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@ARTICLE{millan:2004:ieee-tbme,
                      author = {Mill{\'{a}}n, Jos{\'{e}} del R. and Renkens, F. and Mouri{\~{n}}o, J. and Gerstner, W.},
                    projects = {Idiap},
                       title = {Non-Invasive Brain-Actuated Control of a Mobile Robot by Human {EEG}},
                     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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2004/millan_2004_tbme.pdf},
ipdmembership={learning},
}