EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game

This paper presents an overview of a multistage signal processing framework to tackle the main challenges in continuous control protocols for motor imagery based synchronous and self-paced BCIs. The BCI can be setup rapidly and automatically even when conducting an extensive search for subject-speci...

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Published in2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain pp. 1 - 7
Main Authors Coyle, D., Garcia, J., Satti, A. R., McGinnity, T. M.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.04.2011
Subjects
BCI
EEG
Electroencephalography
Feature extraction
Filtering
fuzzing neural network
Games
motor imagery
particle swarm optimisation
Smoothing methods
Synchronous motors
time-series prediction
Training
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Abstract This paper presents an overview of a multistage signal processing framework to tackle the main challenges in continuous control protocols for motor imagery based synchronous and self-paced BCIs. The BCI can be setup rapidly and automatically even when conducting an extensive search for subject-specific parameters. A new BCI-based game training paradigm which enables assessment of continuous control performance is also introduced. A range of offline results and online analysis of the new game illustrate the potential for the proposed BCI and the advantages of using the game as a BCI training paradigm.
AbstractList This paper presents an overview of a multistage signal processing framework to tackle the main challenges in continuous control protocols for motor imagery based synchronous and self-paced BCIs. The BCI can be setup rapidly and automatically even when conducting an extensive search for subject-specific parameters. A new BCI-based game training paradigm which enables assessment of continuous control performance is also introduced. A range of offline results and online analysis of the new game illustrate the potential for the proposed BCI and the advantages of using the game as a BCI training paradigm.
Author Coyle, D.
Garcia, J.
Satti, A. R.
McGinnity, T. M.
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  givenname: T. M.
  surname: McGinnity
  fullname: McGinnity, T. M.
  organization: Intell. Syst. Res. Centre, Univ. of Ulster, Derry, UK
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SubjectTerms BCI
EEG
Electroencephalography
Feature extraction
Filtering
fuzzing neural network
Games
motor imagery
particle swarm optimisation
Smoothing methods
Synchronous motors
time-series prediction
Training
Title EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game
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