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book part or chapter
Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG
Brain activity recorded non-invasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous EEG analysis and machine learning techniques. Until now brain-actuated control has mainly relied on implanted electrodes, since EEG-based systems have been considered too slow for controlling rapid and complex sequences of movements. We show that two human subjects successfully moved a robot between several rooms by mental control only, using an EEG-based brain-machine interface that recognized three mental states. Mental control was comparable to manual control on the same task with a performance ratio of 0.74.
Type
book part or chapter
Authors
Publication date
2006
Publisher
Published in
2006 IMIA Yearbook of Medical Informatics
EPFL units
Available on Infoscience
February 11, 2010
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