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