DocumentCode :
3631796
Title :
Anticipatory brain potentials in a Brain-Robot Interface paradigm
Author :
Adrijan Bozinovski;Liljana Bozinovska
Author_Institution :
Department of Computer and Information Sciences, University American College Skopje, Macedonia
fYear :
2009
Firstpage :
451
Lastpage :
454
Abstract :
The paper describes a Brain-Robot Interface paradigm in which recognition of an anticipatory brain potential (in this case the Contingent Negative Variation - CNV) is acknowledged and reacted to by a robot arm movement. The well-known task of Towers of Hanoi is executed by a robotic arm. A measure of success is the subjects ability to generate series of CNV potentials in a CNV flip-flop paradigm which progresses towards the completion of the Towers of Hanoi task.
Keywords :
"Switches","Electroencephalography","Poles and towers","Flip-flops","Taxonomy","Robot control","Mobile robots","Intelligent robots","Neural engineering","Brain computer interfaces"
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2009. NER ´09. 4th International IEEE/EMBS Conference on
ISSN :
1948-3546
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
1948-3554
Type :
conf
DOI :
10.1109/NER.2009.5109330
Filename :
5109330
Link To Document :
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