Research Article
Emotion Recognition Based on Type-2 Recurrent Wavelet Fuzzy Brain Emotion Learning Network Model
Table 1
comparison results on BU-3DFE database.
| ā | Canberra | Chebyshev | Clark | Cosine | Intersection | Kldist |
| LBP | 0.8256 | 0.1265 | 0.3975 | 0.9229 | 0.8496 | 0.0788 | AN-FT(MSE) | 0.5822 | 0.0883 | 0.2827 | 0.9606 | 0.8948 | 0.0392 | AN-FT(KL) | 0.9811 | 0.1641 | 0.4962 | 0.8638 | 0.8116 | 0.1463 | AN(FCl) | 0.5102 | 0.0787 | 0.2486 | 0.9692 | 0.9078 | 0.0303 | AN(FC2) | 0.5264 | 0.0814 | 0.2566 | 0.9674 | 0.9047 | 0.0321 | FRCNN | 0.4240 | 0.0554 | 0.1858 | 0.9778 | 0.9237 | 0.0132 | IT2RWFBELN | 0.2240 | 0.0425 | 0.1638 | 0.9078 | 0.9219 | 0.0115 |
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