An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface
Table 7
Number of samples updated and ratio of correctly recognized samples by three methods.
Session
Adaptive calibration by SVM
Adaptive calibration by fCM
Fusion adaptive calibration
A
B
C
A
B
C
A
B
C
2
13
15
0.867
4
6
0.667
3
4
0.750
3
9
14
0.643
3
5
0.600
4
6
0.667
4
10
13
0.769
2
4
0.500
3
4
0.750
5
11
14
0.786
3
5
0.600
4
5
0.800
6
13
15
0.867
5
6
0.833
4
4
1.000
7
10
13
0.769
4
5
0.800
3
4
0.750
8
9
11
0.818
6
6
1.000
3
3
1.000
9
12
14
0.857
7
7
1.000
3
3
1.000
Sum
A and B denote the number of correctly labeled samples and the total number of samples updated into the training set, and C denotes the ratio of A and B.
