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XTouch turns any surface into touch-enabled controls for iOS apps

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XTouch Commercial/Proof of Concept – make every surface tap sensitive from Vladimir Druts on Vimeo.

XTouch, an SDK created by a group at the University of Toronto’s Mobile Applications Lab and funded by JOLT, turns any surface into a touch-sensitive controller for iOS apps with no additional hardware. Since XTouch uses acoustics and vibrations to recognize taps on a surrounding surface, the only requirement is that your iPhone or iPad is placed on the same surface you want to use as a touchpad. An SDK is coming soon that will allow developers to think up many interesting implementations, but for now the company has released two apps that show off what XTouch is capable of.
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Watch the iPhone’s accelerometer pick up keystrokes from an invisible keyboard (Video)

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A student at Goldsmiths, University of London has apparently been able to create an invisible, virtual keyboard for iPhones by using the device’s built-in accelerometer to pick up vibrations caused by tapping or typing on a surrounding surface area. As you can see from the video demonstration above, the “Virbrative” software developed by Florian Kraeutli (on a jailbroken iPhone 4) allows him to measure the strength and frequency of vibrations and then map them to iOS’ onscreen keyboard. The Telegraph spoke with Kraeutli about the software developed for a project on user interfaces:

“The signals I’m collecting are very weak,” said Florian Kraeutli, a computing student at Goldsmiths, who created the system as part of his work on user interfaces.“At the moment it’s more of a proof of concept but if you made the accelerometer more sensitive you could improve the accuracy quite easily.”

In the video above, we see the developer use a keyboard drawn on a piece of paper to train the system before tapping directly on the table underneath. Kraeutli noted users would ideally “train each key, but you can do just a couple.” According The Telegraph, the system “determines the intended key correctly about 80 per cent of the time, so the data is also fed into an auto correct dictionary to ensure the words are spelled correctly.” Kraeutli suggested that access to more powerful accelerometers could allow him to increase the accuracy of the system:
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