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 [BibTeX] [Marc21]
Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG
Type of publication: Journal paper
Citation: millan:2004:ieee-tbme
Journal: IEEE Trans. on Biomedical Engineering, Special Issue on Brain-Machine Interfaces
Volume: 51
Number: 6
Year: 2004
Abstract: 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.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Millán, José del R.
Renkens, F.
Mouriño, J.
Gerstner, W.
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  • millan_2004_tbme.pdf