<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Deep learning is a new branch of machine learning, which is widely used by researchers in a lot of artificial intelligence applications, including signal processing and computer vision. The present research investigates the use of deep learning to solve the hand gesture recognition (HGR) problem and proposes two models using deep learning architecture. The first model comprises a convolutional neural network (CNN) and a recurrent neural network with a long short-term memory (RNN-LSTM). The accuracy of model achieves up to 82 % when fed by colour channel, and 89 % when fed by depth channel. The second model comprises two parallel convolutional neural networks, which are merged by a merge layer, and a recurrent neural network with a long short-term memory fed by RGB-D. The accuracy of the latest model achieves up to 93 %.</p></abstract>

Deep learning is a new branch of machine learning, which is widely used by researchers in a lot of artificial intelligence applications, including signal processing and computer vision. The present research investigates the use of deep learning to solve the hand gesture recognition (HGR) problem and proposes two models using deep learning architecture. The first model comprises a convolutional neural network (CNN) and a recurrent neural network with a long short-term memory (RNN-LSTM). The accuracy of model achieves up to 82 % when fed by colour channel, and 89 % when fed by depth channel. The second model comprises two parallel convolutional neural networks, which are merged by a merge layer, and a recurrent neural network with a long short-term memory fed by RGB-D. The accuracy of the latest model achieves up to 93 %.

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

Electrical and Computer Engineering Department

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Deep learning is a new branch of machine learning, which is widely used by researchers in a lot of artificial intelligence applications, including signal...

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

Online veröffentlicht: 05. Juni 2020

Seitenbereich: 57 - 61

DOI: https://doi.org/10.2478/acss-2020-0007

Schlüsselwörter
Computer Vision (CV), Convolutional Neural Network (CNN), Deep Learning, Hand Gesture Recognition (HGR), Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM)

© 2020 Falah Obaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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

Online veröffentlicht: 05. Juni 2020

Seitenbereich: 57 - 61

DOI: https://doi.org/10.2478/acss-2020-0007

SchlüsselwörterComputer Vision (CV), Convolutional Neural Network (CNN), Deep Learning, Hand Gesture Recognition (HGR), Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM)

© 2020 Falah Obaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Schlüsselwörter
Computer Vision (CV), Convolutional Neural Network (CNN), Deep Learning, Hand Gesture Recognition (HGR), Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM)