DocumentCode :
568551
Title :
Robot Navigation Using Brain-Computer Interfaces
Author :
Vourvopoulos, Athanasios ; Liarokapis, Fotis
Author_Institution :
Interactive Worlds Appl. Res. Group (iWARG), Coventry Univ., Coventry, UK
fYear :
2012
fDate :
25-27 June 2012
Firstpage :
1785
Lastpage :
1792
Abstract :
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.
Keywords :
brain-computer interfaces; closed loop systems; control engineering computing; feedback; mobile robots; neurocontrollers; path planning; BCI; Emotiv headset; Neurosky headset; brain-computer interfaces; brain-controlled systems; brain-generated events; closed neuro-feedback loop; headset type; real world; robot navigation; virtual world; Electroencephalography; Games; Headphones; Prototypes; Robot sensing systems; brain-computer interfaces; human-robot interaction; serious games; virtual worlds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
Type :
conf
DOI :
10.1109/TrustCom.2012.247
Filename :
6296200
Link To Document :
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