existing video footage.

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"Our proposed approach makes it possible to determine if the person behind the wall is the same as the one in video footage, using only a pair of off-the-shelf WiFi transceivers outside," said research lead Yasamin Mostofi, professor of electrical and computer engineering at the University of California, Santa Barbara.

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