The technology works by detecting "reflections" created by the signals when they touch other objects, such as human bodies.
By analysing the different characteristics of the "reflections", such as height and build, it can distinguish between 15 different people with 90% accuracy.
Researchers plan to use the device to monitor elderly people, with the intention of detecting and preventing falls and injury in the home.
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