DocumentCode
1580877
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
fYear
2013
Firstpage
730
Lastpage
734
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
Conference_Location
Khartoum
Print_ISBN
978-1-4673-6231-3
Type
conf
DOI
10.1109/ICCEEE.2013.6634031
Filename
6634031
Link To Document