most citedCompact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals

1 citations · 1 across the 2 of their papers we have counts for

collaborators

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★ 1 cited

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…