Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals
By Rami N. Khushaba, Sarath Kodagoda, Maen Takruri, Gamini Dissanayake. Expert systems with applications, 2012
342 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/5f731671d3954ad4321af168ab77ee77f7b4207d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Alexandre Campeau-Lecours
- U. Côté-Allard
- Clément M. Gosselin
- Alexandre Drouin
- Kyrre Harald Glette
- François Laviolette
- Benoit Gosselin
- Cheikh Latyr Fall
In Cellular and Molecular Neuroscience
- Alexandre Campeau-Lecours
- U. Côté-Allard
- Clément M. Gosselin
- Alexandre Drouin
- Kyrre Harald Glette
- François Laviolette
- Benoit Gosselin
- Cheikh Latyr Fall
In Cognitive Neuroscience
- Alexandre Campeau-Lecours
- U. Côté-Allard
- Clément M. Gosselin
- Alexandre Drouin
- Kyrre Harald Glette
- François Laviolette
- Benoit Gosselin
- Cheikh Latyr Fall
Citations in the corpus
- Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning (2018, methodology): “As is often the case, dimensionality reduction is applied [1], [3], [36].”