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Jan 24, 2023 · The presented paper describes implementations of the gesture recognition methods based on the convolutional neural networks.
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Jun 26, 2023 · In our research paper, we introduce a reliable hand gesture tracking and recognition model that is accurate despite any complex environment, it ...
The presented paper describes implementations of the gesture recognition methods based on the convolutional neural networks. For this purpose, we adopted ...
Nov 17, 2023 · [21] developed a system capable of rapidly and effectively recognizing hand gestures in hand-body language using a dedicated glove with ten ...
The goal of this work is to recognize ten types of static hand gestures in front of complex backgrounds and different hand sizes based on raw images without the ...
Jun 26, 2024 · Our findings show how well our method works to recognize hand motions. Discussion: Teachers, students, and medical professionals can all ...
Jan 23, 2023 · The presented paper describes implementations of the gesture recognition methods based on the convolutional neural networks.
In our research paper, we introduce a reliable hand gesture tracking and recognition model that is accurate despite any complex environment, it can track and ...
Therefore, this paper emphasizes on recognition of static hand gestures by building a model using CNN that can analyze large amount of image data and recognize ...
The CNN-LSTM model with post-processing achieved a mean recognition accuracy of 90.55% (SD=9.45%). These findings suggest new paths for research in HGR ...