Research Article
Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition
Table 4
HOG and SVM optimized parameters for training and testing with SMO.
| Exp. No. | HOG-CS | HOG-bs | Image size | Feature length/image | Training time | Testing time | Accuracy | ConMat |
| 1 | 7 | 2 | 80 | 1440 | 93.8 | 2 | 88.70 | 803 | 116 | 110 | 971 | 2 | 9 | 2 | 80 | 756 | 3.26 | 0.8 | 88.90 | 817 | 102 | 120 | 961 | 3 | 11 | 2 | 80 | 432 | 2.83 | 0.5 | 88.25 | 801 | 118 | 117 | 964 | 4 | 13 | 2 | 80 | 360 | 2.76 | 0.3 | 88.35 | 799 | 120 | 113 | 968 | 5 | 15 | 2 | 80 | 144 | 3.28 | 0.1 | 88.30 | 800 | 119 | 115 | 966 |
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