GravitySpace is a Flooring Idea for Every Revolutionary Futuristic Home

January 28, 2013, By Sanjeev Ramachandran

Gadgets are becoming a way of life and now it has grown from handheld devices to things that have eased up human lives both in a fun way as well as in an intellectual way. One such example is the Smart Floor.

Yes, they are the mighty gadgets that could soon be part of our smart homes. Scientists in Germany have developed a high-resolution pressure-sensitive floor that can accurately keep track of people and furniture in rooms. Dubbed “Gravity Space,” the floor can detect poses, movements and collisions and create a mirror-like inverse projection of the goings-on above.

The technology could have a wide range of applications ranging from home security and automation to interactive gaming. So in short, GravitySpace recognizes people and objects based on the pressure imprints they leave on the floor.

GravitySpace is a Flooring Idea for Every Revolutionary Futuristic Home

The team from the Hasso Plattner Institute in Potsdam have created an eight square meter back-projected floor prototype, a set of touch-sensitive furniture and algorithms that identify users, furniture and poses above the ground based on their textures. The photos of this technology looks absolutely stunning and a little bit of futuristic at this point of time.

The smart floor uses what the researchers call a multitoe infrastructure, which relies on per-pixel pressure to enable the floor to locate and analyze users’ soles and recognize foot positions. The company that truly identified the potential of smart floors is IBM.

They indeed have patented a multi-touch smart floor that can detect home intruders or call emergency services like 911 when someone has fallen down or suffered a heart attack.

The Hasso Plattner Institute team members are Alan Branzel, Daniel Hoffmann, Marius Knaust, Patrick Lühne, René Meusel, and Stephan Richter, supervised by Christian Holz, Dominik Schmidt, and Patrick Baudisch at the Human Computer Interaction Lab.

The project was developed in collaboration with Shahram Izadi, Steve Hodges, and Scarlet Schwiderski-Grosche at Microsoft Research in Cambridge, UK.

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