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An Efficient Graph Convolution Network for Skeleton-Based Dynamic Hand Gesture Recognition

  • Published:2023-12 Issue:4 Volume:15 Page:2179-2189
  • ISSN:2379-8920
  • Container-title:IEEE Transactions on Cognitive and Developmental Systems
  • language:
  • Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Peng Sheng-Hui1,Tsai Pei-Hsuan1ORCID

Affiliation:

1. Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan

Funder

Ministry of Science and Technology of Taiwan

Higher Education Sprout Project, Ministry of Education to the Headquarters of University Advancement, National Cheng Kung University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Cited by 5 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. Deep learning‐based gesture recognition for surgical applications: A data augmentation approach;Expert Systems;2024-09

2. Motion feature estimation using bi-directional GRU for skeleton-based dynamic hand gesture recognition;Signal, Image and Video Processing;2024-04-07

3. Survey on vision-based dynamic hand gesture recognition;The Visual Computer;2023-12-09

4. Graph-Based Embedding Improvement Feature Distribution in Videos;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

5. DEDGraph: Delay Embedding of Dynamic Graph for Temporal Action Segmentation;2023 Sixth International Symposium on Computer, Consumer and Control (IS3C);2023-06
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