Artificial Intelligence and Virtual Reality: New Experiments at Purdue University

Researchers at Purdue University are approaching virtual reality with a concept that uses powerful learning algorithms from a “deep learning” software that they are calling DeepHand. Specifically, the research team is addressing the problem of accurate hand tracking in virtual reality and augmented reality and proposing an interesting solution involving neural networks and a multitude of 3D sensors. The thought process behind this experiment makes sense given the increasing importance of powerful and accurate hand tracking in augmented reality and human-computer interfaces. DeepHand learning about the multitude of hand poses to create better interplay in augmented reality. (Video courtesy of Purdue University). In both augmented reality and virtual reality, better hand tracking means a better user experience. In real life, hand movements are something that we generally take…


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