Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion-Reference-Cited by-同舟云学术

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Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion

Published:2022-10-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
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Author:

Okano Masaya¹,Liu Jia-Qing¹,Tateyama Tomoko²,Iwamoto Yutaro³,Chen Yen-Wei⁴

Affiliation:

1. Ritsumeikan University,Graduate School of Information and Engineering,Shiga,Japan

2. Ritsumeikan University,College of Information Science and Engineering

3. Fujita Health University,School of Medical Sciences,Department of Intelligent Information Engineering Research Promotion Unit

4. Osaka Electro-Communication University,Faculty of Information and Communication Engineering,Department of Engineering Informatics

Funder

Ritsumeikan University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013950/10014027/10014261.pdf?arnumber=10014261

Reference8 articles.

1. Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images;furusawa;Proc ICNC-FSKD 2019,2019

2. MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations

3. Accurate Gesture Recognition Using RGB-D Images;furusawa;Kansai-section Joint Convention of Institutes of Electrical Engineering,2021

4. Single Image Depth Map Estimation for Improving Posture Recognition

5. OUHANDS database for hand detection and pose recognition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 2MLMD: Multi-modal Leap Motion Dataset for Home Automation Hand Gesture Recognition Systems;Arabian Journal for Science and Engineering;2024-08-16

2. DHGD: Dynamic Hand Gesture Dataset for Skeleton-Based Gesture Recognition and Baseline Evaluations;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

3. Application of Attention Mechanism-Based Dual-Modality SSD in RGB-D Hand Detection;2023 42nd Chinese Control Conference (CCC);2023-07-24

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