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Research on Static Gesture Recognition Based on Deep Learning Cover
By: Min Zhang and  Pingping Liu  
Open Access
|May 2023

Figures & Tables

Figure 1.

System framework
System framework

Figure 2.

Feature extraction flowchart
Feature extraction flowchart

Figure 3.

Palm area
Palm area

Figure 4.

Gesture area
Gesture area

Figure 5.

Template matching flowchart
Template matching flowchart

Figure 6.

Static gesture recognition neural network framework
Static gesture recognition neural network framework

Figure 7.

Image preprocessing effect
Image preprocessing effect

Figure 8.

Curve of the accuracy change of the training set
Curve of the accuracy change of the training set

Figure 9.

Curve of the change in the accuracy of the test set
Curve of the change in the accuracy of the test set

Figure 10.

Loss change curve
Loss change curve

Gesture recognition rate training effect

Gesture categoryRecognition rate
Digital gesture 195%
Digital gesture 299%
Digital gesture 396%
Digital gesture 483%
Digital gesture 586%
Digital gesture good100%
Language: English
Page range: 31 - 38
Published on: May 26, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Min Zhang, Pingping Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.