Research Article
Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition
Table 2
HOG and SVM optimized parameters for training and testing with the LS learning algorithm.
| Exp. No. | HOG-CS | HOG-bs | Image size | Feature length/image | Training time | Testing time | Accuracy | ConMat |
| 1 | 11 | 2 | 100 | 864 | 4.6 | 1.1 | 88.6000 | 809 | 110 | 118 | 963 | 2 | 7 | 2 | 100 | 2808 | 7.3 | 4.6 | 87.9000 | 801 | 118 | 124 | 957 | 3 | 9 | 2 | 100 | 1440 | 7.31 | 3.7 | 88.4500 | 808 | 111 | 120 | 961 | 4 | 13 | 2 | 100 | 432 | 5.3 | 0.3 | 87.7 | 802 | 117 | 129 | 952 | 5 | 15 | 2 | 100 | 360 | 6.40 | 0.4 | 88.20 | 807 | 112 | 124 | 957 |
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