A comparison of navigation system based on P300 BCI and SSVEP BCI

Author

Meng, Lijing ; Jin, Jing ; Wang, Xingyu

Author_Institution

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

fYear

2012

fDate

23-25 May 2012

Firstpage

3703

Lastpage

3708

Abstract

A navigation system based on P300 brain computer interface system (BCIs) and steady-state visual evoked potentials (SSVEP) BCIs respectively was designed in this paper. In the experiment, subjects were required to move a ball on the computer screen to the target position by P300 BCI system and SSVEP BCI system. Bayesian linear discriminant analysis (BLDA) is used to detect P300 potentials and canonical correlation analysis (CCA) is used to detect SSVEP. The aim of this paper is to show the drawbacks and advantages of these two BCIs, when they were used in navigation task. The online experimental results show that P300 BCIs is more robust for subjects compared to SSVEP BCIs.

Keywords

Bayes methods; brain-computer interfaces; computer displays; screens (display); visual evoked potentials; Bayesian linear discriminant analysis; P300 BCI system; P300 brain computer interface system; P300 potentials; SSVEP BCI system; canonical correlation analysis; computer screen; navigation system; steady-state visual evoked potential BCI; target position; Accuracy; Band pass filters; Bit rate; Brain computer interfaces; Electrodes; Electroencephalography; Navigation; Brain Computer Interface; Navigation System; P300; Steady-State Visual Evoked Potentials (SSVEP);

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244593

Filename

6244593