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}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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