1
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
2
Subject- and Environment-Based Sensor Variability for Wearable Lower-Limb Assistive Devices
3
The Effect of Feedback During Training Sessions on Learning Pattern-Recognition-Based Prosthesis Control
4
A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition
5
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
6
Development of an EMG-Controlled Serious Game for Rehabilitation
7
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
8
Real-time, simultaneous myoelectric control using a convolutional neural network
9
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
10
The effect of arm position on classification of hand gestures with intramuscular EMG
11
Robust EMG pattern recognition in the presence of confounding factors: features, classifiers and adaptive learning
12
Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning
13
A feature extraction issue for myoelectric control based on wearable EMG sensors
14
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
15
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
16
CNN-RNN: a large-scale hierarchical image classification framework
17
Transfer learning for sEMG hand gestures recognition using convolutional neural networks
18
Automatic differentiation in PyTorch
19
Combining Improved Gray-Level Co-Occurrence Matrix With High Density Grid for Myoelectric Control Robustness to Electrode Shift
20
User adaptation in Myoelectric Man-Machine Interfaces
21
Multi-Position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic Control
22
Combined influence of forearm orientation and muscular contraction on EMG pattern recognition
23
Video-based emotion recognition using CNN-RNN and C3D hybrid networks
24
A convolutional neural network for robotic arm guidance using sEMG based frequency-features
25
WaveNet: A Generative Model for Raw Audio
26
What makes ImageNet good for transfer learning?
27
Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment
28
Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees
29
Pixel Recurrent Neural Networks
30
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
31
User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control
32
Domain-Adversarial Training of Neural Networks
33
Empirical Evaluation of Rectified Activations in Convolutional Network
34
Current state of digital signal processing in myoelectric interfaces and related applications
35
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
36
Adam: A Method for Stochastic Optimization
37
How transferable are features in deep neural networks?
38
A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes
39
Artificial Proprioceptive Feedback for Myoelectric Control
40
User Training for Pattern Recognition-Based Myoelectric Prostheses: Improving Phantom Limb Movement Consistency and Distinguishability
41
Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs
42
EMG feature evaluation for improving myoelectric pattern recognition robustness
43
Analysis of the Accuracy and Robustness of the Leap Motion Controller
44
Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control
45
Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees
46
Random Search for Hyper-Parameter Optimization
47
Quantification of Feature Space Changes With Experience During Electromyogram Pattern Recognition Control
48
Deep Learning of Representations for Unsupervised and Transfer Learning
49
Determining the Optimal Window Length for Pattern Recognition-Based Myoelectric Control: Balancing the Competing Effects of Classification Error and Controller Delay
50
Examining the adverse effects of limb position on pattern recognition based myoelectric control
51
Learning a Novel Myoelectric-Controlled Interface Task
52
Myoelectric control systems - A survey
53
Myoelectric signal processing for control of powered limb prostheses.
54
Statistical Comparisons of Classifiers over Multiple Data Sets
55
EMG Activity as a Function of the Performer's Focus of Attention
56
Statistical Power Analysis for the Behavioral Sciences
57
“Engaging with robotic swarms: Commands from expressive motion,”
59
Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.
60
Reducing the Dimensionality of Data with Neural
61
Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
63
Ultrahaptics , “ Leap motion . ” [ Online ]