#deephand

DeepHand Tool for Virtual and Augmented Reality Uses ‘Deep Learning’ to Model Our Hand’s Endless Variety

Computer and VR Researchers at Purdue University have gone deep into the hand’s near endless complexity to bring us DeepHand, the next generation of virtual manual systems. These photos show DeepHand, developed by researchers at Purdue University’s C Design Lab. It is capable of ‘deep learning’ to understand the hand’s joint angles and contortions, an advance that will be needed for future…

Researchers develop accurate hand recognition in VR using 'deep learning'

Headsets may be one of the main features of virtual and augmented reality, but your hands play quite a big role too.

That’s why Purdue University researchers have developed a new system, DeepHand, that uses deep learning to represent the human hand in VR, understanding its complex joint angles and contortions in real time.

The researchers behind the project say there will be a need for improved hand recognition for computer systems that allow people to interact with virtual environments in future virtual and augmented reality.

DeepHand uses a depth-sensing camera to capture the user’s hand and specialised algorithms then interpret hand motions.

“It’s called a spatial user interface because you are interfacing with the computer in space instead of on a touch screen or keyboard,” Dr Karthik Ramani of the School of Mechanical engineering says.