Controlling the Movement of a Robot with a Brain-Computer Interface (BCI)
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1
g.tec medical engineering GmbH, Austria
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2
Universitat Pompeu Fabra, Spain
A BCI (brain-computer interface) detects changes of brain electrical activity induced by a mental task or by an external stimulation and transforms these changes into a control signal. A number of different methodological approaches have been investigated in the past. For this experiment the Steady-State Visual Evoked Potential (SSVEP) approach is used to control the movement of a small robot (e-puck, EPFL education robot). Using 4 different target flickering frequencies (10, 11, 12 and 13 Hz) the BCI controls the movement of the robot forward, backward, to the left and to the right. The performance of 3 volunteer subjects was tested in a randomized task experiment. For the best subject only 29 out of 1088 decisions were wrong. The results show that SSVEPs can be used for multi-class BCI applications including a zero-class with a high accuracy but further improvement of the method will lead to even better results in the future.
Conference:
Annual CyberTherapy and CyberPsychology 2009 conference, Villa Caramora, Italy, 21 Jun - 23 Jun, 2009.
Presentation Type:
Oral Presentation
Topic:
Oral Presentations
Citation:
Krausz
G,
Guger
C,
Prueck
R,
Verschure
P and
Bermudez I Badi
S
(2009). Controlling the Movement of a Robot with a Brain-Computer Interface (BCI).
Front. Neuroeng.
Conference Abstract:
Annual CyberTherapy and CyberPsychology 2009 conference.
doi: 10.3389/conf.neuro.14.2009.06.053
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Received:
20 Mar 2009;
Published Online:
20 Mar 2009.
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Correspondence:
Gunther Krausz, g.tec medical engineering GmbH, Schiedlberg, Austria, krausz@gtec.at