研究文章
对测量目标知觉:一阶和二阶网络管道分类Fixation-Related潜力
|
| 方法 |
S1 |
S2 |
S3 |
S4 |
S5 |
S6 |
S7 |
S8 |
S9 |
S10 |
的意思是性病 |
|
| PCA + LDA |
0.8467 |
0.7596 |
0.8460 |
0.7678 |
0.8085 |
0.8324 |
0.8871 |
0.8733 |
0.7932 |
0.8353 |
|
| xDAWN + LDA |
0.8531 |
0.7504 |
0.8711 |
0.8198 |
0.8366 |
0.8017 |
0.8808 |
0.8957 |
0.7971 |
0.8380 |
|
| DeepConvNet |
0.9135 |
0.8603 |
0.9193 |
0.8456 |
0.9075 |
0.8634 |
0.9188 |
0.9071 |
0.8959 |
0.9167 |
|
| EEGNet |
0.9307 |
0.8568 |
0.9214 |
0.8589 |
0.8970 |
0.8597 |
0.8999 |
0.9272 |
0.9188 |
0.9262 |
|
|
| MDRM |
0.7901 |
0.6995 |
0.9170 |
0.7562 |
0.8858 |
0.8237 |
0.9377 |
0.8485 |
0.8996 |
0.9382 |
|
| TSLDA |
0.9298 |
0.8587 |
0.9059 |
0.6931 |
0.8619 |
0.8118 |
0.9464 |
0.8946 |
0.7898 |
0.9270 |
|
| SPDNet |
0.9453 |
0.8755 |
0.9307 |
0.8524 |
0.9366 |
0.8713 |
0.9480 |
0.9091 |
0.8999 |
0.9251 |
|
|
| 我们的 |
0.9521 |
0.8907 |
0.9519 |
0.8895 |
0.9400 |
0.9236 |
0.9428 |
0.9324 |
0.9451 |
0.9489 |
|
|
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