By testing different human subjects and using metrics such as height and body shape to create concrete "silhouette fingerprints" for each person, researchers can use wireless reflections to differentiate between individuals from the other side of wall. A team of researchers at MIT's Computer Science and Artificial Intelligence Lab has long believed that wireless signals like WiFi can be used to see things that are invisible to the naked eye.