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 51–75 of 252 papers

TitleStatusHype
Deep comparisons of Neural Networks from the EEGNet familyCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training—0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm—0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set—0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
A Generative System for Robot-to-Human Handovers: from Intent Inference to Spatial Configuration Imagery—0
Covariance Density Neural Networks—0
Show:102550
← PrevPage 3 of 11Next →

No leaderboard results yet.