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Taking brain-computer interfaces to the next phase
Date:2/17/2011

d at once, limiting long-term use.

Milln's new work complements research on Shared Control and makes multitasking a reality while at the same time allows users to catch a break. His trick is in decoding the signals coming from EEG readings on the scalpreadings that represent the activity of millions of neurons and have notoriously low resolution. By incorporating statistical analysis, or probability theory, his BCI allows for both targeted controlmaneuvering around an obstacleand more precise tasks, such as staying on a target. It also makes it easier to give simple commands like "go straight" that need to be executed over longer periods of time (think back to that airport) without having to focus on giving the same command over and over again.

It will be a while before this cutting-edge technology makes the move from lab to production line, but Milln's prototypes are the first working models of their kind to use probability theory to make BCIs easier to use over time. His next step is to combine this new level of sophistication with Shared Control in an ongoing effort to take BCI to the next level, necessary for widespread use. Further advancements, such as finer grained interpretation of cognitive information, are being developed in collaboration with the European project for Tools for Brain Computer (www.tobi.com). The multinational project is headed by Professor Milln and has moved into the clinical testing phase for several BCIs.


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Contact: Michael Mitchell
michael.mitchell@epfl.ch
41-798-103-107
Ecole Polytechnique Fdrale de Lausanne
Source:Eurekalert  

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