Electromyography (EMG)
15 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Electromyography (EMG)
Silent Speech EMG
Subtasks
Latest papers
sEMG Gesture Recognition with a Simple Model of Attention
Myoelectric control is one of the leading areas of research in the field of robotic prosthetics.
Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer
larocs/EMG-GAN
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This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson’s Disease (PD) electromyography (EMG) signals.
Parkinson’s Disease EMG Signal Prediction Using Neural Networks
This paper proposes a comparison between different neural network models, using multilayer perceptron (MLPs) and recurrent neural network (RNN) models, for predicting Parkinson's disease electromyography (EMG) signals, to anticipate resulting resting tremor patterns.
EV-Action: Electromyography-Vision Multi-Modal Action Dataset
To make up this, we introduce a new, large-scale EV-Action dataset in this work, which consists of RGB, depth, electromyography (EMG), and two skeleton modalities.
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals
The link between different psychophysiological measures during emotion episodes is not well understood.
