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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 151–200 of 252 papers

TitleStatusHype
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces—0
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification—0
Subject Specific Deep Learning Model for Motor Imagery Direction Decoding—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
The evolution of AI approaches for motor imagery EEG-based BCIs—0
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding—0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning—0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks—0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms—0
Towards physiology-informed data augmentation for EEG-based BCIs—0
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders—0
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs—0
Transferring Subspaces Between Subjects in Brain-Computer Interfacing—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing—0
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface—0
Covariance Density Neural Networks—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
A Generative System for Robot-to-Human Handovers: from Intent Inference to Spatial Configuration Imagery—0
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
A Technique Based on Chaos for Brain Computer Interfacing—0
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS—0
BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain—0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
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