Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification

Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification

Brain–computer interfaces (BCIs) can help people with limited motor abilities to interact with their environment without external assistance. A major challenge in electroencephalogram (EEG)-based BCI development and research is the cross-subject classification of motor imagery data. Due to the highl...

Full description

Bibliographic Details
Main Authors: Karel Roots, Yar Muhammad, Naveed Muhammad
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Computers
Subjects:
brain–computer interface (BCI)
convolutional neural network (CNN)
deep learning
electroencephalography (EEG)
fusion network
motor imagery (MI)
Online Access:https://www.mdpi.com/2073-431X/9/3/72

Similar Items

Similar Items