P300 Chinese input system based on Bayesian LDA.
A brain-computer interface (BCI) is a new communication channel between humans and computers that translates brain activity into recognizable command and control signals. Attended events can evoke P300 potentials in the electroencephalogram. Hence, the P300 has been used in BCI systems to spell, control cursors or robotic devices, and other tasks. This paper introduces a novel P300 BCI to communicate Chinese characters. To improve classification accuracy, an optimization algorithm (particle swarm optimization, PSO) is used for channel selection (i.e., identifying the best electrode configuration). The effects of different electrode configurations on classification accuracy were tested by Bayesian linear discriminant analysis offline. The offline results from 11 subjects show that this new P300 BCI can effectively communicate Chinese characters and that the features extracted from the electrodes obtained by PSO yield good performance.
Jin
Jing
J
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. jin@student.tugraz.at
Allison
Brendan Z
BZ
Brunner
Clemens
C
Wang
Bei
B
Wang
Xingyu
X
Zhang
Jianhua
J
Neuper
Christa
C
Pfurtscheller
Gert
G
D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D001921:Brain / Q000502:physiology*; D002681:China; D003143:Communication Devices for People with Disabilities; D016287:Computer Peripherals; D016002:Discriminant Analysis; D004569:Electroencephalography / Q000379:methods*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D014584:User-Computer Interface; D055815:Young Adult