• 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