An Optimized BCI System Based on P300 and Visual Mismatch Negativity

Author

Sijie Zhou ; Jing Jin ; Yu Zhang ; Xingyu Wang

Author_Institution

Key Lab. of Adv. Control & Optimization for Chem. Processes, East China Univ. of Sci. & Technol., Shanghai, China

fYear

2015

fDate

24-26 April 2015

Firstpage

620

Lastpage

623

Abstract

This paper presents a brain-computer interface (BCI) in which the face paradigm was optimized for the visual mismatch negativity (MMN). There were 12 cells in a LCD monitor. A single letter was at the bottom of each cell. In the new paradigm, a color face appeared above each of the 12 cells randomly while the gray faces appeared in others 11 cells. A traditional face paradigm with single character pattern was compared. Three healthy subjects participated in the experiment. Results showed that the new paradigm elicited larger N200 and N400 components than traditional face paradigm and had better performance in online session. The results demonstrated the advantages of the new paradigm in our P300 speller system.

Keywords

brain-computer interfaces; electroencephalography; liquid crystal displays; pattern matching; spelling aids; LCD monitor; MMN; N200 components; N400 components; P300 speller system; brain-computer interface; color face; face paradigm; optimized BCI system; visual mismatch negativity; Accuracy; Brain-computer interfaces; Electrodes; Electroencephalography; Face; Frequency modulation; Visualization; Brain-computer interface; EEG formatting; Flash pattern; Mismatch negative; P300; event-related potential;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-6849-0

Type

conf

DOI

10.1109/ICISCE.2015.143

Filename

7120683