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Miniscule Moition Tracker Perception Neuron Hits Kickstarter

Plenty of proposed input devices for virtual reality (VR) experiences have made the rounds with a Kickstarter campaign over the course of 2014. Some have seen huge success while others have failed to make much impact. Project Perception Neuron from a team in China seems to be well on its way to becoming one of the more successful campaigns, with a miniaturised motion tracking solution that could prove to be an essential VR input solution.


Perception Neuron is an adaptive motion tracking system that follows a series of tiny trackers known as Neurons, which are fitted with gyroscopes, accelerometers, magnetometers and more for accurate tracking. Several of these Neurons can be strapped around the body for a variety of uses including input for VR videogames. The concept is similar in a sense to YEI Technology’s PrioVR full-body motion suit though Perception Neuron offers a more flexible approach, following anywhere between one and 30 sensors at a time.

Crucially, the technology supports the Oculus Rift VR head-mounted displays (HMD) software development kit (SDK) meaning developers should be able to easily integrate it into their titles. It’s easy to see how this kind of technology could work in a VR experience, with Neurons even capable of tracking individual finger movements with a sensor strapped to each. It’s possible to record full body motions using the system.

Perception Neuron has already made a lot of ground with its Kickstarter campaign, which hopes to raise $250,000 USD. At the time of writing the project has made nearly $160,000 with three weeks to go before it closes on Saturday 13th September 2014. While cheaper reward tiers have already been used up, those interested can currently pledge $200 to secure a 10-Neuron package. Interestingly, a special tier for those that backed the Oculus Rift on Kickstarter offers 30 Neurons for $375.

VRFocus will continue to follow Perception Neuron going forward, reporting back with any further updates.

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