Research Article
A Recognition Method of Athletes’ Mental State in Sports Training Based on Support Vector Machine Model
Table 2
Expression-based emotion recognition results.
| Emotions/classifiers | BPNN | RBFNN | RF | KNN | TSK | SVM |
| Anger | 0.589 | 0.767 | 0.673 | 0.778 | 0.583 | 0.878 | Disgust | 0.536 | 0.706 | 0.570 | 0.684 | 0.708 | 0.841 | Fear | 0.643 | 0.475 | 0.658 | 0.494 | 0.540 | 0.762 | Happiness | 0.477 | 0.515 | 0.659 | 0.448 | 0.665 | 0.753 | Sadness | 0.695 | 0.436 | 0.672 | 0.643 | 0.566 | 0.803 | Surprise | 0.497 | 0.630 | 0.654 | 0.580 | 0.737 | 0.820 |
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