DocumentCode :
636755
Title :
A BCI using VEP for continuous control of a mobile robot
Author :
Kapeller, C. ; Hintermuller, Christoph ; Abu-Alqumsan, M. ; Pruckl, R. ; Peer, Angelika ; Guger, C.
Author_Institution :
Guger Technol. OG, Schiedlberg, Austria
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
5254
Lastpage :
5257
Abstract :
A brain-computer interface (BCI) translates brain activity into commands to control devices or software. Common approaches are based on visual evoked potentials (VEP), extracted from the electroencephalogram (EEG) during visual stimulation. High information transfer rates (ITR) can be achieved using (i) steady-state VEP (SSVEP) or (ii) code-modulated VEP (c-VEP). This study investigates how applicable such systems are for continuous control of robotic devices and which method performs best. Eleven healthy subjects steered a robot along a track using four BCI controls on a computer screen in combination with feedback video of the movement. The average time to complete the tasks was (i) 573.43 s and (ii) 222.57 s. In a second non-continuous trial-based validation run the maximum achievable online classification accuracy over all subjects was (i) 91.36 % and (ii) 98.18 %. This results show that the c-VEP fits the needs of a continuous system better than the SSVEP implementation.
Keywords :
brain-computer interfaces; electroencephalography; feedback; medical robotics; medical signal processing; mobile robots; signal classification; visual evoked potentials; BCI controls; EEG; SSVEP; brain activity; brain-computer interface; c-VEP; code-modulated VEP; computer screen; continuous control; electroencephalogram; feedback video; information transfer rates; mobile robot; noncontinuous trial-based validation; online classification accuracy; robotic devices; steady-state VEP; visual evoked potentials; visual stimulation; Accuracy; Brain-computer interfaces; Electroencephalography; Robots; Steady-state; Tracking; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610734
Filename :
6610734
Link To Document :
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