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Researchers from Tokyo Institute of Technology, Carnegie Mellon University, the University of St. Andrews, and the University of New South Wales have developed a wrist-worn device that is able to estimate 3D hand poses for virtual reality applications.
The system is the first of its kind to estimate 3D hand poses using a camera focusing on the back of the hand. Courtesy of ACM, UIST.
The system consists of a camera that images the back of the hand and that is supported by a neural network called DorsalNet. The network is able to accurately recognize dynamic gestures, helping the device capture hand motions in mobile settings. According to the researchers, the system outperforms previous attempts at similar devices, with an average of…