#finalyearprojects 2020 | CLASSIFICATION OF ELECTROENCEPHALOGRAPHY-BASED MOTOR IMAGERY TASKS

#NTXSC2020 - MiMap: Motor Imagery Controlled MapПодробнее

Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classificationПодробнее

Paper ID 172 - A Review on Motor Imagery Based EEG Signal Classification for BCI Using Deep LearningПодробнее

Final Year Projects | Improving the Separability of Motor ImageryПодробнее

Final Year Projects | Improving the Separability of Motor Imagery EEG SignalsПодробнее

Neuromatch FlashTalk - EEG based phase-locking value for motor and imagery motor task discriminationПодробнее

Demo: Classification of Multiclass Motor Imagery EEG for Control Application of BCIПодробнее

MY022 - Classification of motor imagery Electroencephalogram (EEG) signal using deep learningПодробнее

A Study of the Classification of Motor Imagery Signals using Machine Learning ToolsПодробнее

Final Year Projects | Classification of EEG signal using wavelet pocket, GA, RBFПодробнее

IMDC MY022 Classification of motor imagery EEG signal using deep learning for robotic wheelchairПодробнее

Final Year Projects | ANN-based classification of EEG signalsПодробнее

EEG Motor Imagery Classification With Sparse Spectrotemporal Decomposition and Deep LearningПодробнее

4. AIT Brain Lab - Motor ImageryПодробнее

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional NeuralПодробнее

Classification of Motor Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers LearningПодробнее

Motor Imagery Based Multimodal Biometric UserAuthentication System Using EEGПодробнее

Brain-Computer Interface: Feature Extraction & Classification of Motor Imagery-Based Cognitive TasksПодробнее