Difference between revisions of "Brain-Computer Interface"

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(Ongoing projects)
(Ongoing projects)
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** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis)
 
** [[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)
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* [[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]]
 
* [[Reproduction of an algorithm for the recognition of error potentials]]
 
* [[Reproduction of an algorithm for the recognition of error potentials]]

Revision as of 21:16, 20 August 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.

Ongoing projects

New projects

There are various proposal for students interested in projects/thesis in the field of brain-computer interfaces:

Finished projects

Instruments

How to

Publications

You can find publications in the BCI field by Airlab members on their home pages:

Media