May 20, 2022 · This paper proposes a new efficient gesture recognition approach that combines CNN features with conventional Zernike moment-based features.
Oct 1, 2022 · This paper proposes a new efficient gesture recognition approach that combines CNN features with conventional Zernike moment-based features.
May 20, 2022 · This paper proposes a new efficient gesture recognition approach that combines CNN features with conventional Zernike moment-based features. Two ...
This paper presents a novel architecture, combining a convolutional neural network (CNN) and traditional feature extractors, capable of accurate and real-time ...
This paper presents a novel architecture, combining a convolutional neural network (CNN) and traditional feature extractors, capable of accurate and real-time ...
This paper applies deep learning-based convolutional neural networks (CNNs) for robust modeling of static signs in the context of sign language recognition ...
a system based on this model that recognizes gestures from OUHANDS and LaRED ... Recognition-based gesture spotting in video games. Pattern Recognition ...
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Mar 19, 2024 · Convolutional neural networks (CNNs) are able to precisely identify a variety of gestures after being trained on large datasets of hand sign ...
We implemented an efficient feature extraction technique using the fusion of HOG feature descriptor and attention-based CNN for recognizing hand sign gestures.
Jun 14, 2024 · Based on multi-feature fusion, a gesture recognition method for complex scenes is proposed in this work. We collected data in variety places to improve sample ...
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