Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 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 and
auditory stimuli can be employed simultaneously to improve BCI performance.
However, no studies have investigated the effect of multimodal stimuli in rapid
serial visual presentation (RSVP) BCIs. In the present study, we propose a
rapid serial multimodal presentation (RSMP) BCI that incorporates artificial
facial images and artificial voice stimuli. To clarify the effect of
audiovisual stimuli on the RSMP BCI, scrambled images and masked sounds were
applied instead of visual and auditory stimuli, respectively. Our findings
indicated that the audiovisual stimuli improved the performance of the RSMP
BCI, and that the P300 at Pz contributed to classification accuracy. Online
accuracy of BCI reached 85.7+-11.5%. Taken together, these findings may aid in
the development of better gaze-independent BCI systems.

26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
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The categories of this paper are: eess
20
The categories of this paper are: acc-phys
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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci