Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Framework for Visual Motion Imagery Classification Using 3D
  Virtual BCI Platform   In this study, 3D brain-computer interface (BCI) training platforms were used
to stimulate the subjects for visual motion imagery and visual perception. We
measured the activation brain region and alpha-band power activity when the
subjects perceived and imagined the stimuli. Based on this, 4-class were
classified in visual stimuli session and visual motion imagery session
respectively. The results showed that the occipital region is involved in
visual perception and visual motion imagery, and alpha-band power is increased
in visual motion imagery session and decreased in visual motion stimuli
session. Compared with the performance of visual motion imagery and motor
imagery, visual motion imagery has higher performance than motor imagery. The
binary class was classified using one versus rest approach as well as analysis
of brain activation to prove that visual-related brain wave signals are
meaningful, and the results were significant.

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The categories of this paper are: solv-int
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg