The algorithm is smart enough to discriminate between two closely resembling activities — sitting and falling, says Moeness Amin, an engineering professor at Villanova University in Pennsylvania who is working on developing the system. Designed primarily for people living alone, the system makes use of radar units that can fit in a hand. Each limb in your body, your head and your torso, reflects a frequency that is different from that one that was sent, Amin says. And those changes are the markers that we can use to classify the type of motion. Amin and his team of researchers can therefore tell the difference between a person who is sitting down and someone who has fallen down with a cane in hand.
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