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

• GA for feature extraction
• Online P300 and ErrP recognition with BCI2000 (Master thesis, Andrea Sgarlata).
• BCI based on Motor Imagery
  • Sensorymotor Rhythms Detection and Control (Master thesis, Tiziano D'Albis; Bachelor thesis, Fabio Beltramini)
  • 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:

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

Finished projects

• Tesi di Carlo Gimondi e Luisella Messana
• Tesi di Gianmaria Visconti
• Tesi di Francesco Cartella

Instruments

• Electroencephalographs