Difference between revisions of "Brain-Computer Interface"
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== Ongoing projects == | == Ongoing projects == | ||
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* [[BCI based on Motor Imagery]] | * [[BCI based on Motor Imagery]] | ||
** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis) | ** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis) | ||
Revision as of 14:32, 21 April 2009
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.
Contents
Ongoing projects
- A genetic algorithm for automatic feature extraction from EEG data
- 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
- Online P300 and ErrP recognition with BCI2000 (Master thesis, Andrea Sgarlata).
- Tesi di Carlo Gimondi e Luisella Messana
- Tesi di Gianmaria Visconti
- Tesi di Francesco Cartella
Instruments
How to
Publications
You can find publications in the BCI field by Airlab members on their home pages:
Media
- 22 Jan 2009: Repubblica TV report on Lurch and BCI (in Italian)
- Aug 2008: RAI TGLeonardo report on Airlab research (in Italian). The video is a fragment of a longer report on mind and intelligence.
