Robot Navigation using Brain-Computer Interfaces

D 2012

Robot Navigation using Brain-Computer Interfaces

VOURVOPOULOS, Athanasios a Fotis LIAROKAPIS

Základní údaje

Originální název

Robot Navigation using Brain-Computer Interfaces

Autoři

VOURVOPOULOS, Athanasios a Fotis LIAROKAPIS

Vydání

Proc. of the 11th International Conference on Ubiquitous Computingand Communications (IUCC 2012), od s. 1785-1792, 8 s. 2012

Nakladatel

IEEE Computer Society

Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

ISBN

978-0-7695-4745-9

DOI

https://doi.org/10.1109/TrustCom.2012.247

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 15. 11. 2014 12:25, doc. Fotios Liarokapis, PhD

Anotace

V originále

This paper identifies the user's adaptation on brain-controlled systems and the ability to control brain-generated events in a closed neuro-feedback loop. To accomplish that, a working system has been developed based on off-the-shelf components for controlling a robot in both the real and virtual world. Using commercial Brain-Computer Interfaces (BCIs) the overall cost, set up time and complexity can be reduced. The system is divided in two prototypes based on the headset type used. The first prototype is based on the Neurosky headset and it has been tested with 54 participants. The second prototype is based on the Emotiv headset including more sensors and accuracy. Initial evaluation results indicate that robot navigation through commercial BCIs can be effective and natural.

Citovat

VOURVOPOULOS, Athanasios a Fotis LIAROKAPIS. Robot Navigation using Brain-Computer Interfaces. Online. In Proc. of the 11th International Conference on Ubiquitous Computingand Communications (IUCC 2012). IEEE Computer Society, 2012, s. 1785-1792. ISBN 978-0-7695-4745-9. Dostupné z: https://doi.org/10.1109/TrustCom.2012.247.

@inproceedings{1206105,
   author = {Vourvopoulos, Athanasios and Liarokapis, Fotis},
   booktitle = {Proc. of the 11th International Conference on Ubiquitous Computingand Communications (IUCC 2012)},
   doi = {https://doi.org/10.1109/TrustCom.2012.247},
   howpublished = {elektronická verze "online"},
   isbn = {978-0-7695-4745-9},
   pages = {1785-1792},
   publisher = {IEEE Computer Society},
   title = {Robot Navigation using Brain-Computer Interfaces},
   url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6296200&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6296200},
   year = {2012}
}

TY  - CONF
ID  - 1206105
AU  - Vourvopoulos, Athanasios - Liarokapis, Fotis
PY  - 2012
TI  - Robot Navigation using Brain-Computer Interfaces
PB  - IEEE Computer Society
SN  - 9780769547459
UR  - http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6296200&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6296200
N2  - This paper identifies the user's adaptation on brain-controlled systems and the ability to control brain-generated events in a closed neuro-feedback loop. To accomplish that, a working system has been developed based on off-the-shelf components for controlling a robot in both the real and virtual world. Using commercial Brain-Computer Interfaces (BCIs) the overall cost, set up time and complexity can be reduced. The system is divided in two prototypes based on the headset type used. The first prototype is based on the Neurosky headset and it has been tested with 54 participants. The second prototype is based on the Emotiv headset including more sensors and accuracy. Initial evaluation results indicate that robot navigation through commercial BCIs can be effective and natural.
ER  -

VOURVOPOULOS, Athanasios a Fotis LIAROKAPIS. Robot Navigation using Brain-Computer Interfaces. Online. In \textit{Proc. of the 11th International Conference on Ubiquitous Computingand Communications (IUCC 2012)}. IEEE Computer Society, 2012, s.~1785-1792. ISBN~978-0-7695-4745-9. Dostupné z: https://doi.org/10.1109/TrustCom.2012.247.

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