Table 3.
Overall accuracy (Acc), specificity (true negative rate (TNR)), sensitivity/recall (true positive rate (TPR)) and precision (positive predictive value (PPV)) values of the posture recognition when using the four different kernel functions considering the trunk–lower limb (T-Ll) and upper body (UpB) datasets in the LL task.
| LL Task | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 kg | 2 kg | 5 kg | |||||||||||
| SVM kernels | Acc | TNR | TPR | PPV | Acc | TNR | TPR | PPV | Acc | TNR | TPR | PPV | |
| T-Ll | Linear | 98.7 | 98.7 | 98.7 | 98.7 | 94.9 | 94.9 | 94.9 | 94.9 | 98.1 | 98.7 | 97.4 | 98.7 |
| Quadratic | 95.5 | 96.2 | 94.9 | 96.1 | 99.4 | 98.7 | 100 | 98.7 | 97.4 | 96.2 | 98.7 | 96.3 | |
| Cubic | 96.8 | 97.4 | 96.2 | 97.4 | 98.7 | 98.7 | 98.7 | 98.7 | 96.8 | 96.2 | 97.4 | 96.2 | |
| Gaussian | 98.1 | 98.7 | 97.4 | 98.7 | 99.4 | 100 | 98.7 | 100 | 97.4 | 96.2 | 98.7 | 96.3 | |
| UpB | Linear | 73.7 | 70.5 | 76.9 | 72.3 | 72.4 | 67.9 | 76.9 | 70.6 | 71.2 | 73.1 | 69.2 | 72.0 |
| Quadratic | 76.9 | 76.9 | 76.9 | 76.9 | 71.8 | 70.5 | 73.1 | 71.3 | 67.3 | 67.9 | 66.7 | 67.5 | |
| Cubic | 62.2 | 56.4 | 67.9 | 60.9 | 62.8 | 55.1 | 70.5 | 61.1 | 70.5 | 69.2 | 71.8 | 70.0 | |
| Gaussian | 69.2 | 66.7 | 71.8 | 68.3 | 73.1 | 70.5 | 75.6 | 72.0 | 69.2 | 69.2 | 69.2 | 69.2 | |