Title :
Motor imagery based BCI for a maze game
Author :
Bordoloi, Sandip ; Sharmah, U. ; Hazarika, S.M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Tezpur Univ., Tezpur, India
Abstract :
Electroencephalogram (EEG) signals generated out of motor imagery (MI) can be used for Brain Computer Interfacing (BCI). In order to accomplish this goal, we have classified four different MI tasks using two hybrid features of bispectrum of EEG through a RBF kernel support vector machine. As a demonstration of its applicability for a non-invasive BCI, we design and develop a BCI maze game, where a player plays the game in real time using his brain signals.
Keywords :
brain-computer interfaces; computer games; electroencephalography; medical signal processing; EEG; RBF kernel support vector machine; brain computer interfacing; brain signals; electroencephalogram; maze game; motor imagery based BCI; Band pass filters; Electrodes; Electroencephalography; Feature extraction; Games; Kernel; Support vector machines; Bispectrum; Brain-Computer Interfacing; Electroencephalogram; Support Vector Machine;
Conference_Titel :
Intelligent Human Computer Interaction (IHCI), 2012 4th International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4673-4367-1
DOI :
10.1109/IHCI.2012.6481848
