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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 221–230 of 252 papers

TitleStatusHype
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
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
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
Information Theoretic Feature Transformation Learning for Brain Interfaces—0
Real-Time EEG Classification via Coresets for BCI Applications—0
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders—0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
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