A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition-Reference-Cited by-同舟云学术

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A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition

Published:2024 Issue: Volume:12 Page:28761-28774
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hax David Richard Tom¹^ORCID,Penava Pascal¹^ORCID,Krodel Samira¹^ORCID,Razova Liliya¹^ORCID,Buettner Ricardo¹^ORCID

Affiliation:

1. Chair of Information Systems and Data Science, University of Bayreuth, Bayreuth, Germany

Funder

Open Access Publishing Fund of the University of Bayreuth

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433143.pdf?arnumber=10433143

Reference59 articles.

1. Hand gesture recognition using neural networks;Murthy

2. Human computer interaction using hand gesture;Sharma;Proc. Comput. Sci.,2015

3. Control of home devices based on hand gestures;Gonzalo

4. Real-time hand gesture recognition with Kinect for playing racing video games;Zhu

5. Early childhood education by hand gesture recognition using a smartphone based robot;Yang

Cited by 1 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. Next-Gen Dynamic Hand Gesture Recognition: MediaPipe, Inception-v3 and LSTM-Based Enhanced Deep Learning Model;Electronics;2024-08-15

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