Difference between revisions of "Brain-Computer Interface"
From AIRWiki
Line 10: | Line 10: | ||
* [[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]] | ||
− | ** [[ | + | ** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis) |
** [[Feature Selection and Extraction for a BCI based on motor imagery]] (Master thesis, Francesco Amenta) | ** [[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 09:00, 18 October 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
- Predictive BCI Speller based on Motor Imagery (Master thesis, Tiziano D'Albis)
- Feature Selection and Extraction for a BCI based on motor imagery (Master thesis, Francesco Amenta)
- Graphical user interface for an autonomous wheelchair (Roberto Massimini)
New projects
There are various proposal for students interested in projects/thesis in the field of brain-computer interfaces:
Finished projects
- Tesi di Carlo Gimondi e Luisella Messana
- Tesi di Gianmaria Visconti
- Tesi di Francesco Cartella