Title :
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
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);
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244593
