Difference between revisions of "Brain-Computer Interface"
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* [[A genetic algorithm for automatic feature extraction from EEG data]] | * [[A genetic algorithm for automatic feature extraction from EEG data]] | ||
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* [[Graphical user interface for an autonomous wheelchair]] | * [[Graphical user interface for an autonomous wheelchair]] | ||
* [[Online automatic tuning of the number of repetitions in a P300-based BCI]] | * [[Online automatic tuning of the number of repetitions in a P300-based BCI]] | ||
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== Finished projects == | == Finished projects == | ||
| + | * [[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) | ||
| + | * [[Integrating Motor Imagery and Error Potentials in a Brain-Computer Interface]] (Master Thesis, Paolo Calloni) | ||
| + | * [[Ocular Artifacts Filter implementation for a BCI based on motor imagery]] (First Level thesis, Fabio Beltramini) | ||
* [[Reproduction of an algorithm for the recognition of error potentials]] | * [[Reproduction of an algorithm for the recognition of error potentials]] | ||
* [[Online P300 and ErrP recognition with BCI2000]] (Master thesis, Andrea Sgarlata). | * [[Online P300 and ErrP recognition with BCI2000]] (Master thesis, Andrea Sgarlata). | ||
Revision as of 20:31, 7 December 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
- Graphical user interface for an autonomous wheelchair
- Online automatic tuning of the number of repetitions in a P300-based BCI
New projects
There are various proposal for students interested in projects/thesis in the field of brain-computer interfaces:
Finished projects
- 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)
- Integrating Motor Imagery and Error Potentials in a Brain-Computer Interface (Master Thesis, Paolo Calloni)
- Ocular Artifacts Filter implementation for a BCI based on motor imagery (First Level thesis, Fabio Beltramini)
- Reproduction of an algorithm for the recognition of error potentials
- 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.
