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Research on Static Gesture Recognition Based on Deep Learning

Min Zhang

Min Zhang

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
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Zhang, Min
 e 
Pingping Liu

Pingping Liu

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
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Liu, Pingping
  
26 mag 2023
Research on Static Gesture Recognition Based on Deep Learning's Cover Image
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Pubblicato online: 26 mag 2023
Pagine: 31 - 38
DOI: https://doi.org/10.2478/ijanmc-2022-0034
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© 2022 Min Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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 category Recognition rate
Digital gesture 1 95%
Digital gesture 2 99%
Digital gesture 3 96%
Digital gesture 4 83%
Digital gesture 5 86%
Digital gesture good 100%
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