Neural network gesture recognition, The problem of hand

Neural network gesture recognition, 4 days ago · A Low Power, Fully Event-Based Gesture Recognition System 2017 IEEE Conference on Computer Vision and Pattern Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 11 TOPS Photonic Convolutional Accelerator for Optical Neural Networks. Traditional approaches often suffer from limited feature representation capabilities and lack of model interpretability, particularly when dealing with large gesture vocabularies in noisy environments. The present review paper presents a total overview of the current developments in the field of real-time recognition of hand gestures, and particularly, the use of neural networks. Feb 6, 2026 · Siamese Neural Networks for One-Shot Image Recognition Classification of Hand Gestures from Wearable IMUs using Deep Neural Network 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) sEMG-Based Gesture Recognition with Convolution Neural Networks Oct 13, 2020 · A user-specific hand gesture recognition model based on electromyographies measured with the Myo Armband, covariances together with a bag of functions for feature extraction, and a shallow feed-forward neural network for classification is proposed. Mar 14, 2022 · To improve this problem, we propose a recognition method based on a strategy combining 2D convolutional neural networks with feature fusion. We built and tested our model on a specialised dataset, evaluating its performance Addressing the challenge posed by the insufficient feature extraction capability of existing network models, which hampers gesture recognition accuracy and increases model inference time, this paper introduces a novel gesture recognition algorithm based on an enhanced MobileNet network. Feb 19, 2025 · Addressing the challenge posed by the insufficient feature extraction capability of existing network models, which hampers gesture recognition accuracy and increases model inference time, this paper introduces a novel gesture recognition algorithm based on an enhanced MobileNet network. Abstract The communication barrier and the hearing majority are the key social concerns of the deaf-dumb community that prevent them from accessing the basic and essential services of the life 4 days ago · About Embedded AI gesture recognition glove using ESP32-S3, flex sensors, IMU and neural network inference. A methodology for the recognition of hand gestures, which is the prime component in sign language vocabulary, based on an efficient deep convolutional neural network (CNN) architecture is proposed. Mar 1, 2025 · To solve the problem of low recognition accuracy of existing networks, an improved dynamic gesture recognition algorithm based on ResNeXt architecture is proposed.


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