· 2016
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
- 679citations
- 2016year
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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Sign in on the web to openField: Human-Computer Interaction
Human-Computer InteractionComputer Science