• DocumentCode
    131130
  • Title

    Control of robot using a brain computer interface

  • Author

    Chembrammel, Pramod ; Sankaran, Naveen Kumar ; Kesavadas, Thenkurussi

  • Author_Institution
    Mech. & Aerosp. Eng. Dept., Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2014
  • fDate
    March 29 2014-April 2 2014
  • Firstpage
    147
  • Lastpage
    147
  • Abstract
    Summary form only given. In the video, experiments demonstrating the control of robot using a brain computer interface are shown. This is done using “actemes”. Actemes are fundamental units of action. The actemes can be combined to perform complex tasks. The user who performs the tasks imagines the complex actions as an ordered combination of actemes. The EEG of the user during the process is collected and classified in real-time using independent component analysis (ICA)[1, 2] and a neural network classifier[3, 4] to identify the actemes. This ordered set of actemes can be considered to be meaningful sentence in a language. The order in which the complex action is constructed is called the grammar. Two such tasks are demonstrated using these experiments. The first task involves insertion of round peg into a hole and rotating the peg inorder to simulate the insertion of a screw into threaded hole. The actemes involved are “insert” and “rotate”. The second task is a point-to-point movement of a peg in which the peg is to be moved from a circular zone at the bottom right to the circular zone centered at the cross hair at the top left of the screen. The representative image is shown in Fig 1.
  • Keywords
    brain-computer interfaces; electroencephalography; independent component analysis; neural nets; redundant manipulators; signal classification; EEG; ICA; actemes identification; brain computer interface; electroencephalography; independent component analysis; neural network classifier; point-to-point movement; robot control; screw insertion; Aerospace control; Biological neural networks; Brain-computer interfaces; Educational institutions; Electroencephalography; Independent component analysis; Robots; Brain computer interface; EEG classification and identification; actemes; neural contol of robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality (VR), 2014 iEEE
  • Conference_Location
    Minneapolis, MN
  • Type

    conf

  • DOI
    10.1109/VR.2014.6802094
  • Filename
    6802094