Skeleton-based Hand Gesture Recognition using Geometric Features and Spatio-Temporal Deep Learning Approach-Reference-Cited by-同舟云学术

Skeleton-based Hand Gesture Recognition using Geometric Features and Spatio-Temporal Deep Learning Approach

Published:2023-09-11 Issue: Volume: Page:
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Container-title:2023 11th European Workshop on Visual Information Processing (EUVIP)
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Author:

Musa Miah Abu Saleh¹,Shin Jungpil¹,Al Mehedi Hasan Md.²,Fujimoto Yusuke¹,Nobuyoshi Asai¹

Affiliation:

1. The University of Aizu,School of Computer Science and Engineering,Aizuwakamatsu,Japan,965-8580

2. Rajshahi University of Eng.& and Tech. (RUET),Department of Computer Science and Engineering,Rajshahi,Bangladesh,6204

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322878/10323033/10323034.pdf?arnumber=10323034

Reference36 articles.

1. Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks

2. MFA-Net: Motion Feature Augmented Network for Dynamic Hand Gesture Recognition from Skeletal Data

3. Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor

4. Spatial-temporal adaptive graph convolutional network for skeleton-based action recognition;hang;Proceedings of the Asian Conference on Computer Vision,2022

5. SHREC'17 track: 3d hand gesture recognition using a depth and skeletal dataset;de smedt;Eurographics Workshop on 3D Object Retrieval,2017

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1. Dynamic Hand Gesture Recognition Using Effective Feature Extraction and Attention Based Deep Neural Network.;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

2. Dynamic Korean Sign Language Recognition Using Pose Estimation Based and Attention-Based Neural Network;IEEE Access;2023