Oculus Buys Pepple

Facebook’s Oculus unit announcd that it has agreed to acquire Israeli gesture recognition technology developer Pebbles Interfaces for an undisclosed amount.

The announcement was made in a blog posted by Oculus.

Israel’s Calcalist financial news website said the deal was worth tens of millions of dollars.

While other companies pioneering the virtual reality field focus on full-body movement, Pebbles’ technology detects and tracks hand movement. It is aimed primarily at gamers but also has applications for TV, computers, or smartphone operation while driving.

Recently Pebbles integrated its technology with Oculus glasses, which translate finger gestures into virtual movement through a camera mounted on the glass frame, Calcalist said.

Investors in Pebbles include Chinese mobile phone maker Xiaomi, Israeli venture capital fund Giza and U.S. storage firm SanDisk, Calcalist said.

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Scientist Develop Anti-Faking PC

Scientists have developed a computer system with sophisticated pattern recognition abilities that performed more impressively than humans in differentiating between people experiencing genuine pain and people who were just pretending.

In a study published in the journal Current Biology, human subjects did no better than chance – about 50 percent – in correctly judging if a person was feigning pain after seeing videos in which some people were and some were not.

The computer was right 85 percent of the time. Why? The researchers say its pattern-recognition abilities successfully spotted distinctive aspects of facial expressions, particularly involving mouth movements, that people generally missed.

“We all know that computers are good at logic processes and they’ve long out-performed humans on things like playing chess,” said Marian Bartlett of the Institute for Neural Computation at the University of California-San Diego, one of the researchers.

“But in perceptual processes, computers lag far behind humans and have a lot of trouble with perceptual processes that humans tend to find easy, including speech recognition and visual recognition. Here’s an example of a perceptual process that the computer is able to do better than human observers,” Bartlett said in a telephone interview.

For the experiment, 25 volunteers each recorded two videos.

In the first, each of the volunteers immersed an arm in lukewarm water for a minute and were told to try to fool an expert into thinking they were in pain. In the second, the volunteers immersed an arm in a bucket of frigid ice water for a minute, a genuinely painful experience, and were given no instructions on what to do with their facial expressions.

The researchers asked 170 other volunteers to assess which people were in real discomfort and which were faking it.

After they registered a 50 percent accuracy rate, which is no better than a coin flip, the researchers gave the volunteers training in recognizing when someone was faking pain. Even after this, the volunteers managed an accuracy rate of only 55 percent.

The computer’s vision system included a video camera that took images of a person’s facial expressions and decoded them. The computer had been programmed to recognize that one kind of facial movement combinations suggested true pain and another kind suggested faked pain.

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