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· 2016

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim et al.

Short summary

A recurrent 3D convolutional neural network (R3D-CNN) achieves 83.8% accuracy in simultaneously detecting and classifying dynamic hand gestures online, outperforming prior methods and approaching human accuracy (88.4%).

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Field: Human-Computer Interaction

Human-Computer InteractionComputer Science