基于模态注意力图卷积特征融合的EEG和fNIRS情感识别
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赵卿,张雪英,陈桂军,张静
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EEG and fNIRS emotion recognition based on modality attention graph convolution feature fusion
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Qing ZHAO,Xue-ying ZHANG,Gui-jun CHEN,Jing ZHANG
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| 表 5 不同融合方法在EEG-fNIRS数据集上的结果 |
| Tab.5 Results of different fusion methods on EEG-fNIRS dataset |
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| 模型 | Acc(Std)/% | | EEG(DE)+HbO+HbR | EEG(PSD)+HbO+HbR | SVM[15]
CF[12]
PF[12] | 90.36(5.97)
91.77(4.31)
93.74(3.45) | 81.47(13.29)
89.87(3.84)
91.13(4.02) | | TF[12] | 92.91(3.22) | 90.58(3.91) | | LMF[32] | 94.07(3.84) | 90.69(4.53) | | GF(本研究) | 94.93(3.12) | 92.15(3.99) | | MA-GF(本研究) | 95.81(2.78) | 93.83(3.34) | | MP-GF(本研究) | 96.11(2.50) | 94.80(2.44) | | MA-MP-GF(本研究) | 96.83(2.13) | 95.71(2.14) |
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