Difference between revisions of "Brain-Computer Interface"

Revision as of 14:23, 2 April 2010

This research topic belongs to the research area BioSignal Analysis.

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).

Click here for a brief description of the Research Area, taken from the AirLab website.

Ongoing Projects

Projects on this topic:

Project proposals

Wiki Page:	Aperiodic visual stimulation in a VEP-based BCI
Title:	Aperiodic visual stimulation in a VEP-based BCI
Description:	Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. J.R. Wolpaw et al. Brain-computer interfaces for communication and control (http://tinyurl.com/yhq27pq) Erich E. Sutter. The brain response interface: communication through visually-induced electrical brain responses (http://tinyurl.com/yfqvwp6)
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 October 2009
Students:	1
CFU:	5
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Bachelor of Science
Type:	Course, Thesis

Wiki Page:	Creation of new EEG training by introduction of noise
Title:	Creation of new EEG training by introduction of noise
Description:	A Brain-Computer Interface (BCI) must be trained on the individual user in order to be effective. This training phase require recording data in long sessions, which is time consuming and boring for the user. The aim of this project is to develop algorithm to create new training EEG (electroencephalography) data from existing ones, so as to speed up the training phase. J.R. Wolpaw et al. Brain-computer interfaces for communication and control (http://tinyurl.com/yhq27pq)
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 October 2009
Students:	1 - 2
CFU:	5 - 20
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Bachelor of Science, Master of Science
Type:	Course, Thesis

Wiki Page:	Driving an autonomous wheelchair with a P300-based BCI
Title:	Driving an autonomous wheelchair with a P300-based BCI
Description:	This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair (LURCH) with a BCI, through the development of key software modules. Depending on the effort the student is willing to put into it, the project can grow to a full experimental thesis.
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 November 2008
Students:	1
CFU:	5 - 20
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Bachelor of Science, Master of Science
Type:	Course

Wiki Page:	Exploratory data analysis by genetic feature extraction
Title:	Exploratory data analysis by genetic feature extraction
Description:	Understanding the waves in EEG signals is an hard task and psicologists often need automatic tools to perform this task. In this project we are interested in using a genetic algorithm developed for P300 feature extraction in order to extract useful informations from Error Potentials. The project is a collaboration with the psicology department od Padua University. B. Dal Seno, M. Matteucci, and L. Mainardi. "A genetic algorithm for automatic feature extraction in P300 detection" (http://home.dei.polimi.it/dalseno/papers/2008/ijcnn08.pdf) B. Dal Seno, M. Matteucci, L. Mainardi, F. Piccione, and S. Silvoni. "Single-trial P300 detection in healthy and ALS subjects by means of a genetic algorithm" (http://home.dei.polimi.it/dalseno/papers/2008/grazGa08.pdf)
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 October 2009
Students:	1 - 2
CFU:	5 - 20
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Master of Science
Type:	Course, Thesis

Wiki Page:	Multimodal GUI for driving an autonomous wheelchair
Title:	Multimodal GUI for driving an autonomous wheelchair
Description:	This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair (LURCH - The autonomous wheelchair) with a multi modal interface (Speech Recognition, Brain-Computer Interface, etc.), through the development of key software modules. The work will be validated with live experiments. R. Blatt et al. Brain Control of a Smart Wheelchair (http://tinyurl.com/ygldwun)
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. ), [[SimoneCeriani | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. ), [[DavideMigliore | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 October 2009
Students:	1 - 2
CFU:	5 - 10
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Bachelor of Science, Master of Science
Type:	Course

Wiki Page:	Real-time removal of ocular artifact from EEG
Title:	Real-time removal of ocular artifact from EEG
Description:	In a Brain-Computer Interface (BCI) based on electroencephalogram (EEG), one of the most important sources of noise is related to ocular movements. Algorithms have been devised to cancel the effect of such artifacts. The project consists in the in the implementation in real time of an existing algorithm (or one newly developed) in order to improve the performance of a BCI. J.R. Wolpaw et al. Brain-computer interfaces for communication and control (http://tinyurl.com/yhq27pq) R.J. Croff, R.J. Barry. Removal of ocular artifact from the EEG: a review (http://tinyurl.com/ykk6ks9)
Tutor:	[[MatteoMatteucci | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png Some part "<nowiki>…</nowiki>" of the query was not understood. The symbol "[[" was used in a place where it is not useful. The part "]]" of the query was not understood. Results might not be as expected. Some subquery has no valid condition. )
Start:	1 October 2009
Students:	1 - 2
CFU:	2.5 - 5
Research Area:	BioSignal Analysis
Research Topic:	Brain-Computer Interface
Level:	Bachelor of Science, Master of Science
Type:	Course

Finished Projects

• Characterization of the NIA signal
• Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

• 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* 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

Equipment

• Electroencephalographs

How to

• How to mount electrodes
• How to setup BCI software

Publications

You can find publications in the BCI field by AIRLab members involved in this topic (see above) 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.