Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG
Top Cited Papers
- 24 May 2004
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 51 (6) , 1026-1033
- https://doi.org/10.1109/tbme.2004.827086
Abstract
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.Keywords
This publication has 17 references indexed in Scilit:
- Temporal Processing of Brain Activity for the Recognition of EEG PatternsPublished by Springer Nature ,2002
- A local neural classifier for the recognition of EEG patterns associated to mental tasksIEEE Transactions on Neural Networks, 2002
- Direct Cortical Control of 3D Neuroprosthetic DevicesScience, 2002
- Instant neural control of a movement signalNature, 2002
- Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiersMedical Engineering & Physics, 2001
- Brain-computer interface research at the Wadsworth CenterIEEE Transactions on Rehabilitation Engineering, 2000
- A spelling device for the paralysedNature, 1999
- EOG correction: a new perspectiveElectroencephalography and Clinical Neurophysiology, 1998
- Self-Organizing MapsPublished by Springer Nature ,1997
- Spherical splines for scalp potential and current density mappingElectroencephalography and Clinical Neurophysiology, 1989