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 76–100 of 252 papers

TitleStatusHype
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer InterfacesCode0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals—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
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—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
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
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
Show:102550
← PrevPage 4 of 11Next →

No leaderboard results yet.