SOTAVerified

Motor Imagery

Classification of examples recorded under the Motor Imagery paradigm, as part of Brain-Computer Interfaces (BCI).

A number of motor imagery datasets can be downloaded using the MOABB library: motor imagery datasets list

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 252 papers

TitleStatusHype
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces—0
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification—0
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
MutualGraphNet: A novel model for motor imagery classification—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation—0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks—0
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural NetworkCode0
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine InterfacesCode0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020Code0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG ClassificationCode1
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Improving J-divergence of brain connectivity states by graph Laplacian denoising—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface—0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design—0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification—0
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean SpaceCode1
Show:102550
← PrevPage 4 of 6Next →

No leaderboard results yet.