EEG Motor Movement/Imagery Dataset

Introduced in A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface2022

About this Dataset

This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers.

Source: A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

Dataset Variants

EEG Motor Movement/Imagery Dataset

Papers1

A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states using a data augmentation algorithm and a limited number of EEG channels is proposed to establish communication paths between the brain processes and external devices.

Tasks

EDIT

Person Identification EEG 4 classes EEG Left/Right hand

Similar Datasets

MNIST

CelebA

GLUE

Statistics

Papers

1

Tasks

32

Introduced

2022