Spatial filter adaptation based on the divergence framework for motor imagery EEG classification
10.1109/EMBC.2014.6943969
Saved in:
Main Authors: | Li, Xinyang, Guan, C., Ang, K. K., Zhang, H., Ong, Sim Heng |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers
2015
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/120452 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Modelling and Classification of Motor Imagery EEG for BCI
by: LI XINYANG
Published: (2014) -
Joint spatial-temporal filter design for analysis of motor imagery EEG
by: Li, X., et al.
Published: (2014) -
Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network
by: Zhang, Kaishuo, et al.
Published: (2022) -
Effects of Local and Global Spatial Patterns in EEG Motor-Imagery Classification using Convolutional Neural Network
by: Jacob Liao, et al.
Published: (2021) -
Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification
by: Zhang, Kaishuo
Published: (2020)