@InProceedings{CI-Son-2019,


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"

 }