High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery.
In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such target users are called 'BCI-illiterate'. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or a solution to this p...
Main Authors: | Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3838377?pdf=render |
Similar Items
-
Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance
by: Moonyoung Kwon, et al.
Published: (2020-04-01) -
User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
by: Minkyu Ahn, et al.
Published: (2018-02-01) -
Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI
by: Kyungho Won, et al.
Published: (2021-08-01) -
Predicting BCI performance to study BCI illiteracy
by: Blankertz Benjamin, et al.
Published: (2009-07-01) -
Gamma band activity associated with BCI performance – Simultaneous MEG/EEG study
by: Minkyu eAhn, et al.
Published: (2013-12-01)