Brain-Computer Interface

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

• 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)
  • 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)
• 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:

• First Level Course Projects
• First Level Theses
• Master Level Course Projects
• Master Level Theses

Finished projects

• 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

• Electroencephalographs

How to

• How to mount electrodes
• How to setup BCI software

Publications

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

• Bernardo Dal Seno's publications

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.