Work

Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG

Year: 2004

Type: article

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.

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2004.827086

Authors: J. del R. Millan, F. Renkens, J. Mourino, W. Gerstner

Institutions: École Polytechnique Fédérale de Lausanne, Idiap Research Institute

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2142197234

FWCI: 12.47

Cites: 22

Cited by: 753

Related to: 10