2 papers
eess.SP2020
A temporal-to-spatial deep convolutional neural network for classification of hand movements from multichannel electromyography data
Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
Deep convolutional neural networks (CNNs) are appealing for the purpose of classification of hand movements from surface electromyography (sEMG) data because they have the ability…
cs.CV2018
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals
Adam Hartwell, Visakan Kadirkamanathan, Sean R Anderson
Machine learning classifiers using surface electromyography are important for human-machine interfacing and device control. Conventional classifiers such as support vector machines…