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
Link To Document