Calibration-Free Transfer Learning for EEG-Based Cross-Subject Motor Imagery Classification

Motor imagery based brain-computer interfaces (MI-BCIs) have been widely used in intelligent medical applications such as post-stroke rehabilitation and mobile assistant robots. However, the high inter-subject variability and the non-stationarity of EEG characteristics limit the cross-subject applic...

Full description

Bibliographic Details

Published in:	IEEE International Conference on Automation Science and Engineering (CASE) pp. 1 - 6
Main Authors:	Wang, Yihan, Wang, Jiaxing, Wang, Weiqun, Su, Jianqiang, Hou, Zeng-Guang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.08.2023
Subjects:	Brain modeling Brain-computer interfaces Calibration-free Computer aided software engineering cross-subject EEG Electroencephalography Medical services motor imagery Training Transfer learning
ISSN:	2161-8089
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!