DocumentCode :
2270747
Title :
EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game
Author :
Coyle, Damien ; Garcia, Jhonatan ; Satti, Abdul R. ; McGinnity, T. Martin
Author_Institution :
Intell. Syst. Res. Centre, Univ. of Ulster, Derry, UK
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
7
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.
Keywords :
brain-computer interfaces; electroencephalography; medical control systems; medical signal processing; 3-channel motor imagery BCI; BCI based game training paradigm; EEG based continuous control; motor imagery; multistage signal processing framework; self-paced BCI; Electroencephalography; Feature extraction; Filtering; Games; Smoothing methods; Synchronous motors; Training; BCI; EEG; fuzzing neural network; games; motor imagery; particle swarm optimisation; time-series prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9890-1
Type :
conf
DOI :
10.1109/CCMB.2011.5952128
Filename :
5952128
Link To Document :
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