Therefore, the acquisition is estimated to return investors a sum of more than $16 million.

Patrick Moorhead, an analyst with Moor Insights & Strategy, said he’s intrigued by the Pebbles purchase because the company is known to have some strong gesture-control technology. The technology claims to have zero latency, which could be a huge boost to the American VR company’s Virtual Reality headset expected to launch next year. “At the forefront of that shift is Oculus, and joining Oculus will help advance our vision building immersive experiences and revolutionizing digital human interaction”.

This is definitely an acqui-hire move as the Pebbles Interfaces employees will join the hardware engineering and computer vision teams at Oculus “to help advance virtual reality, tracking, and human-computer interactions”. Click to get this free report >>. In December, Oculus VR acquired Nimble VR, a company that transfers real-life skeletal movement into VR.

The acquisition of Pebbles was made through Facebook’s subsidiary Oculus VR. Up until now, various gesture-identification technologies that are competing with one another did not show users’ hands or arms at all, neither used standard digitally-generated versions.

In a statement on its Web site, Pebbles Interfaces said it has – over the course of its brief history – “seen virtual reality make huge strides, changing the way people interact with one another”. This means it needs ways for users to simulate their bodies in the VR world.

In May this year, Oculus also acquired computer vision team Surreal Vision, a three-man team focused on real-time 3D scene reconstruction.

Last month, over in LA at the E3 gaming expo, the consumer edition of the Oculus Rift was shown off for the first time, complete with its new Touch controller setup. This information has not been confirmed by Facebook, and other details of the deal have not been divulged.

While they didn’t specify what Pebbles will do for the company, Oculus posted a video on their blog a video of Oculus with the ability of real-time hand-tracking movement.