Title :
Performance analysis of different techniques for Brain Computer Interfacing
Author :
Hasan, M.R. ; Ibrahimy, M.I. ; Motakabber, S.M.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Int. Islamic Univ. Malaysia, Gombak, Malaysia
Abstract :
Recent works on different types of Brain Computer Interface (BCI) and their performance analysis have provided some remarkable features for applications. The aim of this work is to compare the accuracies of different types of BCI to find out the suitable techniques. The study shows that each technique performance depends on the type of BCI. A batter performance of the BCI systems is supported by the artificial neural network.
Keywords :
brain-computer interfaces; neural nets; BCI systems; artificial neural network; brain computer interface; performance analysis; Accuracy; Brain-computer interfaces; Electroencephalography; Rhythm; Steady-state; Training; Visualization; Brain computer interface; electroencephalogram; event-related de-synchronization; event-related synchronization; motor imagery;
Conference_Titel :
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
Conference_Location :
Khartoum
Print_ISBN :
978-1-4673-6231-3
DOI :
10.1109/ICCEEE.2013.6634031
