A team of researchers at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has long believed that wireless signals like WiFi can be used to see things that are invisible to the naked eye.

Since 2013, CSAIL researchers have been developing technologies that use wireless signals to track human motion. The team has shown that it can detect gestures and body movements as subtle as the rise and fall of a person’s chest from the other side of a house, allowing a mother to monitor a baby’s breathing or a firefighter to determine if there are survivors inside a burning building.

Next up? Seeing a person’s silhouette and even distinguishing between individuals. In a paper accepted to the SIGGRAPH Asia conference taking place next month, the team presents a new technology called RF Capture that picks up wireless reflections off the human body to see the silhouette of a human standing behind a wall.

By tracking the silhouette, the device can trace a person’s hand as he writes in the air and even distinguish between 15 different people through a wall with nearly 90 percent accuracy.

In other words, from the opposite side of a building, RF Capture can determine where you are, who you are, and even which hand you are moving.

Sourced through Scoop.it from: phys.org

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Visitors can climb to the top of this pavilion in the Jardin des Tuileries, which is made up of a complex lattice of identical timber beams.

Designed by Kengo Kuma & Associates for Galerie Phillipe Gravier, the structure is based on small nomadic shelters, and has been assembled using techniques typical of traditional Japanese carpentry.

“The pavilion consists of identical wooden pieces that have been stacked, twisted and assembled to create a poetic dynamic volume,” said Kuma. “It offers an organic geometry by a geometric composition of wood.”

Sourced through Scoop.it from: www.dezeen.com

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