Difference between revisions of "Brain-Computer Interface"
From AIRWiki
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* [[Online P300 and ErrP recognition with BCI2000]] (Master thesis, Andrea Sgarlata). | * [[Online P300 and ErrP recognition with BCI2000]] (Master thesis, Andrea Sgarlata). | ||
* [[BCI based on Motor Imagery]] | * [[BCI based on Motor Imagery]] | ||
+ | ** [[Sensorymotor Rhythms Detection and Control]] (Master thesis, Tiziano D'Albis; Bachelor thesis, Fabio Beltramini) | ||
+ | ** [[Feature Selection and Extraction for a BCI based on motor imagery]] (Master thesis, Francesco Amenta) | ||
* [[Graphical user interface for an autonomous wheelchair]] (Roberto Massimini) | * [[Graphical user interface for an autonomous wheelchair]] (Roberto Massimini) | ||
Revision as of 15:45, 9 June 2008
A Brain-Computer Interface (BCI) is an experimental communication system that allows an individual to control a device by using signals from the brain (e.g., electroencephalography -- EEG).
You can find a longer description on the AIRLab page.
The BCI project is in the BioSignal_Analysis area.
Ongoing projects
- GA for feature extraction
- Online P300 and ErrP recognition with BCI2000 (Master thesis, Andrea Sgarlata).
- BCI based on Motor Imagery
- Sensorymotor Rhythms Detection and Control (Master thesis, Tiziano D'Albis; Bachelor thesis, Fabio Beltramini)
- Feature Selection and Extraction for a BCI based on motor imagery (Master thesis, Francesco Amenta)
- Graphical user interface for an autonomous wheelchair (Roberto Massimini)
Finished projects
- Tesi di Carlo Gimondi e Luisella Messana
- Tesi di Gianmaria Visconti
- Tesi di Francesco Cartella