Table 1 The first column represents the subject number, the second column - classification accuracy of two imagined visual categories, and the third column - classification accuracy of observation (during cue display) of the two visual categories.
Subject number | Imagery VS Imagery, SpecCSP, % | Observation VS Observation, SpecCSP, % |
|---|---|---|
1 | 0.4833 | 0.4667 |
2 | 0.6333 | 0.8667 |
3 | 0.6333 | 0.8 |
4 | 0.5431 | 0.5778 |
5 | 0.5319 | 0.5194 |
6 | 0.5306 | 0.4306 |
7 | 0.5167 | 0.6403 |
8 | 0.5542 | 0.6056 |
9 | 0.5306 | 0.5194 |
10 | 0.5444 | 0.5458 |
11 | 0.7153 | 0.7667 |
12 | 0.5056 | 0.5556 |
13 | 0.6889 | 0.6319 |
14 | 0.4806 | 0.6153 |
15 | 0.6403 | 0.5958 |
16 | 0.6667 | 0.7139 |
17 | 0.5069 | 0.6764 |
18 | 0.5069 | 0.7028 |
19 | 0.6194 | 0.6292 |
20 | 0.5181 | 0.6694 |
21 | 0.4819 | 0.5292 |
22 | 0.5556 | 0.6778 |
23 | 0.5681 | 0.6194 |
24 | 0.4806 | 0.6542 |
25 | 0.5097 | 0.6083 |
26 | 0.5319 | 0.4319 |
Mean value | 0.5594 | 0.6096 |