Brain-computer interface with rapid serial multimodal presentation using artificial facial images and voice

Electroencephalography (EEG) signals elicited by multimodal stimuli can drive brain-computer interfaces (BCIs), and research has demonstrated that visual auditory be employed simultaneously to improve BCI performance. However, no studies have investigated the effect of in rapid serial presentation (RSVP) BCIs. In present study, we propose a (RSMP) incorporates artificial facial images voice stimuli. To clarify audiovisual on RSMP BCI, scrambled masked sounds were applied instead stimuli, respectively. Our findings indicated improved performance P300 at Pz contributed classification accuracy. Online accuracy reached 85.7+-11.5%. Taken together, these may aid development better gaze-independent systems.