author = {Nguyen, Xuan Son and Luc Brun and Olivier Lezoray and Sébastien Bougleux}, title = {Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks}, booktitle = {Proceedings of the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)}, year = 2019, organization = {IEEE}, theme="pattern", url={HAL:= https://hal.archives-ouvertes.fr/hal-02133684}, abstract=" In this paper, we propose a new hand gesture recognition method based on skeletal data by learning SPD matrices with neural networks. We model the hand skeleton as a graph and introduce a neural network for SPD matrix learning, taking as input the 3D coordinates of hand joints. The proposed network is based on two newly designed layers that transform a set of SPD matrices into a SPD matrix. For gesture recognition, we train a linear SVM classifier using features extracted from our network. Experimental results on a challenging dataset (Dynamic Hand Gesture dataset from the SHREC 2017 3D Shape Retrieval Contest) show that the proposed method outperforms state-of-the-art methods"