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Interpreting Deep Learning Features for Myoelectric Control: A
  Comparison with Handcrafted Features

Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features

30 November 2019
Ulysse Côté-Allard
Evan Campbell
A. Phinyomark
François Laviolette
Benoit Gosselin
Erik J. Scheme
ArXivPDFHTML

Papers citing "Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features"

3 / 3 papers shown
Title
Open Access Dataset for Electromyography based Multi-code Biometric
  Authentication
Open Access Dataset for Electromyography based Multi-code Biometric Authentication
Ashirbad Pradhan
Jiayuan He
N. Jiang
22
34
0
04 Jan 2022
Unsupervised Domain Adversarial Self-Calibration for
  Electromyographic-based Gesture Recognition
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition
Ulysse Côté-Allard
Gabriel Gagnon-Turcotte
A. Phinyomark
K. Glette
Erik J. Scheme
François Laviolette
Benoit Gosselin
26
49
0
21 Dec 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1