Brain-Computer Interaction

How can we extract features from the brain signals that reflect the subject’s intent?
Real demonstrations will illustrate the whole range of applications for the emerging field of Brain-Computer Interfaces (BCI), translating the subject’s intent into actions such as controlling a robot or writing a letter from a virtual keyboard.

The BCI work is a natural way to augment human capabilities and is particularly relevant as an aid for disabled people. Subjects will wear a cap with integrated electrodes that measure their electroencephalogram (EEG, the electrical activity of the brain generated by the synchronous activity of thousands of neurons).

After a training session, visitors will also have the opportunity to interact themselves with the demos in the exhibition. In these demos we are incorporating the latest scientific advancements in BCI. The exhibit gives a functional demonstration of how BCI technology can help disabled people to achieve daily life activities.

The proposed approach allows users to deploy natural control paradigms to deliver mental commands at their own pace without the need of any external cue that drives the interaction. The demos will also incorporate advanced adaptive principles to 1) make the BCI adapt to the user's brain signals continuously and 2) increase the spatial resolution of EEG through the use of inverse methods that estimate internal neural sources from scalp EEG. Finally, but not least, pure brain control is augmented with shared control principles that fuses user's intelligence with the intelligence of our smart devices.

Web links

Contact: Prof. Jose del R. Millan

Primary affiliation: EPFL
Position: Prof.
City: Lausanne
Country: Switzerland
Web Site:

Stand: 1