Difference between revisions of "Brain-Computer Interface"

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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)
+
** [[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

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

Instruments

How to