Deep Learning for Hand Gesture Recognition on Skeletal Data

IEEE FG 2018 2018 Guillaume DevineauWang XiJie YangFabien Moutarde

In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model. We introduce a new Convolutional Neural Network (CNN) where sequences of hand-skeletal joints’ positions are processed by parallel convolutions; we then investigate the performance of this model on hand gesture sequence classification tasks... (read more)


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