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Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG
Open accessAbstract
Brain activity recorded noninvasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous electroencephalogram (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.
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Metadata
- Authors
- del R. Millan, J., Renkens, F., Mourino, J., & Gerstner, W.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2004-06
- Volume
- 51
- Issue
- 6
- Pages
- 1026-1033
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2142197234
- Cited by
- 740
- References
- 4
- FWCI
- 13.92
- Type
- journal article
- Language
- en
- Open access
- green
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