Abstract: Dynamic gesture recognition is a typical human-computer interaction method owing to its great potential in practical applications.
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Oct 22, 2021 � Gesture recognition technology is widely used in the flexible and precise control of manipulators in the assisted medical field.
In this study, we introduce a deep learning approach that combines CNN with multi-attention mechanism for the task of electromyographic hand gesture�...
Sep 8, 2024 � By training the deep neural network model, the hidden features in Surface Electromyography(sEMG) signals can be extracted.
Mar 24, 2023 � In this study, we collected electromyography signal data from hand gestures and used them to train a convolutional recurrent neural network. The�...
Jun 15, 2024 � This research aims to provide the groundwork for smartly categorizing hand movements for use with prosthetic hands.
Mar 14, 2022 � We propose a recognition method based on a strategy combining 2D convolutional neural networks with feature fusion.
In this paper, we propose a gesture recognition method with sEMG signals based on a deep multi-parallel convolutional neural network (CNN), which solves the�...
The TFFT can be connected to a neural network to obtain an end-to-end architecture. Thus, we integrated the suite into traditional neural networks, such as�...
Hand gesture recognition based on surface electromyographic (sEMG) signals is a promising approach for the development of Human-Machine Interfaces (HMIs)�...