SPD Siamese Neural Network for Skeleton-based Hand Gesture Recognition

Mohamed Sanim Akremi; Rim Slama; Hedi Tabia

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Paper

SPD Siamese Neural Network for Skeleton-based Hand Gesture Recognition

Topics: 3D Deep Learning; Event and Human Activity Recognition; Segmentation and Grouping

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 394-402, 2022

Authors: Mohamed Sanim Akremi ¹ ; Rim Slama ² and Hedi Tabia ¹

Affiliations: ¹ Paris Saclay University, IBISC, Univ Evry, Evry, France ; ² LINEACT Laboratory, CESI Lyon, France

Keyword(s): SPD Learning Model, Siamese Network, Deep Learning, Hand Gesture Recognition, Skeletal Data.

Abstract: This article proposes a new learning method for hand gesture recognition from 3D hand skeleton sequences. We introduce a new deep learning method based on a Siamese network of Symmetric Positive Definite (SPD) matrices. We also propose to use the Contrastive Loss to improve the discriminative power of the network. Experimental results are conducted on the challenging Dynamic Hand Gesture (DHG) dataset. We compared our method to other published approaches on this dataset and we obtained the highest performances with up to 95,60% classification accuracy on 14 gestures and 94.05% on 28 gestures.

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Paper citation in several formats:

Akremi, M.; Slama, R. and Tabia, H. (2022). SPD Siamese Neural Network for Skeleton-based Hand Gesture Recognition. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 394-402. DOI: 10.5220/0010822500003124

@conference{visapp22,
author={Mohamed Sanim Akremi. and Rim Slama. and Hedi Tabia.},
title={SPD Siamese Neural Network for Skeleton-based Hand Gesture Recognition},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={394-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010822500003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - SPD Siamese Neural Network for Skeleton-based Hand Gesture Recognition
SN - 978-989-758-555-5
IS - 2184-4321
AU - Akremi, M.
AU - Slama, R.
AU - Tabia, H.
PY - 2022
SP - 394
EP - 402
DO - 10.5220/0010822500003124
PB - SciTePress