Brain-Computer Interface

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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

{{#ask: [[Category:ProjectProposal]Active] Brain-Computer Interface| ?PrjTitle | ?PrjImage | ?PrjDescription | ?PrjTutor | ?PrjStarts | ?PrjStudMin | ?PrjStudMax | ?PrjCFUMin | ?PrjCFUMax | ?PrjResArea | ?PrjResTopic | ?PrjLevel | ?PrjType | format = template | template = Template:ProjectProposalViz }}

Finished Projects


How to


You can find other publications in the BCI field by AIRLab members involved in this topic (see above) on their home pages.


B. Dal Seno, L. Mainardi, and M. Matteucci. The Utility metric: A novel method to assess the overall performance of discrete brain-computer interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, pages 20-28, February 2010.

B. Dal Seno, M. Matteucci, and L. Mainardi. On-line detection of P300 and error potentials in a BCI speller. Computational Intelligence and Neuroscience, Special Issue on Processing of Brain Signals by Using Hemodynamic and Neuroelectromagnetic Modalities, Article ID 307254, 5 pages, 2010.

PhD Theses

B. Dal Seno. Toward An Integrated P300- And ErrP-Based Brain-Computer Interface. Ph.D. dissertation, Politecnico di Milano, 2009.