Hand Gesture Recognition in Video Sequences Using Deep Convolutional and Recurrent Neural Networks Cover

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Hand Gesture Recognition in Video Sequences Using Deep Convolutional and Recurrent Neural Networks

Applied Computer Systems

Volume 25 (2020): Issue 1 (May 2020)

By: Falah Obaid , Amin Babadi and Ahmad Yoosofan

Open Access

|Jun 2020

Authors

Falah Obaid

search2018k@gmail.com

Electrical and Computer Engineering Department, University of Kashan, Kashan

Amin Babadi

Department of Computer Science, Aalto University, Helsinki, Finland

Ahmad Yoosofan

Electrical and Computer Engineering Department, University of Kashan, Kashan

DOI: https://doi.org/10.2478/acss-2020-0007 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683

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Language: English

Page range: 57 - 61

Published on: Jun 5, 2020

Published by: Riga Technical University

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

Computer Vision (CV),

Convolutional Neural Network (CNN),

Hand Gesture Recognition (HGR),

Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM)

Related subjects:

Computer sciences,

Artificial intelligence,

Information technology,

Project management,

Software development

© 2020 Falah Obaid, Amin Babadi, Ahmad Yoosofan, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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