title: A combined brain-computer interface based on P300 potentials and motion-onset visual evoked potentials.
abstract: Brain-computer interfaces (BCIs) allow users to communicate via brain activity alone. Many BCIs rely on the P300 and other event-related potentials (ERPs) that are elicited when target stimuli flash. Although there have been considerable research exploring ways to improve P300 BCIs, surprisingly little work has focused on new ways to change visual stimuli to elicit more recognizable ERPs. In this paper, we introduce a "combined" BCI based on P300 potentials and motion-onset visual evoked potentials (M-VEPs) and compare it with BCIs based on each simple approach (P300 and M-VEP). Offline data suggested that performance would be best in the combined paradigm. Online tests with adaptive BCIs confirmed that our combined approach is practical in an online BCI, and yielded better performance than the other two approaches (P<0.05) without annoying or overburdening the subject. The highest mean classification accuracy (96%) and practical bit rate (26.7bit/s) were obtained from the combined condition.
authors.affiliation: Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China. Jinjingat@gmail.com
authors.forename: Jing
authors.initials: J
authors.lastname: Jin
authors.forename: Brendan Z
authors.initials: BZ
authors.lastname: Allison
authors.forename: Xingyu
authors.initials: X
authors.lastname: Wang
authors.forename: Christa
authors.initials: C
authors.lastname: Neuper
mesh_terms: D001921:Brain / Q000502:physiology*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009038:Motion; D009039:Motion Perception / Q000502:physiology; D010775:Photic Stimulation; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D055815:Young Adult