DocumentCode :
3681042
Title :
Neural Mechanism of P300-Speller Brain-Computer Interface Using Familiar Face Paradigm
Author :
Qi Li;Shuai Liu;Jian Li
Author_Institution :
Sch. of Comput. Sci. &
fYear :
2015
Firstpage :
611
Lastpage :
614
Abstract :
Nowadays, P300-speller has become the most popular Brain-computer interface (BCI) which can provide a new communication path between patients suffered amyotrophic lateral sclerosis (ALS) and the outside world. Many efforts have been done to improve the speed and accuracy of the P300-speller. Recently, some researchers improve the performance of the P300-speller through replacing the flashing rows or columns target characters located with that the familiar faces overlaid on, which was called FF spelling paradigm. In this paper, an experiment based FF spelling paradigm was proposed and operated to make clear the neural mechanism when subjects facing the P300-speller using FF spelling paradigm. The result showed that more Event-related Potentials (ERPs) would be elicited contributing to classify, which would provide relevant theoretical basis for designing better graphical interface based on BCI.
Keywords :
"Face","Brain-computer interfaces","Electroencephalography","Neurophysiology","Electric potential","Face recognition","Visualization"
Publisher :
ieee
Conference_Titel :
Network and Information Systems for Computers (ICNISC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICNISC.2015.99
Filename :
7311963
Link To Document :
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