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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

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Showing 51–100 of 252 papers

TitleStatusHype
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
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
Feature Reweighting for EEG-based Motor Imagery Classification—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
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—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
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
Feature Learning from Incomplete EEG with Denoising Autoencoder—0
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
CATVis: Context-Aware Thought Visualization—0
Effect of Simulated Space Conditions on functional Connectivity—0
Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping—0
Emotion-robust EEG Classification for Motor Imagery—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
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